Homayun Afrabandpey

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 18

Top Topics

Bayesian Framework

Small Sample Size

Expert Knowledge

Simulated Annealing

Top Venues

Publications

Homayun Afrabandpey, Michael Spranger
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints. CoRR (2022)
Homayun Afrabandpey, Rangu Goutham, Honglei Zhang, Francesco Criri, Emre Aksu, Hamed R. Tavakoli
On the Importance of Temporal Dependencies of Weight Updates in Communication Efficient Federated Learning. VCIP (2022)
Rangu Goutham, Homayun Afrabandpey, Francesco Cricri, Honglei Zhang, Emre Aksu, Miska M. Hannuksela, Hamed R. Tavakoli
Stochastic Binary-Ternary Quantization for Communication Efficient Federated Computation. ICIP (2022)
Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami
Modeling Risky Choices in Unknown Environments. ACML (2021)
Homayun Afrabandpey, Anton Muravev, Hamed R. Tavakoli, Honglei Zhang, Francesco Cricri, Moncef Gabbouj, Emre Aksu
Mind The Structure: Adopting Structural Information For Deep Neural Network Compression. ICIP (2021)
Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
A decision-theoretic approach for model interpretability in Bayesian framework. Mach. Learn. 109 (9-10) (2020)
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. CoRR (2019)
Javad Salimi Sartakhti, Homayun Afrabandpey, Nasser Ghadiri
Fuzzy least squares twin support vector machines. Eng. Appl. Artif. Intell. 85 (2019)
Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. CoRR (2019)
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. IJCAI (2019)
Mehran Safayani, Seyed Hashem Ahmadi, Homayun Afrabandpey, Abdolreza Mirzaei
An EM based probabilistic two-dimensional CCA with application to face recognition. Appl. Intell. 48 (3) (2018)
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
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinform. 34 (13) (2018)
Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. CoRR (2017)
Mehran Safayani, Seyed Hashem Ahmadi, Homayun Afrabandpey, Abdolreza Mirzaei
An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition. CoRR (2017)
Javad Salimi Sartakhti, Homayun Afrabandpey, Mohamad Saraee
Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification. Soft Comput. 21 (15) (2017)
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. UMAP (2017)
Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction. CoRR (2016)
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
Visualizations relevant to the user by multi-view latent variable factorization. ICASSP (2016)
Javad Salimi Sartakhti, Nasser Ghadiri, Homayun Afrabandpey
Fuzzy Least Squares Twin Support Vector Machines. CoRR (2015)
Seppo Virtanen, Homayun Afrabandpey, Samuel Kaski
Visualizations Relevant to The User By Multi-View Latent Variable Factorization. CoRR (2015)