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2000 – 2009
- 2008
[j28]E. Di Tomaso
, Jim F. Baldwin:
An approach to hybrid probabilistic models. Int. J. Approx. Reason. 47(2): 202-218 (2008)- 2007
- [j27]Dong Walter Xie, James F. Baldwin:
Intelligent Fril/SQL interrogator. Int. J. Intell. Syst. 22(3): 279-302 (2007) - [j26]E. Di Tomaso, Jim F. Baldwin:
Effective database processing for classification and regression with continuous variables. Int. J. Intell. Syst. 22(12): 1271-1285 (2007) - [j25]Dong Walter Xie, James F. Baldwin:
Fuzzy prototype model and semantic distance. Inf. Syst. 32(7): 944-967 (2007) - [c34]Kenneth H. L. Ho, Trevor Martin, Jim F. Baldwin:
Snooker Robot Player - 20 Years on. CIG 2007: 1-8 - 2006
- [c33]Eulalia Szmidt, Jim F. Baldwin:
Intuitionistic Fuzzy Set Functions, Mass Assignment Theory, Possibility Theory and Histograms. FUZZ-IEEE 2006: 35-41 - 2004
- [j24]Inés González Rodríguez, Jonathan Lawry, James F. Baldwin:
Induction And Fusion Of Fuzzy Prototypes. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 12(4): 409-446 (2004) - [c32]James F. Baldwin, Dong Walter Xie:
Simple Fuzzy Logic Rules Based on Fuzzy Decision Tree for Classification and Prediction Problem. Intelligent Information Processing 2004: 175-184 - 2003
- [j23]Stephen A. McCoy, Trevor P. Martin, James F. Baldwin:
Learning Rules for Odour Recognition in an Electronic Nose. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(5): 517-544 (2003) - [c31]M. A. Anwar, James F. Baldwin, Trevor P. Martin:
Learning Fuzzy Rules for Visual Speech Recognition. Adaptive Multimedia Retrieval 2003: 164-175 - [c30]Jim F. Baldwin, E. Di Tomaso:
Bayesian networks for continuous values and uncertainty in the learning process. EUSFLAT Conf. 2003: 679-682 - [c29]Jim F. Baldwin, Enza Di Tomaso:
Inference and learning in fuzzy bayesian networks. FUZZ-IEEE 2003: 630-635 - [c28]Inés González Rodríguez, Jonathan Lawry, James F. Baldwin:
An Iterative Fuzzy Prototype Induction Algorithm. IWANN (1) 2003: 286-293 - [c27]James F. Baldwin, Sachin Baban Karale:
Asymmetric Triangular Fuzzy Sets for Classification Models. KES 2003: 364-370 - 2001
- [c26]Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin:
Imprecise belief updating for uncertain user modelling. EUSFLAT Conf. 2001: 122-125 - [c25]Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin:
Object-oriented Modelling with Words. FUZZ-IEEE 2001: 59-62 - [c24]Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin:
User Recognition in Uncertain Object Oriented User Modelling. FUZZ-IEEE 2001: 740-743 - 2000
- [j22]James F. Baldwin, Jonathan Lawry:
A New Approach to Learning Linguistic Control Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(1): 21-44 (2000) - [j21]James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, Neill W. Campbell, James F. Baldwin:
A Soft Computing Approach to Road Classification. J. Intell. Robotic Syst. 29(4): 349-387 (2000) - [c23]Jim F. Baldwin, Jonathan Lawry:
A c-fuzzy means algorithm for prototype induction. FUZZ-IEEE 2000: 164-169 - [c22]Jim F. Baldwin, Tru H. Cao, Trevor P. Martin, Jonathan M. Rossiter:
Towards soft computing object-oriented logic programming. FUZZ-IEEE 2000: 768-773 - [c21]James F. Baldwin, Trevor P. Martin, Aimilia Tzanavari:
User Modeling Using Conceptual Graphs for Intelligent Agents. ICCS 2000: 193-206 - [c20]James F. Baldwin, Trevor P. Martin, Christiane Ponsan:
Semantic Discrimination Analysis for Feature Selection. SAC (1) 2000: 519-523 - [c19]James F. Baldwin:
Future Directions for Soft Computing. Intelligent Systems and Soft Computing 2000: 72-94 - [c18]Trevor P. Martin, James F. Baldwin:
Soft Computing for Intelligent Knowledge-Based Systems. Intelligent Systems and Soft Computing 2000: 161-187 - [c17]Simon J. Case, James F. Baldwin, Trevor P. Martin:
Machine Interpretation of Facial Expressions. Intelligent Systems and Soft Computing 2000: 321-342
1990 – 1999
- 1999
- [j20]James F. Baldwin, Trevor P. Martin, James G. Shanahan:
Controlling with words using automatically identified fuzzy Cartesian granule feature models. Int. J. Approx. Reason. 22(1-2): 109-148 (1999) - [j19]Jim F. Baldwin, Jonathan Lawry, Trevor P. Martin:
A mass assignment method for prototype induction. Int. J. Intell. Syst. 14(10): 1041-1070 (1999) - [c16]James F. Baldwin, Trevor P. Martin, Mehreen Saeed:
Automatic computer lip-reading using fuzzy set theory. AVSP 1999: 14 - [c15]James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin:
Road Recognition Using Fuzzy Classifiers. BMVC 1999: 1-11 - [c14]James G. Shanahan, Jim F. Baldwin, Trevor P. Martin:
Constructive induction of fuzzy Cartesian granule feature models using genetic programming with applications. CEC 1999: 218-228 - 1998
- [j18]James F. Baldwin, Jonathan Lawry, Trevor P. Martin:
A note on the conditional probability of fuzzy subsets of a continuous domain. Fuzzy Sets Syst. 96(2): 211-222 (1998) - [j17]James F. Baldwin, Jonathan Lawry, Trevor P. Martin:
The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(5): 459-488 (1998) - 1997
- [j16]James F. Baldwin, Jonathan Lawry, Trevor P. Martin:
A mass assignment based ID3 algorithm for decision tree induction. Int. J. Intell. Syst. 12(7): 523-552 (1997) - [c13]James F. Baldwin, Trevor P. Martin:
Basic Concepts of a Fuzzy Logic Data Browser with Applications. Software Agents and Soft Computing 1997: 211-241 - [c12]James F. Baldwin:
Mass Assignment Fundamentals for Computing with Words. Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) 1997: 22-44 - [c11]James F. Baldwin, Trevor P. Martin, Maria Vargas-Vera:
FRIL++ a Language for Object-Oriented Programming with Uncertainty. Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) 1997: 62-78 - [c10]James F. Baldwin, Trevor P. Martin, James G. Shanahan:
System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming. Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) 1997: 91-116 - 1996
- [j15]Jim F. Baldwin, R. M. Gooch, Trevor P. Martin:
Fuzzy processing of hydrophone sounds. Fuzzy Sets Syst. 77(1): 35-47 (1996) - [j14]Jim F. Baldwin, Jonathan Lawry, Trevor P. Martin:
A mass assignment theory of the probability of fuzzy events. Fuzzy Sets Syst. 83(3): 353-367 (1996) - [j13]James F. Baldwin:
Knowledge from data using fuzzy methods. Pattern Recognit. Lett. 17(6): 593-600 (1996) - 1995
- [j12]Rita A. Ribeiro, Philip L. Powell, James F. Baldwin:
Uncertainty in decision-making: An abductive perspective. Decis. Support Syst. 13(2): 183-193 (1995) - [j11]James F. Baldwin, Trevor P. Martin, Athena Tocatlidou:
Uncertainty management in radioactive waste repository site assessment. Fuzzy Sets Syst. 74(1): 81-91 (1995) - [j10]James F. Baldwin, Mark R. Coyne, Trevor P. Martin:
Intelligent Reasoning Using General Knowledge to Update Specific Information: Database Approach. J. Intell. Inf. Syst. 4(3): 281-304 (1995) - [c9]James F. Baldwin, Trevor P. Martin:
Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser. Fuzzy Logic in Artificial Intelligence 1995: 81-100 - 1994
- [j9]James F. Baldwin, Rita A. Ribeiro:
Fuzzy Reasoning by Case for Decision Support Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 2(1): 11-24 (1994) - [c8]James F. Baldwin:
Soft Computing in Fril. Fuzzy Days 1994: 227-234 - 1993
- [j8]Jim F. Baldwin:
Evidential support logic, FRIL and case based reasoning. Int. J. Intell. Syst. 8(9): 939-960 (1993) - [j7]James F. Baldwin, Trevor P. Martin:
From Fuzzy Databases to Intelligent Manual Using Fril. J. Intell. Inf. Syst. 2(4): 365-395 (1993) - [c7]James F. Baldwin:
Fuzzy Sets, Fuzzy Clustering and Fuzzy Rules in AI. Fuzzy Logic in Artificial Intelligence 1993: 10-23 - [c6]James F. Baldwin, Mark R. Coyne, Trevor P. Martin:
Querying a Database with Fuzzy Attribute Values by Iterativ Updating of the Selection Criteria. Fuzzy Logic in Artificial Intelligence 1993: 62-76 - 1992
- [j6]James F. Baldwin, B. W. Pilsworth:
Semantic unification with fuzzy concepts in FRIL. Int. J. Intell. Syst. 7(1): 61-69 (1992) - 1991
- [j5]James F. Baldwin:
Combining evidences for evidential reasoning. Int. J. Intell. Syst. 6(6): 569-616 (1991) - [c5]James F. Baldwin:
A New Approach to Inference Under Uncertainty for Knowledge Based Systems. ECSQARU 1991: 107-114 - [c4]James F. Baldwin:
A Theory of Mass Assignments for Artificial Intelligence. Fuzzy Logic and Fuzzy Control 1991: 22-34 - 1990
- [c3]Trevor P. Martin, James F. Baldwin:
An Abstract Mechanism for Handling Uncertainty. IPMU 1990: 126-135 - [c2]James F. Baldwin:
Towards a General Theory of Evidential Reasoning. IPMU 1990: 360-369
1980 – 1989
- 1989
- [j4]Anca L. Ralescu, James F. Baldwin:
Concept Learning from Examples and Counter Examples. Int. J. Man Mach. Stud. 30(3): 329-354 (1989) - 1988
- [j3]Dominic A. Clark, Jim F. Baldwin, Hamid R. Berenji, Paul R. Cohen, Didier Dubois, John Fox, John F. Lemmer, Henri Prade, David J. Spiegelhalter, Philippe Smets, Lotfi A. Zadeh:
Responses to "An AI view of the treatment of uncertainty" by Alessandro Saffiotti. Knowl. Eng. Rev. 3(1): 59-86 (1988) - 1987
- [c1]Anca L. Ralescu, James F. Baldwin:
Concept Learning from Examples with Applications to a Vision Learning System. Alvey Vision Conference 1987: 1-8 - 1986
- [j2]James F. Baldwin:
Support logic programming. Int. J. Intell. Syst. 1(2): 73-104 (1986) - 1985
- [j1]James F. Baldwin:
Fuzzy sets and expert systems. Inf. Sci. 36(1-2): 123-156 (1985)
Coauthor Index
aka: Trevor Martin
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