University of Waterloo at the TREC 2013 Temporal Summarization Track. - Gaurav Baruah; Rakesh Guttikonda; Adam Roegiest; Olga Vechtomova (TREC, 2013)

The effect of expanding relevance judgements with duplicates. - Gaurav Baruah; Adam Roegiest; Mark D. Smucker (SIGIR, 2014)

Pooling for User-Oriented Evaluation Measures. - Gaurav Baruah; Adam Roegiest; Mark D. Smucker (ICTIR, 2015)

Evaluating Streams of Evolving News Events. - Gaurav Baruah; Mark D. Smucker; Charles L. A. Clarke (SIGIR, 2015)

Optimizing Nugget Annotations with Active Learning. - Gaurav Baruah; Haotian Zhang 001; Rakesh Guttikonda; Jimmy Lin; Mark D. Smucker; Olga Vechtomova (CIKM, 2016)

Searching from Mars. - Jimmy Lin; Charles L. A. Clarke; Gaurav Baruah (IEEE Internet Comput., 2016)

Filtering News from Document Streams: Evaluation Aspects and Modeled Stream Utility. - Gaurav Baruah (2016)

A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. - Gaurav Baruah; Richard McCreadie; Jimmy Lin (CIKM, 2017)

The Pareto Frontier of Utility Models as a Framework for Evaluating Push Notification Systems. - Gaurav Baruah; Jimmy Lin (ICTIR, 2017)

On the Reusability of "Living Labs" Test Collections: : A Case Study of Real-Time Summarization. - Luchen Tan; Gaurav Baruah; Jimmy Lin (SIGIR, 2017)

Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering. - Royal Sequiera; Gaurav Baruah; Zhucheng Tu; Salman Mohammed; Jinfeng Rao; Haotian Zhang 001; Jimmy Lin (CoRR, 2017)

Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost. - Cooper Midroni; Peter J. Leimbigler; Gaurav Baruah; Maheedhar Kolla; Alfred J. Whitehead; Yan Fossat (KDH@IJCAI, 2018)

Klick Labs at CL-SciSumm 2018. - Gaurav Baruah; Maheedhar Kolla (BIRNDL@SIGIR, 2018)

KlickLabs at the TAC 2018 Drug-drug Interaction Extraction from Drug Labels Track. - Gaurav Baruah; Maheedhar Kolla (TAC, 2018)

KlickLabs at TREC 2018 Precision Medicine track. - Lediona Nishani; Maheedhar Kolla; Gaurav Baruah (TREC, 2018)

Predicting Glycaemia in Type 1 Diabetes Patients: Experiments in Feature Engineering and Data Imputation. - Jouhyun Jeon; Peter J. Leimbigler; Gaurav Baruah; Michael H. Li; Yan Fossat; Alfred J. Whitehead (J. Heal. Informatics Res., 2020)