Nitesh V. Chawla

According to our database1, Nitesh V. Chawla authored at least 250 papers between 1998 and 2020.

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2020
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.
CoRR, 2020

2019
Exploring Time-Varying Multivariate Volume Data Using Matrix of Isosurface Similarity Maps.
IEEE Trans. Vis. Comput. Graph., 2019

Multi-Label Learning from Crowds.
IEEE Trans. Knowl. Data Eng., 2019

Characterizing online health and wellness information consumption: A study.
Information Fusion, 2019

A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas.
IMWUT, 2019

Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing.
IMWUT, 2019

Learning in the presence of class imbalance and concept drift.
Neurocomputing, 2019

Few-Shot Knowledge Graph Completion.
CoRR, 2019

Graph Few-shot Learning via Knowledge Transfer.
CoRR, 2019

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data.
CoRR, 2019

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR, 2019

Incremental embedding for temporal networks.
CoRR, 2019

Learning from data streams and class imbalance.
Connect. Sci., 2019

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.
Proceedings of the World Wide Web Conference, 2019

SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Neural Tensor Factorization for Temporal Interaction Learning.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence.
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019

From Design to Development to Evaluation of a Pregnancy App for Low-Income Women in a Community-Based Setting.
Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019

Integrated Closed-loop Learning Analytics Scheme in a First Year Experience Course.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Heterogeneous Graph Neural Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TUBE: Embedding Behavior Outcomes for Predicting Success.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Statistical Analysis and Modeling of Heterogeneous Workloads on Amazon's Public Cloud Infrastructure.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Implicit and Explicit Emotions in MOOCs.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Development and Evaluation of a Web Application for Prenatal Care Coordinators in the United States.
Proceedings of the Extending the Boundaries of Design Science Theory and Practice, 2019

Gender Prediction Through Synthetic Resampling of User Profiles Using SeqGANs.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Similarity-Aware Network Embedding with Self-Paced Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Social Media as a Passive Sensor in Longitudinal Studies of Human Behavior and Wellbeing.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019


CTGA: Graph-based Biomedical Literature Search.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Outside the Hospital Walls: Associations of Value Based Care Metrics and Community Health Factors.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019


A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Using Structural Similarity to Predict Future Workload Behavior in the Cloud.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Link Prediction: A Primer.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Semantic Flow Graph: A Framework for Discovering Object Relationships in Flow Fields.
IEEE Trans. Vis. Comput. Graph., 2018

Will Triadic Closure Strengthen Ties in Social Networks?
TKDD, 2018

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res., 2018

Big data fusion in Internet of Things.
Information Fusion, 2018

LNEMLC: Label Network Embeddings for Multi-Label Classifiation.
CoRR, 2018

Social Network Structure is Predictive of Health and Wellness.
CoRR, 2018

CARL: Content-Aware Representation Learning for Heterogeneous Networks.
CoRR, 2018

Long-term Compliance Habits: What Early Data Tells Us.
CoRR, 2018

Neural Tensor Factorization.
CoRR, 2018

FraudBuster: Reducing Fraud in an Auto Insurance Market.
Big Data, 2018

Predicting onset of complications from diabetes: a graph based approach.
Applied Network Science, 2018

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

ONE-M: Modeling the Co-evolution of Opinions and Network Connections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Towards an Integrated mHealth Platform for Community-based Maternity Health Workers in Low-Income Communities.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

Multi-Type Itemset Embedding for Learning Behavior Success.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

VisPod: Content-Based Audio Visual Navigation.
Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantifying Subjective Well-Being Using Trends in Weekend Activity.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

SMOTEBoost for Regression: Improving the Prediction of Extreme Values.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Leveraging health and wellness platforms to understand childhood obesity: A usability pilot of FitSpace.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
User Modeling on Demographic Attributes in Big Mobile Social Networks.
ACM Trans. Inf. Syst., 2017

Why is quantification an interesting learning problem?
Progress in AI, 2017

Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier.
Neurocomputing, 2017

A Review on Quantification Learning.
ACM Comput. Surv., 2017

Detecting Anomalies in Sequential Data with Higher-order Networks.
CoRR, 2017

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).
CoRR, 2017

Influence of Personal Preferences on Link Dynamics in Social Networks.
Complexity, 2017

Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring.
Big Data, 2017

MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Poster: RSSI-Based Pedestrian Localization Using Artificial Neural Networks.
Proceedings of the 2nd ACM International Workshop on Smart, 2017

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

metapath2vec: Scalable Representation Learning for Heterogeneous Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Exploring Compliance: Observations from a Large Scale Fitbit Study.
Proceedings of the 2nd International Workshop on Social Sensing, 2017

Predicting Chronic Heart Failure Using Diagnoses Graphs.
Proceedings of the Machine Learning and Knowledge Extraction, 2017

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Reliable fake review detection via modeling temporal and behavioral patterns.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Mining Features Associated with Effective Tweets.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

HoNVis: Visualizing and exploring higher-order networks.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

The ABC of MOOCs: Affect and its inter-play with behavior and cognition.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Netw. Learning Syst., 2016

Can Scientific Impact Be Predicted?
IEEE Trans. Big Data, 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.
SIGKDD Explorations, 2016

Quantifying decision making for data science: from data acquisition to modeling.
EPJ Data Sci., 2016

Gender Differences in Communication Behaviors, Spatial Proximity Patterns, and Mobility Habits.
CoRR, 2016

Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution.
CoRR, 2016

Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network.
CoRR, 2016

Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks.
CoRR, 2016

Ieee Access Special Section Editorial: Big Data Analytics for Smart and Connected Health.
IEEE Access, 2016

A Survey of Tablet Applications for Promoting Successful Aging in Older Adults.
IEEE Access, 2016

Successful aging for low-income older adults: towards design principles.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Developing health technologies for older adults: methodological and ethical considerations.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Deep learning for network analysis: Problems, approaches and challenges.
Proceedings of the 2016 IEEE Military Communications Conference, 2016

Mining the Clinical Narrative: All Text are Not Equal.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

eSeniorCare: Technology for Promoting Well-Being of Older Adults in Independent Living Facilities.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

MedCare: Leveraging Medication Similarity for Disease Prediction.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Connecting the dots to infer followers' topical interest on Twitter.
Proceedings of the 2016 International Conference on Behavioral, 2016

Analysis of link formation, persistence and dissolution in NetSense data.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Design and Evaluation of a Medication Adherence Application with Communication for Seniors in Independent Living Communities.
Proceedings of the AMIA 2016, 2016

Link Prediction in a Semi-bipartite Network for Recommendation.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Evaluating link prediction methods.
Knowl. Inf. Syst., 2015

Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration.
Journal of Biomedical Informatics, 2015

Modeling the Interplay Between Individual Behavior and Network Distributions.
CoRR, 2015

Representing Higher Order Dependencies in Networks.
CoRR, 2015

Does Medical School Training Relate to Practice? Evidence from Big Data.
Big Data, 2015

Will This Paper Increase Your h-index?: Scientific Impact Prediction.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

On spatial-temporal truth finding in social sensing.
Proceedings of the 12th Annual IEEE International Conference on Sensing, 2015

Inferring Unusual Crowd Events from Mobile Phone Call Detail Records.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Will This Paper Increase Your h-index?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

The Evolution of Social Relationships and Strategies Across the Lifespan.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Optimizing Classifiers for Hypothetical Scenarios.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Towards Time-Sensitive Truth Discovery in Social Sensing Applications.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

CoupledLP: Link Prediction in Coupled Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Being a "Dataologist": From Data to Networks to Personalized Healthcare.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Predicting online video engagement using clickstreams.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline.
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015

Recurrent Subgraph Prediction.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Collaboration Signatures Reveal Scientific Impact.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Link Prediction: A Primer.
Encyclopedia of Social Network Analysis and Mining, 2014

Convergence Analysis of Iterated Belief Revision in Complex Fusion Environments.
J. Sel. Topics Signal Processing, 2014

A supervised learning approach to the ensemble clustering of genes.
IJDMB, 2014

Predicting Node Degree Centrality with the Node Prominence Profile.
CoRR, 2014

Patterns of Ship-borne Species Spread: A Clustering Approach for Risk Assessment and Management of Non-indigenous Species Spread.
CoRR, 2014

Inferring social status and rich club effects in enterprise communication networks.
CoRR, 2014

Will This Paper Increase Your h-index? Scientific Impact Prediction.
CoRR, 2014

Engagement vs performance: using electronic portfolios to predict first semester engineering student retention.
Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inferring user demographics and social strategies in mobile social networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Using HDDT to avoid instances propagation in unbalanced and evolving data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Admission duration model for infant treatment (ADMIT).
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

An integrated and digitized care framework for successful aging.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Perspective on Measurement Metrics for Community Detection Algorithms.
Proceedings of the Mining Social Networks and Security Informatics, 2013

Reliable medical recommendation systems with patient privacy.
ACM TIST, 2013

Supervised methods for multi-relational link prediction.
Social Netw. Analys. Mining, 2013

Special Issue on CIDU '11.
Statistical Analysis and Data Mining, 2013

Microscopic Evolution of Social Networks by Triad Position Profile.
CoRR, 2013

How Long Will She Call Me? Distribution, Social Theory and Duration Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Prominence in networks: A co-evolving process.
Proceedings of the 2nd IEEE Network Science Workshop, 2013

Red Black Network: Temporal and Topological Analysis of Two Intertwined Social Networks.
Proceedings of the 32th IEEE Military Communications Conference, 2013

Classifier Evaluation with Missing Negative Class Labels.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

An Ensemble Topic Model for Sharing Healthcare Data and Predicting Disease Risk.
Proceedings of the ACM Conference on Bioinformatics, 2013

Link prediction in human mobility networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Comparison of Gene Co-expression Networks and Bayesian Networks.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
A unifying view on dataset shift in classification.
Pattern Recognition, 2012

Learning from streaming data with concept drift and imbalance: an overview.
Progress in AI, 2012

Hellinger distance decision trees are robust and skew-insensitive.
Data Min. Knowl. Discov., 2012

Vertex collocation profiles: subgraph counting for link analysis and prediction.
Proceedings of the 21st World Wide Web Conference 2012, 2012

When will it happen?: relationship prediction in heterogeneous information networks.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

ALIVE: A Multi-relational Link Prediction Environment for the Healthcare Domain.
Proceedings of the Emerging Trends in Knowledge Discovery and Data Mining - PAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29, 2012

Building Decision Trees for the Multi-class Imbalance Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Learning in non-stationary environments with class imbalance.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Predicting Links in Multi-relational and Heterogeneous Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Maximizing Information Spread through Influence Structures in Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Link Prediction and Recommendation across Heterogeneous Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Species distribution modeling and prediction: A class imbalance problem.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Foreword.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

Link Prediction: Fair and Effective Evaluation.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Predictors of short-term decay of cell phone contacts in a large scale communication network.
Social Networks, 2011

Market basket analysis with networks.
Social Netw. Analys. Mining, 2011

Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science.
Statistical Analysis and Data Mining, 2011

Special issue on the best papers of the Conference on Intelligent Data Understanding (CIDU 2010).
Statistical Analysis and Data Mining, 2011

LPmade: Link Prediction Made Easy.
J. Mach. Learn. Res., 2011

Range-limited Centrality Measures in Complex Networks
CoRR, 2011

Weighted reciprocity in human communication networks
CoRR, 2011

Comparing Predictive Power in Climate Data: Clustering Matters.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Network Effects on Tweeting.
Proceedings of the Discovery Science - 14th International Conference, 2011

Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

DisNet: A Framework for Distributed Graph Computation.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Multi-relational Link Prediction in Heterogeneous Information Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Data Mining for Imbalanced Datasets: An Overview.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

An exploration of climate data using complex networks.
SIGKDD Explorations, 2010

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations, 2010

Identifying and evaluating community structure in complex networks.
Pattern Recognition Letters, 2010

A Machine-Learning Approach to Autonomous Music Composition.
J. Intelligent Systems, 2010

Time to CARE: a collaborative engine for practical disease prediction.
Data Min. Knowl. Discov., 2010

A statistical approach to finding overlooked genetic associations.
BMC Bioinformatics, 2010

Visualizing graph dynamics and similarity for enterprise network security and management.
Proceedings of the 7th International Symposium on Visualization for Cyber Security, 2010

A Private and Reliable Recommendation System for Social Networks.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

A Robust Decision Tree Algorithm for Imbalanced Data Sets.
Proceedings of the SIAM International Conference on Data Mining, 2010

User Generated Content Consumption and Social Networking in Knowledge-Sharing OSNs.
Proceedings of the Advances in Social Computing, 2010

Privacy-Preserving Network Aggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Generating Diverse Ensembles to Counter the Problem of Class Imbalance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

New perspectives and methods in link prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Reliable medical recommendation systems with patient privacy.
Proceedings of the ACM International Health Informatics Symposium, 2010

HealthCareND: leveraging EHR and CARE for prospective healthcare.
Proceedings of the ACM International Health Informatics Symposium, 2010

An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Consequences of Variability in Classifier Performance Estimates.
Proceedings of the ICDM 2010, 2010

Digging up the Dirt on User Generated Content Consumption.
Proceedings of the 16th International Conference on Management of Data, 2010

Complex Networks In Climate Science: Progress, Opportunities And Challenges.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

A supervised learning approach to the unsupervised clustering of genes.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
SVMs Modeling for Highly Imbalanced Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations, 2009

A framework for monitoring classifiers' performance: when and why failure occurs?
Knowl. Inf. Syst., 2009

Model Monitor (M2): Evaluating, Comparing, and Monitoring Models.
J. Mach. Learn. Res., 2009

Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams.
Proceedings of the New Frontiers in Applied Data Mining, 2009

Mining in a mobile environment.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Applying Learning Algorithms to Music Generation.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Determination of Specificity Residues in Two Component Systems using Graphlets.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

Modeling a Store's Product Space as a Social Network.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Using selective, short-term memory to improve resilience against DDoS exhaustion attacks.
Security and Communication Networks, 2008

Automatically countering imbalance and its empirical relationship to cost.
Data Min. Knowl. Discov., 2008

Learning Decision Trees for Unbalanced Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions Differ.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Data mining on the grid for the grid.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Scaling up Classifiers to Cloud Computers.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Troubleshooting thousands of jobs on production grids using data mining techniques.
Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008

Using Small Abstractions to Program Large Distributed Systems.
Proceedings of the Fourth International Conference on e-Science, 2008

Predicting individual disease risk based on medical history.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Anomaly detection in a mobile communication network.
Computational & Mathematical Organization Theory, 2007

Authentication anomaly detection: a case study on a virtual private network.
Proceedings of the 3rd Annual ACM Workshop on Mining Network Data, 2007

Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Detecting Fractures in Classifier Performance.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Enhanced Situational Awareness: Application of DDDAS Concepts to Emergency and Disaster Management.
Proceedings of the Computational Science, 2007

A Black-Box Approach to Query Cardinality Estimation.
Proceedings of the CIDR 2007, 2007

Actively Exploring Creation of Face Space(s) for Improved Face Recognition.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
A study in machine learning from imbalanced data for sentence boundary detection in speech.
Computer Speech & Language, 2006

Data management and query - Estimating query result sizes for proxy caching in scientific database federations.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Evaluation of Summarization Schemes for Learning in Streams.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Evolutionary Ensemble Creation and Thinning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Troubleshooting Distributed Systems via Data Mining.
Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, 2006

Combating imbalance in network intrusion datasets.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Information Gain, Correlation and Support Vector Machines.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains.
J. Artif. Intell. Res., 2005

Ensembles in face recognition: tackling the extremes of high dimensionality, temporality, and variance in data.
Proceedings of the IEEE International Conference on Systems, 2005

Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees.
Proceedings of the Machine Learning Challenges, 2005

Designing Multiple Classifier Systems for Face Recognition.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Random Subspaces and Subsampling for 2-D Face Recognition.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Data Mining for Imbalanced Datasets: An Overview.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Editorial: special issue on learning from imbalanced data sets.
SIGKDD Explorations, 2004

Learning Ensembles from Bites: A Scalable and Accurate Approach.
J. Mach. Learn. Res., 2004

Classification and knowledge discovery in protein databases.
Journal of Biomedical Informatics, 2004

2003
Distributed learning with bagging-like performance.
Pattern Recognition Letters, 2003

SMOTEBoost: Improving Prediction of the Minority Class in Boosting.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002
SMOTE: Synthetic Minority Over-sampling Technique.
J. Artif. Intell. Res., 2002

Distributed Pasting of Small Votes.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Generalization Methods in Bioinformatics.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

2001
Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

Creating Ensembles of Classifiers.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Bagging Is a Small-Data-Set Phenomenon.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
A parallel decision tree builder for mining very large visualization datasets.
Proceedings of the IEEE International Conference on Systems, 2000

1999
Learning Rules from Distributed Data.
Proceedings of the Large-Scale Parallel Data Mining, 1999

1998
Decision tree learning on very large data sets.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998


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