Publications of Jesse Davis

period 2008 - 2013

Articles in internationally reviewed journals

3 references
  • Taghipour, Nima; Fierens, Daan; Davis, Jesse; Blockeel, Hendrik. Lifted variable elimination: Decoupling the operators from the constraint language, The Journal of Artificial Intelligence Research, 2013 (Accepted) PDF BibTeX
  • Davis, Jesse; Domingos, Pedro. Deep transfer: A Markov logic approach, AI Magazine, volume 32, issue 1, pages 51-52, 2011 PDF BibTeX
  • Burnside, Elizabeth; Davis, Jesse; Chhatwal, Jagpreet; Alagoz, Oguzhan; Lindstrom, Mary; Geller, Berta; Littenberg, Benjamin; Shaffer, Katherine; Kahn, Charles; Page, David. Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings, Radiology, volume 251, issue 3, pages 663-672, 2009 BibTeX

Top

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

18 references
  • Fierens, Daan; Kersting, Kristian; Davis, Jesse; Chen, Jian; Mladenov, Martin. Pairwise Markov logic, Rigguzi, Fabrizio; Zelezny, Filip (eds.), International Conference on Inductive Logic Programming, Dubrovnik, Croatia, 17-19 September 2012, Postproceedings of the 22nd International Conference on Inductive Logic Programming, Springer, 2013 (Accepted) PDF BibTeX
  • Taghipour, Nima; Fierens, Daan; Van den Broeck, Guy; Davis, Jesse; Blockeel, Hendrik. Completeness results for lifted variable elimination, Carvalho, Carlos M.; Ravikumar, Pradeep (eds.), International Conference on Artificial Intelligence and Statistics (AISTATS), Scottsdale, USA, 29 April - 1 May 2013, Proceedings of the 16th International Conference on Artificial Intelligence and Statistics, JMLR Workshop and Conference Proceedings, volume 31, JMLR Workshop and Conference Proceedings (Accepted) PDF PDF BibTeX
  • Van den Broeck, Guy; Meert, Wannes; Davis, Jesse. Lifted generative parameter learning, Statistical Relational AI (StaRAI) workshop, Bellevue, Washington, USA, 15 July 2013 (Accepted) PDF BibTeX
  • Van Haaren, Jan; Davis, Jesse; Lappenschaar, Martijn; Hommersom, Arjen. Exploring disease interactions using Markov networks, AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI, Bellevue, Washington, USA, 15 July 2013 (Accepted) PDF BibTeX
  • Boyd, Kendrick; Santos Costa, Vitor; Davis, Jesse; Page, David. Unachievable region in precision-recall space and its effect on empirical evaluation, International Conference on Machine Learning, Edinburgh, Scotland, June 26th - July 1st, Proceedings of 29th International Conference on Machine Learning, pages 1-9, 2012 PDF PDF BibTeX
  • Davis, Jesse; Santos Costa, Vitor; Peissig, Peggy; Caldwell, Michael; Berg, Elizabeth; Page, David. Demand-driven clustering in relational domains for predicting adverse drug events, International Conference on Machine Learning, Edinburgh, Scotland, June 26th - July 1st, Proceedings of 29th International Conference on Machine Learning, pages 1-9, 2012 PDF BibTeX
  • Meert, Wannes; Van den Broeck, Guy; Taghipour, Nima; Fierens, Daan; Blockeel, Hendrik; Davis, Jesse; De Raedt, Luc. Lifted inference for probabilistic programming, Probabilistic Programming Workshop, Lake Tahoe, 7-8 December 2012, Proceedings of the NIPS Probabilistic Programming Workshop 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
  • Taghipour, Nima; Davis, Jesse. Generalized counting for lifted variable elimination, International Workshop on Statistical Relational AI (StaRAI-12), Catalina Island, CA, USA, 18 August 2012, Proceedings of the Second International Workshop on Statistical Relational AI (StaRAI) PDF BibTeX
  • Taghipour, Nima; Fierens, Daan; Davis, Jesse; Blockeel, Hendrik. Lifted variable elimination with arbitrary constraints, International conference on artificial intelligence and statistics (AISTATS), La Palma, Canary Islands, 21-23 April 2012, Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, JMLR Workshop and Conference Proceedings, volume 22, pages 1194-1202, JMLR workshop and conference proceedings PDF BibTeX
  • Van den Broeck, Guy; Davis, Jesse. Conditioning in first-order knowledge compilation and lifted probabilistic inference, Hoffmann, Joerg; Selman, Bart (eds.), AAAI Conference on Artificial Intelligence, Toronto, Canada, 22-26 July 2012, Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, pages 1-7, AAAI Press PDF PDF PDF BibTeX
  • Van Haaren, Jan; Davis, Jesse. Markov network structure learning: A randomized feature generation approach, AAAI Conference on Artificial Intelligence, Toronto, Canada, 22-26 July 2012, Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence PDF PDF PDF BibTeX
  • Davis, Jesse; Berg, Elizabeth; Page, David; Santos Costa, Vitor; Peissig, Peggy; Caldwell, Michael. Discovering latent structure in clinical databases, NIPS 2011 Workhop: From Statistical Genetics to Predictive Models in Personalized Medicine, Granada, Spain, December 16th, 2011, Proceedings of NIPS 2011 Workshop: From Statistical Genetics to Predictive Models in Personalized Medicine, 8 pages PDF BibTeX
  • Van den Broeck, Guy; Taghipour, Nima; Meert, Wannes; Davis, Jesse; De Raedt, Luc. Lifted probabilistic inference by first-order knowledge compilation, Walsh, Toby (ed.), International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, pages 2178-2185, AAAI Press/International Joint Conferences on Artificial Intelligence PDF PDF PDF BibTeX
  • Davis, Jesse; Domingos, Pedro. Bottom-Up Learning of Markov Network Structure, International Conference on Machine Learning, Haifa, Israel, June 21-24, 2010, Proceedings of the 27th International Conference on Machine Learning, pages 271-280, Omnipress PDF BibTeX
  • Lowd, Daniel; Davis, Jesse. Learning Markov network structure with decision trees, IEEE International Conference on Data Mining, Sydney, Australia, December 14-17, 2010, Proceedings of the 10th IEEE International Conference on Data Mining, pages 334-343, IEEE Computer Society DOI PDF BibTeX
  • Schoenmackers, Stefan; Davis, Jesse; Etzioni, Oren; Weld, Daniel. Learning first-order Horn clauses from web text, Empirical Methods on Natural Language Processing, Boston, MA, 9-11 October 2010, Proceedings of the 2010 Conference on Empirical Methods on Natural Language Processing, pages 1088-1098 PDF BibTeX
  • Davis, Jesse; Domingos, Pedro. Deep Transfer via Second-Order Markov Logic, International Conference on Machine Learning, Montreal, Canada, June 14-18, 2009, Proceedings of the 26th International Conference on Machine Learning, pages 217-224, ACM Press PDF BibTeX

Top

Meeting abstracts, presented at international conferences and symposia

6 references
  • Blockeel, Hendrik; Davis, Jesse; De Raedt, Luc; Fierens, Daan; Meert, Wannes; Taghipour, Nima; Van den Broeck, Guy. Recent advances in lifted inference at Leuven, Spring Workshop on Mining and Learning, Bad Neuenahr, Germany, 18-20 April 2012 PDF PDF PDF BibTeX
  • Taghipour, Nima; Fierens, Daan; Davis, Jesse; Blockeel, Hendrik. Lifted variable elimination with arbitrary constraints, Benelux Conference on Artificial Intelligence (BNAIC), Maastricht, Netherlands, 25-26 October 2012, Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC 2012) PDF BibTeX
  • Verbeke, Mathias; Davis, Jesse. A text mining approach as baseline for QA4MRE'12, Conference and Labs of the Evaluation Forum (CLEF), Rome, Italy, 17-20 September 2012 PDF PDF BibTeX
  • Mertens, Marc; Croonenborghs, Tom; Milisen, Koen; Devriendt, Els; Tournoy, Jos; Davis, Jesse; Vanrumste, Bart. Classification of Electrical Appliances as Tool for Monitoring Activities of Daily Living, Annual IEEE EMBS Benelux Symposium, Leuven and Brussels, Belgium, 1-2 December 2011, Proceedings of the Annual IEEE EMBS Benelux Symposium, page1 PDF BibTeX
  • Mertens, Marc; Debard, Glen; Van den Bergh, Jonas; Goedemé, Toon; Milisen, Koen; Tournoy, Jos; Davis, Jesse; Croonenborghs, Tom; Vanrumste, Bart. Towards automatic monitoring of activities using contactless sensors, Annual Belgian Dutch Conference on Machine learning, The Hague, Netherlands, 20 May 2011, Proceedings of the 20th Annual Belgian Dutch Conference on Machine Learning, pages 121-122 PDF BibTeX
  • Van den Broeck, Guy; Taghipour, Nima; Meert, Wannes; Davis, Jesse; De Raedt, Luc. Lifted probabilistic inference by first-order knowledge compilation, IJCAI Tutorial on Lifted Inference in Probabilistic Logical Models, Barcelona, Spain, 18 July 2011 PDF BibTeX

Top

Thesis

1 reference
  • Taghipour, Nima. Lifted Probabilistic Inference by Variable Elimination , PhD thesis, Informatics Section, Department of Computer Science, Faculty of Engineering Science, March 2013, xvii + 251 pages, isbn: 978-946-018-646-2, Blockeel, Hendrik and Davis, Jesse (supervisors) (Accepted) intranet BibTeX

Top

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
  • Books, internationally recognised scientific publisher; as editor
  • Other published books; as editor
  • Article in book, internationally recognised scientific publisher
  • Article in other published book
  • Papers at other conferences and symposia, published in full in proceedings
  • Meeting abstracts, presented at other conferences and symposia
  • Review
  • Internal reports
  • Translation without scientific introduction
  • Scientific popularisation
  • Misc.
  • External reports
 
Last update local database Sun May 19 2013 0:18 am; It contains 38 publications of Jesse Davis.

Other lists

Browse by year

Browse by selection

Select pubtype and period. Then click


______________________________
pubtype
Select [all] [none] ______________________________ ______________________________
period
From - Till:

____________________________

Choose
mixed types
not mixed types

____________________________

Give
separate years
or not separate years

____________________________

Bibtexs of this page

A