PUBLICATIONS


Journal Papers

[a56] Turcsany, D., Bargiela A., Maul, T.,, Local Receptive Field Constrained Deep Networks, Information Sciences, 23 Feb. 2016, doi:10.1016/j.ins.2016.02.034 PDF
[a55] Raju, R., Maul, T., Bargiela A., New image processing pipelines for membranes detection, Journal of the Institute of Industrial Application Engineers , 3(1), 2015, ISSN 2188-1758, doi:10.12792/JIIAE.3.15 PDF
[a54] Baskaran, G., Bargiela A., Qu, R.,, Seeing the bigger picture: Domain Transformation Approach to the Nurse Scheduling Problem, Australian Journal of Basic and Applied Sciences , 8(24), 2014, ISSN 1991-8178 PDF
[a53] Abdul-Rahman, S., Burke E.K., Bargiela A., McCollum B., Ozcan E., A constructive approach to examination timetabling based on adaprive decomposition and ordering, Annals OR , 3-21, 218(1), July, 2014 doi:10.1007/s10479-011-0999-8 PDF
[a52] Adamu, A., Maul, T., Bargiela, A., Assessing the feasibility of approximating higher-order problem signatures in Artificial Neural Networks with hybrid transfer functions, Intern. Journal of Computer Science Issues (IJCSI), 11(2), March 2014, ISSN (Print): 1694-0814 | ISSN (Online): 1694-0784 PDF
[a51] Abdul-Rahman, S., Bargiela A., Burke E.K., Ozcan E., McCollum B., Adaptive linear combination of heuristic orderings in construction of examination timetable, European Journal of Operational Research , 287-297, 2342(2), 16 Jan 2014, doi:10.1016/j.ejor.2013.06.052 PDF
[a50] Nakashima, T., Sumitani, T., Bargiela, A., A Construction Method of Fuzzy Classifiers using Confidence-Weighted Learning, Procedia Computer Science, 22, 2013, 460-466, ISSN: 1877-0509 PDF
[a49] T. Maul, A. Bargiela, Y. Yan, N. Gao, A. Foss, Simulation Modelling Study of Self-Assembled Nanoparticle Coatings for Retinal Implants, Journal of Bionic Engineering, 10(1):65-76, January 2013, doi:10.1016/S1672-6529(13)60200-0 PDF
[a48] S. Rahim, A. Bargiela, R. Qu, Domain transformation approach to deterministic optimization of examination timetables, Artificial Intelligence Research, 2(1):122-138, January 2013, doi: 10.5430/air.v2n1p122 PDF
[a47] L. Lee, A. Bargiela, An Approximated Voxel Approach for the Identification and Modelling of Ligand-Binding Sites, Journal of Physical Science and Application, 2(10):399-408, October 2012 PDF
[a46] Lee, LW. and Bargiela, A., Protein Surface Atoms Extraction: Voxels as an Investigative Tool, Engineering Letters, 20(3), 1-12, 2012, http://www.engineeringletters.com/20(3) PDF
[a45] Kien, T,T., Maul, T., Bargiela A., A review of retinal prosthesis approaches, International Journal of Modern Physics Conference Series, 9(01), 2012, 209-231 doi:10.1142/S2010194512005272 PDF
[a44] Pedrycz, W., Bargiela, A., An Optimisation of allocation of information gramularity in the interpretation of data structures, IEEE Trans. on Systems Man and Cybernetics SMC-B , 2012, 42(3), 582-590, doi:10.1109/TSMCB.2011.2170067, PDF
[a43] Wang Wei, Barnaghi P, Bargiela A, Rational research model for ranking semantic entities, Information Sciences, 181(13), 2823-2840, 2011, doi:10.1016/j.ins.2011.02.028 PDF
[a42] Maul, T., Bargiela A., Ren, L.J., Cybernetics of Vision Systems: Towards an Understanding of Putative Functions of the Outer Retina, IEEE Transactions on Systems Man and Cybernetics, SMC-A, 41(3), 398-409, 2011, doi:10.1109/TSMCA.2010.2085432 PDF
[a41] Pedrycz W., Bargiela A., Fuzzy clustering with semantically different families of variables: descriptive and predictive aspects, Pattern Recognition Letters, 31(13), 1952-1958, 2010, doi:10.1016/j.patrec.2010.06.018 PDF
[a40] Badr S, Bargiela A., Case study of innacuracies in the granulation of decision trees, Soft Computing , 15(6), 1129-1138, 2011, doi:10.1007/s00500-010-0587-x PDF
[a39] Xiao K, Ho S.H., Bargiela A., Automatic brain MRI segmentation scheme based on feature weighting factors selection, Intern. J. of Computational Intelligence in Bioinformatics and System Biology , vol. 1, 3, 2010, 316-331, doi:10.1504/IJCIBSB.2010.031393 PDF
[a38] Wang Wei, Barnaghi P, Bargiela A., Probabilistic topic models for learning terminological ontologies, IEEE Transactions on Knowledge and Data Engineering , 22(7), 1028-1040, 2010, doi:10.1109/TDKE.2009.122 PDF
[a37] Agafonov, E., Bargiela, A., Burke, E., Peytchev, E., Mathematical justification of a heuristic for statistical correlation of real-life time series, European Journal of Operational Research , 198, 2009, 275-286, doi:10.1016/j.ejor.2008.06.040 PDF
[a36] Bargiela, A. Pedrycz, W., Toward a theory of Granular Computing for human-centred information processing, IEEE Trans. on Fuzzy Systems , vol. 16, 2, 2008, 320-330, doi:10.1109/TFUZZ.2007.905912 PDF
[a35] Wang Wei, Barnaghi P, Bargiela A., Search with meanings: An overview of semantic search systems, Int. J. Communications of SIWN , 3, 76-82, 2008 PDF
[a34] Bargiela A., Pedrycz W., Nakashima T., Multiple regression with fuzzy data, Fuzzy Sets and Systems , 158(19), 2007, 2169-2188, doi:10.1016/j.fss.2007.04.011 PDF
[a33] Bargiela A., Homenda W., Information structuring in natural language communication – syntactical approach, Journal of Intelligent and Fuzzy Systems , vol. 17, 6, 2006, 575-582, http://iospress.metapress.com/ PDF
[a32] Bargiela A., Kosonen I, Pursula M, Peytchev E., Granular analysis of traffic data for turning movements estimation, Int. J. of Enterprise Information Systems , vol 2, 2, 2006, 13-27, doi: 10.4018/jeis.2006040102 PDF
[a31] Bargiela A., Pedrycz W., A model of granular data: a design problem with the Tchebyschev FCM, Soft Computing , 9, 3, March 2005, 155-163, doi:10.1007/s00500-003-0339-2 PDF
[a30] Bargiela, A., Pedrycz, W., Granular mappings, IEEE Trans. on Systems Man and Cybernetics SMC-A , vol. 35, 2, March 2005, 288-301, doi:10.1109/TSMCA.2005.843381 PDF
[a29] Bargiela, A., Pedrycz, W., Tanaka, M., An inclusion/exclusion fuzzy hyperbox classifier, Int. J. Knowledge-based and Intelligent Engineering Systems , 8, 2, 2004, 91-98, http://dl.acm.org/ PDF
[a28] Osman T., Wagealla W., Bargiela A., An approach to rollback recovery of collaborating mobile agents, IEEE Transactions on Systems Man and Cybernetics, SMC-C, 34, 1, 2004, 48-57, doi:10.1109/TSMCC.2003.818496 PDF
[a27] Bargiela A., Pedrycz W., Hirota K., Granular prototyping in fuzzy clustering, IEEE Transactions on Fuzzy Systems , 12, 5, 2004, 697-709, doi:10.1109/TFUZZ.2004.834808 PDF
[a26] Arsene C., Al-Dabass D., Bargiela A., Modelling and simulation of water systems based on loop equations, Int. Journ. Simulation, Systems, Science and Technology , 5, 1-2, 2004, 61-72 PDF
[a25] Bargiela, A., Pedrycz, W., Recursive information granulation: Aggregation and interpretation issues, IEEE Trans. on Systems Man and Cybernetics SMC-B , 33, 1, 2003, 96-112, doi:10.1109/TSMCB.2003.808190 PDF
[a24] Bargiela A., Pedrycz W., Tanaka M., A study of uncertain state estimation, IEEE Trans. on Systems Man and Cybernetics, SMC-A , 33, 3, 2003, 288-301, doi:10.1109/TSMCA.2002.806500 PDF
[a23] Pedrycz W, Bargiela A, Fuzzy fractal dimensions and fuzzy modeling, Information Sciences , 153, 2003, 199-216, doi:10.1016/S0020-0255(03)00075-6 PDF
[a22] Pedrycz W, Bargiela A, Granular clustering: a granular signature of data, IEEE Trans. on Systems Man and Cybernetics, SMC-B , 32, 2, April 2002, 212-224, doi:10.1109/3477.990878 PDF
[a21] Bargiela A., Pedrycz W., Hirota K., Data granulation through optimization of similarity measure, Archives of Control Sciences , 12, 4, 155-177, 2002, URL PDF
[a20] Muhammad A., Bargiela A., King G., Fuzzy and Evolutionary Modelling of Non-Linear Control Systems, Mathematical and Computer Modelling , vol. 33, pp 533-551, 2001, doi:10.1016/S0895-7177(00)00259-4 PDF
[a19] Osman T., Bargiela A., FADI: A fault tolerant environment for open distributed computing, IEE Proceedings Software , vol. 147, no. 3, June 2000, pp. 91-99, doi:10.1049/ip-sen:20000702 PDF
[a18] Gabrys B., Bargiela A., General Fuzzy Min-Max Neural Network for Clustering and Classification, IEEE Transactions on Neural Networks , Vol 11(3), May 2000, pp. 769-783, doi:10.1109/72.846747 PDF
[a17] Claramunt, C., Jiang, B., Bargiela, A., A new framework for the integration of urban traffic data, Transportation Research Journal, Part C, Vol. No., 2000, pp. 167-184, doi:10.1016/S0968-090X(00)00009-7 PDF
[a16] Muhammad A., Bargiela A. King G., Fine-Grained Genetic Algorithm: A Global Convergence Criterion, Int. Journal of Computer Mathematics , Vol.73, No. 2, 1999, pp.139-155, doi:10.1080/00207169908804885 PDF
[a15] Gabrys B., Bargiela A., Neural Networks Based Decision Support in Presence of Uncertainties, ASCE Journal of Water Reasources Planning and Management , Vol. 125, No. 5, 1999, pp. 272-280, doi:10.1061/(ASCE)0733-9496(1999)125:5(272) PDF
[a14] Osman T., Bargiela A., Reliable Distributed Computing for Decision Support Systems, Measurement and Control , Vol. 32, No. 4, May 1999, pp.115-118, doi: 10.1177/002029409903200405 PDF
[a13] Gabrys B., Bargiela A., Analysis of Uncertainties in Water Systems Using Neural Networks, Measurement and Control , Vol. 32, No. 5, June 1999, pp.145-147, doi: 10.1177/002029409903200504 PDF
[a12] Kosonen I., Bargiela A., Claramunt C., A distributed Traffic Monitoring and Information System, Journal of Geographic Information and Data Analysis , Vol 3, no. 1, June 1999, pp. 30-39 PDF
[a11] Hartley J., Bargiela A., Parallel State Estimation with Confidence Limit Analysis, Parallel Algorithms and Applications , Vol. 11, No.1-2, 1997, pp. 155-167, doi: 10.1080/10637199708915592 PDF
[a10] Cichocki A., Bargiela A., Neural Networks for Solving Linear Inequality Systems, Parallel Computing , Vol.22, No.11, Jan. 1997, pp.1455-1475, doi: 10.1016/S0167-8191(96)00065-8 PDF
[a9] Hosseinzaman A., Bargiela A., ADA’s virtual node based water system simulator, ADA User Journal , Vol. 15, No. 2, July 1994, pp. 86-94 PDF
[a8] Bargiela A., Hartley J.K., Orthogonal linear regression algorithm based on augmented matrix formulation, Computers and Operations Research , Vol. 20, No. 8, 1993, pp. 829-836, doi: 10.1016/0305-0548(93)90104-Q PDF
[a7] Bargiela A., Hainsworth G., Pressure and flow uncertainty in water systems, Water Resources Research, Vol. C , No. 162, Sept. 1989, pp. 40-48 PDF
[a6] Bargiela A., Hainsworth G., Pressure and flow uncertainty in water systems, ASCE Journal of Water Resources Planning and Management , Vol. 115, 2, March 1989, pp. 212-229, doi: 10.1061/(ASCE)0733-9496(1989)115:2(212) PDF
[a5] Bargiela A., Al-Dabass D., A simulated real-time environment for verification of advanced water network control algorithms, Int. Journal of Systems Science , Vol. 14, No. 3, 1988, pp. 51-61 PDF
[a4] Bargiela A., Irving M., Sterling M., Observability determination in power system state estimation, IEEE. Transactions on Power Systems , PWR, 1, 2, May 1986, pp. 108-112, doi: 10.1109/TPWRS.1986.4334914 PDF
[a3] Bargiela A., An algorithm for observability determination in water-system state estimation, IEE Proceedings Part D , 132, Nov. 1985, pp. 245-249, doi: 10.1049/ip-d.1985.0043 PDF
[a2] Sterling M., Bargiela A., Leakage reduction by optimised control of valves in water networks, Transactions of Inst. Measurement and Control. , Vol. 6, Oct. 1984, pp. 293-298, doi: 10.1177/014233128400600603 PDF
[a1] Sterling M., Bargiela A., Minimum norm state estimation for computer control of water distribution systems, IEE Proceedings Part D , 131, March 1984, pp. 57-63, doi: 10.1049/ip-d.1984.0009 PDF

Authored Books and Edited Volumes

[b8] Al-Begain K., Bargiela A., (Eds.), Seminal Contributions to Modelling and Simulation, ISBN: 978-3-319-33786-9, Springer 2016, doi: 10.1007/978-3-319-33786-9 URL
[b7] Bargiela A., Ali S.A., Crowley D., Kerckhoffs, E., (Eds.) Proceedings of the 24th European Conference on Modelling and Simulation, ECMS’2010, Kuala Lumpur, Malaysia, June, 2010, ECMS Press 2010 doi: 10.7148/2010 URL
[b6] Otamendi, J, Bargiela A., Montes, J.L., Pedrera L.M.D., (Eds.), Proceedings of the 23rd European Conference on Modelling and Simulation, ECMS’2009, Madrid, Spain, June, 2009, ECMS Press 2009 doi: 10.7148/2009 URL
[b5] Bargiela, A., Pedrycz, W., (Eds.) Human-centric information processing through granular modelling, Springer series, Studies in Computational Intelligence , 2009 doi: 10.1007/978-3-540-92916-1 URL
[b4] Hirota, K., Bargiela A., Takahashi H., Introduction to FAN (Fuzzy logic, AI and Neurocomputing) in CI, SOFT , Japan 2005
[b3] Bargiela, A., Pedrycz, W., Granular Computing – An Introduction, Kluwer Academic Publishers, Boston, Dordrecht, London, 2002 URL
[b2] Bargiela, A. Pedrycz, W., (Eds.) Archives of Control Sciences – Special Issue on Granular Computing, Vol. 12, 4, ISSN 0004-072X, 2002 URL
[b1] Bargiela, A., Kerckhoffs, E., (Eds.) Simulation Technology: Science and Art, Edited Proceedings of 10th European Simulation Symposium ESM-98, Nottingham, October 1998 URL

Book Chapters

[c21] Bargiela, A., Pedrycz, W., Granular Computing, Ch2, pp.43-66, in P. Angelov (ed.), Handbook on Computational Intelligence 2016, ISBN 978-981-4675-00-0, doi: 10.1142/9789814675017_0002
[c20] Adamu, A., Maul, T., Bargiela A., Roadknight, C., Preliminary Experiments with ensembles of neurally diverse artificial neural networks for pattern recognition, In Herwig Unger, Phayung Meesad, Sirapat Boonkrong (Eds.) Recent Advances in Information and Communication Technology , 361, 85-96, 2015, doi:10.1007/978-3-319-19024-2_9 PDF
[c19] Turcsany, D., Bargiela, A., Learning local receptive fields in deep belief networks for visual feature detection, In ChuKiong Loo, KeemSiah Yap, KokWai Wong, Andrew Teoh, and Kaizhu Huang, (EDs.), Neural Information Processing, Vol. 8834 of Lecture Notes in Computer Science, pp.462-470, Springer International Publishing, 2014, doi: 10.1007/978-3-319-12637-1_58 PDF
[c18] Nakashima, T., Sumitani, T., Bargiela, A., Incremental update of fuzzy rule-based classifiers for dynamic problems, Studies in Computational Intelligence, 429, 209-219, 2012, doi: 10.1007/978-3-642-30454-5_15
[c17] Bargiela, A., Pedrycz, W., Optimised Information Abstraction in Granular Min/Max Clustering, ), Ch2, pp.31-48, in S. Ramanna, R.J. Howlett, L. Jain (ed.), (Eds) Emerging Paradigms in Machine Learning, Smart Innovation, Systems and Technologies 13, 2013, ISBN 9783642286988, doi: 10.1007/978-3-642-28699-5_3
[c16] Wang Wei, Barnaghi P, Bargiela A., Learning SKOS Relations for Terminological Ontologies from Text, in Wong, W., Liu, W., Bennamoun, M. (Eds.), Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, IGI Global, 2011. 1-358. Web. 6 Dec. 2011, doi: 10.4018/978-1-60960-625-1.ch007
[c15] Bargiela A., Pedrycz W., Supervised and unsupervised information granulation: A study in hyperbox design, in J.T.Yao (ed.), Novel developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, IGI Global, 2010, doi: 10.4018/978-1-60566-324-1.ch003 URL
[c14] Bargiela A., Travel time estimation through statistical correlation of inductive loop readings, in R. Tapio Luttinen (ed), Crisp and Fuzzy Essays on Transportation Research, HUT Publications 110, Espoo, 2007, 323-332
[c13] Bargiela A., Fuzzy Hyperbox Classification, In. P. Grzegorzewski, M. Krawczyk, S.Zadrozny (eds.) Soft Computing Tools, Techniques and Applications, Academic Publishers Exit, 2004
[c12] Bargiela, A., Homenda W., Information structuring in Natural Language communication: Syntactical approach, In: S. Halgamuge, L Wang (eds.) Softcomputing in knowledge discovery, Springer, 2004
[c11] Bargiela, A., Pedrycz W., Self-organising maps for interactive information granulation, in Neural Network Applications in IT, In : D. Wang, N.K.Lee (eds.), University of Malasia Press, 2004.
[c10] Bargiela, A., Pedrycz, W., From numbers to information granules: A study of unsupervised learning and feature analysis, In: H. Bunke, A. Kandel (eds.) Hybrid Methods in Pattern Recognition, World Scientific, 2002, pp.75-112, doi: 10.1142/9789812778147_0004
[c9] Bargiela A., Interval and ellipsoidal uncertainty models, In: W. Pedrycz (ed.) Granular Computing, Physica Verlag, 2001., ISBN 3-7908-1387-7, pp. 23-48, doi: 10.1007/978-3-7908-1823-9_2
[c8] Claramunt, C., Jiang, B., Bargiela, A., A new framework for the integration, analysis and visualisation of urban traffic data within geographic information systems, Geographic Information Systems in Transportation Research, J.C. Thill (ed.), Elsevier Science Pub., 2001, ISBN-13: 9780080436302
[c7] Hartley J.K., Bargiela A., Utilisation of smoothing formulae for describing hydraulic relationships in water networks, Integrated Computer Applications, Ed. Coulbeck B., Vol. 1, J Wiley, 1993, ISBN 0 471 94232 4, pp. 35-48.
[c6] Bargiela A., Managing uncertainty in operational control of water distribution systems, in Integrated Computer Applications, Ed. by Coulbeck B., J Wiley, ISBN 0 471 94233 2, 1993, pp. 353-363
[c5] Argile A., Bargiela A., Using X11 Windows to provide shared task memory in distributed computer systems, in Inte­grated Computer Applications, Ed. Coulbeck B., Vol. 1, J Wiley, 1993, ISBN 0 471 94232 4, pp. 305-316
[c4] Bargiela A., Nonlinear network tearing for transputer systems implementation in Transputers and Parallel Applications (Eds.) Hulskamp J., Jones D., IOS Press, Amsterdam, 1993, pp. 19-24
[c3] Bargiela A., Hainsworth G., Telemetry design with TCLAS software in Computer Appli­cations in Water Supply (Eds.) Coulbeck B., Orr C.H., Vol. 2, Systems Optimisation, John Wiley, 1988, ISBN: 0 471917842, pp. 1-11
[c2] Bargiela A., Hainsworth G., Confidence limit analysis in water systems, in Computer Applications in Water Supply (Eds.) Coulbeck B., Orr C.H., Vol. 2, Systems Optimisation, John Wiley, 1988, ISBN: 0 471917842, pp. 43-58
[c1] Sterling M., Bargiela A., Adaptive forecasting of daily water demand, Chapter 12 in Comparative models for electri­cal load forecasting Bunn D.W., Farmer E.D. (Eds.), John Wiley, 1985, ISBN: 0 47190635 2, pp. 213-225

Refereed Proceedings Papers

[d119] Baskaran, G., Bargiela, A., Qu, R., Domain transformation using greedy algorithm in nurse scheduling, International Conference on Artificial Intelligence, Energy and Manufacturing Engineering (ICAME), Jan 5-7, 2015, Dubai (UAE) ISBN: 978-93-84422-05-9 PDF
[d118] Raju, R., Maul, T., Bargiela, A., A New Image Processing Heuristic Suggested by Optimization Experiments Đ Enhance It before You Lose It, 2nd International Conference on Intelligent Systems and Image Processing 2014, ICISIP2014, Kitakyushu, Japan, 26-29 September 2014, doi:10.12792/icisip2014 PDF
[d117] Turcsany, D., Bargiela, A., Maul, T., Modelling retinal feature detection with deep belief networks in a simulated environment, ECMS 2014 Proceedings of the European Conference for Modeling and Simulation, Brescia, Italy, 27-30 May 2014, doi:10.7148/2014-0364 PDF
[d116] Maul, T., Bargiela, A., Chong, S-Y., Adamu, A., Towards evolutionary deep neural networks, ECMS 2014 Proceedings of the European Conference for Modeling and Simulation, Brescia, Italy, 27-30 May 2014. doi:10.7148/2014-0319 PDF
[d115] Baskaran, G., Bargiela, A., Qu, R., Simulation of scheduling and cost effectiveness of nurses using domain transformation method, ECMS 2014 Proceedings of the European Conference for Modeling and Simulation, Brescia, Italy, 27-30 May 2014. doi:10.7148/2014-0226 PDF
[d114] Raju, R., Maul, T., Bargiela, A., Local contrast hole filling algorithm for neural slices membrane detection - LCHF, 2014 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), Penang, Malaysia, 7-8 April, 2014, pp. 152-157, doi:10.1109/ISCAIE.2014.7010227 PDF
[d113] Rahim S.K.N.A., Bargiela, A., Qu, R., A study of the effectiveness of genetic algorithm and identifying the best parameters range for slots swapping in the examination scheduling, International Symposium on Mathematical Sciences and Computing Research, iSMSC 2013, Ipoh, Malaysia PDF
[d112] Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu, Hill climbing versus genetic algorithm optimization in solving the examination timetabling problem, 2nd Int. Conf. On Operations Research and Enterprise Systems, ICORES 2013, Barcelona, Spain, 16-18 February 2013 PDF
[d111] Rahman S.A., Bargiela A., Burke E., McCollum B. and Ozcan E., An Investigation of Multistage Approaches to Examination Timetabling, Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 26th - 30th August 2013, Gent, Belgium PDF
[d110] Baskaran, G. ,Bargiela, A., Qu, R. , A study of cost effective scheduling of nurses based on the domain transformation method, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0309 PDF
[d109] Siti Khatijah Nor Abdul Rahim, Andrzej Bargiela, Rong Qu, Analysis Of Backtracking In University Examination Scheduling, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0782 PDF
[d108] Kien, T.T. ,Maul, T. , Ren, L.J.,Bargiela, A. , Outer Plexiform Layer Receptive Fields As Underlying Factors Of The Hermann Grid Illusion, IECBES-2012, IEEE-EMBS International Conference on Biomedical Engineering and Sciences, p.1-7, Langkawi, December 2012, doi: 10.1109/IECBES.2012.6498072 PDF
[d107] Nakashima, T., Sumitani, T., Bargiela, A., Study on Incremental Construction of Fuzzy Rule-Based Classifiers, WSC16 Conference on Soft Computing in Industrial Applications, p.1-11, Loughborough, UK, December 2011 PDF
[d106] Lee, L., Bargiela, A., In Search of Ligand-Binding Regions in Proteins Using Voxel Clusters with Applied Approximated Measures, 9th International Workshop on Computational Systems Biology, WCSB2012, p.41-50, Ulm, Germany, June 2012 PPT
[d105] Rahim, S., Bargiela, A., Qu, R., Deterministic Optimisation of Examination Timetables, 25th European Conference on Operational Research, EURO 2012, Session WC-14, p.220-221, Vilnius, Latvia, July 2012 PPT
[d104] Nakashima, T., Sumitani, T., Bargiela, A., Performance Evaluation of Incremental Fuzzy Rule-Based Classifiers, 2nd International Conference on Computers, Networks, Systems, and Industrial Applications, p.236-241, Jeju Island, Korea, July 2012 PDF
[d103] Nakashima, T., Sumitani, T., Bargiela, A., Incremental Learning of Fuzzy Rule-Based Classifiers for Large Data Sets, World Automation Congress, WAC 2012, p.29-30, Puerto Vallarta, Mexico, June 2012 PDF
[d102] Lee, L., Bargiela, A., An Investigation of the Use of Constraints- Applied Voxels in the Search for Protein Surface Atoms, International Conference of Systems Biology and Bioengineering, ICSBB 2012, p.1890-1896, London, UK, July 2012 PDF
[d101] Baskaran, G.,Bargiela, A., Qu, R., From Simplified to Detailed Solutions to the Nurse Scheduling Problem, 25th European Conference on Operational Research, EURO 2012, Session TC-14, p.134-135, Vilnius, Latvia, July 2012 PPT
[d100] Lee, L., Bargiela, A., Prediction And Modelling Of Ligand-Binding Sites Using, ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann, p.96-102, May 2012, doi:10.7148/2012-0096-0102 PDF PPT
[d99] Maul T, Bargiela, A., Yan Y, Gao N., Simulation modelling of nanoparticle assemblies formed by spray deposition, Proc. 25th European Conference on Modelling and Simulation, ECMS 2011, Krakow, Poland, pp.254-259, June 2011, doi:10.7148/2011-0254-0260 PDF
[d98] Abdul Rahman, S, Burke, E.K., Bargiela, A., McCollum, B., A Construction Approach for Examinations Timetabling based on Adaptive Decomposition and Ordering, Practice and Theory of Automated Timetabling (PATAT 2010), Aug. 2010 PDF
[d97] Lee, L.W.., Bargiela, A., Statistical Extraction of Protein Surface Atoms Based on a Voxelisation Method, Proc. 24th European Conference on Modelling and Simulation, ECMS 2010, Kuala Lumpur, Malaysia, pp.344-349, June 2010, doi:10.7148/2010-0344-0349 PDF PPT
[d96] Maul, T.H., Bargiela, A., Ren, L.J. A Neuroalgorithmic Investigation of the Outer Retina. Proc. 24th European Conference on Modelling and Simulation, ECMS 2010, Kuala Lumpur, Malaysia, pp.337-343, June 2010, doi: 10.7148/2010-0337-0343 PDF
[d95] Abdul Rahman, S, Bargiela, A., Burke, E.K., McCollum, B., Construction of Examination Timetables Based on Ordering Heuristics, Proc. 24th Int. Symposium on Computer and Information Sciences (ISCIS 2009), 727-732, Sept. 2009, doi: 10.1109/ISCIS.2009.5291905 URL
[d94] Chandessa Tissa, Pridmore Tony, Bargiela Andrzej, Detecting occlusion and camouflage during visual tracking, Proc. Int. Conf. on Signal and Image Processing Applications, ICSIPA09, 18-19 Nov. 2009, doi: 10.1109/ICSIPA.2009.5478700 URL
[d93] Cheng Wai Kheng, Chong Siang Yew, Bargiela Andrzej, Multi-resolution optimisation: Application of meta-heuristics in function re-modelling, Proc. 23rd European Conference on Modelling and Simulation, ECMS 2009, Madrid, Spain, pp.834-840, June 2009, doi:10.7148/2009-0834-0840 PDF
[d92] Wang Wei, Bargiela Andrzej, Multi-resolution modelling of topic relationships in semantic space, Proc. 23rd European Conference on Modelling and Simulation, ECMS 2009, Madrid, Spain, pp.813-818, June 2009, doi:10.7148/2009-0813-0819 PDF
[d91] Lee Ling Wei, Bargiela Andrzej, Space-partition based identification of protein docksites Proc. 23rd European Conference on Modelling and Simulation, ECMS 2009, Madrid, Spain, pp.848-854, June 2009, doi:10.7148/2009-0848-0854 PDF
[d90] Baskaran Geetha, Bargiela Andrzej, Qu Rong, Hierarchical method for nurse rostering based on granular pre-processing of constraints, Proc. 23rd European Conference on Modelling and Simulation, ECMS 2009, Madrid, Spain, pp.855-861, June 2009, doi:10.7148/2009-0855-0860 PDF
[d89] Rahim Siti Khatijah, Bargiela Andrzej, Granular Modelling of exam to slot allocation, Proc. 23rd European Conference on Modelling and Simulation, ECMS 2009, Madrid, Spain, pp.861-866, June 2009, doi:10.7148/2009-0861-0866 PDF
[d88] Wei Wang, Payam M. Barnaghi, Andrzej Bargiela, Knowledge Acquisition for semantic search systems, Proc. 3rd Int. Symposium on Information Technology, IEEE Computer Society Conf., pp.1157-1162, 2008
[d87] Bargiela, A., Agafonov, E., Statistical travel time estimation for intelligent urban transportation systems, Proc. 3rd Int. symposium on Computational Intelligence and Industrial Applications, ISCIIA, Dali, China, Nov. 2008
[d86] Wei Wang, Payam M. Barnaghi, Andrzej Bargiela, Semantic-enhanced Information Search and Retrieval, Proc. 6th Int. Conf. on Advanced Language Processing and Web Information Technology, IEEE Computer Society, pp. 218-223, August 2007, Henan, China, doi: 10.1109/ALPIT.2007.59 URL
[d85] Agafonov, E., Bargiela, A., Tanaka, M., Peytchev, E., Probabilistic Travel Time Estimation, Proc. 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, Suwa, Japan, Oct. 2006
[d83] Bargiela, A., Granular modelling through regression analysis, Proc. Int. conf. on Information Processing and Managing Uncertainty, IPMU2006, Paris, July, 2006 PDF
[d84] Bargiela, A. Pedrycz, W., Combined physical and mathematical model of Granular Computing, Proc. Int. Conf. On Soft Computing and Intelligent Systems SCIS2006, Tokyo, Japan, Sept. 2006 URL
[d82] Bargiela, A., Granular Computing and Simulation Modelling, Proc. 21st European Conference on Modelling and Simulation, ECMS2006, Bonn, May 2006.
[d81] Bargiela, A. Pedrycz, W., The roots of Granular Computing, Proc. IEEE Conference on Granular Computing (GrC2006), ISBN 1-4244-01333-X, Atlanta, May, 2006, doi: 10.1109/GRC.2006.1635922 URL
[d80] Tanaka M., Bargiela A., Deriving a subspace model for personal authentication in biometrics ­Dynamic signature case-, Proc. International Conference on CI for Modelling, Control and Automation (CIMCA'05), Vienna, ISBN 0-7695-2504-0-01, Dec., 2005, pp. 239-245, doi: 10.1109/CIMCA.2005.1631272 URL
[d79] Tanaka M., Bargiela A., Authentication model of dynamic signatures using global and local features, Proc. IEEE MMSP05, Shanghai, Oct. 2005, doi: 10.1109/MMSP.2005.248563 URL
[d78] Bargiela A., Nakashima T., Pedrycz W., Iterative gradient descent approach to multiple regression with fuzzy data, Proc. The North American Fuzzy Information Processing Conference, NAFIPS 2005, Ann Arbor, ISBN 0-7803-9188-8, June 2005, doi: 10.1109/NAFIPS.2005.1548552 URL
[d77] Nakashima T., Yokota Y., Ishibuchi H., Bargiela A., Effect of data weighing methods on the performance of fuzzy classification systems, Proc. The North American Fuzzy Information Processing Conference, NAFIPS 2005, Ann Arbor, ISBN 0-7803-9188-8, doi: 10.1109/NAFIPS.2005.1548536 URL
[d76] Nakashima T., Yokota Y., Ishibuchi H., Bargiela A., Constructing fuzzy classification systems from weighted training patterns, Proc. European Conference on Modelling and Simulation ECMS 2005, Riga, Latvia, ISBN 1-84233-112-4, June 2005 PDF
[d75] Mencar C., Castellano G., Fanelli A.M., Bargiela A., Similarity vs. Possibility in measuring fuzzy sets distinguishability, Proc. 5th Int. Conf. Recent Advances in Soft Computing RASC2004, 16-18 Dec. 2004 PDF
[d74] Baoli Zhao, Allen A., Bargiela A., Evaluation of a mixed-initiative dialogue multimodal interface, Proc. 24th SGAI Int. Conf. on Innovative Techniques and Applications of AI, 13-14 Dec. 2004 URL
[d73] Tanaka M., Bargiela A., Coggan J., Adachi S., Development of traffic image analysing software for mobile terminals using Internet, Proc. 5th Asia Pacific Industrial Engineering and Management Systems Conference, Brisbane, December 2004 PDF
[d72] Bargiela A., Tanaka M., Castellano G., Fanelli A-M., Adaptation of exclusion/ inclusion hyperboxes for classification of complex data, Proc. 5th Asia Pacific Industrial Engineering and Management Systems Conference, Brisbane, Dec. 2004 PDF
[d71] Bargiela A., Kosonen I., Pursula M., Peytchev E., Granular analysis of traffic data for turning movements estimation, Proc. 5th Asia Pacific Industrial Engineering and Management Systems Conference, Brisbane, December 2004 PDF
[d70] Tanaka M., Hamamura R., Bargiela A., Car detection in consecutive road images by stochastic model, Proc. Stochastic Systems Symposium, SSS’04, Japan, Nov. 2004
[d69] Nakashima T., Ishibuchi H., Bargiela A., Constructing fuzzy classification systems from weighted training patterns, Proc. IEEE SMC, Hague, 10-13 Oct. 2004, doi: 10.1109/ICSMC.2004.1400686 URL
[d68] Nakashima T., Ishibuchi H., Bargiela A., A study on weighting training patterns for fuzzy rule-based classification systems, Lecture Notes in Computer Science, vol. 3131/2004, Proc. MDAI, Barcelona, 2-4 August 2004, 60-69, doi: 10.1007/978-3-540-27774-3_7
[d67] Mencar C., Bargiela A., Castellano G., Fanelli A-M., Interpretable information granules with Minkowski FCM, Proc. 23rd Int. Conf. of the North American Fuzzy Information Processing Society - NAFIPS 2004, Banff, June 2004 URL
[d66] Tanaka, M., Hamamura, R., Bargiela, A., Information extraction from traffic images, Proc. 35th International Symposium on Stochastic Systems, Theory and Applications, Japan, May 2004, 41-46.
[d65] Arsene C., Bargiela A., Al-Dabass D., Simulation of network systems based on loop flows algorithm, Proc. UK Sim’2004, Oxford, March 2004.
[d64] Bargiela, A., Pedrycz, W., Intelligent classification through exclusion/inclusion relationship, Proc. AIMETH’2003, Gliwice, Poland, Nov. 2003
[d63] Tanaka, M., Hamamura, R., Bargiela, A., Information extraction from traffic images, Proc. Stochastic Systems Conference, SSS’03, Japan, Nov. 2003
[d62] Pedrycz W., Bargiela A., Fuzzy fractal dimension and fuzzy modeling, Proc. 9th Int. Conf. on Fuzzy Theory and Technology, Cary (NC), Sept. 2003
[d61] Tanaka M., Ishino Y., Shimada H., Inoue T., Bargiela A., Determination of decision boundaries for online signature verification, Lecture Notes in Computer Science, vol. 2773/2003, Knowledge Engineering Systems KES’2003, Oxford, Sept. 2003, 401-407, doi: 10.1007/978-3-540-45224-9_56
[d60] Bargiela A., Pedrycz W., Tanaka M., Exclusion/Inclusion fuzzy classification network, Lecture Notes in Computer Science, vol. 2773/2003, Proc. Knowledge Engineering Systems KES’2003, Oxford, Sept. 2003, 1236-1241, doi: 10.1007/978-3-540-45224-9_167
[d59] Bargiela A., Pedrycz W., Granulation of Temporal data: A global view on time series, Proc. 22nd Int. Conf. of the North American Fuzzy Information Processing Society - NAFIPS 2003, Chicago, July 2003, 191-196, doi: 10.1109/NAFIPS.2003.1226780 URL
[d58] Agafonov E., Bargiela A., A methodology for accurate link travel time estimation, Proc. European Simulation Multiconference UKSim 2003, Cambridge, 2003
[d57] Agafonov E., Bargiela A., Automation of interactions with terminal-based applications, Proc. PREP 2003, Exeter, April 2003
[d56] Bargiela A., Homenda W., Information structuring in natural language communication: syntactical approach, Proc. International Conference on Fuzzy Systems and Knowledge Discovery FSKD’2002, Singapore, Nov. 2002.
[d55] Tanaka M., Ishino Y., Shimada H., Inoue T., Bargiela A., Analysis of iterative procedure of matching two drawings by DP matching and estimation of time-variant transformation parameters, Proc. 34th ISCIE International Symposium on Stochastic Systems Theory and Applications, Fukuoka, Japan, Oct. 2002, 23-28.
[d54] Tanaka M., Mori Y., Bargiela A., Granulation of keywords into sessions for timetabling conferences, Proc. Soft Computing and Intelligent Systems SCIS’2002, Tsukuba, Japan, Oct. 2002.
[d53] Homenda W., Bargiela A., Information granulation in Natural Language syntactical approach, Proc. Soft Computing and Intelligent Systems SCIS’2002, Tsukuba, Japan, Oct. 2002.
[d52] Bargiela A., Pedrycz W., Hirota K., Logic-based granular prototyping, Proc. Soft Computing and Intelligent Systems SCIS’2002, Tsukuba, Japan, Oct. 2002, doi: 10.1109/CMPSAC.2002.1045169 URL
[d51] Bargiela A., Arsene C., Tanaka M., Knowledge-based neurocomputing for operational decision support, Proc. Knowledge Engineering Systems conference KES’2002, Crema, Italy, Sept. 2002.
[d50] Bargiela A., Pedrycz W., Hirota K., Logic-based granular prototyping, Proc. COMPSAC’2002, Oxford, August 2002
[d49] Arsene C., Bargiela A., Decision support for forecasting and fault diagnosis – Robust loop flows state estimation technique, Proc. 7th Int. Conf. On Computing and Control in Water Industry, Leicester, 2002.
[d48] Bargiela A., Pedrycz W., A model of granular data: a design problem with Tchebyschev-based clustering, Proc. World Congress on Computational Intelligence WCCI2002, IEEE Int. Conference on Fuzzy Systems FUZ-IEEE2002, May 2002, doi: 10.1109/FUZZ.2002.1005056
[d47] Kosonen I., Bargiela A., Real-time environment for micro-simulation of urban traffic, Proc. European Simulation Symposium, ESS’2001, Marseille, Oct. 2001, 382-386.
[d46] Hartley J., Bargiela A., Decision support for planning multi-modal urban travel, Proc. European Simulation Symposium, ESS’2001, Marseille, Oct. 2001, 387-391.
[d45] Bargiela A., Peytchev E., Intelligent transportation systems: Towards integrated framework for traffic/transport telematics applications, Proc. IEEE Vehicular Technology Conference, Atlantic City, Oct. 6-10, 2001, doi: 10.1109/VTC.2001.956863 URL
[d44] Arsene C., Bargiela A., Decision support for forecasting and fault diagnosis in water distribution systems – robust loop flows estimation technique, Proc. Water Software Systems: theory and applications, Research Studies Press, Vol.1, 133-145, 2001.
[d43] Pedrycz W., Bargiela A., Information granulation: a search for data structures, Proc. 5th Int. Conf. Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies (KES 2001), Osaka, Sept. 2001, 1147-1151
[d42] Bargiela A, Pedrycz W, Classification and clustering of granular data, Proc. of IFSA/NAFIPS'2001, Vancouver, July 2001, doi: 10.1109/NAFIPS.2001.943807 URL
[d41] Bargiela A, Pedrycz W, Granular clustering with partial supervision - the development of abstract models for simulation, Proc. European Simulation Multiconference ESM'2001, Prague, June 2001, 113-120.
[d40] Wagealla W., Osman T. Bargiela A., Error detection algorithm for agent-based distributed applications, Proc. Agent-Based Simulation Workshop 2001, Passau, Germany May, 2001
[d39] Penev K, Claramunt K., Bargiela A., A multi-level approach to the integration of traffic data within GIS, Proc. GISUK conference Dec. 2000.
[d38] Kosonen I., Bargiela A., Simulation based traffic information system, Proc. Seventh World Congress on Intelligent Transport Systems, 6-9 November 2000, Turin, Italy.
[d37] Pedrycz W, Smith M.H., Bargiela A, Granular signature of data, Proc. 19th Int. (IEEE) Conf. NAFIPS'2000, Atlanta, July 2000, pp.69-73, doi: 10.1109/NAFIPS.2000.877387
[d36] Osman T and Bargiela A., Fault-Tolerance for Mobile Agent Systems and Applications, Proceedings of: Agent-Based Simulation Workshop 2000, Passau, Germany May 2-3, 2000
[d35] Kosonen, I., Bargiela, A., Real time microsimulation of urban traffic, Proc. INFORMS’2000, Salt Lake City, May 2000.
[d34] Peytchev E., Bargiela A., On-line mobile passenger information system, Proc. Int. Workshop on Harbour, Maritime and Industrial Logistics Modelling and Simulation - HMS, Genoa, Sept. 1999.
[d33] Claramunt, C., Bargiela, A. and E. Peytchev, A real-time GIS for the analysis of a traffic system, Proceedings of the 5th IEEE Africon'99 Conference, Cape Town, South Africa, The IEEE Society, Sept. 1999, pp.15-20, doi: 10.1109/AFRCON.1999.820669 URL
[d32] Bargiela A, Peytchev E., Berry R., Experiences with a distributed traffic telematics environment - portable travel information sys­tem, Proc. IEEE - AFRICON’99 Conf., Sept. 1999, ISBN 0-7803-5546-6, pp.7-12, doi: 10.1109/AFRCON.1999.820667 URL
[d31] Peytchev E., Bargiela A., Traffic Telematics Software Environment, Proc. European Simulation Symposium ESS’98, Oct. 1998, ISBN 1-56555-147-8, pp.378-382.
[d30] Kosonen I., Bargiela A., Claramunt C., A distributed traffic monitoring and information system, Proc. European Simulation Symposium ESS’98, Oct. 1998, ISBN 1-56555-147-8, pp.355-361.
[d29] Gabrys B., Bargiela A., Simulation of Water Distribution Networks, Proc. European Simulation Symposium ESS’98, Oct. 1998, ISBN 1-56555-147-8, pp.273-277.
[d28] Hartley J., Bargiela A., XTPML - Simplifying the Development of Parallel Programs for Implementation on Various Transputer Architectures, Proc. European Simulation Symposium ESS’98, Oct. 1998, ISBN 1-56555-147-8, pp.119-123.
[d27] Etches, A., Claramunt, C., Bargiela, A., Kosonen, I., An integrated temporal GIS-model for traffic system, Proc. Geographic Information Systems Research Conference (GISUK), April 1998, Edinburgh, UK.
[d26] Muhammad A., Bargiela A., King G., Fine-Grained Parallel Genetic Algorithm: A Sto­chastic Optimisation Method, Proc. of 1st World Congress on Systems Simulation, Singapore, Sept. 1997, ISBN 1-56555-114-1, pp.199-203
[d25] Osman T., Bargiela A., Process Checkpointing in an Open Distributed Environment, Proc. of European Simulation Multiconference, ESM'97, Istambul, June 1997, ISBN 1-565555-115 X, pp. 536-540.
[d24] Peytchev E., Bargiela A., Gessing R., A Predictive Macroscopic City Traffic Flows Simulation Model, Proceedings of European Simulation Symposium ESS'96, Genoa, October 1996, ISBN 1-565555-099-4 (Vol.2), pp.38-42.
[d23] Hartley J., Bargiela A., Probabilistic Simulation of Large-scale Water Distribution Systems, Proceedings of European Simulation Symposium ESS'96, Genoa, October 1996, ISBN 1-565555-099-4 (Vol.2), pp.403-407.
[d22] Gabrys B., Bargiela A., Integrated Neural Based System for State Estimation and Confidence Limit Analysis in Water Networks, Proceedings of European Simulation Symposium ESS'96, Genoa, 1996, ISBN 1-565555-099-4, pp.398-402
[d21] Argile A., Peytchev E., Bargiela A., Kosonen I., DIME: A Shared Memory Environment for Distributed Simulation, Monitoring and Control of Urban Traffic, Proceedings of European Simulation Symposium ESS'96, Genoa, 1996, pp.152-156.
[d20] Argile A., Bargiela A., Using the X11 Windows System to Support the Bulk Synchronous Model of Parallel Computa­tion, Proc. IFIP/IEEE Int. Conf. on Distributed Platforms, Dresden, 1996, ISBN 3 86012 023 9, pp. 308-313.
[d19] Peytchev E., Bargiela A., Parallel simulation of city traffic using “PADSIM”, Proc. of Modelling and Simulation Con­ference ESM’95, Prague, June 1995, ISBN 1-56555-080-3, pp. 330-334.
[d18] Bargiela A., High performance neural optimisation for real-time pressure control, Proc. of High Perform­ance Computing Conference, HPC Asia’95, Taipei, Sept. 1995, Chap. AL34, pp. 1-8.
[d17] Gabrys B., Bargiela A., Neural simulation of water systems for efficient state estimation, Proc. of Modelling and Simu­lation Conference ESM’95, Prague, June 1995, ISBN 1-56555-080-3, pp. 775-779
[d16] Osman T., Bargiela A., Error detection for reliable distributed simulations, Proc. of European Simulation Symposium, Proc. of 7th European Simulation Symposium ESS’95, Erlangen-Nuremberg, October 1995, ISBN 1-56555-083-8, pp. 358-362
[d15] Hartley J., Bargiela A., Cant R., Parallel simulation of large scale water distribution systems, Proceedings of Modelling and Simulation Conference ESM’95, Prague, June 1995, ISBN 1-56555-080-3, pp. 723-727.
[d14] Peytchev E., Bargiela A., Micro simulation of city traffic in support of predictive operational control, Proc. 10th Int. Conf. on Systems Engineering, ISCE’94, Coventry, Sept. 1994, ISBN 0 905 94923 4, pp. 934-941.
[d13] Argile A., Bargiela A., XDSM - an X11 based virtual distributed shared memory system, Proc. of 2nd Int. Conf. on Software for Supercomputers and Multiprocessors, SMS’94, Moscow, 1994, pp. 250-259.
[d12] Hartley J.K., Bargiela A., TPML: Parallel meta-language for scientific and engineering computations using transputers (TPML), Proc. of 2nd Int. Conf. on Software for Supercomputers and Multiprocessors, SMS’94, 1994, pp. 22-31
[d11] Bargiela A., Parallel and distributed telemetry data processing, Proceedings of Parallel Computing and Transputers Conference, PCAT’93, Brisbaine, 1993, ISBN 90 5199 1495, pp. 269-275.
[d10] Bargiela A., Managing uncertainty in operational control of water distribution systems, Int. Conf. On Computing and Control in Water Industry, Leicester, 1993.
[d9] Hartley J.K., Bargiela A., Utilisation of smoothing formulae for describing hydraulic relationships in water networks, Int. Conf. On Computing and Control in Water Industry, Leicester, 1993.
[d8] Argile A., Bargiela A., Using X11 Windows to provide shared task memory in distributed computer systems, , Int. Conf. On Computing and Control in Water Industry, Leicester, 1993.
[d7] Bargiela A., Hosseinzaman A., Parallel simulation of nonlinear networks using diakoptics, Proceedings of Int. Conf. on Paral­lel Computing and Transputer Applications PACTA ‘92, (Eds.) M Valero at.all, Barcelona, Sept. 1992, ISBN 84 87867 138, pp. 1463-1473.
[d6] Bargiela A., Nonlinear network tearing algorithm for transputer system implementation, Proc. of Int. Conf. TAPA ‘92, Melbourne, November 1992, ISBN 905199115 0, pp. 19-24.
[d5] Bargiela A., A graphical interactive software tool for confidence limit analysis, Proc. of AWWA Con­ference on Computers and Automation in the Water Industry, Denver, CO, 2-4 April 1989, pp. 193-204.
[d4] Hainsworth G., Bargiela A., Optimal telemetry system for water networks, Proc. of Int. Symposium on Optimal Modelling of Water Distribution Systems, Lexington, K.Y., May 1988, pp. 181-200.
[d3] Bargiela A., Hainsworth G., Telemetry design with TCLAS software in Computer Appli­cations in Water Supply, Proc. Int. Conf. on Computer Applications for Water Supply and Distribution, Leicester, 1987.
[d2] Bargiela A., Hainsworth G., Confidence limit analysis in water systems, , Proc. Int. Conf. on Computer Applications for Water Supply and Distribution, Leicester, 1987.
[d1] Bargiela A., Sterling M., Detection of water leakage and measurement errors in distribution networks, Proc. of Com­puter Applications for Water Supply and Distribution Conference, Leicester, Sept. 1983.

Invited Lectures

[e31] Bargiela, A, Granular Computing - Computational framework for information abstraction in complex systems, Naval Academy Research Institute, Brest, France, Nov. 2016. PPT
[e30] Bargiela, A, Towards better understanding of retinal information processing, (Seminar Lecture), University of Canterbury, Christchurch, NZ, Apr. 2014. PPT
[e29] Bargiela, A, Computing with information granules (learning from the divided brain), (Seminar Lecture), University of Canterbury, Christchurch, NZ, March 2014. PPT
[e28] Bargiela, A, Granular computing - methodology, algorithms and applications, (Seminar Lecture), Krakow University of Technology, Apr. 2013. PPT
[e27] Bargiela, A, Balancing interpretability and representativeness of information granules, (Keynote Lecture), IFSA World Congress, IFSA 2011, Surabaya, June 2011. PPT
[e26] Bargiela, A, Is it possible to evaluate interpretability in a computational way?, (Plenary Panel on Computational Intelligence and Knowledge-Based System Interpretability, World Congress on Computational Intelligence (WCCI 2010), Barcelona, July 2010 PPT
[e25] Bargiela, A, Faces of uncertainty: From uncertain times to Granular Computing, ("Honoured Academic" Award acceptance lecture), Silesian Technical University, October 1, 2009, Gliwice, Poland PPT
[e24] Bargiela, A, Human-Centric Information Processing, Methods and Processing Environments, (Plenary Panelist), IEEE SMC Conference, Singapore, 14th October 2008 PPT
[e23] Bargiela, A, Interactive information granulation: A human-centric information processing, (keynote lecture), Information Technology in Biomedicine, ITiB 2008, June 18-20 2008, Kamien Polski, Poland PPT
[e22] Bargiela, A., Granular Computing – computing with real world interactions, (research seminar lecture), Interaction in Physics, Computing and Mathematics, Mathematics Institute, University of Warwick, February, 2007. PPT
[e21] Bargiela A., Granular Computing as a formal framework for human-centred information processing, Invited lecture, Konan University, Kobe, Japan, Jan. 2005. PPT
[e20] Bargiela A., Neural Networks and Data Mining, cycle of lectures to postgraduate students, Tokyo Institute of Technology, Jan. 2005 PPT,
1, 2, 3
[e19] Bargiela A., Understanding “intelligence” in Intelligent Transport Systems (ITS), Invited Lecture at International Seminar on World EXPO and ITS Standardisation, Shanghai, November 2004. PPT
[e18] Bargiela A., Foundations of Software Engineering of Granular Systems - Granular Computing and Hypercomputation, 23rd Int. Conf. of the North American Fuzzy Information Processing Society - NAFIPS 2004, Summer School lecture, Banff, June 2004 PPT
[e17] Bargiela A., Hypercomputational characteristics of Granular Computing, 1st Warsaw Int. Seminar on Intelligent Systems - WISIS 2004, Invited lectures, Warsaw, May 2004.
[e16] Bargiela A., Granular Computing: Principles and applications, (Lecture cycle), Helsinki University of Technology, February, 2004.
[e15] Bargiela A., Fuzzy Hyperbox Classification, (Plenary Lecture), WISC’2003, Warsaw, Poland, Nov. 2003
[e14] Bargiela A., Granular Computing, Invited Cycle of Lectures for PhD students, University of Bari, Italy, July, 2003 PPT
1, 2, 3
[e13] Bargiela A., Synergistic information processing, Invited lecture, Konan University, Department of Intelligence and Informatics, Kobe, Japan, Oct. 2002.
[e12] Bargiela A., Information and uncertainty in systems modeling, Invited lecture, Osaka Prefecture University, Graduate School of Engineering, September 2001
[e11] Bargiela A., Granular clustering with partial supervision, Research Workshop presentation, Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, September 2001
[e10] Bargiela A., Computational Intelligence in software design and maintenance, Panel Discussion contribution, IFSA/NAFIPS’2001, Vancouver, July 2001
[e9] Bargiela A., Strategic directions in simulation and modelling, Plenary Discussion Panel contribution, Summer Computer Simulation Conference SCSC2000, Vancouver, July 2000
[e8] Bargiela, A., Strategy for Simulation and Modelling research, Plenary Lecture, European Simulation Multiconference ESM’2000, Gent, May 2000.
[e7] Bargiela A., Research challenges in simulation and modelling, Invited lecture – University of Laval, Quebeck, Canada, May 2000.
[e6] Bargiela A., Operational decision support through confidence limit analysis and pattern classification, Keynote lecture, 5th Int. Conference on Computer Simulation and Artificial Intelligence, Mexico City, Feb. 2000
[e5] Bargiela A., Strategic directions in simulation and modelling, Invited paper – CPHC Research Strategy Workshop, Manchester University, Jan. 2000.
[e4] Bargiela, A., The advantage of being uncertain in modelling and simulation of systems, Invited Lecture, Helsinki University of Technology, Oct. 1999
[e3] Bargiela A., Uncertainty - A Key to Better Understanding of Systems, (Plenary Lecture), Proc. European Simulation Symposium ESS’98, Oct. 1998, ISBN 1-56555-147-8, pp.11-19.
[e2] Bargiela A., Inaugural Professorial Lecture: The advantage of being uncertain in systems modelling, Nottingham, 1997 PPT
[e1] Bargiela A., From off-line to on-line techniques for leakage detection and water network control, (invited lecture), Las Tecnologias de Vanguardia en la Gestion Integral del Agua, ADASA Seminar, Barcelona, November 1988.

Technical Report

[f1] Wang Wei, Barnaghi P, Bargiela A., The anatomy and design of a semantic search engine, TR1, School of Computer Science, UNMC, 2008 PDF

Professional magazines

[g1] Bargiela A., Berry R., Every BIT counts: Enhancing the benefits of UTC through distributed applications, Traffic Technology International, February/March 1999, pp. 63-66. PDF


Citations

Andrzej Bargiela
Most-cited, first-authored publication in the School (Google Scholar pages (Oct 2014))
Scopus citation report (09/05/2017)
Web of Science citation report (02/10/2014)
Research Gate listing of the impact of publications (04/11/2014)