| Real-time network anomaly detection system using machine learning S Zhao, M Chandrashekar, Y Lee, D Medhi 2015 11th international conference on the design of reliable communication …, 2015 | 106 | 2015 |
| Language models for the prediction of SARS-CoV-2 inhibitors AE Blanchard, J Gounley, D Bhowmik, M Chandra Shekar, I Lyngaas, ... The International Journal of High Performance Computing Applications 36 (5-6 …, 2022 | 30 | 2022 |
| Automating genetic algorithm mutations for molecules using a masked language model AE Blanchard, MC Shekar, S Gao, J Gounley, I Lyngaas, J Glaser, ... IEEE Transactions on Evolutionary Computation 26 (4), 793-799, 2022 | 30 | 2022 |
| PEMAR: A pervasive middleware for activity recognition with smart phones P Vaka, F Shen, M Chandrashekar, Y Lee 2015 IEEE International Conference on Pervasive Computing and Communication …, 2015 | 24 | 2015 |
| Integration of domain knowledge using medical knowledge graph deep learning for cancer phenotyping M Alawad, S Gao, MC Shekar, SM Hasan, JB Christian, XC Wu, ... arXiv preprint arXiv:2101.01337, 2021 | 14 | 2021 |
| Interpretation of sentiment analysis in aeschylus’s Greek tragedy VK Yeruva, M Chandrashekar, Y Lee, J Rydberg-Cox, V Blanton, ... Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics …, 2020 | 12 | 2020 |
| Interpretation of sentiment analysis with human-in-the-loop VK Yeruva, M Chandrashekar, Y Lee, J Rydberg-Cox, V Blanton, ... 2020 IEEE International Conference on Big Data (Big Data), 3099-3108, 2020 | 9 | 2020 |
| Ontology mapping framework with feature extraction and semantic embeddings M Chandrashekar, R Nagulapati, Y Lee 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018 | 8 | 2018 |
| Path-BigBird: an AI-driven transformer approach to classification of cancer pathology reports M Chandrashekar, I Lyngaas, HA Hanson, S Gao, XC Wu, J Gounley JCO clinical cancer informatics 8, e2300148, 2024 | 7 | 2024 |
| Class representative learning for zero-shot learning using purely visual data M Chandrashekar, Y Lee SN Computer Science 2 (4), 313, 2021 | 6* | 2021 |
| Constructing dynamic ontologies from biomedical publications M Nagabhushan, R Nagulapati, M Chandrashekar, Y Lee 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 4 | 2017 |
| Ultra-long sequence distributed transformer X Wang, I Lyngaas, A Tsaris, P Chen, S Dash, MC Shekar, T Luo, ... arXiv preprint arXiv:2311.02382, 2023 | 3 | 2023 |
| In with the old, in with the new: machine learning for time to event biomedical research I Danciu, G Agasthya, JP Tate, M Chandra-Shekar, I Goethert, ... Journal of the American Medical Informatics Association 29 (10), 1737-1743, 2022 | 3 | 2022 |
| Graph generation with a focusing lexicon MC Shekar, JA Cottam 2019 IEEE International Conference on Big Data (Big Data), 4928-4931, 2019 | 3 | 2019 |
| MCDD: Multi-class Distribution Model for Large Scale Classification M Chandrashekar, Y Lee 2018 IEEE International Conference on Big Data (Big Data), 4906-4914, 2018 | 3* | 2018 |
| Adiabatic Quantum Support Vector Machines DJ Woun, P Date 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | 2 | 2023 |
| Transformation from Publications to Diabetes Ontology using Topic-based Assertion Discovery R Nagulapati, M Chandrashekar, Y Lee 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018 | 2 | 2018 |
| Visual context learning with big data analytics M Chandrashekar, Y Lee 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 2 | 2016 |
| Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population M Chandrashekar, I Goethert, MIU Haque, B McMahon, S Dhaubhadel, ... arXiv preprint arXiv:2407.21149, 2024 | 1 | 2024 |
| VISION: Toward a Standardized Process for Radiology Image Management at the National Level K Knight, I Danciu, O Ovchinnikova, J Hinkle, MC Shekar, D Mukherjee, ... arXiv preprint arXiv:2404.18842, 2024 | 1 | 2024 |
Yugyung LeeProfessor of Computer Science, University of Missouri - Kansas CityPreverjeni e-poštni naslov na umkc.edu
