OpenML: A Collaborative Science Platform. - Jan N. van Rijn; Bernd Bischl; Luís Torgo; Bo Gao 002; Venkatesh Umaashankar; Simon Fischer 001; Patrick Winter; Bernd Wiswedel; Michael R. Berthold; Joaquin Vanschoren (ECML/PKDD (3), 2013)

Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks. - Abdul Arfat Mohammed; Venkatesh Umaashankar (ICACCI, 2018)

Label Frequency Transformation for Multi-Label Multi-Class Text Classification. - Raghavan A. K.; Venkatesh Umaashankar; Gautham Krishna Gudur (KONVENS, 2019)

Multi-Label Multi-Class Hierarchical Classification using Convolutional Seq2Seq. - Venkatesh Umaashankar; Girish Shanmugam S (KONVENS, 2019)

Ask less - Scale Market Research without Annoying Your Customers. - Venkatesh Umaashankar; Girish Shanmugam S (CoRR, 2019)

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. - Gautham Krishna Gudur; Prahalathan Sundaramoorthy; Venkatesh Umaashankar (CoRR, 2019)

Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization. - Venkatesh Umaashankar; Girish Shanmugam S; Aditi Prakash (CoRR, 2019)

Mobility Prediction for 5G Core Networks. - Jaeseong Jeong; Dinand Roeland; Jesper Derehag; Åke Ai Johansson; Venkatesh Umaashankar; Gordon Sun; Göran Eriksson (IEEE Commun. Stand. Mag., 2021)

Prediction of Throughput Degradation from Trouble Frequencies, given Environmental Unknowns. - Joy Bose; Ranjani H. G; Serene Banerjee; Venkatesh Umaashankar (COMSNETS, 2022)

Time series based approach for detecting Passive Intermodulation occurrences in cellular network. - H. G. Ranjani; Sleeba Paul Puthepurakel; Arthur Brisebois; Serene Banerjee; Venkatesh Umaashankar (COMSNETS, 2022)