Differentiating higher and lower job performers in the workplace using mobile sensing S Mirjafari, K Masaba, T Grover, W Wang, P Audia, AT Campbell, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 91 | 2019 |
The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers SM Mattingly, JM Gregg, P Audia, AE Bayraktaroglu, AT Campbell, ... Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 80 | 2019 |
A real-time and non-cooperative task allocation framework for social sensing applications in edge computing systems D Zhang, Y Ma, Y Zhang, S Lin, XS Hu, D Wang 2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2018 | 71 | 2018 |
A multisensor person-centered approach to understand the role of daily activities in job performance with organizational personas V Das Swain, K Saha, H Rajvanshy, A Sirigiri, JM Gregg, S Lin, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 57 | 2019 |
Social network structure is predictive of health and wellness S Lin, L Faust, P Robles-Granda, T Kajdanowicz, NV Chawla PloS one 14 (6), e0217264, 2019 | 45 | 2019 |
Jointly predicting job performance, personality, cognitive ability, affect, and well-being P Robles-Granda, S Lin, X Wu, GJ Martinez, SM Mattingly, E Moskal, ... IEEE Computational Intelligence Magazine 16 (2), 46-61, 2021 | 37 | 2021 |
Filling missing values on wearable-sensory time series data S Lin, X Wu, G Martinez, NV Chawla Proceedings of the 2020 SIAM International Conference on Data Mining, 46-54, 2020 | 35 | 2020 |
Gameviews: Understanding and supporting data-driven sports storytelling Q Zhi, S Lin, P Talkad Sukumar, R Metoyer Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 30 | 2019 |
Imputing missing social media data stream in multisensor studies of human behavior K Saha, MD Reddy, V das Swain, JM Gregg, T Grover, S Lin, GJ Martinez, ... 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 20 | 2019 |
Deep prototypical networks for imbalanced time series classification under data scarcity C Huang, X Wu, X Zhang, S Lin, NV Chawla Proceedings of the 28th ACM international conference on information and …, 2019 | 19 | 2019 |
Examining response to negative life events through fitness tracker data L Faust, K Feldman, S Lin, S Mattingly, S D'Mello, NV Chawla Frontiers in digital health 3, 659088, 2021 | 5 | 2021 |
Subigya Nepal, Kari Nies, Manikanta D VD Swain, K Saha, H Rajvanshy, A Sirigiri, JM Gregg, S Lin, GJ Martinez, ... Reddy, Pablo Robles-Granda, Andrew T. Campbell, Nitesh V. Chawla, Sidney D …, 2019 | 5 | 2019 |
The Tesserae Project [Internet] SM Mattingly, JM Gregg, P Audia, AE Bayraktaroglu, AT Campbell, ... Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 4 | 2019 |
Sensing Personality to Predict Job Performance S Lin, SM Mattingly Future of Work Workshop, 2019 CHI Conference on Human Factors in Computing …, 2019 | 2 | 2019 |
motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data S Lin, X Wu, NV Chawla 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 1 | 2021 |
Lan: Learning to augment noise tolerance for self-report survey labels S Lin, L Faust, NV Chawla 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 1 | 2021 |
MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory Data S Lin, L Faust, S D’Mello, G Martinez, NV Chawla 2020 IEEE International Conference on Big Data (Big Data), 1089-1096, 2020 | 1 | 2020 |
VisPod: Content-Based Audio Visual Navigation Q Zhi, S Lin, S He, R Metoyer, NV Chawla Companion Proceedings of the 23rd International Conference on Intelligent …, 2018 | 1 | 2018 |
Neural Tree Kernel Learning S Lin, M Wistuba, A Rawat, N Chawla Bayesian Deep Learning, The Conference and Workshop on Neural Information …, 2019 | | 2019 |