Big Data Ingestion and Lifelong Learning Architecture. - Gautam Pal; Gangmin Li; Katie Atkinson (IEEE BigData, 2018)

Big Data Real Time Ingestion and Machine Learning. - Gautam Pal; Gangmin Li; Katie Atkinson (DSMP, 2018)

Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics. - Gautam Pal; Gangmin Li; Katie Atkinson (Data, 2018)

Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying. - Xianbin Hong; Gautam Pal; Sheng-Uei Guan; Prudence W. H. Wong; Dawei Liu 001; Ka Lok Man; Xin Huang 005 (HPCCT/BDAI, 2019)

Lifelong Machine Learning and root cause analysis for large-scale cancer patient data. - Gautam Pal; Xianbin Hong; Zhuo Wang; Hongyi Wu; Gangmin Li; Katie Atkinson (J. Big Data, 2019)

Managing Heterogeneous Data on a Big Data Platform: A Multi-criteria Decision Making Model for Data-Intensive Science. - Gautam Pal; Katie Atkinson; Gangmin Li (BigComp, 2020)

Multimodal approach for big data analytics and applications - Gautam Pal (2021)

Fall detection method based on Spatio-temporal feature fusion using combined two-channel classification. - Anurag De; Ashim Saha; Praveen Kumar 005; Gautam Pal (Multim. Tools Appl., 2022)

An efficient system using implicit feedback and lifelong learning approach to improve recommendation. - Gautam Pal (J. Supercomput., 2022)

Fall detection approach based on combined two-channel body activity classification for innovative indoor environment. - Anurag De; Ashim Saha; Praveen Kumar 005; Gautam Pal (J. Ambient Intell. Humaniz. Comput., 2023)

Real-time user clickstream behavior analysis based on apache storm streaming. - Gautam Pal; Katie Atkinson; Gangmin Li (Electron. Commer. Res., 2023)