2 citations · 3 across the 5 of their papers we have counts for
6 papers
DEXTER: An end-to-end system to extract table contents from electronic medical health documents
Nandhinee PR, Harinath Krishnamoorthy, Koushik Srivatsan +2
In this paper, we propose DEXTER, an end to end system to extract information from tables present in medical health documents, such as electronic health records (EHR) and explanati…
RE-Tagger: A light-weight Real-Estate Image Classifier
Prateek Chhikara, Anil Goyal, Chirag Sharma
Real-estate image tagging is one of the essential use-cases to save efforts involved in manual annotation and enhance the user experience. This paper proposes an end-to-end pipelin…
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
Anil Goyal, Jihed Khiari
In this paper, we propose a diversity-aware ensemble learning based algorithm, referred to as DAMVI, to deal with imbalanced binary classification tasks. Specifically, after learni…
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Anil Goyal, Emilie Morvant, Pascal Germain +1
In this paper we propose a boosting based multiview learning algorithm, referred to as PB-MVBoost, which iteratively learns i) weights over view-specific voters capturing view-spec…
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
Anil Goyal, Emilie Morvant, Massih-Reza Amini
We tackle the issue of classifier combinations when observations have multiple views. Our method jointly learns view-specific weighted majority vote classifiers (i.e. for each view…
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
Anil Goyal, Emilie Morvant, Pascal Germain +1
We study a two-level multiview learning with more than two views under the PAC-Bayesian framework. This approach, sometimes referred as late fusion, consists in learning sequential…