| Year |
Citation |
Score |
| 2013 |
Banerjee B, Chandrasekaran B. A framework of Voronoi diagram for planning multiple paths in free space Journal of Experimental and Theoretical Artificial Intelligence. 25: 457-475. DOI: 10.1080/0952813X.2012.741625 |
0.528 |
|
| 2011 |
Chandrasekaran B, Banerjee B, Kurup U, Lele O. Augmenting cognitive architectures to support diagrammatic imagination. Topics in Cognitive Science. 3: 760-77. PMID 25164509 DOI: 10.1111/J.1756-8765.2011.01156.X |
0.572 |
|
| 2010 |
Banerjee B, Chandrasekaran B. A constraint satisfaction framework for executing perceptions and actions in diagrammatic reasoning Journal of Artificial Intelligence Research. 39: 373-427. DOI: 10.1613/Jair.3069 |
0.615 |
|
| 2010 |
Banerjee B, Chandrasekaran B. A spatial search framework for executing perceptions and actions in diagrammatic reasoning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6170: 144-159. DOI: 10.1007/978-3-642-14600-8_15 |
0.498 |
|
| 2010 |
Banerjee B, Chandrasekaran B. A Constraint Satisfaction Framework for Visual Problem Solving Trends in Constraint Programming. 383-393. DOI: 10.1002/9780470612309.ch26 |
0.523 |
|
| 2009 |
Chandrasekaran B. Problem solving methods and knowledge systems: A personal journey to perceptual images as knowledge Artificial Intelligence For Engineering Design, Analysis and Manufacturing: Aiedam. 23: 331-338. DOI: 10.1017/S0890060409990035 |
0.419 |
|
| 2007 |
Banerjee B, Chandrasekaran B. Representations and strategies for solving spatial problems with diagrams Proceedings - Ieee Symposium On Visual Languages and Human-Centric Computing, Vl/Hcc 2007. 183-186. DOI: 10.1109/VLHCC.2007.46 |
0.529 |
|
| 2006 |
Banerjee B, Chandrasekaran B. Synthesizing visual and action routines using constraint programming Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4045: 196-198. DOI: 10.1007/11783183_26 |
0.456 |
|
| 2004 |
Banerjee B, Chandrasekaran B. Constructing diagrams representing group motions Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2980: 376-378. DOI: 10.1007/978-3-540-25931-2_43 |
0.517 |
|
| 2004 |
Chandrasekaran B, Kurup U, Banerjee B, Josephson JR, Winkler R. An architecture for problem solving with diagrams Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2980: 151-165. DOI: 10.1007/978-3-540-25931-2_16 |
0.6 |
|
| 2000 |
Chandrasekaran B, Josephson JR. Function in device representation Engineering With Computers. 16: 162-177. DOI: 10.1007/S003660070003 |
0.331 |
|
| 1999 |
Chandrasekaran B, Josephson JR, Benjamins VR. What aro ontologies, and why do we need them? Ieee Intelligent Systems and Their Applications. 14: 20-26. DOI: 10.1109/5254.747902 |
0.343 |
|
| 1995 |
Iwasaki Y, Vescovi M, Fikes R, Chandrasekaran B. Causal functional representation language with behavior-based semantics Applied Artificial Intelligence. 9: 5-31. DOI: 10.1080/08839519508945465 |
0.318 |
|
| 1994 |
Chandrasekaran B. Functional Representation and Causal Processes Advances in Computers. 38: 73-143. DOI: 10.1016/S0065-2458(08)60176-X |
0.325 |
|
| 1993 |
Chandrasekaran B, Narayanan NH, Iwasaki Y. Reasoning with Diagrammatic Representations: A Report on the Spring Symposium Ai Magazine. 14: 49-56. DOI: 10.1609/Aimag.V14I2.1046 |
0.367 |
|
| 1991 |
Goel AK, Bylander T, Chandrasekaran B, Dietterich TG, Keller RM, Tong C. Knowledge Compilation: A Symposium The Missouri Review. 71-93. DOI: 10.1109/Mis.1991.10006 |
0.304 |
|
| 1991 |
Chandrasekaran B, Swartout W. Explanations in Knowledge Systems: The Role of Explicit Representation of Design Knowledge Ieee Expert-Intelligent Systems and Their Applications. 6: 47-49. DOI: 10.1109/64.87684 |
0.344 |
|
| 1991 |
Chandrasekaran B. Models versus rules, deep versus compiled, content versus form: Some distinctions in knowledge systems research Ieee Expert. 6. DOI: 10.1109/64.79713 |
0.403 |
|
| 1990 |
Sylvan DA, Goel A, Chandrasekaran B. Analyzing Political Decision Making from an Information-Processing Perspective: JESSE American Journal of Political Science. 34: 74. DOI: 10.2307/2111512 |
0.31 |
|
| 1989 |
Yamada N, Chandrasekaran B, Bhatnager R. Knowledge-Based Operation Guidance System for Nuclear Power Plants Based on Generic Task Methodology Journal of Nuclear Science and Technology. 26: 655-669. DOI: 10.3327/Jnst.26.655 |
0.306 |
|
| 1989 |
Chandrasekaran B, Tanner MC, Josephson JR. Explaining Control Strategies in Problem Solving Ieee Expert-Intelligent Systems and Their Applications. 4: 9-15. DOI: 10.1109/64.21896 |
0.381 |
|
| 1989 |
Sticklen J, Chandrasekaran B. Integrating classification-based compiled level reasoning with function-based deep level reasoning Applied Artificial Intelligence. 3: 275-304. DOI: 10.1080/08839518908949928 |
0.358 |
|
| 1989 |
Sticklen J, Chandrasekaran B, Bond WE. Distributed causal reasoning Knowledge Acquisition. 1: 139-162. DOI: 10.1016/S1042-8143(89)80017-2 |
0.329 |
|
| 1989 |
Chandrasekaran B, Josephson J, Keuneke A, Herman D. Building routine planning systems and explaining their behavior International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 30: 377-398. DOI: 10.1016/S0020-7373(89)80024-0 |
0.406 |
|
| 1989 |
Chandrasekaran B, Smith JW, Sticklen J. 'Deep' models and their relation to diagnosis Artificial Intelligence in Medicine. 1: 29-40. DOI: 10.1016/0933-3657(89)90014-6 |
0.406 |
|
| 1989 |
Chandrasekaran B. Task-Structures, Knowledge Acquisition and Learning Machine Learning. 4: 339-345. DOI: 10.1007/Bf00130718 |
0.343 |
|
| 1988 |
Chandrasekaran B, Goel A, Allemang D. Connectionism and information processing abstractions Ai Magazine. 9: 24-34. DOI: 10.1609/Aimag.V9I4.951 |
0.391 |
|
| 1987 |
Bylander T, Chandrasekaran B. Generic tasks for knowledge-based reasoning: the “right” level of abstraction for knowledge acquisition International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 26: 231-243. DOI: 10.1016/S0020-7373(87)80093-7 |
0.414 |
|
| 1987 |
Bylander T, Chandrasekaran B. Generic tasks for knowledge-based reasoning: The 'right' level of abstraction for knowledge acquisition International Journal of Man-Machine Studies. 26: 231-243. |
0.304 |
|
| 1986 |
Chandrasekaran B. Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design Ieee Expert-Intelligent Systems and Their Applications. 1: 23-30. DOI: 10.1109/Mex.1986.4306977 |
0.311 |
|
| 1985 |
Chandrasekaran B, Milne R. Reasoning about structure, behavior and function Intelligence\/Sigart Bulletin. 93: 4-55. DOI: 10.1145/1056557.1056561 |
0.315 |
|
| 1985 |
Bylander T, Mittal S, Chandrasekaran B. CSRL: A language for expert systems for diagnosis Computers and Mathematics With Applications. 11: 449-456. DOI: 10.1016/0898-1221(85)90050-1 |
0.352 |
|
| 1983 |
Chandrasekaran B. Towards a Taxonomy of Problem Solving Types Ai Magazine. 4: 9-17. DOI: 10.1609/Aimag.V4I1.383 |
0.411 |
|
| 1983 |
Chandrasekaran B, Mittal S. Conceptual Representation of Medical Knowledge for Diagnosis by Computer: MDX and Related Systems Advances in Computers. 22: 217-293. DOI: 10.1016/S0065-2458(08)60130-8 |
0.361 |
|
| 1983 |
Chandrasekaran B, Mittal S. Deep versus compiled knowledge approaches to diagnostic problem-solving International Journal of Man-Machine Studies. 19: 425-436. DOI: 10.1006/Ijhc.1983.0314 |
0.406 |
|
| 1982 |
Jain AK, Chandrasekaran B. 39 Dimensionality and sample size considerations in pattern recognition practice Handbook of Statistics. 2: 835-855. DOI: 10.1016/S0169-7161(82)02042-2 |
0.303 |
|
| 1979 |
Lakshmanan KB, Chandrasekaran B. Compound hypothesis testing with finite memory Information and Control. 40: 223-233. DOI: 10.1016/S0019-9958(79)90402-9 |
0.303 |
|
| 1975 |
Chandrasekaran B. Artificial Intelligence-The Past Decade Advances in Computers. 13: 169-232. DOI: 10.1016/S0065-2458(08)60658-0 |
0.327 |
|
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