Preprints under review in conferences
L. Hedegaard, A. Alok, J. Jose and A. Iosifidis, "Structured Pruning Adapters", arXiv:2211.10155
N. Heidari and A. Iosifidis, "Learning Diversified Feature Representations for Facial Expression Recognition in the Wild", arXiv:2210.09381
I. Oleksiienko and A. Iosifidis, "Layer Ensembles", arXiv:2210.04882
A. Bakhtiarnia, Q. Zhang and A. Iosifidis, "Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training", arXiv:2208.07075
N. Li, A. Iosifidis and Q. Zhang, "Attention-based Feature Compression for CNN Inference Offloading in Edge Computing", arXiv:2211.13745
M. Magris, M. Shabani and A. Iosifidis, "Exact Manifold Gaussian Variational Bayes", arXiv:2210.14598
M. Magris, M. Shabani and A. Iosifidis, “Bayesian Bilinear Neural Network for predicting the mid-price dynamics in limit order book markets”, arXiv:2203.03613
E. Fons, P. Dawson, X.J. Zeng, J. Keane and A. Iosifidis, “Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation”, arXiv:2102.08310
E. Fons, P. Dawson, X.J. Zeng, J. Keane and A. Iosifidis, “Evaluating data augmentation for financial time series classification”, arXiv:2010.15111
Conference/Workshop papers
L. M. Hedegaard, A. Bakhtiarnia and A. Iosifidis, “Continual Transformers: Redundancy-Free Attention for Online Inference”, Advances in Neural Information Systems (NeurIPS) Workshop on Vision Transformers: Theory and Applications, 2022
E. Fons, A.Sztrajman Y. El-Laham A. Iosifidis, Svitlana Vytrenko, “HyperTime: Implicit Neural Representations for Time Series”, Advances in Neural Information Systems (NeurIPS) Workshop on Synthetic Data for Machine Learning, 2022
N. Heidari and A. Iosifidis, “Attention-Augmented ST-GCN for Efficient Skeleton-based Human Action Recognition”, NeurIPS 2022 Workshop Women in Machine Learning, 2022
A. Bakhtiarnia, N. Milosevic., Q. Zhang, D. Bajovic, and A. Iosifidis, “Dynamic Split Computing for Efficient Edge Intelligence”, International Conference on Machine Learning (ICML) Workshop on Dynamic Neural Networks, 2022
E. Fons, P. Dawson, X. Zeng J. Keane and A. Iosifidis, “Adaptive Weighting Scheme for Automatic Data Augmentation”, ACM International Conference on Artificial Intelligence in Finance – Workshop on Synthetic Data for AI in Finance, 2022
F. Laakom, J. Raitoharju, A. Iosifidis and M. Gabbouj, “Efficient CNN with uncorrelated Bag of Features pooling”, IEEE Symposium Series on Computational Intelligence, Singapore, Dec. 4-7, 2022
L. Hedegaard and A. Iosifidis, "Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch", International Workshop on Computational Aspects of Deep Learning (ECCV Workshop), Tel Aviv, Israel, October 23-27, 2022
L. Hedegaard and A. Iosifidis, "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos", European Conference on Computer Vision, Tel Aviv, Israel, October 23-27, 2022
N. Li, A. Iosifidis and Q. Zhang, "Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing", European Wireless, Dresden, Germany, September 23-27, 2022
A. Bakhtiarnia, B. Leporowski, L. Esterle and A. Iosifidis, "Analysis of the Effect of Low-Overhead Lossy Compression on the Performance of Visual Crowd Counting for Smart City Applications", IEEE Smart Cities Conference, Paphos, Cyprus, September 26-30, 2022
N. Li, A. Iosifidis and Q. Zhang, "Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing", IEEE Global Communications Conference, Rio De Janeiro, Brazil, December 4-8, 2022
N. Passalis, S. Pedrazzi, R. Babuska, W. Burgard, D. Dias, F. Ferro, M. Gabbouj, O. Green, A. Iosifidis, E. Kayacan, J. Kober, O. Michel, N. Nikolaidis, P. Nousi, R. Pieters, M. Tzelepi, A. Valada and A. Tefas, “OpenDR: An Open Toolkit for enabling high performance, low footprint Deep Learning for Robotics”, IEEE/RSJ International Conference on Intelligent Robots and Systems, Kyoto, Japan, October 23-27, 2022
K. Chumachenko, A. Iosifidis and M. Gabbouj, “Self-attention Neural Bag-of-Features”, IEEE International Workshop on Machine Learning for Signal Processing, Xi’an, China, August 22-25, 2022
A. Bakhtiarnia, N. Milosevic, Q. Zhang, D. Bajovic and A. Iosifidis, “Dynamic Split Computing for Efficient Deep Edge Intelligence”, ICML Workshop on Dynamic Neural Networks, 2022
F. Kakavandi, P. de Reus, C. Gomes, N. Heidari, A. Iosifidis, and P. G. Larsen, “Product Quality Control in Assembly Machine under Data Restricted Settings”, IEEE International Conference on Industrial Informatics, Perth, Australia, July 25-28, 2022
M. Shabani, D. T. Tran, M. Magris, J. Kanniainen and A. Iosifidis, “Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction”, European Signal Processing Conference, Belgrade, Serbia, Aug. 29 – Sep. 2, 2022
K. Chumachenko, A. Iosifidis and M. Gabbouj, “Weighted Edit Distance for Country Code Recognition in License Plates”, European Signal Processing Conference, Belgrade, Serbia, Aug. 29 – Sep. 2, 2022
J. Raitoharju and A. Iosifidis, "Generalized Reference Kernel for One-class Classification", INNS International Conference on Neural Networks, Padua, Italy, July 823, 2022
K. Chumachenko, A. Iosifidis and M. Gabbouj, “Self-attention fusion for audiovisual emotion recognition with incomplete data”, International Conference on Pattern Recognition, Montreal, Quebec, Canada, August 21-25, 2022
N. Li, A. Iosifidis and Q. Zhang, “Receptive-field based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing”, IEEE International Conference on Communications, Seoul, South Korea, May 16-20, 2022
N. Li, A. Iosifidis and Q. Zhang, “Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing”, IEEE International Conference on Communications, Seoul, South Korea, May 16-20, 2022
D.T. Tran, J. Kanniainen and A. Iosifidis, “How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective”, NeurIPS 2021 Workshop on Machine Learning meets Econometrics, 2021
A. Bakhtiarnia, Q. Zhang and A. Iosifidis, "Multi-Exit Vision Transformer for Dynamic Inference", British Machine Vision Conference, Online, November 22-25, 2021
F. Hvilshøj, A. Iosifidis and I. Assent, “ECINN: Efficient Counterfactuals from Invertible Neural Networks”, British Machine Vision Conference, Online, November 22-25, 2021
F. Laakom, K. Chumachenko, J. Raitoharju, A. Iosifidis and M. Gabbouj, “Learning to Ignore: Rethinking Attention in CNNs”, British Machine Vision Conference, Online, November 22-25, 2021
F. Laakom, J. Raitoharju, J. Nikkanen, A. Iosifidis and M. Gabbouj, "Robust channel-wise illumination estimation”, British Machine Vision Conference, Online, November 22-25, 2021
D. Bajovic, A. Bakhtiarnia, G. Bravos, A. Brutti, F. Burkhardt, D. Cauchi, A. Chazapis, C. Cianco, N. Dall’Asen, V. Delic, C. Dimou, D. Djokic, A. Escobar-Molero, L. Esterle, F. Eyben, E. Farella, T. Festi, A. Geromitsos, G. Giakoumakis, G. Hatzivasilis, S. Ioannidis, A. Iosifidis, Th. Kallipolitou, G. Kalogiannis, A. Kiousi, D. Kopanaki, M. Marazakis, S. Markpoulou, A. Muscat, F.Paissan, T. P. Lobo, D. Pavlovic, T. P. Raptis, E. Ricci, B. Saez, F. Sahito, K. Scerri, B. Schuller, N. Simic, G. Spanoudakis, A. Tomasi, A. Triantafyllopoulos, L. Valerio, J. Villazan, Y. Wang, A. Xuereb and J. Zammit, “MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments”, International Balkan Conference on Communications and Networking, Novi Sad, Serbia, September 20-22, 2021
N. Heidari and A. Iosifidis, “Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation”, IEEE International Workshop on Multimedia Signal Processing, Tampere, Finland, 2021
M. Seker, A. Mannisto, A. Iosifidis and J. Raitoharju, “Automatic Main Character Recognition for Photographic Studies”, IEEE International Workshop on Multimedia Signal Processing, Tampere, Finland, 2021
B. Leporowski, D. Tolla, C. Hansen and A. Iosifidis, “Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving”, 8th Changeable, Agile, Reconfigurable, and Virtual Production Conference, Virtual, 2021
F. Laakom, J. Raitoharju, A. Iosifidis and M. Gabbouj, "Within-layer Diversity Reduces Generalization Gap", International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible and Reliable Machine Learning, Virtual, 2021
K. Chumachenko, F. Laakom, J. Raitoharju, A. Iosifidis and M. Gabbouj, "Rethinking compactness in deep neural networks", International Conference on Machine Learning Workshop on Overparameterization, Virtual, 2021
T. Bottjer, G.Ø. Rønch, C. Gomes, D. Ramanujan, A. Iosifidis and P.G. Larsen, "Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds", 8th Changeable, Agile, Reconfigurable, and Virtual Production Conference, Virtual, 2021
M. Magris and A. Iosifidis, “Approximate Bayes factors for unit root testing”, International Association for Applied Econometrics Annual Conference, Rotterdam (virtual event), Netherlands, 2021
I. Oleksiienko and A. Iosifidis, “Analysis of Voxel-Based 3D Object Detection Methods Efficiency for Real-Time Embedded Systems”, IEEE International Conference on Emerging Techniques in Computational Intelligence, Hyderabad, (hybrid event), India, 2021
F. Laakom, J. Raitoharju, A. Iosifidis and M. Gabbouj, "On Feature Diversity in Energy-based models", International Conference on Learning Representations Workshop on Energy-Based Models, Virtual, 2021
N. Heidari and A. Iosifidis, “On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition”, International Joint Conference on Neural Networks, Virtual, 2021
A. Bakhtiaria, Q. Zhang and A. Iosifidis, "Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning", International Joint Conference on Neural Networks, Virtual, 2021
M. Soltanian, J. Malik, J. Raitoharju, A. Iosifidis, S. Kiranyaz and M. Gabbouj, “Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer”, International Joint Conference on Neural Networks, Virtual, 2021
F. Laakom, J. Raitoharju, A. Iosifidis, J. Nikkanen and M. Gabbouj, "Monte Carlo Dropout Ensembles for Robust Illumination Estimation", International Joint Conference on Neural Networks, Virtual, 2021
N. Heidari and A. Iosifidis, “Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition”, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario Canada (Online), 2021
E. Fons, P. Dawson, X.J. Zeng, J. Keane and A. Iosifidis, “Augmenting transferred representations for stock classification”, IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario Canada (Online), 2021
K. Chumachenko, J. Raitoharju, A. Iosifidis and M. Gabbouj, “Ensembling Object Detectors for Image and Video Data Analysis”, IEEE International Conference on on Acoustics, Speech and Signal Processing, Toronto, Ontario Canada (Online), 2021
A.H. Nielsen, A. Iosifidis and H. Karstoft, "Satellite-Derived Solar Irradiance Nowcasting using Spatiotemporal Deep Learning", 20th Conference on Artificial Intelligence for Environmental Science, Online, 2020
M. Krestenitis, N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas, “Human Action Recognition using Recurrent Bag-of-Features Pooling”, International Conference on Pattern Recognition Workshops: Workshop on High-dimensional Deep Learning, Milan Italy (online), 2020
N. Heidari and A. Iosifidis, “Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-based Human Action Recognition”, International Conference on Pattern Recognition, Milan, Italy (online), 2020
L.H. Morsing, O.A. Sheikh-Omar and A. Iosifidis, “Supervised Domain Adaptation using Graph Embedding”, International Conference on Pattern Recognition, Milan, Italy (online), 2020
D.T. Tran, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Data Normalization for Bilinear Structures in High-Frequency Financial Time-Series”, International Conference on Pattern Recognition, Milan, Italy (online), 2020
A. Senhaji, J. Raitoharju, M. Gabbouj and A. Iosifidis, “Not all domains are equally complex: Adaptive Multi-Domain Learning”, International Conference on Pattern Recognition, Milan, Italy (online), 2020
M. Shabani and A. Iosifidis, “Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting”, IEEE Symposium Series on Computational Intelligence, Canberra, Australia (online), 2020
D.T. Tran, M. Gabbouj and A. Iosifidis, “Performance Indicator in Multilinear Compressive Learning”, IEEE Symposium Series on Computational Intelligence, Canberra, Australia (online), 2020
A.H. Nielsen, A. Iosifidis and H. Karstoft, “CoudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds”, European Conference on Computer Vision Workshops: Multi-Modal Data Analysis (short paper), Edinburgh, United Kingdom (online), 2020
K. Chumachenko, A. Iosifidis and M. Gabbouj, “Robust Fast Subclass Discriminant Analysis”, European Signal Processing Conference, Amsterdam, the Netherlands (online) , 2020
N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas, “Robust Hypersphere-based Weight Imprinting for Few-shot Learning”, European Signal Processing Conference, Amsterdam, the Netherlands (online) , 2020
K. Chumachenko, J. Raitoharju, M. Gabbouj and A. Iosifidis, “Incremental Fast Subclass Discriminant Analysis”, IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates (online) , 2020
D.T. Tran, M. Gabbouj and A. Iosifidis, “Subset Sampling for Progressive Neural Network Learning”, IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates (online) , 2020
F. Laakom, J. Raitoharju, A. Iosifidis, U. Tuna, J. Nikkanen and M. Gabbouj, “Probabilistic Color Constancy”, IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates (online) , 2020
W.L. Sommer and A. Iosifidis, “Text-to-image synthesis method evaluation based on visual patterns”, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain (online) , 2020
N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Adaptive Normalization for Forecasting Limit Order Book Data using Convolutional Neural Networks”, IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain (online) , 2020
A.H. Nielsen, A. Wagner, A. Iosifidis and H. Karstoft, “Cloud Nowcasting using Deep Learning”, 19th Conference on Artificial Intelligence for Environmental Science, Boston, USA, 2020
F. Laakom, J. Raitoharju, A. Iosifidis, J. Nikkanen and M. Gabbouj, "Color Constancy Convolutional Autoencoder", IEEE Symposium Series on Computational Intelligence, Xiamen, China, 2019
C. Tzogka, N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas, "Less is more: Deep Learning using subjective annotations for sentiment analysis from social media", IEEE International Workshop on Machine Learning for Signal Processing, Pittsburgh, USA, 2019
J. Arje, D. Milioris, D.T. Tran, J.U. Jepsen, J. Raitoharju, M. Gabbouj, A. Iosifidis and T.T. Hoye, “Automatic Flower Detection and Classification System Uing a Light-Weight Convolutional Neural Network”, European Signal Processing Conference, Barcelona, Spain, 2019
G. Panagiotatos, N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas, “Curriculum-based Teacher Ensemble for Robust Neural Network Distillation”, European Signal Processing Conference, Barcelona, Spain, 2019
D.T. Tran, S. Kiranyaz, M. Gabbouj and A. Iosifidis, "Knowledge Transfer For Face Verification Using Heterogeneous Generalized Operational Perceptrons", IEEE International Conference on Image Processing, Taipei, Taiwan, 2019
N. Passalis, A. Tefas, A. Iosifidis and M. Gabbouj, "Class-based Variational Representation Learning for Robust Image Retrieval", IEEE International Conference on Image Processing, Taipei, Taiwan, 2019
D.T. Tran and A. Iosifidis, “Learning to Rank: A progressive neural network learning approach”, IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, U.K., 2019
N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Deep Temporal Logistic Bag-of-Features for Forecasting High Frequency Limit Order Book Time Series”, IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, U.K., 2019
D.T. Tran, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Data-driven Neural Architecture Learning for Financial Time-series Forecasting”, Digital Image and Signal Processing, Oxford, U.K. 2019
C. Gautam, A. Tiwari and A. Iosifidis, “Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification”, IEEE Symposium Series on Computational Intelligence, Bengaluru, India, 2018
D.T. Tran, T.T. Hoye, M. Gabbouj and A. Iosifidis, “Automatic Flower and Visitor Detection System”, European Signal Processing Conference, Rome, Italy, 2018
L. Xu, A. Iosifidis and M. Gabbouj, “Weighted Linear Discriminant Analysis based on Class Saliency Information”, IEEE International Conference on Image Processing, Athens, Greece, 2018
A. Muravev, D.T. Tran, A. Iosifidis, S. Kiranyaz and M. Gabbouj, “Acceleration approaches for big data analysis”, IEEE International Conference on Image Processing, Athens, Greece, 2018
F. Sohrab, J. Raitoharju, M. Gabbouj and A. Iosifidis, “Subspace Support Vector Data Description”, International Conference on Pattern Recognition, Beijing, China, 2018
I. Schiopu, M. Gabbouj, A. Iosifidis, B. Zeng and S. Liu, “Subaperture Image Segmentation for Lossless Compression”, International Conference on Image Processing, Tools and Applications, Montreal, Canada, 2017
D.T. Tran, M.A. Waris, M. Gabbouj and A. Iosifidis, “Sample-based regularization for Support Vector Machine Classification”, International Conference on Image Processing, Tools and Applications, Montreal, Canada, 2017
D.T. Tran, M. Magris, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Tensor Representation in High-Frequency Financial Data for Price Change Prediction”, IEEE Symposium Series on Computational Intelligence, Hawaii, USA, 2017
A. Tsantekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Using Deep Learning to Detect Price Change Indications in Financial Markets”, European Signal Processing Conference, Kos, Greece, 2017
N. Passalis, A. Tsantekidis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Time-series Classification using Neural Bag-of-Features”, European Signal Processing Conference, Kos, Greece, 2017
A. Muravev, E.C. Ozan, A. Iosifidis and M. Gabbouj, “Pyramid Encoding for Fast Additive Quantization”, European Signal Processing Conference, Kos, Greece, 2017
S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Generalized Model of Biological Neural Networks: Progrssive Operational Perceptrons”, INNS International Joint Conference on Neural Networks, Anchorage, Alaska, USA, 2017
A. Iosifidis and M. Gabbouj, “Class-Specific Kernel Discriminant Analysis based on Cholesky Decomposition”, INNS International Conference on Neural Networks, Alaska, USA, 2017
A. Tsentekidis, N. Passalis, A. Tefas, J. Kanniainen, M. Gabbouj and A. Iosifidis, “Forecasting Stock Prices from the Limit Order Book using Convolutional Neural Networks”, IEEE Conference on Business Informatics, Thessaloniki, Greece, 2017
J. Raitoharju, E. Riabchenko, K. Meissner, I. Ahmad, A. Iosifidis, M. Gabbouj and S. Kiranyaz, “Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates”, International Conference on Pattern Recognition, Cancun, Mexico, 2016
G. Cao, A. Iosifidis and M. Gabbouj, “Multi-modal Subspace Learning with Dropout regularization for Cross-modal Recognition and Retrieval”, IEEE/EURASIP International Conference on Image Processing Theory, Tools and Applications, Oulu, Finland, 2016
A. Iosifidis and M. Gabbouj, “Prototype-based Class-Specific Nonlinear Subspace Learning for Large-Scale Face Verification”, IEEE/EURASIP International Conference on Image Processing Theory, Tools and Applications, Oulu, Finland, 2016
A. Iosifidis and M. Gabbouj, “Hierarchical Class-Specific Kernel Discriminant Analysis for Face Verification”, IEEE Conference on Visual Communication and Image Processing, ChengDu, China, 2016
C. Aytekin, A. Iosifidis, S. Kiranyaz and M. Gabbouj, “Salient Object Segmentation based on Linearly Combined Affinity Graphs”, International Conference on Pattern Recognition, Cancun, Mexico, 2016
M. Waris, A. Iosifidis and M. Gabbouj, “Object Proposals using CNN-based edge filtering”, International Conference on Pattern Recognition, Cancun, Mexico, 2016
E. Riabchenko, K. Meissner, I. Ahmad, A. Iosifidis, V. Tirronen, G. Moncef and S. Kiranyaz, “Learned vs. Engineered Features for Fine-Grained Classification of Aquatic Macroinvertebrates”, International Conference on Pattern Recognition, Cancun, Mexico, 2016
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Laplacian One Class Extreme Learning Machine for Human Action Recognition”, IEEE International Workshop on Multimedia Signal Processing), Montreal, Canada, 2016
B. Kicanaoglu, A. Iosifidis and M. Gabbouj, “Maximum Margin Binary Classifiers using Intrinsic and Penalty graphs”, European Signal Processing Conference, Budapest, Hungary, 2016
A. Iosifidis and M. Gabbouj, “Graph-regularized Multi-class Support Vector Machines for Face and Action Recognition”, European Signal Processing Conference, Budapest, Hungary, 2016
A. Iosifidis, A. Tefas, I. Pitas and M. Gabbouj, “A review of approximate methods for kernel-based Big Media Data Analysis”, European Signal Processing Conference, Budapest, Hungary, 2016
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “One Class Classification applied in Facial Image Analysis”, IEEE International Conference on Image Processing, Arizona, USA, 2016
A. Iosifidis and M. Gabbouj, “Combining Multi-class Maximum Margin Classification with Linear Discriminant Analysis for Human Action Recognition”, IEEE International Conference on Image Processing, Arizona, USA, 2016
A. Iosifidis and M. Gabbouj, “Supervised Subspace Learning based on Deep Randomized Networks”, IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 2016
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Kernel Subclass Support Vector Description for Face and Human Action Recognition”, International Workshop on Sensing, Processing and Learning for Intelligent Machines, Aalborg, Denmark, 2016
A. Iosifidis, M. Gabbouj and P. Pekki, “Class-specific nonlinear projections using class-specific kernel spaces”, IEEE International Conference on Big Data Science and Engineering, Helsinki, Finland, 2015
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Large-scale classification by an Approximate Least Squares One-Class Support Vector Machine ensemble”, IEEE International Conference on Big Data Science and Engineering, Helsinki, Finland, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Nearest Class Vector Classification for Large-Scale Learning Problems”, IEEE International Conference on Big Data Science and Engineering, Helsinki, Finland, 2015
A. Iosifidis and M. Gabbouj, “A Bayesian Approach for Extreme Learning Machine-based Subspace Learning”, European Signal Processing Conference, Nice, France, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Class-specific nonlinear subspace learning based on optimized class representation”, European Signal Processing Conference, Nice, France, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Regularized Extreme Learning Machine for large-scale media content analysis”, INNS Conference on Big Data, San Francisco, USA, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Merging Linear Discriminant Analysis with Bag of Words model for Human Action Recognition”, IEEE International Conference on Image Processing, Quebec, Canada, 2015
A. Iosifidis, A Tefas and I. Pitas, “Large-scale nonlinear facial image classification based on Approximate Kernel Extreme Learning Machine”, IEEE International Conference on Image Processing, Quebec, Canada, 2015
F. Patrona, A. Iosifidis, A. Tefas, N. Nikolaidis and I. Pitas, “Visual Voice Activity Detection based on Spatiotemporal Information and Bag of Words”, IEEE International Conference on Image Processing, Quebec, Canada, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Enhancing Class Discrimination in Kernel Discriminant Analysis”, IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, 2015
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Exploiting subclass information in one-class support vector machine for video summarization”, IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Enhancing ELM-based facial image classification by exploiting multiple facial views”, International Conference on Computational Science, Reykjavic, Iceland, 2015
N. Tsapanos, A. Tefas, N. Nikolaidis, A. Iosifidis and I. Pitas, “Fast Kernel Matrix Computation for Big Data Clustering”, International Conference on Computational Science, Reykjavic, Iceland, 2015
A. Iosifidis, A. Tefas and I. Pitas, “Human Action Recognition based on Bag of Features and Multi-view Neural Networks”, IEEE International Conference on Image Processing, Paris, France, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Semi-supervised classification of human actions based on Neural Networks”, IEEE International Conference on Pattern Recognition, Stockholm, Sweden, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Minimum Variance Extreme Learning Machine for Human Action Recognition”, IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Human Action Recognition in Stereoscopic Videos based on Bag of Features and Disparity Pyramids”, European Signal Processing Conference, Lisbon, Portugal, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Exploiting Local Class Information in Extreme Learning Machine”, International Joint Conference on Computational Intelligence: International Conference on Neural Computation Theory and Applications, Rome, Italy, 2014
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Video summarization based on subclass Support Vector Data Description”, IEEE Symposium Series on Computational Intelligence: Computational Intelligence for Engineering Solutions, Orlando, Florida, 2014
I. Mademlis, A. Iosifidis, A. Tefas, N. Nikolaidis and I. Pitas, “Stereoscopic Video Description for Human Action Recognition”, IEEE Symposium Series on Computational Intelligence: Computational Intelligence for Multimedia, Signal and Vision Processing, Orlando, Florida, 2014
V. Mygdalis, A. Iosifidis, A. Tefas and I. Pitas, “Supervised video summarization by content-based video segment selection” (short), European Conference on Visual Media Production, London, U.K., 2014
A. Iosifidis, A. Tefas and I. Pitas, “Computational Intelligence Approaches for Digital Media Analysis and Description”, Euro-China Conference on Intelligent Data Analysis and Applications, Shenzhen, China, 2014
M. Ivasic-Kos, A. Iosifidis, A. Tefas and I. Pitas, “Person De-identification in Activity Videos”, IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija/Abbazia, Croatia, 2014
N. Kourous, A. Iosifidis, A. Tefas and I. Pitas, “Video Characterization based on Activity Clustering”, International Conference on Electrical and Computer Engineering, Dhaka, Bangladesh, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Multi-view Regularized Extreme Learning Machine for Human Action Recognition”, Conference on Artificial Intelligence: Methods and Applications, Ioannina, Greece, 2014
A. Iosifidis, A. Tefas and I. Pitas, “Active Classification for Human Action Recognition”, IEEE International Conference on Image Processing, Melbourne, Australia, 2013
A. Iosifidis, A. Tefas and I. Pitas, “Dynamic Action Classification based on Iterative Data Selection and Feedforward Neural Networks”, European Signal Processing Conference, Marrakech, Morocco, 2013
A. Iosifidis, A. Tefas and I. Pitas, “Person Identification from Actions based on Artificial Neural Networks”, IEEE Symposium Series on Computational Intelligence: Computational Intelligence in Biometrics and Identity Management, Singapore, 2013
A. Iosifidis, A. Tefas and I. Pitas, “View-independent Human Action Recognition based on Multi-view Action Images and Discriminant Learning”, IEEE Image, Video and Multidimensional Signal Processing: 3D Image/Video Technologies and Applications, Seoul, Korea, 2013
A. Iosifidis, A. Tefas and I. Pitas, “Person Identification from Actions based on Dynemes and Discriminant Learning”, IEEE International Workshop on Biometrics and Forensics, Lisbon, Portugal, 2013
A. Iosifidis, A. Tefas and I. Pitas, “Representative Class Vector Clustering based Discriminant Analysis”, IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Beijing, China, 2013
A. Iosifidis, A. Tefas and I. Pitas, “Multi-view human action recognition: a review”, IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Beijing, China, 2013
A. Tefas, A. Iosifidis and I. Pitas, “Neural Networks for Digital Media Analysis and Description”, International Conference on Engineering Applications of Neural Networks, Halkidiki, Greece, 2013
A. Iosifidis, A. Tefas and I. Pitas, "Discriminant Action Representation for View-Invariant Person Identification", IEEE International Conference on Image Processing, Florida, USA, 2012
A. Iosifidis, A. Tefas and I. Pitas, "Neural representation and learning for multi-view human action recognition", IEEE World Congress on Computational Intelligence: International Joint Conference on Neural Networks, Brisbane, Australia, 2012
A. Iosifidis, E. Marami, A. Tefas and I. Pitas, "Eating and Drinking activity recognition based on Discriminant Analysis of fuzzy distances and Activity Volumes", IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 2012
A. Iosifidis, A. Tefas and I. Pitas, "Multi-view Human Action Recognition under occlusion based on Fuzzy Distances and Neural Networks", European Signal Processing Conference, Bucharest, Romania, 2012
A. Iosifidis, A. Tefas and I. Pitas, "Person Specific Activity Recognition using Fuzzy Learning and Discriminant Analysis", European Signal Processing Conference, Barcelona, Spain, 2011
A. Iosifidis, A. Tefas, N. Nikolaidis and I. Pitas, "Learning Human Identity Using View-Invariant Multi-view Movement Representation", Biometrics & ID Management: COST 2101 International Workshop, Brandenburg, Germany, 2011
A. Iosifidis, N. Nikolaidis and I. Pitas, "Movement recognition exploiting multi-view information", IEEE International Workshop on Multimedia Signal Processing, Saint Malo, France, 2010
A. Iosifidis, S.G. Mouroutsos and A. Gasteratos, "Real-time Video Surveillance by a Hybrid Static/Active Camera Mechatronic System", IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Montreal, Canada, 2010
R. Kouskouridas, V. Belagiannis, A. Gasteratos, N. Kyriakoulis, D. Chrysostomou, A. Iosifidis, E. Karakasis, E. Badekas and S.G. Mouroutsos, "Intelligent Integrated Vision System for Indoor Robotics Applications", National & International Hellenic Society for Systemic Studies Conference, Xanthi, Greece, 2009
Abstracts in Conferences
A.H. Nielsen, H. Karstoft and A. Iosifidis, “Satellite-Derived Solar Irradiance Nowcasting using Spatiotemporal Deep Learning”, American Geophysical Union Fall Meeting, Online, 2020
H.M.R.Mann, J. Arje, A. Iosifidis and T.T. Hoye, “ Climate sensitivity of tundra plant-pollinator interactions tracked by computer vision”, Entomology, St. Louis, USA, 2019
J. Arje, A. Iosifidis, K. Meissner, J. Raitoharju, S.A. Madsen, M.R. Jeppesen, C. Melvad, V. Tirronen, T.T. Hoye, “Automatic identification of arctic arthropods”, Entomology, St. Louis, USA, 2019
J. Arje, S. Kärkkäinen, K. Meissner, J. Raitoharju, A. Iosifidis, M. Gabbouj, V. Tirronen and S. Kiranyaz, (Poster) “Do humans and machines think alike? – A study in the logic of benthic macroinvertebrate taxa identification”, International Statistical Ecology Conference, Edinburgh, U.K., 2018
T.T. Hoye, A. Iosifidis and O. Hansen, “Image-based monitoring of Arctic anthropods”, Arctic Biodiversity Congress, Rovaniemi, Finland, 2018
M. Magris, A. Ntakaris, J. Kanniainen, A. Iosifidis and M. Gabbouj, (Presentation) “Analysis of high-frequency order flow dynamics with machine learning techniques”, International Conference on Computational and Financial Econometrics, Seville, Spain, 2016