Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data von Guggilam, Sreelekha, Chandola, Varun, Patra, Abani K.

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High-Throughput Screening and Accurate Prediction of Ionic Liquid Viscosities Using Interpretable Machine Learning von Mohan, Mood, Jetti, Karuna Devi, Guggilam, Sreelekha, Smith, Micholas Dean, Kidder, Michelle K., Smith, Jeremy C.

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Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution von Mohan, Mood, Gugulothu, Nikhitha, Guggilam, Sreelekha, Rajitha, Rajeshwar T., Kidder, Michelle K., Smith, Jeremy C.

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Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data von Guggilam, Sreelekha, Chandola, Varun, Patra, Abani K.

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Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised) von Sreelekha Guggilam, Zaidi, Syed M A, Chandola, Varun, Patra, Abani K

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Large Deviations for Accelerating Neural Networks Training von Guggilam, Sreelekha, Chandola, Varun, Patra, Abani

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Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data von Guggilam, Sreelekha, Zaidi, Syed Mohammed Arshad, Chandola, Varun, Patra, Abani K.

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Anomaly Detection for High-Dimensional Data Using Large Deviations Principle von Guggilam, Sreelekha, Chandola, Varun, Patra, Abani

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Large Deviations for Accelerating Neural Networks Training von Sreelekha Guggilam, Chandola, Varun, Patra, Abani

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Anomaly Detection for High-Dimensional Data Using Large Deviations Principle von Sreelekha Guggilam, Chandola, Varun, Patra, Abani

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Bayesian Anomaly Detection Using Extreme Value Theory von Guggilam, Sreelekha, Zaidi, S. M. Arshad, Chandola, Varun, Patra, Abani

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GeoAI for Humanitarian Assistance von Dias, Philipe A., Kobayashi-Carvalhaes, Thomaz, Walters, Sarah, Frazier, Tyler, Woody, Carson, Guggilam, Sreelekha, Adams, Daniel, Potnis, Abhishek, Lunga, Dalton

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Bayesian Anomaly Detection Using Extreme Value Theory von Sreelekha Guggilam, Arshad Zaidi, S M, Chandola, Varun, Patra, Abani

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