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Muhammad Aurangzeb Ahmad
Publications
- 2022
- [i6]Muhammad Aurangzeb Ahmad, Raafia Ahmed, Steve Overman, Patrick Campbell, Corinne Stroum, Bipin Karunakaran:
Machine Learning for Deferral of Care Prediction. CoRR abs/2207.01485 (2022) - 2021
- [c39]Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Interpretable Phenotyping for Electronic Health Records. ICHI 2021: 161-170 - [c38]Muhammad Aurangzeb Ahmad, Eduardo Trujillo-Rivera, Pollack M. D. Murray, Eckert M. D. Carly, Patel M. D. Anita, Ankur Teredesai:
Machine Learning Approaches for Patient State Prediction in Pediatric ICUs. ICHI 2021: 422-426 - [c37]Muhammad Aurangzeb Ahmad, Barrett Larson, Steve Overman, Vikas Kumar, Jing Xie, Alan Rossington, Ankur Patel, Ankur Teredesai:
Machine Learning Approaches for Pressure Injury Prediction. ICHI 2021: 427-431 - [c36]Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai:
Fairness in Healthcare AI. ICHI 2021: 554-555 - [c35]Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert:
Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. KDD 2021: 4023-4024 - [i5]Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. CoRR abs/2102.03672 (2021) - [i4]Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare. CoRR abs/2102.03717 (2021) - [i3]Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. CoRR abs/2104.07820 (2021) - 2020
- [c34]Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. AI4SG@AAAI Fall Symposium 2020 - [c33]Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* 2020: 690 - [c32]Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai:
Fairness in Machine Learning for Healthcare. KDD 2020: 3529-3530 - [e2]Ebad Banissi, Farzad Khosrow-shahi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, John Counsell, Andrew Agapiou, Zora Vrcelj, Hing-Wah Chau, Mengbi Li, Gehan Nagy, Richard Laing, Rita Francese, Muhammad Sarfraz, Fatma Bouali, Gilles Venturini, Marjan Trutschl, Urska Cvek, Heimo Müller, Minoru Nakayama, Marco Temperini, Tania Di Mascio, Filippo Sciarrone, Veronica Rossano, Ralf Dörner, Loredana Caruccio, Autilia Vitiello, Weidong Huang, Michele Risi, Ugo Erra, Razvan Andonie, Muhammad Aurangzeb Ahmad, Ana Figueiras, Alfredo Cuzzocrea, Mabule Samuel Mabakane:
24th International Conference on Information Visualisation, IV 2020, Melbourne, Australia, September 7-11, 2020. IEEE 2020, ISBN 978-1-7281-9134-8 [contents] - [i2]Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. CoRR abs/2009.10221 (2020) - 2019
- [c30]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. AISafety@IJCAI 2019 - [i1]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. CoRR abs/1907.12669 (2019) - 2018
- [c29]Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai:
Death vs. Data Science: Predicting End of Life. AAAI 2018: 7719-7726 - [c28]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
Interpretable Machine Learning in Healthcare. BCB 2018: 559-560 - [c27]Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Interpretable Machine Learning in Healthcare. ICHI 2018: 447 - 2012
- [c22]Anas Basalamah, Muhammad Aurangzeb Ahmad, Mohamed Elidrisi, Saleh M. Basalamah, Mohamed F. Mokbel:
Streaming driving behavior data. IWGS@SIGSPATIAL/GIS 2012: 116-119 - 2010
- [c9]Muhammad Aurangzeb Ahmad, Mohamed Elidrisi:
Opponent Classification in Poker. SBP 2010: 398-405 - 2006
- [j1]Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodia, Roger S. Gaborski:
CoMMA: a framework for integrated multimedia mining using multi-relational associations. Knowl. Inf. Syst. 10(2): 135-162 (2006) - [c2]Muhammad A. Ahmad, Ankur Teredesai:
Modeling Proliferation of Ideas in Online Social Networks. AusDM 2006: 185-190 - 2005
- [c1]Muhammad A. Ahmad, Ankur Teredesai:
Domain Independent Integrated Multimedia Data Mining is a Frivolous Exercise: Classicism vs. Connectionism Debate Revisited. Wissensmanagement 2005: 587-594
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