| Data mining: concepts, models, methods, and algorithms M Kantardzic John Wiley & Sons, 2011 | 4231 | 2011 |
| Real-time click fraud detecting and blocking system L Ge, M Kantardzic US Patent App. 11/413,983, 2007 | 268 | 2007 |
| On the reliable detection of concept drift from streaming unlabeled data TS Sethi, M Kantardzic Expert Systems with Applications 82, 77-99, 2017 | 264 | 2017 |
| 数据挖掘——概念, 模型, 方法和算法 M Kantardzic 北京: 清华大学出版社, 2003 | 228 | 2003 |
| A review of explainable deep learning cancer detection models in medical imaging MA Gulum, CM Trombley, M Kantardzic Applied Sciences 11 (10), 4573, 2021 | 166 | 2021 |
| No free lunch theorem for concept drift detection in streaming data classification: A review H Hu, M Kantardzic, TS Sethi Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020 | 142 | 2020 |
| DataMining Concepts M Kantardzic Wiley-IEEE Press, 2003 | 104 | 2003 |
| Handling adversarial concept drift in streaming data TS Sethi, M Kantardzic Expert systems with applications 97, 18-40, 2018 | 75 | 2018 |
| Is it better to combine predictions? RD King, M Ouali, AT Strong, A Aly, A Elmaghraby, M Kantardzic, D Page Protein Engineering 13 (1), 15-19, 2000 | 68 | 2000 |
| Autonomous vehicle-to-vehicle (v2v) decision making in roundabout using game theory L Banjanovic-Mehmedovic, E Halilovic, I Bosankic, M Kantardzic, ... International journal of advanced computer science and applications 7 (8), 2016 | 67 | 2016 |
| Data driven exploratory attacks on black box classifiers in adversarial domains TS Sethi, M Kantardzic Neurocomputing 289, 129-143, 2018 | 66 | 2018 |
| Don’t pay for validation: Detecting drifts from unlabeled data using margin density TS Sethi, M Kantardzic Procedia Computer Science 53, 103-112, 2015 | 62 | 2015 |
| Hierarchical clustering with cuda/gpu. DJ Chang, MM Kantardzic, M Ouyang PDCCS, 7-12, 2009 | 53 | 2009 |
| Next generation of data-mining applications M Kantardzic, J Zurada Wiley-IEEE Press, 2005 | 53 | 2005 |
| A grid density based framework for classifying streaming data in the presence of concept drift TS Sethi, M Kantardzic, H Hu Journal of Intelligent Information Systems 46 (1), 179-211, 2016 | 48 | 2016 |
| The new generation of automatic landmark detection systems: Challenges and guidelines P Sadeghian, M Kantardzic Spatial Cognition & Computation 8 (3), 252-287, 2008 | 46 | 2008 |
| Data mining: concepts, models, methods and algorithms, A John Wiley & Sons M Kantardzic Inc. Hoboken, New Jersey, 2011 | 40 | 2011 |
| The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments P Sadeghian, M Kantardzic, O Lozitskiy, W Sheta International Journal of Human-Computer Studies 64 (4), 356-374, 2006 | 40 | 2006 |
| Neural network-based data-driven modelling of anomaly detection in thermal power plant L Banjanovic-Mehmedovic, A Hajdarevic, M Kantardzic, F Mehmedovic, ... Automatika: časopis za automatiku, mjerenje, elektroniku, računarstvo i …, 2017 | 35 | 2017 |
| Retail analytics: store segmentation using Rule-Based Purchasing behavior analysis E Bilgic, O Cakir, M Kantardzic, Y Duan, G Cao The International Review of Retail, Distribution and Consumer Research 31 (4 …, 2021 | 34 | 2021 |
Tegjyot Singh SethiGoogle, University of LouisvilleVerified email at google.com
