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Lifted Variable Elimination for Probabilistic Logic Programming

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Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs

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Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models

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DETECTING COPY NUMBER VARIATIONS FROM ARRAY CGH DATA BASED ON A CONDITIONAL RANDOM FIELD MODEL

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Ensemble method to joint inference for knowledge extraction

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On Inductive Abilities of Latent Factor Models for Relational Learning

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Human-Guided Learning for Probabilistic Logic Models

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Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning

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Bayesian Meta-Prior Learning Using Empirical Bayes

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Using Semantics and Statistics to Turn Data into Knowledge

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Structure and Dynamics of Information in Networks

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Application of semi-supervised learning with Voronoi Graph for place classification

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Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper

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Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases

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Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labeling

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Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach

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Computational Models for Social Network Analysis

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Interactive Visual Graph Mining and Learning

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Situation awareness modeling for emergency management on offshore platforms

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Inference of Biomedical Relations Among Chemicals, Genes, Diseases, and Symptoms Using Knowledge Representation Learning

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Statistical Relational Learning

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Exchangeable Variable ModelsPreprint

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Enhancing link prediction through adversarial training in deep Nonnegative Matrix Factorization

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Is supply chain digitization a supportive instrument for green energy resilience? A heterogeneity factors analysis for OECD economies under environmental sustainability

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Multi-core Structural SVM Training

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Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning

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Probabilistic Dialogue Models with Prior Domain Knowledge

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Collective extraction from heterogeneous web lists

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Conditional p-adic probability logic

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A comparison of pruning criteria for probability trees

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Learning to "Read Between the Lines" using Bayesian Logic Programs

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Probabilities on Sentences in an Expressive Logic

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A general MCMC method for Bayesian inference in logic-based probabilistic modeling

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Relational time series forecasting

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A Collective, Probabilistic Approach to Schema Mapping Using Diverse Noisy Evidence

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Machine Learning and Knowledge Discovery in Databases

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SemCaDo: A serendipitous strategy for causal discovery and ontology evolution

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Importance-weighted the imbalanced data for C-SVM classifier to human activity recognition

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Identifying entities from scientific publications: A comparison of vocabulary- and model-based methods

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Diamonds in the Rough: Event Extraction from Imperfect Microblog Data

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Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks

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Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling

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Learning a Markov Logic network for supervised gene regulatory network inference

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Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model

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Semantic Analysis for Automatic Event Recognition and Segmentation of Wedding Ceremony Videos

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Tunneling Neural Perception and Logic Reasoning through Abductive LearningPreprint

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Enabling Knowledge Refinement upon New Concepts in Abductive Learning

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ChatABL: Abductive Learning via Natural Language Interaction With ChatGPT

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Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model

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Answer Set Programming with External Source Access

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Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

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Enabling Abductive Learning to Exploit Knowledge Graph

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Toward Markov Logic with Conditional Probabilities.

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Probabilistic Programming Process Algebra

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Collective Graph Identification

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Boosting relational dependency networks

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News events prediction using Markov logic networks

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Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge

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Some thoughts on knowledge-enhanced machine learning

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A multi-resolution approach to learning with overlapping communities

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Exploiting Semantic and Visual Context for Effective Video Annotation

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Learning and Interpreting Multi-Multi-Instance Learning NetworksPreprint

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Probabilistic Complex Event Recognition: A SurveyPreprint

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Reasoning about causality in games

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Generalized Counting for Lifted Variable Elimination

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Potential modeling: conditional independence matters

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Probabilistic Programming Language and its Incremental Evaluation

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Control Diffusion of Information Collection for Situation Understanding Using Boosting MLNs

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Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics

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Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI

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Using Empirically Constructed Lexical Resources for Named Entity Recognition

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Relational Learning with GPUs: Accelerating Rule Coverage

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Maximum Margin Dirichlet Process Mixtures for Clustering

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The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws

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On the realization of the recognition-primed decision model for artificial agents

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Transfer learning by mapping and revising boosted relational dependency networks

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Benchmarking qualitative spatial calculi for video activity analysis

Sridhar, M., Cohn, A. G., & Hogg, D. (2011) · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · Cited by 12

Parameter Screening and Optimisation for ILP Using Designed Experiments

Srinivasan, A., & Ramakrishnan, G. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13840-9_21 · Cited by 12

Statistical Relational Learning

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A Statistical Method for Integrated Data Cleaning and Imputation

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Keywords Network Analysis of Articles in the North Korean Journal of Preventive Medicine 1997~2006

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Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain

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Towards robust cross-domain domain adaptation for part-of-speech tagging

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Representing Meaning with a Combination of Logical Form and Vectors.Preprint

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Comparative Analysis of Project Risks across Construction Sectors

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Multistrategy Learning for Robot Behaviours

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Detection and categorization of bacteria habitats using shallow linguistic analysis

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Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity

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Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction

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Satisfiability in EL with Sets of Probabilistic ABoxes.

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Actively Interacting with Experts: A Probabilistic Logic Approach

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Evaluating Classification Feasibility Using Functional Dependencies

Guilly, M. L., Petit, J.-M., & Scuturici, V.-M. (2020) · Lecture notes in computer science · doi:10.1007/978-3-662-62271-1_5 · Cited by 11

Knowledge Enhanced Neural Networks for Relational Domains

Daniele, A., & Serafini, L. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-27181-6_7 · Cited by 11

Statistical Relational Learning

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Statistical relational learning and probabilistic programming

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Statistical relational learning: a logical approach

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Statistical relational learning using ProbLog

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Probabilistic Logic and Relational Models

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