Alexandros Iosifidis

Orcid: 0000-0003-4807-1345

According to our database1, Alexandros Iosifidis authored at least 294 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient High-Resolution Deep Learning: A Survey.
ACM Comput. Surv., July, 2024

Reducing redundancy in the bottleneck representation of autoencoders.
Pattern Recognit. Lett., 2024

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild.
CoRR, 2024

Geometric Deep Learning for Computer-Aided Design: A Survey.
CoRR, 2024

Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder.
CoRR, 2024

2023
Constructing Neural Network Based Models for Simulating Dynamical Systems.
ACM Comput. Surv., November, 2023

Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance.
Expert Syst. Appl., October, 2023

Bayesian learning for neural networks: an algorithmic survey.
Artif. Intell. Rev., October, 2023

Augmented bilinear network for incremental multi-stock time-series classification.
Pattern Recognit., September, 2023

Predicting the state of synchronization of financial time series using cross recurrence plots.
Neural Comput. Appl., September, 2023

Continual spatio-temporal graph convolutional networks.
Pattern Recognit., August, 2023

Graph-embedded subspace support vector data description.
Pattern Recognit., 2023

Qualifying and raising anti-money laundering alarms with deep learning.
Expert Syst. Appl., 2023

Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation.
CoRR, 2023

Improving Unimodal Inference with Multimodal Transformers.
CoRR, 2023

On Pixel-level Performance Assessment in Anomaly Detection.
CoRR, 2023

Convolutional autoencoder-based multimodal one-class classification.
CoRR, 2023

Curiosity-Driven Reinforcement Learning based Low-Level Flight Control.
CoRR, 2023

On Feature Diversity in Energy-based Models.
CoRR, 2023

Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos.
CoRR, 2023

Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement.
CoRR, 2023

Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks.
CoRR, 2023

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection.
CoRR, 2023

Adaptive Parameterization of Deep Learning Models for Federated Learning.
CoRR, 2023

Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey.
IEEE Access, 2023

Fighting Money Laundering With Statistics and Machine Learning.
IEEE Access, 2023

Variational Voxel Pseudo Image Tracking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Cryptocurrency Portfolio Optimization by Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Learning Distinct Features Helps, Provably.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Layer Ensembles.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Variational Neural Networks.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Recognition of Defective Mineral Wool Using Pruned ResNet Models.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2023

PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Continual Transformers: Redundancy-Free Attention for Online Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications.
Proceedings of the IEEE International Conference on Communications, 2023

Dynamic Split Computing for Efficient Deep EDGE Intelligence.
Proceedings of the IEEE International Conference on Acoustics, 2023

Variational Inference for GARCH-family Models.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition.
Proceedings of the IEEE Globecom Workshops 2023, 2023

WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Variational Neural Networks implementation in Pytorch and JAX.
Softw. Impacts, December, 2022

Industrial drying of Filter Media - Moisture Content Prediction.
Dataset, August, 2022

Saliency-Based Multilabel Linear Discriminant Analysis.
IEEE Trans. Cybern., 2022

Feedforward neural networks initialization based on discriminant learning.
Neural Networks, 2022

Single-layer vision transformers for more accurate early exits with less overhead.
Neural Networks, 2022

Editorial to special issue on cross-media learning for visual question answering.
Image Vis. Comput., 2022

Remote Multilinear Compressive Learning With Adaptive Compression.
IEEE Internet Things J., 2022

3D Quantum Cuts for automatic segmentation of porous media in tomography images.
Comput. Geosci., 2022

Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing.
CoRR, 2022

Structured Pruning Adapters.
CoRR, 2022

Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey.
CoRR, 2022

Exact Manifold Gaussian Variational Bayes.
CoRR, 2022

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild.
CoRR, 2022

EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions.
CoRR, 2022

HyperTime: Implicit Neural Representation for Time Series.
CoRR, 2022

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images.
CoRR, 2022

Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning.
CoRR, 2022

Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives.
CoRR, 2022

Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks.
CoRR, 2022

How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective.
CoRR, 2022

Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data.
CoRR, 2022

Non-Linear Spectral Dimensionality Reduction Under Uncertainty.
CoRR, 2022

Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review.
CoRR, 2022

Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation.
Comput. Networks, 2022

Attention-Based Neural Bag-of-Features Learning for Sequence Data.
IEEE Access, 2022

Graph Embedding With Data Uncertainty.
IEEE Access, 2022

Efficient CNN with uncorrelated Bag of Features pooling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Self-Attention Neural Bag-of-Features.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications.
Proceedings of the IEEE International Smart Cities Conference, 2022

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Product Quality Control in Assembly Machine under Data Restricted Settings.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Generalized Reference Kernel for One-class Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Self-attention fusion for audiovisual emotion recognition with incomplete data.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2022

Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2022

Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2022

Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction.
Proceedings of the 30th European Signal Processing Conference, 2022

Weighted Edit Distance for Country Code Recognition in License Plates.
Proceedings of the 30th European Signal Processing Conference, 2022

Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Continual 3D Convolutional Neural Networks for Real-time Processing of Videos.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization.
J. Signal Process. Syst., 2021

Multilinear Compressive Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Multi-View Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2021

Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol.
IEEE Trans. Image Process., 2021

CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Multimodal subspace support vector data description.
Pattern Recognit., 2021

Speed-up and multi-view extensions to subclass discriminant analysis.
Pattern Recognit., 2021

Self-organized Operational Neural Networks with Generative Neurons.
Neural Networks, 2021

Visualising deep network time-series representations.
Neural Comput. Appl., 2021

Exploiting heterogeneity in operational neural networks by synaptic plasticity.
Neural Comput. Appl., 2021

Pain detection using batch normalized discriminant restricted Boltzmann machine layers.
J. Vis. Commun. Image Represent., 2021

On Quantitative Evaluations of Counterfactuals.
CoRR, 2021

DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series.
CoRR, 2021

Bilinear Input Normalization for Neural Networks in Financial Forecasting.
CoRR, 2021

Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving.
CoRR, 2021

Within-layer Diversity Reduces Generalization Gap.
CoRR, 2021

Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems.
CoRR, 2021

Knowledge Distillation By Sparse Representation Matching.
CoRR, 2021

Visualising Deep Network's Time-Series Representations.
CoRR, 2021

Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm.
CoRR, 2021

Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation.
CoRR, 2021

AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset.
CoRR, 2021

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification.
Cogn. Comput., 2021

INTEL-TAU: A Color Constancy Dataset.
IEEE Access, 2021

Progressive Graph Convolutional Networks for Semi-Supervised Node Classification.
IEEE Access, 2021

Automatic Main Character Recognition for Photographic Studies.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer.
Proceedings of the International Joint Conference on Neural Networks, 2021

Monte Carlo Dropout Ensembles for Robust Illumination Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2021

On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Augmenting Transferred Representations for Stock Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Ensembling Object Detectors for Image and Video Data Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust channel-wise illumination estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning to ignore: rethinking attention in CNNs.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

ECINN: Efficient Counterfactuals from Invertible Neural Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Multi-Exit Vision Transformer for Dynamic Inference.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Introduction to Digital Twin Engineering.
Proceedings of the Annual Modeling and Simulation Conference, 2021

2020
Heterogeneous Multilayer Generalized Operational Perceptron.
IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Adaptive Input Normalization for Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., 2020

Bag of Color Features for Color Constancy.
IEEE Trans. Image Process., 2020

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Deep Learning for Visual Content Analysis.
Signal Process. Image Commun., 2020

Human experts vs. machines in taxa recognition.
Signal Process. Image Commun., 2020

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data.
Pattern Recognit. Lett., 2020

Variance-preserving deep metric learning for content-based image retrieval.
Pattern Recognit. Lett., 2020

Class mean vector component and discriminant analysis.
Pattern Recognit. Lett., 2020

Recurrent bag-of-features for visual information analysis.
Pattern Recognit., 2020

Operational neural networks.
Neural Comput. Appl., 2020

Progressive Operational Perceptrons with Memory.
Neurocomputing, 2020

Evaluating data augmentation for financial time series classification.
CoRR, 2020

Supervised Domain Adaptation: Were we doing Graph Embedding all along?
CoRR, 2020

Saliency-based Weighted Multi-label Linear Discriminant Analysis.
CoRR, 2020

Multilinear Compressive Learning with Prior Knowledge.
CoRR, 2020

Automatic image-based identification and biomass estimation of invertebrates.
CoRR, 2020

Using Deep Learning for price prediction by exploiting stationary limit order book features.
Appl. Soft Comput., 2020

Ellipsoidal Subspace Support Vector Data Description.
IEEE Access, 2020

Probabilistic Class-Specific Discriminant Analysis.
IEEE Access, 2020

Machine Learning Based Analysis of Finnish World War II Photographers.
IEEE Access, 2020

Performance Indicator in Multilinear Compressive Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Data Normalization for Bilinear Structures in High-Frequency Financial Time-series.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Not all domains are equally complex: Adaptive Multi-Domain Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Supervised Domain Adaptation using Graph Embedding.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Human Action Recognition Using Recurrent Bag-of-Features Pooling.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Subset Sampling for Progressive Neural Network Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020

Probabilistic Color Constancy.
Proceedings of the IEEE International Conference on Image Processing, 2020

Incremental Fast Subclass Discriminant Analysis.
Proceedings of the IEEE International Conference on Image Processing, 2020

Text-To-Image Synthesis Method Evaluation Based On Visual Patterns.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

Robust Fast Subclass Discriminant Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2019

<i>PyGOP</i>: A Python library for Generalized Operational Perceptron algorithms.
Knowl. Based Syst., 2019

Null Space Analysis for Class-Specific Discriminant Learning.
CoRR, 2019

Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators.
CoRR, 2019

Data-driven Neural Architecture Learning For Financial Time-series Forecasting.
CoRR, 2019

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data.
CoRR, 2019

Feature Engineering for Mid-Price Prediction With Deep Learning.
IEEE Access, 2019

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.
IEEE Access, 2019

Color Constancy Convolutional Autoencoder.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Class-Based Variational Representation Learning For Robust Image Retrieval.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning to Rank: A Progressive Neural Network Learning Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval.
IEEE Trans. Cybern., 2018

Probabilistic saliency estimation.
Pattern Recognit., 2018

Improving efficiency in convolutional neural networks with multilinear filters.
Neural Networks, 2018

Benchmark database for fine-grained image classification of benthic macroinvertebrates.
Image Vis. Comput., 2018

Semi-supervised subclass support vector data description for image and video classification.
Neurocomputing, 2018

Neural class-specific regression for face verification.
IET Biom., 2018

Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning.
CoRR, 2018

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data.
CoRR, 2018

Progressive Operational Perceptron with Memory.
CoRR, 2018

Multi-layer Kernel Ridge Regression for One-class Classification.
CoRR, 2018

Heterogeneous Multilayer Generalized Operational Perceptron.
CoRR, 2018

Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Subspace Support Vector Data Description.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Weighted Linear Discriminant Analysis Based on Class Saliency Information.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Acceleration Approaches for Big Data Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automatic Flower and Visitor Detection System.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions.
IEEE Trans. Cybern., 2017

Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition.
IEEE Signal Process. Lett., 2017

Big Media Data Analysis.
Signal Process. Image Commun., 2017

Multilinear class-specific discriminant analysis.
Pattern Recognit. Lett., 2017

Learning graph affinities for spectral graph-based salient object detection.
Pattern Recognit., 2017

One-Class Classification Based on Extreme Learning and Geometric Class Information.
Neural Process. Lett., 2017

CNN-based edge filtering for object proposals.
Neurocomputing, 2017

Progressive Operational Perceptrons.
Neurocomputing, 2017

Approximate kernel extreme learning machine for large scale data classification.
Neurocomputing, 2017

On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks.
Expert Syst. Appl., 2017

The effect of automated taxa identification errors on biological indices.
Expert Syst. Appl., 2017

Improving Efficiency in Convolutional Neural Network with Multilinear Filters.
CoRR, 2017

Benchmark Dataset for Mid-Price Prediction of Limit Order Book data.
CoRR, 2017

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.
Proceedings of the 19th IEEE Conference on Business Informatics, 2017

Tensor representation in high-frequency financial data for price change prediction.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Sample-based regularization for support vector machine classification.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Subaperture image segmentation for lossless compression.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Generalized model of biological neural networks: Progressive operational perceptrons.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Class-specific kernel discriminant analysis based on Cholesky decomposition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using deep learning to detect price change indications in financial markets.
Proceedings of the 25th European Signal Processing Conference, 2017

Time-series classification using neural Bag-of-Features.
Proceedings of the 25th European Signal Processing Conference, 2017

Pyramid encoding for fast additive quantization.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Visual Voice Activity Detection in the Wild.
IEEE Trans. Multim., 2016

Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification.
IEEE Trans. Inf. Forensics Secur., 2016

Graph Embedded Extreme Learning Machine.
IEEE Trans. Cybern., 2016

Graph Embedded One-Class Classifiers for media data classification.
Pattern Recognit., 2016

Nyström-based approximate kernel subspace learning.
Pattern Recognit., 2016

Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs.
Pattern Recognit., 2016

Exploiting stereoscopic disparity for augmenting human activity recognition performance.
Multim. Tools Appl., 2016

Hierarchical class-specific kernel discriminant analysis for face verification.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Kernel subclass support vector description for face and human action recognition.
Proceedings of the First International Workshop on Sensing, 2016

Laplacian one class extreme learning machines for human action recognition.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Prototype-based class-specific nonlinear subspace learning for large-scale face verification.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Object proposals using CNN-based edge filtering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates.
Proceedings of the 2nd ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2016

Salient object segmentation based on linearly combined affinity graphs.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

One class classification applied in facial image analysis.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Supervised subspace learning based on deep randomized networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Maximum margin binary classifiers using intrinsic and penalty graphs.
Proceedings of the 24th European Signal Processing Conference, 2016

A review of approximate methods for kernel-based big media data analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

Graph-regularized multi-class support vector machines for face and action recognition.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis.
IEEE Trans. Hum. Mach. Syst., 2015

Sparse extreme learning machine classifier exploiting intrinsic graphs.
Pattern Recognit. Lett., 2015

On the kernel Extreme Learning Machine classifier.
Pattern Recognit. Lett., 2015

On the kernel Extreme Learning Machine speedup.
Pattern Recognit. Lett., 2015

The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living.
J. Inf. Hiding Multim. Signal Process., 2015

DropELM: Fast neural network regularization with Dropout and DropConnect.
Neurocomputing, 2015

Distance-based human action recognition using optimized class representations.
Neurocomputing, 2015

Extreme learning machine based supervised subspace learning.
Neurocomputing, 2015

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine.
Int. J. Artif. Intell. Tools, 2015

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Nearest Class Vector Classification for Large-Scale Learning Problems.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Regularized Extreme Learning Machine for Large-scale Media Content Analysis.
Proceedings of the INNS Conference on Big Data 2015, 2015

Visual voice activity detection based on spatiotemporal information and bag of words.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Merging linear discriminant analysis with Bag of Words model for human action recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Fast Kernel Matrix Computation for Big Data Clustering.
Proceedings of the International Conference on Computational Science, 2015

Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views.
Proceedings of the International Conference on Computational Science, 2015

Exploiting subclass information in one-class support vector machine for video summarization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Enhancing class discrimination in Kernel Discriminant Analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Class-specific nonlinear subspace learning based on optimized class representation.
Proceedings of the 23rd European Signal Processing Conference, 2015

A Bayesian approach for extreme learning machine-based subspace learning.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Discriminant Bag of Words based representation for human action recognition.
Pattern Recognit. Lett., 2014

Kernel Reference Discriminant Analysis.
Pattern Recognit. Lett., 2014

Regularized extreme learning machine for multi-view semi-supervised action recognition.
Neurocomputing, 2014

Multi-view Regularized Extreme Learning Machine for Human Action Recognition.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Person de-identification in activity videos.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Exploiting Local Class Information in Extreme Learning Machine.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Semi-supervised Classification of Human Actions Based on Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Human action recognition based on bag of features and multi-view neural networks.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Minimum Variance Extreme Learning Machine for human action recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Human action recognition in stereoscopic videos based on bag of features and disparity pyramids.
Proceedings of the 22nd European Signal Processing Conference, 2014

Computational Intelligence Approaches for Digital Media Analysis and Description.
Proceedings of the Intelligent Data analysis and its Applications, Volume II, 2014

Stereoscopic video description for human action recognition.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

Video summarization based on Subclass Support Vector Data Description.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
Τεχνικές μηχανικής όρασης και αναγνώρισης προτύπων για την αλληλεπίδραση ανθρώπου-υπολογιστή
PhD thesis, 2013

On the Optimal Class Representation in Linear Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2013

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2013

Minimum Class Variance Extreme Learning Machine for Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2013

Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis.
Signal Process., 2013

Dynamic action recognition based on dynemes and Extreme Learning Machine.
Pattern Recognit. Lett., 2013

Learning sparse representations for view-independent human action recognition based on fuzzy distances.
Neurocomputing, 2013

Person identification from actions based on dynemes and discriminant learning.
Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013

View-independent human action recognition based on multi-view action images and discriminant learning.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

Representative Class Vector Clustering-Based Discriminant Analysis.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Multi-view Human Action Recognition: A Survey.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Active classification for human action recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Dynamic action classification based on iterative data selection and Feedforward Neural networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Neural Networks for Digital Media Analysis and Description.
Proceedings of the Engineering Applications of Neural Networks, 2013

Person identification from actions based on Artificial Neural Networks.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, 2013

2012
View-Invariant Action Recognition Based on Artificial Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning.
IEEE Trans. Inf. Forensics Secur., 2012

Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis.
Comput. Vis. Image Underst., 2012

Neural representation and learning for multi-view human action recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Discriminant action representation for view-invariant person identification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Person specific activity recognition using fuzzy learning and Discriminant Analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

Learning Human Identity Using View-Invariant Multi-view Movement Representation.
Proceedings of the Biometrics and ID Management, 2011

2010
Movement recognition exploiting multi-view information.
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010


  Loading...