| The skeleton in the cognitive map: A computational and empirical exploration B Kuipers, DG Tecuci, BJ Stankiewicz Environment and behavior 35 (1), 81-106, 2003 | 173 | 2003 |
| Project halo: Towards a digital aristotle NS Friedland, PG Allen, G Matthews, M Witbrock, D Baxter, J Curtis, ... AI magazine 25 (4), 29-29, 2004 | 106 | 2004 |
| Project Halo update—progress toward digital Aristotle D Gunning, VK Chaudhri, PE Clark, K Barker, SY Chaw, M Greaves, ... AI Magazine 31 (3), 33-58, 2010 | 93 | 2010 |
| Learning by reading: A prototype system, performance baseline and lessons learned K Barker, B Agashe, SY Chaw, J Fan, N Friedland, M Glass, J Hobbs, ... AAAI 7, 280-286, 2007 | 69 | 2007 |
| A Question-Answering System for AP Chemistry: Assessing KR&R Technologies. K Barker, VK Chaudhri, SY Chaw, P Clark, J Fan, DJ Israel, S Mishra, ... KR, 488-497, 2004 | 52 | 2004 |
| A generic memory module for events DG Tecuci, BW Porter Dissertation Abstracts International 68 (09), 2007 | 50 | 2007 |
| Comparing forgetting algorithms for artificial episodic memory systems A Nuxoll, D Tecuci, WC Ho, N Wang Proc. of the Symposium on Human Memory for Artificial Agents. AISB, 14-20, 2010 | 20 | 2010 |
| Memory Based Goal Schema Recognition. D Tecuci, BW Porter FLAIRS Conference, 2009 | 15 | 2009 |
| Usi answers: Natural language question answering over (semi-) structured industry data U Waltinger, D Tecuci, M Olteanu, V Mocanu, S Sullivan Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence …, 2013 | 11 | 2013 |
| Generic episodic memory module D Tecuci University of Texas at Austin, Tech. Rep, 2005 | 9 | 2005 |
| Natural language access to enterprise data U Waltinger, D Tecuci, M Olteanu, V Mocanu, S Sullivan AI Magazine 35 (1), 38-38, 2014 | 8 | 2014 |
| An Episodic Based Approach to Complex Event Processing. D Tecuci, BW Porter AAAI Spring Symposium: Intelligent Event Processing, 86-91, 2009 | 3 | 2009 |
| Using an Episodic Memory Module for Pattern Capture and Recognition. D Tecuci, BW Porter AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection, 68-73, 2006 | 3 | 2006 |
| Meta-data approach to querying multiple biomedical ontologies RKR Palla, DG Tecuci, VD Shet, M Dejori US Patent 9,183,294, 2015 | 2 | 2015 |
| Market intelligence: linked data-driven entity resolution for customer and competitor analysis U Waltinger, D Tecuci, F Picioroaga, C Grigoras, S Sullivan International Conference on Web Engineering, 467-481, 2013 | 1 | 2013 |
| A Scalable Problem-Solver for Large Knowledge-Bases SY Chaw, K Barker, B Porter, D Tecuci, PZ Yeh 2009 21st IEEE International Conference on Tools with Artificial …, 2009 | 1 | 2009 |
| Capturing a taxonomy of failures during automatic interpretation of questions posed in natural language PZ Yeh, SY Chaw, JJ Fan, DG Tecuci Proceedings of the 4th international conference on Knowledge capture, 71-78, 2007 | 1 | 2007 |
| A general framework of the simulated annealing model for classification problems AB Dragut, DG Tecuci Proceedings of Tools for Mathematical Modelling, Sankt Petersburg, Russie, 1999 | 1 | 1999 |
| Machine learning based extraction of partition objects from electronic documents DG Tecuci, RKR Palla, HRM Nezhad, V Poon, NP Duffy, J Nipko US Patent App. 16/790,945, 2020 | | 2020 |
| Machine learning based extraction of partition objects from electronic documents DG Tecuci, RKR Palla, HRM Nezhad, V Poon, NP Duffy, J Nipko US Patent 10,614,345, 2020 | | 2020 |
Bruce PorterProfessor of Computer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
