Year |
Citation |
Score |
2019 |
Lovett A, Bridewell W, Bello P. Selection enables enhancement: An integrated model of object tracking. Journal of Vision. 19: 23. PMID 31868894 DOI: 10.1167/19.14.23 |
0.353 |
|
2019 |
Lovett A, Bridewell W, Bello P. Selection and Enhancement: Modeling Attentional Capture during Visual Search Journal of Vision. 19: 131b. DOI: 10.1167/19.10.131B |
0.314 |
|
2012 |
Todorovski L, Bridewell W, Langley P. Discovering constraints for inductive process modeling Proceedings of the National Conference On Artificial Intelligence. 1: 256-262. |
0.527 |
|
2011 |
Langley P, Bridewell W. Combining data-driven and knowledge-guided methods to induce interpretable physiological models Aaai Spring Symposium - Technical Report. 32-36. |
0.636 |
|
2010 |
Bridewell W, Langley P. Two kinds of knowledge in scientific discovery. Topics in Cognitive Science. 2: 36-52. PMID 25163620 DOI: 10.1111/J.1756-8765.2009.01050.X |
0.648 |
|
2010 |
Ashley KD, Bridewell W. Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings Artificial Intelligence and Law. 18: 311-320. DOI: 10.1007/S10506-010-9098-4 |
0.363 |
|
2010 |
Park C, Bridewell W, Langley P. Integrated systems for inducing spatio-temporal process models Proceedings of the National Conference On Artificial Intelligence. 3: 1555-1560. |
0.381 |
|
2009 |
Bridewell W, Borrett SR, Langley P. Supporting Innovative Construction of Explanatory Scientific Models Tools For Innovation. DOI: 10.1093/acprof:oso/9780195381634.003.0011 |
0.56 |
|
2008 |
Bridewell W, Langley P, Todorovski L, Džeroski S. Inductive process modeling Machine Learning. 71: 1-32. DOI: 10.1007/S10994-007-5042-6 |
0.612 |
|
2008 |
Bridewell W, Todorovski L. Learning declarative bias Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4894: 63-77. DOI: 10.1007/978-3-540-78469-2_10 |
0.321 |
|
2008 |
Bridewell W, Todorovski L. Cross-domain transfer of constraints for inductive process modeling Aaai Workshop - Technical Report. 1-6. |
0.389 |
|
2007 |
Borrett SR, Bridewell W, Langley P, Arrigo KR. A method for representing and developing process models Ecological Complexity. 4: 1-12. DOI: 10.1016/J.Ecocom.2007.02.017 |
0.642 |
|
2006 |
Bridewell W, Sánchez JN, Langley P, Billman D. An interactive environment for the modeling and discovery of scientific knowledge International Journal of Human Computer Studies. 64: 1099-1114. DOI: 10.1016/J.Ijhcs.2006.06.006 |
0.623 |
|
2006 |
Bridewell W, Langley P, Racunas S, Borrett S. Learning process models with missing data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4212: 557-565. |
0.55 |
|
2005 |
Bridewell W, Asadi NB, Langley P, Todorovski L. Reducing overfitting in process model induction Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 81-88. DOI: 10.1145/1102351.1102362 |
0.642 |
|
2005 |
Todorovski L, Bridewell W, Shiran O, Langley P. Inducing hierarchical process models in dynamic domains Proceedings of the National Conference On Artificial Intelligence. 2: 892-897. |
0.527 |
|
2001 |
Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple algorithm for identifying negated findings and diseases in discharge summaries Journal of Biomedical Informatics. 34: 301-310. PMID 12123149 DOI: 10.1006/Jbin.2001.1029 |
0.506 |
|
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