Lise Getoor | Academic Influence

Lise Getoor's AcademicInfluence.com Rankings

Lise Getoor

Computer Science

#1218

World Rank

#1258

Historical Rank

#631

USA Rank

Data Mining

#59

World Rank

#59

Historical Rank

#15

USA Rank

Machine Learning

#129

World Rank

#130

Historical Rank

#43

USA Rank

Artificial Intelligence

#281

World Rank

#286

Historical Rank

#114

USA Rank

computer-science Degrees

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Computer Science

Lise Getoor's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Mathematics University of California, Santa Barbara

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Why Is Lise Getoor Influential?

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According to Wikipedia, Lise Getoor is a professor in the computer science department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor.

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Lise Getoor'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

Collective Classification in Network Data (2008) (2730)
Learning Probabilistic Relational Models (1999) (1196)
Link mining: a survey (2005) (1090)
Link-Based Classification (2003) (828)
Collective entity resolution in relational data (2007) (659)
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles (2009) (626)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) (2007) (587)
Introduction to statistical relational learning (2007) (580)
Preserving the Privacy of Sensitive Relationships in Graph Data (2007) (441)
An Introduction to Conditional Random Fields for Relational Learning (2007) (378)
Entity Resolution: Theory, Practice & Open Challenges (2012) (306)
Learning Probabilistic Models of Link Structure (2003) (302)
A Latent Dirichlet Model for Unsupervised Entity Resolution (2005) (299)
Query-driven Active Surveying for Collective Classification (2012) (299)
Selectivity estimation using probabilistic models (2001) (293)
Knowledge Graph Identification (2013) (277)
Learning Probabilistic Models of Relational Structure (2001) (255)
Iterative record linkage for cleaning and integration (2004) (252)
Evolutionary Computing (1997) (245)
Link mining: a new data mining challenge (2003) (233)
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators (2014) (229)
SplicePort—An interactive splice-site analysis tool (2007) (217)
Markov Logic: A Unifying Framework for Statistical Relational Learning (2007) (213)
A short introduction to probabilistic soft logic (2012) (209)
Probabilistic Similarity Logic (2010) (187)
Using the structure of Web sites for automatic segmentation of tables (2004) (174)
Active Learning for Networked Data (2010) (169)
Probabilistic Relational Models (2014) (160)
FutureRank: Ranking Scientific Articles by Predicting their Future PageRank (2009) (145)
Co-evolution of social and affiliation networks (2009) (142)
Combining Collective Classification and Link Prediction (2007) (142)
PXML: a probabilistic semistructured data model and algebra (2003) (142)
Global Inference for Entity and Relation Identification via Linear Programming Formulation (2007) (141)
Graphical Models in a Nutshell (2007) (137)
Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic (2013) (135)
Structured machine learning: the next ten years (2008) (134)
Using Probabilistic Relational Models for Collaborative Filtering (1999) (132)
Learning statistical models from relational data (2011) (131)
Leveraging data and structure in ontology integration (2007) (128)
Learning Latent Engagement Patterns of Students in Online Courses (2014) (127)
PrDB: managing and exploiting rich correlations in probabilistic databases (2009) (123)
Joint Models of Disagreement and Stance in Online Debate (2015) (118)
Entity resolution in geospatial data integration (2006) (116)
Using Friendship Ties and Family Circles for Link Prediction (2008) (112)
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction (2013) (110)
Relationship Identification for Social Network Discovery (2007) (109)
Learning in Logic (2010) (105)
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification (2009) (105)
On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch (2009) (103)
Personalized explanations for hybrid recommender systems (2019) (103)
Query-time entity resolution (2006) (102)
Collective Spammer Detection in Evolving Multi-Relational Social Networks (2015) (100)
Probabilistic Models of Text and Link Structure for Hypertext Classification (2001) (99)
Entity resolution for big data (2013) (99)
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (2015) (98)
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems (2015) (98)
Privacy in Social Networks: A Survey (2011) (98)
Exploiting shared correlations in probabilistic databases (2008) (95)
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks (2006) (93)
Lifted graphical models: a survey (2011) (91)
Collective Stance Classification of Posts in Online Debate Forums (2014) (89)
Bayesian Logic Programming: Theory and Tool (2007) (87)
Utility Elicitation as a Classification Problem (1998) (86)
Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic (2014) (85)
Entity Resolution in Graphs (2005) (83)
Understanding MOOC Discussion Forums using Seeded LDA (2014) (82)
Effective label acquisition for collective classification (2008) (79)
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short (2017) (78)
A probabilistic approach for collective similarity-based drug-drug interaction prediction (2016) (77)
Common effect of antipsychotics on the biosynthesis and regulation of fatty acids and cholesterol supports a key role of lipid homeostasis in schizophrenia (2009) (76)
Gini Coefficient (2018) (76)
Probabilistic interval XML (2003) (73)
Deduplication and Group Detection using Links (2004) (72)
Probabilistic Entity-Relationship Models, PRMs, and Plate Models (2007) (69)
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation (2008) (66)
Relational clustering for multi-type entity resolution (2005) (64)
Bisimulation-based Approximate Lifted Inference (2009) (64)
User Preferences for Hybrid Explanations (2017) (62)
Planned Protest Modeling in News and Social Media (2015) (60)
Privacy in Social Networks (2012) (59)
Scalable text and link analysis with mixed-topic link models (2013) (59)
Opinion Graphs for Polarity and Discourse Classification (2009) (58)
Read-once functions and query evaluation in probabilistic databases (2010) (58)
VOILA: Efficient Feature-value Acquisition for Classification (2007) (57)
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums (2015) (56)
A Flexible Framework for Probabilistic Models of Social Trust (2013) (48)
Understanding tuberculosis epidemiology using structured statistical models (2004) (48)
Leveraging social context for searching social media (2008) (47)
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization (2012) (47)
Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels (2007) (47)
Stability and Generalization in Structured Prediction (2016) (46)
Growing a tree in the forest: constructing folksonomies by integrating structured metadata (2010) (45)
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration (2015) (45)
Organizing User Search Histories (2012) (44)
Link-based Active Learning (2009) (44)
Uncovering hidden engagement patterns for predicting learner performance in MOOCs (2014) (44)
Scope and Abstraction: Two Criteria for Localized Planning (1995) (43)
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications (2009) (43)
Name Reference Resolution in Organizational Email Archives (2006) (42)
What are the grand challenges for data mining?: KDD-2006 panel report (2006) (41)
Collective Stability in Structured Prediction: Generalization from One Example (2013) (40)
A dual-view approach to interactive network visualization (2007) (40)
Visual analysis of dynamic group membership in temporal social networks (2007) (40)
Learning Probabilistic Relational Models with Structural Uncertainty (2000) (40)
Trusting spam reporters: A reporter-based reputation system for email filtering (2008) (40)
Relational Markov Networks (2007) (38)
A Fairness-aware Hybrid Recommender System (2018) (38)
PRL: A probabilistic relational language (2006) (37)
BLOG: Probabilistic Models with Unknown Objects (2007) (36)
Active Surveying: A Probabilistic Approach for Identifying Key Opinion Leaders (2011) (36)
Subgraph pattern matching over uncertain graphs with identity linkage uncertainty (2013) (35)
Link-based Text Classification (35)
Collective Graph Identification (2016) (34)
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models (2004) (32)
Learning Algorithms for Link Prediction Based on Chance Constraints (2010) (31)
Link-based Classifi-cation using Labeled and Unlabeled Data (2003) (31)
Representing Tuple and Attribute Uncertainty in Probabilistic Databases (2007) (30)
Soft quantification in statistical relational learning (2017) (29)
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003 (2003) (29)
Social Capital in Friendship-Event Networks (2006) (29)
Collective Classi!cation in Network Data (2008) (28)
Inductive Logic Programming in a Nutshell (2007) (27)
Reflect and correct: A misclassification prediction approach to active inference (2009) (27)
Effective Redundant Constraints for Online Scheduling (1997) (27)
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources (2015) (26)
Using Feature Hierarchies in Bayesian Network Learning (2000) (26)
Predicting Post-Test Performance from Online Student Behavior: A High School MOOC Case Study (2016) (26)
Entity and Relationship Labeling in Affiliation Networks (2006) (26)
Drug-target interaction prediction for drug repurposing with probabilistic similarity logic (2013) (25)
Collective Entity Resolution in Familial Networks (2017) (25)
Features generated for computational splice-site prediction correspond to functional elements (2007) (25)
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations (2018) (25)
GeoDDupe: A Novel Interface for Interactive Entity Resolution in Geospatial Data (2007) (25)
Cost-sensitive learning with conditional Markov networks (2006) (25)
The COLLAGE/KHOROS Link: Planning for Image Processing Tasks (1995) (25)
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (2015) (24)
Eighth workshop on mining and learning with graphs (2011) (23)
Active Inference for Collective Classification (2010) (23)
Causal Relational Learning (2020) (23)
Explanation (1953) (23)
Logic-based Formalisms for Statistical Relational Learning (2007) (22)
An Introduction to Probabilistic Graphical Models for Relational Data (2006) (22)
Estimating Causal Effects of Tone in Online Debates (2019) (22)
A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction (2006) (22)
A Collective, Probabilistic Approach to Schema Mapping (2017) (21)
Collective Classification (2010) (21)
Probabilistic Soft Logic for Trust Analysis in Social Networks (2012) (21)
MLSys: The New Frontier of Machine Learning Systems (2019) (21)
PAC-Bayesian Collective Stability (2014) (21)
Predicting Protein-Protein Interactions Using Relational Features (2007) (21)
LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES (2008) (21)
Value of Information Lattice: Exploiting Probabilistic Independence for Effective Feature Subset Acquisition (2011) (21)
G-PARE: A visual analytic tool for comparative analysis of uncertain graphs (2011) (21)
Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing (2011) (21)
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss (2013) (21)
LA-LDA: A Limited Attention Topic Model for Social Recommendation (2013) (20)
Pruning social networks using structural properties and descriptive attributes (2005) (20)
Social Group Modeling with Probabilistic Soft Logic (2012) (20)
SysML: The New Frontier of Machine Learning Systems (2019) (20)
Using classifier cascades for scalable e-mail classification (2011) (20)
A Socio-linguistic Model for Cyberbullying Detection (2018) (20)
Collective Activity Detection Using Hinge-loss Markov Random Fields (2013) (20)
Graph Summarization in Annotated Data Using Probabilistic Soft Logic (2012) (20)
Fairness in Relational Domains (2018) (20)
Data Sciences Technology for Homeland Security Information Management and Knowledge Discovery (2005) (19)
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning (2010) (19)
Declarative analysis of noisy information networks (2011) (19)
RELLY: Inferring Hypernym Relationships Between Relational Phrases (2015) (19)
Generative Learning (2010) (19)
TACI: Taxonomy-Aware Catalog Integration (2013) (19)
Probabilistic Visitor Stitching on Cross-Device Web Logs (2017) (18)
Introduction to the special issue on link mining (2005) (18)
A Latent Dirichlet Allocation Model for Entity Resolution (2005) (18)
A probabilistic approach for learning folksonomies from structured data (2010) (18)
From Instances to Classes in Probabilistic Relational Models (2000) (17)
A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence (2019) (17)
SourceSight: Enabling Effective Source Selection (2016) (17)
Reducing opinion polarization: Effects of exposure to similar people with differing political views (2021) (17)
Using Semantics and Statistics to Turn Data into Knowledge (2015) (17)
Continual Learning (2010) (16)
Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context (2009) (16)
Ontology-aware partitioning for knowledge graph identification (2013) (16)
Collective entity resolution in multi-relational familial networks (2018) (16)
Collective Classification for Text Classification (2009) (16)
SRL2003 IJCAI 2003 Workshop on Learning Statistical Models from Relational Data (2003) (15)
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach (2017) (15)
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization (2013) (14)
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study (2016) (14)
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence (2005) (13)
Discovering evolving political vocabulary in social media (2014) (13)
Generating and Understanding Personalized Explanations in Hybrid Recommender Systems (2020) (13)
Increasing the Predictive Power of Affiliation Networks (2007) (13)
Feature Generation and Selection in Multi-Relational Statistical Learning (2007) (13)
Ego-centric Graph Pattern Census (2012) (13)
Local structure and determinism in probabilistic databases (2012) (12)
Understanding actor loyalty to event-based groups in affiliation networks (2011) (12)
Tutorial on Statistical Relational Learning (2005) (12)
Topic Modeling for Wikipedia Link Disambiguation (2014) (12)
Grammatical Tagging (2010) (12)
Dynamic Processing Allocation in Video (2011) (12)
Generic Statistical Relational Entity Resolution in Knowledge Graphs (2016) (12)
Joint Estimation of User And Publisher Credibility for Fake News Detection (2020) (12)
Large-Scale Knowledge Graph Identification Using PSL (2013) (11)
Efficient learning using constrained sufficient statistics (1999) (11)
A Survey of Link Mining Tasks for Analyzing Noisy and Incomplete Networks (2010) (11)
Reducing Label Cost by Combining Feature Labels and Crowdsourcing (2011) (11)
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs (2015) (11)
Capital and benefit in social networks (2005) (10)
Research Challenges and Opportunities in Knowledge Representation (2013) (10)
SRL2004 ICML 2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (2004) (10)
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees (2015) (10)
Improved Generalization Bounds for Large-scale Structured Prediction (2012) (9)
Decision-Driven Models with Probabilistic Soft Logic (2010) (9)
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG '10, Washington, D.C., USA, July 24-25, 2010 (2010) (9)
Multi-relational influence models for online professional networks (2017) (8)
A Structured Approach to Understanding Recovery and Relapse in AA (2018) (8)
Finding Prominent Actors in Dynamic Affiliation Networks (2012) (8)
Language Bias (2010) (8)
Active inference for retrieval in camera networks (2011) (8)
Scalable Structure Learning for Probabilistic Soft Logic (2018) (8)
Online Collective Entity Resolution (2007) (7)
Probabilistic Soft Logic: A Scalable Approach for Markov Random Fields over Continuous-Valued Variables - (Abstract of Keynote Talk) (2013) (7)
The Impact of Environmental Stressors on Human Trafficking (2018) (7)
Model-Based Forecasting of Significant Societal Events (2015) (7)
A Feature Generation Algorithm with Applications to Bio- logical Sequence Classiﬁcation (2007) (7)
The Benefits of Learning with Strongly Convex Approximate Inference (2015) (7)
Learning to Predict Web Collaborations (2011) (7)
2 Graphical Models in a Nutshell (2008) (7)
Inferring Organizational Titles in Online Communication (2006) (7)
C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership (2007) (7)
Forecasting rare disease outbreaks from open source indicators (2017) (7)
Entity Resolution Evaluation Measures (2012) (7)
Collective graph identification (2011) (7)
Personal Name Resolution in Email : A Heuristic Approach (2008) (7)
Identifying graphs from noisy and incomplete data (2009) (6)
Lifted Hinge-Loss Markov Random Fields (2019) (6)
NeuPSL: Neural Probabilistic Soft Logic (2022) (6)
5 Probabilistic Relational Models (2008) (6)
A Comparison of Bottom-Up Approaches to Grounding for Templated Markov Random Fields (2018) (6)
Learning Latent Groups with Hinge-loss Markov Random Fields (2013) (6)
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage (2020) (6)
The Responsibility Challenge for Data (2019) (6)
Stochastic Logic Programs: A Tutorial (2007) (5)
Using Semantics & Statistics to Turn Data into Knowledge (2014) (5)
Latent Factor Models and Matrix Factorizations (2010) (5)
A Method for the Detection of Meaningful and Reproducible Group Signatures from Gene Expression Profiles (2010) (5)
Capturing Planned Protests from Open Source Indicators (2016) (5)
Cost-Sensitive Classification (2010) (5)
Integrating Structured Metadata with Relational Affinity Propagation (2010) (5)
Identifying Facet Mismatches In Search Via Micrographs (2019) (5)
Indirect two-sided relative ranking: a robust similarity measure for gene expression data (2010) (5)
Budgeted Online Collective Inference (2015) (5)
A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases (2014) (5)
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue (2022) (5)
Leave-One-Out Error (2010) (5)
Link Mining and Link Discovery (2010) (5)
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields (2020) (5)
Extending PSL with Fuzzy Quantifiers (2014) (5)
Generalization Performance (2010) (5)
Reinforcement Learning in Relational Domains: A Policy-Language Approach (2007) (4)
Multi-Relational Data Mining using Probabilistic Models Research Summary (2001) (4)
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference (2020) (4)
Is there a grand challenge or X-prize for data mining? (2006) (4)
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis (2006) (4)
Scalable Probabilistic Causal Structure Discovery (2018) (4)
Proximity Measure for Recommending Groups in Online Social Networks (2008) (4)
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction (2007) (4)
The Dynamics of Actor Loyalty to Groups in Affiliation Networks (2009) (4)
Collective Relational Clustering (2008) (4)
Statistical Relational Learning for Natural Language Information Extraction (2007) (4)
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic (2020) (4)
GRDB: a system for declarative and interactive analysis of noisy information networks (2013) (4)
HOMER : Ontology alignment visualization and analysis (2007) (4)
Local Explanation of Dialogue Response Generation (2021) (3)
Detecting Cyber-bullying from Sparse Data and Inconsistent Labels (2017) (3)
Estimating Causal Effects of Exercise from Mood Logging Data (2018) (3)
Prediction, evolution and privacy in social and affiliation networks (2011) (3)
Content-Based Filtering (2010) (3)
A taxonomy of weight learning methods for statistical relational learning (2021) (3)
Linear Separability (2010) (3)
Statistical Relational Learning with Soft Quantifiers (2015) (3)
Cooperative Coevolution (2010) (3)
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks (2016) (3)
Proceedings of the eighth Workshop on Mining and Learning with Graphs : July 24-25, Washington, DC, USA : MLG'10 (2010) (3)
How friendship links and group memberships affect the privacy of individuals in social networks (2008) (3)
Graph Identification (2010) (3)
Aligning Product Categories using Anchor Products (2018) (3)
Utility Elicitation as a Classiication Problem (1998) (3)
Graph-based Generalization Bounds for Learning Binary Relations (2013) (3)
Exploiting statistical and relational information on the web and in social media (2011) (3)
Stability vs. Diversity: Understanding the Dynamics of Actors in Time-Varying Affiliation Networks (2012) (3)
Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 (2008) (3)
Topic Evolution Models for Long-Running MOOCs (2018) (3)
D-REX: Dialogue Relation Extraction with Explanations (2021) (2)
AAAI 2000 Workshop Reports (2001) (2)
Forecasting Rare Disease Outbreaks with Spatio-temporal Topic Models (2013) (2)
Lifted First-Order Probabilistic Inference (2007) (2)
Operating System Support for Data Management on Modern Hardware. (2019) (2)
Learning from Labeled and Unlabeled Data (2010) (2)
Clustering Ensembles (2010) (2)
Evaluation Data (2010) (2)
Genetic Grouping (2010) (2)
Collective Inference and Multi-Relational Learning for Drug – Target Interaction Prediction (2013) (2)
Learning Structure From Statistical Models (2003) (2)
Data Analytics for Pharmaceutical Discoveries (2015) (2)
Genetic Clustering (2010) (2)
The Design and Implementatin of IBAL: A General-Purpose Probabilistic Language (2007) (2)
HyperFair: A Soft Approach to Integrating Fairness Criteria (2020) (2)
Multi-relational Weighted Tensor Decomposition (2012) (2)
User Profiling Using Hinge-loss Markov Random Fields (2020) (2)
Joint Probabilistic Inference of Causal Structure (2016) (2)
A comparison of statistical relational learning and graph neural networks for aggregate graph queries (2021) (2)
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (2009) (2)
Combining statistical and logical inference for ontology alignment (2006) (2)
Fairness-Aware Relational Learning and Inference (2018) (2)
Collective entity resolution in multi-relational familial networks (2018) (2)
The Power of Relational Learning (Invited Talk) (2019) (2)
Classification Learning (2009) (2)
A Declarative Approach to Fairness in Relational Domains (2019) (2)
Understanding Hybrid-MOOC Effectiveness with a Collective Socio-Behavioral Model (2019) (2)
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering (2010) (2)
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis (2007) (1)
Correlation-Based Learning (2010) (1)
A Collective, Probabilistic Approach to Schema Mapping: Appendix (2017) (1)
Understanding Influence in Online Professional Networks (2015) (1)
Tractable Marginal Inference for Hinge-Loss Markov Random Fields (2019) (1)
Responsible Data Science (2019) (1)
Proceedings of the Twenty-Eighth International Conference on Machine Learning (2011) (1)
VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic (2020) (1)
Materializing multi-relational databases from the web using taxonomic queries (2011) (1)
Relational Clustering for Entity Resolution Queries (1)
Classification of group behaviors in social media via social behavior grammars (2014) (1)
Statistical Relational Learning: Unifying AI & DB Perspectives on Structured Probabilistic Models (2017) (1)
Efficient Resource-constrained Retrospective Analysis of Long Video Sequences (2009) (1)
Context-Sensitive Learning (2010) (1)
Unsupervised models for predicting strategic relations between organizations (2016) (1)
Cross-Language Question Answering (2010) (1)
On the Strong Convexity of Variational Inference (2014) (1)
Learning Bias (2010) (1)
Using Noisy Extractions to Discover Causal Knowledge (2017) (1)
Competitive Coevolution (2010) (1)
Complex Adaptive System (2010) (1)
Feature generation and analysis applied to sequence classification for splice-site prediction (2007) (1)
Practical Planning in COLLAGE (1994) (1)
Tractable Probabilistic Reasoning Through Effective Grounding (2019) (1)
Learning a New View of a Database: With an Application in Mammography (2007) (1)
AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead (2010) (1)
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis (2005) (1)
Technical Perspective (2020) (1)
Inferring Age, Gender and Personality of Social Media Users Using Textual, Visual and Relational Data (2020) (1)
Click-Through Rate (CTR) (2010) (1)
Growth Function (2010) (1)
Network sampling (2013) (1)
A Pipeline Approach to Graph Identification (2009) (0)
Candidate-Elimination Algorithm (2010) (0)
Learning Control Rules (2010) (0)
Statistical Relational Learning (SRL) as an Enabling Technology for Data Acquisition and Data Fusion in Video (2013) (0)
Link Prediction (2010) (0)
Error Curve (2010) (0)
Embodied Evolutionary Learning (2010) (0)
Combining Tuple and Attribute Uncertainty in Probabilistic Databases (2007) (0)
Grammar Learning (2010) (0)
Generality And Logic (2010) (0)
Learning Hinge-loss Markov Random Fields with Latent Variables (2013) (0)
Estimating Aggregate Properties In Relational Networks With Unobserved Data (2020) (0)
MODELING FOR WIKIPEDIA LINK DISAMBIGUATION by Bradley Alan Skaggs (2011) (0)
Efficient E-mail Management System with Bandwidth Reduction and 3-Level Message Prioritization (2019) (0)
Mining for and from the Semantic Web 2004 (SWM 2004) (2004) (0)
Evaluation Set (2010) (0)
DiffXtract: Joint Discriminative Product Attribute-Value Extraction (2021) (0)
Evolutionary Constructive Induction (2010) (0)
Learning explainable templated graphical models (2022) (0)
Error Squared (2010) (0)
Genetic Feature Selection (2010) (0)
Genetics-Based Machine Learning (2010) (0)
Responsible Data Science (2019) (0)
Local Distance Metric Adaptation (2010) (0)
Liquid State Machine (2010) (0)
Covering Algorithm (2010) (0)
Connection Strength (2010) (0)
Negative Weights in Hinge-Loss Markov Random Fields (2021) (0)
Approximate Inference Algorithms for Approaches based on Local Conditional Classifiers (2007) (0)
Eecient Learning Using Constrained Suucient Statistics (1999) (0)
Commercial Email Filtering (2010) (0)
Long-Term Potentiation of Synapses (2010) (0)
Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies (2014) (0)
Random Walks for Text Semantic Similarity Wikiwalk: Random Walks on Wikipedia for Semantic Relatedness Measuring Semantic Relatedness with Vector Space Models and Random Walks Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-reduce Opinion Graphs for Polarity and Discourse (2009) (0)
The Power of (Statistical) Relational Thinking (2022) (0)
Evolutionary Feature Synthesis (2010) (0)
A Collective Approach to Graph Identification (2010) (0)
Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web (2011) (0)
Cannot-Link Constraint (2010) (0)
Competitive Learning (2010) (0)
Group Detection (2010) (0)
City Block Distance (2010) (0)
Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic (2015) (0)
Entity Resolution (2010) (0)
Continuous Attribute (2010) (0)
Co-reference Resolution (2010) (0)
Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks (2022) (0)
1996 CENR Initiatives (1996) (0)
for Prediction City Region Re-Weighting (2022) (0)
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Context-aware query recommendations Context-aware query recommendations (2020) (0)
Context-Aware Online Collective Inference for Templated Graphical Models (2021) (0)
Clustering with Side Information (2010) (0)
Online Collective Demand Forecasting for Bike Sharing Services (2023) (0)
Experience Curve (2010) (0)
Content Match (2010) (0)
A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA (2020) (0)
Edge Prediction (2010) (0)
Clause Learning (2010) (0)
Emotion Recognition in Conversation using Probabilistic Soft Logic (2022) (0)
Certainty Equivalence Principle (2010) (0)
Coevolutionary Computation (2010) (0)
Learning from Complex Data (2010) (0)
Learning with Hidden Context (2010) (0)
Explanation-Based Generalization for Planning (2010) (0)
Online Scheduling for Reprographic Machines (1997) (0)
Content-Based Recommending (2010) (0)
Collective Alignment of Large-scale Ontologies (2019) (0)
Consensus Clustering (2020) (0)
Labeled Data (2010) (0)
Evolution of Robot Control (2010) (0)
Computational Discovery of Quantitative Laws (2010) (0)
MULTI-RELATIONAL DATA MINING 2001 (2001) (0)
Elman Network (2010) (0)
Scalable structured prediction for richly structured socio-behavioral data (2018) (0)
Example-Based Programming (2010) (0)
Joint Judgments with a Budget : Strategies for Reducing the Cost of Inference (2013) (0)
Lifted graphical models: a survey (2014) (0)
Categorical Attribute (2010) (0)
Relational Dependency Networks (2007) (0)
Cost-to-Go Function Approximation (2010) (0)
Clustering of Nonnumerical Data (2010) (0)
Contrast Set Mining (2010) (0)
Multi-relational Affinity Propagation (2022) (0)
Evolutionary Grouping (2010) (0)
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 (2006) (0)
Genetic Attribute Construction (2010) (0)
A workshop report: mining for and from the Semantic Web at KDD 2004 (2004) (0)
Local Feature Selection (2010) (0)
Discovering schema mappings with probabilistic soft logic (2013) (0)
Panel Discussion on Artificial Intelligence Theory and Practice: Hard Challenges and Opportunities Ahead (2016) (0)
Cross-Language Document Categorization (2010) (0)
Lift (2010) (0)
Efficient Learning Losses for Deep Hinge-Loss Markov Random Fields (2022) (0)
Loss Function (2010) (0)
LOO Error (2010) (0)
Experience-Based Reasoning (2010) (0)
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation (2023) (0)
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009 (2009) (0)
Cost Function (2010) (0)
7 Link-based Classification (2005) (0)
Committee Machines (2010) (0)
Cluster Optimization (2010) (0)
Large-Scale Knowledge Graph Identification using PSL Extended Abstract (2013) (0)
Cluster Ensembles (2010) (0)
Comparable Corpus (2010) (0)
General-to-Specific Search (2010) (0)
Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09) (2010) (0)
Genetic Neural Networks (2010) (0)
Collective Stability in Structured Prediction: Appendix (2008) (0)
ASONAM 2016 panel: Social network analysis for social good (2016) (0)
Learning from Nonvectorial Data (2010) (0)
CausalDialogue: Modeling Utterance-level Causality in Conversations (2022) (0)
Statistical Relational Learning as an Enabling Technology for Data Acquisition and Data Fusion in Heterogeneous Sensor Networks (2008) (0)
Evolution of Agent Behaviors (2010) (0)
Laplace Estimate (2010) (0)
PAC-Bayesian Collective Stability Supplemental Material (2014) (0)
Learning with Different Classification Costs (2010) (0)
Generalized Delta Rule (2010) (0)
Emerging Patterns (2010) (0)
Lessons-Learned Systems (2010) (0)
Positive Sentiment Positive Emotion Negative Sentiment Negative Emotion Anxiety Anger Sadness Linguistic Style Articles Certainty Conjunctions Discrepancy Exclusive Inclusive Inhibition Negations Prepositions Quantifiers Tentative First Person Singular First Person Plural Second Person (2019) (0)
Disaggregating Appliance-Level Energy Consumption: A Probabilistic Framework (2016) (0)
Active Surveying (2010) (0)
Cluster Editing (2010) (0)
Closest Point (2010) (0)
Large-margin Structured Learning for Link Ranking (2013) (0)
Growing Set (2010) (0)
Estimation of Density Level Sets (2010) (0)
Constructing folksonomies by integrating structured metadata (2010) (0)
Soft quantification in statistical relational learning (2017) (0)
Learning Explainable Templated Graphical Models - Supplementary Material (2022) (0)
ASONAM 2016 keynotes: Ideas and inventions (2016) (0)
Entity Resolution at Large Scale: Benchmarking and Algorithmics. (2018) (0)
label (2022) (0)
Leveraging Data and Structure in (2009) (0)
Compositional Coevolution (2010) (0)
Linear Regression Trees (2010) (0)
Clustering with Advice (2010) (0)
Learning Word Senses (2010) (0)
Logical Regression Tree (2010) (0)

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