| The impact of colleges and hospitals to local real estate markets R Rivas, D Patil, V Hristidis, JR Barr, N Srinivasan Journal of Big Data 6 (1), 1-24, 2019 | 26 | 2019 |
| Telemedicine, Homecare in the Era of COVID-19 & beyond JR Barr, D D’Auria, F Persia 2020 Third International Conference on Artificial Intelligence for …, 2020 | 24 | 2020 |
| Real estate image classification JH Bappy, JR Barr, N Srinivasan, AK Roy-Chowdhury 2017 ieee winter conference on applications of computer vision (wacv), 373-381, 2017 | 20 | 2017 |
| Home price index: a machine learning methodology JR Barr, EA Ellis, A Kassab, CL Redfearn, NN Srinivasan, KB Voris International Journal of Semantic Computing 11 (01), 111-133, 2017 | 17 | 2017 |
| Combinatorial code classification & vulnerability rating JR Barr, P Shaw, FN Abu-Khzam, S Yu, H Yin, T Thatcher 2020 second international conference on transdisciplinary AI (TransAI), 80-83, 2020 | 15 | 2020 |
| Combinatorial text classification: the effect of multi-parameterized correlation clustering JR Barr, P Shaw, FN Abu-Khzam, J Chen 2019 First International Conference on Graph Computing (GC), 29-36, 2019 | 15 | 2019 |
| Estimation of the investability of real estate properties through text analysis M Shahbazi, JR Barr, V Hristidis, NN Srinivasan 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 301-306, 2016 | 12 | 2016 |
| Anomaly detection in healthcare: Detecting erroneous treatment plans in time series radiotherapy data T Sipes, S Jiang, K Moore, N Li, H Karimabadi, JR Barr International Journal of Semantic Computing 8 (03), 257-278, 2014 | 11 | 2014 |
| A greedy heuristic for cluster editing with vertex splitting FN Abu-Khzam, JR Barr, A Fakhereldine, P Shaw 2021 4th International Conference on Artificial Intelligence for Industries …, 2021 | 10 | 2021 |
| Vulnerability rating of source code with token embedding and combinatorial algorithms JR Barr, P Shaw, FN Abu-Khzam, T Thatcher, S Yu International Journal of Semantic Computing 14 (04), 501-516, 2020 | 10 | 2020 |
| Topic models: A tutorial with R GM Richardson, J Bowers, AJ Woodill, JR Barr, JM Gawron, RA Levine International Journal of Semantic Computing 8 (01), 85-98, 2014 | 10 | 2014 |
| Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial O Abani, A Abbas, F Abbas, J Abbas, K Abbas, M Abbas, S Abbasi, ... The Lancet Diabetes & Endocrinology 11 (12), 905-914, 2023 | 6 | 2023 |
| Forensics: Assessing model goodness: A machine learning view JR Barr, J Cavanaugh Encyclopedia with Semantic Computing and Robotic Intelligence 2 (02), 1850015, 2018 | 6 | 2018 |
| Ai application to data analysis, automatic file processing J Barr, P Shaw 2018 First International Conference on Artificial Intelligence for …, 2018 | 6 | 2018 |
| Anomaly detection via correlation clustering P Shaw, JR Barr, FN Abu-Khzam 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 307-313, 2022 | 5 | 2022 |
| Upsampling, a comparative study with new ideas JR Barr, M Sobel, T Thatcher 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 318-321, 2022 | 4 | 2022 |
| On the vulnerability of large corpora source code JR Barr, T Thatcher 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 314-317, 2022 | 4 | 2022 |
| Vulnerability analysis of the android kernel JR Barr, P Shaw, T Thatcher arXiv preprint arXiv:2112.11214, 2021 | 4 | 2021 |
| The variability of model specification JR Barr, P Shaw, M Sobel arXiv preprint arXiv:2110.02490, 2021 | 3 | 2021 |
| Predicting glaucoma progression using decision trees for clustered data by goodness of split L Sharpsten, J Fan, JR Barr, X Su, S Demirel, RA Levine International Journal of Semantic Computing 7 (02), 157-172, 2013 | 3 | 2013 |
