Nitesh Chawla

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University of Notre Dame

United States

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Recent Grants

Grant: Close

HDR: DSC: Interdisciplinary Traineeship for Socially Responsible and Engaged Data Scientists

Open Date: 2019-10-01

Close Date: 2022-09-30

Grant: Close

EAGER: Developing scalable benchmark mini-apps for graph engine comparison

Open Date: 2016-08-01

Close Date: 2019-07-31

Grant: Close

II-New: Infrastructure for Supporting Biomedical Application Algorithms, Runtime Development and Resource Management

Open Date: 2016-08-01

Close Date: 2019-07-31

Grant: Close

Student Travel Support for the 2015 SIAM International Conference on Data Mining

Open Date: 2015-04-01

Close Date: 2017-03-31

Grant: Close

Coastal SEES Collaborative Research: Changes in Ship-borne Introductions of Invasive Species in Coupled Natural-human Systems: Infrastructure, Global Trade, Climate and Policy

Open Date: 2014-09-01

Close Date: 2017-09-30

Articles (18)

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2022

Collaborators (7)

Meng Jiang

Assistant Professor

University of Notre Dame

UNITED STATES

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Tomasz Kajdanowicz

Head of the Department

Wroclaw University of Science and Technology

POLAND

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Kara Andres

Assistant Professor

Illinois State University

UNITED STATES

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Priscilla Jiménez

Grinnell College

UNITED STATES

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Rein Brys

Research Institute for Nature and Forest

BELGIUM

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Beenish Moalla Chaudhry

UNITED STATES

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Erin Grey

Assistant Professor of Aquatic Genetics

University of Maine

UNITED STATES

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Nitesh Chawla

Research Interests

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Recent Grants

Articles (18)

Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations (Frontiers in Big Data, (2023), 6, (1086212), 10.3389/fdata.2023.1086212)

FairMOE: counterfactually-fair mixture of experts with levels of interpretability

Understanding CNN fragility when learning with imbalanced data

Understanding imbalanced data: XAI & interpretable ML framework

Environment and shipping drive environmental DNA beta‐diversity among commercial ports

A community focused approach toward making healthy and affordable daily diet recommendations

Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows

Information fusion via symbolic regression: A tutorial in the context of human health

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning

Graph Barlow Twins: A self-supervised representation learning framework for graphs

Successful Aging for Community-Dwelling Older Adults: An Experimental Study with a Tablet App

AttrE2vec: Unsupervised attributed edge representation learning

A Survey on Healthy Food Decision Influences Through Technological Innovations

Data-driven testing program improves detection of COVID-19 cases and reduces community transmission

Deep Multimodal Complementarity Learning

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

Predicting terrorist attacks in the United States using localized news data

Recipe Recommendation With Hierarchical Graph Attention Network

Collaborators (7)

Meng Jiang

Tomasz Kajdanowicz

Kara Andres

Priscilla Jiménez

Rein Brys

Beenish Moalla Chaudhry

Erin Grey

Make your next move.

Nitesh Chawla

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (18)

Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations (Frontiers in Big Data, (2023), 6, (1086212), 10.3389/fdata.2023.1086212)

FairMOE: counterfactually-fair mixture of experts with levels of interpretability

Understanding CNN fragility when learning with imbalanced data

Understanding imbalanced data: XAI &amp; interpretable ML framework

Environment and shipping drive environmental DNA beta‐diversity among commercial ports

A community focused approach toward making healthy and affordable daily diet recommendations

Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows

Information fusion via symbolic regression: A tutorial in the context of human health

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning

Graph Barlow Twins: A self-supervised representation learning framework for graphs

Successful Aging for Community-Dwelling Older Adults: An Experimental Study with a Tablet App

AttrE2vec: Unsupervised attributed edge representation learning

A Survey on Healthy Food Decision Influences Through Technological Innovations

Data-driven testing program improves detection of COVID-19 cases and reduces community transmission

Deep Multimodal Complementarity Learning

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

Predicting terrorist attacks in the United States using localized news data

Recipe Recommendation With Hierarchical Graph Attention Network

Collaborators (7)

Meng Jiang

Tomasz Kajdanowicz

Kara Andres

Priscilla Jiménez

Rein Brys

Beenish Moalla Chaudhry

Erin Grey

Make your next move.

Understanding imbalanced data: XAI & interpretable ML framework