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ORCIDTrevor P. Martin
Trevor Martin
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- affiliation: University of Bristol, UK
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2020 – today
- 2022
[j28]Victor Akpokiro, Trevor Martin, Oluwatosin Oluwadare
:
EnsembleSplice: ensemble deep learning model for splice site prediction. BMC Bioinform. 23(1): 413 (2022)- [c85]Robert Zakrzewski, Trevor Martin, George Oikonomou:
Anomaly Detection in Logical Sub-Views of WSNs. ISCC 2022: 1-7 - [c84]Robert Zakrzewski, Trevor Martin, George Oikonomou:
Topology Change Localisation in WSNs. MECO 2022: 1-6 - [c83]Robert Zakrzewski, Trevor Martin, George Oikonomou:
Graph modelled system change detection in WSNs. MECO 2022: 1-6 - [c82]Trevor Martin:
No Explanation Without (Fuzzy) Representation. UKCI 2022: 24-36 - 2021
- [c81]Robert Zakrzewski, Trevor Martin, George Oikonomou:
Anomaly detection of data and topology patterns in WSNs. DCOSS 2021: 535-542 - [c80]Trevor Martin:
On the Need for Collaborative Intelligence in Cybersecurity. AI-Cybersec@SGAI 2021: 100-112 - [c79]Trevor Martin, Douglas Harewood-Gill, Reza Nejabati:
Q-Routing with Multiple Soft Requirements. UKCI 2021: 61-67 - [c78]Douglas Harewood-Gill, Trevor Martin, Reza Nejabati:
Q-Routing Using Multiple QoS Metrics in SDN. UKCI 2021: 325-336 - 2020
- [c77]Trevor Martin, Alex Healing, Ben Azvine:
A New Approach to Fuzzy Regular Expression Parsers for Cybersecurity Logs. FUZZ-IEEE 2020: 1-8 - [c76]Douglas Harewood-Gill, Trevor Martin, Reza Nejabati:
The Performance of Q-Learning within SDN Controlled Static and Dynamic Mesh Networks. NetSoft 2020: 185-189
2010 – 2019
- 2019
- [c75]Pawel Kowalski, Trevor Martin:
Embedding Uncertainty in Conceptual Graphs for Semantic Information Fusion. CogSIMA 2019: 1-8 - [c74]Trevor P. Martin, Ratih N. E. Anggraini:
A Graded Approach to Requirement Satisfaction for Evolving Systems. FUZZ-IEEE 2019: 1-6 - 2018
- [j27]Arnaud Castelltort, Trevor Martin:
Handling scalable approximate queries over NoSQL graph databases: Cypherf and the Fuzzy4S framework. Fuzzy Sets Syst. 348: 21-49 (2018) - [j26]Fernando Bobillo, Kenneth J. Laskey, Trevor Martin, Matthias Nickles:
Special issue on "Uncertainty Reasoning for the Web". Int. J. Approx. Reason. 93: 327-329 (2018) - [c73]Pawel Kowalski, Trevor Martin:
Provenance Across Evidence Combination in Theory of Belief Functions. FUSION 2018: 635-642 - [c72]Trevor Martin, Ben Azvine:
Graded Concepts for Collaborative Intelligence. SMC 2018: 2589-2594 - 2017
- [j25]Alexander Pooth, Johan Bergsten, Niklas Rorsman, Hassan Hirshy, R. Perks, Paul J. Tasker, Trevor Martin, Richard F. Webster, Dave Cherns, Michael J. Uren, Martin Kuball:
Morphological and electrical comparison of Ti and Ta based ohmic contacts for AlGaN/GaN-on-SiC HFETs. Microelectron. Reliab. 68: 2-4 (2017) - [c71]Trevor Martin:
community2vec: Vector representations of online communities encode semantic relationships. NLP+CSS@ACL 2017: 27-31 - [c70]Trevor Martin, Ben Azvine:
Graded concepts and associations. FUZZ-IEEE 2017: 1-6 - [c69]Pawel Kowalski, Trevor Martin:
Assessment of the contribution of a source of information to the final belief in a proposition. ICNC-FSKD 2017: 1402-1409 - [c68]Trevor Martin, Ben Azvine:
Graded associations in situation awareness. IFSA-SCIS 2017: 1-6 - [c67]Ratih N. E. Anggraini, Trevor P. Martin:
Fuzzy Representation for Flexible Requirement Satisfaction. UKCI 2017: 28-36 - 2016
- [c66]Daniel Fernando Pigatto, Angélica Félix de Castro, Kalinka R. L. J. Castelo Branco, Trevor Martin:
Aplicação de Fuzzy para a redução do consumo de energia de módulos internos em veículos aéreos não tripulados. EATIS 2016: 1-7 - [c65]Trevor Martin, Ben Azvine:
A virtual machine for event sequence identification using fuzzy tolerance. FUZZ-IEEE 2016: 1080-1087 - [c64]Trevor P. Martin, Ben Azvine:
An Incremental Fuzzy Approach to Finding Event Sequences. IPMU (1) 2016: 525-536 - [e13]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 17, 2016. CEUR Workshop Proceedings 1665, CEUR-WS.org 2016 [contents] - 2015
- [j24]Nurfadhlina Mohd Sharef, Trevor P. Martin:
Evolving fuzzy grammar for crime texts categorization. Appl. Soft Comput. 28: 175-187 (2015) - [j23]Trevor P. Martin:
The X-mu representation of fuzzy sets. Soft Comput. 19(6): 1497-1509 (2015) - [j22]Nurfadhlina Mohd Sharef, Trevor Martin, Khairul Azhar Kasmiran, Aida Mustapha, Md Nasir Sulaiman, Masrah Azrifah Azmi Murad:
A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization. Soft Comput. 19(6): 1701-1714 (2015) - [c63]Trevor P. Martin, Ben Azvine:
Representation and Identification of Approximately Similar Event Sequences. FQAS 2015: 87-99 - [c62]Daniel J. Lewis, Trevor P. Martin:
Managing Vagueness with Fuzzy in Hierarchical Big Data1. INNS Conference on Big Data 2015: 19-28 - [e12]Adnan Yazici, Nikhil R. Pal, Uzay Kaymak, Trevor Martin, Hisao Ishibuchi, Chin-Teng Lin, João M. C. Sousa, Bülent Tütmez:
2015 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, August 2-5, 2015. IEEE 2015, ISBN 978-1-4673-7428-6 [contents] - [e11]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool:
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, USA, October 12, 2015. CEUR Workshop Proceedings 1479, CEUR-WS.org 2015 [contents] - 2014
- [j21]Trevor P. Martin:
Change mining in evolving fuzzy concept lattices. Evol. Syst. 5(4): 259-274 (2014) - [c61]N. H. Abd Rahim, Trevor P. Martin:
Support-based distance measurement between lattices. EAIS 2014: 1-8 - [c60]Stephen G. Matthews, Trevor P. Martin:
Possibilistic projected categorical clustering via cluster cores. FUZZ-IEEE 2014: 2063-2070 - [c59]Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin:
Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. IPMU (1) 2014: 168-178 - [c58]Daniel J. Lewis, Trevor P. Martin:
The X-μ Approach: In Theory and Practice. IPMU (3) 2014: 406-415 - [e10]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Tom De Nies, Olaf Hartig, Paul Groth, Stephen Marsh:
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014. CEUR Workshop Proceedings 1259, CEUR-WS.org 2014 [contents] - 2013
- [j20]Trevor Martin, Andrei Majidian:
Finding Fuzzy Concepts for Creative Knowledge Discovery. Int. J. Intell. Syst. 28(1): 93-114 (2013) - [j19]Trevor P. Martin, N. H. Abd Rahim, Andrei Majidian:
A general approach to the measurement of change in fuzzy concept lattices. Soft Comput. 17(12): 2223-2234 (2013) - [c57]Trevor Martin:
On Fuzziness. On Fuzziness (1) 2013: 407-414 - [c56]Trevor P. Martin:
Dynamic and evolving fuzzy concept lattices. EAIS 2013: 25-31 - [c55]Jonathan Lawry, Trevor Martin:
Conditional Beliefs in a Bipolar Framework. ECSQARU 2013: 364-375 - [c54]Trevor P. Martin, Ben Azvine:
The X-mu approach: Fuzzy quantities, fuzzy arithmetic and fuzzy association rules. FOCI 2013: 24-29 - [c53]Mai Le, Detlef D. Nauck, Bogdan Gabrys, Trevor Martin:
KNNs and Sequence Alignment for Churn Prediction. SGAI Conf. 2013: 279-285 - [c52]Trevor P. Martin:
The X-mu representation of fuzzy sets - Regaining the excluded middle. UKCI 2013: 67-73 - [c51]Daniel J. Lewis, Trevor P. Martin:
X-μ fuzzy association rule method. UKCI 2013: 144-150 - [e9]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013. CEUR Workshop Proceedings 1073, CEUR-WS.org 2013 [contents] - 2012
- [c50]Trevor P. Martin, N. H. Abd Rahim, Andrei Majidian:
Measuring change in fuzzy concept lattices. UKCI 2012: 1-8 - [p4]Trevor Martin, Hongmei He:
Bisociative Discovery in Business Process Models. Bisociative Knowledge Discovery 2012: 452-471 - [e8]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 900, CEUR-WS.org 2012 [contents] - 2011
- [c49]Trevor Martin, Nurfadhlina Mohd Sharef:
Case studies with evolving fuzzy grammars. EAIS 2011: 39-45 - [e7]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles:
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011. CEUR Workshop Proceedings 778, CEUR-WS.org 2011 [contents] - 2010
- [j18]Trevor Martin, Yun Shen, Andrei Majidian:
Discovery of time-varying relations using fuzzy formal concept analysis and associations. Int. J. Intell. Syst. 25(12): 1217-1248 (2010) - [c48]Yun Shen, Trevor Martin:
Intelligent user search behaviour knowledge discovery. FUZZ-IEEE 2010: 1-8 - [c47]Trevor P. Martin, Yun Shen, Andrei Majidian:
Soft Concept Hierarchies to Summarise Data Streams and Highlight Anomalous Changes. IPMU (2) 2010: 44-54 - [e6]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. CEUR Workshop Proceedings 654, CEUR-WS.org 2010 [contents] - [e5]Trevor P. Martin, Azah Kamilah Muda, Ajith Abraham, Henri Prade, Anne Laurent, Dominique Laurent, Virginie Sans:
Second International Conference of Soft Computing and Pattern Recognition, SoCPaR 2010, Cergy Pontoise / Paris, France, December 7-10, 2010. IEEE 2010, ISBN 978-1-4244-7897-2 [contents]
2000 – 2009
- 2009
- [c46]Yun Shen, Trevor P. Martin, Pete Bramhall:
Intelligent Security Data Analysis. CIS (1) 2009: 74-78 - [c45]Trevor Martin, Yun Shen:
mTRACK - Monitoring time-varying relations in approximately categorised knowledge. CISDA 2009: 1-8 - [c44]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Trevor Martin:
Optimising the Fuzzy Granulation of Attribute Domains. IFSA/EUSFLAT Conf. 2009: 742-747 - [c43]Nurfadhlina Mohd Sharef, Trevor Martin, Yun Shen:
Minimal Combination for Incremental Grammar Fragment Learning. IFSA/EUSFLAT Conf. 2009: 909-914 - [c42]Trevor Martin, Yun Shen:
Data Integration, Approximate Categorisation and Fuzzy Associations. IFSA/EUSFLAT Conf. 2009: 986-991 - [c41]Andrei Majidian, Trevor Martin:
Extracting Taxonomies from Data - A Case Study Using Fuzzy Formal Concept Analysis. Web Intelligence/IAT Workshops 2009: 191-194 - [c40]Siyao Zheng, Yiming Zhou, Trevor Martin:
A New Method for Fuzzy Formal Concept Analysis. Web Intelligence/IAT Workshops 2009: 405-408 - [c39]Nurfadhlina Mohd Sharef, Trevor Martin, Yun Shen:
Order Independent Incremental Evolving Fuzzy Grammar Fragment Learner. ISDA 2009: 1221-1226 - [c38]Trevor Martin, Siyao Zheng, Andrei Majidian:
Fuzzy Taxonomies for Creative Knowledge Discovery. URSW 2009: 81-84 - [p3]Trevor Martin, Yun Shen:
Fuzzy Association Rules to Summarise Multiple Taxonomies in Large Databases. Scalable Fuzzy Algorithms for Data Management and Analysis 2009: 273-301 - [e4]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009. CEUR Workshop Proceedings 527, CEUR-WS.org 2009 [contents] - 2008
- [j17]Trevor P. Martin, Yun Shen, Ben Azvine:
Incremental Evolution of Fuzzy Grammar Fragments to Enhance Instance Matching and Text Mining. IEEE Trans. Fuzzy Syst. 16(6): 1425-1438 (2008) - [c37]Yun Shen, Trevor P. Martin:
Granular Association Analysis. BLISS 2008: 142-147 - [c36]Trevor P. Martin, Yun Shen, Ben Azvine:
Automated semantic tagging using fuzzy grammar fragments. FUZZ-IEEE 2008: 2224-2229 - [c35]Trevor P. Martin, Yun Shen, Ben Azvine:
Granular Association Rules for Multiple Taxonomies: A Mass Assignment Approach. URSW (LNCS Vol.) 2008: 224-243 - [e3]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás:
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008 [contents] - [e2]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008. CEUR Workshop Proceedings 423, CEUR-WS.org 2008 [contents] - 2007
- [j16]Richard P. Taylor, R. Guzman, Trevor P. Martin, G. D. R. Hall, Adam P. Micolich, David Jonas, B. C. Scannell, M. S. Fairbanks, C. A. Marlow:
Authenticating Pollock paintings using fractal geometry. Pattern Recognit. Lett. 28(6): 695-702 (2007) - [c34]Kenneth H. L. Ho, Trevor Martin, Jim F. Baldwin:
Snooker Robot Player - 20 Years on. CIG 2007: 1-8 - [c33]Trevor Martin, Ben Azvine, Yun Shen:
Computational Intelligence Support for Smart Queries and Adaptive Data. CISDA 2007: 77-84 - [c32]Trevor P. Martin, Yun Shen, Ben Azvine:
Finding Soft Relations in Granular Information Hierarchies. GrC 2007: 324-329 - [c31]Trevor Martin, Yun Shen, Ben Azvine:
A Mass Assignment Approach to Granular Association Rules for Multiple Taxonomies. URSW 2007 - [p2]Trevor Martin, Basim A. Majeed, Beum-Seuk Lee, Nick P. Clarke:
A Third-Generation Telecare System using Fuzzy Ambient Intelligence. Computational Intelligence for Agent-based Systems 2007: 155-175 - 2006
- [c30]Trevor Martin, Basim A. Majeed, Beum-Seuk Lee, Nick P. Clarke:
Fuzzy Ambient Intelligence for Next Generation Telecare. FUZZ-IEEE 2006: 894-901 - [c29]Trevor Martin:
Fuzzy Ambient Intelligence in Home Telecare. IEA/AIE 2006: 12-13 - [c28]Trevor Martin:
Implementing Uncertainty in a Logic Programming Framework. URSW 2006 - [p1]Trevor Martin, Ben Azvine:
Soft integration of information with semantic gaps. Fuzzy Logic and the Semantic Web 2006: 307-326 - 2005
- [j15]Trevor Martin:
Fuzzy sets in the fight against digital obesity. Fuzzy Sets Syst. 156(3): 411-417 (2005) - [c27]Nick P. Clarke, Beng-Seuk Lee, Basim A. Majeed, Trevor P. Martin:
Long-Term Condition Monitoring for Tele-Care Systems. Artificial Intelligence and Applications 2005: 709-714 - [c26]Trevor P. Martin, Yun Shen:
Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. Adaptive Multimedia Retrieval 2005: 266-278 - [c25]Trevor P. Martin, Masrah Azrifah Azmi Murad:
An Incremental Algorithm to find Asymmetric Word Similarities for Fuzzy Text Mining. WSTST 2005: 838-847 - 2004
- [c24]Beng-Seuk Lee, Trevor P. Martin, Nick P. Clarke, Basim A. Majeed, Detlef D. Nauck:
Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems. ICDM 2004: 447-450 - [c23]Masrah Azrifah Azmi Murad, Trevor P. Martin:
Using Fuzzy Sets in Contextual Word Similarity. IDEAL 2004: 517-522 - [c22]Masrah Azrifah Azmi Murad, Trevor P. Martin:
Sentence Extraction Using Asymmetric Word Similarity and Topic Similarity. WSC 2004: 505-514 - 2003
- [j14]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) - [j13]Trevor P. Martin, Behnam Azvine:
Adaptive user modelling in intelligent telephone and email assistants. Soft Comput. 8(2): 93-101 (2003) - [c21]M. A. Anwar, James F. Baldwin, Trevor P. Martin:
Learning Fuzzy Rules for Visual Speech Recognition. Adaptive Multimedia Retrieval 2003: 164-175 - [c20]Trevor P. Martin:
ASK - Acquisition of Semantic Knowledge. ICANN 2003: 917-924 - 2002
- [j12]Trevor P. Martin:
Editorial introduction. Int. J. Intell. Syst. 17(9): 833-834 (2002) - [c19]Georgios Tselentis, Francesco Marcelloni, Trevor P. Martin, Luca Sensi:
Odour Classification based on Computational Intelligence Techniques. Advances in Computational Intelligence and Learning 2002: 383-399 - [c18]Trevor P. Martin, Behnam Azvine:
Adaptive User Modelling in an Intelligent Telephone Assistant. Soft-Ware 2002: 102-113 - 2001
- [c17]Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin:
Imprecise belief updating for uncertain user modelling. EUSFLAT Conf. 2001: 122-125 - [c16]Jonathan Rossiter, Tru H. Cao, Trevor P. Martin, James F. Baldwin:
Object-oriented Modelling with Words. FUZZ-IEEE 2001: 59-62 - [c15]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
- [j11]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) - [c14]Jim F. Baldwin, Tru H. Cao, Trevor P. Martin, Jonathan M. Rossiter:
Towards soft computing object-oriented logic programming. FUZZ-IEEE 2000: 768-773 - [c13]James F. Baldwin, Trevor P. Martin, Aimilia Tzanavari:
User Modeling Using Conceptual Graphs for Intelligent Agents. ICCS 2000: 193-206 - [c12]James F. Baldwin, Trevor P. Martin, Christiane Ponsan:
Semantic Discrimination Analysis for Feature Selection. SAC (1) 2000: 519-523 - [c11]Trevor P. Martin, James F. Baldwin:
Soft Computing for Intelligent Knowledge-Based Systems. Intelligent Systems and Soft Computing 2000: 161-187 - [c10]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
- [j10]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) - [j9]Jim F. Baldwin, Jonathan Lawry, Trevor P. Martin:
A mass assignment method for prototype induction. Int. J. Intell. Syst. 14(10): 1041-1070 (1999) - [c9]James F. Baldwin, Trevor P. Martin, Mehreen Saeed:
Automatic computer lip-reading using fuzzy set theory. AVSP 1999: 14 - [c8]James G. Shanahan, Barry T. Thomas, Majid Mirmehdi, Trevor P. Martin, James F. Baldwin:
Road Recognition Using Fuzzy Classifiers. BMVC 1999: 1-11 - [c7]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
- [j8]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) - [j7]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
- [j6]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) - [c6]James F. Baldwin, Trevor P. Martin:
Basic Concepts of a Fuzzy Logic Data Browser with Applications. Software Agents and Soft Computing 1997: 211-241 - [c5]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 - [c4]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 - [e1]Trevor P. Martin, Anca L. Ralescu:
Fuzzy Logic in Artificial Intelligence, Towards Intelligent Systems, IJCAI'95 Workshop, Montréal, Canada, August 19-21, 1995, Selected Papers. Lecture Notes in Computer Science 1188, Springer 1997, ISBN 3-540-62474-0 [contents] - 1996
- [j5]Jim F. Baldwin, R. M. Gooch, Trevor P. Martin:
Fuzzy processing of hydrophone sounds. Fuzzy Sets Syst. 77(1): 35-47 (1996) - [j4]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) - 1995
- [j3]James F. Baldwin, Trevor P. Martin, Athena Tocatlidou:
Uncertainty management in radioactive waste repository site assessment. Fuzzy Sets Syst. 74(1): 81-91 (1995) - [j2]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) - [c3]James F. Baldwin, Trevor P. Martin:
Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser. Fuzzy Logic in Artificial Intelligence 1995: 81-100 - 1993
- [j1]James F. Baldwin, Trevor P. Martin:
From Fuzzy Databases to Intelligent Manual Using Fril. J. Intell. Inf. Syst. 2(4): 365-395 (1993) - [c2]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 - 1990
- [c1]Trevor P. Martin, James F. Baldwin:
An Abstract Mechanism for Handling Uncertainty. IPMU 1990: 126-135
Coauthor Index
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