Homayun Afrabandpey

According to our database, Homayun Afrabandpey authored at least 17 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints.

Homayun Afrabandpey, Michael Spranger

CoRR, 2022

On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning.

Homayun Afrabandpey, Rangu Goutham, Honglei Zhang, Francesco Criri, Emre Aksu, Hamed R. Tavakoli

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation.

Rangu Goutham, Homayun Afrabandpey, Francesco Cricri, Honglei Zhang, Emre Aksu, Miska M. Hannuksela, Hamed R. Tavakoli

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Mind The Structure: Adopting Structural Information For Deep Neural Network Compression.

Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Modeling Risky Choices in Unknown Environments.

Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Methods for probabilistic modeling of knowledge elicitation for improving machine learning predictions.

Homayun Afrabandpey

PhD thesis, 2020

A decision-theoretic approach for model interpretability in Bayesian framework.

Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski

Mach. Learn., 2020

2019

Fuzzy least squares twin support vector machines.

Javad Salimi Sartakhti, Homayun Afrabandpey, Nasser Ghadiri

Eng. Appl. Artif. Intell., 2019

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach.

Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski

CoRR, 2019

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.

Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski

Bioinform., 2018

An EM based probabilistic two-dimensional CCA with application to face recognition.

Mehran Safayani, Seyed Hashem Ahmadi, Homayun Afrabandpey, Abdolreza Mirzaei

Appl. Intell., 2018

2017

Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification.

Javad Salimi Sartakhti, Homayun Afrabandpey, Mohamad Saraee

Soft Comput., 2017

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.

Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen

CoRR, 2017

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction.

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

CoRR, 2016

Visualizations relevant to the user by multi-view latent variable factorization.

Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016