Naren Ramakrishnan

Orcid: 0000-0002-1821-9743

Affiliations:
  • Virginia Tech, Blacksburg, Virginia, USA


According to our database1, Naren Ramakrishnan authored at least 370 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of two.
  • Erdős number3 of three.

Timeline

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Bibliography

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

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.
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.
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.
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.
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.
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.
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

Big Data.
Computer, 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.
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.
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.
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.
Proceedings of the 2014 SIAM International Conference on 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.
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

Portfolio Mining.
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

Computing with Proteins.
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

Biological data mining.
Sci. Program., 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.
IEEE Trans. Wirel. Commun., 2004

Towards integrated PSEs for wireless communications: experiences with the S<sup>4</sup>W and SitePlanner® projects.
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.
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.
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

Mining scientific data.
Adv. Comput., 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


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