Publications

H. Afrabandpey, A. Aminlou, H.R. Tavakoli, H. Zhang, M. M. Hannuksela
“Dimensionality reduction of neural networks intermediate feature maps using two-dimensional principal component analysis”
US Patent Application 19/350, 801, 2026
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H. Afrabandpey, H.R. Tavakoli, F. Criri, H. Zhang, G. Rangu
“Predictive and residual coding of sparse signals for weight update compression”
US Patent 12382061B2, 2025
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S. Gul, H. Afrabandpey, S. Ahsan, H.R. Tavakoli, I. D. D. Curcio, G. K. Illahi
“Incremental machine learning model deployment”
US Patent Application 18/939, 097, 2025
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H. Afrabandpey, H.R. Tavakoli, F. Criri, H. Zhang, G. Rangu, E. B. Aksu
“Implementation aspects of predictive residual encoding in neural networks compression”
US Patent Application 18/133, 031, 2023
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H. Zhang, H.R. Tavakoli, F. Criri, H. Afrabandpey, G. Rangu, E. B. Aksu
“Compression framework for distributed or federated learning with predictive compression paradigm”
US Patent Application 17/717, 729, 2022
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H. Afrabandpey, H. R. Tavakoli
“P2U: progressive precision update for efficient model distribution”
IEEE Transactions on Multimedia, 28, 2025
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H. Afrabandpey, T. Peltola, J. Piironen, A. Vehtari, S. Kaski
“A decision-theoretic approach for model interpretability in Bayesian framework”
Machine learning, 109(9), 2020
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J.S. Sartakhti, H. Afrabandpey, N. Ghadiri
“Fuzzy Least squares twin support vector machines”
Engineering Applications of Artificial Intelligence, 85, 2019
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I. Sundin, T. Peltola, L. Micallef, H. Afrabandpey, M. Soare, M. Mamun Majumder, P. Daee, C. He, B. Serim, A. Havulinna, C. Heckman, G. Jacucci, P. Martinnen, S. Kaski
“Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge”
Bioinformatics, 2018
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M. Safayani, S.H. Ahmadi, H. Afrabandpey, A. Mirzaei
“An EM based probabilistic two-dimensional CCA with application to face recognition”
Applied Intelligence, 2018
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J.S. Sartakhti, H. Afrabandpey, M. Saraee
“Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification”
Soft Computing, 2017
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H. Afrabandpey, G. Rangu, H. Zhang, F. Criri, E. Aksu, H.R. Tavakoli
“On the importance of temporal dependencies of weight updates in communication efficient federated learning”
IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022
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R. Goutham, H. Afrabandpey, F. Cricri, H. Zhang, E. Aksu, M. Hannuksela, H.R. Tavakoli
“Stochastic Binary-Ternary quantization for communication efficient federated computation”
IEEE International Conference on Image Processing (ICIP), 2022
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V. Tanskanen, C. Rajani, H. Afrabandpey, A. Putkonen, A. Nioche, A. Klami
“Modeling Risky Choices in Unknown Environments”
Proceedings of the 13th Asian Conference on Machine Learning (ACML), 2021
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H. Afrabandpey, A. Muravev, H.R. Tavakoli, H. Zhang, F. Cricri, M. Gabbouj, E. Aksu
“Mind the structure: Adopting structural information for deep neural network compression”
IEEE International Conference on Image Processing (ICIP), 2021
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H. Afrabandpey, T. Peltola, S. Kaski
“Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets”
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
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H. Afrabandpey, T. Peltola, S. Kaski
“Interactive prior elicitation of feature similarities for small sample size prediction”
Proceedings of the 25th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2017
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S. Virtanen, H. Afrabandpey, S. Kaski
“Visualizations relevant to the user by multi-view latent variable factorization”
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
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H. Afrabandpey, M. Safayani, A. Mirzaei
“Probabilistic two-dimensional canonical correlation analysis for face recognition”
IEEE International Conference on Computer and Knowledge Engineering (ICCKE), 2014
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H. Afrabandpey, M. Ghaffari, A. Mirzaei, M. Safayani
“A novel bat algorithm based on chaos for optimization tasks”
IEEE Iranian conference on intelligent systems (ICIS), 2014
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H. Afrabandpey, M. Spranger
“Feasible and desirable counterfactual generation by preserving human defined constraints”
NeurIPS Workshop on Human-in-the-Loop Learning (HiLL), 2022
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