Muhammad Ammad-ud-din

17 papers A 2C 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits. Trans. Recomm. Syst. Waqar Ali, Muhammad Ammad-ud-din, Xiangmin Zhou, Yan Zhang, Jie Shao
2021	A	`conf`	A Payload Optimization Method for Federated Recommender Systems. RecSys Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
2021	J	`jnl`	A Payload Optimization Method for Federated Recommender Systems. CoRR Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din
2020	—	`conf`	Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2020	J	`jnl`	Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din
2019	J	`jnl`	Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan
2017	J	`jnl`	GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis. J. Mach. Learn. Res. Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
2017	A	`conf`	Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. IUI Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2017	—	`—`	Machine learning methods for improving drug response prediction in cancer. Muhammad Ammad-ud-din
2017	J	`jnl`	Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression. Bioinform. Muhammad Ammad-ud-din, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio
2016	J	`jnl`	Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization. CoRR Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski
2016	J	`jnl`	Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization. Bioinform. Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski
2016	J	`jnl`	GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis. CoRR Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
2016	J	`jnl`	Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. CoRR Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2016	J	`jnl`	Regression with n$\to$1 by Expert Knowledge Elicitation. CoRR Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski
2016	C	`conf`	Regression with n→1 by Expert Knowledge Elicitation. ICMLA Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski
2014	J	`jnl`	Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization. J. Chem. Inf. Model. Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski