Visualizations relevant to the user by multi-view latent variable factorization. - Seppo Virtanen; Homayun Afrabandpey; Samuel Kaski (ICASSP, 2016)

Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (CoRR, 2016)

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (UMAP, 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)

Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification. - Javad Salimi Sartakhti; Homayun Afrabandpey; Mohamad Saraee (Soft Comput., 2017)

An EM based probabilistic two-dimensional CCA with application to face recognition. - Mehran Safayani; Seyed Hashem Ahmadi; Homayun Afrabandpey; Abdolreza Mirzaei (Appl. Intell., 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 003; Baris Serim; Aki S. Havulinna; Caroline Heckman; Giulio Jacucci; et al. (Bioinform., 2018)

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (IJCAI, 2019)

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (CoRR, 2019)

Fuzzy least squares twin support vector machines. - Javad Salimi Sartakhti; Homayun Afrabandpey; Nasser Ghadiri (Eng. Appl. Artif. Intell., 2019)

A decision-theoretic approach for model interpretability in Bayesian framework. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (Mach. Learn., 2020)

Methods for probabilistic modeling of knowledge elicitation for improving machine learning predictions. - Homayun Afrabandpey (2020)

Modeling Risky Choices in Unknown Environments. - Ville Tanskanen; Chang Rajani; Homayun Afrabandpey; Aini Putkonen; Aurélien Nioche; Arto Klami (ACML, 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 (ICIP, 2021)

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 (ICIP, 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 (VCIP, 2022)

Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints. - Homayun Afrabandpey; Michael Spranger (CoRR, 2022)

P2U: Progressive Precision Update For Efficient Model Distribution. - Homayun Afrabandpey; Hamed Rezazadegan Tavakoli (CoRR, 2025)