Articles with public access mandates - Nitesh V Chawla, Fellow: ACM, IEEE, AAAS, AAAILearn more
Not available anywhere: 8
A unifying view on dataset shift in classification
JG Moreno-Torres, T Raeder, R Alaiz-Rodríguez, NV Chawla, F Herrera
Pattern recognition 45 (1), 521-530, 2012
Mandates: Government of Spain
Hierarchically structured transformer networks for fine-grained spatial event forecasting
X Wu, C Huang, C Zhang, NV Chawla
Proceedings of the web conference 2020, 2320-2330, 2020
Mandates: US National Science Foundation, US Department of Defense
Semantic flow graph: A framework for discovering object relationships in flow fields
J Tao, C Wang, NV Chawla, L Shi, SH Kim
IEEE Transactions on Visualization and Computer Graphics 24 (12), 3200-3213, 2017
Mandates: US National Science Foundation, National Natural Science Foundation of China
Discrete heart rate values or continuous streams? Representation, variability, and meaningful use of vital sign data
K Feldman, AJ Rohan, NV Chawla
CIN: Computers, Informatics, Nursing 39 (11), 793-803, 2021
Mandates: US National Science Foundation
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
Mandates: US Department of Defense, US Office of the Director of National Intelligence
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
Mandates: US Department of Defense, US Office of the Director of National Intelligence
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
Mandates: US Department of Defense, US Office of the Director of National Intelligence
The evolution of social relationships and strategies across the lifespan
Y Dong, NV Chawla, J Tang, Y Yang, Y Yang
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Mandates: National Natural Science Foundation of China
Available somewhere: 146
metapath2vec: Scalable representation learning for heterogeneous networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandates: US National Science Foundation, US Department of Defense
SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary
A Fernández, S Garcia, F Herrera, NV Chawla
Journal of artificial intelligence research 61, 863-905, 2018
Mandates: US National Science Foundation, Government of Spain
Heterogeneous graph neural network
C Zhang, D Song, C Huang, A Swami, NV Chawla
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Mandates: US National Science Foundation, US Department of Defense
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019
Mandates: US National Science Foundation, US Department of Defense
Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier
M Mursalin, Y Zhang, Y Chen, NV Chawla
Neurocomputing 241, 204-214, 2017
Mandates: National Natural Science Foundation of China
An insight into imbalanced big data classification: outcomes and challenges
A Fernández, S del Río, NV Chawla, F Herrera
Complex & Intelligent Systems 3, 105-120, 2017
Mandates: US National Science Foundation, Government of Spain
Inferring user demographics and social strategies in mobile social networks
Y Dong, Y Yang, J Tang, Y Yang, NV Chawla
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Mandates: National Natural Science Foundation of China
Representing higher-order dependencies in networks
J Xu, TL Wickramarathne, NV Chawla
Science advances 2 (5), e1600028, 2016
Mandates: US National Science Foundation
Few-shot knowledge graph completion
C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla
Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020
Mandates: US National Science Foundation, US Department of Defense
A network’s gender composition and communication pattern predict women’s leadership success
Y Yang, NV Chawla, B Uzzi
Proceedings of the National Academy of Sciences 116 (6), 2033-2038, 2019
Mandates: US Department of Defense, US National Institutes of Health
Graph few-shot learning via knowledge transfer
H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020
Mandates: US National Science Foundation, US Department of Defense
Few-shot graph learning for molecular property prediction
Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla
Proceedings of the web conference 2021, 2559-2567, 2021
Mandates: US National Science Foundation
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