Suleiman A. Khan

According to our database, Suleiman A. Khan authored at least 18 papers between 2012 and 2023.

Collaborative distances:

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

2023

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

CoRR, 2023

RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs.

Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022

Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.

Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation.

Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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

2018

Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach.

Mehreen Ali, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio

Bioinform., 2018

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

Convex Factorization Machine for Toxicogenomics Prediction.

Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Bayesian multi-tensor factorization.

Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski

Mach. Learn., 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

2015

Bayesian multi-view models for data-driven drug response analysis.

Suleiman A. Khan

PhD thesis, 2015

2014

Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.

Suleiman A. Khan, Seppo Virtanen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski

Bioinform., 2014

Bayesian Multi-view Tensor Factorization.

Suleiman A. Khan, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Kernelized Bayesian Matrix Factorization.

Mehmet Gönen, Suleiman A. Khan, Samuel Kaski

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Bayesian Group Factor Analysis.

Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs.

Suleiman A. Khan, Ali Faisal, John Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli-P. Kallioniemi, Krister Wennerberg, Samuel Kaski

BMC Bioinform., 2012

Scalable Similarity Matching in Streaming Time Series.

Alice Marascu, Suleiman A. Khan, Themis Palpanas

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012