Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems. - Gaurav Singh 001; Amin Mantrach; Fabrizio Silvestri (CLEF, 2016)

Predicting Branch Visits and Upselling using Temporal Banking Data. - Sandra Mitrovic; Gaurav Singh 001 (CoRR, 2016)

Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings. - Gaurav Singh 001; Fabrizio Silvestri; John Shawe-Taylor (CoRR, 2016)

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation. - Gaurav Singh 001; Iain James Marshall; James Thomas 001; John Shawe-Taylor; Byron C. Wallace (CIKM, 2017)

Identifying Diagnostic Test Accuracy Publications using a Deep Model. - Gaurav Singh 001; Iain James Marshall; James Thomas 001; Byron C. Wallace (CLEF (Working Notes), 2017)

Scalable RFM-enriched Representation Learning for Churn Prediction. - Sandra Mitrovic; Gaurav Singh 001; Bart Baesens; Wilfried Lemahieu; Jochen De Weerdt (DSAA, 2017)

Benefits of Using Symmetric Loss in Recommender Systems. - Gaurav Singh 001; Sandra Mitrovic (ECIR, 2018)

Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. - Gaurav Singh 001; James Thomas 001; Iain James Marshall; John Shawe-Taylor; Byron C. Wallace (EMNLP, 2018)

Improving Active Learning in Systematic Reviews. - Gaurav Singh 001; James Thomas 001; John Shawe-Taylor (CoRR, 2018)

Faster Convergence & Generalization in DNNs. - Gaurav Singh 001; John Shawe-Taylor (CoRR, 2018)

Relation Extraction using Explicit Context Conditioning. - Gaurav Singh 001; Parminder Bhatia (NAACL-HLT (1), 2019)

Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation. - Gaurav Singh 001; Zahra Sabet; John Shawe-Taylor; James Thomas 001 (CoRR, 2019)

Text classification. - Gaurav Singh 001 (2019)