Mohit Kumar | DeepAI

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Featured Co-authors

Stephan Günnemann
100 publications
Bryan Hooi
67 publications
Andrea Passerini
42 publications
Christos Faloutsos
39 publications
Stefano Teso
37 publications
Neil Shah
35 publications
Luc De Raedt
34 publications
Srijan Kumar
27 publications
Alex Beutel
25 publications
Leman Akoglu
24 publications
Sukhpal Singh Gill
18 publications

∙ 06/28/2023

Blockchain inspired secure and reliable data exchange architecture for cyber-physical healthcare system 4.0

A cyber-physical system is considered to be a collection of strongly cou...

0 Mohit Kumar, et al. ∙

∙ 04/14/2022

An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework

In recent years, 5G network systems start to offer communication infrast...

0 Jitendra Kumar Samriya, et al. ∙

∙ 02/08/2022

Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

Combinatorial optimisation problems are ubiquitous in artificial intelli...

0 Mohit Kumar, et al. ∙

∙ 08/02/2021

Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learning

Low-cost particulate matter sensors are transforming air quality monitor...

0 Kalpit Yadav, et al. ∙

∙ 07/15/2021

Learning Mixed-Integer Linear Programs from Contextual Examples

Mixed-integer linear programs (MILPs) are widely used in artificial inte...

0 Mohit Kumar, et al. ∙

∙ 05/10/2021

Differentially Private Transfer Learning with Conditionally Deep Autoencoders

This paper considers the problem of differentially private semi-supervis...

0 Mohit Kumar, et al. ∙

∙ 09/21/2020

Machine Guides, Human Supervises: Interactive Learning with Global Explanations

We introduce explanatory guided learning (XGL), a novel interactive lear...

11 Teodora Popordanoska, et al. ∙

∙ 07/20/2020

Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning

Recent work has demonstrated the promise of combining local explanations...

32 Teodora Popordanoska, et al. ∙

∙ 08/01/2018

Did We Get It Right? Predicting Query Performance in E-commerce Search

In this paper, we address the problem of evaluating whether results serv...

0 Rohan Kumar, et al. ∙

∙ 05/29/2018

Automating Personnel Rostering by Learning Constraints Using Tensors

Many problems in operations research require that constraints be specifi...

0 Mohit Kumar, et al. ∙

∙ 11/22/2017

Decomposition Strategies for Constructive Preference Elicitation

We tackle the problem of constructive preference elicitation, that is th...

0 Paolo Dragone, et al. ∙

∙ 03/30/2017

FairJudge: Trustworthy User Prediction in Rating Platforms

Rating platforms enable large-scale collection of user opinion about ite...

0 Srijan Kumar, et al. ∙

∙ 11/19/2015

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection

Review fraud is a pervasive problem in online commerce, in which fraudul...

0 Bryan Hooi, et al. ∙

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