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N

Nitesh V. Chawla

university of notre dame

72H-index
626Paper Count
6.0WCitation Count
Published Papers 66
Publication Date
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Organic Chemistry as a Catalyst for AI Innovation: Challenges; Methods; and Emerging Paradigms
errChemical Reviews
IF55.8
err2026-06-17
err0
errOAAI
errNitesh V. Chawla; Gisela A. González-Montiel; Kehan Guo; Taicheng Guo; Ting Hua; Xiaobao Huang; Eric Inae; Meng Jiang; Khiem Le; Gang Liu; J. Charlie Maier; Nuno Moniz; Brenda Nogueira; Deng Pan; Bryan V. Piguave; Brett M. Savoie; Andrew B. Schofield; Yili Shen; Alexander Taylor; Xiangliang Zhang; Yihan Zhu; Olaf Wiest
errShare
errSave
Benchmarking large language models on safety risks in scientific laboratories
errNature Machine Intelligence
IF23.9
err2026-01-14
err0
PREAI
errYujun Zhou; Jingdong Yang; Yue Huang; Kehan Guo; Zoe Emory; Bikram Ghosh; Amita Bedar; Sujay Shekar; Zhenwen Liang; Pin-Yu Chen; Tian Gao; Werner Geyer; Nuno Moniz; Nitesh V. Chawla; Xiangliang Zhang
errShare
errSave
WildInsight: a Chatbot for Wildlife Conservation Research
errMACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. APPLIED DATA SCIENCE TRACK AND DEMO TRACK, ECML PKDD 2025, PT X
IF0
err2026-01-01
err0
PREAI
errSokol, Anna; Zhang, Xiangliang; Chawla, Nitesh V.
errShare
errSave
Embedding social determinants in mHealth for pediatric oncology: co-designing a patient-centred tool for febrile neutropenia in resource-limited settings
errInternational Journal for Equity in Health
IF4.1
err2025-12-25
err0
errOAAI
errAngélica García-Martínez; Edson Serván-Mori; Horacio Márquez-González; Jennifer Schnur; Emanuel Orozco; Paula Andrea Cárdenas Torres; Nitesh V. Chawla
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errSave
Differentially-private data synthetisation for efficient re-identification risk control
errMachine Learning
IF2.9
err2025-06-06
err0
errOAAI
errTânia Carvalho; Nuno Moniz; Luís Antunes; Nitesh Chawla
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errSave
Do multimodal large language models understand welding?
errINFORMATION FUSION
IF15.5
err2025-05-15
err0
PREAI
errKhvatskii, Grigorii; Lee, Yong Suk; Angst, Corey; Gibbs, Maria; Landers, Robert; Chawla, Nitesh V.
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errSave
Social and economic predictors of under- five stunting in Mexico: a comprehensive approach through the XGB model
errJOURNAL OF GLOBAL HEALTH
IF4.3
err2025-03-14
err0
errOAAI
errFogarty, Brian; Garcia-Martinez, Angelica; Chawla, Nitesh, V
errShare
errSave
FairMOE: counterfactually-fair mixture of experts with levels of interpretability
errMACHINE LEARNING
IF2.9
err2024-07-08
err0
errOAAI
errGermino, Joe; Moniz, Nuno; Chawla, Nitesh V.
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errSave
Understanding imbalanced data: XAI & interpretable ML framework
errMACHINE LEARNING
IF2.9
err2024-01-16
err1
errOAAI
errDablain, Damien; Bellinger, Colin; Krawczyk, Bartosz; Aha, David W.; Chawla, Nitesh
errShare
errSave
Deep Multimodal Complementarity Learning
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2023-12-01
err9
PREAI
errWang, Daheng; Zhao, Tong; Yu, Wenhao; Chawla, Nitesh, V; Jiang, Meng
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errSave
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2023-09-01
err154
errOAAI
errDablain, Damien; Krawczyk, Bartosz; Chawla, Nitesh, V
errShare
errSave
Understanding CNN fragility when learning with imbalanced data
errMACHINE LEARNING
IF2.9
err2023-04-11
err14
errOAAI
errDablain, Damien; Jacobson, Kristen N.; Bellinger, Colin; Roberts, Mark; Chawla, Nitesh V.
errShare
errSave
Information fusion via symbolic regression: A tutorial in the context of human health
errINFORMATION FUSION
IF15.5
err2023-04-01
err4
errOAAI
errSchnur, Jennifer J.; Chawla, Nitesh, V
errShare
errSave
Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows
errIEEE INTELLIGENT SYSTEMS
IF6.1
err2023-03-01
err5
PREAI
errMa, Yihong; Islam, Md Nafee Al; Cleland-Huang, Jane; Chawla, Nitesh V.
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errSave
On the use of real-world datasets for reaction yield prediction
errCHEMICAL SCIENCE
IF7.4
err2023-01-01
err41
errOAAI
errSaebi, Mandana; Nan, Bozhao; Herr, John E. E.; Wahlers, Jessica; Guo, Zhichun; Zuranski, Andrzej M. M.; Kogej, Thierry; Norrby, Per-Ola; Doyle, Abigail G. G.; Chawla, Nitesh V. V.; Wiest, Olaf
errShare
errSave
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning
errINFORMATION FUSION
IF15.5
err2022-12-01
err7
errOAAI
errSaebi, Mandana; Kreig, Steven; Zhang, Chuxu; Jiang, Meng; Kajdanowicz, Tomasz; Chawla, Nitesh, V
errShare
errSave
Graph Barlow Twins: A self-supervised representation learning framework for graphs
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2022-11-01
err44
errOAAI
errBielak, Piotr; Kajdanowicz, Tomasz; Chawla, Nitesh V.
errShare
errSave
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
errACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
IF6.6
err2022-09-30
err0
errOAAI
errWu, Xian; Huang, Chao; Robles-Granda, Pablo; Chawla, Nitesh, V
errShare
errSave
Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2 in a University Student Population, August-November 2020
errPUBLIC HEALTH REPORTS
IF2.5
err2022-07-16
err3
errOAAI
errKrieg, Steven J.; Schnur, Jennifer J.; Miranda, Marie Lynn; Pfrender, Michael E.; Chawla, Nitesh, V
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errSave
Data-driven testing program improves detection of COVID-19 cases and reduces community transmission
errNPJ DIGITAL MEDICINE
IF15.1
err2022-02-11
err2
errOAAI
errKrieg, Steven J.; Avendano, Carolina; Grantham-Brown, Evan; Asbun, Aaron Lilienfeld; Schnur, Jennifer J.; Miranda, Marie Lynn; Chawla, Nitesh, V
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
F
Francisco Herrera
H-index: 169 · Papers: 1.3K
Y
Yaochu Jin
H-index: 116 · Papers: 1.0K
X
Xin Yao
H-index: 116 · Papers: 1.5K
刘
刘洋 (Yang Liu)
H-index: 106 · Papers: 3.5K
M
Michael W. Varner
H-index: 105 · Papers: 906
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