| Text classification algorithms: A survey K Kowsari, K Jafari Meimandi, M Heidarysafa, S Mendu, L Barnes, ... Information 10 (4), 150, 2019 | 1988 | 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 | 604 | 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 | 252 | 2018 |
| 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 | 213 | 2017 |
| 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 | 199 | 2018 |
| 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 | 196 | 2015 |
| Unmanned ground vehicle swarm formation control using potential fields L Barnes, MA Fields, K Valavanis 2007 Mediterranean Conference on Control & Automation, 1-8, 2007 | 187 | 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 | 168 | 2009 |
| Multi-uav simulator utilizing x-plane R Garcia, L Barnes Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada …, 2010 | 157 | 2010 |
| 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 | 136 | 2016 |
| 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 | 124 | 2018 |
| Graph neural networks in IoT: A survey G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai, R Gutierrez, B Campbel, ... ACM Transactions on Sensor Networks 19 (2), 1-50, 2023 | 116 | 2023 |
| 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 | 113 | 2018 |
| The urban built environment, walking and mental health outcomes among older adults: a pilot study J Roe, A Mondschein, C Neale, L Barnes, M Boukhechba, S Lopez Frontiers in public health 8, 575946, 2020 | 112 | 2020 |
| 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 | 110 | 2016 |
| 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 | 106 | 2018 |
| 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 | 79 | 2017 |
| 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 | 78 | 2017 |
| Analysis of railway accidents' narratives using deep learning M Heidarysafa, K Kowsari, L Barnes, D Brown 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 77 | 2018 |
| 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 | 74 | 2017 |
Mehdi BoukhechbaJohnson and Johnson | Janssen R&DVerified email at its.jnj.com
