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ORCIDSuleiman A. Khan
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2020 – today
- 2023
[c9]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs. FMEC 2023: 101-106- [i5]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio
, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. CoRR abs/2301.12617 (2023) - [i4]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation. CoRR abs/2308.00856 (2023) - 2022
- [c8]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. BrainLes@MICCAI (2) 2022: 121-132 - 2021
- [c7]Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan:
Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 455-469 - 2020
- [c6]Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. ECML/PKDD (2) 2020: 324-347 - [i3]Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-ud-din:
Federated Multi-view Matrix Factorization for Personalized Recommendations. CoRR abs/2004.04256 (2020)
2010 – 2019
- 2019
- [i2]Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan:
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System. CoRR abs/1901.09888 (2019) - 2018
- [j6]Mehreen Ali, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio:
Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach. Bioinform. 34(8): 1353-1362 (2018) - 2017
- [j5]Muhammad Ammad-ud-din, Suleiman A. Khan, Krister Wennerberg, Tero Aittokallio:
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression. Bioinform. 33(14): i359-i368 (2017) - [c5]Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang:
Convex Factorization Machine for Toxicogenomics Prediction. KDD 2017: 1215-1224 - 2016
- [j4]Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski:
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization. Bioinform. 32(17): 455-463 (2016) - [j3]Suleiman A. Khan, Eemeli Leppäaho, Samuel Kaski:
Bayesian multi-tensor factorization. Mach. Learn. 105(2): 233-253 (2016) - [i1]Muhammad Ammad-ud-din, Suleiman A. Khan, Disha Malani, Astrid Murumägi, Olli-P. Kallioniemi, Tero Aittokallio, Samuel Kaski:
Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization. CoRR abs/1606.03623 (2016) - 2015
- [b1]Suleiman A. Khan:
Bayesian multi-view models for data-driven drug response analysis. Aalto University, Helsinki, Finland, 2015 - 2014
- [j2]Suleiman A. Khan, Seppo Virtanen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski:
Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis. Bioinform. 30(17): 497-504 (2014) - [c4]Suleiman A. Khan, Samuel Kaski:
Bayesian Multi-view Tensor Factorization. ECML/PKDD (1) 2014: 656-671 - 2013
- [c3]Mehmet Gönen, Suleiman A. Khan, Samuel Kaski:
Kernelized Bayesian Matrix Factorization. ICML (3) 2013: 864-872 - 2012
- [j1]Suleiman A. Khan, Ali Faisal, John Mpindi, Juuso A. Parkkinen, Tuomo Kalliokoski, Antti Poso, Olli-P. Kallioniemi, Krister Wennerberg, Samuel Kaski:
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. 13: 112 (2012) - [c2]Alice Marascu, Suleiman A. Khan, Themis Palpanas:
Scalable Similarity Matching in Streaming Time Series. PAKDD (2) 2012: 218-230 - [c1]Seppo Virtanen, Arto Klami, Suleiman A. Khan, Samuel Kaski:
Bayesian Group Factor Analysis. AISTATS 2012: 1269-1277
Coauthor Index
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