Alexandros Iosifidis

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Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer pdf

Alexandros Iosifidis, Finland, Jenni Raitoharju, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Heterogeneous Multilayer Generalized Operational Perceptron

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Tensor representation in high-frequency financial data for price change prediction

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Data Normalization for Bilinear Structures in High-Frequency Financial Time-series pdf

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Heterogeneous Multilayer Generalized Operational Perceptron

M. Gabbouj, S. Kiranyaz, Alexandros Iosifidis, 2018, IEEE Transactions on Neural Networks and Learning Systems.

ANTON MURAVEV EFFICIENT VECTOR QUANTIZATION FOR FAST APPROXIMATE NEAREST NEIGHBOR SEARCH

Alexandros Iosifidis, 2016 .

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).

Generalized Reference Kernel for One-class Classification

Alexandros Iosifidis, Jenni Raitoharju, 2022, 2205.00534.

Human Action Recognition based on Multiview Regularized Extreme Learning Machine

I. Pitas, Alexandros Iosifidis, A. Tefas, 2015 .

Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2018, Quantitative Finance.

Generalized Reference Kernel for One-class Classification

Alexandros Iosifidis, Jenni Raitoharju, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review

Alexandros Iosifidis, Rasmus Jensen, 2022, ArXiv.

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images

Alexandros Iosifidis, A. Tefas, N. Passalis, 2022, ArXiv.

Signal Processing: Image Communication

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2018 .

Automatic image‐based identification and biomass estimation of invertebrates pdf

Alexandros Iosifidis, Jenni Raitoharju, Ville Tirronen, 2020, Methods in Ecology and Evolution.

Constructing Neural Network Based Models for Simulating Dynamical Systems

Christian Møldrup Legaard, Alexandros Iosifidis, P. Larsen, 2021, ACM Comput. Surv..

Multimodal Subspace Support Vector Data Description

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2019, Pattern Recognit..

Graph-Embedded Subspace Support Vector Data Description

M. Gabbouj, Jenni Raitoharju, Alexandros Iosifidis, 2021, Pattern Recognit..

Recent advances in salient object detection : towards object recognition in Big Media Data

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2016 .

Efficient CNN with uncorrelated Bag of Features pooling

M. Gabbouj, Alexandros Iosifidis, Jenni Raitoharju, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI).

EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions

Ravi Teja Bhupatiraju, Jenni Raitoharju, M. Gabbouj, 2022, ArXiv.

Weighted Edit Distance for Country Code Recognition in License Plates

M. Gabbouj, Alexandros Iosifidis, K. Chumachenko, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Recognition of Defective Mineral Wool Using Pruned ResNet Models

Alexandros Iosifidis, D. Tran, M. Rafiei, 2022, 2023 IEEE 21st International Conference on Industrial Informatics (INDIN).

MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

Theofanis P. Raptis, M. Marazakis, Björn Schuller, 2021, 2021 International Balkan Conference on Communications and Networking (BalkanCom).

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

Alexandros Iosifidis, Negar Heidari, 2022, 2210.09381.

Automatic Flower Detection and Classification System Using a Light-Weight Convolutional Neural Network

M. Gabbouj, Jenni Raitoharju, Alexandros Iosifidis, 2019 .

Exploiting heterogeneity in operational neural networks by synaptic plasticity

Habib Ben Abdallah, S. Kiranyaz, T. Ince, 2021, Neural computing & applications (Print).

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

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015 .

2015 IEEE Trustcom/BigDataSE/ISPA

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

WLD-Reg: A Data-dependent Within-layer Diversity Regularizer

M. Gabbouj, Alexandros Iosifidis, Jenni Raitoharju, 2023, AAAI.

Generalized model of biological neural networks: Progressive operational perceptrons

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Progressive Operational Perceptrons

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2017, Neurocomputing.

Saliency-based Weighted Multi-label Linear Discriminant Analysis pdf

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2020, ArXiv.

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).

Probabilistic Class-Specific Discriminant Analysis

Alexandros Iosifidis, Alexandros Iosifidis, 2018, IEEE Access.

Null Space Analysis for Class-Specific Discriminant Learning pdf

Alexandros Iosifidis, Jenni Raitoharju, Jenni Raitoharju, 2019, ArXiv.

Sample-based regularization for support vector machine classification

Alexandros Iosifidis, Moncef Gabbouj, Muhammad-Adeel Waris, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Approximate kernel extreme learning machine for large scale data classification

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

Hierarchical class-specific kernel discriminant analysis for face verification

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, 2016 Visual Communications and Image Processing (VCIP).

Maximum margin binary classifiers using intrinsic and penalty graphs

Alexandros Iosifidis, Moncef Gabbouj, Berkay Kicanaoglu, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, Pattern Recognit..

Graph Embedded Extreme Learning Machine

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

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.

Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces

Alexandros Iosifidis, Moncef Gabbouj, Petri Pekki, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Distance-based human action recognition using optimized class representations

I. Pitas, Alexandros Iosifidis, A. Tefas, 2015, Neurocomputing.

Nearest Class Vector Classification for Large-Scale Learning Problems

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

A Bayesian approach for extreme learning machine-based subspace learning

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Computational Intelligence Approaches for Digital Media Analysis and Description

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

Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Graph-regularized multi-class support vector machines for face and action recognition

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval

Alexandros Iosifidis, Moncef Gabbouj, Ke Chen, 2016, IEEE Transactions on Cybernetics.

Robust Fast Subclass Discriminant Analysis

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

Speed-up and multi-view extensions to Subclass Discriminant Analysis

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2019, Pattern Recognit..

Incremental Fast Subclass Discriminant Analysis

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Exploiting stereoscopic disparity for augmenting human activity recognition performance

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

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

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

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..

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).

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

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

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.

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.

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

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

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).

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).

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

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

View-Invariant Action Recognition Based on Artificial Neural Networks

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

Person specific activity recognition using fuzzy learning and Discriminant Analysis

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

Movement recognition exploiting multi-view information

Alexandros Iosifidis, Ioannis Pitas, Nikos Nikolaidis, 2010, 2010 IEEE International Workshop on Multimedia Signal Processing.

Probabilistic saliency estimation pdf

Alexandros Iosifidis, Moncef Gabbouj, Çaglar Aytekin, 2016, Pattern Recognit..

Salient object segmentation based on linearly combined affinity graphs

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification

Aruna Tiwari, Chandan Gautam, M. Tanveer, 2019, Cogn. Comput..

Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification) pdf

Alexandros Iosifidis, Aruna Tiwari, Chandan Gautam, 2019, ArXiv.

Multi-layer Kernel Ridge Regression for One-class Classification

Alexandros Iosifidis, Aruna Tiwari, Chandan Gautam, 2018, ArXiv.

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.

Fighting Money Laundering With Statistics and Machine Learning

Alexandros Iosifidis, Rasmus Jensen, R. Jensen, 2022, IEEE Access.

How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective

Alexandros Iosifidis, J. Kanniainen, Dat Thanh Tran, 2022, SSRN Electronic Journal.

PyGOP: A Python library for Generalized Operational Perceptron algorithms

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2019, Knowl. Based Syst..

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer

Moncef Gabbouj Department of Computing Sciences, Programme for Environmental Information, Finnish Environment Institute, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Species‐level image classification with convolutional neural network enables insect identification from habitus images

Alexandros Iosifidis, Steen Dupont, Benjamin W. Price, 2019, Ecology and evolution.

Not all domains are equally complex: Adaptive Multi-Domain Learning pdf

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

INTEL-TAU: A Color Constancy Dataset pdf

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2019, IEEE Access.

Exploiting heterogeneity in operational neural networks by synaptic plasticity

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2020, Neural Comput. Appl..

Self-Organized Operational Neural Networks with Generative Neurons pdf

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2020, Neural Networks.

Operational neural networks

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2019, Neural Computing and Applications.

Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons

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

Progressive Operational Perceptron with Memory pdf

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2018, ArXiv.

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).

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).

Deep learning and computer vision will transform entomology

Alexandros Iosifidis, Jenni Raitoharju, Johanna Ärje, 2020, Proceedings of the National Academy of Sciences.

ECINN: Efficient Counterfactuals from Invertible Neural Networks pdf

Alexandros Iosifidis, Ira Assent, Frederik Hvilshoj, 2021, BMVC.

Within-layer Diversity Reduces Generalization Gap pdf

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2021, ArXiv.

On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition pdf

Alexandros Iosifidis, Negar Heidari, Alexandros Iosifidis, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

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

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

Graph Embedded One-Class Classifiers for media data classification

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

Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation pdf

Alexandros Iosifidis, Negar Heidari, Alexandros Iosifidis, 2021, 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP).

On the kernel Extreme Learning Machine classifier

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

Benchmark dataset for midprice forecasting of limit order book data with machine learning methods

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2018 .

Benchmark database for fine-grained image classification of benthic macroinvertebrates

Alexandros Iosifidis, Moncef Gabbouj, Iftikhar Ahmad, 2018, Image Vis. Comput..

Deep Adaptive Input Normalization for Time Series Forecasting

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

Semi-supervised Classification of Human Actions Based on Neural Networks

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

Visual Voice Activity Detection in the Wild

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

Big Media Data Analysis

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

Variational Voxel Pseudo Image Tracking

Alexandros Iosifidis, A. Tefas, N. Passalis, 2023, ArXiv.

Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm pdf

Alexandros Iosifidis, Jenni Raitoharju, Mert Seker, 2021, ArXiv.

Learning distinct features helps, provably

M. Gabbouj, Alexandros Iosifidis, Jenni Raitoharju, 2021, 2106.06012.

Subspace Support Vector Data Description

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Fast Kernel Matrix Computation for Big Data Clustering

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

Multi-Exit Vision Transformer for Dynamic Inference pdf

Alexandros Iosifidis, Arian Bakhtiarnia, Qi Zhang, 2021, BMVC.

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..

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

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

Dynamic action recognition based on dynemes and Extreme Learning Machine

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

Supervised Domain Adaptation using Graph Embedding

Omar Ali Sheikh-Omar, Alexandros Iosifidis, Lukas Hedegaard, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

DropELM: Fast neural network regularization with Dropout and DropConnect

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

Extreme learning machine based supervised subspace learning

Alexandros Iosifidis, Alexandros Iosifidis, 2015, Neurocomputing.

Active classification for human action recognition

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

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

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

One class classification applied in facial image analysis

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

Self-attention fusion for audiovisual emotion recognition with incomplete data

Alexandros Iosifidis, Moncef Gabbouj, Kateryna Chumachenko, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Evaluating data augmentation for financial time series classification pdf

Alexandros Iosifidis, Elizabeth Fons, Paula Dawson, 2020, ArXiv.

Multilinear Compressive Learning

Alexandros Iosifidis, Moncef Gabbouj, Aysen Degerli, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Augmenting Transferred Representations for Stock Classification

Alexandros Iosifidis, Elizabeth Fons, Paula Dawson, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Benchmark dataset for mid-price forecasting of limit order book data with machine learning methods

M. Gabbouj, Alexandros Iosifidis, M. Magris, 2017, Journal of Forecasting.

CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds

A. Iosifidis, H. Karstoft, A. H. Nielsen, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Feature Engineering for Mid-Price Prediction With Deep Learning

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2019, IEEE Access.

Benchmark Dataset for Mid-Price Prediction of Limit Order Book data

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2017, ArXiv.

Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data

M. Gabbouj, Alexandros Iosifidis, J. Kanniainen, 2018, Quantitative Finance.

Mid-price prediction based on machine learning methods with technical and quantitative indicators

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2018, PloS one.

Learning to Rank: A Progressive Neural Network Learning Approach

Alexandros Iosifidis, Dat Thanh Tran, Alexandros Iosifidis, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pyramid encoding for fast additive quantization

Alexandros Iosifidis, Moncef Gabbouj, Ezgi C. Ozan, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Pain detection using batch normalized discriminant restricted Boltzmann machine layers

Alexandros Iosifidis, Farshad Moradi, Ali Peiravi, 2021, J. Vis. Commun. Image Represent..

On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks

Alexandros Iosifidis, Moncef Gabbouj, Kaveh Samiee, 2017, Expert Syst. Appl..

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).

Sparse extreme learning machine classifier exploiting intrinsic graphs

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

IrradianceNet: Spatiotemporal deep learning model for satellite-derived solar irradiance short-term forecasting

A. H. Nielsen, Alexandros Iosifidis, H. Karstoft, 2021, Solar Energy.

Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2017, IEEE Transactions on Cybernetics.

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning

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

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).

Automatic Flower and Visitor Detection System

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Ellipsoidal Subspace Support Vector Data Description

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2020, IEEE Access.

CNN-based edge filtering for object proposals

Alexandros Iosifidis, Moncef Gabbouj, Muhammad Adeel Waris, 2017, Neurocomputing.

The effect of automated taxa identification errors on biological indices

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2017, Expert Syst. Appl..

Progressive Graph Convolutional Networks for Semi-Supervised Node Classification

Alexandros Iosifidis, Negar Heidari, Alexandros Iosifidis, 2020, IEEE Access.

3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images pdf

Alexandros Iosifidis, Sebti Foufou, Moncef Gabbouj, 2019, Comput. Geosci..

Neural class-specific regression for face verification pdf

Alexandros Iosifidis, Moncef Gabbouj, Guanqun Cao, 2017, IET Biom..

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).

Introduction

Alexandros Iosifidis, A. Tefas, 2022, Deep Learning for Robot Perception and Cognition.

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation

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

Predicting Jump Arrivals in Stock Prices Using Neural Networks with Limit Order Book Data

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2018 .

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

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

Discriminant Bag of Words based representation for human action recognition

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

Bilinear Input Normalization for Neural Networks in Financial Forecasting pdf

Alexandros Iosifidis, Moncef Gabbouj, Juho Kanniainen, 2021, ArXiv.

Remote Multilinear Compressive Learning With Adaptive Compression pdf

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2021, IEEE Internet of Things Journal.

Performance Indicator in Multilinear Compressive Learning

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Multilinear Compressive Learning with Prior Knowledge pdf

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2020, ArXiv.

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).

Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval

Alexandros Iosifidis, M. Rafiei, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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

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

Deep Multi-View Learning to Rank pdf

Vijay V. Raghavan, Alexandros Iosifidis, Moncef Gabbouj, 2018, IEEE Transactions on Knowledge and Data Engineering.

Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval

Alexandros Iosifidis, Moncef Gabbouj, Muhammad-Adeel Waris, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

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).

Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition pdf

Alexandros Iosifidis, Negar Heidari, Alexandros Iosifidis, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Tensor representation in high-frequency financial data for price change prediction

M. Gabbouj, Alexandros Iosifidis, D. Tran, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving pdf

Alexandros Iosifidis, Daniella Tola, Casper Hansen, 2021, Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems.

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

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

On the kernel Extreme Learning Machine speedup

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2015, Pattern Recognit. Lett..

Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol

Alexandros Iosifidis, Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, 2020, IEEE Transactions on Image Processing.

A Hybrid Static/Active Video Surveillance System

Alexandros Iosifidis, Antonios Gasteratos, Spyridon G. Mouroutsos, 2011 .

Real-time video surveillance by a hybrid static/active camera mechatronic system

Alexandros Iosifidis, Antonios Gasteratos, Spyridon G. Mouroutsos, 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

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).

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

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

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).

Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation pdf

Alexandros Iosifidis, Elizabeth Fons, Xiao-jun Zeng, 2021, ArXiv.

On the Optimal Class Representation in Linear Discriminant Analysis

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

Learning Distinct Features Helps, Provably

M. Gabbouj, Alexandros Iosifidis, Jenni Raitoharju, 2021, ECML/PKDD.

Human activity recognition

Alexandros Iosifidis, Lukas Hedegaard, Negar Heidari, 2022, Deep Learning for Robot Perception and Cognition.

Nyström-based approximate kernel subspace learning

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, Pattern Recognit..

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization

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

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

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

On Feature Diversity in Energy-based Models

M. Gabbouj, Alexandros Iosifidis, Jenni Raitoharju, 2023, ArXiv.

Monte Carlo Dropout Ensembles for Robust Illumination Estimation pdf

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Color Constancy Convolutional Autoencoder

Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

A Human Activity Recognition Framework for Healthcare Applications: Ontology, Labelling Strategies, and Best Practice

Ian Craddock, Przemyslaw Woznowski, William Harwin, 2016, IoTBD.

Knowledge Distillation By Sparse Representation Matching pdf

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2021, ArXiv.

Machine Learning Based Analysis of Finnish World War II Photographers

Alexandros Iosifidis, Jenni Raitoharju, Kateryna Chumachenko, 2019, IEEE Access.

Recurrent bag-of-features for visual information analysis

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

Class mean vector component and discriminant analysis

Alexandros Iosifidis, Alexandros Iosifidis, 2020, Pattern Recognit. Lett..

Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning pdf

Alexandros Iosifidis, Alexandros Iosifidis, 2018, ArXiv.

Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, IEEE Transactions on Information Forensics and Security.

The effect of automated taxa identification errors on biological indices

M. Gabbouj, S. Kiranyaz, T. Ince, 2017, Expert Syst. Appl..

Bag of Color Features for Color Constancy

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

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).

Improving Efficiency in Convolutional Neural Network with Multilinear Filters

M. Gabbouj, Alexandros Iosifidis, D. Tran, 2017, Neural Networks.

Multilinear class-specific discriminant analysis

Alexandros Iosifidis, Moncef Gabbouj, Dat Thanh Tran, 2017, Pattern Recognit. Lett..

Graph Embedding with Data Uncertainty

M. Gabbouj, Jenni Raitoharju, Alexandros Iosifidis, 2020, IEEE Access.

On the Optimal Class Representation in Linear Discriminant Analysis

I. Pitas, Alexandros Iosifidis, A. Tefas, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Supervised Domain Adaptation: Were we doing Graph Embedding all along? pdf

Alexandros Iosifidis, Omar Ali Sheikh-Omar, Lukas Hedegaard, 2020, ArXiv.

Weighted Linear Discriminant Analysis Based on Class Saliency Information

Alexandros Iosifidis, Moncef Gabbouj, Lei Xu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition

Alexandros Iosifidis, Moncef Gabbouj, Guanqun Cao, 2017, IEEE Signal Processing Letters.

Class-specific kernel discriminant analysis based on Cholesky decomposition

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Prototype-based class-specific nonlinear subspace learning for large-scale face verification

Alexandros Iosifidis, Moncef Gabbouj, M. Gabbouj, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Class-specific nonlinear subspace learning based on optimized class representation

Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, 2015, 2015 23rd 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).

Kernel Reference Discriminant Analysis

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

Learning graph affinities for spectral graph-based salient object detection

Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, 2017, Pattern Recognit..

AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset pdf

Alexandros Iosifidis, Daniella Tola, Casper Hansen, 2021, ArXiv.

Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting

Alexandros Iosifidis, Mostafa Shabani, Alexandros Iosifidis, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Fighting Money Laundering With Statistics and Machine Learning

Alexandros Iosifidis, R. Jensen, 2022, IEEE Access.

MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

Theofanis P. Raptis, M. Marazakis, Björn Schuller, 2021, 2021 International Balkan Conference on Communications and Networking (BalkanCom).

Multi-layer Kernel Ridge Regression for One-class Classification

Alexandros Iosifidis, C. Gautam, Aruna Tiwari, 2018, ArXiv.

Computer Vision and Pattern Recognition Techniques for Human-Computer Interaction

Alexandros Iosifidis, Alexandros Iosifidis, 2013 .