2007 |
38 | EE | Dong (Walter) Xie,
James F. Baldwin:
Fuzzy prototype model and semantic distance.
Inf. Syst. 32(7): 944-967 (2007) |
37 | EE | Dong (Walter) Xie,
James F. Baldwin:
Intelligent Fril/SQL interrogator.
Int. J. Intell. Syst. 22(3): 279-302 (2007) |
2004 |
36 | EE | 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 |
35 | EE | Inés González Rodríguez,
Jonathan Lawry,
James F. Baldwin:
Induction And Fusion Of Fuzzy Prototypes.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(4): 409-446 (2004) |
2003 |
34 | EE | M. A. Anwar,
James F. Baldwin,
Trevor P. Martin:
Learning Fuzzy Rules for Visual Speech Recognition.
Adaptive Multimedia Retrieval 2003: 164-175 |
33 | EE | Inés González Rodríguez,
Jonathan Lawry,
James F. Baldwin:
An Iterative Fuzzy Prototype Induction Algorithm.
IWANN (1) 2003: 286-293 |
32 | EE | James F. Baldwin,
Sachin B. Karale:
Asymmetric Triangular Fuzzy Sets for Classification Models.
KES 2003: 364-370 |
31 | EE | Stephen A. Mccoy,
Trevor P. Martin,
James F. Baldwin:
Learning Rules for Odour Recognition in an Electronic Nose.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(5): 517-544 (2003) |
2001 |
30 | EE | Jonathan Rossiter,
Tru H. Cao,
Trevor P. Martin,
James F. Baldwin:
Imprecise belief updating for uncertain user modelling.
EUSFLAT Conf. 2001: 122-125 |
29 | | Jonathan Rossiter,
Tru H. Cao,
Trevor P. Martin,
James F. Baldwin:
Object-oriented Modelling with Words.
FUZZ-IEEE 2001: 59-62 |
28 | | 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 |
27 | | James F. Baldwin,
Trevor P. Martin,
Aimilia Tzanavari:
User Modeling Using Conceptual Graphs for Intelligent Agents.
ICCS 2000: 193-206 |
26 | | Trevor P. Martin,
James F. Baldwin:
Soft Computing for Intelligent Knowledge-Based Systems.
Intelligent Systems and Soft Computing 2000: 161-187 |
25 | | Simon J. Case,
James F. Baldwin,
Trevor P. Martin:
Machine Interpretation of Facial Expressions.
Intelligent Systems and Soft Computing 2000: 321-342 |
24 | | James F. Baldwin:
Future Directions for Soft Computing.
Intelligent Systems and Soft Computing 2000: 72-94 |
23 | | James F. Baldwin,
Trevor P. Martin,
Christiane Ponsan:
Semantic Discrimination Analysis for Feature Selection.
SAC (1) 2000: 519-523 |
22 | EE | James F. Baldwin,
Jonathan Lawry:
A New Approach to Learning Linguistic Control Rules.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(1): 21-44 (2000) |
21 | EE | James G. Shanahan,
Barry T. Thomas,
Majid Mirmehdi,
Trevor P. Martin,
N. Campbell,
James F. Baldwin:
A Soft Computing Approach to Road Classification.
Journal of Intelligent and Robotic Systems 29(4): 349-387 (2000) |
1999 |
20 | EE | James G. Shanahan,
Barry T. Thomas,
Majid Mirmehdi,
Trevor P. Martin,
James F. Baldwin:
Road Recognition Using Fuzzy Classifiers.
BMVC 1999 |
19 | EE | James F. Baldwin,
Trevor P. Martin,
James G. Shanahan:
Controlling with words using automatically identified fuzzy Cartesian granule feature models.
Int. J. Approx. Reasoning 22(1-2): 109-148 (1999) |
1998 |
18 | EE | James F. Baldwin,
Jonathan Lawry,
Trevor P. Martin:
The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(5): 459-488 (1998) |
1997 |
17 | | James F. Baldwin:
Mass Assignment Fundamentals for Computing with Words.
Fuzzy Logic in Artificial Intelligence (IJCAI Workshop) 1997: 22-44 |
16 | | 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 |
15 | | 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 |
14 | | James F. Baldwin,
Trevor P. Martin:
Basic Concepts of a Fuzzy Logic Data Browser with Applications.
Software Agents and Soft Computing 1997: 211-241 |
1996 |
13 | EE | James F. Baldwin:
Knowledge from data using fuzzy methods.
Pattern Recognition Letters 17(6): 593-600 (1996) |
1995 |
12 | | James F. Baldwin,
Trevor P. Martin:
Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser.
Fuzzy Logic in Artificial Intelligence 1995: 81-100 |
11 | | James F. Baldwin,
M. 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) |
1994 |
10 | | James F. Baldwin:
Soft Computing in Fril.
Fuzzy Days 1994: 227-234 |
1993 |
9 | | James F. Baldwin:
Fuzzy Sets, Fuzzy Clustering and Fuzzy Rules in AI.
Fuzzy Logic in Artificial Intelligence 1993: 10-23 |
8 | | James F. Baldwin,
M. 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 |
7 | | James F. Baldwin,
Trevor P. Martin:
From Fuzzy Databases to Intelligent Manual Using Fril.
J. Intell. Inf. Syst. 2(4): 365-395 (1993) |
1991 |
6 | | James F. Baldwin:
A New Approach to Inference Under Uncertainty for Knowledge Based Systems.
ECSQARU 1991: 107-114 |
5 | | James F. Baldwin:
A Theory of Mass Assignments for Artificial Intelligence.
Fuzzy Logic and Fuzzy Control 1991: 22-34 |
1990 |
4 | | Trevor P. Martin,
James F. Baldwin:
An Abstract Mechanism for Handling Uncertainty.
IPMU 1990: 126-135 |
3 | | James F. Baldwin:
Towards a General Theory of Evidential Reasoning.
IPMU 1990: 360-369 |
1989 |
2 | | Anca L. Ralescu,
James F. Baldwin:
Concept Learning from Examples and Counter Examples.
International Journal of Man-Machine Studies 30(3): 329-354 (1989) |
1985 |
1 | EE | James F. Baldwin:
Fuzzy sets and expert systems.
Inf. Sci. 36(1-2): 123-156 (1985) |