| Text classification algorithms: A survey K Kowsari, K Jafari Meimandi, M Heidarysafa, S Mendu, L Barnes, ... Information 10 (4), 150, 2019 | 215 | 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 | 161 | 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 | 134 | 2007 |
| 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 | 133 | 2009 |
| 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 | 128 | 2015 |
| Multi-UAV simulator utilizing X-Plane R Garcia, L Barnes Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada …, 2009 | 107 | 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 | 84 | 2017 |
| 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 | 79 | 2016 |
| 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 | 75 | 2018 |
| 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 | 60 | 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 | 57 | 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 | 48 | 2004 |
| 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 | 38 | 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 | 36 | 2006 |
| 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 | 34 | 2009 |
| 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 | 28 | 2018 |
| Spanish-language consumer health information technology interventions: a systematic review AV Chaet, B Morshedi, KJ Wells, LE Barnes, R Valdez Journal of medical Internet research 18 (8), e214, 2016 | 28 | 2016 |
| Identification of imminent suicide risk among young adults using text messages AL Nobles, JJ Glenn, K Kowsari, BA Teachman, LE Barnes Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 25 | 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), 2017 | 25 | 2017 |
| M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data J Zhang, H Xiong, Y Huang, H Wu, K Leach, LE Barnes 2015 IEEE International Conference on Big Data (Big Data), 2569-2577, 2015 | 24 | 2015 |
