Publications

Journal Articles

  1. S Miller, C Wagner, U Aickelin, JM Garibaldi; "Modelling cyber-security experts' decision making processes using aggregation operators", Computers & Security 62, 229–245, 2016.
  2. WJF Green, G Ball, G Hulman, C Johnson, G Van Schalwyk, HL Ratan, D Soria, JM Garibaldi, R Parkinson, J Hulman, R Rees, DG Powe; “KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach”, British Journal of Cancer, 2016.
  3. AR Green, D Soria, DG Powe, CC Nolan, M Aleskandarany, MA Szász, AM Tőkés, GR Ball, JM Garibaldi, EA Rakha, J Kulka, IO Ellis; “Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer”, Breast cancer research and treatment 157 (1), 65-75, 2016.
  4. J Sun, JM Garibaldi, Y Zhang, A Al-Shawabkeh; “A multi-cycled sequential memetic computing approach for constrained optimisation”, Information Sciences 340, 175-90, 2016.
  5. AR Green, D Soria, J Stephen, DG Powe, CC Nolan, I Kunkler, J Thomas, GR Kerr, W Jack, D Cameron, T Piper, GR Ball, JM Garibaldi, EA Rakha, J Bartlett, IO Ellis; “Nottingham prognostic index plus: validation of a clinical decision making tool in breast cancer in an independent series”, The Journal of Pathology: Clinical Research 2 (1), 32-40, 2016.
  6. H Yang, JM Garibaldi, “A hybrid model for automatic identification of risk factors for heart disease”, Journal of biomedical informatics 58, S171-S182, 2015.
  7. H Yang, JM Garibaldi; “Automatic detection of protected health information from clinic narratives”, Journal of biomedical informatics 58, S30-S38, 2015.
  8. L Li, JM Garibaldi, D He; “Leaf classification using multiple feature analysis based on semi-supervised clustering”, Journal of Intelligent & Fuzzy Systems 29 (4), 1465-1477, 2015.
  9. L Li, JM Garibaldi, D He, M Wang; “Semi-Supervised Fuzzy Clustering with Feature Discrimination”, PloS one 10(9), e0131160, 2015.
  10. JM Reps, JM Garibaldi, U Aickelin, JE Gibson, RB Hubbard; “A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations”, Journal of biomedical informatics 56, 356-368, 2015.
  11. C Wagner, S Miller, JM Garibaldi, DT Anderson, TC Havens; “From interval-valued data to general type-2 fuzzy sets”, IEEE Transactions on Fuzzy Systems 23(2), 248-269, 2015.
  12. GP Figueredo, PO Siebers, U Aickelin, A Whitbrook, JM Garibaldi; “Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence”, PloS one 10 (3), e0118359, 2015.
  13. DTC Lai, JM Garibaldi, D Soria, CM Roadknight; “A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-Means”, Central European Journal of Operations Research 22 (3), 475-499, 2014.
  14. DT Ho, JM Garibaldi; “Context-Dependent Fuzzy Systems With Application to Time-Series Prediction”, IEEE Transactions on Fuzzy Systems 22 (4), 778-790, 2014.
  15. EA Rakha, D Soria, AR Green, C Lemetre, DG Powe, CC Nolan, JM Garibaldi, G Ball, IO Ellis; “Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer”, British journal of cancer 110 (7), 1688-1697, 2014.
  16. JM Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard; “Signalling paediatric side effects using an ensemble of simple study designs”, Drug safety 37(3), 163-70, 2014.
  17. JM Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard; “A novel semi-supervised algorithm for rare prescription side effect discovery”, IEEE journal of biomedical and health informatics 18 (2), 537-547, 2014.
  18. JL Richens, KA Vere, RA Light, D Soria, J Garibaldi, AD Smith, D Warden, G Wilcock, N Bajaj, K Morgan, P O’Shea; “Practical detection of a definitive biomarker panel for Alzheimer’s disease; comparisons between matched plasma and cerebrospinal fluid”, International journal of molecular epidemiology and genetics 5 (2), 53, 2014.
  19. JM Reps, JM Garibaldi, U Aickelin, D Soria, J Gibson, R Hubbard; “Comparison of algorithms that detect drug side effects using electronic healthcare databases”, Soft Computing 17 (12), 2381-2397, 2013.
  20. AR Green, DG Powe, EA Rakha, D Soria, C Lemetre, CC Nolan, FFT Barros, RD Macmillan, JM Garibaldi, GR Ball, IO Ellis; “Identification of key clinical phenotypes of breast cancer using a reduced panel of protein biomarkers”, British journal of cancer 109 (7), 1886-1894, 2013.
  21. D Soria, JM Garibaldi, AR Green, DG Powe, CC Nolan, C Lemetre, GR Ball, IO Ellis; “A quantifier-based fuzzy classification system for breast cancer patients”, Artificial intelligence in medicine 58 (3), 175-184, 2013.
  22. KA Rasmani, NA Shahari, JM Garibaldi, Q Shen; “Practicality issues in using fuzzy approaches for aggregating students’ academic performance”, Procedia-Social and Behavioral Sciences 83, 398-402, 2013.
  23. AT Alshareeda, D Soria, JM Garibaldi, E Rakha, C Nolan, IO Ellis, AR Green; “Characteristics of basal cytokeratin expression in breast cancer”, Breast cancer research and treatment 139 (1), 23-37, 2013.
  24. BM Syed, AR Green, EC Paish, D Soria, J Garibaldi, L Morgan, DAL Morgan, IO Ellis, KL Cheung; “Biology of primary breast cancer in older women treated by surgery: with correlation with long-term clinical outcome and comparison with their younger counterparts”, British journal of cancer 108 (5), 1042-1051, 2013.
  25. J Sun, JM Garibaldi, N Krasnogor, Q Zhang; “An intelligent multi-restart memetic algorithm for box constrained global optimisation”, Evolutionary computation 21 (1), 107-147, 2013.
  26. DTC Lai, JM Garibaldi; “A preliminary study on automatic breast cancer data classification using semi-supervised fuzzy c-means”, International Journal of Biomedical Engineering and Technology 13 (4), 303-322, 2013.
  27. AF Idris, A Green, I Ellis, M George, J Garibaldi; “Using Fourier-Transformed Infrared (Ftir) Spectroscopic Imaging And Principal Component Analysis-Fuzzy C-Means (Pca-Fcm) For Improvement On Breast Cancer Prognosis”, Annals of oncology 24 (suppl_3), 2013.
  28. BM Syed, AR Green, D Soria, EC Paish, J Garibaldi, DAL Morgan, IO Ellis, ...; “Novel biological features of early operable primary breast cancer in older women—Based on molecular characterisation using partitional clustering”, Journal of Geriatric Oncology 3, S36-S37, 2012.
  29. J Sun, JM Garibaldi, K Kenobi; “Robust Bayesian Clustering for Replicated Gene Expression Data”, IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (5), 2012.
  30. S Miller, M Gongora, J Garibaldi, R John; “Interval type-2 fuzzy modelling and stochastic search for real-world inventory management”, Soft Computing 16 (8), 1447-1459, 2012.
  31. E Glaab, J Bacardit, JM Garibaldi, N Krasnogor; “Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data”, PloS one 7 (7), e39932, 2012.
  32. M Mysara, M Elhefnawi, JM Garibaldi; “MysiRNA: Improving siRNA efficacy prediction using a machine-learning model combining multi-tools and whole stacking energy (ΔG)”, Journal of biomedical informatics 45 (3), 528-534, 2012.
  33. JM Garibaldi, SM Zhou, XY Wang, RI John, IO Ellis; “Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models”, Journal of biomedical informatics 45 (3), 447-459, 2012.
  34. LR Band, DM Wells, A Larrieu, J Sun, AM Middleton, AP French, G Brunoud, EM Sato, MH Wilson, B Péret, M Oliva, R Swarup, I Sairanen, G Parry, K Ljung, T Beeckman, JM Garibaldi, M Estelle, MR Owen, K Vissenberg, TC Hodgman, TP Pridmore, JR King, T Vernoux, MJ Bennett “Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism”, Proceedings of the National Academy of Sciences 109 (12), 4668-4673, 2012.
  35. J Sun, JM Garibaldi; “A comparative study of novel robust clustering algorithms”, Intelligent Data Analysis 16 (6), 969-992, 2012.
  36. J Sun, JM Garibaldi, C Hodgman; “Parameter estimation using metaheuristics in systems biology: a comprehensive review”, IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 185-202, 2012.
  37. Mysara M, Garibaldi JM, ElHefnawi M; “MysiRNA-Designer: a Workflow for Efficient siRNA Design”, PLoS ONE, 2011; http://dx.plos.org/10.1371/journal.pone.0025642
  38. Zhou SM, John RI, Chiclana F, Garibaldi, JM, “Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments”, IEEE Transactions on Knowledge and Data Engineering, 23(10): 1455-68, 2011.
  39. Soria D, Garibaldi JM, Ambrogi F, Biganzoli EM, Ellis IO; “Non-Parametric Version of the Naive Bayes Classifier”, Knowledge-Based Systems, 24(6): 775-784, 2011.
  40. Biganzoli E, Coradini D, Ambrogi F, Garibaldi JM, Lisboa PJG, Soria D, Green AR, Pedriali M, Piantelli M, Querzoli P, Demicheli R, Boracchi P; “p53 Status Identifies Two Subgroups of Triple-negative Breast Cancers with Distinct Biological Features”, Japanese Journal of Clinical Oncology, 41(2), 172-179, 2011.
  41. Habashy HO, Powe DG, Glaab E, Ball G, Spiteri I, Krasnogor N, Garibaldi JM, Rakha EA, Green AR, Caldas C, Ellis IO; “RERG (Ras-like, oestrogen-regulated, growth-inhibitor) Expression in Breast Cancer: A Marker of ER-Positive Luminal-like Subtype”, Breast Cancer Research and Treatment, 128(2): 315-326, 2010.
  42. Sun J, Kaban A, Garibaldi JM; “Robust Mixture Modeling Using Pearson Type VII Distribution”, Pattern Recognition Letters, 31(16): 2447-54, 2010.
  43. Whitbrook AM, Aickelin U, Garibaldi JM; “Real-world Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms”,Evolutionary Intelligence, 3(3),123-136, 2010.
  44. Glaab E, Garibaldi JM, Krasnogor N; “VRMLGen: An R-package for 3D Data Visualization on the Web”, Journal of Statistical Software, 36(8):1-18, 2010.
  45. Whitbrook AM, Aickelin A, Garibaldi JM; “Two-Timescale Learning Using Idiotypic Behaviour Mediation For A Navigating Mobile Robot”, Applied Soft Computing, 10(3), 876-887, 2010.
  46. Soria D, Garibaldi JM, Ambrogi F, Green AR, Powe DG, Rakha EA, Macmillan RD, Blamey RW, Ball G, Lisboa PJG, Etchells TA, Boracchi P, Biganzoli E, Ellis IO; “A Methodology to Identify Consensus Classes from Clustering Algorithms Applied to Immunohistochemical Data from Breast Cancer Patients”, Computers in Biology and Medicine, 40:318-330, 2010.
  47. Glaab E, Garibaldi JM, Krasnogor N; “ArrayMining: A Modular Web-Application for Microarray Analysis Combining Ensemble and Consensus Methods with Cross-Study Normalization”, BMC Bioinformatics, 10:358, doi:10.1186/1471-2105-10-358, 2009.
  48. Jarman IH, Etchells TA, Bacciu D, Garibaldi JM, Ellis IO, Lisboa PJG; “Clustering of Protein Expression Data: A Benchmark of Statistical and Neural Approaches”, Soft Computing, 15(8): 1459-69, 2010.
  49. Widera P, Garibaldi JM, Krasnogor N; “GP Challenge: Evolving The Energy Function For Protein Structure Prediction”, Genetic Programming and Evolvable Machines, 11(1):61-88, 2010.
  50. Zhou SM, John RI, Chiclana F, Garibaldi JM; “On Aggregating Uncertain Information by Type-2 OWA Operators for Soft Decision Making”, International Journal of Intelligent Systems, 25: 540-558, 2010.
  51. Whitbrook AM, Aickelin A, Garibaldi JM; “The Use of Probabilistic Systems to Mimic the Behaviour of Idiotypic AIS Robot Controllers”, Journal of Systemics, Cybernetics and Informatics, 7(6), 72-79, 2009.
  52. Soria D, Ambrogi F, Boracchi P, Raimondi E, Garibaldi JM, Biganzoli E; “Cancer Profiles by Affinity Propagation”, International Journal of Knowledge Engineering and Soft Data Paradigms, 1(3):195-215, 2009.
  53. Asmuni H, Burke EK, Garibaldi JM, McCollum B, Parkes AJ; “An Investigation of Fuzzy Multiple Heuristic Orderings in the Construction of University Examination Timetables”, Computers and Operations Research, 36(4):981-1001, 2009.
  54. Baxter JL, Burke EK, Garibaldi JM, Norman M; “Shared Potential Fields and their place in a Multi-robot Co-ordination Taxonomy”, Robotics and Autonomous Systems, 57(10):1048-1055, 2009.
  55. Li L, Garibaldi JM, Krasnogor N; “Automated Self-Assembly Programming Paradigm: The Impact of Network Topology”, International Journal of Intelligent Systems, 24(7):793-817, 2009.
  56. Jain P, Garibaldi JM, Hirst JD; “Supervised Machine Learning Algorithms For Protein Structure Classification”, Computational Biology and Chemistry, 33(3):216-223, 2009.
  57. Zhou SM, Garibaldi JM, John RI, Chiclana F; “On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection”, IEEE Transactions on Fuzzy Systems, 17(3):654-667, 2009.
  58. Elsheikh SE, Green AR, Rakha EA, Powe DG, Ahmed RA, Collins HM, Soria D, Garibaldi JM, Paish CE, Ammar AA, Grainge MJ, Ball GR, Abdelghany MK, Martinez-Pomares L, Heery DM, Ellis IO; “Global Histone Modifications in Breast Cancer Correlate with Tumor Phenotypes, Prognostic Factors, and Patient Outcome”, Cancer Research, 69(9):3802-3809, 2009.
  59. Garibaldi JM, Jaroszewski M, Musikasuwan S; “Non-Stationary Fuzzy Sets”, IEEE Transactions on Fuzzy Systems, 16(4):1072-1086, 2008.
  60. Togelius J, Lucas S, Thang HD, Garibaldi JM, Nakashima T, Tan CH, Elhanany I, Berant S, Hingston P, MacCallum RM, Haferlach T, Gowrisankar A, Burrow P; “The 2007 IEEE CEC Simulated Car Racing Competition”, Genetic Programming and Evolvable Machines, 9(4):295-329, 2008.
  61. Oakley MT, Barthel D, Bykov Y, Garibaldi JM, Burke EK, Krasnogor N, Hirst JD; “Search Strategies In Structural Bioinformatics”, Current Protein and Peptide Science, 9(3):260-274, 2008.
  62. John RI, Zhou SM, Garibaldi JM, Chiclana F; “Automated Group Decision Making Support Systems Under Uncertainty: Trends and Future Research”, International Journal of Computational Intelligence Research, 4(4): 357–371, 2008.
  63. Oates R, Kendall G, Garibaldi JM; “Frequency Analysis for Dendritic Cell Population Tuning”, Evolutionary Intelligence, 1, 145-157, 2008.
  64. Zhou SM, Garibaldi JM, John RI, Chiclana F; “A Practical Approach To Type-1 OWA Operation For Soft Decision Making”, Computational Intelligence In Decision And Control, 1: 507-12, 2008.
  65. Zhou SM, Chiclana F, John RI, Garibaldi JM; “Type-1 OWA Operators For Aggregating Uncertain Information With Uncertain Weights Induced By Type-2 Linguistic Quantifiers”, Fuzzy Sets and Systems, 159(24):3281-3296, 2008.
  66. Whitbrook AM, Aickelin U, Garibaldi JM; “Idiotypic Immune Networks in Mobile-Robot Control”, IEEE Transactions on Systems, Man & Cybernetics - Part B, 37: 1581-98, 2007.
  67. Wang XY, Garibaldi JM, Bird B, George MW; “A Novel Fuzzy Clustering Algorithm for the Analysis of Axillary Lymph Node Tissue Sections”, Applied Intelligence, 27: 237-248, 2007.
  68. Baxter JL, Burke EK, Garibaldi JM, Norman M; “Multi-Robot Search And Rescue: A Potential Field Based Approach”, Autonomous Robots And Agents, 76: 9-16, 2007.
  69. Garibaldi JM, Ozen T; “Uncertain Fuzzy Reasoning: A Case Study in Modelling Expert Decision Making”, IEEE Transactions on Fuzzy Systems, 15(1): 16-30, 2007.
  70. Innocent PR, John RI, Garibaldi JM; “Fuzzy Methods for Medical Diagnosis”, Applied Artificial Intelligence, 19(1): 69-98, 2005.
  71. Oakley MT, Garibaldi JM, Hirst JD; “Lattice Models of Peptide Aggregation: Evaluation of Conformational Search Algorithms”, Journal of Computational Chemistry, 26: 1638-1646, 2005.
  72. Wang XY, Garibaldi JM; “Simulated Annealing Fuzzy Clustering in Cancer Diagnosis”, Informatica, 29(1): 61-70, 2005.
  73. Hirschmüller H, Innocent PR, Garibaldi JM; “Real-Time Correlation-Based Stereo Vision with Reduced Border Errors”, in International Journal of Computer Vision, 47(1/2/3): 229-246, 2002.
  74. Innocent PR, John RI, Garibaldi JM; “The Fuzzy Medical Group in the Centre for Computational Intelligence”, in Artificial Intelligence in Medicine, 21(1): 163-170, 2001.
  75. Tilbury JB, Van-Eetvelt PWJ, Garibaldi JM, Curnow JSH, Ifeachor EC; “Receiver Operator Characteristic Analysis for Intelligent Medical Systems - A New Approach for Finding Confidence Intervals”, in IEEE Transactions on Biomedical Engineering, 47(7): 952-963, 2000.
  76. Garibaldi JM, Westgate JA, Ifeachor EC; “The Evaluation of an Expert System for the Analysis of Umbilical Cord Blood”, in Artificial Intelligence in Medicine, 17(2): 109-130, 1999.
  77. Garibaldi JM, Ifeachor EC; “Application of Simulated Annealing Fuzzy Model Tuning to Umbilical Cord Acid-Base Interpretation”, in IEEE Transactions on Fuzzy Systems, 7(1): 72-84, 1999.
  78. Garibaldi JM, Westgate JA, Ifeachor EC, Greene KR; “The Development and Implementation of an Expert System for the Analysis of Umbilical Cord Blood”, in Artificial Intelligence in Medicine, 10(2): 129-144, 1997.
  79. Harris M, Beckley SL, Garibaldi JM, Keith RDF, Greene KR; “Umbilical Cord Blood Gas Analysis at the Time of Delivery”, in Midwifery, 12(3): 146-150, 1996.
  80. Keith RDF, Beckley SL, Garibaldi JM, Westgate JA, Ifeachor EC, Greene KR; “ Multicentre Validation of an Intelligent System for Managing Labour”, in Expert Systems with Applications, 11(4): 537-541, 1996.
  81. Keith RDF, Beckley SL, Garibaldi JM, Westgate JA, Ifeachor EC, Greene KR; “A Multicentre Comparative Study of 17 Experts and an Intelligent Computer System for Managing Labour using the Cardiotocogram”, in British Journal of Obstetrics and Gynaecology, 102: 688-700, 1995.
  82. Westgate JA, Garibaldi JM, Greene KR; “Umbilical Cord Blood Gas Analysis at Delivery: A Time for Quality Data”, in British Journal of Obstetrics and Gynaecology, 101: 1054-63, 1994.

Books and Book Chapters

  1. S Miller, C Wagner, J Garibaldi; “Applications of Computational Intelligence to Decision-Making: Modeling Human Reasoning/Agreement”, Handbook On Computational Intelligence: Volume 2: Evolutionary Computation, 2016.
  2. Zhou S-M, Chiclana F, John RI, Garibaldi JM; "Fuzzification of the OWA Operators for Aggregating Uncertain Information with Uncertain Weights", in Springer-Verlag, 2010
  3. Fiaschi, L; Garibaldi, JM; Krasnogor, N, “Multiple-Test Analysis of Sequences of SNPs for Determining Susceptibility to Pre-eclampsia”, in Frontiers in Artificial Intelligence and Applications, Masulli, M; Micheli, A; Sperduti, A (Eds), pp. 141-154, 2008.
  4. Wang, X.Y.; Garibaldi, JM; Bird, B; George, MW; “Novel Developments in Fuzzy Clustering for the Classification of Cancerous Cells using FTIR Spectroscopy”, in Advances in Fuzzy Clustering and its Applications, Valente de Oliveira, J; Pedrycz, W (Eds), Wiley, pp. 405-425, 2007.
  5. Garibaldi J. M., “Fuzzy Expert Systems”, In Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods (Gabrys B., Leiviska K., and Strackeljan J., Eds.). pp. 105-132, Springer, 2005.
  6. Garibaldi, J.M. and Ifeachor, E.C. “The Development of a Fuzzy Expert System for the Analysis of Umbilical Cord Blood”, in Fuzzy Systems in Medicine, Szczepaniak, P. and Lisboa, P.J.G. and Kacprzyk, J. (eds.), pp. 652-668, Springer-Verlag, 2000.
  7. Garibaldi, J.M. “Intelligent Techniques for Handling Uncertainty in the Assessment of Neonatal Outcome”, Ph.D. Thesis, University of Plymouth, 1997.

Refereed Conference Articles

  1. C Wagner, A Pourabdollah, J McCulloch, R John, JM Garibaldi; “A similarity-based inference engine for non-singleton fuzzy logic systems”, Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on, 2016.
  2. Chen, R John, J Twycross, JM Garibaldi; “An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models”, Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on, 2016.
  3. Aladi, C Wagner, JM Garibaldi; “An Investigation of Uncertainty Representation in Higher-Order Fuzzy Logic Systems” Proceedings of the Eighth Saudi Students Conference in the UK, 213, 2015.
  4. Aladi, C Wagner, JM Garibaldi; “A Simplified Method of FOU Design Utilising Simulated Annealing”, Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on, 2015.
  5. Madi, JM Garibaldi, C Wagner; “A comparison between two types of Fuzzy TOPSIS Method”, Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on, 2015.
  6. Figueredo, PR Quinlan, M Mesgarpour, JM Garibaldi, RI John; “A Data Analysis Framework to Rank HGV Drivers”, 2015 IEEE 18th International Conference on Intelligent Transportation, 2015.
  7. Figueredo, C Wagner, JM Garibaldi, U Aickelin; “Adaptive data communication interface: a user-centric visual data interpretation framework”, Trustcom/ BigDataSE/ ISPA, 2015 IEEE, 128-135, 2015.
  8. Aladi, C Wagner, JM Garibaldi, A Pourabdollah; “On transitioning from type-1 to interval type-2 fuzzy logic systems”, Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on, 1-8, 2015.
  9. Salgado, CS Azevedo, J Garibaldi, SM Vieira; “Ensemble fuzzy classifiers design using weighted aggregation criteria”, Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on, 1-5, 2015.
  10. R Quinlan, S Gardner, M Groves, R Emes, J Garibaldi; “A Data-Centric Strategy for Modern Biobanking”, Biobanking in the 21st Century, 165-169, 2015.
  11. Hamdan, JM Garibaldi; “Automatic Generation of ANFIS Rules in Modelling Breast Cancer Survival”, Computer Assisted System in Health (CASH), 2014 International Conference on, 2014.
  12. Garibaldi, E Ferguson, U Aickelin; “A data mining framework to model consumer indebtedness with psychological factors”, 2014 IEEE International Conference on Data Mining Workshop, 150-157, 2014.
  13. Reps, U Aickelin, J Garibaldi, C Damski; “Personalising Mobile Advertising Based on Users' Installed Apps”, 2014 IEEE International Conference on Data Mining Workshop, 338-345, 2014.
  14. H Aladi, C Wagner, JM Garibaldi; “Type-1 or interval type-2 fuzzy logic systems—on the relationship of the amount of uncertainty and FOU size”, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2360-2367, 2014.
  15. Naqvi, S Miller, JM Garibaldi; “A general type-II similarity based model for breast cancer grading with FTIR spectral data” , 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 834-841, 2014.
  16. M Garibaldi, C Wagner; “L-fuzzy inference”, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 583-590, 2014.
  17. Miller, C Wagner, JM Garibaldi; “Exploring statistical attributes obtained from fuzzy agreement models”, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 792-799, 2014.
  18. Dong, J Zhang, JM Garibaldi; “Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series”, 2014 International Joint Conference on Neural Networks (IJCNN), 149-156, 2014.
  19. Ladas, J Garibaldi, R Scarpel, U Aickelin; “Augmented neural networks for modelling consumer indebtness”, 2014 International Joint Conference on Neural Networks (IJCNN), 3086-3093, 2014.
  20. M Reps, U Aickelin, JM Garibaldi; “Tuning a multiple classifier system for side effect discovery using genetic algorithms”, 2014 IEEE Congress on Evolutionary Computation (CEC), 910-917, 2014.
  21. TC Lai, JM Garibaldi; “Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers”, 2014 International Joint Conference on Neural Networks (IJCNN), 3613-3620, 2014.
  22. TC Lai, JM Garibaldi, J Reps; “Investigating distance metric learning in semi-supervised fuzzy c-means clustering”, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1817-1824, 2014.
  23. SK Miles, J Greensmith, H Schnädelbach, JM Garibaldi; “Towards a method of identifying the causes of poor user experience on websites”, 2013 13th UK Workshop on Computational Intelligence (UKCI), 258-265, 2013.
  24. Benatar, U Aickelin, JM Garibaldi; “Interval type-2 fuzzy logic based robotic sailing”, Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-8, 2013.
  25. T Ho, JM Garibaldi; “An improved optimisation framework for fuzzy time-series prediction”, Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-8, 2013.
  26. Tsagris, JM Garibaldi; “Modelling distributions of the temporal membership grades for non-stationary fuzzy sets”, Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-8, 2013.
  27. Wagner, S Miller, JM Garibaldi; “Similarity based applications for data-driven concept and word models based on type-1 and type-2 fuzzy sets”, Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-9, 2013.
  28. TC Lai, JM Garibaldi; “Improving semi-supervised fuzzy c-means classification of breast cancer data using feature selection”, Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-8, 2013.
  29. Miller, JM Garibaldi, S Appleby; “Evolving OWA operators for cyber security decision making problems”, Computational Intelligence in Cyber Security (CICS), 2013 IEEE Symposium on, 2013.
  30. Helmi, JM Garibaldi; “Improving SVM and TSVM with Multiclass Accordance Sampling for Breast Cancer”, Proceedings of the International Conference on Bioinformatics, 2013.
  31. Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard; “Comparing data-mining algorithms developed for longitudinal observational databases”, 2012 12th UK Workshop on Computational Intelligence (UKCI), 1-8, 2012.
  32. TC Lai, JM Garibaldi; “Investigating distance metrics in semi-supervised fuzzy c-means for breast cancer classification”, International Meeting on Computational Intelligence Methods for, 2012.
  33. Collard, JM Garibaldi; “Measuring healthcare decision aid effectiveness”, Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on, 1-6, 2012.
  34. T Ho, JM Garibaldi; “Context modelling in fuzzy systems”, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 1-7, 2012.
  35. Hamdan, JM Garibaldi; “A framework for automatic modelling of survival using fuzzy inference”, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 1-8, 2012.
  36. Benatar, U Aickelin, JM Garibaldi; “An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control”, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 1-8, 2012.
  37. Naim, H Hagras, JM Garibaldi; “A fuzzy logic based Multi-criteria Group Decision Making system for the assesement of umbilical cord acid-base balance”, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 1-8, 2012.
  38. Miller, C Wagner, JM Garibaldi, S Appleby; “Constructing general type-2 fuzzy sets from interval-valued data”, Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, 1-8, 2012.
  39. Naqvi, JM Garibaldi; “An Overview of the Application of Fuzzy Inference System for the Automation of Breast Cancer Grading with Spectral Data”, World Academy of Science, Engineering and Technology, International Journal”, 2012.
  40. Reps, JM Garibaldi, U Aickelin, D Soria, JE Gibson, RB Hubbard; “Discovering sequential patterns in a UK general practice database”, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and, 2012.
  41. TC Lai, JM Garibaldi; “Breast cancer data classification using semi-supervised fuzzy c-means”, Proceedings of advances in medical signal and information, 2012.
  42. Helmi, DTC Lai, JM Garibaldi; “Semi-supervised techniques in breast cancer classification”, 12th Annual Workshop on Computational Intelligence (UKCI), 2012.
  43. AKS Mohamadali, JM Garibaldi; “Understanding and Addressing the Fit between User, Technology and Organization in Evaluating user Acceptance of Healthcare Technology”, HEALTHINF, 119-124, 2012.
  44. AKS Mohamadali, JM Garibaldi; “Including Explicitly the Question of ‘Which' in Evaluation Studies”, HEALTHINF, 341-344, 2012.
  45. Mohamadali NAKS, Garibaldi JM; “Modelling Students’ Perception on Factors Influence Acceptance of Research Related Software Using Multi-Criteria Decision Analysis (MCDA) Methods”; UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester, UK; 132-137; 2011
  46. Mohamadali NAKS, Garibaldi JM; “Comparing User Acceptance Factors between Research Software and Medical Software using AHP and Fuzzy AHP”; UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester, UK; 138-143; 2011
  47. Reps J, Feyereisl J, Garibaldi JM, Aickelin U, Gibson JE, Hubbard RB; “Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database”; UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester, UK; 167-721; 2011
  48. Helmi H, Garibaldi JM, Aickelin U; “Examining the Classification Accuracy of TSVMs with Feature Selection in Comparison with the GLAD Algorithm”; UKCI 2011, the 11th Annual Workshop on Computational Intelligence, Manchester, UK; 7-12; 2011
  49. Lai DTC, Garibaldi JM; A Comparison of Distance-based Semi-Supervised Fuzzy c-Means Clustering Algorithms; 2011 IEEE International Conference on Fuzzy Systems; 1580 - 1586; FUZZ-IEEE, Taipei, Taiwan, July 2011
  50. Benatar N, Aickelin A, Garibaldi JM; A Comparison of Non-stationary, Type-2 and Dual Surface Fuzzy Control; 2011 IEEE International Conference on Fuzzy Systems; 1193-1200; FUZZ-IEEE, Taipei, Taiwan, July 2011
  51. Wagner C, Miller S, Garibaldi JM; A Fuzzy Toolbox for the R Programming Language; 2011 IEEE International Conference on Fuzzy Systems; 1186-1192; FUZZ-IEEE, Taipei, Taiwan, July 2011
  52. M Syed, AR Green, D Soria, EC Paish, JM Garibaldi, DAL Morgan, IO Ellis; KL Cheung; “Molecular characterisation of primary breast cancer in older women using partitional clustering and correlation with long term clinical outcome”, J Clin Oncol 2011, ASCO Annual Meeting Proceedings I 29, 15S:10549, Paris, November 2011
  53. Garibaldi, JM; Guadarrama, S; “Constrained Type-2 Fuzzy Sets”, Proceedings of the IEEE Symposium Series on Computational Intelligence: Advances in Type-2 Fuzzy Logic Systems, Paris, France; 2011
  54. Garibaldi, JM; “Alternative Forms of Non-standard Fuzzy Sets: A Discussion Paper,” in Workshop on Type-2 Fuzzy Logic: State of the Art and Future Directions, London, UK; June 2010.
  55. Whitbrook, A; Aickelin, A; Garibaldi, JM; “The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms”; Proceedings of the 9th International Conference on Artificial Evolution (EA 09), LNCS 5975, Strasbourg, France; 122-133; 2010
  56. Birkin, P; Garibaldi, JM; “A Novel Dual-Surface Type-2 Controller for Micro Robots”; ; WCCI 2010 IEEE World Congress on Computational Intelligence, July 18-23, Barcelona, Spain; 1-8; 2010
  57. Soria, D; Garibaldi, JM; “A Novel Framework to Elucidate Core Classes in a Dataset”; WCCI 2010 IEEE World Congress on Computational Intelligence, July 18-23, Barcelona, Spain; 533-540; 2010
  58. Hamdan, H; Garibaldi, JM; “Adaptive Neuro-Fuzzy Inference System (ANFIS) in Modelling Breast Cancer Survival”; 2010 IEEE International Conference on Fuzzy System (FUZZ-IEEE); 573-580; 2010
  59. Sun, J; Kaban, A; Garibaldi, JM; “Robust Mixture Modelling using the Pearson Type VII Distribution”; Proceedings of the 2010 IEEE Intenational Joint Conference on Neural Network; 2010
  60. Sun, J; Garibaldi, JM; “A Novel Memetic Algorithm for Constrained Optimization”; Proceedings of the 2010 IEEE Congress on Evolutionary Computation; 2010
  61. Garibaldi, JM, Soria, D; Rasmani, KA; “Consensus Clustering and Fuzzy Classification for Breast Cancer Prognosis”; 24th European Conference on Modelling and Simulation, June 1st - 4th, 2010 - Kuala Lumpur, Malaysia; 2010
  62. Azizah, N; Garibaldi, JM; A Novel Evaluation Model of User Acceptance of Software Technology in Healthcare Sector; Proceeding of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies, Valencia, Spain; ; 392-397; 2010
  63. Glaab, E; Garibaldi, JM; Krasnogor, N; “Learning pathway-based decision rules to classify microarray cancer samples”, Proc. of 25th German Conference on Bioinformatics 2010 (GCB 2010)
  64. Whitbrook, A; Aickelin, A; Garibaldi JM; Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems; Proceedings of the 13th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2009, Orlando, USA; 272-278; 2009
  65. Garibaldi JM; Wang XY; “Fuzzy systems in breast cancer treatment decision making”; Proceedings of the 23rd European Conference on Operational Research, Bonn, Germany; 2009
  66. Stibor, T; Oates, R; Kendall, G; Garibaldi, JM; “Geometrical insights into the dendritic cell algorithm”; Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Quebec, Canada, 1275-1282; 2009
  67. Gajjar, PA; Garibaldi, JM; “An Investigation into the Distribution of Membership Grades for Non-Stationary Fuzzy Sets”, Proc. of International Conference on Fuzzy Computation (ICFC 2009), pp. 79-84, Madeira, Portugal, 5-7 October, 2009
  68. Garibaldi, JM, “Fuzzy Techniques for Modelling Uncertainty in Medical Data and Knowledge”, Proc. of Conference of the Italian Statistical Society (SIS 2009), pp. 63-66, Chieta-Pescara, Italy, 23-25 September, 2009.
  69. Soria, D; Ambrogi, F; Boracchi, P; Garibaldi, JM; Biganzoli, E, “Application of Affinity Propagation on a Large Breast Cancer Data Set”, Proc. of 2009 Conference of the Italian Statistical Society (SIS 2009), pp. 531-534, Italy, 23-25 September, 2009.
  70. Hamdan, H; Garibaldi, JM, “Modelling Survival Prediction in Medical Data”, Proc. of 9th Workshop on UK Computational Intelligence (UKCI 2009), Nottingham, UK, 6-9 September 2009.
  71. Azizah, N; Garibaldi, JM, “A Review of Selected Multi-Criteria Decision Analysis Techniques and Applications”, Proc. of 9th Workshop on UK Computational Intelligence (UKCI 2009), Nottingham, UK, 6-9 September 2009.
  72. Naqvi, S; Garibaldi, JM, “An Investigation into the use of Fuzzy C-Means Clustering of Fourier Transform Infrared Microscopic Data for the Automation of Breast Cancer Grading”, Proc. of 9th Workshop on UK Computational Intelligence (UKCI 2009), Nottingham, UK, 6-9 September 2009.
  73. Lisboa, P; Jarman, IH; Etchells, TA; Bacciu, D; Garibaldi, JM, “Model-based and model-free clustering: a case study of protein expression data for breast cancer”, Proc. of 9th Workshop on UK Computational Intelligence (UKCI 2009), Nottingham, UK, 6-9 September 2009.
  74. Zhou, SM; Chiclana, F; John, RI; Garibaldi, JM; “Fuzzification of the OWA Operators in Aggregating Uncertain Information”, Recent Developments in the Ordered Weighted Averaging Operators-theory and Practice, 2009
  75. Azizah, N; Garibaldi, JM, “Towards the Development of a Novel Evaluation Framework for Information Systems in the Healthcare Sector”, Proc. of 2nd International Conference on Health Informatics (HealthInf. 2009), Porto, Portugal.
  76. Birkin, P; Garibaldi, JM, “A Comparison of Type-1 and Type-2 Fuzzy Controllers in a Micro-Robot Context”, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jeju Island, Korea, 20-24 August, pp. 1857-1862, 2009
  77. Rasmuni, K; Garibaldi, JM; Shen, Q, “Linguistic Rulesets Extracted from a Quantifier-based Fuzzy Classification System”, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jeju Island, Korea, 20-24 August, pp. 1204-1209, 2009
  78. Zhou, SM; Garibaldi, JM; Chiclana, F; John, RI; Wang, XY; “Type-1 OWA Operator Based Non-Stationary Fuzzy Decision Support Systems for Breast Cancer Treatments”, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jeju Island, Korea, 20-24 August, pp. 175-180, 2009
  79. Wang, XY; Garibaldi, JM; Zhou, SM; John, RI; “Methods of Interpretation of a Non-Stationary Fuzzy System for the Treatment of Breast Cancer”, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jeju Island, Korea, 20-24 August, pp. 1187-1192, 2009
  80. Zhou, SM; Chiclana, F; John, RI; Garibaldi, JM; “On Properties of Type-1 OWA Operators in Aggregating Uncertain Information for Soft Decision Making”, Proc. of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 22-27 June, 2008, Malaga, Spain, , pp. 1368-1375, 2009
  81. Zhou, SM; Chiclana, F; John, RI; Garibaldi, JM; “Type-1 OWA Operators for Aggregating Fuzzy Sets in Decision Making”, Proc. of EUSFLAT International Summer School on Aggregation Operators (AGOP), 9-14 July, Ghent, Belgium, pp. 107-112, 2009
  82. Fiaschi, L; Garibaldi, JM; Krasnogor, N; “A Framework for the Application of Decision Trees to the Analysis of SNPS Data”, CIBCB: 2009 IEEE Symposium on Computational intelligence in Bioinformatics and Computational Biology: pp. 106-113, 2009
  83. Soria, D; Garibaldi, JM; Ambrogi, F; Lisboa, PJG; Boracchi, P; Biganzoli, E, "Clustering Breast Cancer Data by Consensus of Different Validity Indices", Advances in Medical, Signal and Information Processing (MEDSIP) 2008.
  84. Green, AE; Garibaldi, JM; Soria, D; Ambrogi, F; Powe, D; Rakha, E; Macmillan, RD; Blamey, RW; Ball, G; Lisboa, PJG; Etchells, TA; Boracchi, P; Ellis, IO; “Identification of Novel Clinical Phenotypes of Breast Cancer by Immuno-histochemical Analysis”, Laboratory Investigation, 88:142-142, 2008
  85. Soria, D; Garibaldi, JM; Biganzoli, E; Ellis, IO, "A Comparison of Three Different Methods for Classification of Breast Cancer Data", Machine Learning and Applications, 619-624, 2008.
  86. Green, AR; Garibaldi, JM; Soria, D; Ambrogi, F; Powe, D; Rakha, E; Macmillan, RD; Blamey, RW; Ball, G; Lisboa, PJG; Etchells, TA; Boracchi, P; Ellis, IO; “Identification of Novel Clinical Phenotypes of Breast Cancer by Immuno-histochemical Analysis”, Modern Pathology, 21:142-142, 2008
  87. Green, AR; Garibaldi, JM; Soria, D; Ambrogi, F; Ball, G; Lisboa, PJG; Etchells, TA; Boracchi, P; Biganzoli, E; Macmillan, RD; Blamey, RW; Powe, DG; Rakha, EA; Ellis, IO; “Identification and Definition of Novel Clinical Phenotypes of Breast Cancer Through Consensus Derived From Automated Clustering Methods”, Breast Cancer Research, 10:69-69, 2008
  88. Green, A; Garibaldi, JM; Soria, D; Ambrogi, F; Powe, DG; Ball, G; Lisboa, PJG; Boracchi, P; Biganzoli, E; Ellis, IO; “Identification of Key Breast Cancer Phenotypes”, EJC Supplements, 6(7):183-183, 2008
  89. Whitbrook, A; Aickelin, U; Garibaldi, J; “An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots”, Artificial Immune Systems, Proceedings, 5132:266-278, 2008
  90. Bates, R; Kendall, G; Garibaldi, JN; “The Limitations of Frequency Analysis for Dendritic Cell Population Modelling”, Artificial Immune Systems, Proceedings, 5132(-):328-339, 2008
  91. Whitbrook, AM; Aickelin, U; Garibaldi, JM; “Genetic-Algorithm Seeding of Idiotypic Networks for Mobile-Robot Navigation”, ICINCO 2008: Proceedings of the Fifth International Conference on informatics in Control, Automation and Robotics, Vol Ra-1, pp. 5-14, 2008
  92. Zhou, SM; Chiclana, F; John, RI; Garibaldi, JA; “Type-2 OWA Operators - Aggregating Type-2 Fuzzy Sets in Soft Decision Making”, 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vols 1-5, pp. 625-630, 2008
  93. Ho, DT; Garibaldi, JM; “A Novel Fuzzy Inferencing Methodology for Simulated Car Racing”, 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vols 1-5, pp. 1909-1916, 2008
  94. Garibaldi, JM; Jaroszewski, M; “Generalisations of the Concept of a Non-Stationary Fuzzy Set - A Starting Point to a Formal Discussion”, 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vols 1-5, pp. 2315-2321, 2008
  95. Soria, D; Garibaldi, JM; Biganzoli, E; Ellis, IO; “A Comparison of Three Different Methods for Classification of Breast Cancer Data”, Seventh International Conference on Machine Learning and Applications, Proceedings, pp. 619-624, 2008
  96. Zhou, SM; John, RI; Wang, XY; Garibaldi, JM; Ellis, IO; “Compact Fuzzy Rules Induction And Feature Extraction Using SVM With Particle Swarms for Breast Cancer Treatments”, 2008 IEEE Congress on Evolutionary Computation, Vols 1-8, pp. 1469-1475, 2008
  97. Bates, R; Greensmith, J; Aickelin, U; Garibaldi, J; Kendall, G; “The Application of a Dendritic Cell Algorithm to a Robotic Classifier”, Artificial Immune Systems, Proceedings, 4628:204-215, 2007
  98. Green, AR; Garibaldi, JM; Soria, D; Ambrogi, F; Ball, G; Lisboa, PJG; Etchells, TA; Boracchi, P; Biganzoli, E; Macmillan, RD; Blamey, RW; Ellis, IO; “Identification of Sub-Classes of Breast Cancer Through Consensus Derived From Automated Clustering Methods”, EJC Supplements, 5(3):59-59, 2007
  99. Asmuni H., Burke E. K., Garibaldi J. M., and McCollum B., “Determining Rules in Fuzzy Multiple Heuristic Orderings for Constructing Examination Timetables”, in Proceedings of The 3rd Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA 2007), Paris, France, 28-31 August 2007.
  100. Fayad C., Garibaldi J. M., Ouelhadj D., “Fuzzy Grid Scheduling Using Tabu Search”, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 07), pages 1059-1064. London, UK, 23-26 July 2007.
  101. Garibaldi J. M. and Jaroszewski M., “New Concepts Related to Non-Stationary Fuzzy Sets”, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 07), pages 1684-1689. London, UK, 23-26 July 2007.
  102. Zhou S.-H., John R. I., Chiclana F., and Garibaldi J. M., “New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems”, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 07), pages 852-857. London, UK, 23-26 July 2007.
  103. Asmuni H., Burke E. K., Garibaldi J. M., and McCollum B., “A Novel Fuzzy Approach to Evaluate the Quality of Examination Timetabling”, In Selected Papers from the 6th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2006), LNCS 3867, pages 327-346. 
  104. Asmuni H., Burke E. K., Garibaldi J. M., and McCollum B., “A Novel Fuzzy Approach to Evaluate the Quality of Examination Timetabling”, In Proceedings of the 6th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2006), pages 82-102. Brno, Czech Republic, August 30th-September 1st 2006.
  105. Baxter J. L., Burke E. K., Garibaldi J. M., and Norman M., “The Effect of Potential Field Sharing in Multi-Agent Systems”, In Proceedings of the 3rd International Conference on Autonomous Robots and Agents (ICARA 2006), pages 33-38. Palmerston North, New Zealand, 12th-14th December 2006.
  106. Li L., Krasnogor N., and Garibaldi J. M., “Automated Self-Assembly Programming Paradigm: A Particle Swarm Realization”, In Proceedings of the Workshop on Nature Inspired Cooperative Strategies for Optimization, pages 123-134. University of Granada, Granada, Spain, 2006.
  107. Li L., Krasnogor N., and Garibaldi J. M., “Automated Self-Assembly Programming Paradigm: Initial Investigations”, In Proceedings of the Third IEEE International Workshop on Engineering of Autonomic & Autonomous Systems, pages 25-34. IEEE Computer Society, Potsdamn, Germany, 2006.
  108. Musikasuwan S. and Garibaldi J. M., “On Relationships Between Primary Membership Functions and Output Uncertainties in Interval Type-2 and Non-stationary Fuzzy Sets”, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 06), pages 1433-1440. Vancouver, Canada, 16-21 July 2006.
  109. Schoreels C. and Garibaldi J. M., “Comparative study of central decision makers versus groups of evolved agents trading in equity markets”, In Proceedings of the 12th International Conference on Computing in Economics and Finance 2006 (CEF 2006). Limassol, Cyprus, 2006.
  110. Schoreels C. and Garibaldi J. M., “Genetic algorithm evolved agent-based equity trading using Technical Analysis and the Capital Asset Pricing Model”, In Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC), pp. 194-199. Canterbury, UK, 2006.
  111. Asmuni H., Burke E. K., Garibaldi J. M., and McCollum B., “Fuzzy Multiple Heuristic Orderings for Examination Timetabling”, In Selected Papers from Practice and Theory of Automated Timetabling V, Volume 3616, pages 334-353. Springer, 2005.
  112. Asmuni H., Burke E. K., and Garibaldi J. M., “Fuzzy Multiple Heuristic Ordering for Course Timetabling”, In Proceedings of the 5th United Kingdom Workshop on Computational Intelligence (UKCI 2005), pages 302-309. London, UK, 5-7 September 2005.
  113. Baxter J. L., Garibaldi J. M., Burke E. K., and Norman M., “Statistical Analysis in MiroSot”, In Proceedings of the FIRA Roboworld Congress. Singapore, 14th-16th December 2005.
  114. Garibaldi J. M., Musikasuwan S., and Ozen T., “The Association Between Non-stationary and Interval Type-2 Fuzzy Sets: A Case Study”, In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 05), pages 224-229. Reno, USA, 22-25 May 2005.
  115. Ouelhadj D., Garibaldi J. M., MacLaren J., Sakellariou R., and Krishnakumar K., “A Multi-agent Infrastructure and a Service Level Agreement Negotiation Protocol for Robust Scheduling in Grid Computing”, In Proceedings of Advances in Grid Computing (ECG 2005), (Sloot P. M. A. et al, Eds.), Lecture Notes in Computer Science 3470, pages 651-660. Springer-Verlag, 2005.
  116. Ouelhadj D., Garibaldi J.M. and Sakellariou R., “A Service Level Agreement Protocol and Tabu Search for Scheduling on Computational Grids”, In Proceedings of The 2nd Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA 2005), pages 238-243. New York, USA, 18-21 July, 2005.
  117. Schoreels C. and Garibaldi J. M., “A Comparison of Adaptive and Static Agents in Equity Market Trading”, In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2005). Compiegne, France, 2005.
  118. Schoreels C. and Garibaldi J. M., “The Effect of Varying Parameters on Performance for Adaptive Agents in Technical Equity Market Trading”, In Proceedings of the 3rd IEEE International Conference on Computational Cybernetics (ICCC 2005). Mauritius, 2005.
  119. Wang X.-Y. and Garibaldi J. M., “A Comparison of Fuzzy and Non-Fuzzy Clustering Techniques in Cancer Diagnosis”, In Proceedings of the Second International Conference in Computational Intelligence in Medicine and Healthcare. Lisbon, Portugal, 29 June - 1 July 2005.
  120. Wang X.-Y., Garibaldi J. M., Bird B., and George M. W., “Fuzzy Clustering in Biochemical Analysis of Cancer Cells”, In Proceedings of the Fourth Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2005), pages 1118-1123. Barcelona, September, 7-9 2005.
  121. Wang, X-Y. and Whitwell, G. and Garibaldi, J.M., “The Application of a Simulated Annealing Fuzzy Clustering Algorithm for Cancer Diagnosis”, in the Proceedings of IEEE 4th International Conference on Intelligent Systems Design and Application, pp. 467-472, Budapest, Hungary, August 26-28, 2004.
  122. Schoreels, C. and Logan, B. and Garibaldi, J.M., "Agent Based Genetic Algorithm Employing Financial Technical Analysis for Making Trading Decisions using Historical Equity Market Data", in Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology 2004 (IAT 2004), Beijing, China, September 20-24, 2004.
  123. Schoreels, C. and Garibaldi, J.M., "A preliminary investigation into multi-agent trading simulations using a genetic algorithm", in Proceedings of the UK Computational Intelligence Workshop 2004 (UKCI 2004), Loughborough, UK, September 6-8, 2004.
  124. MacLaren, J. and Sakellariou, R. and Garibaldi, J.M., “Towards Service Level Agreement Based Scheduling on the Grid”, in Proceedings of the 2nd European Across Grids Conference (AxGrids 2004), Nicosia, Cyprus, January 28-30, 2004
  125. MacLaren, J. and Sakellariou, R. and Krishnakumar, K.T. and Garibaldi, J.M. and Ouelhadj, D., “Towards Service Level Agreement Based Scheduling on the Grid”, in Proceedings of the Workshop on Planning and Scheduling for Web and Grid Services, 14th International Conference on Automated Planning and Scheduling (ICAPS 2004), Whistler, Canada, June 3-7 2004.
  126. Asmuni, H. and Burke, E.K. and Garibaldi, J.M. “Fuzzy Multiple Ordering Criteria for Examination Timetabling”, in Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2004), Pittsburgh, USA, 18-20 August 2004.
  127. Garibaldi, J.M. and Musikasuwan, S. and John, R.I. “A Case Study to Illustrate the Use of Non-Convex Membership Functions for Linguistic Terms”, in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest, Hungary, 25-29 July 2004.
  128. Ozen, T. and Garibaldi, J.M. and Musikasuwan, S. “Effect of Type-2 Fuzzy Membership Function Shape on Modelling Variation in Human Decision Making”, in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest, Hungary, 25-29 July 2004.
  129. Ozen, T. and Garibaldi, J.M. and Musikasuwan, S. “Preliminary Investigations into Modelling the Variation in Human Decision Making”, in Proceedings of Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU 2004), Perugia, Italy, 4-9 July 2004.
  130. Musikasuwan, S. and Ozen, T. and Garibaldi, J.M. “An Investigation into the Effect of Number of Model Parameters on Performance in Type-1 and Type-2 Fuzzy Logic Systems”, in Proceedings of Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU 2004), Perugia, Italy, 4-9 July 2004.
  131. Ozen, T. and Garibaldi, J.M. and Musikasuwan, S. “Modelling the Variation in Human Decision Making”, in Proceedings of NAFIPS (NAFIPS 2004), Banff, Canada, 27-30 June 2004.
  132. Wang, X.Y. and Garibaldi, J.M. and Ozen, T. “Application of the Fuzzy C-Means Clustering Method to the Analysis of non-Pre-processed FTIR Data for Cancer Diagnosis”, in Proceedings of the 8th Australian and New Zealand Conference on Intelligent Information Systems (ANZIIS 2003), Sydney, Australia, 10-12 December 2003.
  133. Ozen, T. and Garibaldi, J.M. “Investigating Adaptation in Type-2 Fuzzy Logic Systems Applied to Umbilical Acid-Base Assessment”, in Proceedings of the 2003 European Symposium on Intelligent Technologies (EUNITE 2003), Oulu, Finland, pp. 289-294, Jul 2003.
  134. Garibaldi, J.M. and John. R.I. “Choosing Membership Functions of Linguistic Terms”, in Proceedings of the 2003 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2003), St. Louis, USA, pp. 578-583, May 2003.
  135. Hirschmüller, H. and Innocent, P.R. and Garibaldi, J.M. “Fast, Unconstrained Camera Motion Estimation from Stereo without Tracking and Robust Statistics”, in Proceedings of the Seventh International Conference on Control, Automation, Robotics and Vision, Singapore, Dec 2002.
  136. King, H. and Garibaldi, J.M. and Rogerson, S. “Intelligent Medical Systems: Partner or Tool?”, in Proceedings of the Sixth ETHICOMP International Conference on the Social and Ethical Impacts of Information and Communication Technologies, Lisbon, Portugal, 2002.
  137. King, H. and Garibaldi, J.M. and Rogerson, S. “Towards the Identification of Intelligent Systems Currently in Routine Use in Medicine and Dentistry”, in Proceedings of the EUSFLAT International Conference, pp. 435-438, Leicester, UK, 2001.
  138. Adama-Acquah, R. and Garibaldi, J.M. and Symonds, I.M. “A Preliminary Fuzzy Model to Identify Abnormal Cervical Smears Using Fourier Transform Infrared Spectroscopy”, in Proceedings of RASC, pp. 135-142, Leicester, UK, 2000.
  139. Skinner, J.S. and Garibaldi, J.M. and Curnow, J. and Ifeachor, E.C. “Intelligent Fetal Heart Rate Analysis”, in Proceedings of MEDSIP 2000, pp. 14-21, Bristol, UK, 2000.
  140. Skinner, J.S. and Garibaldi, J.M. and Ifeachor, E.C. “A Fuzzy System for Fetal Heart Rate Assessment”, in Proceedings of the 6th Fuzzy Days Conference, pp. 20-29, Dortmund, Germany, 1999.
  141. Burn-Thornton, K.E. and Garibaldi, J.M. and Mahdi, A.E. “Pro-Active Network Management using Data Mining”, in Proceedings of IEEE GLOBECOM 98, pp. 1208-1211, Sydney, Australia, 1998.
  142. Garibaldi, J.M. and Burn-Thornton, K. “A Comparison of Radial-Basis-Function Networks and Other Non-Network Classification Techniques on Medical Data”, in Proceedings of RASC, pp. 81-92, De Montfort University, Leicester, 1998.
  143. Garibaldi, J.M. and Tilbury, J. and Ifeachor, E.C. “The Validation of a Fuzzy Expert System for Umbilical Cord Acid-Base Analysis”, in Proceedings of the 3rd International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, pp. 230-240, World Scientific, Singapore, 1998.
  144. Ifeachor, E.C. and Garibaldi, J.M. and Skinner, J.F. “Intelligent Decision Support Tools for the Management of Labour: The INFANT and DataCare Expert Systems”, in IEE Colloquium on Intelligent Decision Support in Clinical Practice, pp. 1-7, London, UK, 1998.
  145. Garibaldi, J.M. and Ifeachor, E.C. “A Novel Interpretation of Umbilical Acid-Base Balance”, in Proceedings of the Fourth International Symposium on Intrapartum Surveillance, Paris, France, 1997.
  146. Garibaldi, J.M. and Ifeachor, E.C. “The Development of a Fuzzy Expert System for Umbilical Acid-Base Analysis”, in Proceedings of the 5th Fuzzy Days Conference, Dortmund, Germany, 1997.
  147. Garibaldi, J.M. and Ifeachor, E.C. “The Comparison of a Crisp and Fuzzy Expert System with Practising and Expert Clinicians”, in Proceedings of the 2nd International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, pp. 229-237, Plymouth, UK, 1996.
  148. Garibaldi, J.M. and Westgate, J.A. and Ifeachor, E.C. and Greene, K.R. “The Development of a Crisp and Fuzzy Expert System for the Analysis of Umbilical Cord Blood at Delivery”, in Proceedings of the 3rd World Congress on Expert Systems, pp. 202-209, Seoul, Korea, 1996.
  149. Garibaldi, J.M. and Ifeachor, E.C. and Greene, K.R. “An Intelligent Computer System for the Analysis and Interpretation of Umbilical Cord Blood Sampling”, in Proceedings of the 27th British Congress of Obstetrics and Gynaecology, Dublin, Ireland, 1995.
  150. Garibaldi, J.M. and Ifeachor, E.C. and Greene, K.R. “Interrelationships between Validated Umbilical Cord Acid-Base Parameters and Apgar Scores”, in Proceedings of the Third International Symposium on Intrapartum Surveillance, Dublin, Ireland, 1995.
  151. Garibaldi, J.M. and Westgate, J.A. and Ifeachor, E.C. and Greene, K.R. “The Development of an Expert System for the Analysis of Umbilical Cord Blood at Delivery”, in Proceedings of the International Conference on Neural Networks and Expert Systems in Medicine and Healthcare, pp. 394-402, Plymouth, UK, 1994.
  152. Garibaldi, J.M. and Westgate, J.A. and Ifeachor, E.C. and Greene, K.R. “An Expert System for Umbilical Cord Blood Gas Analysis: The Importance of Quality Data”, in IEE Colloquium on Monitoring in Obstetrics and Gynaecology, London, UK, 1994.

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