Muhammad Ammad-ud-din

According to our database, Muhammad Ammad-ud-din authored at least 11 papers between 2014 and 2021.

Collaborative distances:

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

2021

A Payload Optimization Method for Federated Recommender Systems.

Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Federated Multi-view Matrix Factorization for Personalized Recommendations.

Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.

Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan

CoRR, 2019

2017

Machine learning methods for improving drug response prediction in cancer.

Muhammad Ammad-ud-din

PhD thesis, 2017

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis.

Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski

J. Mach. Learn. Res., 2017

Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression.

Muhammad Ammad-ud-din, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio

Bioinform., 2017

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.

Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

2016

Regression with n$\to$1 by Expert Knowledge Elicitation.

Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski

CoRR, 2016

Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization.

Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski

Bioinform., 2016

Regression with n→1 by Expert Knowledge Elicitation.

Marta Soare, Muhammad Ammad-ud-din, Samuel Kaski

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization.

Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski

J. Chem. Inf. Model., 2014