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2020 – today

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2023
[c40]
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Muhammad Aurangzeb Ahmad, Vijay Chickarmane, Farinaz Sabz Ali Pour, Nima Shariari, Taposh Dutta Roy:
Validation of a Hospital Digital Twin with Machine Learning. ICHI 2023: 465-469
[i8]
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Muhammad Aurangzeb Ahmad, Vijay Chickarmane, Farinaz Sabz Ali Pour, Nima Shariari, Taposh Dutta Roy:
Validation of a Hospital Digital Twin with Machine Learning. CoRR abs/2303.04117 (2023)
[i7]
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Muhammad Aurangzeb Ahmad, Ilker Yaramis, Taposh Dutta Roy:
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI. CoRR abs/2311.01463 (2023)
2022
[i6]
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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]
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Christine Allen, Juhua Hu, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Interpretable Phenotyping for Electronic Health Records. ICHI 2021: 161-170
[c38]
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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]
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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]
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Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai:
Fairness in Healthcare AI. ICHI 2021: 554-555
[c35]
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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
[e3]
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Hemant Purohit, Oshani Seneviratne, Muhammad Aurangzeb Ahmad:
Proceedings of the AAAI Fall Symposium on AI for Social Good, Virtual Symposium, November 13-14, 2020. CEUR Workshop Proceedings 2884, CEUR-WS.org 2021 [contents]
[i5]
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  - journals/corr/abs-2102-03672
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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]
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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]
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  - journals/corr/abs-2104-07820
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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]
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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]
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Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* 2020: 690
[c32]
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Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai:
Fairness in Machine Learning for Healthcare. KDD 2020: 3529-3530
[c31]
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Muhammad Aurangzeb Ahmad, Sener Özönder:
Physics Inspired Models in Artificial Intelligence. KDD 2020: 3535-3536
[e2]
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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]
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  - journals/corr/abs-2009-10221
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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)

2010 – 2019

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2019
[c30]
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Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. AISafety@IJCAI 2019
[i1]
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  - journals/corr/abs-1907-12669
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Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. CoRR abs/1907.12669 (2019)
2018
[c29]
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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]
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Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
Interpretable Machine Learning in Healthcare. BCB 2018: 559-560
[c27]
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Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Interpretable Machine Learning in Healthcare. ICHI 2018: 447
[r2]
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Brian C. Keegan, Muhammad Aurangzeb Ahmad:
Deviant and Criminal Uses of Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
2016
[c26]
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Muhammad Aurangzeb Ahmad:
After Death: Big Data and the Promise of Resurrection by Proxy. CHI Extended Abstracts 2016: 397-408
2014
[c25]
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Muhammad Aurangzeb Ahmad, Jaideep Srivastava:
Behavioral data mining and network analysis in massive online games. WSDM 2014: 673-674
[e1]
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  - conf/socialcom/2013prbv
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Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor:
Predicting Real World Behaviors from Virtual World Data @ SocialCom 2013, Washington, DC, USA, September 2013. Springer Proceedings in Complexity, Springer 2014, ISBN 978-3-319-07141-1 [contents]
[r1]
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Brian C. Keegan, Muhammad Aurangzeb Ahmad:
Dark Sides of Social Networking. Encyclopedia of Social Network Analysis and Mining 2014: 319-332
2013
[j5]
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  - journals/kbs/KimA13
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Young Ae Kim, Muhammad A. Ahmad:
Trust, distrust and lack of confidence of users in online social media-sharing communities. Knowl. Based Syst. 37: 438-450 (2013)
[j4]
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Zoheb Hassan Borbora, Muhammad Aurangzeb Ahmad, Jehwan Oh, Karen Zita Haigh, Jaideep Srivastava, Zhen Wen:
Robust features of trust in social networks. Soc. Netw. Anal. Min. 3(4): 981-999 (2013)
[c24]
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Muhammad Aurangzeb Ahmad, Brian Keegan, Atanu Roy, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Guilt by association?: network based propagation approaches for gold farmer detection. ASONAM 2013: 121-126
[c23]
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Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor:
On the Problem of Predicting Real World Characteristics from Virtual Worlds. Predicting Real World Behaviors from Virtual World Data @ SocialCom 2013: 1-18
2012
[c22]
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  - conf/gis/BasalamahAEBM12
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Anas Basalamah, Muhammad Aurangzeb Ahmad, Mohamed Elidrisi, Saleh M. Basalamah, Mohamed F. Mokbel:
Streaming driving behavior data. IWGS@SIGSPATIAL/GIS 2012: 116-119
[c21]
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Muhammad Aurangzeb Ahmad, Zoheb Borbora, Jaideep Srivastava, Noshir S. Contractor:
Love All, Trust a Few: Link Prediction for Trust and Psycho-social Factors in MMOs. SBP 2012: 123-130
[c20]
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  - conf/socialcom/RoyASKS12
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Atanu Roy, Muhammad Aurangzeb Ahmad, Chandrima Sarkar, Brian Keegan, Jaideep Srivastava:
The Ones that Got Away: False Negative Estimation Based Approaches for Gold Farmer Detection. SocialCom/PASSAT 2012: 328-337
2011
[j3]
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Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
What can gold farmers teach us about criminal networks? XRDS 17(3): 11-15 (2011)
[j2]
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Jing (Annie) Wang, David A. Huffaker, Jeffrey William Treem, Lindsay Fullerton, Muhammad A. Ahmad, Dmitri Williams, Marshall Scott Poole, Noshir S. Contractor:
Focused on the prize: Characteristics of experts in massive multiplayer online games. First Monday 16(8) (2011)
[c19]
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Muhammad Aurangzeb Ahmad, Brian Keegan, Sophia D. Sullivan, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Towards Analyzing Adversarial Behavior in Clandestine Networks. Applied Adversarial Reasoning and Risk Modeling 2011
[c18]
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Muhammad Aurangzeb Ahmad, Brian Keegan, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Trust Amongst Rogues? A Hypergraph Approach for Comparing Clandestine Trust Networks in MMOGs. ICWSM 2011
[c17]
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Zoheb Borbora, Muhammad Aurangzeb Ahmad, Karen Zita Haigh, Jaideep Srivastava, Zhen Wen:
Exploration of Robust Features of Trust Across Multiple Social Networks. SASO Workshops 2011: 27-32
[c16]
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Muhammad Aurangzeb Ahmad, Brian Keegan, Sophia D. Sullivan, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Illicit Bits: Detecting and Analyzing Contraband Networks in Massively Multiplayer Online Games. SocialCom/PASSAT 2011: 127-134
[c15]
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Muhammad Aurangzeb Ahmad, Iftekhar Ahmed, Jaideep Srivastava, Marshall Scott Poole:
Trust Me, I'm an Expert: Trust, Homophily and Expertise in MMOs. SocialCom/PASSAT 2011: 882-887
[c14]
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Muhammad Aurangzeb Ahmad, Zoheb Borbora, Cuihua Shen, Jaideep Srivastava, Dmitri Williams:
Guild Play in MMOGs: Rethinking Common Group Dynamics Models. SocInfo 2011: 145-152
[c13]
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Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Sic transit gloria mundi virtuali?: promise and peril in the computational social science of clandestine organizing. WebSci 2011: 24:1-24:8
2010
[c12]
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Muhammad Aurangzeb Ahmad, David A. Huffaker, Jing Wang, Jeffrey William Treem, Marshall Scott Poole, Jaideep Srivastava:
GTPA: A Generative Model For Online Mentor-Apprentice Networks. AAAI 2010: 1294-1299
[c11]
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Muhammad Aurangzeb Ahmad, Zoheb Borbora, Jaideep Srivastava, Noshir S. Contractor:
Link Prediction Across Multiple Social Networks. ICDM Workshops 2010: 911-918
[c10]
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Muhammad Aurangzeb Ahmad, Xin Zhao:
COLBERT: A Scoring Based Graphical Model for Expert Identification. SBP 2010: 180-188
[c9]
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Muhammad Aurangzeb Ahmad, Mohamed Elidrisi:
Opponent Classification in Poker. SBP 2010: 398-405
[c8]
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Brian Keegan, Muhammad Aurangzeb Ahmad, Dmitri Williams, Jaideep Srivastava, Noshir S. Contractor:
Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games. SocialCom/PASSAT 2010: 201-208
[c7]
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Muhammad Aurangzeb Ahmad, David A. Huffaker, Jing Wang, Jeffrey William Treem, Dinesh K. Kumar, Marshall Scott Poole, Jaideep Srivastava:
The Many Faces of Mentoring in an MMORPG. SocialCom/PASSAT 2010: 270-275
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Muhammad Aurangzeb Ahmad, Marshall Scott Poole, Jaideep Srivastava:
Network Exchange in Trust Networks. SocialCom/PASSAT 2010: 341-346

2000 – 2009

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2009
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David A. Huffaker, Jing (Annie) Wang, Jeffrey William Treem, Muhammad Aurangzeb Ahmad, Lindsay Fullerton, Dmitri Williams, Marshall Scott Poole, Noshir S. Contractor:
The Social Behaviors of Experts in Massive Multiplayer Online Role-Playing Games. CSE (4) 2009: 326-331
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Muhammad Aurangzeb Ahmad, Brian Keegan, Jaideep Srivastava, Dmitri Williams, Noshir S. Contractor:
Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs. CSE (4) 2009: 340-345
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Kyong Jin Shim, Muhammad Aurangzeb Ahmad, Nishith Pathak, Jaideep Srivastava:
Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs). CSE (4) 2009: 1199-1204
2006
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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)
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  - electronic edition @ westernsydney.edu.au
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Muhammad A. Ahmad, Ankur Teredesai:
Modeling Proliferation of Ideas in Online Social Networks. AusDM 2006: 185-190
2005
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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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