Homayun Afrabandpey
Homayun Afrabandpey
Senior Scientist, Nokia Technologies
Verified email at nokia.com - Homepage
Cited by
Cited by
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
Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification
JS Sartakhti, H Afrabandpey, M Saraee
Soft Computing 21 (15), 4361-4373, 2017
Fuzzy Least squares twin support vector machines
JS Sartakhti, H Afrabandpey, N Ghadiri
Engineering Applications of Artificial Intelligence 85, 402-409, 2019
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
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
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
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
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
An EM based probabilistic two-dimensional CCA with application to face recognition
M Safayani, SH Ahmadi, H Afrabandpey, A Mirzaei
Applied Intelligence 48 (3), 755-770, 2018
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
Methods for probabilistic modeling of knowledge elicitation for improving machine learning predictions
H Afrabandpey
Aalto University, 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
Ask the doctor–Improving drug sensitivity predictions through active expert knowledge elicitation
I Sundin, T Peltola, MM Majumder, P Daee, M Soare, H Afrabandpey, ...
Expert knowledge elicitation for interactive improvement of machine learning models
I Sundin, P Daee, H Afrabandpey, T Peltola, M Soare
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