Data mining for business analytics: concepts, techniques, and applications in R G Shmueli, PC Bruce, I Yahav, NR Patel, KC Lichtendahl Jr John Wiley & Sons, 2017 | 331 | 2017 |
On generating multivariate Poisson data in management science applications I Yahav, G Shmueli Applied Stochastic Models in Business and Industry 28 (1), 91-102, 2012 | 116* | 2012 |
Comments Mining With TF-IDF: The Inherent Bias and Its Removal I Yahav, O Shehory, D Schwartz IEEE Transactions on Knowledge and Data Engineering, 2018 | 111 | 2018 |
A machine-based prediction model of ADHD using CPT data O Slobodin, I Yahav, I Berger Frontiers in human neuroscience 14, 560021, 2020 | 52 | 2020 |
HeBERT and HebEMO: A Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition A Chriqui, I Yahav Informs Journal on Data Science 1 (1), 2022 | 48 | 2022 |
A tree-based approach for addressing self-selection in impact studies with big data I Yahav, G Shmueli, D Mani MIS Quarterly 20 (4), 819-848, 2016 | 41 | 2016 |
Layperson reversal of opioid overdose supported by smartphone alert: a prospective observational cohort study DG Schwartz, J Ataiants, A Roth, G Marcu, I Yahav, B Cocchiaro, ... EClinicalMedicine 25, 2020 | 36 | 2020 |
The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees G Shmueli, I Yahav Production and Operations Management, 2017 | 27* | 2017 |
The design of reciprocal learning between human and artificial intelligence A Zagalsky, D Te'eni, I Yahav, DG Schwartz, G Silverman, D Cohen, ... Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-36, 2021 | 25 | 2021 |
E-loyalty networks in online auctions W Jank, I Yahav | 25 | 2010 |
Simulating multivariate syndromic time series and outbreak signatures T Lotze, G Shmueli, I Yahav Robert H. Smith School Research Paper No. RHS-06-054, 2007 | 21 | 2007 |
Wearable biosensors have the potential to monitor physiological changes associated with opioid overdose among people who use drugs: A proof-of-concept study in a real-world setting AM Roth, NK Tran, B Cocchiaro, AK Mitchell, DG Schwartz, DJ Hensel, ... Drug and alcohol dependence 229, 109138, 2021 | 20 | 2021 |
Directionally sensitive multivariate control charts in practice: Application to biosurveillance I Yahav, G Shmueli Quality and Reliability Engineering International 30 (2), 159-179, 2014 | 20 | 2014 |
Comparison of heuristics for solving the gmlst problem Y Chen, N Cornick, AO Hall, R Shajpal, J Silberholz, I Yahav, BL Golden Telecommunications modeling, policy, and technology, 191-217, 2008 | 19 | 2008 |
Visual exploration across biomedical databases MD Lieberman, S Taheri, F Mirrashed, I Yahav, A Aris, B Shneiderman IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (2), 536-550, 2010 | 18 | 2010 |
Simulating and evaluating biosurveillance datasets T Lotze, G Shmueli, I Yahav, T Kass-Hout, X Zhang Biosurveillance: Methods and Case Studies; Chapman and Hall: Boca Raton, FL 2352, 2010 | 17 | 2010 |
Revealing censored information through comments and commenters in online social networks G Cascavilla, M Conti, DG Schwartz, I Yahav Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 16 | 2015 |
From a bird’s eye view: Whole social networks in adult day care centers and continuing care retirement communities L Ayalon, I Yahav, O Lesser Innovation in aging 2 (3), igy024, 2018 | 15 | 2018 |
Algorithm combination for improved performance in biosurveillance systems I Yahav, G Shmueli NSF Workshop on Intelligence and Security Informatics, 91-102, 2007 | 15 | 2007 |
Statistical challenges in eCommerce: Modeling dynamic and networked data W Jank, G Shmueli, M Dass, I Yahav, S Zhang State-of-the-Art Decision-Making Tools in the Information-Intensive Age, 31-54, 2008 | 14 | 2008 |