Nitesh V. Chawla - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 295

2024

Graph Neural Prompting with Large Language ModelsYijun Tian 0001, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu. AAAI 2024: 19080-19088 [doi]

Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla. AAAI 2024: 22707 [doi]

2023

Heterogeneous Graph Masked AutoencodersYijun Tian 0001, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla. AAAI 2023: 9997-10005 [doi]

Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and EfficiencyYijun Tian 0001, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang 0001, Nitesh V. Chawla. iclr 2023: [doi]

KDD Workshop on Machine Learning in FinanceLeman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie. kdd 2023: 5863-5864 [doi]

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based LearningDerek Cheng, Dhaval Patel 0002, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu 0007, Nitesh V. Chawla, James Bailey 0001. kdd 2023: 5853-5854 [doi]

Efficient Augmentation for Imbalanced Deep LearningDamien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla. icde 2023: 1433-1446 [doi]

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced DataDamien Dablain, Bartosz Krawczyk, Nitesh V. Chawla. tnn, 34(9):6390-6404, September 2023. [doi]

Fairness-Aware Mixture of Experts with Interpretability BudgetsJoe Germino, Nuno Moniz, Nitesh V. Chawla. dis 2023: 341-355 [doi]

Linkless Link Prediction via Relational DistillationZhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao 0003. icml 2023: 12012-12033 [doi]

2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic PerformanceZhichun Guo, Jun Tao 0002, Siming Chen 0001, Nitesh V. Chawla, Chaoli Wang 0001. tvcg, 29(8):3569-3585, August 2023. [doi]

Boosting Graph Neural Networks via Adaptive Knowledge DistillationZhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian 0001, Chuxu Zhang, Nitesh V. Chawla. AAAI 2023: 7793-7801 [doi]

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasksTaicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang 0001. nips 2023: [doi]

Graph-based Molecular Representation LearningZhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian 0001, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang 0001, Wei Wang, Chuxu Zhang, Nitesh V. Chawla. IJCAI 2023: 6638-6646 [doi]

Deep Ensembles for Graphs with Higher-order DependenciesSteven J. Krieg, William C. Burgis, Patrick M. Soga, Nitesh V. Chawla. iclr 2023: [doi]

Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing FlowsYihong Ma, Md Nafee Al Islam, Jane Cleland-Huang, Nitesh V. Chawla. expert, 38(2):46-54, March - April 2023. [doi]

Introduction to the Special Track on Artificial Intelligence and COVID-19Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla. jair, 76:523-525, 2023. [doi]

Information fusion via symbolic regression: A tutorial in the context of human healthJennifer J. Schnur, Nitesh V. Chawla. inffus, 92:326-335, April 2023. [doi]

Deep Multimodal Complementarity LearningDaheng Wang, Tong Zhao 0003, Wenhao Yu 0002, Nitesh V. Chawla, Meng Jiang 0001. tnn, 34(12):10213-10224, December 2023. [doi]

Modeling Co-Evolution of Attributed and Structural Information in Graph SequenceDaheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao 0003, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang 0001. tkde, 35(2):1817-1830, 2023. [doi]

Chasing All-Round Graph Representation Robustness: Model, Training, and OptimizationChunhui Zhang, Yijun Tian 0001, Mingxuan Ju, Zheyuan Liu 0010, Yanfang Ye 0001, Nitesh V. Chawla, Chuxu Zhang. iclr 2023: [doi]

Cross-Domain Few-Shot Graph Classification with a Reinforced Task CoordinatorQiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang 0001. AAAI 2023: 4893-4901 [doi]

2022

Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural NetworksYijun Tian 0001, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla. IJCAI 2022: 3473-3479 [doi]

RecipeRec: A Heterogeneous Graph Learning Model for Recipe RecommendationYijun Tian 0001, Chuxu Zhang, Zhichun Guo, Chao Huang 0001, Ronald A. Metoyer, Nitesh V. Chawla. IJCAI 2022: 3466-3472 [doi]

Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information WorkersMary Jean Amon, Stephen M. Mattingly, Aaron Necaise, Gloria Mark, Nitesh V. Chawla, Anind K. Dey, Sidney D'Mello. health, 3(3), 2022. [doi]

Graph Barlow Twins: A self-supervised representation learning framework for graphsPiotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla. kbs, 256:109631, 2022. [doi]

FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsPiotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla. kbs, 236:107453, 2022. [doi]

AttrE2vec: Unsupervised attributed edge representation learningPiotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla. isci, 592:82-96, 2022. [doi]

Formative Evaluation of a Tablet Application to Support Goal-Oriented Care in Community-Dwelling Older AdultsBeenish Moalla Chaudhry, Dipanwita Dasgupta, Nitesh V. Chawla. pacmhci, 6(MHCI):1-21, 2022. [doi]

Toward Graph Minimally-Supervised LearningKaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu 0001. kdd 2022: 4782-4783 [doi]

Graph Minimally-supervised LearningKaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu. wsdm 2022: 1620-1622 [doi]

FakeEdge: Alleviate Dataset Shift in Link PredictionKaiwen Dong, Yijun Tian 0001, Zhichun Guo, Yang Yang 0008, Nitesh V. Chawla. log 2022: 56 [doi]

RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight ControllersMd Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh V. Chawla, Jane Cleland-Huang. RE 2022: 153-165 [doi]

Data-driven testing program improves detection of COVID-19 cases and reduces community transmissionSteven J. Krieg, Carolina Avendano, Evan Grantham-Brown, Aaron Lilienfeld Asbun, Jennifer J. Schnur, Marie Lynn Miranda, Nitesh V. Chawla. npjdm, 5, 2022. [doi]

KDD Workshop on Machine Learning in FinanceSenthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick. kdd 2022: 4882-4883 [doi]

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic ForecastingYihong Ma, Patrick Gérard, Yijun Tian 0001, Zhichun Guo, Nitesh V. Chawla. CIKM 2022: 1481-1490 [doi]

A Survey on Healthy Food Decision Influences Through Technological InnovationsJermaine Marshall, Priscilla Jiménez-Pazmino, Ronald A. Metoyer, Nitesh V. Chawla. health, 3(2), 2022. [doi]

Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive LearningYiyue Qian, Yiming Zhang 0002, Nitesh V. Chawla, Yanfang Ye 0001, Chuxu Zhang. CIKM 2022: 1645-1654 [doi]

Heterogeneous relational reasoning in knowledge graphs with reinforcement learningMandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang 0001, Tomasz Kajdanowicz, Nitesh V. Chawla. inffus, 88:12-21, 2022. [doi]

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time SeriesXian Wu, Chao Huang 0001, Pablo Robles-Granda, Nitesh V. Chawla. tist, 13(6), 2022. [doi]

Few-Shot Learning on GraphsChuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang 0001, Yanfang Ye, Nitesh V. Chawla, Huan Liu 0001. IJCAI 2022: 5662-5669 [doi]

2021

Recipe Representation Learning with NetworksYijun Tian 0001, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla. CIKM 2021: 1824-1833 [doi]

Recipe Recommendation With Hierarchical Graph Attention NetworkYijun Tian 0001, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla. fdata, 4:778417, 2021. [doi]

Teaching Tablet Technology to Older AdultsBeenish M. Chaudhry, Dipanwita Dasgupta, Mona Mohamed, Nitesh V. Chawla. hci 2021: 168-182 [doi]

A Qualitative Usability Evaluation of Tablets and Accessibility Settings by Older AdultsDipanwita Dasgupta, Beenish M. Chaudhry, Nitesh V. Chawla. hci 2021: 183-204 [doi]

An Optimized NL2SQL System for Enterprise Data MartKaiwen Dong, Kai Lu, Xin Xia, David A. Cieslak, Nitesh V. Chawla. pkdd 2021: 335-350 [doi]

Examining Response to Negative Life Events Through Fitness Tracker DataLouis Faust, Keith Feldman, Suwen Lin, Stephen M. Mattingly, Sidney D'Mello, Nitesh V. Chawla. fdgth, 3:659088, 2021. [doi]

Few-Shot Graph Learning for Molecular Property PredictionZhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang 0001, Nitesh V. Chawla. WWW 2021: 2559-2567 [doi]

Biomedical Knowledge Graphs Construction From Conditional StatementsTianwen Jiang, Qingkai Zeng, Tong Zhao 0003, Bing Qin 0001, Ting Liu 0001, Nitesh V. Chawla, Meng Jiang 0001. tcbb, 18(3):823-835, 2021. [doi]

Pandemic Pulse: Unraveling and Modeling Social Signals During the COVID-19 PandemicSteven J. Krieg, Jennifer J. Schnur, Jermaine D. Marshall, Matthew M. Schoenbauer, Nitesh V. Chawla. dgov, 2(2), 2021. [doi]

Machine Learning in FinanceSenthil Kumar, Leman Akoglu, Nitesh V. Chawla, José A. Rodríguez-Serrano, Tanveer A. Faruquie, Saurabh Nagrecha. kdd 2021: 4139-4140 [doi]

Lan: Learning to Augment Noise Tolerance for Self-report Survey LabelsSuwen Lin, Louis Faust, Nitesh V. Chawla. percom 2021: 1-10 [doi]

motif2vec: Semantic-aware Representation Learning for Wearables' Time Series DataSuwen Lin, Xian Wu, Nitesh V. Chawla. dsaa 2021: 1-10 [doi]

Predicting Job Performance Using Mobile SensingShayan Mirjafari, Hessam Bagherinezhad, Subigya Nepal, Gonzalo J. Martínez, Koustuv Saha, Mikio Obuchi, Pino G. Audia, Nitesh V. Chawla, Anind K. Dey, Aaron Striegel, Andrew T. Campbell. pervasive, 20(4):43-51, 2021. [doi]

Unified Representation of Twitter and Online News Using Graph and EntitiesMunira Syed, Daheng Wang, Meng Jiang 0001, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla. fdata, 4:699070, 2021. [doi]

Dynamic Attributed Graph Prediction with Conditional Normalizing FlowsDaheng Wang, Tong Zhao 0003, Nitesh V. Chawla, Meng Jiang 0001. icdm 2021: 1385-1390 [doi]

Modeling Complementarity in Behavior Data with Multi-Type Itemset EmbeddingDaheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang 0001. tist, 12(4), 2021. [doi]

Inductive Contextual Relation Learning for PersonalizationChuxu Zhang, Huaxiu Yao, Lu Yu 0006, Chao Huang 0001, Dongjin Song, Haifeng Chen, Meng Jiang 0001, Nitesh V. Chawla. tois, 39(3), 2021. [doi]

2020

Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical SystemsChao Huang 0001, Dong Wang 0002, Nitesh V. Chawla. tbd, 6(4):702-713, 2020. [doi]

Deviations from normal bedtimes are associated with short-term increases in resting heart rateLouis Faust, Keith Feldman, Stephen M. Mattingly, David Hachen, Nitesh V. Chawla. npjdm, 3, 2020. [doi]

GraSeq: Graph and Sequence Fusion Learning for Molecular Property PredictionZhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang 0001, Nitesh V. Chawla. CIKM 2020: 435-443 [doi]

Identifying Bridge Users: the Knowledge Transfer Agents in Enterprise Collaboration SystemsPriscilla Jiménez-Pazmino, Trenton Ford, Ronald A. Metoyer, Nitesh V. Chawla. hicss 2020: 1-10 [doi]

Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that MatterSteven J. Krieg, Daniel H. Robertson, Meeta P. Pradhan, Nitesh V. Chawla. ichi 2020: 1-11 [doi]

GrowHON: A Scalable Algorithm for Growing Higher-order Networks of SequencesSteven J. Krieg, Peter M. Kogge, Nitesh V. Chawla. complexnetworks 2021: 485-496 [doi]

Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social NetworkSuman Kundu, Tomasz Kajdanowicz, Przemyslaw Kazienko, Nitesh V. Chawla. access, 8:186653-186662, 2020. [doi]

MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory DataSuwen Lin, Louis Faust, Sidney D'Mello, Gonzalo J. Martínez, Nitesh V. Chawla. bigdataconf 2020: 1089-1096 [doi]

Filling Missing Values on Wearable-Sensory Time Series DataSuwen Lin, Xian Wu, Gonzalo J. Martínez, Nitesh V. Chawla. sdm 2020: 46-54 [doi]

HONEM: Learning Embedding for Higher Order NetworksMandana Saebi, Giovanni Luca Ciampaglia, Lance M. Kaplan, Nitesh V. Chawla. bigdata, 8(4):255-269, 2020. [doi]

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detectionMandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro 0001, Nitesh V. Chawla. epjds, 9(1):15, 2020. [doi]

Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition ApproachJennifer J. Schnur, Ryan Karl, Angélica García-Martínez, Meng Jiang 0001, Nitesh V. Chawla. bibm 2020: 729-734 [doi]

Characterizing Exploratory Behaviors on a Personal Visualization Interface Using Interaction LogsPoorna Talkad Sukumar, Gonzalo J. Martínez, Ted Grover, Gloria Mark, Sidney K. D'Mello, Nitesh V. Chawla, Stephen M. Mattingly, Aaron D. Striegel. vissym 2020: 79-83 [doi]

Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph EmbeddingsMunira Syed, Daheng Wang, Meng Jiang 0001, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla. asunam 2020: 32-36 [doi]

Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional NetworkPingjie Tang, Meng Jiang 0001, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla. AAAI 2020: 9024-9031 [doi]

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User BehaviorsDaheng Wang, Meng Jiang 0001, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla. kdd 2020: 2581-2589 [doi]

Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event ForecastingXian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla. WWW 2020: 2320-2330 [doi]

Personalized Imputation on Wearable-Sensory Time Series via Knowledge TransferXian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang 0001, Nitesh V. Chawla. CIKM 2020: 1625-1634 [doi]

Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual BanditXian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla. WWW 2020: 995-1005 [doi]

Graph Few-Shot Learning via Knowledge TransferHuaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, JunZhou Huang, Nitesh V. Chawla, Zhenhui Li. AAAI 2020: 6656-6663 [doi]

Multi-modal Network Representation LearningChuxu Zhang, Meng Jiang 0001, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla. kdd 2020: 3557-3558 [doi]

Few-Shot Multi-Hop Relation Reasoning over Knowledge BasesChuxu Zhang, Lu Yu 0006, Mandana Saebi, Meng Jiang 0001, Nitesh V. Chawla. emnlp 2020: 580-585 [doi]

Few-Shot Knowledge Graph CompletionChuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. AAAI 2020: 3041-3048 [doi]

2019

Development and Evaluation of a Web Application for Prenatal Care Coordinators in the United StatesBeenish Moalla Chaudhry, Louis Faust, Nitesh V. Chawla. desrist 2019: 140-156 [doi]

From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based SettingBeenish M. Chaudhry, Louis Faust, Nitesh V. Chawla. mhci 2019: [doi]

What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-AdherenceLouis Faust, Priscilla Jiménez-Pazmino, James K. Holland, Omar Lizardo, David Hachen, Nitesh V. Chawla. ph 2019: 216-224 [doi]

Online Purchase Prediction via Multi-Scale Modeling of Behavior DynamicsChao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla. kdd 2019: 2613-2622 [doi]

Deep Prototypical Networks for Imbalanced Time Series Classification under Data ScarcityChao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla. CIKM 2019: 2141-2144 [doi]

Similarity-Aware Network Embedding with Self-Paced LearningChao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla. CIKM 2019: 2113-2116 [doi]

CTGA: Graph-based Biomedical Literature SearchTianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin 0001, Ting Liu 0001, Nitesh V. Chawla, Meng Jiang 0001. bibm 2019: 395-400 [doi]

The Role of: A Novel Scientific Knowledge Graph Representation and Construction ModelTianwen Jiang, Tong Zhao, Bing Qin 0001, Ting Liu 0001, Nitesh V. Chawla, Meng Jiang 0001. kdd 2019: 1634-1642 [doi]

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific TextTianwen Jiang, Tong Zhao, Bing Qin 0001, Ting Liu 0001, Nitesh V. Chawla, Meng Jiang 0001. emnlp 2019: 302-312 [doi]

Multi-Label Learning from CrowdsShao-Yuan Li, Yuan Jiang 0001, Nitesh V. Chawla, Zhi-Hua Zhou. tkde, 31(7):1369-1382, 2019. [doi]

Outside the Hospital Walls: Associations of Value Based Care Metrics and Community Health FactorsCatherine Markley, Keith Feldman, Nitesh V. Chawla. bhi 2019: 1-4 [doi]

Statistical Analysis and Modeling of Heterogeneous Workloads on Amazon's Public Cloud InfrastructureFrederick Nwanganga, Nitesh V. Chawla, Gregory R. Madey. hicss 2018: 1-10 [doi]

Implicit and Explicit Emotions in MOOCsMunira Syed, Malolan Chetlur, Shazia Afzal, G. Alex Ambrose, Nitesh V. Chawla. edm 2019: [doi]

Integrated Closed-loop Learning Analytics Scheme in a First Year Experience CourseMunira Syed, Trunojoyo Anggara, Alison Lanski, Xiaojing Duan, G. Alex Ambrose, Nitesh V. Chawla. LAK 2019: 521-530 [doi]

Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANsMunira Syed, Jermaine Marshall, Aastha Nigam, Nitesh V. Chawla. csonet 2019: 363-370 [doi]

Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity MapsJun Tao, Martin Imre, Chaoli Wang, Nitesh V. Chawla, Hanqi Guo, Gokhan Sever, Seung-Hyun Kim. tvcg, 25(1):1236-1245, 2019. [doi]

TUBE: Embedding Behavior Outcomes for Predicting SuccessDaheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang. kdd 2019: 1682-1690 [doi]

Neural Tensor Factorization for Temporal Interaction LearningXian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla. wsdm 2019: 537-545 [doi]

All Publications

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Nitesh V. Chawla'

Viewing Publication 1 - 100 from 295

2024

2023

2022

2021

2020

2019

All Publications

Filter by Year [-]OR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag [+]OR AND NOT 1

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Nitesh V. Chawla'

Viewing Publication 1 - 100 from 295

2024

2023

2022

2021

2020

2019

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1