Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data. - Sreelekha Guggilam; Syed Mohammed Arshad Zaidi; Varun Chandola; Abani K. Patra (ICCS (4), 2019)

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised). - Sreelekha Guggilam; Syed Mohammed Arshad Zaidi; Varun Chandola; Abani K. Patra (CoRR, 2019)

Anomaly Detection for High-Dimensional Data Using Large Deviations Principle. - Sreelekha Guggilam; Varun Chandola; Abani K. Patra (CoRR, 2021)

Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data. - Sreelekha Guggilam; Varun Chandola; Abani K. Patra (ICCS (1), 2022)

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Takahiro Yabe; Xiaofan Liang; Bhavani Ananthabhotla; Nikhil Behari; Sreelekha Guggilam; Guanghua Chi (KDD, 2022)

Tracking clusters and anomalies in evolving data streams. - Sreelekha Guggilam; Varun Chandola; Abani K. Patra (Stat. Anal. Data Min., 2022)

An Agenda for Multimodal Foundation Models for Earth Observation. - Philipe A. Dias; Abhishek Potnis; Sreelekha Guggilam; Lexie Yang; Aristeidis Tsaris; Henry Medeiros 001; Dalton D. Lunga (IGARSS, 2023)

Large Deviations for Accelerating Neural Networks Training. - Sreelekha Guggilam; Varun Chandola; Abani K. Patra (CoRR, 2023)

Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data. - Sreelekha Guggilam; Varun Chandola; Abani K. Patra (J. Comput. Sci., 2023)

Iterative Misclassification Error Training (IMET): An Optimized Neural Network Training Technique for Image Classification. - Ruhaan Singh; Sreelekha Guggilam (CoRR, 2025)