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ORCIDAzam Sheikh Muhammad
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Books and Theses
- 2013
[b1]Azam Sheikh Muhammad:
New Constructions for Competitive and Minimal-Adaptive Group Testing. Chalmers University of Technology, Gothenburg, Sweden, 2013
Journal Articles
- 2021
- [j6]Rasool Saghaleyni
, Azam Sheikh Muhammad, Pramod Bangalore, Jens Nielsen, Jonathan L. Robinson:
Machine learning-based investigation of the cancer protein secretory pathway. PLoS Comput. Biol. 17(4) (2021) - 2020
- [j5]Mukund Subramaniyan, Anders Skoogh, Azam Sheikh Muhammad, Jon Bokrantz, Björn Johansson, Christoph Roser:
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective. Comput. Ind. Eng. 150: 106851 (2020) - 2014
- [j4]Peter Damaschke, Azam Sheikh Muhammad, Gábor Wiener:
Strict group testing and the set basis problem. J. Comb. Theory A 126: 70-91 (2014) - 2013
- [j3]Peter Damaschke, Azam Sheikh Muhammad, Eberhard Triesch:
Two New Perspectives on Multi-Stage Group Testing. Algorithmica 67(3): 324-354 (2013) - 2011
- [j2]Peter Damaschke, Azam Sheikh Muhammad:
Bounds for Nonadaptive Group Tests to estimate the Amount of Defectives. Discret. Math. Algorithms Appl. 3(4): 517-536 (2011) - 2010
- [j1]Peter Damaschke, Azam Sheikh Muhammad:
Competitive Group Testing and Learning Hidden Vertex Covers with Minimum Adaptivity. Discret. Math. Algorithms Appl. 2(3): 291-312 (2010)
Conference and Workshop Papers
- 2021
- [c12]Eva Lendaro, Ebrahim Balouji, Karen Baca, Azam Sheikh Muhammad, Max Ortiz-Catalan:
Common Spatial Pattern EEG decomposition for Phantom Limb Pain detection. EMBC 2021: 726-729 - [c11]Shafqat Mumtaz Virk, Dana Dannélls, Azam Sheikh Muhammad:
A Novel Machine Learning Based Approach for Post-OCR Error Detection. RANLP 2021: 1463-1470 - [c10]Shafqat Mumtaz Virk, Daniel Foster, Azam Sheikh Muhammad, Raheela Saleem:
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars. RANLP 2021: 1480-1489 - 2020
- [c9]Muddsair Sharif, Charitha Buddhika Heendeniya, Azam Sheikh Muhammad, Gero Lückemeyer:
Context-Aware Optimal Charging Distribution using Deep Reinforcement Learning. BDIOT 2020: 64-68 - 2019
- [c8]Shafqat Mumtaz Virk, Azam Sheikh Muhammad, Lars Borin, Muhammad Irfan Aslam, Saania Iqbal, Nazia Khurram:
Exploiting Frame-Semantics and Frame-Semantic Parsing for Automatic Extraction of Typological Information from Descriptive Grammars of Natural Languages. RANLP 2019: 1247-1256 - 2016
- [c7]Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren:
Summarizing Online User Reviews Using Bicliques. SOFSEM 2016: 569-579 - 2013
- [c6]Peter Damaschke, Azam Sheikh Muhammad:
A Toolbox for Provably Optimal Multistage Strict Group Testing Strategies. COCOON 2013: 446-457 - 2012
- [c5]Peter Damaschke, Azam Sheikh Muhammad:
Randomized Group Testing Both Query-Optimal and Minimal Adaptive. SOFSEM 2012: 214-225 - 2010
- [c4]Peter Damaschke, Azam Sheikh Muhammad:
Bounds for Nonadaptive Group Tests to Estimate the Amount of Defectives. COCOA (2) 2010: 117-130 - 2009
- [c3]Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson:
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. CAIP 2009: 1220-1227 - [c2]Peter Damaschke, Azam Sheikh Muhammad:
Competitive Group Testing and Learning Hidden Vertex Covers with Minimum Adaptivity. FCT 2009: 84-95 - 2007
- [c1]Azam Sheikh Muhammad, Z. A. Mansoor, M. Shahzad Mughal, S. Mohsin:
Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network. CGIV 2007: 414-418
Informal and Other Publications
- 2019
- [i1]Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep:
Bayesian optimization in ab initio nuclear physics. CoRR abs/1902.00941 (2019)
Coauthor Index
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