Nested Dolls: Towards Unsupervised Clustering of Web Tables. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2018)

Towards Tabular Embeddings, Training the Relational Models. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2020)

WebLens: Towards Web-scale Data Integration, Training the Models. - Rituparna Khan; Michael N. Gubanov (IEEE BigData, 2020)

Rapid Antibiotic Susceptibility Analysis Using Microscopy and Machine Learning. - Anna Pyayt; Rituparna Khan; Robert Brzozowski; Prahathees Eswara; Michael N. Gubanov (IEEE BigData, 2020)

WebLens: Towards Interactive Large-scale Structured Data Profiling. - Rituparna Khan; Michael N. Gubanov (CIKM, 2020)

Learning Tabular Embeddings at Web Scale. - Sophie Pavia; Montasir Shams; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (IEEE BigData, 2021)

Towards Unveiling Dark Web Structured Data. - Montasir Shams; Sophie Pavia; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (IEEE BigData, 2021)

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment. - Sophie Pavia; Rituparna Khan; Anna Pyayt; Michael N. Gubanov (SIGMOD Conference, 2022)

Assessing the performance of methods for cell clustering from single-cell DNA sequencing data. - Rituparna Khan; Xian F. Mallory (PLoS Comput. Biol., 2023)