Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure J Zrimec, CS Börlin, F Buric, AS Muhammad, R Chen, V Siewers, ... Nature communications 11 (1), 6141, 2020 | 124 | 2020 |
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ... Journal of Manufacturing Systems 55, 143-158, 2020 | 64 | 2020 |
Controlling gene expression with deep generative design of regulatory DNA J Zrimec, X Fu, AS Muhammad, C Skrekas, V Jauniskis, NK Speicher, ... Nature communications 13 (1), 5099, 2022 | 48 | 2022 |
Competitive group testing and learning hidden vertex covers with minimum adaptivity P Damaschke, A Sheikh Muhammad Discrete Mathematics, Algorithms and Applications 2 (03), 291-311, 2010 | 46 | 2010 |
Data-driven algorithm for throughput bottleneck analysis of production systems M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, ... Production & Manufacturing Research 6 (1), 225-246, 2018 | 41 | 2018 |
Artificial intelligence for throughput bottleneck analysis–State-of-the-art and future directions M Subramaniyan, A Skoogh, J Bokrantz, MA Sheikh, M Thürer, Q Chang Journal of Manufacturing Systems 60, 734-751, 2021 | 38 | 2021 |
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ... Computers & Industrial Engineering 150, 106851, 2020 | 34 | 2020 |
Bayesian optimization in ab initio nuclear physics A Ekström, C Forssén, C Dimitrakakis, D Dubhashi, HT Johansson, ... Journal of Physics G: Nuclear and Particle Physics 46 (9), 095101, 2019 | 30 | 2019 |
Randomized group testing both query-optimal and minimal adaptive P Damaschke, A Sheikh Muhammad SOFSEM 2012: Theory and Practice of Computer Science, 214-225, 2012 | 28 | 2012 |
Bounds for nonadaptive group tests to estimate the amount of defectives P Damaschke, A Sheikh Muhammad Combinatorial Optimization and Applications, 117-130, 2010 | 26 | 2010 |
Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network A Sheikh Muhammad, ZA Mansoor, MS Mughal, S Mohsin Computer Graphics, Imaging and Visualisation, 2007. CGIV'07, 414-418, 2007 | 24* | 2007 |
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, ET Bekar Journal of Manufacturing Systems 53, 271-281, 2019 | 23 | 2019 |
On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US S Candefjord, AS Muhammad, P Bangalore, R Buendia Journal of Transport & Health 22, 101124, 2021 | 18 | 2021 |
Strict Group Testing and the Set Basis Problem P Damaschke, AS Muhammad, G Wiener Journal of Combinatorial Theory, Series A, 2014 | 17 | 2014 |
Two new perspectives on multi-stage group testing P Damaschke, A Sheikh Muhammad, E Triesch Algorithmica 67 (3), 324-354, 2013 | 17 | 2013 |
Competitive group testing and learning hidden vertex covers with minimum adaptivity P Damaschke, A Sheikh Muhammad Proceedings of the 17th international conference on Fundamentals of …, 2009 | 12 | 2009 |
Exploiting frame-semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages SM Virk, AS Muhammad, L Borin, MI Aslam, S Iqbal, N Khurram Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 11 | 2019 |
Summarizing online user reviews using bicliques AS Muhammad, P Damaschke, O Mogren SOFSEM 2016: Theory and Practice of Computer Science: 42nd International …, 2016 | 10 | 2016 |
An improvement over template matching using k-means algorithm for printed cursive script recognition TK Khan, A Shiekh Muhammad, S Mohsin Proceedings of the 4th IASTED International Conference on Signal Processing …, 2007 | 9 | 2007 |
Machine learning-based investigation of the cancer protein secretory pathway R Saghaleyni, A Sheikh Muhammad, P Bangalore, J Nielsen, ... PLoS Computational Biology 17 (4), e1008898, 2021 | 8 | 2021 |