Publications of Jan Ramon

period 2008 - 2013

Articles in internationally reviewed journals

16 references
  • Fannes, Thomas; Vandermarliere, Elien; Schietgat, Leander; Degroeve, Sven; Martens, Lennart; Ramon, Jan. Predicting tryptic cleavage from proteomics data using decision tree ensembles, Journal of Proteome Research, 2013 DOI PDF PDF PDF BibTeX
  • Schietgat, Leander; Ramon, Jan; Bruynooghe, Maurice. A polynomial-time maximum common subgraph algorithm for outerplanar graphs and its application to chemoinformatics, Annals of Mathematics and Artificial Intelligence, 2013 (Accepted) PDF BibTeX
  • Calders, Toon; Ramon, Jan; Van Dyck, Dries. All normalized anti-monotonic overlap graph measures are bounded, Data Mining and Knowledge Discovery, volume 23, issue 3, pages 503-548, 2011 DOI PDF BibTeX
  • Cano Odena, Angels; Spilliers, M.; Dedroog, Tom; De Grave, Kurt; Ramon, Jan; Vankelecom, Ivo. Optimization of cellulose acetate nanofiltration membranes for micropollutant removal via genetic algorithms and high throughput experimentation, Journal of Membrane Science, volume 366, issue 1-2, pages 25-32, 2011 DOI PDF PDF BibTeX
  • Meyfroidt, Geert; Guiza Grandas, Fabian; Cottem, Dominiek; De Becker, Wilfried; Van Loon, Kristien; Aerts, Jean-Marie; Berckmans, Daniel; Ramon, Jan; Bruynooghe, Maurice; Van den Berghe, Greet. Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model, BMC Medical Informatics and Decision Making, volume 11, issue 64, pages 1-13, 2011 DOI PDF BibTeX
  • Schietgat, Leander; Costa, Fabrizio; Ramon, Jan; De Raedt, Luc. Effective feature construction by maximum common subgraph sampling, Machine Learning, volume 83, issue 2, pages 137-161, 2011 DOI PDF BibTeX
  • Fierens, Daan; Ramon, Jan; Blockeel, Hendrik; Bruynooghe, Maurice. A comparison of pruning criteria for probability trees, Machine Learning, volume 78, issue 1-2, pages 251-285, 2010 DOI PDF BibTeX
  • Horvath, Tamas; Ramon, Jan. Efficient frequent connected subgraph mining in graphs of bounded treewidth, Theoretical Computer Science, volume 411, pages 2784-2797, 2010 DOI PDF BibTeX
  • Horvath, Tamas; Ramon, Jan; Wrobel, Stefan. Frequent subgraph mining in outerplanar graphs, Data Mining and Knowledge Discovery, volume 21, issue 3, pages 472-508, 2010 DOI PDF BibTeX
  • Van Loon, Kristien; Guiza Grandas, Fabian; Meyfroidt, Geert; Aerts, Jean-Marie; Ramon, Jan; Blockeel, Hendrik; Bruynooghe, Maurice; Van den Berghe, Greet; Berckmans, Daniel. Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis, Journal of Medical Systems, volume 34, issue 3, pages 229-239, 2010 DOI PDF BibTeX
  • De Raedt, Luc; Ramon, Jan. Deriving distance metrics from generality relations, Pattern Recognition Letters, volume 30, issue 3, pages 187-191, 2009 DOI PDF BibTeX
  • Meyfroidt, Geert; Guiza Grandas, Fabian; Ramon, Jan; Bruynooghe, Maurice. Machine learning techniques to examine large patient databases, Baillière's Best Practice & Research. Clinical Anaesthesiology, volume 23, issue 1, pages 127-143, 2009 DOI PDF BibTeX
  • Ramon, Jan; Nijssen, Siegfried. Polynomial-delay enumeration of monotonic graph classes, Journal of Machine Learning Research, volume 10, pages 907-929, 2009 DOI PDF BibTeX
  • Fierens, Daan; Ramon, Jan; Bruynooghe, Maurice; Blockeel, Hendrik. Learning directed probabilistic logical models: Ordering-search versus structure-search, Annals of Mathematics and Artificial Intelligence, volume 54, issue 1-3, pages 99-133, 2008 DOI PDF BibTeX
  • Form, Nicholas T.; Burbidge, Robert; Ramon, Jan; Whitaker, Benjamin J.. Parameterisation of an acousto-optic programmable dispersive filter for closed-loop learning experiments, Journal of Modern Optics, volume 55, issue 1, pages 197-209, 2008 DOI PDF BibTeX
  • Ramon, Jan; Croonenborghs, Tom; Fierens, Daan; Blockeel, Hendrik; Bruynooghe, Maurice. Generalized ordering-search for learning directed probabilistic logical models, Machine Learning, volume 70, issue 2-3, pages 169-188, 2008 DOI PDF BibTeX

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Books, internationally recognised scientific publisher; as editor

3 references

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Other published books; as editor

1 reference

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Article in book, internationally recognised scientific publisher

3 references
  • Ramon, Jan. Graph mining, Dubitzky, Werner; Wolkenhauer, Olaf; Cho, Kwang-Hyun; Yokota, Hiroki (eds.), Springer, 2011 (Accepted) PDF BibTeX
  • King, Ross D.; Schierz, Amanda; Clare, Amanda; Rowland, Jem; Sparkes, Andrew; Nijssen, Siegfried; Ramon, Jan. Inductive queries for a drug designing robot scientist, Dzeroski, Saso; Goethals, Bart; Panov, Pance (eds.), Springer, 2010 DOI PDF BibTeX
  • Ponsen, Marc; Croonenborghs, Tom; Tuyls, Karl; Ramon, Jan; Driessens, Kurt; Van den Herik, Jaap. Learning with whom to communicate using relational reinforcement learning, Babuska, Robert; Groen, Frans (eds.), Springer, 2010 DOI PDF BibTeX

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Papers at international conferences and symposia, published in full in proceedings

24 references
  • Andrews, Tara; Blockeel, Hendrik; Bogaerts, Bart; Bruynooghe, Maurice; Denecker, Marc; De Pooter, Stef; Macé, Caroline; Ramon, Jan. Analyzing manuscript traditions using constraint-based data mining, First Workshop on Combining Constraint Solving with Mining and Learning, Montpellier, France, 27 August 2012, ECAI 2012 : 20th European Conference or Artificial Intelligence, S.n. PDF BibTeX
  • Blockeel, Hendrik; Bogaerts, Bart; Bruynooghe, Maurice; De Cat, Broes; De Pooter, Stef; Denecker, Marc; Labarre, Anthony; Ramon, Jan; Verwer, Sicco. Modeling Machine Learning and Data Mining Problems with FO(·), Dovier, Agostino; Santos Costa, Vítor (eds.), International Conference on Logic Programming, Budapest, September 4-8, 2012, Proceedings of the 28th International Conference on Logic Programming - Technical Communications (ICLP'12), pages 14 -25, Schloss Daghstuhl - Leibniz-Zentrum fuer Informatik DOI PDF BibTeX
  • Kibriya, Ashraf; Ramon, Jan. Nearly exact mining of frequent trees in large networks, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK,, September 24-28, 2012, Lecture Notes in Computer Science, volume 7523, pages 426-441, Springer DOI PDF PDF PDF BibTeX
  • Ramon, Jan; Comendant, Constantin. Open problem: Learning dynamic network models from a static snapshot, Mannor, Shie; Srebro, Nathan; Williamson, Robert C (eds.), Annual Conference on Learning Theory, Edinburgh, 25-27 June 2012, Proceedings of the 25th Annual Conference on Learning Theory, volume 23, pages 45.1-45.3, JMLR Workshop and Conference Proceedings PDF BibTeX
  • Ravkic, Irma; Ramon, Jan; Davis, Jesse. Hybrid logical Bayesian networks, International Conference on Inductive Logic Programming (ILP), Dubrovnik, 17-19 September 2012, Late Breaking Papers Proceedings of the 22nd International Conference on Inductive Logic Programming 62-67 PDF BibTeX
  • Wang, Yuyi; Ramon, Jan. An efficiently computable support measure for frequent subgraph pattern mining, Flach, Peter A.; De Bie, Tijl; Cristianini, Nello (eds.), ECML PKDD, Bristol, UK, 24-28 September 2012, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, pages 362-377 DOI PDF BibTeX
  • Ramon, Jan; Roy, Samrat; Jonny, Daenen. Efficient homomorphism-free enumeration of conjunctive queries, International Conference on Inductive Logic Programming (ILP),, Cumberland Lodge, Windsor Great Park, United Kingdom, 31 July - 3 August 2011, Preliminary Papers ILP 2011, 6 pages PDF BibTeX
  • Costa Florencio, Cristovao; Ramon, Jan; Daenen, Jonny; Van den Bussche, Jan; Van Dyck, Dries. Graph grammars as language bias in graph mining, Blockeel, Hendrik; Borgwardt, Karsten; Yan, Xifeng (eds.), International Workshop on Mining and Learning with Graphs, Leuven, Belgium, 2-4 July 2009, 7th International Workshop on Mining and Learning with Graphs, Extended Abstracts, pages 1-3 PDF BibTeX
  • Ponsen, Marc; Croonenborghs, Tom; Tuyls, Karl; Ramon, Jan; Driessens, Kurt. Learning with whom to communicate using relational reinforcement learning, Sierra, Carles; Castelfranchi, Cristiano; Decker, Keith; Sichman, Jaime (eds.), International Conference on Autonomous Agents and Multi-Agent Systems, Budapest, Hungary, 10-15 May 2009, AAMAS '09: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems- Volume 2, pages 1221-1222, International Foundation for Autonomous Agents and Multiagent Systems PDF BibTeX
  • Schietgat, Leander; Costa, Fabrizio; Ramon, Jan; De Raedt, Luc. Maximum common subgraph mining: A fast and effective approach towards feature generation, Blockeel, Hendrik; Borgwardt, Karsten; Yan, Xifeng (eds.), International Workshop on Mining and Learning with Graphs, Leuven, Belgium, 2-4 July 2009, 7th International Workshop on Mining and Learning with Graphs, Leuven, Belgium, July 2-4, 2009, Extended Abstracts, pages 1-3 PDF BibTeX
  • Van den Broeck, Guy; Driessens, Kurt; Ramon, Jan. Monte-Carlo tree search in poker using expected reward distributions, Asian Conference on Machine Learning (ACML), Nanjing, China, 2-4 November 2009, Lecture Notes in Computer Science, volume 5828, pages 367-381, Springer DOI PDF PDF BibTeX
  • Van Loon, Kristien; Guiza Grandas, Fabian; Meyfroidt, Geert; Aerts, Jean-Marie; Ramon, Jan; Blockeel, Hendrik; Bruynooghe, Maurice; Van den Berghe, Greet; Berckmans, Daniel. Dynamic data analysis and data mining for prediction of clinical stability, 22th Medical Informatics Europe, Sarajevo, Bosnia&Herzegovina, 30 august - 2 september 2009, Studies in Health Technology and Informatics, volume 150, pages 590-594, I O S Press PDF BibTeX
  • Antanas, Laura; Driessens, Kurt; Croonenborghs, Tom; Ramon, Jan. Using decision trees as the answer network in temporal-difference networks, European Conference on Artificial Intelligence, Patras, Greece, 21-25 July 2008, Proceedings of the 18th European Conference on Artificial Intelligence, pages 847-848 DOI PDF BibTeX
  • Calders, Toon; Ramon, Jan; Van Dyck, Dries. Anti-monotonic overlap-graph support measures, IEEE International Conference on Data Mining, Pisa, Italy, 15-19 December 2008, Proceedings of the IEEE International Conference on Data Mining, pages 73-82 DOI PDF BibTeX
  • Calders, Toon; Ramon, Jan; Van Dyck, Dries. Min, max and PTime anti-monotonic overlap graph measures, Kaski, Samuel; Wrobel, Stefan (eds.), International Workshop on Mining and Learning with Graphs, Helsinki, 4-5 July 2008, Proceedings of the 6th International Workshop on Mining and Learning with Graphs, pages 1-3 PDF BibTeX
  • De Grave, Kurt; Ramon, Jan; De Raedt, Luc. Active learning for high throughput screening, Discovery Science, Budapest, Hungary, 13-16 October 2008, Lecture Notes in Computer Science, volume 5255, pages 185-196, Springer DOI PDF PDF BibTeX
  • De Grave, Kurt; Ramon, Jan; De Raedt, Luc. Active learning for primary drug screening, Benelearn, Spa, Belgium, 19-20 May 2008, Benelearn 08, The Annual Belgian-Dutch Machine Learning Conference, volume 2008, pages 55-56 PDF BibTeX
  • Fierens, Daan; Ramon, Jan; Bruynooghe, Maurice; Blockeel, Hendrik. Learning directed probabilistic logical models using ordering-search, International Conference on Inductive Logic Programming, Corvallis, USA, 19-21 June 2007, Lecture Notes in Computer Science, volume 4894, page24, Springer, 2008 DOI PDF BibTeX
  • Horvath, Tamas; Ramon, Jan. Efficient frequent connected subgraph mining in graphs of bounded treewidth, Principles and Practice of Knowledge Discovery in Databases, Antwerp, Belgium, 15 - 19 September 2008, Lecture Notes in Computer Science, volume 5211, pages 520-535, Springer DOI PDF BibTeX
  • Ponsen, Marc; Ramon, Jan; Croonenborghs, Tom; Driessens, Kurt; Tuyls, Karl. Bayes-relational opponent modeling in poker, Wehenkel, Louis; Geurts, Pierre; Maree, Raphael (eds.), Belgian-Dutch Conference on Machine Learning, 19-20 May 2008, Proceedings of the Annual Belgian-Dutch Conference on Machine Learning, pages 1-2 PDF BibTeX
  • Ponsen, Marc; Ramon, Jan; Croonenborghs, Tom; Driessens, Kurt; Tuyls, Karl. Bayes-relational learning of opponent models from incomplete information in no-limit poker, Fox, Dieter; Gomes, Carla (eds.), AAAI, Chicago, Illinois, July 13–17, 2008, Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, pages 1485-1487, AAAI press PDF ZIP BibTeX
  • Ponsen, Marc; Tuyls, Karl; Dejong, Steven; Ramon, Jan; Croonenborghs, Tom; Driessens, Kurt. The dynamics of human behaviour in poker, Pantic, Maya; Nijholt, Anton (eds.), Belgian-Dutch Conference on Artificial Intelligence, 30-31 October 2008, Proceedings of the 20th Belgian-Dutch Conference on Artificial Intelligence, pages 225-232, Universiteit Twente PDF BibTeX
  • Schietgat, Leander; Ramon, Jan; Bruynooghe, Maurice; Blockeel, Hendrik. An efficiently computable graph-based metric for the classification of small molecules, International Conference on Discovery Science, Budapest, Hungary, 13-16 October 2008, Lecture Notes in Computer Science, volume 5255, pages 197-209, Springer DOI PDF BibTeX
  • Schietgat, Leander; Theys, Kristof; Ramon, Jan; Blockeel, Hendrik; Vandamme, Annemie. Distinguishing epidemiological dependent from treatment (resistance) dependent HIV mutations: problem statement, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Antwerp, 15-19 September 2008, Proceedings of the 1st International Workshop on Statistical and Relational Learning in Bioinformatics, pages 1-8 PDF BibTeX

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Meeting abstracts, presented at international conferences and symposia

17 references
  • Ramon, Jan. Network mining for crime/fraud detection, FuturICT crime and corruption observatory kick-off meeting, FuturICT Crime and Corruption Observatory Kick-off Meeting, 2012 PDF BibTeX
  • Van Eyck, Jelle; Ramon, Jan; Guiza Grandas, Fabian; Meyfroidt, Geert; Bruynooghe, Maurice; Van den Berghe, Greet. Data mining techniques for predicting acute kidney injury after elective cardiac surgery, International Symposium on Intensive Care and Emergency Medicine, Brussels, 20-23 March 2012 (Accepted) PDF BibTeX
  • Van Eyck, Jelle; Ramon, Jan; Guiza Grandas, Fabian; Meyfroidt, Geert; Bruynooghe, Maurice; Van den Berghe, Greet. Data mining techniques for predicting acute kidney injury after elective cardiac surgery, LSD, Leuven, 7-8 June 2012 PDF BibTeX
  • Fannes, Thomas; Ramon, Jan. Learning from plane graphs, Mining And Learning with Graphs, San Diego, 20-21 august 2011, ACM MLG PDF PDF BibTeX
  • Ramon, Jan. Graph mining for QSAR (Invited talk), Journées Nationales de Chémoinformatique, Cabourg, France, 13-14 october 2011, volume Proceedings of the 5 PDF BibTeX
  • Schietgat, Leander; Fannes, Thomas; Ramon, Jan. Predicting protein function with the relative backbone position kernel, Journées Nationales de Chémoinformatique, Cabourg, France, 13-14 October 2011, Proceedings of the 5ièmes Journées Nationales de Chémoinformatique, page51 PDF BibTeX
  • Schietgat, Leander; Poezevara, Guillaume; Bissell-Siders, Ryan; Bureau, Ronan; Crémilleux, Bruno; Lepailleur, Alban; Halm, Marie-Pierre; Ramon, Jan; Cuissart, Bertrand. New measures of interest associated to chemical patterns: definition, implementation and experimental assessment, Journées Nationales de Chémoinformatique, Cabourg, France, 13-14 October 2011, Proceedings of the 5ièmes Journées Nationales de Chémoinformatique, page14 PDF BibTeX
  • Van Eyck, Jelle; Ramon, Jan; Guiza Grandas, Fabian; Meyfroidt, Geert; Bruynooghe, Maurice; Van den Berghe, Greet. Predicting tacrolimus blood concentrations in the ICU, International Conference on Complexity in Acute Illness, Bonn, Germany, 9-11 September 2011 PDF BibTeX
  • Horvath, Tamas; Ramon, Jan. Efficient frequent connected subgraph mining in graphs of bounded tree-width, Atzmüller, Martin; Benz, Dominik (eds.), Workshop on knowledge discovery, data mining and machine learning (KDML), Kassel, Germany, 4-6 october 2010, Workshop on Knowledge Discovery, Data Mining and Machine Learning PDF BibTeX
  • Ramon, Jan. Mining patient records, with applications in intensive care, Summer school on Computational Intelligence In Health Care, Eindhoven, The Netherlands, 23 September 2010, Summer School on Computational Intelligence In Health Care PDF BibTeX
  • Ramon, Jan; Haghir Chehreghani, Mostafa. On the complexity of listing closed frequent subgraph patterns, Manoussakis, Yannis (ed.), French Conference on Combinatorics, Paris, France, 28 June 2010 - 2 july 2010, Proceedings of the 8th French Conference on Combinatorics, page1 PDF BibTeX
  • Schietgat, Leander; Aryal, Sunil; Ramon, Jan. Predicting protein function with the relative backbone position kernel, European Conference on Computational Biology, Gent, 26-29 September 2010 PDF BibTeX
  • Ramon, Jan. Efficient search in molecular graph space to recognize mass spectra, Wehenkel, Louis (ed.), Benelux Bioinformatics Conference, Liege, Belgium, 14-15 December 2009, Proceedings of the Fifth Benelux Bioinformatics Conference, page1 BibTeX
  • Van den Broeck, Guy; Driessens, Kurt; Ramon, Jan. Monte-Carlo tree search in poker using expected reward distributions, Calders, Toon; Tuyls, Karl; Pechenizkiy, Mykola (eds.), Benelux Conference on Artificial Intelligence (BNAIC), Eindhoven, the Netherlands, 29-30 October 2009, Proceedings of the 21st Benelux Conference on Artificial Intelligence PDF BibTeX
  • Antanas, Laura; Driessens, Kurt; Ramon, Jan; Croonenborghs, Tom. Using decision trees as the answer networks in temporal difference-networks, European Workshop on Reinforcement Learning, Villeneuve d'Ascq, France, 30 June -4 July 2008 PDF BibTeX
  • Cano Odena, Angels; Vandezande, Pieter; Cools, Isabelle; Vanderschoot, Kris; De Grave, Kurt; Ramon, Jan; De Raedt, Luc; Vankelecom, Ivo. Comparison of multi-parameter optimization strategies for the development of nanofiltration membranes for salt and micropollutants removal, International Congress on Membranes and Membrane Processes, Honolulu, Hawaii, 12-18 July 2008, ICOM 2008 Oral Presentation Proceedings, pages 368-370 DOC BibTeX
  • De Grave, Kurt; Ramon, Jan; De Raedt, Luc. Active learning for primary drug screens, Spring Workshop on Mining and Learning, Traben-trarbach, Germany, 21-25 April 2008 PDF BibTeX

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Meeting abstracts, presented at other conferences and symposia

2 references
  • Fannes, Thomas; Vandermarliere, Elien; Schietgat, Leander; Martens, Lennart; Ramon, Jan. Predicting trypsin cleavage sites based on sequence information, Belgian Proteomics, Ghent, 29-30 november 2012 PDF 3/bepac12_poster.odp BibTeX
  • Ramon, Jan. Data mining techniques for computational medicine, LICT symposium on computational medicine, LICT Symposium on Computational Medicine, 2011 PDF BibTeX

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Thesis

1 reference

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Misc.

3 references
  • Kibriya, Ashraf Masood. with contribution of Ramon, Jan., Mining in single networks, Spring Workshop on Mining and Learning (SML), Prüm, Germany, 29-31 March 2011 PDF BibTeX
  • Ramon, Jan; Costa, Fabrizio; Costa Florencio, Christophe; Kok, Joost. Machine learning for bioinformatics, preface to the special issue, Fundamenta Informaticae, volume 113, issue 2, pages i-ii, 2011 DOI PDF BibTeX
  • Ramon, Jan; Costa, Fabrizio; Costa Florencio, Cristovao. StReBio'09: Statistical Relational Learning and Mining in Bioinformatics, SIGKDD Explorations: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, volume 11, issue 2, pages 88-89, December 2009 PDF BibTeX

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No publications found for the period 2008-2013 and the types

  • Articles in other journals
  • Books, internationally recognised scientific publisher; as author
  • Other published books; as author
  • Article in other published book
  • Papers at other conferences and symposia, published in full in proceedings
  • Review
  • Internal reports
  • Translation without scientific introduction
  • Scientific popularisation
  • External reports
 
Last update local database Sun May 19 2013 0:18 am; It contains 189 publications of Jan Ramon.

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