| Text classification algorithms: A survey K Kowsari, K Jafari Meimandi, M Heidarysafa, S Mendu, L Barnes, ... Information 10 (4), 150, 2019 | 457 | 2019 |
| Hdltex: Hierarchical deep learning for text classification K Kowsari, DE Brown, M Heidarysafa, KJ Meimandi, MS Gerber, ... 2017 16th IEEE international conference on machine learning and applications …, 2017 | 230 | 2017 |
| Unmanned ground vehicle swarm formation control using potential fields L Barnes, MA Fields, K Valavanis 2007 Mediterranean Conference on Control & Automation, 1-8, 2007 | 148 | 2007 |
| iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing H Xiong, D Zhang, G Chen, L Wang, V Gauthier, LE Barnes IEEE Transactions on Mobile Computing 15 (8), 2010-2022, 2015 | 146 | 2015 |
| Swarm formation control utilizing elliptical surfaces and limiting functions LE Barnes, MA Fields, KP Valavanis IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 137 | 2009 |
| Multi-UAV simulator utilizing X-Plane R Garcia, L Barnes Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada …, 2009 | 118 | 2009 |
| Using mobile sensing to test clinical models of depression, social anxiety, state affect, and social isolation among college students PI Chow, K Fua, Y Huang, W Bonelli, H Xiong, LE Barnes, BA Teachman Journal of medical Internet research 19 (3), e62, 2017 | 108 | 2017 |
| Rmdl: Random multimodel deep learning for classification K Kowsari, M Heidarysafa, DE Brown, KJ Meimandi, LE Barnes Proceedings of the 2nd International Conference on Information System and …, 2018 | 104 | 2018 |
| Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies H Xiong, Y Huang, LE Barnes, MS Gerber Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 94 | 2016 |
| Patient2vec: A personalized interpretable deep representation of the longitudinal electronic health record J Zhang, K Kowsari, JH Harrison, JM Lobo, LE Barnes IEEE Access 6, 65333-65346, 2018 | 93 | 2018 |
| Assessing social anxiety using GPS trajectories and point-of-interest data Y Huang, H Xiong, K Leach, Y Zhang, P Chow, K Fua, BA Teachman, ... Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 69 | 2016 |
| Evidence of the need for social intelligence in rescue robots T Fincannon, LE Barnes, RR Murphy, DL Riddle 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004 | 49 | 2004 |
| DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones M Boukhechba, AR Daros, K Fua, PI Chow, BA Teachman, LE Barnes Smart Health 9, 192-203, 2018 | 46 | 2018 |
| Predicting social anxiety from global positioning system traces of college students: feasibility study M Boukhechba, P Chow, K Fua, BA Teachman, LE Barnes JMIR mental health 5 (3), e10101, 2018 | 43 | 2018 |
| Derivation and validation of a universal vital assessment (UVA) score: a tool for predicting mortality in adult hospitalised patients in sub-Saharan Africa CC Moore, R Hazard, KJ Saulters, J Ainsworth, SA Adakun, A Amir, ... BMJ global health 2 (2), e000344, 2017 | 39 | 2017 |
| Heterogeneous swarm formation control using bivariate normal functions to generate potential fields L Barnes, W Alvis, M Fields, K Valavanis, W Moreno IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence …, 2006 | 39 | 2006 |
| Swarm formation control with potential fields formed by bivariate normal functions L Barnes, W Alvis, MA Fields, K Valavanis, W Moreno 2006 14th Mediterranean Conference on Control and Automation, 1-7, 2006 | 38 | 2006 |
| Monitoring social anxiety from mobility and communication patterns M Boukhechba, Y Huang, P Chow, K Fua, BA Teachman, LE Barnes Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017 | 37 | 2017 |
| Effective robot team control methodologies for battlefield applications MA Fields, E Haas, S Hill, C Stachowiak, L Barnes 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 36 | 2009 |
| Load-capacity rating of bridge populations through machine learning: Application of decision trees and random forests M Alipour, DK Harris, LE Barnes, OE Ozbulut, J Carroll Journal of Bridge Engineering 22 (10), 04017076, 2017 | 33 | 2017 |
