10 citations · 19 across the 9 of their papers we have counts for
11 papers
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta, Debasis Ganguly, Derek Greene +1
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP).…
An Analysis of Variations in the Effectiveness of Query Performance Prediction
Debasis Ganguly, Suchana Datta, Mandar Mitra +1
A query performance predictor estimates the retrieval effectiveness of an IR system for a given query. An important characteristic of QPP evaluation is that, since the ground truth…
Multi-Objective Few-shot Learning for Fair Classification
Ishani Mondal, Procheta Sen, Debasis Ganguly
In this paper, we propose a general framework for mitigating the disparities of the predicted classes with respect to secondary attributes within the data (e.g., race, gender etc.)…
TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
Yufang Hou, Charles Jochim, Martin Gleize +2
Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers. However, most previous work on information extraction for scientific…
ALEX: Active Learning based Enhancement of a Model's Explainability
Ishani Mondal, Debasis Ganguly
An active learning (AL) algorithm seeks to construct an effective classifier with a minimal number of labeled examples in a bootstrapping manner. While standard AL heuristics, such…
Community Structure aware Embedding of Nodes in a Network
Swarup Chattopadhyay, Debasis Ganguly
Detecting communities or the modular structure of real-life networks (e.g. a social network or a product purchase network) is an important task because the way a network functions…