| 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 | 59 | 2014 |
| Fuzzy Least squares twin support vector machines JS Sartakhti, H Afrabandpey, N Ghadiri Engineering Applications of Artificial Intelligence 85, 402-409, 2019 | 52 | 2019 |
| 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 | 39 | 2017 |
| 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 | 24* | 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 | 19* | 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 | 18* | 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 | 9 | 2019 |
| 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 | 5 | 2018 |
| 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 | 4 | 2014 |
| Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints H Afrabandpey, M Spranger NeurIPS Workshop on Human-in-the-Loop Learning (HiLL), 2022 | 2 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 |
| MPEG NNR compressed bias update for the CNN based post-filter of EE1-1.1 M Santamaria, J Lainema, F Cricri, RG Youvalari, H Zhang, A Zare, ... document JVET-X0111, 2021 | | 2021 |
| 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 |
Samuel KaskiProfessor, Aalto University and University of Manchester在 aalto.fi 的电子邮件经过验证
