S. Kollias

发表

Improved detection of breast cancer nuclei using modular neural networks.

F. Schnorrenberg, C. Pattichis, N. Tsapatsoulis, 2000, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Dense saliency-based spatiotemporal feature points for action recognition

S. Kollias, K. Rapantzikos, Yannis Avrithis, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

On emotion recognition of faces and of speech using neural networks, fuzzy logic and the ASSESS system

Stefanos D. Kollias, Bruno Apolloni, Roddy Cowie, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Comparing Template-based , Feature-based and Supervised Classification of Facial Expressions from Static Images

N. Tsapatsoulis, S. Kollias, J. Taylor, 1999 .

A String Metric for Ontology Alignment

Stefanos D. Kollias, Giorgos Stoilos, Giorgos B. Stamou, 2005, SEMWEB.

Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition

Loïc Kessous, Kostas Karpouzis, Stefanos D. Kollias, 2007, Artifical Intelligence for Human Computing.

Synthesizing Gesture Expressivity Based on Real Sequences

S. Kollias, K. Karpouzis, G. Caridakis, 2006 .

Emotion recognition through facial expression analysis based on a neurofuzzy network

Kostas Karpouzis, Stefanos D. Kollias, Theofilos P. Mailis, 2005, Neural Networks.

Soft Attribute Selection for Hierarchical Clustering in High Dimensions

S. Kollias, M. Wallace, 2003 .

Description of potential exemplars : Signals and Signs of Emotion

S. Kollias, D. Grandjean, Jonghwa Kim, 2004 .

An adaptive least squares algorithm for the efficient training of artificial neural networks

Stefanos Kollias, Dimitris Anastassiou, S. Kollias, 1989 .

ONTOLOGY FOR MULTIMEDIA REASONING

S. Kollias, Yannis Avrithis, G. Stamou, 2005 .

A Fuzzy Multiple Feature Vector Formulation Scheme Towards Optimal Key Frame Extraction of Stereoscopic Video Sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2022 .

Model Generation based on D Views of Human Faces Application to Face Recognition

N. Tsapatsoulis, S. Kollias, K. Karpouzis, 2004 .

An Intelligent Multimedia System for E cient Image Browsing and Retrieval

S. Kollias, K. Karpouzis, G. Votsis, 1999 .

A Semantic Region Growing Approach in Image Segmentation and Annotation

S. Kollias, Yannis Avrithis, T. Athanasiadis, 1996 .

Multiresolution Invariant Image Recognition

S. Kollias, A. Delopoulos, 2002 .

An adaptive estimation method using instrumental variables and deconvolution

S. Kollias, C. Halkias, 1988 .

An on line identification method using instrumental variables and deconvolution

S. Kollias, C. Halkias, 1984, The 23rd IEEE Conference on Decision and Control.

Robust validation of Visual Focus of Attention using adaptive fusion of head and eye gaze patterns

S. Kollias, K. Karpouzis, S. Asteriadis, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Spatiotemporal saliency for video classification

Yannis Avrithis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2009, Signal Process. Image Commun..

AN INTRODUCTION TO EMOTIONALLY RICH MAN-MACHINE INTELLIGENT SYSTEMS

S. Kollias, R. Cowie, K. Karpouzis, 2003 .

Emotionally-rich Man-machine Interaction Based on Gesture Analysis

S. Kollias, K. Karpouzis, S. Ioannou, 2022 .

Adaptive Three Dimensional Laser Scanning and Object Reconstruction

S. Kollias, T. Lilas, 2022 .

Optimal wavelet filter banks for regularized restoration of noisy images

Stefanos Kollias, Ioannis M. Stephanakis, S. Kollias, 2000 .

Generalized-cross-validation estimation of the regularization parameters of the subbands in wavelet domain regularized image restoration

S. Kollias, S. Kollias, I. Stephanakis, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

An Instrumental Variable Approach to Minimum-Variance Seismic Deconvolution

Stefanos Kollias, S. Kollias, C. Halkias, 1985, IEEE Transactions on Geoscience and Remote Sensing.

Arma Identification Methods In The Deconvolution Of Seismic Signals

S. Kollias, D. Manolakis, C. Halkias, 1985 .

TWO ALGORITHMS FOR FAST INCREMENTAL TRANSITIVE CLOSURE OF SPARSE FUZZY BINARY RELATIONS

S. Kollias, M. Wallace, Stefanos D. Kollias, 2007 .

AN OPTIMAL FRAMEWORK FOR SUMMARIZATION OF STEREOSCOPIC VIDEO SEQUENCES

S. Kollias, Yannis Avrithis, A. Doulamis, 1999 .

A fast adaptive approach to the restoration of images degraded by noise

Stefanos Kollias, George Carayannis, Y. Boutalis, 1990 .

A Robust Scheme for Facial Analysis and Expression Recognition

S. Kollias, K. Karpouzis, M. Wallace, 2005 .

C V ] 1 A ug 2 01 6 Incremental Noising and its Fractal Behavior

Konstantinos A. Raftopoulos, S. Kollias, Marin Ferecatu, 2018 .

C V ] 2 A ug 2 01 6 Global Vertices and the Noising Paradox

Konstantinos A. Raftopoulos, S. Kollias, Marin Ferecatu, 2018 .

Protection of Real and Artwork Human Objects based on a Chaotic Moments Modulation Method

S. Kollias, K. Ntalianis, P. Tzouveli, 2010 .

ADAPTATION OF EXPRESSION ANALYSIS BASED ON EVALUATION PRINCIPLES

S. Kollias, K. Karpouzis, A. Raouzaiou, 2005 .

D 4 f : Mid-term report on signal to emotion exemplar progress

C. Pelachaud, S. Kollias, L. Devillers, 2006 .

INDEXING AND RETRIEVAL OF THE MOST CHARACTERISTIC FRAMES / SCENES IN VIDEO DATABASES

S. Kollias, Yannis Avrithis, A. Doulamis, 1997 .

A HYBRID INTELLIGENCE SYSTEM FOR FACIAL EXPRESSION RECOGNITION

Stefanos Kollias, Nicolas Tsapatsoulis, Amaryllis Raouzaiou, 2002 .

Attention-driven artificial agents

John G. Taylor, N. Tsapatsoulis, S. Kollias, 2003 .

Low Bit Rate Coding of Image Sequences using Regions of Interest and Neural Networks

Stefanos Kollias, Anastasios Doulamis, Nikolaos Doulamis, 1996 .

SPERO - A Personalized Integrated E-Learning System

Stefanos D. Kollias, Phivos Mylonas, Paraskevi K. Tzouveli, 2004, ICWI.

Overview of the CORTEX project

Mathieu Hursin, Paolo Vinai, Stefanos Kollias, 2018 .

Two-dimensional filter bank design for optimal reconstruction using limited subband information

Stefanos D. Kollias, Anastasios Delopoulos, Andreas Tirakis, 1995, IEEE Trans. Image Process..

Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments pdf

Stefanos Kollias, Simon Pearson, Georgios Leontidis, 2019, Acta Horticulturae.

Robust, Generalized, Quick and Efficient Agglomerative Clustering

Stefanos D. Kollias, Manolis Wallace, S. Kollias, 2004, ICEIS.

Unsupervised Tracking of Stereoscopic Video Objects Employing Neural Networks Retraining

Kostas Karpouzis, Stefanos D. Kollias, Nikolaos D. Doulamis, 2022 .

AN ARCHITECTURE FOR MULTIMEDIA ANALYSIS AND RETRIEVAL BASED ON FUZZY DESCRIPTION LOGICS

S. Kollias, N. Simou, 2008 .

Preliminary plans for exemplars : Signals and signs Workpackage

S. Kollias, L. Devillers, D. Grandjean, 2004 .

Achieving Interoperability in the MichaelPlus Project

P. G. Sola, S. Kollias, V. Tzouvaras, 2007 .

Facial Animation and Affective Human-Computer Interaction

S. Kollias, K. Karpouzis, 2006, Encyclopedia of Multimedia.

" Moving " Avatars : Emotion Synthesis in Virtual Worlds

S. Kollias, K. Karpouzis, A. Raouzaiou, 2003 .

Emotionally-rich Virtual Environment

S. Kollias, K. Karpouzis, A. Raouzaiou, 2003 .

Classification of Facial Expressions from Static Images

N. Tsapatsoulis, S. Kollias, J. Taylor, 2022 .

Analysis of Learners ’ State in an Integrated E-learning System

S. Kollias, K. Karpouzis, G. Caridakis, 2009 .

Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Erkki Oja, Andreas Stafylopatis, Stefanos Kollias, 2006 .

Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Erkki Oja, Andreas Stafylopatis, Stefanos D. Kollias, 2006 .

Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I (Lecture Notes in Computer Science)

Erkki Oja, Stefanos Kollias, Włodzisław Duch, 2006 .

Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I

Erkki Oja, Andreas Stafylopatis, Stefanos Kollias, 2006, ICANN.

Machine learning for analysis of real nuclear plant data in the frequency domain Annals of Nuclear Energy

S. Kollias, C. Demazière, P. Vinai, 2022 .

Machine learning for analysis of real nuclear plant data in the frequency domain

S. Kollias, C. Demazière, P. Vinai, 2022, Annals of Nuclear Energy.

D6c Description of potential exemplars: Interaction

Christer Gobl, Kostas Karpouzis, Brigitte Krenn, 2004 .

E-Questionnaire for InnovativeAdaptive-Learning Scheme

S. Kollias, T. Paraskevi, 2016 .

Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning

S. Kollias, P. Tzouveli, Admitos-Rafael Passadakis, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

S. Kollias, A. Stafylopatis, A. Durrant, 2022, Annals of Nuclear Energy.

Detection of Composite Geometric Structures through Possibilistic

S. Kollias, 2003 .

Multimedia Content and the Semantic Web: Standards, Methods and Tools

Stefanos Kollias, Giorgos Stamou, S. Kollias, 2005 .

Editorial

Petros Maragos, Kiyoharu Aizawa, Stefanos D. Kollias, 2004, EURASIP J. Adv. Signal Process..

DeMoCap: Low-Cost Marker-Based Motion Capture

Petros Daras, Stefanos D. Kollias, Dimitrios Zarpalas, 2021, International Journal of Computer Vision.

International Conference on Artificial Neural Networks (ICANN 2006)

Włodzisław Duch, Andreas Stafylopatis, Stefanos Kollias, 2008, Neurocomputing.

A modular approach to facial feature segmentation on real sequences

George N. Votsis, Stefanos D. Kollias, Athanasios I. Drosopoulos, 2003, Signal Process. Image Commun..

Facial Image Indexing in Multimedia Databases

Yannis Avrithis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2001, Pattern Analysis & Applications.

Broadcast news parsing using visual cues: a robust face detection approach

Yannis Avrithis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Face detection in color images and video sequences

Stefanos Kollias, Nicolas Tsapatsoulis, N. Tsapatsoulis, 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

Efficient face detection for multimedia applications

Yannis Avrithis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

A Simplified Representation of 3D Human Faces adapted from 2D Images

George N. Votsis, Stefanos Kollias, Kostas Karpouzis, 1998, NMBIA.

Multimodal Emotion Recognition from Low-Level Cues

Kostas Karpouzis, Maja Pantic, Stefanos Kollias, 2011 .

User and context adaptive neural networks for emotion recognition

Kostas Karpouzis, Stefanos D. Kollias, George Caridakis, 2008, Neurocomputing.

The Global-Local transformation for noise resistant shape representation

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Konstantinos Raftopoulos, 2011, Comput. Vis. Image Underst..

The Global-Local Transformation for Invariant Shape Representation

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Konstantinos Raftopoulos, 2007, ISVC.

An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization

Stefanos D. Kollias, Klimis S. Ntalianis, S. Kollias, 2005, 2005 IEEE International Conference on Multimedia and Expo.

A synergetic neural network-genetic scheme for optimal transformer construction

Stefanos D. Kollias, Nikos D. Hatziargyriou, Nikolaos D. Doulamis, 2002, Integr. Comput. Aided Eng..

A neural network approach to interactive content-based retrieval of video databases

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Relevance feedback for content-based retrieval in video databases: a neural network approach

Stefanos Kollias, Anastasios Doulamis, Nikolaos Doulamis, 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).

A stochastic framework for optimal key frame extraction from MPEG video databases

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 1999, 1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451).

Optimising remedial outcomes for gas turbines through large scale data analysis

Stefanos Kollias, Jason McGinty, Georgios Leontidis, 2018, Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability.

Effective Image Expansion Using Subband Filterbanks

Anastasios Delopoulos, Stefanos Kollias, Vassilis Alexopoulos, 1999 .

A Particle Swarm Optimization (PSO) Model for Scheduling Nonlinear Multimedia Services in Multicommodity Fat-Tree Cloud Networks

Stefanos D. Kollias, Ioannis M. Stephanakis, Ioannis P. Chochliouros, 2013, EANN.

Modeling context and fuzzy personas towards an intelligent Future Internet smart home paradigm

Andreas Stafylopatis, Stefanos D. Kollias, Phivos Mylonas, 2013, Intelligent Environments.

Intelligent content retrieval using a visual vocabulary and geometric constraints

Stefanos D. Kollias, Evaggelos Spyrou, Phivos Mylonas, 2010, International Conference on Fuzzy Systems.

Spatiotemporal saliency for event detection and representation in the 3D wavelet domain: potential in human action recognition

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2007, CIVR '07.

Bottom-up spatiotemporal visual attention model for video analysis

Yannis Avrithis, Stefanos Kollias, Nicolas Tsapatsoulis, 2007 .

Handling Uncertainty in Video Analysis with Spatiotemporal Visual Attention

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth pdf

Shouyong Jiang, Stefanos Kollias, Georgios Leontidis, 2020, Inf. Sci..

A multiresolution neural network approach to invariant image recognition

Stefanos D. Kollias, S. Kollias, 1996, Neurocomputing.

Shape-stable region boundary extraction via affine morphological scale space (AMSS)

Stefanos D. Kollias, Petros Kapsalas, S. Kollias, 2010, ACM Multimedia.

Parameterized Facial Expression Synthesis Based on MPEG-4

Kostas Karpouzis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2002, EURASIP J. Adv. Signal Process..

Compact 3D model generation based on 2D views of human faces : application to face recognition

George N. Votsis, Stefanos Kollias, Kostas Karpouzis, 1998 .

Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study

S. Kollias, L. Bidaut, S. Battiato, 2020, ICPR Workshops.

Deep Transparent Prediction through Latent Representation Analysis pdf

S. Kollias, D. Kollias, N. Bouas, 2020, ArXiv.

Deep neural architectures for prediction in healthcare

Andreas Stafylopatis, Stefanos Kollias, Dimitrios Kollias, 2017, Complex & Intelligent Systems.

Deep neural architectures for prediction in healthcare

S. Kollias, A. Stafylopatis, G. Tagaris, 2017, Complex & Intelligent Systems.

Exploring trace transform for robust human action recognition

Kostas Karpouzis, Stefanos D. Kollias, Georgios Goudelis, 2013, Pattern Recognit..

Deep Bayesian Self-Training

Mark Swainson, Stefanos Kollias, Kjartan Gudmundsson, 2018, Neural Computing and Applications.

Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images pdf

Stefanos D. Kollias, Mark Swainson, Kjartan Gudmundsson, 2018, ArXiv.

An intelligent system for facial emotion recognition

Stefanos D. Kollias, Roddy Cowie, John G. Taylor, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Feature Extraction and Selection for Inferring User Engagement in an HCI Environment

Kostas Karpouzis, Stefanos D. Kollias, Stylianos Asteriadis, 2009, HCI.

Machine Learning for Predictive Modelling of Ambulance Calls

S. Kollias, N. Siriwardena, J. Wingate, 2021, Electronics.

A Progressive Scheme for Digital Image Halftoning, Coding of Halftones, and Reconstruction

Stefanos D. Kollias, Dimitris Anastassiou, S. Kollias, 1992, IEEE J. Sel. Areas Commun..

A unified neutral network approach to digital image halftoning

Stefanos D. Kollias, Dimitris Anastassiou, S. Kollias, 1991, IEEE Trans. Signal Process..

A Study of Neural Network Applications to Signal Processing

Stefanos D. Kollias, S. Kollias, 1990, EURASIP Workshop.

Image halftoning and reconstruction using a neural network

Stefanos Kollias, T.-C. Tsai, D. Anastassiou, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Progressive half-toning of images

Dimitris Anastassiou, S. Kollias, S. Kollias, 1988 .

Neural network-assisted effective lossy compression of medical images

Stefanos Kollias, Andreas Stafylopatis, D. Kalogeras, 1996, Proc. IEEE.

Spatiotemporal Features for Action Recognition and Salient Event Detection

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2011, Cognitive Computation.

salienShrink: Saliency-Based Wavelet Shrinkage

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2007, 2007 IEEE International Conference on Image Processing.

Principled hybrid systems: theory and applications (Physta)

Stefanos D. Kollias, Frédéric Piat, S. Kollias, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization

Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor, 2019, IEEE Transactions on Cybernetics.

A dynamically trained neural network for machine vision applications

Stefanos Kollias, Anastasios Doulamis, Nikolaos Doulamis, 1998 .

Revisiting the medial axis for planar shape decomposition

Yannis Avrithis, Stefanos Kollias, Nikos Papanelopoulos, 2019, Comput. Vis. Image Underst..

VIRaL: Visual Image Retrieval and Localization

Yannis Avrithis, Stefanos D. Kollias, Evaggelos Spyrou, 2010, Multimedia Tools and Applications.

A visual pathway for shape-based invariant classification of gray scale images

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Klimis S. Ntalianis, 2007, Integr. Comput. Aided Eng..

Invariant image classification using triple-correlation-based neural networks

Stefanos D. Kollias, Anastasios Delopoulos, Andreas Tirakis, 1994, IEEE Trans. Neural Networks.

A Distributed Framework for Content Search Using Small World Communities

Stefanos Kollias, Seyyed-Mohammad Javadi-Moghaddam, S. Kollias, 2016 .

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 2003, IEEE Trans. Neural Networks.

Automatic Thematic Categorization of Multimedia Documents using Ontological Information and Fuzzy Algebra

Yannis Avrithis, Stefanos Kollias, Phivos Mylonas, 2006 .

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Petros Daras, Stefanos Kollias, Dimitrios Zarpalas, 2020, IEEE Access.

Intelligent Semantic Access to Audiovisual Content

Yannis Avrithis, Stefanos D. Kollias, Anastasios Delopoulos, 2002, SETN.

AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging

S. Kollias, D. Kollias, Anastasios Arsenos, 2022, ArXiv.

A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging

S. Kollias, D. Kollias, Anastasios Arsenos, 2023, Neurocomputing.

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

Stefanos Kollias, Dimitrios Kollias, Anastasios Arsenos, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

A Unified Deep Learning Approach for Prediction of Parkinson's Disease

Luc Bidaut, Ilianna Kollia, Stefanos Kollias, 2019, IET Image Process..

Transparent Adaptation in Deep Medical Image Diagnosis

S. Kollias, J. Wingate, I. Kollia, 2020, TAILOR.

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors

Stefanos D. Kollias, Antonios Mylonakis, Paolo Vinai, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2018, Int. J. Artif. Intell. Tools.

Adaptation and contextualization of deep neural network models

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Using Visual Context and Region Semantics for High-Level Concept Detection

Yannis Avrithis, Stefanos D. Kollias, Evaggelos Spyrou, 2009, IEEE Transactions on Multimedia.

Adaptive Reading Assistance for the Inclusion of Students with Dyslexia: The AGENT-DYSL Approach

Stefanos D. Kollias, Michael Schneider, Paraskevi K. Tzouveli, 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

Towards modeling embodied conversational agent character profiles using appraisal theory predictions in expression synthesis

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2009, Applied Intelligence.

Intelligent initialization of resource allocating RBF networks

Stefanos D. Kollias, Nicolas Tsapatsoulis, Manolis Wallace, 2005, Neural Networks.

Iterated Function Systems as Human Perceivable Spectral Tests of Randomness

S. Kollias, M. Wallace, Hara Stefanou, 2004 .

Semantic representation of multimedia content: Knowledge representation and semantic indexing

Yannis Avrithis, Stefanos D. Kollias, Phivos Mylonas, 2008, Multimedia Tools and Applications.

Semantic Image Segmentation and Object Labeling

Yannis Avrithis, Stefanos D. Kollias, Phivos Mylonas, 2007, IEEE Transactions on Circuits and Systems for Video Technology.

On-line retrainable neural networks: improving the performance of neural networks in image analysis problems

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 2000, IEEE Trans. Neural Networks Learn. Syst..

Video Object Segmentation Using the EM Algorithm

Stefanos Kollias, Anastasios Doulamis, Nikolaos Doulamis, 1999 .

A two-phase connectionist approach to invariant picture interpretation

Andreas Stafylopatis, D. Kontoravdis, S. Kollias, 1996 .

A novel computer vision-based data driven modelling approach for person specific fall detection

Stefanos D. Kollias, Xujiong Ye, Liyun Gong, 2021, J. Ambient Intell. Smart Environ..

Computer vision based fall detection by a convolutional neural network

Stefanos D. Kollias, Miao Yu, Liyun Gong, 2017, ICMI.

A snake model for object tracking in natural sequences

Stefanos D. Kollias, Nicolas Tsapatsoulis, Konstantinos Rapantzikos, 2004, Signal Process. Image Commun..

Improving the performance of MPEG compatible encoders using on line retrainable neural networks

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 1997, Proceedings of International Conference on Image Processing.

An Intelligent Scheme for Facial Expression Recognition

Kostas Karpouzis, Stefanos D. Kollias, Roddy Cowie, 2003, ICANN.

Investigating Context Awareness of Affective Computing Systems: A Critical Approach

Stefanos D. Kollias, Aggeliki Vlachostergiou, George Caridakis, 2014, IHCI.

Facial Expression Analysis

K. Karpouzis, A. Raouzaiou, S. Ioannou, 2009, Encyclopedia of Biometrics.

Dealing with feature uncertainty in facial expression recognition

Kostas Karpouzis, Stefanos D. Kollias, Manolis Wallace, 2006, Int. J. Intell. Syst. Technol. Appl..

Possibilistic Evaluation of Extended Fuzzy Rules in the Presence of Uncertainty

Stefanos D. Kollias, Manolis Wallace, S. Kollias, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Confidence-Based Fusion of Multiple Feature Cues for Facial Expression Recognition

Kostas Karpouzis, Stefanos D. Kollias, Manolis Wallace, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Facial and Body Feature Extraction for Emotionally-Rich HCI

Kostas Karpouzis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2005, Encyclopedia of Information Science and Technology.

Facial Expression and Gesture Analysis for Emotionally-Rich Man-Machine Interaction

Kostas Karpouzis, Stefanos Kollias, Nicolas Tsapatsoulis, 2004 .

Emotion Synthesis in Virtual Environments

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2004, ICEIS.

Online Gaming and Emotion Representation

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2003, VLBV.

Emotion representation for online gaming

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Emotion representation for virtual environments

Kostas Karpouzis, Stefanos Kollias, Nicolas Tsapatsoulis, 2003, Proceedings of the 7th International Conference on Telecommunications, 2003. ConTEL 2003..

Emotion Recognition and Synthesis Based on MPEG‐4 FAPs

Roddy Cowie, Nicolas Tsapatsoulis, Ellen Douglas-Cowie, 2002 .

A fuzzy system for emotion classification based on the MPEG-4 facial definition parameter set

Kostas Karpouzis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2000, 2000 10th European Signal Processing Conference.

Moving to continuous facial expression space using the MPEG-4 facial definition parameter (FDP) set

Kostas Karpouzis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2000, Electronic Imaging.

NEUTRON NOISE-BASED ANOMALY CLASSIFICATION AND LOCALIZATION USING MACHINE LEARNING

Antonios Mylonakis, Paolo Vinai, Christophe Demaziere, 2020, EPJ Web of Conferences.

Object tracking in clutter and partial occlusion through rule-driven utilization of Snakes

Stefanos D. Kollias, Nicolas Tsapatsoulis, Konstantinos Rapantzikos, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Semantic Representations With Attention Networks for Boosting Image Captioning

Deema Abdal Hafeth, S. Kollias, M. Ghafoor, 2023, IEEE Access.

Emotion Analysis in Man-Machine Interaction Systems

Kostas Karpouzis, Stefanos D. Kollias, Spiros Ioannou, 2004, MLMI.

Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment

Kostas Karpouzis, Stefanos D. Kollias, Stylianos Asteriadis, 2009, Multimedia Tools and Applications.

Robust Feature Detection for Facial Expression Recognition

Kostas Karpouzis, Stefanos D. Kollias, George Caridakis, 2007, EURASIP J. Image Video Process..

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments

Andreas Stafylopatis, Stefanos D. Kollias, Phivos Mylonas, 2013, 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization.

Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens

Andreas Stafylopatis, Stefanos D. Kollias, Phivos Mylonas, 2013, EANN.

MPEG-4 facial expression synthesis

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2007, Personal and Ubiquitous Computing.

HCI and Natural Progression of Context-Related Questions

Stefanos D. Kollias, Aggeliki Vlachostergiou, George Caridakis, 2015, HCI.

Player-Specific Conflict Handling Ontology

Stefanos D. Kollias, Kostas Karpouzis, George Marandianos, 2013, Int. J. Serious Games.

Recognition of Emotional States in Natural Human-Computer Interaction

Roddy Cowie, Ellen Douglas-Cowie, George Caridakis, 2008 .

Emotional face expression profiles supported by virtual human ontology

Daniel Thalmann, Nadia Magnenat-Thalmann, Stefanos D. Kollias, 2006, Comput. Animat. Virtual Worlds.

supported by virtual human ontology

Daniel Thalmann, Amaryllis Raouzaiou, Laurent Moccozet, 2006 .

Workshop Programme " Multimodal Corpora From Multimodal Behaviour Theories to Usable Models "

Kostas Karpouzis, Nick Campbell, Stefanos Kollias, 2006 .

Emotional Body Expression Parameters In Virtual Human Ontology

Daniel Thalmann, Frédéric Vexo, Amaryllis Raouzaiou, 2006 .

An Intermediate Expressions' Generator System in the MPEG-4 Framework

Kostas Karpouzis, Stefanos D. Kollias, Evaggelos Spyrou, 2005, VLBV.

Facial expression classification based on MPEG-4 FAPs: the use of evidence and prior knowledge for uncertainty removal

Stefanos D. Kollias, Nicolas Tsapatsoulis, Manolis Wallace, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Adaptive Rule-Based Facial Expression Recognition

Kostas Karpouzis, Stefanos D. Kollias, Nicolas Tsapatsoulis, 2004, SETN.

Emotion synthesis in the MPEG-4 framework

Kostas Karpouzis, Stefanos D. Kollias, Amaryllis Raouzaiou, 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

PARAMETERIZED FACIAL EXPRESSION SYNTHESIS FOR VIDEOCONFERENCING APPLICATIONS

Stefanos Kollias, Nicolas Tsapatsoulis, Amaryllis Raouzaiou, 2001 .

Introducing Routing Uncertainty in Capsule Networks

Stefanos Kollias, Fabio De Sousa Ribeiro, Georgios Leontidis, 2020, NeurIPS.

Design of a lifestyle recommender system for the elderly: requirement gatherings in Germany and Greece

Thomas Rist, Kostas Karpouzis, Stefanos D. Kollias, 2015, PETRA.

Context-sensitive semantic query expansion

Giorgos Stamou, Stefanos Kollias, Manolis Wallace, 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

Video content representation using optimal extraction of frames and scenes

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation

Kostas Karpouzis, Stefanos D. Kollias, Stylianos Asteriadis, 2014, International Journal of Computer Vision.

Visual Pathways for Shape Abstraction

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Konstantinos Raftopoulos, 2011, ICANN.

AI-enabled Efficient and Safe Food Supply Chain

S. Kollias, J. Stevenson, I. Kollia, 2021, Electronics.

Towards an integrated personalized interactive video environment

Kostas Karpouzis, Stefanos D. Kollias, Phivos Mylonas, 2004, IEEE Sixth International Symposium on Multimedia Software Engineering.

Context - Sensitive Query Expansion Based on Fuzzy Clustering of Index Terms

Stefanos D. Kollias, Giorgos B. Stamou, Manolis Wallace, 2002, FQAS.

AUTOMATIC EXTRACTION OF SEMANTIC PREFERENCES FROM MULTIMEDIA DOCUMENTS

Stefanos Kollias, Phivos Mylonas, Manolis Wallace, 2003 .

Knowledge – Assisted Video Analysis and Object Detection

Giorgos Stamou, Stefanos Kollias, Gabriel Tsechpenakis, 2002 .

Representation of user preferences and adaptation to context in multimedia content – based retrieval

Stefanos Kollias, Manolis Wallace, Giorgos Akrivas, 2002 .

An Intelligent System for Archiving and Retrieval of Audiovisual Material Based on the MPEG-7 Description Schemes

Yannis Avrithis, Anastasios Delopoulos, Iraklis Varlamis, 2001 .

An Intelligent System for Retrieval and Mining of Audiovisual Material Based on the MPEG-7 Description Schemes

Yannis Avrithis, Kostas Karpouzis, Anastasios Delopoulos, 2001 .

A Neuro-fuzzy Approach to User Attention Recognition

Kostas Karpouzis, Stefanos D. Kollias, Stylianos Asteriadis, 2008, ICANN.

Probabilistic Boundary-Based Contour Tracking With Snakes In Natural Cluttered Video Sequences

Stefanos D. Kollias, Nicolas Tsapatsoulis, Gavriil Tsechpenakis, 2004, Int. J. Image Graph..

An efficient fully unsupervised video object segmentation scheme using an adaptive neural-network classifier architecture

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2003, IEEE Trans. Neural Networks.

Affine-invariant curve normalization for object shape representation, classification, and retrieval

Yannis Avrithis, Yiannis Xirouhakis, Stefanos D. Kollias, 2001, Machine Vision and Applications.

Intelligent One-Stop-Shop Travel Recommendations Using an Adaptive Neural Network and Clustering of History

Kostas Karpouzis, Stefanos D. Kollias, Ilias Maglogiannis, 2003, J. Inf. Technol. Tour..

Effective access to large audiovisual assets based on user preferences

Kostas Karpouzis, Stefanos D. Kollias, Klimis S. Ntalianis, 2000, MULTIMEDIA '00.

Low bit-rate coding of image sequences using adaptive regions of interest

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 1998, IEEE Trans. Circuits Syst. Video Technol..

Optimal filter banks for signal reconstruction from noisy subband components

Stefanos D. Kollias, Anastasios Delopoulos, S. Kollias, 1996, IEEE Trans. Signal Process..

Optimal filterbanks for signal reconstruction from noisy subband components

Anastasios Delopoulos, Stefanos Kollias, S. Kollias, 1994, Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.

FiRE : A Fuzzy Reasoning Engine for Imprecise Knowledge

S. Kollias, S. Kollias, N. Simou, 2007 .

Knowledge-Based Multimedia Content Indexing and Retrieval

Yannis Avrithis, Giorgos Stamou, Stefanos Kollias, 2005, Multimedia Content and the Semantic Web.

The Electronic Road: Personalized Content Browsing

Kostas Karpouzis, Stefanos D. Kollias, Giorgos B. Stamou, 2003, IEEE Multim..

ON THE USE OF SPATIOTEMPORAL VISUAL ATTENTION FOR VIDEO CLASSIFICATION

Yannis Avrithis, Stefanos Kollias, Konstantinos Rapantzikos, 2005 .

Multimedia Content and the Semantic Web

Stefanos Kollias, Giorgos Stamou, S. Kollias, 2005, Multimedia Content and the Semantic Web.

Adaptive training of multilayer neural networks using a least squares estimation technique

S. Kollias, D. Anastassiou, S. Kollias, 1988, IEEE 1988 International Conference on Neural Networks.

Combining guaranteed and spot markets in display advertising: Selling guaranteed page views with stochastic demand

Stefanos Kollias, Bowei Chen, Shigang Yue, 2017, Eur. J. Oper. Res..

Efficient Unsupervised Content-Based Segmentation in Stereoscopic Video Sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2000, Int. J. Artif. Intell. Tools.

Face extraction from non-uniform background and recognition in compressed domain

Stefanos D. Kollias, Nicolas Tsapatsoulis, Nikolaos D. Doulamis, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Adaptive classification of textured images using linear prediction and neural networks

Stefanos D. Kollias, Yiannis S. Boutalis, Levon Sukissian, 1994, Signal Process..

Α-shapes for Local Feature Detection

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2016, Pattern Recognit..

Predicting Parkinson’s Disease using Latent Information extracted from Deep Neural Networks

Andreas Stafylopatis, Stefanos D. Kollias, Ilianna Kollia, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Uncertainty and the Semantic Web

Stefanos D. Kollias, Giorgos Stoilos, Giorgos B. Stamou, 2006, IEEE Intelligent Systems.

Digital Image Halftoning Using Neural Networks

Stefanos Kollias, Dimitris Anastassiou, S. Kollias, 1988, Other Conferences.

MPEG-4 Facial Expression Synthesis based on Appraisal Theory

Stefanos D. Kollias, Amaryllis Raouzaiou, Lori Malatesta, 2006, AIAI.

MODELING AND QUEUING ANALYSIS OF VARIABLE-BIT-RATE MPEG VIDEO STREAMS

S. Kollias, A. Doulamis, N. Doulamis, 1998 .

A model reduction algorithm by spline approximation in the deconvolution of seismic signals

Stefanos D. Kollias, Cristos C. Halkias, C. C. Halkias, 1983, ICASSP.

Automatic assessment of Parkinson's patients' dyskinesia using non-invasive machine learning methods

S. Kollias, P. Theofilou, Georgios Tsatiris, 2022, 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET).

A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications pdf

Stefanos D. Kollias, Kostas Karpouzis, Georgios Tsatiris, 2020, EANN.

Non-sequential video content representation using temporal variation of feature vectors

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 2000, 2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102).

Efficient summarization of stereoscopic video sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2000, IEEE Trans. Circuits Syst. Video Technol..

Hierarchical Content Organization of Video Files for Interactive Video Transmission and Navigation over Internet

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2022 .

Head pose estimation with one camera, in uncalibrated environments

Kostas Karpouzis, Stefanos Kollias, Stylianos Asteriadis, 2010, EGIHMI '10.

Fall detection using history triple features

Kostas Karpouzis, Stefanos D. Kollias, Georgios Goudelis, 2015, PETRA.

A novel rule based machine translation scheme from Greek to Greek Sign Language: Production of different types of large corpora and Language Models evaluation

Stefanos D. Kollias, Dimitris Kouremenos, Klimis S. Ntalianis, 2018, Comput. Speech Lang..

Semantic clustering of information systems' users with stochastic techniques

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Klimis S. Ntalianis, 2007, International Conference on Semantic Computing (ICSC 2007).

A fuzzy video content representation for video summarization and content-based retrieval

Stefanos D. Kollias, Nikolaos D. Doulamis, Anastasios D. Doulamis, 2000, Signal Process..

SEMANTIC IMAGE ANALYSIS USING A SYMBOLIC NEURAL ARCHITECTURE

Stefanos Kollias, Andreas Stafylopatis, Ilianna Kollia, 2010 .

Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics

Andreas Stafylopatis, Stefanos D. Kollias, Giorgos B. Stamou, 2008, ICANN.

A Connectionist Model for Weighted Fuzzy Programs

Andreas Stafylopatis, Stefanos D. Kollias, Giorgos B. Stamou, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Capsule Routing via Variational Bayes pdf

Stefanos Kollias, Fabio De Sousa Ribeiro, Georgios Leontidis, 2019, AAAI.

Tractable reasoning with vague knowledge using fuzzy $\mathcal{EL}^{++}$

S. Kollias, G. Stoilos, G. Stamou, 2012, Journal of Intelligent Information Systems.

A Novel Model Fusion Approach for Greenhouse Crop Yield Prediction

S. Kollias, Vassilis Cutsuridis, S. Pearson, 2022, Horticulturae.

Studies of evolutionary algorithms for the reduced Tomgro model calibration for modelling tomato yields

Stefanos Kollias, Shouyong Jiang, Vassilis Cutsuridis, 2021, Smart Agricultural Technology.

On the Beneficial Effect of Noise in Vertex Localization

Stefanos D. Kollias, Konstantinos A. Raftopoulos, Marin Ferecatu, 2018, International Journal of Computer Vision.

Incremental Noising and its Fractal Behavior

Konstantinos A. Raftopoulos, S. Kollias, Marin Ferecatu, 2016, arXiv.org.

A Deep Learning Approach for Load Demand Forecasting of Power Systems

Stefanos D. Kollias, Ilianna Kollia, S. Kollias, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

A. DURRANT, G. LEONTIDIS, S. KOLLIAS, 2019, EPJ Nuclear Sciences & Technologies.

Multi-source domain adaptation for quality control in retail food packaging

Mark Swainson, Mamatha Thota, Stefanos Kollias, 2020, Comput. Ind..

A novel unified deep neural networks methodology for use by date recognition in retail food package image

Mark Swainson, Xujiong Ye, Miao Yu, 2020, Signal, Image and Video Processing.

A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis

S. Kollias, D. Kollias, Anastasios Arsenos, 2022, 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

Image indexing and retrieval using expressive fuzzy description logics

Stefanos D. Kollias, Giorgos Stoilos, Nikos Simou, 2008, Signal Image Video Process..

Enriching and Publishing Cultural Heritage as Linked Open Data

Stefanos D. Kollias, Giorgos B. Stamou, Alexandros Chortaras, 2017, Mixed Reality and Gamification for Cultural Heritage.

Towards large-scale geometry indexing by feature selection

Yannis Avrithis, Stefanos D. Kollias, Giorgos Tolias, 2014, Comput. Vis. Image Underst..

Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-I

S. Kollias, G. Baciu, K. Nakkeeran, 2022, Electronics.

Posted price programmatic guarantee in display advertising

Yufei Huang, S. Kollias, Shigang Yue, 2017, ArXiv.

SEMANTIC UNIFICATION OF HETEROGENOUS MULTIMEDIA ARCHIVES

Yannis Avrithis, Stefanos Kollias, Philippe Salembier, 2003 .

An intelligent e-learning system based on learner profiling and learning resources adaptation

Stefanos D. Kollias, Phivos Mylonas, Paraskevi K. Tzouveli, 2008, Comput. Educ..

E-learning and intelligent content adaptation: an integrated approach

P. Tzouveli, Stefanos Kollias, Phivos Mylonas, 2007 .

Context in Affective Multiparty and Multimodal Interaction: Why, Which, How and Where?

Stefanos D. Kollias, Aggeliki Vlachostergiou, George Caridakis, 2014, UM3I '14.

An Emotional Recognition Architecture Based on Human Brain Structure

Stefanos D. Kollias, Roddy Cowie, Stavroula-Evita Fotinea, 2003, ICANN.

Lv OS LINE IDESTIFICATION METHOD USING INSTRUIlESTAL VARIABLES .AND DECOSVOLUTIOX

S. Kollias, C. Halkias, 1984 .

Variance-based shape descriptors for determining the level of expertise of tennis players

Kostas Karpouzis, Stefanos D. Kollias, Georgios Tsatiris, 2017, 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games).

SOMM: Self organizing Markov map for gesture recognition

Kostas Karpouzis, Stefanos D. Kollias, George Caridakis, 2010, Pattern Recognit. Lett..

Detecting Regions from Single Scale Edges

Yannis Avrithis, Stefanos D. Kollias, Konstantinos Rapantzikos, 2010, ECCV Workshops.

Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction

S. Kollias, Markos Diomataris, Zacharias Anastasakis, 2023, ArXiv.

Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2002, ICANN.

Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic Sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2001, ICANN.

A feature point based scheme for unsupervised video object segmentation in stereoscopic video sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

An active contour-based video object segmentation scheme for stereoscopic video sequences

K. S. Ntalianis, Stefanos Kollias, Anastasios Doulamis, 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

Unsupervised VOP Segmentation of Stereo-Captured Video Sequences

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2003 .

Adaptable Neural Networks for Unsupervised Content-based Video Object Segmentation

Stefanos D. Kollias, Nikolaos D. Doulamis, Klimis S. Ntalianis, 2022 .

Towards a personalized e-learning scheme for teachers

Stefanos D. Kollias, Phivos Mylonas, Paraskevi K. Tzouveli, 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

Using k-Nearest Neighbor and Feature Selection as an Improvement to Hierarchical Clustering

Stefanos D. Kollias, Phivos Mylonas, Manolis Wallace, 2004, SETN.

Unsupervised semantic object segmentation of stereoscopic video sequences

Stefanos Kollias, Anastasios Doulamis, Nikolaos Doulamis, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Emotion recognition in human-computer interaction

George N. Votsis, Roddy Cowie, Winfried A. Fellenz, 2001, IEEE Signal Process. Mag..

Prediction of iron losses of wound core distribution transformers based on artificial neural networks

Stefanos D. Kollias, Nikos D. Hatziargyriou, Nikolaos D. Doulamis, 1998, Neurocomputing.

E-Questionnaire for Innovative Adaptive-Learning Scheme

Stefanos Kollias, Tzouveli Paraskevi, S. Kollias, 2006 .

Satellite image super-resolution for forest localization

S. Kollias, P. Tzouveli, Eleftherios Lymperopoulos, 2023, 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS).

A natural head pose and eye gaze dataset

Stefanos Kollias, Stylianos Asteriadis, Kostas Karpouzis, 2009, AFFINE '09.

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

S. Kollias, D. Kollias, Anastasios Arsenos, 2024, ArXiv.

Data-Driven Covid-19 Detection Through Medical Imaging

S. Kollias, P. Prassopoulos, D. Kollias, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity

S. Kollias, D. Kollias, Anastasios Arsenos, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging

S. Kollias, D. Kollias, Anastasios Arsenos, 2022, ECCV Workshops.

HEAR?INFO: A Modern Mobile-Web Platform Addressed to Hard-of-Hearing Elderly Individuals

Michail Sarafidis, Dimitrios D. Koutsouris, Stefanos Kollias, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

2005 Special Issue: Emotion recognition through facial expression analysis based on a neurofuzzy network

S. Kollias, K. Karpouzis, A. Raouzaiou, 2005 .

Semi-automatic Extraction of Semantics from Football Video Sequences

Stefanos D. Kollias, Giorgos B. Stamou, Vassilis Tzouvaras, 2004, SETN.

Adaptive rule-based recognition of events in video sequences

Stefanos D. Kollias, Giorgos B. Stamou, Gavriil Tsechpenakis, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Knowledge Refinement Using Fuzzy Compositional Neural Networks

Stefanos D. Kollias, Giorgos B. Stamou, Vassilis Tzouvaras, 2003, ICANN.

Intelligent Facial Analysis and Expression Recognition

Stefanos D. Kollias, Manolis Wallace, Spiros Ioannou, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Combination of multiple extraction algorithms in the detection of facial features

Kostas Karpouzis, Stefanos D. Kollias, Manolis Wallace, 2005, IEEE International Conference on Image Processing 2005.

COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System

S. Kollias, D. Kollias, Demetris Gerogiannis, 2024, ArXiv.

The Importance of Eye Gaze and Head Pose to Estimating Levels of Attention

Kostas Karpouzis, Stefanos D. Kollias, Stylianos Asteriadis, 2011, 2011 Third International Conference on Games and Virtual Worlds for Serious Applications.

3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

S. Kollias, G. Leontidis, A. Durrant, 2019, EPJ Nuclear Sciences & Technologies.

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis

Stefanos D. Kollias, Antonios Mylonakis, Francesco Calivà, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

A multiresolution probabilistic neural network for image segmentation

Stefanos D. Kollias, Dimitrios Kalogeras, S. Kollias, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient image classification using neural networks and multiresolution analysis

Stefanos D. Kollias, Andreas Tirakis, S. Kollias, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Adaptive segmentation of textured images using linear prediction and neural networks

S. Kollias, L. Sukissian, S. Kollias, 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

Adaptive classification of textured images using moments and autoregressive models

Stefanos Kollias, Levon Sukissian, Andreas Tirakis, 1990, Other Conferences.

Computationally efficient incremental transitive closure of sparse fuzzy binary relations

Stefanos D. Kollias, Manolis Wallace, S. Kollias, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

USING CONTEXT AND FUZZY RELATIONS TO INTERPRET MULTIMEDIA CONTENT

Yannis Avrithis, Stefanos Kollias, Phivos Mylonas, 2003 .

Unified Intelligent Access to Heterogeneous Audiovisual Content

S. Kollias, S. Kollias, Yannis Avrithis, 2001 .