Gheorghe Tecuci
Cited by
Cited by
Machine learning: A multistrategy approach
RS Michalski, G Tecuci, JW Bala, C Baroglio, M Botta
New York: Morgan Kaufman,, 1994
Building Intelligent Agents: An Apprenticeship, Multistrategy Learning Theory, Methodology, Tool and Case Studies
G Tecuci
Morgan Kaufmann, 1998
Apprenticeship learning in imperfect domain theories
G Tecuci, Y Kodratoff
Machine learning, 514-551, 1990
Seven aspects of mixed-initiative reasoning: An introduction to this special issue on mixed-initiative assistants
G Tecuci, M Boicu, MT Cox
AI Magazine 28 (2), 11-11, 2007
DISCIPLE: a theory, methodology and system for learning expert knowledge
G Tecuci
Paris 11, 1988
Landslide susceptibility analyses using Random Forest, C4. 5, and C5. 0 with balanced and unbalanced datasets
BF Tanyu, A Abbaspour, Y Alimohammadlou, G Tecuci
Catena 203, 105355, 2021
Automating knowledge acquisition as extending, updating, and improving a knowledge base
GD Tecuci
IEEE transactions on Systems, Man, and Cybernetics 22 (6), 1444-1460, 1992
Knowledge engineering: building cognitive assistants for evidence-based reasoning
G Tecuci, D Marcu, M Boicu, DA Schum
Cambridge University Press, 2016
DISCIPLE-1: Interactive Apprentice System in Weak Theory Fields.
Y Kodratoff, G Tecuci
IJCAI 87, 271-273, 1987
Training and using Disciple agents: A case study in the military center of gravity analysis domain
G Tecuci, M Boicu, D Marcu, B Stanescu, C Boicu, J Comello
AI Magazine 23 (4), 51-51, 2002
An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course-of-Action Critiquer
G Tecuci, M Boicu, M Bowman, D Marcu
Ai Magazine 22 (2), 43-43, 2001
The Disciple–Rkf Learning and Reasoning Agent
G Tecuci, M Boicu, C Boicu, D Marcu, B Stanescu, M Barbulescu
Computational Intelligence 21 (4), 462-479, 2005
Ontology development for military applications
M Bowman, A Lopez, G Tecuci
Proceedings of the Thirty-ninth Annual ACM Southeast Conference, Athens, GA …, 2001
An Integrated Shell and Methodology for Rapid Development of Knowledge-Based Agents.
G Tecuci, M Boicu, K Wright, SW Lee, D Marcu, M Bowman
AAAI/IAAI, 250-257, 1999
Learning based on conceptual distance
Y Kodratoff, G Tecuci
IEEE Transactions on Pattern Analysis and Machine Intelligence 10 (6), 897-909, 1988
Intelligence analysis as discovery of evidence, hypotheses, and arguments: Connecting the dots
G Tecuci, DA Schum, D Marcu, M Boicu
Cambridge University Press, 2016
A multistrategy case-based and reinforcement learning approach to self-improving reactive control systems for autonomous robotic navigation
A Ram, JC Santamaria, RS Michalski, G Tecuci
Proceedings of the Second International Workshop on Multistrategy Learning …, 1993
Developing an intelligent educational agent with Disciple
G Tecuci, H Keeling
International Journal of Artificial Intelligence in Education 10 (3-4), 221-237, 1999
Disciple-LTA: Learning, tutoring and analytic assistance
G Tecuci, M Boicu, D Marcu, C Boicu, M Barbulescu
Journal of Intelligence Community Research and Development, 2008
Development and deployment of a disciple agent for center of gravity analysis
G Tecuci, M Boicu, D Marcu, B Stanescu, C Boicu, J Comello, A Lopez, ...
AAAI/IAAI, 853-861, 2002
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