Articles indexed in WoS (IT)

Taghipour, N., Fierens, D., Davis, J., Blockeel, H. (2013). Lifted variable elimination: Decoupling the operators from the constraint language. The Journal of Artificial Intelligence Research, 47, 393-439.

Davis, J., Domingos, P. (2011). Deep transfer: A Markov logic approach. AI Magazine, 32 (1), 51-52.

Burnside, E., Davis, J., Chhatwal, J., Alagoz, O., Lindstrom, M., Geller, B., Littenberg, B., Shaffer, K., Kahn, C., Page, D. (2009). Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings. Radiology, 251 (3), 663-672.

Articles indexed in VABB (IT or AT)

Other international peer-reviewed articles (IT) not (yet) indexed in WoS or VABB

Lowd, D., Davis, J. (2014). Improving Markov network structure learning using decision trees. Journal of Machine Learning Research, 15, 501-532.

Other articles (AT) not (yet) indexed in VABB

Articles in international peer-reviewed professional journals (ITp)

Articles in other professional journals (ATp)

Books as author indexed in VABB (IBa or ABa)

International peer-reviewed books as author (IBa) not (yet) indexed by VABB

Other books as author (ABa) not (yet) indexed in VABB

Book chapters indexed in VABB (IHb or AHb)

Chapter in international peer-reviewed books (IHb) not (yet) indexed in VABB

Davis, J., Burnside, E., Dutra, I., Page, D., Ramakrishnan, R., Santos Costa, V., Shavlik, J. (2007). Learning a New View of a Database: With an Application to Mammography. In: Getoor L., Taskar B. (Eds.), An Introduction to Statistical Relational Learning, Chapt. 17 MIT Press, 477-498.

Chapter in other books (AHb) not (yet) indexed in VABB

Books as editor indexed in VABB (IBe or ABe)

International peer-reviewed books as editor (IBe) not (yet) indexed in VABB

Other books as editor (ABe) not (yet) indexed in VABB

Conference proceedings indexed in WoS (IC)

Davis, J., Ong, I., Struyf, J., Burnside, E., Page, D., Santos Costa, V. (2007). Change of representation for statistical relational learning. In Veloso, M. (Ed.), Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence. Hyderabad, India, January 6-12, 2007 (pp. 2719-2726).

Struyf, J., Davis, J., Page, D. (2006). An efficient approximation to lookahead in relational learners. In Fürnkranz, J. (Ed.), Scheffer, T. (Ed.), Spiliopoulou, M. (Ed.), Lecture notes in computer science: Vol. 4212. European Conference on Machine Learning. Berlin, Germany, September 18-22, 2006 (pp. 775-782) Springer.

Davis, J., Burnside, E., Dutra, I., Page, D., Ramakrishnan, R., Santos Costa, V., Shavlik, J. (2005). View Learning for Statistical Relational Learning: With an Application to Mammography. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence. Edinburgh, Scotland, July 30-August 5, 2005 (pp. 677-683) Professional Book Center.

Conference proceedings indexed in VABB (IC or AC)

Other international peer-reviewed conference proceedings (IC) not (yet) indexed in WoS or VABB

Fierens, D., Kersting, K., Davis, J., Chen, J., Mladenov, M. (2013). Pairwise Markov logic. In Rigguzi, F. (Ed.), Zelezny, F. (Ed.), Inductive Logic Programming - 22nd International Conference, Revised Selected Papers: Vol. 7842. International Conference on Inductive Logic Programming. Dubrovnik, Croatia, 17-19 September 2012 (pp. 58-73) Springer.

Taghipour, N., Fierens, D., Van den Broeck, G., Davis, J., Blockeel, H. (2013). On the completeness of lifted variable elimination. . International Workshop on Statistical Relational AI (StarAI-13). Bellevue, Washington, 15 July 2013.

Moldovan, B., Thon, I., Davis, J., De Raedt, L. (2013). MCMC estimation of conditional probabilities in probabilistic programming languages. Lecture Notes in Computer Science: Vol. 7958. ECSQARU (European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty). Utrecht, The Netherlands, 7-10 July 2013 (pp. 436 -448) Springer.

Van den Broeck, G., Meert, W., Davis, J. (2013). Lifted generative parameter learning. . Statistical Relational AI (StaRAI) workshop. Bellevue, Washington, USA, 15 July 2013.

Taghipour, N., Davis, J., Blockeel, H. (2013). Generalized counting for lifted variable elimination. In Zaverucha, G. (Ed.), Santos Costa, V. (Ed.), Online Preprints 23rd International Conference on Inductive Logic Programming. International Conference on Inductive Logic Programming (ILP). Rio de Janeiro, Brazil, 28-30 August 2013 (art.nr. 29-1425).

Taghipour, N., Davis, J., Blockeel, H. (2013). First-order decomposition trees. In Ghahramani, Z. (Ed.), Welling, M. (Ed.), Advances in Neural Information Processing Systems (26). Annual Conference on Neural Information Processing Systems (NIPS). Lake Tahoe, Nevada, USA, 5-8 December 2013 (art.nr. 5160) (pp. 1-9) Neural Information Processing Systems Foundation.

Van Haaren, J., Davis, J., Lappenschaar, M., Hommersom, A. (2013). Exploring disease interactions using Markov networks. Proceedings of the AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI. AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI. Bellevue, Washington, USA, 15 July 2013 (pp. 1-6).

Taghipour, N., Fierens, D., Van den Broeck, G., Davis, J., Blockeel, H. (2013). Completeness results for lifted variable elimination. In Carvalho, C. (Ed.), Ravikumar, P. (Ed.), Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, JMLR workshop and conference proceedings: Vol. 31. International Conference on Artificial Intelligence and Statistics (AISTATS). Scottsdale, USA, 29 April - 1 May 2013 (pp. 572–580).

Boyd, K., Santos Costa, V., Davis, J., Page, D. (2012). Unachievable region in precision-recall space and its effect on empirical evaluation. Proceedings of 29th International Conference on Machine Learning. International Conference on Machine Learning. Edinburgh, Scotland, June 26th - July 1st (pp. 1-9).

Van Haaren, J., Davis, J. (2012). Markov network structure learning: A randomized feature generation approach. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence. Toronto, Canada, 22-26 July 2012.

Taghipour, N., Fierens, D., Davis, J., Blockeel, H. (2012). Lifted variable elimination with arbitrary constraints. In Lawrence, N. (Ed.), Girolami, M. (Ed.), Proceedings of the fifteenth international conference on Artificial Intelligence and Statistics, JMLR workshop and conference proceedings: Vol. 22. International conference on artificial intelligence and statistics (AISTATS). La Palma, Canary Islands, 21-23 April 2012 (pp. 1194-1202).

Meert, W., Van den Broeck, G., Taghipour, N., Fierens, D., Blockeel, H., Davis, J., De Raedt, L. (2012). Lifted inference for probabilistic programming. Proceedings of the NIPS Probabilistic Programming Workshop. Probabilistic Programming Workshop. Lake Tahoe, 7-8 December 2012.

Ravkic, I., Ramon, J., Davis, J. (2012). Hybrid logical Bayesian networks. Late Breaking Papers proceedings of the 22nd International Conference on Inductive Logic Programming 62-67. International Conference on Inductive Logic Programming (ILP). Dubrovnik, 17-19 September 2012.

Taghipour, N., Davis, J. (2012). Generalized counting for lifted variable elimination. Proceedings of the Second International Workshop on Statistical Relational AI (StaRAI). International Workshop on Statistical Relational AI (StaRAI-12). Catalina Island, CA, USA, 18 August 2012.

Davis, J., Santos Costa, V., Peissig, P., Caldwell, M., Berg, E., Page, D. (2012). Demand-driven clustering in relational domains for predicting adverse drug events. Proceedings of 29th International Conference on Machine Learning. International Conference on Machine Learning. Edinburgh, Scotland, June 26th - July 1st (pp. 1-9).

Van den Broeck, G., Davis, J. (2012). Conditioning in first-order knowledge compilation and lifted probabilistic inference. In Hoffmann, J. (Ed.), Selman, B. (Ed.), Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence. Toronto, Canada, 22-26 July 2012 (art.nr. 794) (pp. 1-7). Palo Alto, California, USA: AAAI Press.

Van den Broeck, G., Taghipour, N., Meert, W., Davis, J., De Raedt, L. (2011). Lifted probabilistic inference by first-order knowledge compilation. In Walsh, T. (Ed.), Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI). Barcelona, Spain, 16-22 July 2011 (pp. 2178-2185). Menlo Park, California: AAAI Press/International Joint Conferences on Artificial Intelligence.

Davis, J., Berg, E., Page, D., Santos Costa, V., Peissig, P., Caldwell, M. (2011). Discovering latent structure in clinical databases. Proceedings of NIPS 2011 workshop: From Statistical Genetics to Predictive Models in Personalized Medicine. NIPS 2011 Workhop: From Statistical Genetics to Predictive Models in Personalized Medicine. Granada, Spain, December 16th, 2011 (pp. 8).

Lowd, D., Davis, J. (2010). Learning Markov network structure with decision trees. Proceedings of the 10th IEEE International Conference on Data Mining. IEEE International Conference on Data Mining. Sydney, Australia, December 14-17, 2010 (pp. 334-343) IEEE Computer Society.

Schoenmackers, S., Davis, J., Etzioni, O., Weld, D. (2010). Learning first-order Horn clauses from web text. Proceedings of the 2010 Conference on Empirical Methods on Natural Language Processing. Empirical Methods on Natural Language Processing. Boston, MA, 9-11 October 2010 (pp. 1088-1098).

Davis, J., Domingos, P. (2010). Bottom-Up Learning of Markov Network Structure. Proceedings of the 27th International Conference on Machine Learning. International Conference on Machine Learning. Haifa, Israel, June 21-24, 2010 (pp. 271-280) Omnipress.

Davis, J., Domingos, P. (2009). Deep Transfer via Second-Order Markov Logic. Proceedings of the 26th International Conference on Machine Learning. International Conference on Machine Learning. Montreal, Canada, June 14-18, 2009 (pp. 217-224) ACM Press.

Davis, J., Santos Costa, V., Ray, S., Page, D. (2007). An Integrated Approach to Feature Construction and Model Building for Drug Activity Prediction. Proceedings of the Twenty-Fourth International Conference on Machine Learning. International Conference on Machine Learning. Corvallis, OR, USA, June 20-24, 2007 (pp. 217-224) ACM Press.

Davis, J., Goadrich, M. (2006). The Relationship Between Precision-Recall and ROC Curves. Proceedings of the 23rd International Conference on Machine Learning (ICML). International Conference on Machine Learning. Pittsburgh, PA, USA, June 25-29, 2006 (pp. 233-240) ACM Press.

Burnside, E., Davis, J., Santos Costa, V., Dutra, I., Kahn, C., Fine, J., Page, D. (2005). Knowledge Discovery from Structured Mammography Reports Using Inductive Logic Programming. Proceedings of the AMIA Annual Symposium. American Medical Informatics Association, 2005 (pp. 96-100).

Davis, J., Dutra, I., Page, D., Santos Costa, V. (2005). Establishing Identity Equivalence in Multi-Relational Domains. Proceedings of the International Conference on Intelligence Analysis. Proceedings of the International Conference on Intelligence Analysis. McLean, VA, USA, May 2-6, 2005.

Davis, J., Burnside, E., Dutra, I., Page, D., Santos Costa, V. (2005). An Integrated Approach to Learning Bayesian Networks of Rules. Proceedings of the 16th European Conference on Machine Learning (16th). European Conference on Machine Learning. Porto, Portugal, October 3-7, 2005 (pp. 84-95) Springer.

Other conference proceedings (AC) not (yet) indexed in VABB

This list is generated from Lirias and contains data from Lirias as it is entered and validated by the researcher.