Narayanan Ramakrishnan
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Data Mining
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Computer Science
Narayanan Ramakrishnan's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
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(Suggest an Edit or Addition)Narayanan Ramakrishnan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Epidemiological modeling of news and rumors on Twitter (2013) (304)
- 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators (2014) (229)
- Privacy Risks in Recommender Systems (2001) (202)
- A systematic review of studies on forecasting the dynamics of influenza outbreaks (2013) (193)
- The human is the loop: new directions for visual analytics (2014) (142)
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models (2018) (136)
- Misinformation Propagation in the Age of Twitter (2014) (135)
- Deep Reinforcement Learning for Sequence-to-Sequence Models (2018) (134)
- Studying Recommendation Algorithms by Graph Analysis (2003) (133)
- Sub2Vec: Feature Learning for Subgraphs (2018) (111)
- A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings (2013) (94)
- Compression, clustering, and pattern discovery in very high-dimensional discrete-attribute data sets (2005) (93)
- Incorporating Prior Domain Knowledge into Deep Neural Networks (2018) (91)
- PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software (2000) (88)
- Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions (2014) (88)
- Dynamic Data Structures for a Direct Search Algorithm (2002) (87)
- Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media (2017) (82)
- Results from the second year of a collaborative effort to forecast influenza seasons in the United States. (2018) (81)
- Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics (2018) (81)
- Algorithms for Storytelling (2006) (80)
- Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges (2011) (79)
- Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 (2019) (76)
- Redescription Mining: Structure Theory and Algorithms (2005) (76)
- In-building wideband multipath characteristics at 2.5 and 60 GHz (2002) (76)
- Reasoning about sets using redescription mining (2005) (74)
- Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery (2014) (74)
- Growing pains for global monitoring of societal events (2016) (72)
- Sustainable operation and management of data center chillers using temporal data mining (2009) (72)
- Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths (2015) (69)
- Gaussian Processes for Active Data Mining of Spatial Aggregates (2005) (68)
- Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models (2016) (67)
- Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling (2014) (66)
- Mining Electronic Health Records (2010) (64)
- Graphical Models of Residue Coupling in Protein Families (2005) (63)
- STED: semi-supervised targeted-interest event detectionin in twitter (2013) (62)
- Storytelling in entity networks to support intelligence analysts (2012) (62)
- SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning (2015) (62)
- Predicting the Popularity of News Articles (2016) (60)
- Planned Protest Modeling in News and Social Media (2015) (60)
- Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models (2014) (60)
- Recommender systems for the conference paper assignment problem (2009) (59)
- Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning (2016) (56)
- Globally optimal transmitter placement for indoor wireless communication systems (2004) (56)
- Studying the Functional Genomics of Stress Responses in Loblolly Pine With the Expresso Microarray Experiment Management System (2002) (55)
- Networked agents for scientific computing (1999) (55)
- Memory Switches in Chemical Reaction Space (2008) (55)
- DeepDiffuse: Predicting the 'Who' and 'When' in Cascades (2018) (55)
- Causality reasoning about network events for detecting stealthy malware activities (2016) (53)
- Forecasting Social Unrest Using Activity Cascades (2015) (53)
- Spatiotemporal Event Forecasting in Social Media (2015) (52)
- Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting (2016) (52)
- Modeling temporal relationships in large scale clinical associations (2013) (51)
- A comparative evaluation of the theoretical failure criteria for workability in cold forging (2003) (51)
- Personalizing Web sites with mixed-initiative interaction (2003) (51)
- Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction (2015) (50)
- PIPE: Web Personalization by Partial Evaluation (2000) (50)
- ThemeDelta: Dynamic Segmentations over Temporal Topic Models (2015) (50)
- Diagnosing memory leaks using graph mining on heap dumps (2010) (50)
- An experimental study on the abrasive jet deburring of cross-drilled holes (1999) (50)
- Problem Solving Handbook in Computational Biology and Bioinformatics (2010) (49)
- Visual exploration of frequent patterns in multivariate time series (2012) (49)
- BLOSOM: a framework for mining arbitrary boolean expressions (2006) (48)
- Nonorthogonal decomposition of binary matrices for bounded-error data compression and analysis (2006) (46)
- Analyzing Civil Unrest through Social Media (2013) (45)
- Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble (2012) (45)
- A framework for evaluating epidemic forecasts (2017) (44)
- Connecting the Dots between PubMed Abstracts (2012) (43)
- The JigCell Model Builder and Run Manager (2004) (41)
- Forex-foreteller: currency trend modeling using news articles (2013) (40)
- Towards Preferences in Virtual Environment Interfaces (2002) (39)
- Combining heterogeneous data sources for civil unrest forecasting (2015) (39)
- Recent Advances in Computational Epidemiology (2013) (39)
- Helping Intelligence Analysts Make Connections (2011) (38)
- Detecting and forecasting domestic political crises: a graph-based approach (2014) (38)
- Enhancing usability in CITIDEL: multimodal, multilingual, and interactive visualization interfaces (2004) (36)
- Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks (2016) (36)
- User Intention-Based Traffic Dependence Analysis for Anomaly Detection (2012) (35)
- Coordinated clustering algorithms to support charging infrastructure design for electric vehicles (2012) (35)
- SIGNet: Scalable Embeddings for Signed Networks (2017) (34)
- Mixed-initiative interaction = mixed computation (2001) (34)
- Graphical models of protein–protein interaction specificity from correlated mutations and interaction data (2009) (33)
- Mining and visualizing recommendation spaces for elliptic PDEs with continuous attributes (2000) (33)
- Bixplorer: Visual Analytics with Biclusters (2013) (33)
- ReCloud: semantics-based word cloud visualization of user reviews (2014) (33)
- Automatic targeted-domain spatiotemporal event detection in twitter (2016) (32)
- Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting (2017) (32)
- Clustering mass spectrometry data using order statistics (2003) (32)
- Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach (2016) (31)
- The Deshredder: A visual analytic approach to reconstructing shredded documents (2012) (31)
- A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events (2016) (31)
- EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System (2016) (31)
- Describing the Relationship between Cat Bites and Human Depression Using Data from an Electronic Health Record (2013) (30)
- Staging transformations for multimodal web interaction management (2003) (30)
- Improving the Development Process for Eukaryotic Cell Cycle Models with a Modeling Support Environment (2003) (30)
- Reverse engineering dynamic temporal models of biological processes and their relationships (2010) (30)
- Multi-resolution Spatial Event Forecasting in Social Media (2016) (29)
- A Five-Level Design Framework for Bicluster Visualizations (2014) (29)
- The JigCell Model Builder: a spreadsheet interface for creating biochemical reaction network models (2006) (29)
- Unifying dependent clustering and disparate clustering for non-homogeneous data (2010) (29)
- Seeing the forest for the trees: new approaches to forecasting cascades (2016) (28)
- Tracking Multiple Social Media for Stock Market Event Prediction (2017) (28)
- Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis (2014) (27)
- Protein Design by Sampling an Undirected Graphical Model of Residue Constraints (2009) (27)
- Programming environments for multidisciplinary Grid communities (2002) (27)
- Temporal data mining approaches for sustainable chiller management in data centers (2011) (26)
- SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources (2015) (26)
- Investigation into Mass Loading Sensitivity of Sezawa Wave Mode-Based Surface Acoustic Wave Sensors (2013) (26)
- The Emerging Landscape of Bioinformatics Software Systems (2002) (25)
- Personalizing interactions with information systems (2003) (25)
- Modeling regulatory networks at Virginia Tech. (2003) (25)
- Deep Transfer Reinforcement Learning for Text Summarization (2018) (25)
- PYTHIA - (2007) (25)
- Scatter/Gather Clustering: Flexibly Incorporating User Feedback to Steer Clustering Results (2012) (25)
- Spatial data mining to support pandemic preparedness (2006) (25)
- Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression (2015) (24)
- Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study (2015) (24)
- Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System (2014) (24)
- Modeling mass protest adoption in social network communities using geometric brownian motion (2014) (24)
- Compositional mining of multirelational biological datasets (2008) (24)
- Mitigating Uncertainty in Document Classification (2019) (23)
- Efficient Episode Mining of Dynamic Event Streams (2012) (23)
- Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues (2010) (23)
- Long-Span Program Behavior Modeling and Attack Detection (2017) (22)
- Data mining approaches for life cycle assessment (2011) (22)
- Causality-based Sensemaking of Network Traffic for Android Application Security (2016) (22)
- Distributed Representations of Subgraphs (2017) (22)
- Integrated Computing Environments for Watershed Management (2002) (22)
- Generating Realistic Synthetic Population Datasets (2016) (21)
- Discovering excitatory relationships using dynamic Bayesian networks (2011) (21)
- A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation (2017) (20)
- When being Weak is Brave: Privacy in Recommender Systems (2001) (20)
- Modeling to Predict Cases of Hantavirus Pulmonary Syndrome in Chile (2014) (20)
- Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data (2017) (20)
- EMBERS AutoGSR: Automated Coding of Civil Unrest Events (2016) (20)
- Mining scientific data (2001) (20)
- Topical Analysis of Interactions Between News and Social Media (2016) (19)
- The role of interactive biclusters in sensemaking (2014) (19)
- Computing with Proteins (2009) (19)
- Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 (2020) (19)
- S4W: globally optimized design of wireless communication systems (2002) (19)
- Accelerator-Oriented Algorithm Transformation for Temporal Data Mining (2009) (19)
- Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling (2010) (18)
- Charging and Storage Infrastructure Design for Electric Vehicles (2014) (18)
- Multi-source models for civil unrest forecasting (2016) (17)
- Reconstructing formal temporal models of cellular events using the GO process ontology (2005) (17)
- Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization (2017) (17)
- GAUSS: an online algorithm selection system for numerical quadrature (2002) (17)
- MyPYTHIA: a recommendation portal for scientific software and services (2002) (17)
- Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering (2007) (16)
- Event Detection using Hierarchical Multi-Aspect Attention (2019) (16)
- Bridging the Divide in Democratic Engagement: Studying Conversation Patterns in Advantaged and Disadvantaged Communities (2012) (16)
- Novel runtime systems support for adaptive compositional modeling in PSEs (2005) (16)
- Flow of Information in Feed-Forward Deep Neural Networks (2016) (16)
- Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior (2016) (15)
- From landscapes to waterscapes: A PSE for landuse change analysis (2003) (15)
- Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems (2020) (15)
- Kalman Filters for Dynamic and Secure Smart Grid State Estimation (2015) (15)
- STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting (2018) (15)
- Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors (2016) (15)
- The EMBERS architecture for streaming predictive analytics (2014) (15)
- Mining Complex Boolean Expressions for Sequential Equivalence Checking (2010) (15)
- Multiagent System Support Of Networked Scientific Computing (1998) (15)
- Using Data Mining to Help Design Sustainable Products (2011) (15)
- Algebraic Techniques for Analysis of Large Discrete-Valued Datasets (2002) (15)
- Automatical Storyline Generation with Help from Twitter (2016) (14)
- Online Spatial Event Forecasting in Microblogs (2016) (14)
- CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining (2007) (14)
- Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics (2009) (14)
- Personalization by Partial Evaluation. (2001) (14)
- Global Optimization of Transmitter Placement for Indoor Wireless Communication Systems (2002) (14)
- Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis (2009) (14)
- Distributed Representations of Signed Networks (2017) (13)
- Bayesian Model Fusion for Forecasting Civil Unrest (2015) (13)
- The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs (2019) (13)
- Clustering with Complex Constraints - Algorithms and Applications (2013) (13)
- Towards integrated PSEs for wireless communications: experiences with the S4W and SitePlanner® projects (2004) (13)
- Discovering evolving political vocabulary in social media (2014) (13)
- Mining Posets from Linear Orders (2013) (13)
- Modular, Fine-Grained Adaptation of Parallel Programs (2009) (13)
- Redescription Mining and Applications in Bioinformatics (2009) (13)
- Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas (2014) (13)
- What to know before forecasting the flu (2018) (12)
- Sparse estimation of multivariate Poisson log‐normal models from count data (2016) (12)
- illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems (2018) (12)
- Determining Relative Airport Threats from News and Social Media (2017) (12)
- Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models (2015) (12)
- Data Mining for Modeling Chiller Systems in Data Centers (2010) (11)
- Discovering Life Cycle Assessment Trees from Impact Factor Databases (2011) (11)
- The Partial Evaluation Approach to Information Personalization (2001) (11)
- A Digital Library for Recovery, Research, and Learning From April 16, 2007, at Virginia Tech (2008) (11)
- net.science: A Cyberinfrastructure for Sustained Innovation in Network Science and Engineering (2020) (11)
- Dynamic theme tracking in Twitter (2015) (11)
- Interacting with Web Hierarchies (2006) (11)
- Lightweight data management for compositional modeling in problem solving environments (2001) (10)
- A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors (2019) (10)
- Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality (2020) (10)
- Forecasting the Flu: Designing Social Network Sensors for Epidemics (2016) (10)
- Modeling and Building Personalized Digital Libraries with PIPE and 5SL (2001) (10)
- An experiment management component for the WBCSim problem solving environment (2004) (10)
- Exploring Out-of-turn Interactions with Websites (2009) (10)
- Network reconstruction from dynamic data (2006) (10)
- A First Step Towards Nuance-Oriented Interfaces for Virtual Environments (2001) (10)
- Uncovering news-Twitter reciprocity via interaction patterns (2015) (10)
- Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework (2020) (9)
- Mining Web functional dependencies for flexible information access (2007) (9)
- Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak? (2014) (9)
- How to “alternatize” a clustering algorithm (2013) (9)
- Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media (2015) (9)
- The Traits of the Personable (2002) (9)
- Explaining Scenarios for Information Personalization (2001) (9)
- Forecasting location-based events with spatio-temporal storytelling (2014) (8)
- Expresso-A PSE for Bioinformatics: Finding Answers with Microarray Technology (2001) (8)
- The big data of violent events: algorithms for association analysis using spatio-temporal storytelling (2016) (8)
- Data Mining Solutions for Sustainability Problems (2012) (8)
- Visualizing frequent patterns in large multivariate time series (2011) (8)
- Distributed Representation of Subgraphs (2017) (8)
- Using AntiPatterns to avoid MLOps Mistakes (2021) (8)
- New methods to generate massive synthetic networks (2017) (8)
- Portfolio Mining (2012) (8)
- Reconstructing chemical reaction networks: data mining meets system identification (2008) (8)
- Using Cost-Sensitive Learning to Determine Gene Conversions (2008) (8)
- Discovering the Ebb and Flow of Ideas from Text Corpora (2012) (7)
- Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores (2021) (7)
- Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware (2010) (7)
- Dynamic tuning of algorithmic parameters of parallel scientific codes (2010) (7)
- Extracting temporal signatures for comprehending systems biology models (2010) (7)
- Cultivating Emerging and Black Swan Technologies (2012) (7)
- How analysts cognitively “connect the dots” (2013) (7)
- Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences (2012) (7)
- Modular implementation of adaptive decisions in stochastic simulations (2009) (7)
- Gaining Insights into Epidemics by Mining Historical Newspapers (2013) (7)
- Social Media based Simulation Models for Understanding Disease Dynamics (2018) (7)
- Forecasting rare disease outbreaks from open source indicators (2017) (7)
- Where do I start?: algorithmic strategies to guide intelligence analysts (2012) (7)
- AutoLCA: A Framework for Sustainable Redesign and Assessment of Products (2014) (7)
- Model-Based Forecasting of Significant Societal Events (2015) (7)
- Concurrent Inference of Topic Models and Distributed Vector Representations (2015) (6)
- GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources (2017) (6)
- How events unfold: spatiotemporal mining in social media (2016) (6)
- Efficiently Discovering Hammock Paths from Induced Similarity Networks (2010) (6)
- Scouts, promoters, and connectors: the roles of ratings in nearest neighbor collaborative filtering (2006) (6)
- Computational steering in the problem solving environment WBCSim (2011) (6)
- Deriving Kripke structures from time series segmentation results (2008) (6)
- Using relative importance methods to model high-throughput gene perturbation screens. (2008) (6)
- The Pervasiveness of Data Mining asnd Machine Learning (2009) (6)
- Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data (2018) (6)
- Reconstructing Partial Orders from Linear Extensions (2006) (6)
- Evaluating Recommendation Algorithms by Graph Analysis (2001) (6)
- Improved Multiple Sequence Alignments Using Coupled Pattern Mining (2012) (6)
- Computational Approaches to Combining Predictive Biological Models (2002) (6)
- Predicting the shape and peak time of news article views (2016) (6)
- STAN: Synthetic Network Traffic Generation with Generative Neural Models (2020) (6)
- Mining linguistic cues for query expansion: applications to drug interaction search (2009) (6)
- Multi-Task Learning for Transit Service Disruption Detection (2018) (5)
- Maintainable and reusable scientific software adaptation: democratizing scientific software adaptation (2011) (5)
- Capturing Planned Protests from Open Source Indicators (2016) (5)
- EINNs: Epidemiologically-Informed Neural Networks (2022) (5)
- Algorithms for Feature Selection in Rank-Order Spaces (2005) (5)
- Unification of problem solving environment implementation layers with XML-based specifications (2008) (5)
- BSML: A Binding Schema Markup Language for Data Interchange in Problem Solving Environments (PSEs) (2002) (5)
- Temporal Data Mining for Neuroscience (2011) (5)
- Geospatial Clustering for Balanced and Proximal Schools (2020) (5)
- Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors (2009) (5)
- Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices (2016) (5)
- Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning (2021) (5)
- Designing Domain Specific Word Embeddings: Applications to Disease Surveillance (2016) (5)
- WCDMA STTD performance analysis with transmitter location optimization in indoor systems using ray-tracing technique (2002) (5)
- Data driven surrogate-based optimization in the problem solving environment WBCSim (2011) (5)
- Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization (2020) (5)
- When being Weak is Brave: Privacy Issues in Recommender Systems (2008) (5)
- A Common Lisp Application to Discover Kripke Models : Redescribing Biological Processes from Time-Course Data ∗ (2005) (5)
- Correlation between computed equilibrium secondary structure free energy and siRNA efficiency (2009) (5)
- Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes (2012) (5)
- Using physicochemical properties of amino acids to induce graphical models of residue couplings (2011) (5)
- Validation and Estimation of Parameters for a General Probabilistic Model of the PCR Process (2007) (4)
- Remembrance of Experiments Past: Analyzing Time Course Datasets to Discover Complex Temporal Invariants (2005) (4)
- Secure and adaptive state estimation for a PMU-equipped smart grid (2015) (4)
- SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text (2014) (4)
- Temporal Process Discovery in Many Guises (2009) (4)
- An integrated data mining framework for analysis and prediction of battery characteristics (2014) (4)
- Features of Problem Solving Environments for Computational Science (2000) (4)
- Probability-one homotopy maps for tracking constrained clustering solutions (2013) (4)
- Probability-one homotopy methods for constrained clustering (2018) (4)
- Assigning Bus Delay and Predicting Travel Times using Automated Vehicle Location Data (2019) (4)
- Time series forecasting via noisy channel reversal (2015) (4)
- Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? (2016) (4)
- EpiDeep (2019) (4)
- Weaves: A Novel Direct Code Execution Interface for Parallel High Performance Scientific Codes (2002) (4)
- S4W: a problem‐solving environment for wireless system design (2007) (4)
- A general probabilistic model of the PCR process (2006) (4)
- Absenteeism Detection in Social Media (2017) (4)
- Leveraging Topic Models to Develop Metrics for Evaluating the Quality of Narrative Threads Extracted from News Stories (2015) (4)
- Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach (2019) (4)
- The Expresso Microarray Experiment Management System: The Functional Genomics of Stress Responses in Loblolly Pine (2001) (4)
- A general streaming algorithm for pattern discovery (2013) (4)
- Continuous Iterative Guided Spectral Class Rejection Classification Algorithm (2012) (4)
- Reinforcing reachable route (2002) (4)
- Spatio-Temporal Storytelling on Twitter (2013) (4)
- The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition (2007) (4)
- illiad (2018) (4)
- Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery (2013) (3)
- Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications (2021) (3)
- Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza (2014) (3)
- Fourth SIGKDD Workshop on Temporal Data Mining: Network Reconstruction from Dynamic Data (2006) (3)
- Detecting Suspicious Timber Trades (2020) (3)
- Dynamic encoding of sensory information in biomimetic sonar baffle (2013) (3)
- BLOSOM : A Framework for Mining Boolean Expressions (2006) (3)
- Improving Zero-Shot Event Extraction via Sentence Simplification (2022) (3)
- Big Data (2016) (3)
- Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information (2021) (3)
- A Data Mining Environment for Modeling the Performance of Scientific Software (2000) (3)
- On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game (2019) (3)
- STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models (2020) (3)
- Workability Limits in Cold Forging: Investigation of the Deformation Mechanics through FEA (2007) (3)
- Data Mining Applications in Bioinformatics (2001) (3)
- Structuring ordered nominal data for event sequence discovery (2010) (3)
- Personalizing the GAMS Cross-Index (2000) (3)
- Flow of Information in Feed-Forward Denoising Neural Networks (2018) (3)
- Online denoising of discrete noisy data (2015) (3)
- How to get a Free Lunch (at no cost) (1999) (3)
- Factorizing Event Sequences (2012) (3)
- Seeded Discovery of Base Relations in Large Corpora (2008) (3)
- A cross-sectional study on patterns, motivating factors and barriers for physical activity among undergraduate medical students (2014) (2)
- Forecasting Rare Disease Outbreaks with Spatio-temporal Topic Models (2013) (2)
- POSTER: A semantic-aware approach to reasoning about network traffic relations (2013) (2)
- Seventh IEEE International Conference on Data Mining Workshops - Cover (2007) (2)
- Agent Based Systems to Support Multi- disciplinary Probelm Solving Environments (1997) (2)
- From the Area Editor: Search-The New Incarnations (2007) (2)
- From The Area Editor: Frontiers of Search (2005) (2)
- Analyst's workspace: Protecting vastopolis (2011) (2)
- Leveraging Propagation for Data Mining: Models, Algorithms and Applications (2016) (2)
- Knowledge discovery and data mining for enhanced sustainability of physical ecosystems (2009) (2)
- Segmentations with Explanations for Outage Analysis (2018) (2)
- Parallel Mining of Neuronal Spike Streams on Graphics Processing Units (2012) (2)
- The Good, Bad and the Indifferent: Explorations in Recommender System Health (2005) (2)
- Innovations in Neural Data-to-text Generation (2022) (2)
- Automatically Generating Interfaces for Personalized Interaction with Digital Libraries (2004) (2)
- ITR : Understanding Stress Resistance Mechanisms in Plants : Multimodal Models Integrating Experimental Data , Databases , and the Literature (2002) (2)
- Implementing modular adaptation of scientific software (2012) (2)
- Visual analysis of frequent patterns in large time series (2010) (2)
- Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources (2017) (2)
- Inferring Dynamic Bayesian Networks using Frequent Episode Mining (2009) (2)
- Temporal Mining Mixture Model for Residential Occupancy Prediction (2017) (2)
- Hierarchical Quickest Change Detection via Surrogates (2016) (2)
- T3: Domain-Agnostic Neural Time-series Narration (2021) (2)
- A generative programming approach to interactive information retrieval: insights and experiences (2005) (2)
- Usability Challenges underlying Bicluster Interaction for Sensemaking (2016) (2)
- Mining Novellas from PubMed Abstracts using a Storytelling Algorithm (2007) (1)
- Forecasting Influenza in Senegal with Call Detail Records (2015) (1)
- Compression of particle data from hierarchical approximate methods (2001) (1)
- Capturing truthiness: mining truth tables in binary datasets (2009) (1)
- When do Crowds Turn Violent? Uncovering Triggers from Media (2018) (1)
- Novel Runtime Systems Support for Adaptive Compositional Modeling on the Grid (2003) (1)
- Web Mechanics: Personalizing the GAMS Cross-Index (2000) (1)
- Safeguarding Abila: Spatio-temporal activity modeling VAST 2014 Mini Challenge 2 award: Honorable mention for effective presentation (2014) (1)
- Safeguarding Abila: Discovering evolving activist networks VAST 2014 mini challenge 1: Unstructured text and network data analysis (2014) (1)
- Privacy Risks to Straddlers in Recommender Systems (2001) (1)
- Identifying geopolitical event precursors using attention-based LSTMs (2022) (1)
- Pruning Decision Trees via Max-Heap Projection (2017) (1)
- Cut-n-Reveal (2020) (1)
- Privacy Risks in Recommender (2001) (1)
- Incorporating Expert Guidance in Epidemic Forecasting (2020) (1)
- Systems Biology via Redescription and Ontologies (II): A Tool for Discovery in Complex Systems (2010) (1)
- Personalization by Program Slicing (2004) (1)
- Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics. (2007) (1)
- Modal Logic, Temporal Models and Neural Circuits: What Connects Them (2007) (1)
- MULTIAGENT RECOMMENDER SYSTEMS IN NETWORKED SCIENTIFIC COMPUTING (2000) (1)
- CLUSTERING CONSTRAINED BY DEPENDENCIES (2013) (1)
- Affordances and Feedback in Nuance-Oriented Interfaces (2001) (1)
- Enrichment procedures for soft clusters: A statistical test and its applications (2014) (1)
- GridWeaver: A Fully-Automatic System for Microarray Image Analysis Using Fast Fourier Transforms (2008) (1)
- Detecting Media Self-Censorship without Explicit Training Data (2020) (1)
- Forecasting Gang Homicides with Multi-level Multi-task Learning (2018) (1)
- Safeguarding abila through multiple data perspectives VAST 2014 Grand Challenge award: Effective analysis and presentation (2014) (1)
- CTRnet Final Report (2013) (1)
- Biological data mining (2008) (1)
- Data analysis and modeling pipelines for controlled networked social science experiments (2020) (1)
- Social Media as a Sensor for Censorship Detection in News Media (2016) (1)
- PYTHIA-II: A Knowledge Discovery in Databases System for Managing Performance Data and Recommending Scientific Software (1999) (1)
- EFFECTIVENESS OF FLIPPED CLASSROOM LEARNING IN THE ACHIEVEMENT OF COMPUTER SCIENCE AMONG HIGHER SECONDARY SCHOOL STUDENTS (2020) (1)
- A Hypothesis Test for the Evaluation of Soft Clusters for Classification (2009) (1)
- An Iterative Framework for the Improvement of Soft Clusters for Classificaction (2009) (0)
- PIPE: Personalizing Recommendations via Partial Evaluation (1999) (0)
- Cs 6604: Data Mining 2 Relational Apriori 2.1 Queries (2007) (0)
- Probability-one Homotopy Maps for Constrained Clustering Problems (2013) (0)
- Covering Linear Orders with Posets (0)
- SUPPORT OF NETWORKED (1998) (0)
- Tracking constrained clustering solutions with a probability-one homotopy map (2014) (0)
- Interactive and Iterative Discovery of Entity Network Subgraphs (2016) (0)
- Studying Constrained Clustering Problems Using Homotopy Maps (2015) (0)
- PYTHIA-II: A Knowledge/Data Base System for Testing and Recommending Scientific (1999) (0)
- Real-time Forecasting of On-Time Performance in Metrorail Systems (2018) (0)
- GOALIE, a common lisp application to discover "Hidden Kripke Models": Redescribing biological processes from time-coarse data (2005) (0)
- Pythia-II: A Knowledge/Data Base for Testing and Recommending Scientific Software (1998) (0)
- Cs 6604: Data Mining 2 Decision Trees 2.1 Choosing the Attributes 2.1.1 Splitting Criteria (2007) (0)
- Evaluation of Local Co-Ordinates in Finite Elements Using Generic Algorithm. (2009) (0)
- Detecting Anomalies Through Contrast in Heterogeneous Data (2021) (0)
- Cloth roll doffing machine for Indian powerloom industry (2008) (0)
- 1 Temporal Data Mining for Neuroscience (2010) (0)
- Analyst's Workspace: Protecting Vastopolis VAST 2011 Mini-Challenge 3 Award: "Novel Use of Large Screen Workspace to Support Analysis" (2011) (0)
- Memetic Algorithms for Spatial Partitioning Problems (2022) (0)
- The Role of Problem Solving Environments in Watershed Assessment (2006) (0)
- The Dynamics of Competing Cascades in Social Media : Applications to Agenda Setting (2014) (0)
- Framing Algorithmic Recourse for Anomaly Detection (2022) (0)
- Comprar The Problem Solving Handbook for Computational Biology and Bioinformatics | Heath, Lenwood S. | 9780387097596 | Springer (2010) (0)
- Initial efforts to mine electronic health records are unlikely to yield many Eureka insights , but there are many opportunities for improving the delivery , efficiency , and effectiveness of healthcare (2010) (0)
- Mining and visualizing recommendation spaces for PDE solvers: the continuous attributes case (2002) (0)
- What Do Users like About Smart Bottle? Insights for Designers (2019) (0)
- TCube: Domain-Agnostic Neural Time-series Narration (2021) (0)
- Protein Design by Mining and Sampling an Undirected Graphical Model of Evolutionary Constraints (2007) (0)
- A Model Based Approach to Reachability Routing (2005) (0)
- Efficient Generative Wireless Anomaly Detection for Next Generation Networks (2022) (0)
- Continuous Iterative Guided Spectral Class Rejection Classification Algorithm for Hyperspectral Data (2014) (0)
- RAD: Rapid Automobile Data Analytics Framework for Structured Data (2020) (0)
- An Epidemiology of Information: Data Mining the 1918 Influenza Pandemic (2014) (0)
- Cs 6604: Data Mining (2007) (0)
- Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback (2022) (0)
- Fusing computing and biology expertise , bioinformatics software provides a powerful tool for organizing and mining the vast amounts of data genetics researchers are accumulating (2001) (0)
- Can Self-Censorship in News Media be Detected Algorithmically? A Case Study in Latin America (2016) (0)
- Scalable Execution of Legacy Scientific Codes (2006) (0)
- Changes in word usage patterns in text corpora can yield insight into historic events and discoveries (2012) (0)
- Advanced Security Threats and Mitigation Techniques in Virtualized Environment (2019) (0)
- The human is the loop: new directions for visual analytics (2014) (0)
- Comprehending Biochemical Network Dynamics through Automatic Inference of State Transition Diagrams (2009) (0)
- Algorithms for reconstructing and reasoning about chemical reaction networks (2012) (0)
- Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas (2014) (0)
- Effect of the COVID-19 pandemic waves on quality of sleep in patients with Insomnia (2022) (0)
- An improved probability-one homotopy map for tracking constrained clustering solutions (2015) (0)
- A School Redistricting Integer Programming Model for Achieving Connected School Attendance Zones (2021) (0)
- Interactive Storytelling over Document Collections (2016) (0)
- Safeguarding Abila: Real-time streaming analysis VAST 2014 Mini Challenge 3: Streaming text analysis (2014) (0)
- Program Transformations f or Information Personalization (2009) (0)
- Personalizing Sites with Mixed- Initiative (2003) (0)
- Learning probabilistic models of connectivity from multiple spike train data (2010) (0)
- O ct 2 00 1 Mixed-Initiative Interaction = Mixed Computation ∗ (2017) (0)
- Fault diagnosis of reciprocating compressors using artificial neural networks (2016) (0)
- Cs 6604: Data Mining 1 Searching for Sets 2 Algorithms for Searching Set Spaces (2007) (0)
- Categorical Maximum Entropy model 3 . 1 Categorical MaxEnt Model Specification (2018) (0)
- A Dependency Analysis for Traffic Anomaly Detection (2012) (0)
- Follow the $ $ $ : Networks and Flows of Disaster Recovery Funding (2014) (0)
- Design, Implementation and Performance Evaluation of Synchronous and Asynchronous Arbiters (2010) (0)
- Sparse Estimation of Multivariate Poisson Log-Normal Model and Inverse Covariance for Count Data (2016) (0)
- Personalized Nuance-Oriented Interaction in Virtual Environments (2001) (0)
- Scalable Traffic Dependence Analysis for Detecting Android Malware Activities (2015) (0)
- Effectiveness of CAI Package on Achievement in Physics of IX Standard Students. (2015) (0)
- The dynamics of important temporal processes can now be automatically reconstructed from data (2009) (0)
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What Schools Are Affiliated With Narayanan Ramakrishnan?
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