Anastasios Tefas

发表

Discriminant Subspace Learning Based on Support Vectors Machines

Anastasios Tefas, Nikolaos Pitelis, 2012, MLDM.

Performance assessment of morphological dynamic link architecture under optimal and real operating conditions

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1999, NSIP.

Caricature generation utilizing the notion of anti-face

Anastasios Tefas, Vlasis Gogousis, 2017, Multimedia Tools and Applications.

Multimodal Speaker Diarization Utilizing Face Clustering Information

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, ICIG.

Using deep learning to detect price change indications in financial markets

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Unsupervised Knowledge Transfer Using Similarity Embeddings

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Deep Convolutional Feature Histograms for Visual Object Tracking

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Initializing photonic feed-forward neural networks using auxiliary tasks

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2020, Neural Networks.

Improving Universal Style Transfer using Sub-style Decomposition

Anastasios Tefas, Nikolaos Passalis, Paraskevas Pegios, 2020, SETN.

Laplacian Support Vector Analysis for Subspace Discriminative Learning

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2014, 2014 22nd International Conference on Pattern Recognition.

Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition

Anastasios Tefas, Paraskevi Nousi, 2017, EANN.

Fast label propagation on facial images using a pruned similarity matrix

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2016, 2016 Digital Media Industry & Academic Forum (DMIAF).

Attention-based Neural Bag-of-Features Learning for Sequence Data pdf

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2020, ArXiv.

Deep convolutional learning for Content Based Image Retrieval

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2018, Neurocomputing.

Visual Information Analysis for Big-Data Using Multi-core Technologies

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, ECC.

Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, Signal Process..

Long-term temporal averaging for stochastic optimization of deep neural networks

Anastasios Tefas, Nikolaos Passalis, 2018, Neural Computing and Applications.

Watermarking of 3D models using principal component analysis

Anastasios Tefas, Ioannis Pitas, Andreas Kalivas, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Face detection based on deep convolutional neural networks exploiting incremental facial part learning

Anastasios Tefas, Danai Triantafyllidou, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Exploiting graph embedding in support vector machines

Anastasios Tefas, Georgios Arvanitidis, A. Tefas, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

A salient dictionary learning framework for activity video summarization via key-frame extraction

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2018, Inf. Sci..

Price Trailing for Financial Trading Using Deep Reinforcement Learning

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining

Anastasios Tefas, Paraskevi Nousi, Danai Triantafyllidou, 2017, Big Data Res..

Photonic Recurrent Neural Networks with Gating Circuit

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2020, 2020 Conference on Lasers and Electro-Optics (CLEO).

Motivating class-specific nonlinear projections for single and multiple view face verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2008, ICIP.

Stereo object tracking with fusion of texture, color and disparity information

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, Signal Process. Image Commun..

Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance

Anastasios Tefas, Ioannis Pitas, Nikolaos Tsapanos, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Facial image clustering in stereo videos using local binary patterns and double spectral analysis

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval pdf

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2019, ArXiv.

Multimodal speaker clustering in full length movies

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, Multimedia Tools and Applications.

Fast Kernel Matrix Computation for Big Data Clustering

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, ICCS.

Statistical analysis of a watermarking system based on Bernoulli chaotic sequences

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2001, Signal Process..

Active classification for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 2013 IEEE International Conference on Image Processing.

Spatial Bag of Features Learning for Large Scale Face Image Retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2016, INNS Conference on Big Data.

Facial image clustering in stereoscopic videos using double spectral analysis

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, Signal Process. Image Commun..

Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2019, 2019 Optical Fiber Communications Conference and Exhibition (OFC).

Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation

Anastasios Tefas, Damianos Galanopoulos, Christos Athanasiadis, 2012, SETN.

Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods

Anastasios Tefas, Ioannis Pitas, Anastasios Maronidis, 2010, ICANN.

Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2010, 2010 20th International Conference on Pattern Recognition.

Lightweight two-stream convolutional face detection

Anastasios Tefas, Paraskevi Nousi, Danai Triantafyllidou, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Visual voice activity detection based on spatiotemporal information and bag of words

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Robust Spatial 3D Image Watermarking

Anastasios Tefas, Ioannis Pitas, Kleoniki Lyroudia, 2001 .

Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2005, ICAPR.

Enhanced transform-domain correlation-based audio watermarking

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Face Detection Using Particle Swarm Optimization and Support Vector Machines

Anastasios Tefas, Ermioni Marami, 2010, SETN.

Interactive dimensionality reduction using similarity projections

Anastasios Tefas, Dimitris Spathis, Nikolaos Passalis, 2018, Knowl. Based Syst..

Face Verification and Recognition for Digital Forensics and Information Security

Anastasios Tefas, Claudio Gennaro, Nikolaos Passalis, 2019, 2019 7th International Symposium on Digital Forensics and Security (ISDFS).

Pairwise facial expression classification

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2009, 2009 IEEE International Workshop on Multimedia Signal Processing.

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

A Novel Kernel Discriminant Analysis for Face Verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, 2007 IEEE International Conference on Image Processing.

Recurrent bag-of-features for visual information analysis

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2020, Pattern Recognit..

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms

Anastasios Tefas, Moncef Gabbouj, Jenni Raitoharju, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Occlusion detection and drift-avoidance framework for 2D visual object tracking

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2021, Signal Process. Image Commun..

Self-supervised autoencoders for clustering and classification

Anastasios Tefas, Paraskevi Nousi, A. Tefas, 2020, Evol. Syst..

Graph-based Kernel Representation of Videos for Traditional Dance Recognition

Anastasios Tefas, Christina Chrysouli, Vasileios Gavriilidis, 2014, IJCCI.

Spectral Clustering Using Evolving Similarity Graphs

Anastasios Tefas, Christina Chrysouli, A. Tefas, 2014, IJCCI.

Neuromorphic Photonics With Coherent Linear Neurons Using Dual-IQ Modulation Cells

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2020, Journal of Lightwave Technology.

Bernoulli shift generated chaotic watermarks: theoretic investigation

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Semi-supervised subclass support vector data description for image and video classification

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2018, Neurocomputing.

Face recognition via adaptive discriminant clustering

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2008, 2008 15th IEEE International Conference on Image Processing.

Explicit ensemble attention learning for improving visual question answering

Anastasios Tefas, Nikolaos Passalis, Vasileios Lioutas, 2018, Pattern Recognit. Lett..

Deep convolutional image retrieval: A general framework

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2018, Signal Process. Image Commun..

Merging linear discriminant analysis with Bag of Words model for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Discriminant action representation for view-invariant person identification

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, 2012 19th IEEE International Conference on Image Processing.

Person de-identification in activity videos

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

A comparative study of representations for folk dances recognition in video

Anastasios Tefas, Nikos Nikolaidis, Eftychia Fotiadou, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data pdf

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, ArXiv.

Regularized extreme learning machine for multi-view semi-supervised action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, Neurocomputing.

Transferring trading strategy knowledge to deep learning models

Anastasios Tefas, Avraam Tsantekidis, A. Tefas, 2020, Knowl. Inf. Syst..

Intelligent Data analysis and its Applications, Volume I - Proceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014, June 13-15, 2014, Shenzhen, China

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, European Control Conference.

Discriminant Graph Structures for Face Verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Fully Unsupervised Convolutional Learning for Fast Image Retrieval

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2018, SETN.

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2018, IEEE Access.

Incremental Label Propagation on Facial Images

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

A survey on watermarking application scenarios and related attacks

Anastasios Tefas, Athanasios Nikolaidis, Sofia Tsekeridou, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, IEEE Transactions on Cybernetics.

Dynamic training using multistage clustering for face recognition

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2008, Pattern Recognit..

Continuous drone control using deep reinforcement learning for frontal view person shooting

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2019, Neural Computing and Applications.

Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, ICCS.

Mutual Information Measures for Subclass Error-Correcting Output Codes Classification

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2010, SETN.

Discriminative clustering using regularized subspace learning

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2019, Pattern Recognit..

Kernel Reference Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, Pattern Recognit. Lett..

One class classification applied in facial image analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Class-Specific Kernel-Discriminant Analysis for Face Verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, IEEE Transactions on Information Forensics and Security.

Video characterization based on activity clustering

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 8th International Conference on Electrical and Computer Engineering.

The discriminant elastic graph matching algorithm applied to frontal face verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, Pattern Recognit..

Iterative Label Propagation on facial images

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Neural representation and learning for multi-view human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

All-Optical WDM Recurrent Neural Networks With Gating

Anastasios Tefas, Nikolaos Passalis, George Mourgias-Alexandris, 2020, IEEE Journal of Selected Topics in Quantum Electronics.

Class-specific discriminant regularization in real-time deep CNN models for binary classification problems

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2019, Neural Processing Letters.

Dynamic action recognition based on dynemes and Extreme Learning Machine

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, Pattern Recognit. Lett..

Exploiting Local Class Information in Extreme Learning Machine

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, IJCCI.

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning

Anastasios Tefas, Nikolaos Passalis, Maria Tzelepi, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Bag of Embedded Words learning for text retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Autonomous UAV Cinematography

Anastasios Tefas, Ioannis Pitas, Alberto Messina, 2019, ACM Comput. Surv..

Recent advances in discriminant non-negative Matrix Factorization

Anastasios Tefas, Ioannis Pitas, Symeon Nikitidis, 2011, The First Asian Conference on Pattern Recognition.

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition

Anastasios Tefas, Ioannis Pitas, Konstantinos Papachristou, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2016, IEEE Transactions on Image Processing.

Large graph clustering using DCT-based graph clustering

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD).

A Multiple-UAV Software Architecture for Autonomous Media Production

Rita Cunha, Anastasios Tefas, Ioannis Pitas, 2019 .

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, Int. J. Artif. Intell. Tools.

2015 IEEE Trustcom/BigDataSE/ISPA

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, Big Data 2016.

Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2003, IEEE Trans. Signal Process..

Heterogeneous Knowledge Distillation Using Information Flow Modeling

Anastasios Tefas, Nikolaos Passalis, Maria Tzelepi, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Human crowd detection for drone flight safety using convolutional neural networks

Anastasios Tefas, Maria Tzelepi, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Anastasios Tefas, Constantine Kotropoulos, Nikos Nikolaidis, 2016, 2016 Digital Media Industry & Academic Forum (DMIAF).

Using support vector machines for face authentication based on elastic graph matching

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Person identification from actions based on Artificial Neural Networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM).

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Frontal face authentication using morphological elastic graph matching

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2000, IEEE Trans. Image Process..

Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Nearest Class Vector Classification for Large-Scale Learning Problems

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Progressive neural network training for the Open Racing Car Simulator

Anastasios Tefas, Damianos Galanopoulos, Christos Athanasiadis, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

One-Class Classification Based on Extreme Learning and Geometric Class Information

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, Neural Processing Letters.

Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization

Anastasios Tefas, Maria Tzelepi, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition

Anastasios Tefas, Ioannis Pitas, Anastasios Maronidis, 2010, ICANN.

De-identifying facial images using singular value decomposition and projections

Anastasios Tefas, Ioannis Pitas, Panteleimon Chriskos, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Complete vector quantization of feedforward neural networks

Anastasios Tefas, Nikolaos Floropoulos, A. Tefas, 2019, Neurocomputing.

A Bag of Words approach for recognition of Greek folk dances

Anastasios Tefas, Nikos Nikolaidis, Ioannis Kapsouras, 2016, SETN.

Human Centered Interfaces for Assisted Living

Anastasios Tefas, Ioannis Pitas, I. Pitas, 2011, ICMMI.

Subclass discriminant Nonnegative Matrix Factorization for facial image analysis

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2012, Pattern Recognit..

Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning

Anastasios Tefas, Ioannis Pitas, Symeon Nikitidis, 2014, IEEE Transactions on Cybernetics.

Supervised video summarization by content-based video segment selection

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014 .

Few-shot Image Recognition for UAV Sports Cinematography

Anastasios Tefas, Ioannis Pitas, Emmanouil Patsiouras, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Graph Embedded One-Class Classifiers for media data classification

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, Pattern Recognit..

Exploiting subclass information in one-class support vector machine for video summarization

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

De-identifying facial images using projections on hyperspheres

Anastasios Tefas, Ioannis Pitas, Panteleimon Chriskos, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Using subclasses in discriminant non-negative subspace learning for facial expression recognition

Anastasios Tefas, Ioannis Pitas, Symeon Nikitidis, 2011, 2011 19th European Signal Processing Conference.

Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2018, Signal Process. Image Commun..

Automated Facial Pose Extraction From Video Sequences Based on Mutual Information

Anastasios Tefas, Ioannis Pitas, Georgios Goudelis, 2008, IEEE Transactions on Circuits and Systems for Video Technology.

Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Watermarking of 3D models using principal component analysis

Anastasios Tefas, Ioannis Pitas, Andreas Kalivas, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Multi-view semantic temporal video segmentation

Anastasios Tefas, Ioannis Pitas, Thomas Theodoridis, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Minimum Class Variance Extreme Learning Machine for Human Action Recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Using mutual information to indicate facial poses in video sequences

Anastasios Tefas, Ioannis Pitas, Georgios Goudelis, 2009, CIVR '09.

Maximum Margin Projection Subspace Learning for Visual Data Analysis

Anastasios Tefas, Ioannis Pitas, Symeon Nikitidis, 2014, IEEE Transactions on Image Processing.

Evolution of Graphs for Unsupervised Learning

Anastasios Tefas, Christina Chrysouli, A. Tefas, 2014, IJCCI.

Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2001, Communications and Multimedia Security.

Deep Reinforcement Learning for Financial Trading Using Price Trailing

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry

Anastasios Tefas, Ioannis Pitas, Konstantinos Papachristou, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Spectral clustering and semi-supervised learning using evolving similarity graphs

Anastasios Tefas, Christina Chrysouli, A. Tefas, 2015, Appl. Soft Comput..

Exploiting supervised learning for finetuning deep CNNs in content based image retrieval

Anastasios Tefas, Maria Tzelepi, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2017, 2017 IEEE 19th Conference on Business Informatics (CBI).

Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations

Anastasios Tefas, Nikolaos Passalis, George Mourgias-Alexandris, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Summarization of human activity videos using a salient dictionary

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Visual Object Detection For Autonomous UAV Cinematography

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2020, Proceedings of the Northern Lights Deep Learning Workshop.

Neural Bag-of-Features learning

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2017, Pattern Recognit..

Human movement recognition using fuzzy clustering and discriminant analysis

Anastasios Tefas, Ioannis Pitas, Nikolaos Gkalelis, 2008, 2008 16th European Signal Processing Conference.

A distributed framework for trimmed Kernel k-Means clustering

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, Pattern Recognit..

Exploiting Quadratic Mutual Information for Discriminant Analysis

Anastasios Tefas, Vasileios Gavriilidis, A. Tefas, 2012, SETN.

Deep learning algorithms for discriminant autoencoding

Anastasios Tefas, Paraskevi Nousi, 2017, Neurocomputing.

Feature Comparison and Feature Fusion for Traditional Dances Recognition

Anastasios Tefas, Nikos Nikolaidis, Ioannis Kapsouras, 2013, EANN.

A benchmarking protocol for watermarking methods

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

A novel dimensionality reduction technique based on kernel optimization through graph embedding

Anastasios Tefas, Ioannis Pitas, Nicholas Vretos, 2015, Signal Image Video Process..

Online shape learning using binary search trees

Anastasios Tefas, Ioannis Pitas, Nikolaos Tsapanos, 2010, Image Vis. Comput..

2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD 2014)

Anastasios Tefas, Ioannis Pitas, Nikolaos Nikolaidis, 2015 .

Decoding Generic Visual Representations From Human Brain Activity using Machine Learning

Anastasios Tefas, Nikolaos Passalis, Angeliki Papadimitriou, 2018, ECCV Workshops.

DropELM: Fast neural network regularization with Dropout and DropConnect

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, Neurocomputing.

Laplacian one class extreme learning machines for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP).

Frontal Face Authentication Using Discriminating Grids with Morphological Feature Vectors

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2000, IEEE Trans. Multim..

A review of approximate methods for kernel-based big media data analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Person Identity Label Propagation in Stereo Videos

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, IEEE Transactions on Multimedia.

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations

Anastasios Tefas, Nikolaos Passalis, Maria Tzelepi, 2020, ISCAS.

Image Watermarking: Techniques and Applications

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2009 .

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data pdf

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, Pattern Recognit. Lett..

Anastasios Tefas, Ioannis Pitas, Giorgos Louizis, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Shot type characterization in 2D and 3D video content

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP).

Visual representation decoding from human brain activity using machine learning: A baseline study

Anastasios Tefas, Nikolaos Passalis, Angeliki Papadimitriou, 2019, Pattern Recognit. Lett..

Dynamic Shape Learning and Forgetting

Anastasios Tefas, Ioannis Pitas, Nikolaos Tsapanos, 2010, ICANN.

Deep reinforcement learning for controlling frontal person close-up shooting

Anastasios Tefas, Nikolaos Passalis, 2019, Neurocomputing.

Learning sparse representations for view-independent human action recognition based on fuzzy distances

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, Neurocomputing.

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Blind robust watermarking schemes for copyright protection of 3D mesh objects

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2005, IEEE Transactions on Visualization and Computer Graphics.

Global Adaptive Input Normalization for Short-Term Electric Load Forecasting

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Emerging biometric modalities: a survey

Anastasios Tefas, Ioannis Pitas, Georgios Goudelis, 2008, Journal on Multimodal User Interfaces.

Visual object tracking based on the object's salient features with application in automatic nutrition assistance

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A blind robust watermarking scheme for copyright protection of 3D mesh models

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Chaoticwatermark sequences for correlation-based schemes

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2004, 2004 12th European Signal Processing Conference.

Human action recognition in stereoscopic videos based on bag of features and disparity pyramids

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

View-independent human action recognition based on multi-view action images and discriminant learning

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, IVMSP 2013.

Visual Voice Activity Detection in the Wild

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, IEEE Transactions on Multimedia.

Neural Networks Training for Weapon Selection in First-Person Shooter Games

Anastasios Tefas, Stelios Petrakis, A. Tefas, 2010, ICANN.

Video summarization based on Subclass Support Vector Data Description

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Visual Object Tracking Based on Local Steering Kernels and Color Histograms

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Using Deep Learning for price prediction by exploiting stationary limit order book features pdf

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2018, Appl. Soft Comput..

Symmetric Subspace Learning for Image Analysis

Anastasios Tefas, Ioannis Pitas, Konstantinos Papachristou, 2014, IEEE Transactions on Image Processing.

Style Decomposition for Improved Neural Style Transfer pdf

Anastasios Tefas, Nikolaos Passalis, Paraskevas Pegios, 2018, ArXiv.

All-Optical Recurrent Neural Network with Sigmoid Activation Function

Anastasios Tefas, Nikolaos Passalis, George Mourgias-Alexandris, 2020, 2020 Optical Fiber Communications Conference and Exhibition (OFC).

Big Data Clustering with Kernel k-Means: Resources, Time and Performance

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2018, Int. J. Artif. Intell. Tools.

Deep Sparse Autoencoders for Football Match and Bet Prediction

Anastasios Tefas, Konstantinos Tsampazis, 2018, SETN.

Bag of Color Features for Color Constancy

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, IEEE Transactions on Image Processing.

Gender determination using a Support Vector Machine Variant

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2008, 2008 16th European Signal Processing Conference.

Dimensionality Reduction Using Similarity-Induced Embeddings

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Human action recognition based on bag of features and multi-view neural networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Person specific activity recognition using fuzzy learning and Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2011, 2011 19th European Signal Processing Conference.

Intelligent Multimedia Analysis for Emerging Biometrics

Anastasios Tefas, Ioannis Pitas, Georgios Goudelis, 2010, Intelligent Multimedia Analysis for Security Applications.

Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, IJCCI.

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data

Alexandros Iosifidis, Anastasios Tefas, Nikolaos Passalis, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Multi-bit image watermarking robust to geometric distortions

Anastasios Tefas, Ioannis Pitas, I. Pitas, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Dynamic action classification based on iterative data selection and Feedforward Neural networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Exploiting discriminant and SVM constraints in NMF

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Face authentication by using elastic graph matching and support vector machines

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series

Alexandros Iosifidis, Anastasios Tefas, Nikolaos Passalis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-modal label propagation based on a higher order similarity matrix

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Graph Embedded Extreme Learning Machine

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, IEEE Transactions on Cybernetics.

A Photonic Recurrent Neuron for Time-Series Classification

Anastasios Tefas, Nikos Pleros, Nikolaos Passalis, 2020, Journal of Lightwave Technology.

Learning deep spatiotemporal features for video captioning

Anastasios Tefas, Maria Tzelepi, Eleftherios Daskalakis, 2018, Pattern Recognit. Lett..

Multi modal verification for teleservices and security applications (M2VTS)

Anastasios Tefas, Ioannis Pitas, Steven Pigeon, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Face Verification using Locally Linear Discriminant Models

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2007, 2007 IEEE International Conference on Image Processing.

The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, J. Inf. Hiding Multim. Signal Process..

Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Multi-view Regularized Extreme Learning Machine for Human Action Recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, SETN.

Minimum Variance Extreme Learning Machine for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stereoscopic video description for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP).

Face verification based on morphological shape decomposition

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

Deep Learning Analytics

Anastasios Tefas, Nikolaos Passalis, 2019, Machine Learning Paradigms.

An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching

Anastasios Tefas, Ioannis Pitas, Nikolaos Tsapanos, 2008, VISAPP.

Learning Human Identity Using View-Invariant Multi-view Movement Representation

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2011, BIOID.

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, IEEE Transactions on Information Forensics and Security.

Learning bag-of-embedded-words representations for textual information retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, Pattern Recognit..

Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting multiplex data relationships in Support Vector Machines

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2019, Pattern Recognit..

Deep autoencoders for attribute preserving face de-identification

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2020, Signal Process. Image Commun..

Improving the detection reliability of correlation-based watermarking techniques

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization

Anastasios Tefas, Nikolaos Passalis, 2017, EANN.

Deep Adaptive Input Normalization for Time Series Forecasting

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2018, MMM.

Entropy-Based Iterative Face Classification

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2011, BIOID.

Embedded UAV Real-Time Visual Object Detection and Tracking

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2019, 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR).

IEEE International Conference on Acoustics, Speech and Signal Processing

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2016 .

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2015, TrustCom 2015.

Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition

Anastasios Tefas, Ioannis Pitas, Nikolaos Gkalelis, 2008, IEEE Transactions on Circuits and Systems for Video Technology.

Facial expression recognition using clustering discriminant Non-negative Matrix Factorization

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2011, 2011 18th IEEE International Conference on Image Processing.

Discriminant Learning Using Training Space Partitioning

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2011 .

PySEF: A python library for similarity-based dimensionality reduction

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, Knowl. Based Syst..

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2020, Pattern Recognit..

Deep reinforcement learning for frontal view person shooting using drones

Anastasios Tefas, Nikolaos Passalis, 2018, 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Joint Lightweight Object Tracking and Detection for Unmanned Vehicles

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, Comput. Vis. Image Underst..

Computational Intelligence Approaches for Digital Media Analysis and Description

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, ECC.

Class-specific nonlinear subspace learning based on optimized class representation

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Exploiting discriminant information in elastic graph matching

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2005, IEEE International Conference on Image Processing 2005.

Exploiting subclass information in Support Vector Machines

Anastasios Tefas, Georgios Orfanidis, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Minimum Class Variance Support Vector Machines

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, IEEE Transactions on Image Processing.

Human identification from human movements

Anastasios Tefas, Ioannis Pitas, Nikolaos Gkalelis, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Image authentication and tamper proofing using mathematical morphology

Anastasios Tefas, Ioannis Pitas, I. Pitas, 2000, 2000 10th European Signal Processing Conference.

Exploiting stereoscopic disparity for augmenting human activity recognition performance

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, Multimedia Tools and Applications.

Variants of dynamic link architecture based on mathematical morphology for frontal face authentication

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Big Data Analysis for Media Production

Anastasios Tefas, Ioannis Pitas, Adrian Hilton, 2016, Proceedings of the IEEE.

Fusion of Movement Specific Human Identification Experts

Anastasios Tefas, Ioannis Pitas, Nikolaos Gkalelis, 2009, COST 2101/2102 Conference.

Random Walk Kernel Applications to Classification Using Support Vector Machines

Anastasios Tefas, Vasileios Gavriilidis, 2014, 2014 22nd International Conference on Pattern Recognition.

Discriminant Analysis Regularization in Lightweight Deep CNN Models

Anastasios Tefas, Maria Tzelepi, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Kernel subclass support vector description for face and human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2016, 2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE).

Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Femtojoule Technology Roadmap for TeraMAC Neuromorphic Photonic Accelerators

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2020, 2020 IEEE Photonics Conference (IPC).

Discriminant Bag of Words based representation for human action recognition

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, Pattern Recognit. Lett..

De-identifying facial images using singular value decomposition

Anastasios Tefas, Ioannis Pitas, Panteleimon Chriskos, 2014, MIPRO.

Recurrent Attention for Deep Neural Object Detection

Anastasios Tefas, Georgios Symeonidis, 2018, SETN.

Facial expression recognition with robust covariance estimation and Support Vector Machines

Anastasios Tefas, Ioannis Pitas, Nicholas Vretos, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Image authentication techniques for surveillance applications

Anastasios Tefas, Ioannis Pitas, Mauro Barni, 2001, Proc. IEEE.

Statistical analysis of Markov chaotic sequences for watermarking applications

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Re-identification framework for long term visual object tracking based on object detection and classification

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2020, Signal Process. Image Commun..

Learning Deep Representations with Probabilistic Knowledge Transfer

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, ECCV.

Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations

Anastasios Tefas, Nikolaos Passalis, Nikos Pleros, 2020, International Symposium on Circuits and Systems.

Femtojoule per MAC Neuromorphic Photonics: An Energy and Technology Roadmap

Anastasios Tefas, Nikos Pleros, Nikolaos Passalis, 2020, IEEE Journal of Selected Topics in Quantum Electronics.

Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, IEEE Transactions on Human-Machine Systems.

GREEDY SALIENT DICTIONARY LEARNING WITH OPTIMAL POINT RECONSTRUCTION FOR ACTIVITY VIDEO SUMMARIZATION

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Class-Based Variational Representation Learning For Robust Image Retrieval

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Nutrition Assistance Based on Skin Color Segmentation and Support Vector Machines

Anastasios Tefas, Ioannis Pitas, Ermioni Marami, 2011, ICMMI.

Stereoscopic video shot clustering into semantic concepts based on visual and disparity information

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

View-Invariant Action Recognition Based on Artificial Neural Networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Deep Hashing Regularization Towards Hamming Space Retrieval

Anastasios Tefas, Maria Tzelepi, Christos Nasioutzikis, 2020, SETN.

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Direct Multi-label Linear Discriminant Analysis

Anastasios Tefas, Maria Oikonomou, A. Tefas, 2013, EANN.

Dense convolutional feature histograms for robust visual object tracking

Anastasios Tefas, Ioannis Pitas, Paraskevi Nousi, 2020, Image Vis. Comput..

Learning Neural Bag-of-Features for Large-Scale Image Retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Autonomous UAV Cinematography

Anastasios Tefas, Ioannis Pitas, Nikolaos Nikolaidis, 2019, ACM Computing Surveys.

2014 IEEE International Conference on Image Processing (ICIP 2014)

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015 .

IMPART: Big media data processing and analysis for film production

Anastasios Tefas, Ioannis Pitas, Adrian Hilton, 2015, 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

Sparse human movement representation and recognition

Anastasios Tefas, Ioannis Pitas, Nikolaos Gkalelis, 2008, 2008 IEEE 10th Workshop on Multimedia Signal Processing.

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits

Anastasios Tefas, Moncef Gabbouj, Jenni Raitoharju, 2020, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).

Face verification using elastic graph matching based on morphological signal decomposition

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2002, Signal Process..

Person identification from actions based on dynemes and discriminant learning

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 2013 International Workshop on Biometrics and Forensics (IWBF).

Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography

Anastasios Tefas, Ioannis Pitas, Nikolaos Passalis, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

K-Anonymity inspired adversarial attack and multiple one-class classification defense

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2020, Neural Networks.

Signal Processing: Image Communication

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2018 .

Salient feature and reliable classifier selection for facial expression classification

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2010, Pattern Recognit..

2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014)

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015 .

Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]

Anastasios Tefas, Ioannis Pitas, Alberto Messina, 2019, IEEE Signal Processing Magazine.

Activity Recognition for Traditional Dances Using Dimensionality Reduction

Anastasios Tefas, Vasileios Gavriilidis, 2014, SETN.

Face authentication based on morphological shape decomposition

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1997 .

Time-series classification using neural Bag-of-Features

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Big Media Data Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2017, Signal Process. Image Commun..

Shape matching using a binary search tree structure of weak classifiers

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2012, Pattern Recognit..

Approximate kernel extreme learning machine for large scale data classification

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2017, Neurocomputing.

Methods for improving discriminant analysis for face authentication

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Sparse extreme learning machine classifier exploiting intrinsic graphs

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, Pattern Recognit. Lett..

Deep Learning for Visual Content Analysis

Alexandros Iosifidis, Anastasios Tefas, 2020, Signal Process. Image Commun..

Spectral Clustering using Optimized Bag-of-Features

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2016, SETN.

Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization

Anastasios Tefas, Nikolaos Arvanitopoulos, Dimitrios Bouzas, 2011, ICANN.

Kernel matrix trimming for improved Kernel K-means clustering

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Learning Discriminant Person-Specific Facial Models Using Expandable Graphs

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2007, IEEE Transactions on Information Forensics and Security.

A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data

Anastasios Tefas, Danai Triantafyllidou, A. Tefas, 2016, INNS Conference on Big Data.

Representative Class Vector Clustering-Based Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Folk dance recognition using a bag of words approach and ISA/STIP features

Anastasios Tefas, Nikos Nikolaidis, Ioannis Kapsouras, 2013, BCI '13.

Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2013, 2013 IEEE International Conference on Image Processing.

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits

Anastasios Tefas, Moncef Gabbouj, Jenni Raitoharju, 2020, Pattern Recognit..

Summarization of human activity videos via low-rank approximation

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Applications of chaotic signal processing techniques to multimedia watermarking

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2000 .

Probabilistic Knowledge Transfer for Deep Representation Learning pdf

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, ArXiv.

Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2016, IEEE Transactions on Knowledge and Data Engineering.

Greedy Salient Dictionary Learning for Activity Video Summarization

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2018, MMM.

Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets

Anastasios Tefas, Ioannis Pitas, Anastasios Maronidis, 2011, Neural Networks.

Neural Network Knowledge Transfer using Unsupervised Similarity Matching

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Visual Question Answering using Explicit Visual Attention

Anastasios Tefas, Nikolaos Passalis, Vasileios Lioutas, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Linear discriminant feature selection techniques in elastic graph matching

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2005, 2005 13th European Signal Processing Conference.

Efficient MapReduce Kernel k-Means for Big Data Clustering

Anastasios Tefas, Ioannis Pitas, Nikolaos Tsapanos, 2016, SETN.

Compensating for variable recording conditions in frontal face authentication algorithms

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval

Anastasios Tefas, Maria Tzelepi, Nikolaos Kondylidis, 2018, Multimedia Tools and Applications.

Frontal face authentication using variants of dynamic link matching based on mathematical morphology

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification

Anastasios Tefas, Ioannis Pitas, Marios Kyperountas, 2007, IEEE Transactions on Neural Networks.

Intelligent Data analysis and its Applications, Volume I

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2014, International Symposium on Intelligent Data Analysis.

Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting

Anastasios Tefas, Nikolaos Passalis, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Multi-view Human Action Recognition: A Survey

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, 2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2006, IEEE Transactions on Neural Networks.

Computational UAV Cinematography for Intelligent A/V Shooting Based on Semantic Visual Analysis

Anastasios Tefas, Ioannis Pitas, Ioannis Mademlis, 2018, MMSports'18.

Semi-supervised Classification of Human Actions Based on Neural Networks

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2014, 2014 22nd International Conference on Pattern Recognition.

Robust multibit audio watermarking in the temporal domain

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

3D image watermarking robust to geometric distortions

Anastasios Tefas, Ioannis Pitas, Giorgos Louizis, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations

Anastasios Tefas, Nikolaos Passalis, George Mourgias-Alexandris, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

On the Optimal Class Representation in Linear Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Morphological elastic graph matching applied to frontal face authentication under optimal and real conditions

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Anastasios Tefas, Nikolaos Passalis, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Movie shot selection preserving narrative properties

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2016, 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP).

Object tracking based on local steering kernels for drinking activity recognition

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2011, Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces.

Using Particle Swarm Optimization for scaling and rotation invariant face detection

Anastasios Tefas, Ermioni Marami, 2010, IEEE Congress on Evolutionary Computation.

Exploiting local and global geometric data relationships in Support Vector Data Description

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Maximum Margin Discriminant Projections for facial expression recognition

Anastasios Tefas, Ioannis Pitas, Symeon Nikitidis, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

9.5 – Watermarking Techniques for Image Authentication and Copyright Protection

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2005 .

Compact Video Description and Representation for Automated Summarization of Human Activities

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2016, INNS Conference on Big Data.

Subclass Marginal Fisher Analysis

Anastasios Tefas, Ioannis Pitas, Anastasios Maronidis, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction

Anastasios Tefas, Dimitris Spathis, Nikolaos Passalis, 2018, ECCV Workshops.

Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions

Anastasios Tefas, Ioannis Pitas, Constantine Kotropoulos, 2000, Pattern Recognit..

Robust spatial image watermarking using progressive detection

Anastasios Tefas, Ioannis Pitas, I. Pitas, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

On the kernel Extreme Learning Machine classifier

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, Pattern Recognit. Lett..

Comparison of face verification results on the XM2VTFS database

Hong Yan, Anastasios Tefas, Ioannis Pitas, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Learning Multi-Graph Regularization for SVM Classification

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition

Anastasios Tefas, Nikolaos Passalis, 2020, 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP).

Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval

Anastasios Tefas, Maria Tzelepi, 2016, SETN.

Positive and Negative Label Propagations

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Regularized Extreme Learning Machine for Large-scale Media Content Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, INNS Conference on Big Data.

Image authentication using chaotic mixing systems

Anastasios Tefas, Ioannis Pitas, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Visual object tracking via Gabor-based salient features extraction

Anastasios Tefas, Ioannis Pitas, Olga Zoidi, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Variance-preserving deep metric learning for content-based image retrieval

Alexandros Iosifidis, Anastasios Tefas, Moncef Gabbouj, 2020, Pattern Recognit. Lett..

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2013, IEEE Transactions on Knowledge and Data Engineering.

Subspace Learning with Enriched Databases Using Symmetry

Anastasios Tefas, Ioannis Pitas, Konstantinos Papachristou, 2014, ECC.

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media

Alexandros Iosifidis, Anastasios Tefas, Nikolaos Passalis, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Graph Embedding Exploiting Subclasses

Anastasios Tefas, Ioannis Pitas, Anastasios Maronidis, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Enhancing class discrimination in Kernel Discriminant Analysis

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval

Anastasios Tefas, Maria Tzelepi, A. Tefas, 2018, 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Using robust dispersion estimation in support vector machines

Anastasios Tefas, Ioannis Pitas, Nicholas Vretos, 2013, Pattern Recognit..

Semantic Scene Segmentation for Robotics Applications

Anastasios Tefas, Maria Tzelepi, 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization

Alexandros Iosifidis, Anastasios Tefas, Nikolaos Passalis, 2021, Journal of Signal Processing Systems.

Efficient Online Subclass Knowledge Distillation for Image Classification

Anastasios Tefas, Nikolaos Passalis, Maria Tzelepi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval

Anastasios Tefas, Nikolaos Passalis, A. Tefas, 2021, Signal Process. Image Commun..

Improving knowledge distillation using unified ensembles of specialized teachers

Anastasios Tefas, Nikolaos Passalis, Adamantios Zaras, 2021, Pattern Recognit. Lett..

Improving Visual Question Answering using Active Perception on Static Images

Anastasios Tefas, Nikolaos Passalis, Theodoros Bozinis, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate

Anastasios Tefas, Nikos Pleros, George Mourgias-Alexandris, 2021, 2021 Optical Fiber Communications Conference and Exhibition (OFC).

Deep adaptive group-based input normalization for financial trading

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2021, Pattern Recognition Letters.

Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2021, AIAI.

A modified Single-Shot multibox Detector for beyond Real-Time Object Detection

Yiannis Kompatsiaris, Anastasios Tefas, Stefanos Vrochidis, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling pdf

Anastasios Tefas, Nikolaos Passalis, Paraskevi Nousi, 2021, Neurocomputing.

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits

Anastasios Tefas, Nikos Pleros, George Mourgias-Alexandris, 2021, 2021 European Conference on Optical Communication (ECOC).

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example

Anastasios Tefas, Ioannis Pitas, Nikos Nikolaidis, 2021, ACM Comput. Surv..

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits

Anastasios Tefas, Nikolaos Passalis, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells

Anastasios Tefas, Nikos Pleros, George Mourgias-Alexandris, 2021, 2021 European Conference on Optical Communication (ECOC).

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning

Anastasios Tefas, Nikolaos Passalis, Avraam Tsantekidis, 2021, Neural Networks.

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement

Anastasios Tefas, Nikolaos Passalis, 2021, ICIP 2021.

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval

Anastasios Tefas, Nikolaos Passalis, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems

Anastasios Tefas, Ioannis Pitas, Vasileios Mygdalis, 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

Online Subclass Knowledge Distillation

Anastasios Tefas, Nikolaos Passalis, Maria Tzelepi, 2021, Expert Syst. Appl..

Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization

Anastasios Tefas, Nikolaos Passalis, Paraskevi Nousi, 2021, EANN.

Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation pdf

Anastasios Tefas, Maria Tzelepi, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

ON EMERGING BIOMETRIC TECHNOLOGIES

Anastasios Tefas, Ioannis Pitas, Georgios Goudelis, 2005 .

Elastic graph matching versus linear subspace methods for frontal face verification

Anastasios Tefas, Ioannis Pitas, Stefanos Zafeiriou, 2005 .

Markov chaotic sequences for correlation based watermarking schemes

Anastasios Tefas, Ioannis Pitas, Athanasios Nikolaidis, 2003 .