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Homayun Afrabandpey
Homayun Afrabandpey
Senior Scientist, Nokia Technologies
Verified email at nokia.com - Homepage
Title
Cited by
Cited by
Year
A novel bat algorithm based on chaos for optimization tasks
H Afrabandpey, M Ghaffari, A Mirzaei, M Safayani
2014 Iranian conference on intelligent systems (ICIS), 1-6, 2014
572014
Fuzzy Least squares twin support vector machines
JS Sartakhti, H Afrabandpey, N Ghadiri
Engineering Applications of Artificial Intelligence 85, 402-409, 2019
512019
Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification
JS Sartakhti, H Afrabandpey, M Saraee
Soft Computing 21, 4361-4373, 2017
362017
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
I Sundin, T Peltola, L Micallef, H Afrabandpey, M Soare, ...
Bioinformatics 34 (13), i395-i403, 2018
21*2018
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
H Afrabandpey, T Peltola, S Kaski
Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017
18*2017
A decision-theoretic approach for model interpretability in Bayesian framework
H Afrabandpey, T Peltola, J Piironen, A Vehtari, S Kaski
Machine learning 109 (9), 1855-1876, 2020
17*2020
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
H Afrabandpey, T Peltola, S Kaski
28th International Joint Conference on Artificial Intelligence (IJCAI), 1959 …, 2019
92019
An EM based probabilistic two-dimensional CCA with application to face recognition
M Safayani, SH Ahmadi, H Afrabandpey, A Mirzaei
Applied Intelligence 48, 755-770, 2018
52018
Probabilistic two-dimensional canonical correlation analysis for face recognition
H Afrabandpey, M Safayani, A Mirzaei
2014 4th International Conference on Computer and Knowledge Engineering …, 2014
42014
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
H Afrabandpey, M Spranger
NeurIPS Workshop on Human-in-the-Loop Learning (HiLL), 2022
22022
Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation
R Goutham, H Afrabandpey, F Cricri, H Zhang, E Aksu, M Hannuksela, ...
2022 IEEE International Conference on Image Processing (ICIP), 2097-2101, 2022
12022
Modeling Risky Choices in Unknown Environments
V Tanskanen, C Rajani, H Afrabandpey, A Putkonen, A Nioche, A Klami
Asian Conference on Machine Learning, 1081-1096, 2021
12021
Mind the structure: adopting structural information for deep neural network compression
H Afrabandpey, A Muravev, H Rezazadegan Tavakoli, H Zhang, F Cricri, ...
28th IEEE International Conference on Image Processing (ICIP), 3532-3536, 2021
12021
Implementation Aspects Of Predictive Residual Encoding In Neural Networks Compression
H Afrabandpey, HR Tavakoli, F Cricri, H Zhang, G Rangu, EB Aksu
US Patent App. 18/133,031, 2023
2023
Predictive and Residual Coding of Sparse Signals for Weight Update Compression
H Afrabandpey, HR Tavakoli, F Cricrì, H Zhang, G Rangu
US Patent App. 18/097,579, 2023
2023
On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning
H Afrabandpey, G Rangu, H Zhang, F Criri, E Aksu, HR Tavakoli
2022 IEEE International Conference on Visual Communications and Image …, 2022
2022
Compression Framework for Distributed or Federated Learning with Predictive Compression Paradigm
H Zhang, HR Tavakoli, F Cricri, H Afrabandpey, G Rangu, EB Aksu
US Patent App. 17/717,729, 2022
2022
Methods for probabilistic modeling of knowledge elicitation for improving machine learning predictions
H Afrabandpey
Aalto University, 2020
2020
Visualizations relevant to the user by multi-view latent variable factorization
S Virtanen, H Afrabandpey, S Kaski
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
2016
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Articles 1–19