Banerjee, Arindam

Anomaly detection: A survey

Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 11,687

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering

Model Reduction and Neural NetworksMachine Learning in Materials Science

Cited by 1,752

BHPMF – a hierarchical Bayesian approach to gap‐filling and trait prediction for macroecology and functional biogeography

Schrodt, F., Kattge, J., Shan, H., Fazayeli, F., Joswig, J., Banerjee, A., Reichstein, M., Bönisch, G., Díaz, S., Dickie, J., et al. (2015) · Global Ecology and Biogeography

Ecology and Vegetation Dynamics StudiesSpecies Distribution and Climate Change

Cited by 206

Adversarial attacks on an oblivious recommender

Christakopoulou, K., & Banerjee, A. (2019) · Proceedings of the 13th ACM Conference on Recommender Systems

Adversarial Robustness in Machine LearningRecommender Systems and Techniques

Cited by 105

Sparse Group Lasso: Consistency and Climate Applications

Chatterjee, S., Steinhaeuser, K., Banerjee, A., Chatterjee, S., & Ganguly, A. (2012) · Proceedings of the 2012 SIAM International Conference on Data Mining

Statistical Methods and InferenceSpatial and Panel Data Analysis

Cited by 72

Theory-Guided Data Science for Climate Change

Faghmous, J. H., Banerjee, A., Shekhar, S., Steinbach, M., Kumar, V., Ganguly, A. R., & Samatova, N. (2014) · Computer

Climate variability and modelsSpatial and Panel Data Analysis

Cited by 42