2024
Neural Methods for Data-to-text Generation.
ACM Trans. Intell. Syst. Technol., October, 2024
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems.
IEEE Netw., September, 2024
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.
ACM Trans. Knowl. Discov. Data, July, 2024
Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities.
Proc. ACM Hum. Comput. Interact., 2024
Steering LLM Summarization with Visual Workspaces for Sensemaking.
CoRR, 2024
Are LLMs Naturally Good at Synthetic Tabular Data Generation?
CoRR, 2024
Information Guided Regularization for Fine-tuning Language Models.
CoRR, 2024
Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds.
CoRR, 2024
Laying Anchors: Semantically Priming Numerals in Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Forecasting Migration Patterns and Land Border Encounters.
Proceedings of the IEEE International Conference on Big Data, 2024
LLM Augmentations to support Analytical Reasoning over Multiple Documents.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Using sensitivity analyses to understand bistable system behavior.
BMC Bioinform., December, 2023
TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade.
Inf. Vis., July, 2023
Memetic Algorithms for Spatial Partitioning Problems.
ACM Trans. Spatial Algorithms Syst., March, 2023
ML-Assisted Optimization of Securities Lending.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
CSCW & Redrawing Public School Boundaries: An Intersection of Computer Science, Education Policy, and Geography Research.
Proceedings of 21st European Conference on Computer-Supported Cooperative Work, 2023
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
EINNs: Epidemiologically-Informed Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Redistrict: Designing a Self-Serve Interactive Boundary Optimization System.
Proceedings of the Companion Publication of the 2023 ACM Designing Interactive Systems Conference, 2023
2022
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data, 2022
Identifying geopolitical event precursors using attention-based LSTMs.
Frontiers Artif. Intell., 2022
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic.
CoRR, 2022
Scrutinizing Shipment Records To Thwart Illegal Timber Trade.
CoRR, 2022
Innovations in Neural Data-to-text Generation.
CoRR, 2022
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions.
CoRR, 2022
Sampling-based techniques for designing school boundaries.
CoRR, 2022
Efficient Generative Wireless Anomaly Detection for Next Generation Networks.
Proceedings of the IEEE Military Communications Conference, 2022
Framing Algorithmic Recourse for Anomaly Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback.
Proceedings of the IEEE International Conference on Data Mining, 2022
Redistricting Practices in Public Schools: Social Progress or Necessity?
Proceedings of 20th European Conference on Computer-Supported Cooperative Work, Coimbra, Portugal, June 27, 2022
Improving Zero-Shot Event Extraction via Sentence Simplification.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality.
IEEE Trans. Vis. Comput. Graph., 2021
Neural Abstractive Text Summarization with Sequence-to-Sequence Models.
Trans. Data Sci., 2021
TCube: Domain-Agnostic Neural Time-series Narration.
CoRR, 2021
Using AntiPatterns to avoid MLOps Mistakes.
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CoRR, 2021
Detecting Anomalies Through Contrast in Heterogeneous Data.
CoRR, 2021
Incorporating Expert Guidance in Epidemic Forecasting.
CoRR, 2021
SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches.
Bioinform., 2021
T<sup>3</sup>: Domain-Agnostic Neural Time-series Narration.
Proceedings of the IEEE International Conference on Data Mining, 2021
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields.
Proceedings of the IEEE International Conference on Data Mining, 2021
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Deep Reinforcement Learning for Sequence-to-Sequence Models.
IEEE Trans. Neural Networks Learn. Syst., 2020
Cut-n-Reveal: Time Series Segmentations with Explanations.
ACM Trans. Intell. Syst. Technol., 2020
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.
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Soc. Netw. Anal. Min., 2020
Online flu epidemiological deep modeling on disease contact network.
GeoInformatica, 2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization.
CoRR, 2020
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models.
CoRR, 2020
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems.
Big Data, 2020
Detecting Media Self-Censorship without Explicit Training Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
Detecting Suspicious Timber Trades.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Geospatial Clustering for Balanced and Proximal Schools.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs.
IEEE Trans. Vis. Comput. Graph., 2019
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors.
IEEE Trans. Knowl. Data Eng., 2019
Low Rank Factorization for Compact Multi-Head Self-Attention.
CoRR, 2019
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids.
CoRR, 2019
Event Detection using Hierarchical Multi-Aspect Attention.
Proceedings of the World Wide Web Conference, 2019
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game.
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Proceedings of the 2019 Winter Simulation Conference, 2019
Interactive Bicluster Aggregation in Bipartite Graphs.
Proceedings of the 30th IEEE Visualization Conference, 2019
Deep Transfer Reinforcement Learning for Text Summarization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Mitigating Uncertainty in Document Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
EpiDeep: Exploiting Embeddings for Epidemic Forecasting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
REGAL: A Regionalization framework for school boundaries.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
<i>NActSeer</i>: Predicting User Actions in Social Network using Graph Augmented Neural Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Feature driven learning framework for cybersecurity event detection.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
RumorSleuth: joint detection of rumor veracity and user stance.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.
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Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2018
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models.
ACM Trans. Knowl. Discov. Data, 2018
Generating Realistic Synthetic Population Datasets.
ACM Trans. Knowl. Discov. Data, 2018
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems.
ACM Trans. Intell. Syst. Technol., 2018
Sparse estimation of multivariate Poisson log-normal models from count data.
Stat. Anal. Data Min., 2018
What to know before forecasting the flu.
PLoS Comput. Biol., 2018
Probability-one homotopy methods for constrained clustering.
J. Comput. Appl. Math., 2018
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.
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Proceedings of the 2018 Winter Simulation Conference, 2018
STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Forecasting Gang Homicides with Multi-level Multi-task Learning.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018
SIGNet: Scalable Embeddings for Signed Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Sub2Vec: Feature Learning for Subgraphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Social Media based Simulation Models for Understanding Disease Dynamics.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades.
Proceedings of the IEEE International Conference on Data Mining, 2018
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Incorporating Prior Domain Knowledge into Deep Neural Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.
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Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
When do Crowds Turn Violent? Uncovering Triggers from Media.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Multi-Task Learning for Transit Service Disruption Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Flow of Information in Feed-Forward Denoising Neural Networks.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018
2017
Gaussian Process Models in Spatial Data Mining.
Proceedings of the Encyclopedia of GIS., 2017
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017
Long-Span Program Behavior Modeling and Attack Detection.
ACM Trans. Priv. Secur., 2017
Forecasting rare disease outbreaks from open source indicators.
Stat. Anal. Data Min., 2017
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE, 2017
A Framework for Evaluating Epidemic Forecasts.
CoRR, 2017
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources.
CoRR, 2017
New methods to generate massive synthetic networks.
CoRR, 2017
Distributed Representation of Subgraphs.
CoRR, 2017
Pruning Decision Trees via Max-Heap Projection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Absenteeism Detection in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Tracking Multiple Social Media for Stock Market Event Prediction.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017
Distributed Representations of Subgraphs.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Determining Relative Airport Threats from News and Social Media.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Installing Electric Vehicle Charging Stations City-Scale: How Many and Where?
Proceedings of the Computational Sustainability, 2016
BiSet: Semantic Edge Bundling with Biclusters for Sensemaking.
IEEE Trans. Vis. Comput. Graph., 2016
Online Spatial Event Forecasting in Microblogs.
ACM Trans. Spatial Algorithms Syst., 2016
Multi-source models for civil unrest forecasting.
Soc. Netw. Anal. Min., 2016
A framework for intelligence analysis using spatio-temporal storytelling.
GeoInformatica, 2016
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling.
GeoInformatica, 2016
Automatic targeted-domain spatiotemporal event detection in twitter.
GeoInformatica, 2016
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models.
Data Min. Knowl. Discov., 2016
Interactive and Iterative Discovery of Entity Network Subgraphs.
CoRR, 2016
Sparse Estimation of Multivariate Poisson Log-Normal Model and Inverse Covariance for Count Data.
CoRR, 2016
Social Media as a Sensor for Censorship Detection in News Media.
CoRR, 2016
Forecasting the Flu: Designing Social Network Sensors for Epidemics.
CoRR, 2016
Interactive Storytelling over Document Collections.
CoRR, 2016
Flow of Information in Feed-Forward Deep Neural Networks.
CoRR, 2016
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks.
CoRR, 2016
Designing Domain Specific Word Embeddings: Applications to Disease Surveillance.
CoRR, 2016
Hierarchical Quickest Change Detection via Surrogates.
CoRR, 2016
Causality reasoning about network events for detecting stealthy malware activities.
Comput. Secur., 2016
Capturing Planned Protests from Open Source Indicators.
AI Mag., 2016
Seeing the forest for the trees: new approaches to forecasting cascades.
Proceedings of the 8th ACM Conference on Web Science, 2016
Predicting the Popularity of News Articles.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Event Detection from Blogs Using Large Scale Analysis of Metaphorical Usage.
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
EMBERS AutoGSR: Automated Coding of Civil Unrest Events.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Leveraging Propagation for Data Mining: Models, Algorithms and Applications.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
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Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Multi-resolution Spatial Event Forecasting in Social Media.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Automatical Storyline Generation with Help from Twitter.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Causality-based Sensemaking of Network Traffic for Android Application Security.
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016
Predicting the shape and peak time of news article views.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Topical Analysis of Interactions Between News and Social Media.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
ThemeDelta: Dynamic Segmentations over Temporal Topic Models.
IEEE Trans. Vis. Comput. Graph., 2015
Bayesian Model Fusion for Forecasting Civil Unrest.
Technometrics, 2015
How events unfold: spatiotemporal mining in social media.
ACM SIGSPATIAL Special, 2015
Model-Based Forecasting of Significant Societal Events.
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IEEE Intell. Syst., 2015
An improved probability-one homotopy map for tracking constrained clustering solutions.
Proceedings of the Symposium on High Performance Computing, 2015
Spatiotemporal Event Forecasting in Social Media.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Concurrent Inference of Topic Models and Distributed Vector Representations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Time series forecasting via noisy channel reversal.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Online denoising of discrete noisy data.
Proceedings of the IEEE International Symposium on Information Theory, 2015
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
Dynamic theme tracking in Twitter.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Uncovering News-Twitter Reciprocity via Interaction Patterns.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
Combining Heterogeneous Data Sources for Civil Unrest Forecasting.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
Planned Protest Modeling in News and Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
A Five-Level Design Framework for Bicluster Visualizations.
IEEE Trans. Vis. Comput. Graph., 2014
Charging and Storage Infrastructure Design for Electric Vehicles.
ACM Trans. Intell. Syst. Technol., 2014
AutoLCA: A Framework for Sustainable Redesign and Assessment of Products.
ACM Trans. Intell. Syst. Technol., 2014
The human is the loop: new directions for visual analytics.
J. Intell. Inf. Syst., 2014
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis.
J. Am. Medical Informatics Assoc., 2014
(Hyper) local news aggregation: Designing for social affordances.
Gov. Inf. Q., 2014
Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas.
Data Min. Knowl. Discov., 2014
Misinformation Propagation in the Age of Twitter.
Computer, 2014
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?
Computer, 2014
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.
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Big Data, 2014
Detecting and forecasting domestic political crises: a graph-based approach.
Proceedings of the ACM Web Science Conference, 2014
Tracking constrained clustering solutions with a probability-one homotopy map.
Proceedings of the 2014 Spring Simulation Multiconference, 2014
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions.
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Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
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Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Modeling mass protest adoption in social network communities using geometric brownian motion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Safeguarding Abila: Spatio-temporal activity modeling VAST 2014 Mini Challenge 2 award: Honorable mention for effective presentation.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014
Safeguarding Abila: Discovering evolving activist networks VAST 2014 mini challenge 1: Unstructured text and network data analysis.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014
Safeguarding abila through multiple data perspectives VAST 2014 Grand Challenge award: Effective analysis and presentation.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014
Safeguarding Abila: Real-time streaming analysis VAST 2014 Mini Challenge 3: Streaming text analysis.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
ReCloud: semantics-based word cloud visualization of user reviews.
Proceedings of the Graphics Interface 2014, 2014
Forecasting location-based events with spatio-temporal storytelling.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2014
The role of interactive biclusters in sensemaking.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014
Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery.
Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security, 2014
Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
The EMBERS architecture for streaming predictive analytics.
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Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Discovering evolving political vocabulary in social media.
Proceedings of the 2014 International Conference on Behavioral, 2014
SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Improved Multiple Sequence Alignments Using Coupled Pattern Mining.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
A general streaming algorithm for pattern discovery.
Knowl. Inf. Syst., 2013
Modeling temporal relationships in large scale clinical associations.
J. Am. Medical Informatics Assoc., 2013
Recent Advances in Computational Epidemiology.
IEEE Intell. Syst., 2013
Mining Posets from Linear Orders.
Discret. Math. Algorithms Appl., 2013
How to "alternatize" a clustering algorithm.
Data Min. Knowl. Discov., 2013
Analyzing Civil Unrest through Social Media.
Computer, 2013
Bixplorer: Visual Analytics with Biclusters.
Computer, 2013
Gaining Insights into Epidemics by Mining Historical Newspapers.
Computer, 2013
Using hierarchical data mining to characterize performance of wireless system configurations.
Adv. Eng. Softw., 2013
Probability-one homotopy maps for tracking constrained clustering solutions.
Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013
Forex-foreteller: currency trend modeling using news articles.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Epidemiological modeling of news and rumors on Twitter.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013
STED: semi-supervised targeted-interest event detectionin in twitter.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
How analysts cognitively "connect the dots".
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013
Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
A semantic-aware approach to reasoning about network traffic relations.
Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013
Clustering with Complex Constraints - Algorithms and Applications.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results.
IEEE Trans. Vis. Comput. Graph., 2012
Continuous Iterative Guided Spectral Class Rejection Classification Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2012
Implementing modular adaptation of scientific software.
J. Comput. Sci., 2012
Visual exploration of frequent patterns in multivariate time series.
Inf. Vis., 2012
Parallel Mining of Neuronal Spike Streams on Graphics Processing Units.
Int. J. Parallel Program., 2012
Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes.
Comput. Sci. Eng., 2012
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences
CoRR, 2012
Factorizing Event Sequences.
Computer, 2012
Discovering the Ebb and Flow of Ideas from Text Corpora.
Computer, 2012
User Intention-Based Traffic Dependence Analysis for Anomaly Detection.
Proceedings of the 2012 IEEE Symposium on Security and Privacy Workshops, 2012
Bridging the Divide in Democratic Engagement: Studying Conversation Patterns in Advantaged and Disadvantaged Communities.
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012
Coordinated clustering algorithms to support charging infrastructure design for electric vehicles.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012
Storytelling in entity networks to support intelligence analysts.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
The Deshredder: A visual analytic approach to reconstructing shredded documents.
Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012
Efficient Episode Mining of Dynamic Event Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Temporal data mining approaches for sustainable chiller management in data centers.
ACM Trans. Intell. Syst. Technol., 2011
Discovering excitatory relationships using dynamic Bayesian networks.
Knowl. Inf. Syst., 2011
Data driven surrogate-based optimization in the problem solving environment WBCSim.
Eng. Comput., 2011
Using Data Mining to Help Design Sustainable Products.
Computer, 2011
Visualizing frequent patterns in large multivariate time series.
Proceedings of the Visualization and Data Analysis 2011, 2011
Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Using physicochemical properties of amino acids to induce graphical models of residue couplings.
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, 2011
Analyst's workspace: Protecting vastopolis.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011
Maintainable and reusable scientific software adaptation: democratizing scientific software adaptation.
Proceedings of the 10th International Conference on Aspect-Oriented Software Development, 2011
Discovering Life Cycle Assessment Trees from Impact Factor Databases.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Helping Intelligence Analysts Make Connections.
Proceedings of the Scalable Integration of Analytics and Visualization, 2011
2010
Dynamic tuning of algorithmic parameters of parallel scientific codes.
Proceedings of the International Conference on Computational Science, 2010
Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling.
Int. J. Knowl. Discov. Bioinform., 2010
Efficiently Discovering Hammock Paths from Induced Similarity Networks
CoRR, 2010
Mining Electronic Health Records.
Computer, 2010
Program transformations for information personalization.
Comput. Lang. Syst. Struct., 2010
Structuring ordered nominal data for event sequence discovery.
Proceedings of the 18th International Conference on Multimedia 2010, 2010
Extracting temporal signatures for comprehending systems biology models.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Diagnosing memory leaks using graph mining on heap dumps.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Unifying dependent clustering and disparate clustering for non-homogeneous data.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Visual analysis of frequent patterns in large time series.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010
Data Mining for Modeling Chiller Systems in Data Centers.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues.
Proceedings of the COLING 2010, 2010
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware.
Proceedings of the 7th Conference on Computing Frontiers, 2010
Mining Complex Boolean Expressions for Sequential Equivalence Checking.
Proceedings of the 19th IEEE Asian Test Symposium, 2010
2009
Protein Design by Sampling an Undirected Graphical Model of Residue Constraints.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
Exploring Out-of-turn Interactions with Websites.
J. Digit. Inf., 2009
Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics.
J. Bioinform. Comput. Biol., 2009
Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors
CoRR, 2009
Inferring Dynamic Bayesian Networks using Frequent Episode Mining
CoRR, 2009
Temporal Process Discovery in Many Guises.
Computer, 2009
The Pervasiveness of Data Mining asnd Machine Learning.
Computer, 2009
Capturing truthiness: mining truth tables in binary datasets.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Modular implementation of adaptive decisions in stochastic simulations.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Recommender systems for the conference paper assignment problem.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009
Accelerator-Oriented Algorithm Transformation for Temporal Data Mining.
Proceedings of the NPC 2009, 2009
Sustainable operation and management of data center chillers using temporal data mining.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
An Iterative Framework for the Improvement of Soft Clusters for Classificaction.
Proceedings of the 2009 International Conference on Image Processing, 2009
A Hypothesis Test for the Evaluation of Soft Clusters for Classification.
Proceedings of the 2009 International Conference on Image Processing, 2009
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis.
Proceedings of the ICDM 2009, 2009
Modular, Fine-Grained Adaptation of Parallel Programs.
Proceedings of the Computational Science, 2009
Mining linguistic cues for query expansion: applications to drug interaction search.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Gaussian Process Models in Spatial Data Mining.
Proceedings of the Encyclopedia of GIS., 2008
Algorithms for Storytelling.
IEEE Trans. Knowl. Data Eng., 2008
Compositional mining of multirelational biological datasets.
ACM Trans. Knowl. Discov. Data, 2008
Graphical Models of Residue Coupling in Protein Families.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008
Memory Switches in Chemical Reaction Space.
PLoS Comput. Biol., 2008
CMGSDB: integrating heterogeneous <i>Caenorhabditis elegans</i> data sources using compositional data mining.
Nucleic Acids Res., 2008
Compositional specification and realisation of mixed-initiative web dialogs.
Int. J. Web Eng. Technol., 2008
Unification of problem solving environment implementation layers with XML-based specifications.
Adv. Eng. Softw., 2008
Reconstructing chemical reaction networks: data mining meets system identification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Using Cost-Sensitive Learning to Determine Gene Conversions.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
Seeded Discovery of Base Relations in Large Corpora.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008
2007
Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering.
ACM Trans. Web, 2007
S<sup>4</sup>W: a problem-solving environment for wireless system design.
Softw. Pract. Exp., 2007
Validation and Estimation of Parameters for a General Probabilistic Model of the PCR Process.
J. Comput. Biol., 2007
Mining Web functional dependencies for flexible information access.
J. Assoc. Inf. Sci. Technol., 2007
From the Area Editor: Search-The New Incarnations.
Computer, 2007
The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007
2006
Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis.
ACM Trans. Math. Softw., 2006
The JigCell Model Builder: A Spreadsheet Interface for Creating Biochemical Reaction Network Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2006
Network reconstruction from dynamic data.
SIGKDD Explor., 2006
Spatial data mining to support pandemic preparedness.
SIGKDD Explor., 2006
Interacting with Web Hierarchies.
IT Prof., 2006
A general probabilistic model of the PCR process.
Appl. Math. Comput., 2006
BLOSOM: a framework for mining arbitrary boolean expressions.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Scalable Execution of Legacy Scientific Codes.
Proceedings of the Computational Science, 2006
2005
Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets.
IEEE Trans. Knowl. Data Eng., 2005
Novel runtime systems support for adaptive compositional modeling in PSEs.
Future Gener. Comput. Syst., 2005
A Model Based Approach to Reachability Routing
CoRR, 2005
From The Area Editor: Frontiers of Search.
Computer, 2005
Gaussian Processes for Active Data Mining of Spatial Aggregates.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Reasoning about sets using redescription mining.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
A Generative Programming Approach to Interactive Information Retrieval: Insights and Experiences.
Proceedings of the Generative Programming and Component Engineering, 2005
Redescription Mining: Structure Theory and Algorithms.
Proceedings of the Proceedings, 2005
2004
Globally optimal transmitter placement for indoor wireless communication systems.
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IEEE Trans. Wirel. Commun., 2004
Towards integrated PSEs for wireless communications: experiences with the S<sup>4</sup>W and SitePlanner® projects.
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ACM SIGMOBILE Mob. Comput. Commun. Rev., 2004
Personalization by Program Slicing.
J. Object Technol., 2004
Automatically Generating Interfaces for Personalized Interaction with Digital Libraries
CoRR, 2004
The JigCell Model Builder and Run Manager.
Bioinform., 2004
Staging transformations for multimodal web interaction management.
Proceedings of the 13th international conference on World Wide Web, 2004
Turning CARTwheels: an alternating algorithm for mining redescriptions.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Enhancing usability in CITIDEL: multimodal, multilingual, and interactive visualization interfaces.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004
Spatial Aggregation for Qualitative Assessment of Scientific Computations.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
BSML: A binding schema markup language for data interchange in problem solving environments.
Sci. Program., 2003
Improving the Development Process for Eukaryotic Cell Cycle Models with a Modeling Support Environment.
Simul., 2003
Studying Recommendation Algorithms by Graph Analysis.
J. Intell. Inf. Syst., 2003
From landscapes to waterscapes: A PSE for landuse change analysis.
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Eng. Comput., 2003
Supporting Out-of-turn Interactions in a Multimodal Web Interface
CoRR, 2003
Taking the Initiative with Extempore: Exploring Out-of-Turn Interactions with Websites
CoRR, 2003
Turning CARTwheels: An Alternating Algorithm for Mining Redescriptions
CoRR, 2003
Novel Runtime Systems Support for Adaptive Compositional Modeling on the Grid
CoRR, 2003
Reinforcing reachable route.
Comput. Networks, 2003
Personalizing interactions with information systems.
Adv. Comput., 2003
Next generation modeling II - applications: improving the development process for eukaryotic cell cycle models with a modeling support environment.
Proceedings of the 35th Winter Simulation Conference: Driving Innovation, 2003
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System.
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Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003
Gaussian Process Models of Spatial Aggregation Algorithms.
Proceedings of the IJCAI-03, 2003
The Traits of the Personable.
Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003
2002
Sampling strategies for mining in data-scarce domains.
Comput. Sci. Eng., 2002
Reinforcing Reachable Routes
CoRR, 2002
Weaves: A Novel Direct Code Execution Interface for Parallel High Performance Scientific Codes
CoRR, 2002
Using Hierarchical Data Mining to Characterize Performance of Wireless System Configurations
CoRR, 2002
BSML: A Binding Schema Markup Language for Data Interchange in Problem Solving Environments (PSEs)
CoRR, 2002
Qualitative Analysis of Correspondence for Experimental Algorithmics
CoRR, 2002
Programming environments for multidisciplinary Grid communities.
Concurr. Comput. Pract. Exp., 2002
MyPYTHIA: a recommendation portal for scientific software and services.
Concurr. Comput. Pract. Exp., 2002
The Emerging Landscape of Bioinformatics Software Systems.
Computer, 2002
Dynamic Data Structures for a Direct Search Algorithm.
Comput. Optim. Appl., 2002
Algebraic Techniques for Analysis of Large Discrete-Valued Datasets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002
Mixed-initiative interaction = mixed computation.
Proceedings of the 2002 ACM SIGPLAN Workshop on Partial Evaluation and Semantics-Based Program Manipulation (PEPM '02), 2002
S4W: Globally Optimized Design of Wireless Communications Systems.
Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002
Towards Preferences in Virtual Environment Interfaces.
Proceedings of the Eighth Eurographics Workshop on Virtual Environments, 2002
2001
Compression of particle data from hierarchical approximate methods.
ACM Trans. Math. Softw., 2001
Privacy Risks in Recommender Systems.
IEEE Internet Comput., 2001
The Expresso Microarray Experiment Management System: The Functional Genomics of Stress Responses in Loblolly Pine
CoRR, 2001
The Partial Evaluation Approach to Information Personalization
CoRR, 2001
Evaluating Recommendation Algorithms by Graph Analysis
CoRR, 2001
Explaining Scenarios for Information Personalization
CoRR, 2001
When being Weak is Brave: Privacy in Recommender Systems
CoRR, 2001
WebContext: remote access to shared context.
Proceedings of the 2001 workshop on Perceptive user interfaces, 2001
Ambiguity-Directed Sampling for Qualitative Analysis of Sparse Data from Spatially-Distributed Physical Systems.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
Modeling and Building Personalized Digital Libraries with PIPE and 5SL.
Proceedings of the Second DELOS Network of Excellence Workshop on Personalisation and Recommender Systems in Digital Libraries, 2001
2000
Note on generalization in experimental algorithmics.
ACM Trans. Math. Softw., 2000
Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes.
ACM Trans. Math. Softw., 2000
PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software.
ACM Trans. Math. Softw., 2000
PIPE: Web Personalization by Partial Evaluation.
IEEE Internet Comput., 2000
1999
PIPE: Personalizing Recommendations via Partial Evaluation
CoRR, 1999
Data Mining: From Serendipity to Science - Guest Editors' Introduction.
Computer, 1999
Networked Agents for Scientific Computing.
Commun. ACM, 1999
1998
Multiagent System Support of Networked Scientific Computing.
IEEE Internet Comput., 1998
Multidisciplinary Problem Solving Environments for Computational Science.
Adv. Comput., 1998
1997
Neuro-fuzzy approaches to collaborative scientific computing.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
A neuro-fuzzy approach to agglomerative clustering.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996