Jan Ramon

According to our database, Jan Ramon authored at least 95 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Linear Programs with Conjunctive Database Queries.

Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon

Log. Methods Comput. Sci., 2024

SoK: Verifiable Cross-Silo FL.

Aleksei Korneev, Jan Ramon

CoRR, 2024

Honest Fraction Differential Privacy.

Imane Taibi, Jan Ramon

Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

2023

Private Sampling with Identifiable Cheaters.

César Sabater, Florian Hahn, Andreas Peter, Jan Ramon

Proc. Priv. Enhancing Technol., April, 2023

Limits of multi-relational graphs.

Juan Alvarado, Yuyi Wang, Jan Ramon

Mach. Learn., January, 2023

DP-SGD with weight clipping.

Antoine Barczewski, Jan Ramon

CoRR, 2023

Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies.

Alberto Pedrouzo-Ulloa, Jan Ramon, Fernando Pérez-González, Siyanna Lilova, Patrick Duflot, Zakaria Chihani, Nicola Gentili, Paola Ulivi, Mohammad Ashadul Hoque, Twaha Mukammel, Zeev Pritzker, Augustin Lemesle, Jaime Loureiro-Acuña, Xavier Martínez Luaña, Gonzalo Jiménez-Balsa

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022

An accurate, scalable and verifiable protocol for federated differentially private averaging.

César Sabater, Aurélien Bellet, Jan Ramon

Mach. Learn., 2022

Linear Programs with Conjunctive Queries.

Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon

Proceedings of the 25th International Conference on Database Theory, 2022

2020

Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties.

César Sabater, Aurélien Bellet, Jan Ramon

CoRR, 2020

Interpretable Privacy with Optimizable Utility.

Jan Ramon, Moitree Basu

Proceedings of the ECML PKDD 2020 Workshops, 2020

2019

Dependency Weighted Aggregation on Factorized Databases.

Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon

CoRR, 2019

2018

A machine learning based framework to identify and classify long terminal repeat retrotransposons.

Leander Schietgat, Celine Vens, Ricardo Cerri, Carlos N. Fischer, Eduardo P. Costa, Jan Ramon, Claudia M. A. Carareto, Hendrik Blockeel

PLoS Comput. Biol., 2018

Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model.

Irma Ravkic, Martin Znidarsic, Jan Ramon, Jesse Davis

Data Min. Knowl. Discov., 2018

Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries.

Pierre Dellenbach, Aurélien Bellet, Jan Ramon

CoRR, 2018

2017

Learning from Networked Examples.

Yuyi Wang, Zheng-Chu Guo, Jan Ramon

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016

Guest editors introduction: special issue on inductive logic programming.

Jesse Davis, Jan Ramon

Mach. Learn., 2016

Bounds for Learning from Evolutionary-Related Data in the Realizable Case.

Ondrej Kuzelka, Yuyi Wang, Jan Ramon

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Predicate logic as a modeling language: modeling and solving some machine learning and data mining problems with <i>IDP3</i>.

Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer

Theory Pract. Log. Program., 2015

Learning relational dependency networks in hybrid domains.

Irma Ravkic, Jan Ramon, Jesse Davis

Mach. Learn., 2015

Naive Infinite Enumeration of Context-free Languages in Incremental Polynomial Time.

Christophe Costa Florêncio, Jonny Daenen, Jan Ramon, Jan Van den Bussche, Dries Van Dyck

J. Univers. Comput. Sci., 2015

A Note on Restricted Forms of LGG.

Ondrej Kuzelka, Jan Ramon

Proceedings of the Late Breaking Papers of the 25th International Conference on Inductive Logic Programming, 2015

Mine 'Em All: A Note on Mining All Graphs.

Ondrej Kuzelka, Jan Ramon

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel.

Leander Schietgat, Thomas Fannes, Jan Ramon

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

U-statistics on network-structured data with kernels of degree larger than one.

Yuyi Wang, Christos Pelekis, Jan Ramon

Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

Towards a Framework for Learning from Networked Data.

Jan Ramon

Proceedings of the Graph-Based Representation and Reasoning, 2014

Graph and Network Pattern Mining.

Jan Ramon, Constantin Comendant, Mostafa Haghir Chehreghani, Yuyi Wang

Proceedings of the Mining User Generated Content., 2014

2013

An efficiently computable subgraph pattern support measure: counting independent observations.

Yuyi Wang, Jan Ramon, Thomas Fannes

Data Min. Knowl. Discov., 2013

Nearly exact mining of frequent trees in large networks.

Ashraf M. Kibriya, Jan Ramon

Data Min. Knowl. Discov., 2013

Learning from networked examples in a k-partite graph.

Yuyi Wang, Jan Ramon, Zheng-Chu Guo

CoRR, 2013

Predicate Logic as a Modeling Language: Modeling and Solving some Machine Learning and Data Mining Problems with IDP3.

Maurice Bruynooghe, Hendrik Blockeel, Bart Bogaerts, Broes De Cat, Stef De Pooter, Joachim Jansen, Anthony Labarre, Jan Ramon, Marc Denecker, Sicco Verwer

CoRR, 2013

PIUS: peptide identification by unbiased search.

Eduardo P. Costa, Gerben Menschaert, Walter Luyten, Kurt De Grave, Jan Ramon

Bioinform., 2013

A polynomial-time maximum common subgraph algorithm for outerplanar graphs and its application to chemoinformatics.

Leander Schietgat, Jan Ramon, Maurice Bruynooghe

Ann. Math. Artif. Intell., 2013

Detecting Bicliques in GF[q].

Jan Ramon, Pauli Miettinen, Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width.

Tamás Horváth, Keisuke Otaki, Jan Ramon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Guided Monte Carlo Tree Search for Planning in Learned Environments.

Jelle Van Eyck, Jan Ramon, Fabian Güiza Grandas, Geert Meyfroidt, Maurice Bruynooghe, Greta Van den Berghe

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Open Problem: Learning Dynamic Network Models from a Static Snapshot.

Jan Ramon, Constantin Comendant

Proceedings of the COLT 2012, 2012

An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining.

Yuyi Wang, Jan Ramon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Hybrid Logical Bayesian Networks.

Irma Ravkic, Jan Ramon, Jesse Davis

Proceedings of the Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, 2012

Modeling Machine Learning and Data Mining Problems with FO(·).

Hendrik Blockeel, Bart Bogaerts, Maurice Bruynooghe, Broes De Cat, Stef De Pooter, Marc Denecker, Anthony Labarre, Jan Ramon, Sicco Verwer

Proceedings of the Technical Communications of the 28th International Conference on Logic Programming, 2012

2011

Effective feature construction by maximum common subgraph sampling.

Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt

Mach. Learn., 2011

Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model.

Geert Meyfroidt, Fabian Güiza Grandas, Dominiek Cottem, Wilfried De Becker, Kristien Van Loon, Jean-Marie Aerts, Daniel Berckmans, Jan Ramon, Maurice Bruynooghe, Greta Van den Berghe

BMC Medical Informatics Decis. Mak., 2011

Preface.

Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok

Fundam. Informaticae, 2011

All normalized anti-monotonic overlap graph measures are bounded.

Toon Calders, Jan Ramon, Dries Van Dyck

Data Min. Knowl. Discov., 2011

2010

Learning with Whom to Communicate Using Relational Reinforcement Learning.

Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, H. Jaap van den Herik, Eric O. Postma

Proceedings of the Interactive Collaborative Information Systems, 2010

Efficient frequent connected subgraph mining in graphs of bounded tree-width.

Tamás Horváth, Jan Ramon

Theor. Comput. Sci., 2010

A comparison of pruning criteria for probability trees.

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Mach. Learn., 2010

Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis.

Kristien Van Loon, Fabian Güiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans

J. Medical Syst., 2010

Frequent subgraph mining in outerplanar graphs.

Tamás Horváth, Jan Ramon, Stefan Wrobel

Data Min. Knowl. Discov., 2010

Inductive Queries for a Drug Designing Robot Scientist.

Ross D. King, Amanda C. Schierz, Amanda Clare, Jem J. Rowland, Andrew Sparkes, Siegfried Nijssen, Jan Ramon

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

StReBio'09: statistical relational learning and mining in bioinformatics.

Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok

SIGKDD Explor., 2009

Deriving distance metrics from generality relations.

Luc De Raedt, Jan Ramon

Pattern Recognit. Lett., 2009

Polynomial-Delay Enumeration of Monotonic Graph Classes.

Jan Ramon, Siegfried Nijssen

J. Mach. Learn. Res., 2009

An evolutionary game-theoretic analysis of poker strategies.

Marc J. V. Ponsen, Karl Tuyls, Michael Kaisers, Jan Ramon

Entertain. Comput., 2009

Dynamic Data Analysis and Data Mining for Prediction of Clinical Stability.

Kristien Van Loon, Fabian Güiza Grandas, Geert Meyfroidt, Jean-Marie Aerts, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe, Daniel Berckmans

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009

Handling missing values and censored data in PCA of pharmacological matrices.

Jan Ramon, Fabrizio Costa

Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

Learning with whom to communicate using relational reinforcement learning.

Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens

Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.

Guy Van den Broeck, Kurt Driessens, Jan Ramon

Proceedings of the Advances in Machine Learning, 2009

2008

Generalized ordering-search for learning directed probabilistic logical models.

Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe

Mach. Learn., 2008

Learning directed probabilistic logical models: ordering-search versus structure-search.

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Ann. Math. Artif. Intell., 2008

Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth.

Tamás Horváth, Jan Ramon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Anti-monotonic Overlap-Graph Support Measures.

Toon Calders, Jan Ramon, Dries Van Dyck

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Using Decision Trees as the Answer Networks in Temporal Difference-Networks.

Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs

Proceedings of the ECAI 2008, 2008

An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules.

Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Proceedings of the Discovery Science, 11th International Conference, 2008

Active Learning for High Throughput Screening.

Kurt De Grave, Jan Ramon, Luc De Raedt

Proceedings of the Discovery Science, 11th International Conference, 2008

Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.

Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Mining data from intensive care patients.

Jan Ramon, Daan Fierens, Fabian Güiza Grandas, Geert Meyfroidt, Hendrik Blockeel, Maurice Bruynooghe, Greta Van den Berghe

Adv. Eng. Informatics, 2007

A Polynomial-time Metric for Outerplanar Graphs.

Leander Schietgat, Jan Ramon, Maurice Bruynooghe

Proceedings of the Mining and Learning with Graphs, 2007

General Graph Refinement with Polynomial Delay.

Jan Ramon, Siegfried Nijssen

Proceedings of the Mining and Learning with Graphs, 2007

Learning Directed Probabilistic Logical Models Using Ordering-Search.

Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Online Learning and Exploiting Relational Models in Reinforcement Learning.

Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Proceedings of the IJCAI 2007, 2007

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.

Jan Ramon, Kurt Driessens, Tom Croonenborghs

Proceedings of the Machine Learning: ECML 2007, 2007

On Policy Learning in Restricted Policy Spaces.

Robby Goetschalckx, Jan Ramon

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Graph kernels and Gaussian processes for relational reinforcement learning.

Kurt Driessens, Jan Ramon, Thomas Gärtner

Mach. Learn., 2006

Refining Aggregate Conditions in Relational Learning.

Celine Vens, Jan Ramon, Hendrik Blockeel

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

ReMauve: A Relational Model Tree Learner.

Celine Vens, Jan Ramon, Hendrik Blockeel

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005

Multi-agent Relational Reinforcement Learning.

Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe

Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005

A Comparison of Approaches for Learning Probability Trees.

Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe

Proceedings of the Machine Learning: ECML 2005, 2005

Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models.

Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe, Jan Ramon

Proceedings of the BNAIC 2005, 2005

2004

Compact Representation of Knowledge Bases in Inductive Logic Programming.

Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel

Mach. Learn., 2004

Condensed Representations for Inductive Logic Programming.

Luc De Raedt, Jan Ramon

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Searching for Compound Goals Using Relevancy Zones in the Game of Go.

Jan Ramon, Tom Croonenborghs

Proceedings of the Computers and Games, 4th International Conference, 2004

2003

Relational Instance Based Regression for Relational Reinforcement Learning.

Kurt Driessens, Jan Ramon

Proceedings of the Machine Learning, 2003

2002

Improving the Efficiency of Inductive Logic Programming Through the Use of Query Packs.

Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele

J. Artif. Intell. Res., 2002

Clustering and instance based learning in first order logic.

Jan Ramon

AI Commun., 2002

Compact Representation of Knowledge Bases in ILP.

Jan Struyf, Jan Ramon, Hendrik Blockeel

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001

A polynomial time computable metric between point sets.

Jan Ramon, Maurice Bruynooghe

Acta Informatica, 2001

Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner.

Kurt Driessens, Jan Ramon, Hendrik Blockeel

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering.

Jan Ramon, Luc Dehaspe

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Executing Query Packs in ILP.

Hendrik Blockeel, Luc Dehaspe, Bart Demoen, Gerda Janssens, Jan Ramon, Henk Vandecasteele

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Learning a Go Heuristic with TILDE.

Jan Ramon, Tom Francis, Hendrik Blockeel

Proceedings of the Computers and Games, Second International Conference, 2000

1999

Instance Based Function Learning.

Jan Ramon, Luc De Raedt

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.

Shan-Hwei Nienhuys-Cheng, Wim Van Laer, Jan Ramon, Luc De Raedt

Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998

A Framework for Defining Distances Between First-Order Logic Objects.

Jan Ramon, Maurice Bruynooghe

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Top-Down Induction of Clustering Trees.

Hendrik Blockeel, Luc De Raedt, Jan Ramon

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998