Nitesh Chawla
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Computer Science
Nitesh Chawla's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
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Why Is Nitesh Chawla Influential?
(Suggest an Edit or Addition)According to Wikipedia, Nitesh V. Chawla is a computer scientist and data scientist currently serving as the Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame. He is the Founding Director of the Lucy Family Institute for Data & Society. Chawla's research expertise lies in machine learning, data science, and network science. He is also the co-founder of Aunalytics, a data science software and cloud computing company. Chawla is a fellow of the Association for Computing Machinery and a Fellow of the Institute of Electrical and Electronics Engineers . He has received multiple awards, including the 1st Source Bank Commercialization Award in 2017 and the IBM Big Data Award in 2013. One of Chawla's most recognized publications, with a citation count of over 24,000, is the research paper titled "SMOTE: Synthetic Minority Over-sampling Technique." Chawla's research has garnered a citation count of over 56,000 and an H-index of 78.
Nitesh Chawla's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- SMOTE: Synthetic Minority Over-sampling Technique (2002) (17711)
- Editorial: special issue on learning from imbalanced data sets (2004) (1867)
- metapath2vec: Scalable Representation Learning for Heterogeneous Networks (2017) (1540)
- SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003) (1518)
- Data Mining for Imbalanced Datasets: An Overview (2005) (1308)
- SVMs Modeling for Highly Imbalanced Classification (2009) (837)
- SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary (2018) (766)
- A unifying view on dataset shift in classification (2012) (692)
- New perspectives and methods in link prediction (2010) (685)
- Heterogeneous Graph Neural Network (2019) (672)
- SPECIAL ISSUE ON LEARNING FROM IMBALANCED DATA SETS (2004) (409)
- Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework (2013) (376)
- A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (2018) (375)
- C4.5 and Imbalanced Data sets: Investigating the eect of sampling method, probabilistic estimate, and decision tree structure (2003) (285)
- Link Prediction and Recommendation across Heterogeneous Social Networks (2012) (267)
- Learning Decision Trees for Unbalanced Data (2008) (267)
- When will it happen?: relationship prediction in heterogeneous information networks (2012) (254)
- Automatically countering imbalance and its empirical relationship to cost (2008) (245)
- Learning from streaming data with concept drift and imbalance: an overview (2012) (241)
- Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum] (2014) (231)
- Hellinger distance decision trees are robust and skew-insensitive (2011) (221)
- Combating imbalance in network intrusion datasets (2006) (221)
- Inferring user demographics and social strategies in mobile social networks (2014) (202)
- Identifying and evaluating community structure in complex networks (2010) (197)
- Evaluating link prediction methods (2015) (193)
- Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier (2017) (193)
- Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains (2011) (174)
- An insight into imbalanced Big Data classification: outcomes and challenges (2017) (165)
- A Robust Decision Tree Algorithm for Imbalanced Data Sets (2010) (162)
- Discovering Knowledge in Data: An Introduction to Data Mining (2005) (155)
- Representing higher-order dependencies in networks (2015) (141)
- Time to CARE: a collaborative engine for practical disease prediction (2010) (139)
- Multi-relational Link Prediction in Heterogeneous Information Networks (2011) (137)
- Learning Ensembles from Bites: A Scalable and Accurate Approach (2004) (136)
- A study in machine learning from imbalanced data for sentence boundary detection in speech (2006) (132)
- Community Detection in a Large Real-World Social Network (2008) (131)
- Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science (2011) (128)
- Multivariate and multiscale dependence in the global climate system revealed through complex networks (2012) (127)
- Predicting Links in Multi-relational and Heterogeneous Networks (2012) (107)
- Predicting individual disease risk based on medical history (2008) (107)
- Learning to predict gender from iris images (2007) (103)
- Classification and knowledge discovery in protein databases (2004) (101)
- Information Gain, Correlation and Support Vector Machines (2006) (99)
- Few-Shot Knowledge Graph Completion (2019) (99)
- DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction (2018) (95)
- Graph Few-shot Learning via Knowledge Transfer (2019) (93)
- Will This Paper Increase Your h-index?: Scientific Impact Prediction (2014) (87)
- Decision tree learning on very large data sets (1998) (86)
- A Review on Quantification Learning (2017) (85)
- Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery (2009) (84)
- Can Scientific Impact Be Predicted? (2016) (83)
- CoupledLP: Link Prediction in Coupled Networks (2015) (81)
- Learning from Imbalanced Data: Evaluation Matters (2012) (81)
- A network’s gender composition and communication pattern predict women’s leadership success (2019) (76)
- SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks (2019) (75)
- Link Prediction: Fair and Effective Evaluation (2012) (75)
- A framework for monitoring classifiers’ performance: when and why failure occurs? (2009) (74)
- Supervised methods for multi-relational link prediction (2013) (74)
- MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable (2017) (73)
- Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management (2007) (72)
- Vertex collocation profiles: subgraph counting for link analysis and prediction (2012) (72)
- Market basket analysis with networks (2011) (71)
- Building Decision Trees for the Multi-class Imbalance Problem (2012) (71)
- Scaling up Classifiers to Cloud Computers (2008) (71)
- Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks (2011) (70)
- Predictors of short-term decay of cell phone contacts in a large scale communication network (2011) (70)
- Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data (2008) (69)
- Reliable medical recommendation systems with patient privacy (2010) (68)
- Distributed learning with bagging-like performance (2003) (68)
- The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers (2019) (67)
- Network Analysis of Team Structure in the Neonatal Intensive Care Unit (2010) (67)
- Engagement vs performance: using electronic portfolios to predict first semester engineering student retention (2014) (66)
- MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting (2019) (65)
- IMBALANCED DATASETS : FROM SAMPLING TO CLASSIFIERS (2013) (64)
- Creating ensembles of classifiers (2001) (63)
- An exploration of climate data using complex networks (2009) (61)
- Few-Shot Graph Learning for Molecular Property Prediction (2021) (58)
- Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing (2019) (57)
- Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets (2007) (57)
- Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams (2009) (56)
- Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics (2019) (53)
- Inferring Unusual Crowd Events from Mobile Phone Call Detail Records (2015) (51)
- Neural Tensor Factorization for Temporal Interaction Learning (2019) (49)
- Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments (2011) (49)
- Random subspaces and subsampling for 2-D face recognition (2005) (48)
- An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance (2010) (48)
- User-guided discovery of declarative process models (2011) (47)
- Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence (2014) (47)
- Range-limited Centrality Measures in Complex Networks (2011) (45)
- Graph Barlow Twins: A self-supervised representation learning framework for graphs (2021) (44)
- Learning in non-stationary environments with class imbalance (2012) (44)
- LPmade: Link Prediction Made Easy (2011) (43)
- Anomaly detection in a mobile communication network (2007) (42)
- Evolutionary Ensemble Creation and Thinning (2006) (42)
- DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data (2021) (41)
- A Black-Box Approach to Query Cardinality Estimation (2007) (41)
- Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification (2018) (39)
- A Network-Based Approach to Understanding and Predicting Diseases (2009) (38)
- Combining Decision Trees Learned in Parallel (1998) (38)
- Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond (2016) (37)
- RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data (2018) (36)
- Distributed Pasting of Small Votes (2002) (35)
- An exploration of climate data using complex networks (2010) (35)
- The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model (2019) (35)
- Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (2014) (35)
- Wrapper-based computation and evaluation of sampling methods for imbalanced datasets (2005) (34)
- Will Triadic Closure Strengthen Ties in Social Networks? (2018) (34)
- Inferring Social Status and Rich Club Effects in Enterprise Communication Networks (2014) (33)
- A Private and Reliable Recommendation System for Social Networks (2010) (33)
- Social Media as a Passive Sensor in Longitudinal Studies of Human Behavior and Wellbeing (2019) (33)
- Predicting Node Degree Centrality with the Node Prominence Profile (2014) (32)
- Towards Time-Sensitive Truth Discovery in Social Sensing Applications (2015) (30)
- Consequences of Variability in Classifier Performance Estimates (2010) (30)
- Storing and Using Health Data in a Virtual Private Cloud (2013) (30)
- Computational Intelligent Data Analysis for Sustainable Development (2013) (30)
- Species distribution modeling and prediction: A class imbalance problem (2012) (30)
- A parallel decision tree builder for mining very large visualization datasets (2000) (30)
- Does Medical School Training Relate to Practice? Evidence from Big Data (2015) (29)
- Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting (2020) (29)
- Complex Networks In Climate Science: Progress, Opportunities And Challenges (2010) (29)
- Using HDDT to avoid instances propagation in unbalanced and evolving data streams (2014) (27)
- Multi-Label Learning from Crowds (2019) (27)
- Multi-Type Itemset Embedding for Learning Behavior Success (2018) (26)
- UAPD: Predicting Urban Anomalies from Spatial-Temporal Data (2017) (26)
- Designing Multiple Classifier Systems for Face Recognition (2005) (25)
- Generating Diverse Ensembles to Counter the Problem of Class Imbalance (2010) (25)
- Higher-order patterns of aquatic species spread through the global shipping network (2019) (25)
- Visualizing graph dynamics and similarity for enterprise network security and management (2010) (25)
- Learning Rules from Distributed Data (1999) (24)
- Comparing Predictive Power in Climate Data: Clustering Matters (2011) (24)
- Modeling a Store's Product Space as a Social Network (2009) (24)
- Hearthholds of mobile money in western Kenya (2016) (23)
- Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network (2020) (23)
- Evaluating Probability Estimates from Decision Trees (2006) (23)
- DisNet: A Framework for Distributed Graph Computation (2011) (23)
- Family Networks of Mobile Money in Kenya (2015) (23)
- How Long Will She Call Me? Distribution, Social Theory and Duration Prediction (2013) (23)
- Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors (2020) (22)
- Why is quantification an interesting learning problem? (2017) (22)
- Troubleshooting thousands of jobs on production grids using data mining techniques (2008) (22)
- Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration (2015) (21)
- A Survey of Tablet Applications for Promoting Successful Aging in Older Adults (2016) (21)
- Link prediction in human mobility networks (2013) (21)
- Development of a five-year mortality model in systemic sclerosis patients by different analytical approaches. (2010) (21)
- Evolutionary Ensembles : Combining Learning Agents using Genetic Algorithms (2005) (21)
- User Modeling on Demographic Attributes in Big Mobile Social Networks (2017) (21)
- Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior (2019) (21)
- Exploring Compliance: Observations from a Large Scale Fitbit Study (2017) (20)
- Reliable fake review detection via modeling temporal and behavioral patterns (2017) (19)
- Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks (2016) (19)
- Physical activity and sedentary behavior can modulate the effect of the PNPLA3 variant on childhood NAFLD: a case-control study in a Chinese population (2016) (18)
- Correspondence SVMs Modeling for Highly Imbalanced Classification (2009) (18)
- Link Prediction in Heterogeneous Networks : Influence and Time Matters (2012) (18)
- An Ensemble Topic Model for Sharing Healthcare Data and Predicting Disease Risk (2013) (18)
- Neural Tensor Factorization (2018) (18)
- Detecting Fractures in Classifier Performance (2007) (18)
- Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems (2020) (18)
- Big data fusion in Internet of Things (2018) (18)
- HoNVis: Visualizing and exploring higher-order networks (2017) (17)
- Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases (2020) (17)
- Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference (2018) (17)
- Social network structure is predictive of health and wellness (2018) (17)
- Mining the Clinical Narrative: All Text are Not Equal (2016) (16)
- Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection (2017) (16)
- Deep learning for network analysis: Problems, approaches and challenges (2016) (15)
- User Generated Content Consumption and Social Networking in Knowledge-Sharing OSNs (2010) (15)
- Reliable medical recommendation systems with patient privacy (2013) (15)
- Knowledge discovery from sensor data (SensorKDD) (2008) (15)
- Information Diffusion on Social Media: Does It Affect Trading, Return, and Liquidity? (2016) (15)
- GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction (2020) (15)
- Insights into Population Health Management Through Disease Diagnoses Networks (2016) (15)
- SMOTEBoost for Regression: Improving the Prediction of Extreme Values (2018) (15)
- Bagging Is a Small-Data-Set Phenomenon (2001) (14)
- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline (2017) (14)
- Convergence Analysis of Iterated Belief Revision in Complex Fusion Environments (2014) (14)
- Short Paper: Troubleshooting Distributed Systems via Data Mining (2006) (14)
- Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being (2020) (14)
- Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps (2019) (14)
- Authentication anomaly detection: a case study on a virtual private network (2007) (14)
- Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach (2013) (13)
- Link Prediction in a Semi-bipartite Network for Recommendation (2016) (13)
- Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks (2011) (13)
- Rs12970134 near MC4R is associated with appetite and beverage intake in overweight and obese children: A family-based association study in Chinese population (2017) (13)
- Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks (2018) (13)
- Applications of Social Media and Social Network Analysis (2015) (13)
- Detecting communities in time-evolving proximity networks (2011) (13)
- Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course (2019) (13)
- Weighted reciprocity in human communication networks (2011) (12)
- Vertex collocation profiles: theory, computation, and results (2014) (12)
- From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based Setting (2019) (12)
- The State of Data in Healthcare: Path Towards Standardization (2018) (12)
- Collaboration signatures reveal scientific impact (2015) (12)
- Will This Paper Increase Your h-index? (2015) (12)
- Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity (2019) (11)
- Generalization Methods in Bioinformatics (2002) (11)
- eSeniorCare: Technology for Promoting Well-Being of Older Adults in Independent Living Facilities (2016) (11)
- Human interaction in the NICU and its association with outcomes on the Brief Infant-Toddler Social and Emotional Assessment (BITSEA). (2018) (11)
- Filling Missing Values on Wearable-Sensory Time Series Data (2020) (11)
- Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ (2008) (11)
- Predicting onset of complications from diabetes: a graph based approach (2018) (11)
- Teaching data mining by coalescing theory and applications (2005) (10)
- Bagging-like effects for decision trees and neural nets in protein secondary structure prediction (2001) (10)
- Detecting Anomalies in Sequential Data with Higher-order Networks (2017) (10)
- Predicting online video engagement using clickstreams (2014) (10)
- Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees (2005) (10)
- Estimating Query Result Sizes for Proxy Caching in Scientific Database Federations (2006) (10)
- A supervised learning approach to the ensemble clustering of genes (2014) (10)
- Living in an imbalanced world (2012) (10)
- Predicting Cardiovascular Risk in Athletes: Resampling Improves Classification Performance (2020) (10)
- Ieee Access Special Section Editorial: Big Data Analytics for Smart and Connected Health (2016) (10)
- Analysis of link formation, persistence and dissolution in NetSense data (2016) (10)
- Influence of Personal Preferences on Link Dynamics in Social Networks (2017) (10)
- Network analysis of ballast-mediated species transfer reveals important introduction and dispersal patterns in the Arctic (2020) (9)
- Characterizing Exploratory Behaviors on a Personal Visualization Interface Using Interaction Logs (2020) (9)
- Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring (2017) (9)
- HONEM: Learning Embedding for Higher Order Networks (2019) (9)
- Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network (2016) (9)
- Graph-based Molecular Representation Learning (2022) (9)
- Learning to Classify Data Streams with Imbalanced Class Distributions (2009) (9)
- Recipe Recommendation With Hierarchical Graph Attention Network (2022) (9)
- Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data (2009) (9)
- Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text (2019) (9)
- Design and Evaluation of a Medication Adherence Application with Communication for Seniors in Independent Living Communities (2016) (9)
- Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits (2016) (9)
- Maximizing Information Spread through Influence Structures in Social Networks (2012) (8)
- Nursing networks in the NICU and their association with maternal stress: A pilot study. (2018) (8)
- Using selective, short-term memory to improve resilience against DDoS exhaustion attacks (2008) (8)
- SCALING PERSONALIZED HEALTHCARE WITH BIG DATA (2014) (8)
- Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields (2018) (8)
- A Survey of Current Integrative Network Algorithms for Systems Biology (2013) (8)
- TUBE: Embedding Behavior Outcomes for Predicting Success (2019) (8)
- Examining the weekend effect across ICU performance metrics (2019) (8)
- Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator (2015) (8)
- Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system (2011) (8)
- Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction (2001) (8)
- Compositional Training for End-to-End Deep AUC Maximization (2022) (8)
- ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain (2012) (7)
- FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings (2021) (7)
- Heterogeneous Graph Masked Autoencoders (2022) (7)
- Biomedical Knowledge Graphs Construction From Conditional Statements (2020) (7)
- Few-Shot Learning on Graphs: A Survey (2022) (7)
- Admission duration model for infant treatment (ADMIT) (2014) (7)
- Computing Information Gain in Data Streams (2005) (7)
- Data mining on the grid for the grid (2008) (7)
- Predicting Chronic Heart Failure Using Diagnoses Graphs (2017) (7)
- Similarity-Aware Network Embedding with Self-Paced Learning (2019) (6)
- Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data (2019) (6)
- Successful aging for low-income older adults: towards design principles (2016) (6)
- Learning from data streams and class imbalance (2019) (6)
- TUBE (2019) (6)
- NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs (2022) (6)
- DISEASE AND MEDICATION NETWORKS: AN INSIGHT INTO DISEASE-DRUG INTERACTIONS (2014) (6)
- Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series (2020) (6)
- Integration of ePortfolios in a First-Year Engineering Course for Measuring Student Engagement (2014) (6)
- Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study (2020) (6)
- Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs (2016) (6)
- Linkless Link Prediction via Relational Distillation (2022) (6)
- Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence (2023) (6)
- Recipe Representation Learning with Networks (2021) (6)
- Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks (2022) (6)
- A Private and Reliable Recommendation System Using a Social Network (2009) (6)
- Model Monitor (M2): Evaluating, Comparing, and Monitoring Models (2009) (5)
- Actively Exploring Creation of Face Space(s) for Improved Face Recognition (2007) (5)
- Learning Attribute-Structure Co-Evolutions in Dynamic Graphs (2020) (5)
- Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit (2020) (5)
- Applying Learning Algorithms to Music Generation (2009) (5)
- ONE-M: Modeling the Co-evolution of Opinions and Network Connections (2018) (5)
- Session details: Special issue on learning from imbalanced datasets (2004) (5)
- Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2 in a University Student Population, August–November 2020 (2021) (5)
- CARL: Content-Aware Representation Learning for Heterogeneous Networks (2018) (5)
- Perspective on Measurement Metrics for Community Detection Algorithms (2013) (5)
- Finding problems in, proposing solutions to, and performing analysis on imbalanced data (2009) (5)
- Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer (2020) (5)
- AttrE2vec: Unsupervised Attributed Edge Representation Learning (2020) (5)
- LNEMLC: Label Network Embeddings for Multi-Label Classifiation (2018) (5)
- Inductive Contextual Relation Learning for Personalization (2021) (5)
- Prosthetic Rehabilitation of a Patient with an Orbital Defect: A Simplified Approach (2012) (5)
- RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation (2022) (5)
- Classifier Evaluation with Missing Negative Class Labels (2013) (5)
- Interaction between obesity and the Hypoxia Inducible Factor 3 Alpha Subunit rs3826795 polymorphism in relation with plasma alanine aminotransferase (2017) (5)
- Predicting Job Performance Using Mobile Sensing (2021) (5)
- AVATAR -- Adaptive Visualization Aid for Touring And Recovery (2000) (5)
- Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter (2020) (4)
- Learning in the presence of class imbalance and concept drift (2019) (4)
- Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17) (2017) (4)
- Troubleshooting Distributed Systems via Data Mining. (2006) (4)
- Chapter 40 DATA MINING FOR IMBALANCED DATASETS : AN OVERVIEW (4)
- A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure (2017) (4)
- The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. (2019) (4)
- Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution (2016) (4)
- Prediction of fine-tuned promoter activity from DNA sequence (2015) (4)
- Connecting the dots to infer followers' topical interest on Twitter (2016) (4)
- Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning (2020) (4)
- What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence (2019) (4)
- Few-Shot Learning on Graphs (2022) (4)
- Privacy-Preserving Network Aggregation (2010) (4)
- Comparison of Gene Co-expression Networks and Bayesian Networks (2013) (4)
- The ABC of MOOCs: Affect and its inter-play with behavior and cognition (2017) (4)
- FraudBuster: Reducing Fraud in an Auto Insurance Market (2018) (4)
- Exploiting Thread-Level Parallelism to Build Decision Trees (2006) (4)
- CTGA: Graph-based Biomedical Literature Search (2019) (4)
- An integrated and digitized care framework for successful aging (2014) (4)
- Data-driven testing program improves detection of COVID-19 cases and reduces community transmission (2021) (3)
- HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data (2019) (3)
- Developing health technologies for older adults: methodological and ethical considerations (2016) (3)
- Characterizing online health and wellness information consumption: A study (2019) (3)
- MedCare: Leveraging Medication Similarity for Disease Prediction (2016) (3)
- Network Effects on Tweeting (2011) (3)
- Boosting Graph Neural Networks via Adaptive Knowledge Distillation (2022) (3)
- Successful Aging for Community-Dwelling Older Adults: An Experimental Study with a Tablet App (2022) (3)
- On the Use of Real-World Datasets for Reaction Yield Prediction (2021) (3)
- Mining Features Associated with Effective Tweets (2017) (3)
- A Machine-Learning Approach to Autonomous Music Composition (2010) (3)
- Pricing Based Framework for Benefit Scoring (2006) (3)
- Prominence in networks: A co-evolving process (2013) (3)
- Towards an Integrated mHealth Platform for Community-based Maternity Health Workers in Low-Income Communities (2018) (3)
- Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks (2016) (3)
- Graph Neural Networks for Predicting Chemical Reaction Performance (2021) (3)
- Formative Evaluation of a Tablet Application to Support Goal-Oriented Care in Community-Dwelling Older Adults (2022) (3)
- Patterns of Ship-borne Species Spread: A Clustering Approach for Risk Assessment and Management of Non-indigenous Species Spread (2014) (3)
- Using Structural Similarity to Predict Future Workload Behavior in the Cloud (2019) (3)
- Teaching Tablet Technology to Older Adults (2021) (3)
- Efficient Augmentation for Imbalanced Deep Learning (2022) (3)
- HealthCareND: leveraging EHR and CARE for prospective healthcare (2010) (3)
- Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers (2022) (2)
- Resource Access Pattern Mining for Dynamic Energy Management (2008) (2)
- Quantifying decision making for data science: from data acquisition to modeling (2016) (2)
- An Optimized NL2SQL System for Enterprise Data Mart (2021) (2)
- GrowHON: A Scalable Algorithm for Growing Higher-order Networks of Sequences (2020) (2)
- Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in Human Communication (2016) (2)
- Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning (2022) (2)
- The Need to Consider Hardware Selection when Designing Big Data Applications Supported by Metadata (2014) (2)
- Understanding CNN Fragility When Learning With Imbalanced Data (2022) (2)
- ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation (2017) (2)
- A statistical approach to finding overlooked genetic associations (2010) (2)
- The constraints of magnetic versus flash disk capabilities in big data analysis (2012) (2)
- Development and Evaluation of a Web Application for Prenatal Care Coordinators in the United States (2019) (2)
- Digging up the Dirt on User Generated Content Consumption (2010) (2)
- Multifaceted Event Analysis on Cross-Media Network Data (2018) (2)
- Ensembles in face recognition: tackling the extremes of high dimensionality, temporality, and variance in data (2005) (2)
- Examining Response to Negative Life Events Through Fitness Tracker Data (2021) (2)
- Optimizing Classifiers for Hypothetical Scenarios (2015) (2)
- Network analysis and link prediction: effective and meaningful modeling and evaluation (2012) (2)
- RiDE: Rule-learning in a Distributed Environment (1999) (2)
- Networks' Characteristics Matter for Systems Biology. (2014) (2)
- RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers (2022) (2)
- Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network (2020) (2)
- Dynamic Attributed Graph Prediction with Conditional Normalizing Flows (2021) (2)
- Recurrent subgraph prediction (2015) (2)
- Statistical Analysis and Modeling of Heterogeneous Workloads on Amazon's Public Cloud Infrastructure (2019) (2)
- FAKE REVIEW DETECTION ON YELP DATASET (2021) (2)
- Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning (2022) (2)
- Proceedings of the sixth international workshop on knowledge discovery from sensor data (SensorKDD '12) (2012) (2)
- Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting (2022) (2)
- Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements (2019) (2)
- Toward Graph Minimally-Supervised Learning (2022) (2)
- KDD Workshop on Machine Learning in Finance (2022) (1)
- Deep Ensembles for Graphs with Higher-order Dependencies (2022) (1)
- Predictors of Septic Shock or Bacteremia in Children Experiencing Febrile Neutropenia Post-Chemotherapy (2022) (1)
- Multi-modal Network Representation Learning (2020) (1)
- Lan: Learning to Augment Noise Tolerance for Self-report Survey Labels (2021) (1)
- Correction for Yang et al., A network’s gender composition and communication pattern predict women’s leadership success (2019) (1)
- Knowledge Distillation on Graphs: A Survey (2023) (1)
- Resolving Cross Domain Firewall Policy Anomalies (2016) (1)
- Generative AI Design and Exploration of Nucleoside Analogs (2021) (1)
- Quantifying Subjective Well-Being Using Trends in Weekend Activity (2018) (1)
- Erratum: A network’s gender composition and communication pattern predict women’s leadership success (Proceedings of the National Academy of Sciences of the United States of America (2019) 116 (2033–2038) DOI: 10.1073/pnas.1721438116) (2019) (1)
- Efficient Recommender System using Collaborative Filtering Technique and Distributed Framework (2016) (1)
- Discrete Heart Rate Values or Continuous Streams? Representation, Variability, and Meaningful Use of Vital Sign Data (2021) (1)
- Community Detection in Complex Network via BGLL Algorithm (2018) (1)
- Towards Real-Time Safety Analysis of Small Unmanned Aerial Systems in the National Airspace (2022) (1)
- Evaluation of Summarization Schemes for Learning in Streams (2006) (1)
- Incremental embedding for temporal networks (2019) (1)
- Modeling the Interplay Between Individual Behavior and Network Distributions (2015) (1)
- A supervised learning approach to the unsupervised clustering of genes (2010) (1)
- TIQS: Targeted Iterative Question Selection for Health Interventions (2018) (1)
- A Survey on Healthy Food Decision Influences Through Technological Innovations (2022) (1)
- Unified Representation of Twitter and Online News Using Graph and Entities (2021) (1)
- motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data (2021) (1)
- Implicit and Explicit Emotions in MOOCs (2019) (1)
- A Qualitative Usability Evaluation of Tablets and Accessibility Settings by Older Adults (2021) (1)
- FakeEdge: Alleviate Dataset Shift in Link Prediction (2022) (1)
- Preface to the Third IEEE ICDM Workshop on Knowledge Discovery from Climate Data (2011) (1)
- Data Analytics: A Problem-Solving Approach (2019) (1)
- Activity Mining in Open Source Software (2005) (1)
- Complex networks as a tool of choice for improving the science of climate extremes and reducing uncertainty in their projections (2009) (1)
- Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network (2020) (1)
- Identifying Bridge Users: the Knowledge Transfer Agents in Enterprise Collaboration Systems (2020) (1)
- Supervised methods for multi-relational link prediction (2012) (1)
- Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding (2021) (1)
- Graph Minimally-supervised Learning (2022) (1)
- Proceedings of the 2011 workshop on Data mining for medicine and healthcare (2011) (1)
- Evaluating and maintaining classification algorithms (2012) (1)
- Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers (2010) (1)
- Unraveling Complexity about Childhood Obesity and Nutritional Interventions: Modeling Interactions Among Psychological Factors (2019) (1)
- Correction (2015) (1)
- Fighting a Pandemic: Convergence of Expertise, Data Science and Policy (2020) (1)
- Privacy-Preserving Data Synthetisation for Secure Information Sharing (2022) (1)
- Correction (2012) (0)
- Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining (2009) (0)
- Towards Understanding How Data Augmentation Works with Imbalanced Data (2023) (0)
- Learning topredict gender fromiris images (2007) (0)
- Honvis+: An Exploration and Visual Comparison Tool for Dynamic Higher-Order Networks (2022) (0)
- Predicting terrorist attacks in the United States using localized news data (2022) (0)
- Correction (2020) (0)
- Correction (2021) (0)
- Chapter 12 Learning from Imbalanced Data : Evaluation Matters (0)
- Computational intelligent data analysis for sustainable development : an introduction and overview (2013) (0)
- TIQS: Targeted Iterative Question Selection for Health Interventions (2018) (0)
- Medical Decision Making Reviewers, 2015 (2016) (0)
- Small Compute Clusters for Large-Scale Data Analysis (2011) (0)
- Chapter 22 Information Gain , Correlation and Support Vector Machines (2008) (0)
- The Evolution of Social Relationships and Strategies Across the Lifespan (2015) (0)
- Predicting participant compliance: a large multi-modal longitudinal study using wearables, smartphones, and EMAs (Preprint) (2020) (0)
- Physical Activity Trend eXtraction: A Framework for Extracting Moderate-Vigorous Physical Activity Trends From Wearable Fitness Tracker Data (Preprint) (2018) (0)
- Hellinger distance decision trees are robust and skew-insensitive (2011) (0)
- Model Monitor ({\it M}$^{\mbox{2}}$): Evaluating, Comparing, and Monitoring Models (2009) (0)
- Mining in a mobile environment (2009) (0)
- Author’s response to reviews Title: Interaction between obesity and the Hypoxia Inducible Factor 3 Alpha Subunit rs3826795 polymorphism in relation with plasma alanine aminotransferase Authors: (2017) (0)
- Demo Abstract: Visual Analytics of Higher-order Dependencies in Sensor Data (2017) (0)
- Global port survey quantifies commercial shipping’s effect on biodiversity (2021) (0)
- Foreword (2012) (0)
- Correction (1967) (0)
- Star Classification Under Data Variability : An Emerging Challenge in Astroinformatics (2015) (0)
- Increasing Skew Insensitivity of Decision Trees with Hellinger Distance (2008) (0)
- A Study in Machine Learning fromImbalanced Data for Sentence BoundaryDetection in SpeechYang (2008) (0)
- Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach (2020) (0)
- Learning from streaming data with concept drift and imbalance: an overview (2012) (0)
- Microscopic Evolution of Social Networks by Triad Position Profile (2013) (0)
- Program Session 1: Feature and Model Selection Feature Selection via Maximizing Neighborhood Soft Margin (pp.12) Linear Time Model Selection for Mixture of Heterogeneous Components (pp.12) Privacy-preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection (pp. (2009) (0)
- Link Prediction: A Primer (2014) (0)
- Ismb/eccb 2019 Proceedings Papers Committee (2019) (0)
- Modeling the Product Space as a Network (2008) (0)
- Correction. (2021) (0)
- Red Black Network: Temporal and Topological Analysis of Two Intertwined Social Networks (2013) (0)
- Final Program Sponsored by the SIAM Activity Group on Data Mining and Analytics (2019) (0)
- Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010) (2011) (0)
- Large-Scale Machine Learning for Species Distributions (2017) (0)
- Using Small Abstractions to Program Large Distributed Systems (2008) (0)
- Advances in interactive Knowledge Discovery (15w2181-July, 24–26, 2015) (2015) (0)
- Predictors of short-term decay of cell phone contacts in a large scale communication networkI,II (2021) (0)
- Interpretable ML for Imbalanced Data (2022) (0)
- Simple, costless handling of skew data via ensembles of hellinger decision trees. (2010) (0)
- Calibration and Power of Probability Estimation Trees on Unbalanced Data (0)
- Correction (2020) (0)
- Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs (2019) (0)
- Complex Networks Reveal Persistent Global / Regional Structure and Predictive Information Content in Climate Data (2010) (0)
- SD^2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance (2022) (0)
- Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 (2009) (0)
- Class-Imbalanced Learning on Graphs: A Survey (2023) (0)
- Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract (2017) (0)
- IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011) (2011) (0)
- Viewing the world through a network lens (2011) (0)
- Combining Decision Trees Learned in (1998) (0)
- On spatial-temporal truth finding in social sensing (2015) (0)
- Environment and shipping drive eDNA beta-diversity among commercial ports. (2023) (0)
- Proceedings of the Second international conference on Knowledge Discovery from Sensor Data (2008) (0)
- Towards Learning-based Sensor Management (2006) (0)
- Correction (2001) (0)
- Welcome Message from the KSE 2022 General Committee (2021) (0)
- Machine Learning in Finance (2021) (0)
- Information fusion via symbolic regression: A tutorial in the context of human health (2022) (0)
- Modeling Considerations for Quantitative Social Science Research Using Social Media Data (2020) (0)
- Preface to the 2010 Workshop on Knowledge Discovery from Climate Data: Prediction, Extremes, and Impacts (2010) (0)
- Correction (2013) (0)
- Predicting onset of complications from diabetes: a graph based approach (2018) (0)
- MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory Data (2020) (0)
- Deep Multimodal Complementarity Learning. (2022) (0)
- Poster: RSSI-Based Pedestrian Localization Using Artificial Neural Networks (2017) (0)
- Pandemic Pulse (2020) (0)
- A Tablet-based App for Successful Aging in Community-Dwelling Older Adults with Low Socioeconomic Status: A Feasibility Study (Preprint) (2020) (0)
- Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach (2017) (0)
- Introduction to the Knowledge Discovery from Sensor Data (2008) (0)
- Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows (2023) (0)
- Outside the Hospital Walls: Associations of Value Based Care Metrics and Community Health Factors (2019) (0)
- An insight into imbalanced Big Data classification: outcomes and challenges (2017) (0)
- New Frontiers in Applied Data Mining, PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers (2010) (0)
- Quantifying decision making for data science: from data acquisition to modeling (2016) (0)
- Finding low-tension communities (2018) (0)
- Special Issue on CIDU '11 (2013) (0)
- VisPod: Content-Based Audio Visual Navigation (2018) (0)
- Being a "Dataologist": From Data to Networks to Personalized Healthcare (2015) (0)
- The State of Data in Healthcare: Path Towards Standardization (2018) (0)
- Proceedings of the Fourth International Workshop on Knowledge Discovery from Sensor Data (SensorKDD’10) (2010) (0)
- Leveraging health and wellness platforms to understand childhood obesity: A usability pilot of FitSpace (2018) (0)
- Introduction to the Special Track on Artificial Intelligence and COVID-19 (2023) (0)
- Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection (2020) (0)
- Determination of Specificity Residues in Two Component Systems using Graphlets (2009) (0)
- Why is quantification an interesting learning problem? (2016) (0)
- Evaluating link prediction methods (2014) (0)
- Long-term Compliance Habits: What Early Data Tells Us (2018) (0)
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