Suleiman A. Khan

24 papers A* 1A 1Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction.
EMNLP (Industry Track)
Bryan Zhang, Suleiman A. Khan, Stephan Walter
2025 J jnl
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning.
CoRR
Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas
2024 J jnl
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation.
CoRR
Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi
2024 J jnl
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation.
CoRR
Muhammad Irfan Khan, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi
2023 — conf
RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs.
FMEC
Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi
2023 J jnl
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.
CoRR
Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi
2022 — conf
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.
BrainLes@MICCAI (2)
Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi
2021 — conf
Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan
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
2018 J jnl
Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach.
Bioinform.
Mehreen Ali, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio
2017 A* conf
Convex Factorization Machine for Toxicogenomics Prediction.
KDD
Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
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
Bayesian multi-tensor factorization.
Mach. Learn.
Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski
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
2015 — —
Bayesian multi-view models for data-driven drug response analysis.
Suleiman A. Khan
2014 — conf
Bayesian Multi-view Tensor Factorization.
ECML/PKDD (1)
Suleiman A. Khan, Samuel Kaski
2014 J jnl
Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis.
Bioinform.
Suleiman A. Khan, Seppo Virtanen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
2013 — conf
Kernelized Bayesian Matrix Factorization.
ICML (3)
Mehmet Gönen, Suleiman A. Khan, Samuel Kaski
2012 A conf
Bayesian Group Factor Analysis.
AISTATS
Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski
2012 J jnl
Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs.
BMC Bioinform.
Suleiman A. Khan, Ali Faisal, John Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli-P. Kallioniemi, Krister Wennerberg, Samuel Kaski
2012 — conf
Scalable Similarity Matching in Streaming Time Series.
PAKDD (2)
Alice Marascu, Suleiman A. Khan, Themis Palpanas