Publicaes e Comunicaes

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6.10 Publicações e Comunicações

6.10.1 Livros

L1.: Catarina Silva and Bernardete Ribeiro, “Inductive Inference for Large Scale Text Categorization: Kernel Approaches and Techniques”, (Studies in Computational Intelligence, Vol. 255), 156 p., Springer-Verlag, Heidelberg, Berlin Germany, 2010. (ISBN 978-3-642-04532-5)
L2.: B. Ribeiro, Engenharia da Programação e dos Processos Algorítmicos, (Ed: VicentImagem), Dezembro, 1998. (ISBN: 972-8525-00-1, 439 p.)

LP1.: Catarina Silva and Bernardete Ribeiro, “Aprendizagem Computacional em Engenharia, FCA, 2010. (em preparação)

6.10.2 Edições de Livros

E1.: Beliczynski, B. and Dzielinski, A. and Iwanowski, M. and Ribeiro, B., “Adaptive and Natural Computing Algorithms Part I”, Vol. 4431, Lecture Notes in Computer Science (LNCS), ISBN 978-3-540-71589-4, Springer-Verlag, Heidelberg, Berlin Germany, 2007.
E2.: Beliczynski, B. and Dzielinski, A. and Iwanowski, M. and Ribeiro, B., “Adaptive and Natural Computing Algorithms Part II”, Vol. 4432, Lecture Notes in Computer Science (LNCS), ISBN 978-3-540-71590-0, Springer-Verlag, Heildelberg-Berlin Germany, 2007.
E3.: B. Ribeiro, A. Albrecht, A. Dobnikar, D.W. Pearson and N. Steele (eds.), “Adaptive and Natural Computing Algorithms”, Proc. of International Conference on Adaptive and Natural Computing Algorithms, Springer-Verlag, Wien, 2005.
E4.: A. Dourado, F. Silva Leite, T. Pedroso Lima, F. Cardoso, J. Dias, N. Oliveira, B. Ribeiro (Eds.), Proc. of the 3rd Portuguese Conference on Automatic Control - Controlo’98, 2 Volumes, 9–11 de Setembro, Coimbra, 1998. (ISBN: 972-97025-1-9) (co-editor)

6.10.3 Capítulos de Livros com Referees Internacionais

CL1.: Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, “Feature Mining and Pattern Recognition in Steganalysis and Digital Forensics: Example Study of JPEG Images” in Advances in Pattern Recognition, Machine Intelligence and Biometrics–Expanding, (Eds.) P. Wang, Springer, 2011. (to appear)
CL2.: Bernardete Ribeiro, “Learning Adaptive Kernels for Model Diagnosis”, Vol. 104, Frontiers in Artiﬁcial Intelligence and Applications, pp. 563–571, (Eds. A. Abraham, M. Köppen, K. Franke), IOS Press, December, 2003. (ISBN: 1-58603-394-8)
CL3.: B. Ribeiro, P Carvalho , “Mercer’s Kernel Based Learning” in Soft Computing: Design, Management and Applications, pp. 341–350, (Eds. A. Abraham, J. Ruiz-del-Solar e M. Köppen), Frontiers in Artiﬁcial Intelligence and Applications, IOS Press, 2002. (ISBN: 1-58603-297-6)
CL4.: Catarina Silva, Bernardete Ribeiro, “A Modular Constructive Approach to Mobile Robot Navigation” in Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, pp. 313–317, (Eds. N. Baba, L.C. Jain & R. J. Howlett), IOS Press, 2001. (ISBN:1-58603-192-9).
CL5.: Dimirovski, G., A. Dourado, E. Ikonen, U. Kortela, J. Pico, B. Ribeiro, M. Stankovski and E. Tulunay, “Learning Control of Thermal Systems”. In: K.Åström, P. Albertos, M. Blanke, A. Isidori, W Schaufelberger and R. Sanz (Eds.) in Control of Complex Systems, pp. 317–338, Springer-Verlag, London, 2001. (ISBN: 1-85233-324-3)
CL6.: B. Ribeiro and A. Dourado, “Lime Kiln Simulation and Control by Neural Networks”., in “Neural Networks for Chemical Engineers”, (Ed: Bulsari), Elsevier Science Publishers, Chap 7, pp. 163–191, North-Holland, 1995. (ISBN 0-444-82097-3)
CL7.: B. Ribeiro and A. Dourado, “Industrial Lime Kiln Computer Dynamic Simulation for Improving Eﬃciency”, in Energy Eﬃciency in Process Technology, (Ed. P.A. Pilavachi), Elsevier Science Publishers, pp. 779–788, London, 1993. (ISBN 1-85861-019-2).

6.10.4 Artigos em Revistas Internacionais

J1.: Ning Chen, Armando S. Vieira, João Duarte, Bernardete Ribeiro, and João C. Neves, “A Stable Credit Rating Model based on LVQ”, Intelligent Data Analysis - an International Journal, IOS Press, 2010. (IF: 0.426) (accepted)
J2.: Q. Liu, A. Sung, M. Qiao, Z. Chen and B. Ribeiro, “An Improved Approach for Steganalysis of JPEG Images”, Information Sciences, Elsevier, Volume 180, Issue 9, pp. 1643–1655, May, 2010. (IF: 3.095) (doi: http://dx.doi.org/10.1016/j.ins.2010.01.001)
J3.: Catarina Silva, Uros Lotric, Bernardete Ribeiro and Andrej Dobnikar,“Distributed Text Classiﬁcation with an Ensemble Kernel-based Learning Approach”, IEEE Transactions on Systems, Man and Cybernetics SMC - Part C: Applications and Reviews, 2010. (IF: 1.375))(doi: http://dx.doi.org/10.1109/TSMCC.2009.2038280)
J4.: Ning Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, and João C. Neves, “ Incorporate Cost Matrix into Learning Vector Quantization Modeling: a Comparative Study of Genetic Algorithm, Simulated Annealing and article Swarm Optimization, International Journal of Computer Theory and Engineering, IJCTE, 2010. (to appear)
J5.: Bartlomiej Beliczynski and Bernardete Ribeiro, “Some Enhancements to Approximation of One-Variable Functions by Orthonormal Basis”, Neural Network World, pp. 401–412, 2009. (IF: 0.395)
J6.: Liu, Q. and Sung, A. and Ribeiro, B. , “Image Complexity and Feature Mining for Steganalysis of Least Signiﬁcant Bit Matching Steganography”, Information Sciences, Vol. 178, # 1, pp. 21–36, Elsevier Science Inc. New York, NY, USA, January, 2008. (IF: 3.095) (doi: http://dx.doi.org/10.1016/j.ins.2007.08.007)
J7.: Ferreira, J. and Crisóstomo, M. and Coimbra, P. and Ribeiro, B. , “Control of a biped robot with support vector regression in sagittal plane”, IEEE Transactions on Instrumentation and Measurement, 58 (9), pp. 3167–3176, 2009. (IF: 0.978) (doi: http://dx.doi.org/10.1109/TIM.2009.2017148)
J8.: Ribeiro, B. and Marques, A. C. and Henriques, J. O. and Antunes, M. , “Choosing Real-Time Predictors For Ventricular Arrhythmias Detection”, International Journal of Pattern Recognition and Artiﬁcial Intelligence, Vol. 21, # 8, pp. 1–15, World Scientiﬁc Publishing Co., December, 2007. (IF: 0.660) (doi: http://dx.doi.org/10.1142/S0218001407005934)
J9.: Silva, C. and Ribeiro, B. , “Towards Expanding Relevance Vector Machines to Large Scale Datasets”, International Journal of Neural Systems, Vol. 18 (1), pp. 45–58, World Scientiﬁc Publishing Co., February, 2008. (IF: 0.901) (doi: http://dx.doi.org/10.1142/S0129065708001361)
J10.: Silva, C. and Ribeiro, B. , “On Text-based Mining with Active Learning and Background Knowledge using SVM”, Journal of Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 11(6), pp. 519–530, Springer Verlag, January, 2007. (IF: 0.984) (doi: http://dx.doi.org/10.1007/s00500-006-0080-8
J11.: Silva, C. and Ribeiro, B. , “RVM Ensemble for Text Classiﬁcation”, International Journal of Computational Intelligence Research, Vol. 3(1), pp. 31–35, January, 2007. (indexed by Thomson Scientiﬁc Web and www.scopus.com)
J12.: Beliczynski, B. and Ribeiro, B. , “Tuning Parameters of the Simple Forecasting Models”, Journal of Electrotechnical Review, Vol. 1, # 5, pp. 104–108, (Przeglad Elektrotechniczny), December, 2006. (indexed by Thomson Scientiﬁc Web and www.scopus.com)
J13.: Silva, C. and Ribeiro, B. , “Rare Class Text Categorization with SVM Ensemble”, Journal of Electrotechnical Review (Przeglad Elektrotechniczny), Vol. 1, pp. 28–31, January, 2006. ((ndexed by Thomson Scientiﬁc Web and www.scopus.com)
J14.: Mukkamala, S. and Sung, A. and Ribeiro, B. and Vieira, A. , “Computational Intelligent Techniques for Financial Distress Detection”, Journal of Computational Intelligence Research (IJCIR), Vol. 2, # 1, pp. 60–65, Research India Publications, January, 2006.
J15.: Ribeiro, B. , “On the Evaluation of Minkovsky Kernel for SVMs”, Neural Parallel & Scientiﬁc Computations, Vol. 13, pp. 77–90, Dynamic Publishers, March, 2005.(ISSN 1061–5369)
J16.: Bernardete Ribeiro, “Support Vector Machines For Quality Monitoring in a Plastic Injection Molding Process”, IEEE Transactions on Systems, Man and Cybernetics SMC - Part C: Applications and Reviews, Vol. 35, # 3, pp. 401–410, IEEE, August 2005. (IF: 1.375) (doi: http://dx.doi.org/10.1109/TSMCC.2004.843228)
J17.: Ribeiro, B. , “Selective Classiﬁcation and Regression Models Based on Support Vector Clustering”, Neural, Parallel & Scientiﬁc Computations, Vol. 13, pp. 327–336, Dynamic Publishers, December 2005.(ISSN 1061–5369)
J18.: Bernardete Ribeiro, “Computational Intelligence in Manufacturing Quality Control”, Prezeglad Elektrotechiniczny (Electrotecnical Review Journal), V. 80, nr. 4, pp. 286–290, March, 2004. (indexed by Thomson Scientiﬁc Web and www.scopus.com)
J19.: C. Silva, B.Ribeiro, “Navigating Mobile Robots with a Modular Neural Network”,Neural Computing & Applications Journal, Springer Verlag, Vol. 12 , no 3–4 , pp. 200–211, Springer Verlag, November, 2003. (ISSN: 0941-0643) (IF: 0.767) (doi: http://dx.doi.org/10.1007/s00521-003-0383-y)
J20.: Bernardete Ribeiro and A. Kovačec, “Triangle with Vertices Circunscribing an Ellipse”, Solution to Problem 29-2, International Linear Algebra Society (ILAS) Bulletin, IMAGE, Vol. 30, pp. 23, April, 2003.
J21.: Bernardete Ribeiro and A. Kovačec, “Product of Companion Matrices”, Solution to Problem 29-6, International Linear Algebra Society (ILAS) Bulletin, IMAGE, Vol. 30, pp. 26, April, 2003.
J22.: Bernardete Ribeiro and A. Kovačec, “Complementary Principal Submatrices and Their Eigenvalues”, Solution to Problem 29-7, International Linear Algebra Society (ILAS) Bulletin, IMAGE, Vol. 30, pp. 26–27, April, 2003.
J23.: Bernardete Ribeiro and A. Kovačec, “A Class of {0,1}-Matrices Containing Constant Column Sum Submatrices”, International Linear Algebra Society (ILAS) Bulletin, IMAGE, Vol. 30, pp. 36, April, 2003.
J24.: Noel Lopes, Bernardete Ribeiro, “An eﬃcient Gradient-Based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons”, Neural, Parallel and Scientiﬁc Computations Journal, Vol. 11, pp. 253–272, September, 2003. (ISSN 1061–5369)
J25.: Filipe Araújo, Bernardete Ribeiro, and Luís Rodrigues, “A Neural Network for Shortest Path Computation”, IEEE Transactions on Neural Networks, Vol. 12, N $^{o}$ 5, pp. 1067 –1073, September, 2001. (IF: 3.726) (doi: http://dx.doi.org/10.1109/72.950136)
J26.: P. Carvalho, N. Costa, B. Ribeiro, A. Dourado, “On the use of neural networks and geometrical criteria for localisation of highly irregular elliptical shapes”, Pattern Analysis and Applications, Vol. 2, No. 4, pp. 321–342, 1999. (IF: 1.367) (doi: http://dx.doi.org/10.1007/s100440050040)
J27.: P. Carvalho, N. Costa, B. Ribeiro, A. Dourado, “Industrial Visual Inspection of Lime Granules By Neural Networks”, Int. Journal on Computers & Industrial Engineering, Vol. 35, n $^{o}$ 3–4, pp. 539–542, December, 1998. (IF: 1.057) (doi: http://dx.doi.org/10.1016/S0360-8352(98)00153-3)

6.10.5 Artigos Submetidos em Revistas Internacionais

SJ1.: Branko Ster, Bernardete Ribeiro and Catarina Silva, “Variational Inference using Renyi Entropy Measures”. (em preparação)
SJ2.: Bernardete Ribeiro, Armando Vieira, Ning Chen, J C Neves “Financial Distress Model Prediction using Privileged Information”, International Journal of Neural Systems, 2010. (submetido)
SJ3.: Noel Lopes and Bernardete Ribeiro, “High Performance Multiple Feed-Forward Networks on Many-Core Graphics Processing Units”, International Journal of Neural Systems, 2010. (submetido)
SJ4.: F. Mendes , J. Duarte , A. Vieira , B. Ribeiro , A. Ribeiro , J. Neves , A. Gaspar-Cunha “Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach”, International Journal of Natural Computing Research (IJNCR), 2010. (invited)
SJ5.: Ning Chen, A. Vieira, B Ribeiro, J Duarte, J. C. Neves, “A genetic algorithm-based approach to cost-sensitive bankruptcy prediction”, Expert Systems with Applications, 2010. (submetido)
SJ6.: Catarina Silva, Uros Lotric, Bernardete Ribeiro and Andrej Dobnikar, “Text Classiﬁcation in a Computational Grid Environment”, Cluster Computing, 2009. (submetido)

6.10.6 Artigos em Actas de Conferências Internacionais com Arbitragem

CI 1.: Bernardete Ribeiro, Catarina Silva, Armando Vieira, A Gaspar-Cunha, João C Neves, “Financial Distress Prediction using SVM+”, IEEE-IJCNN International Joint Conference on Neural Networks , World Congress on Computational Intelligence, Barcelona, Spain, Julho 2010. (aceite)
CI 2.: Noel Lopes Bernardete Ribeiro, “A Strategy for Dealing with Missing Values by Using Selective Activation Neurons on a Multi-Topology Framework”, IEEE-IJCNN International Joint Conference on Neural Networks , World Congress on Computational Intelligence, Barcelona, Spain, Julho 2010. (aceite)
CI 3.: Bernardete Ribeiro and Noel Lopes, “High-Performance Bankruptcy Prediction Model using Graphics Processing Units”, Proc of IEEE-IJCNN International Joint Conference on Neural Networks , World Congress on Computational Intelligence, Barcelona, Spain, Julho 2010. (aceite)
CI 4.: Catarina Silva, Bernardete Ribeiro and Noel Lopes, “Improving Recall Values in Breast Cancer Diagnosis with Incremental Background Knowledge”, IEEE-IJCNN International Joint Conference on Neural Networks , World Congress on Computational Intelligence, Barcelona, Spain, Julho 2010. (aceite)
CI 5.: Ning Chen, Bernardete Ribeiro, Armando S. Vieira, João Duarte and João C. Neves, “Hybrid Genetic Algorithm and Learning Vector Quantization Modeling for Cost-Sensitive Bankruptcy Prediction”, Int Conf on Machine Learning and Computing, Bangalore, India, Feb 9–11, 2010.
CI 6.: N Lopes and B Ribeiro, “Stochastic-based Multithread Implementation of Multiple-Back Propagation”, Proc. of the Int Conf on Agents and Artiﬁcial Intelligence (ICAART), Vol. 1 - Artiﬁcial Intelligence, pages 271–276. INSTICC Press, 2010.
CI 7.: N Lopes and B Ribeiro, “GPU Implementation of Multiple-Back Propagation”, Proc. of International Conference on Intelligent Data Engineering and Automated Learning, In E. Corchado and H. Yin, editors, IDEAL, vol. 5788, Lecture Notes in Computer Science (LNCS), pp. 449–456. Springer-Verlag, 2009.
CI 8.: C Silva and B Ribeiro, “Knowledge Extraction with Non-Negative Matrix Factorization for Text Classiﬁcation”, IDEAL 2009, In E. Corchado and H. Yin, editors, IDEAL, vol. 5788, Lecture Notes in Computer Science (LNCS), pp. 300–308, Springer-Verlag, 2009.
CI 9.: N. Lopes and B. Ribeiro, “Fast Pattern Classiﬁcation of Ventricular Arrhythmias using Graphics Processing Units”, In Proc.of 14th Iberoamerican Congress on Pattern Recognition, vol. 5856, Lecture Notes in Computer Science (LNCS), pp. 603–610. Springer-Verlag, 2009.
CI 10.: Chen, N., Vieira, A.S., Duarte, J., Ribeiro, B., Neves, J.C.: “Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction”. In: Lopes L.S. et al. (eds.), EPIA 2009, Springer-Verlag, Lecture Notes in Artiﬁcial Intelligence (LNAI) vol. 5816, pp. 374–385, 2009.
CI 11.: C Silva and B Ribeiro, “Improving Text Classiﬁcation Performance with Incremental Background Knowledge”, in Proc. of the Artiﬁcial Neural Networks (ICANN), pp. 923–931 , Vol. 5768, Marios Polycarpou et al. (Eds), Lecture Notes in Computer Science (LNCS) , Springer Berlin / Heidelberg, September 2009
CI 12.: C Silva and B Ribeiro, “Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning”, Proc. of the International Conference on Adaptive and Natural Computing Algorithms, M. Kolehmainen et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, pp. 370–379, ICANNGA 2009, Kuopio, Finland, April, 2009.
CI 13.: B Ribeiro, C Silva, A Vieira and J Carvalho das Neves, “Extracting Discriminative Features Using Non-Negative Matrix Factorization in Financial Distress Data”, Proc. of the International Conference on Adaptive and Natural Computing Algorithms, M. Kolehmainen et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, pp. 537–547, ICANNGA 2009, Kuopio, Finland, April, 2009.
CI 14.: A Vieira, J Duarte, B Ribeiro, and J. Carvalho das Neves, “Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms”, Proc. of the International Conference on Adaptive and Natural Computing Algorithms, M. Kolehmainen et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, pp. 569–576, ICANNGA 2009, Kuopio, Finland, April, 2009.
CI 15.: Q Liu, A H. Sung, B Ribeiro and M Qiao, “Classiﬁcation of Mass Spectrometry Data Using Manifold and Supervised Distance Metric Learning”, Proc. of International Conference on Bio-Inspired Systems and Signal Processing, pp. 396–401, Porto, Portugal, January, 2009.
CI 16.: Q Liu, A H. Sung, B Ribeiro and M Qiao, “Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis”, Proc. of International Conference on Agents and Artiﬁcial Intelligence, pp. 226–231, Porto, Portugal, January, 2009.
CI 17.: B Ribeiro, A Vieira, J Duarte, C Silva, J C das Neves, Q Liu, and A H. Sung, “Learning Manifolds for Bankruptcy Analysis”, M. Köppen et al. (Eds.): ICONIP 2008, Part I, LNCS 5506, pp. 722–729, Springer-Verlag Berlin Heidelberg, 2009.
CI 18.: A. S. Vieira, J. Duarte, B. Ribeiro and J. C. Neves, “Improving Personal Credit Scoring with HLVQ-C”, Köppen et al. (Eds.): ICONIP 2008, Part I, LNCS 5506, pp. 97–103, 2009. Springer-Verlag Berlin Heidelberg, 2009.
CI 19.: Silva, C. and Ribeiro, B. , “Selecting Examples in Manifold Reduced Feature Space for Active Learning”, in Proc. of the Seventh IEEE International Conference on Machine Learning and Applications, pp. 54–59, IEEE ICMLA 2008, San Diego, USA, December 2008.
CI 20.: Ribeiro, B. and Vieira, A. and Duarte, J. and Silva, C. and Neves, J. and Liu, Q. and Sung, A. , “Bankruptcy Analysis for Credit Risk using Manifold Learning”, in Proc. of the ICONIP 2008, International Conference on Neural Information Processing, Auckland, New Zealand, November 2008.
CI 21.: Silva, C. and Ribeiro, B. , “Text Classiﬁcation on Embedded Manifolds”, in Proc. of the 11th Ibero-American Conference on Artiﬁcial Intelligence, Lecture Notes In Artiﬁcial Intelligence (LNAI), Springer, pp. 272–281, IBERAMIA 2008, Lisbon, Portugal, October 2008.
CI 22.: Ribeiro, B. and Cardoso, A. J. , “Evaluation System for E-Learning with Pattern Mining Tools”, in Proc of IEEE International Conference on Systems, Man and Cybernetics (SMC 2008), pp. 3051–3056, Singapore, October, 2008.
CI 23.: Ribeiro, B. and Henriques, J. O. and Marques, A. C. and Antunes, M. , “Manifold Learning for Premature Ventricular Contractions Detection”, in Proc. of the Conference on Computers in Cardiology, Bologna, Italy, Vol. 35, September 2008.
CI 24.: Ribeiro, B. and Vieira, A. and Neves, J. , “Supervised Isomap with Dissimilarity Measures in Embedding Learning”, in Proc. of the Ibero-American Conference on Pattern Recognition, Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science (LNCS), Springer Berlin / Heidelberg, pp. 389–396, Vol. 5197, September 2008.
CI 25.: B. Beliczynski and B. Ribeiro. Several enhancements to Hermite-based approximation of one-variable functions. In V. Kurkova, R. Neruda, and J. Koutnik, editors, 18th International Conference on Artiﬁcial Neural Networks ICANN 2008, Prague, Czech Republic, September 3-6, 2008. Proceedings Part, volume 5163 of Lecture Notes in Computer Science (LNCS), pages 11–20. Springer-Verlag, 2008.
CI 26.: R. Basnet, Torres, G. and Sung, A. and Mukkamala, S. and Ribeiro, B. , “A Similarity Measure for Clustering and its Applications”, in Proc. of the World Academy of Science, Engineering and Technology, pp. 490–496, Vol. 31, World Academy of Science, Engineering and Technology, Vienna, July 2008.
CI 27.: Silva, C. and Ribeiro, B. and Lotric, U. and Dobnikar, A. , “Distributed Ensemble Learning in Text Classiﬁcation”, in Proc. of the International Conference on Enterprise Information Systems, pp. 420–423, ICEIS 2008, Barcelona, Spain, June 2008.
CI 28.: Ferreira, R. and Ribeiro, B. and Silva, C. and Liu, Q. and Sung, A. , “Building Resilient Classiﬁers for LSB Matching Steganography”, in Proc. of the IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks (IJCNN), WCCI 2008, pp. 1562–1567, Hong Kong, China, June 2008.
CI 29.: Liu, Q. and Sung, A. and Ribeiro, B. and Ferreira, R. , “Steganalysis of Multi-Class JPEG Images Based on Expanded Markov Features and Polynomial Fitting”, in Proc. of the International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence, WCCI 2008, pp. 3352– 3357, Hong Kong, China, June 2008.
CI 30.: Sankarapani, M. and Mukkamala, S. and Sung, A. and Ribeiro, B. , “Translation Based Arabic Text Categorization”, in Proc. of the 2nd International Conference on Information Systems, Technology and Management, ICISTM 2008, Dubai, March 2008.
CI 31.: Silva, C. and Ribeiro, B. , “Combining Active Learning and Relevance Vector Machines for Text Classiﬁcation”, in Proc. of the IEEE International Conference on Machine Learning Applications, pp. 130–135, IEEE ICMLA 2007, Cincinnati, Ohio, USA, December 2007.
CI 32.: Ferreira, J. and Crisóstomo, M. and Coimbra, P. and Ribeiro, B. , “Simulation control of a biped robot with Support Vector Regression”, in Proc. of IEEE International Symposium on Intelligent Signal Processing,WISP’2007, pp. 1–6, Madrid, Spain, October 2007.
CI 33.: Ribeiro, B. and Marques, A. C. and Henriques, J. O. and Antunes, M. , “Premature Ventricular Beat Detection by Using Spectral Clustering Methods”, in Proc. of the Computers in Cardiology, pp. 149–152, Vol. 34, ISSN 0276-6574, Conference on Computers in Cardiology, Durham, North Carolina, USA, September 2007.
CI 34.: Ribeiro, B. and Cardoso, A. J. , “Behavior Pattern Mining during the Evaluation Phase in an e-Learning Course”, in Proc. of the International Conference on Engineering Education (ICEE 2007), ICEE 2007 - International Conference on Engineering Education (CD-ROM), Coimbra, Portugal, September 2007.
CI 35.: Brito, M. and Henriques, J. O. and Carvalho, P. d. and Ribeiro, B. and Antunes, M. , “An ECG compression approach based on a segment dictionary and Bezier approximations”, 15th European Signal Processing Conference (EUSIPCO-2007), pp. 2054–2058, Poznan, Poland, September 2007.
CI 36.: Brito, M. and Henriques, J. O. and Carvalho, P. and Ribeiro, B. and Antunes, M. , “ECG Compression through segment matching and progressive error encoding”,Proc of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC-2007, pp. 135–138 Lyon, France, August, 2007.
CI 37.: Henriques, J. O. and Carvalho, P. and Gil, P. and Marques, A. C. and Rocha, T. and Ribeiro, B. and Antunes, M. and Sal, R. and Habetha, J. , “Ventricular Arrhythmias Assessment”, Proc. of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC-2007, pp. 3852–3855, Lyon, France, August, 2007.
CI 38.: Yendrapalli, K. and Mukkamala, S. and Sung, A. and Ribeiro, B. , “Biased Support Vector Machines and Kernel Methods for Intrusion Detection”, in Proc. of the International Conference on Data Mining and Knowledge Discovery, pp. 321–325, World Congress on Engineering (WCE), London, UK, July 2007.
CI 39.: Ribeiro, B. , “Support, Relevance and Spectral Learning for Time Series”, in Proc. of the International Conference on Adaptive and Natural Computing Algorithms, B. Beliczynski et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, pp. 199–207, April 2007.
CI 40.: Silva, C. and Ribeiro, B. and Sung, A. , “Boosting RVM Classiﬁers for Large Data Sets”, in Proc. of the International Conference on Adaptive and Natural Computing Algorithms, B. Beliczynski et al. (Eds.), Lecture Notes in Computer Science (LNCS), Part II, LNCS 4432, Springer-Verlag Berlin Heidelberg, pp. 228–237, ICANNGA 2007, Warsaw, Poland, April 2007.
CI 41.: Silva, C. and Ribeiro, B. , “Two-level hierarchical hybrid SVM-RVM classiﬁcation model”, in Proc. of the IEEE International Conference on Machine Learning Applications, pp. 89–94, IEEE ICMLA 2006, Orlando, USA, December 2006.
CI 42.: Silva, C. and Ribeiro, B. , “Scaling Text Classiﬁcation with Relevance Vector Machines”, in Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, pp. 4186–4191, IEEE SMC06, Taipei, Taiwan, October 2006.
CI 43.: Ribeiro, B. and Marques, A. C. and Henriques, J. O. and Antunes, M. , “Choosing Real-Time Predictors For Ventricular Arrhythmias Detection”, International Conference on Neural Information Processing, ICONIP 2006, Hong-Kong, China, October 2006.
CI 44.: Silva, C. and Ribeiro, B. , “RVM Ensemble for Text Classiﬁcation”, ICONIP 2006 - 13th International Conference on Neural Information Processing, Hong Kong, October 2006.
CI 45.: Ribeiro, B. and Brito, M. and Henriques, J. O. and Antunes, M. , “Sparse Bayesian Simpliﬁed Models for ECG Compression”, in Proc. of the Advance in Natural Computation and Data Mining, Xidian University Press, International Conference on Natural Computation (ICNC’06), Xian, China, September 2006.
CI 46.: Silva, C. and Ribeiro, B. , “Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer”, in Proc. of the 7th International Conference on Intelligent Data Engineering and Automated Learning (LNCS Proceedings), pp. 878–886, IDEAL 2006, Burgos, Spain, September 2006.
CI 47.: Liu, Q. and Sung, A. and Ribeiro, B. , “Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography”, in Proc. of the 18th International Conference of Pattern Recognition (ICPR2006), ICPR(2), pp. 267–270, Hong-Kong, China, August 2006.
CI 48.: Silva, C. and Ribeiro, B. and Lotric, U. , “Fast-Decision SVM Ensemble Text Classiﬁer Using Cluster Computing”, in Proc. of the Third International Conference on Neural, Parallel & Scientiﬁc Computations, pp. 253–259, ICNPSC’06, Atlanta, USA, August 2006.
CI 49.: Liu, Q. and Sung, A. and Ribeiro, B. , “Comparison of Gene Selection And Machine Learning For Tumor Classiﬁcation”, Proc. of 3rd international Conference on Informatics in Control, Automation and Robotics, Workshop on Signal Processing and Classiﬁcation, pp. 13–22, Setubal, Portugal, August 2006.
CI 50.: Ribeiro, B. and Vieira, A. and Neves, J. , “Sparse Bayesian Classiﬁers: Bankruptcy-Predictors of Choice?”, Proc of International Joint Conference on Neural Networks, World Congress On Computational Intelligence, IEEE-IJCNN, pp. 3377–3381, Vancouver, Canada, July 2006.
CI 51.: Mukkamala, S. and Sung, A. and Ribeiro, B. and Vieira, A. and Neves, J., “Model Selection and Feature Ranking for Financial Distress Classiﬁcation”, in Proc. of the ICEIS 2006, INSTICC - Institute for Systems and Technologies of Information, Control and Communication, 8th International Conference on Enterprise Information Systems (ICEIS 2006), Cyprus, May 2006.
CI 52.: Silva, C. and Ribeiro, B. and Lotric, U. , “Speeding-up Text Classiﬁcation In a GRID Computing Environment”, in Proc. of the IEEE International Conference on Machine Learning And Applications, pp. 113–116, ICMLA 2005, Los Angeles, USA, December 2005.
CI 53.: Lotric, U. and Ribeiro, B. and Silva, C. and Dobnikar, A. , “Modeling Execution Times of Data Mining Problems in Grid Environments”, in Proc. of the 14th International Conference on Electrotechnical and Computer Science Conference, pp. 113–116, ERK 2005, Portoroz, Slovenia, September 2005.
CI 54.: C. Silva, B.Ribeiro, “Text Classiﬁcation from Partially Labeled Distributed Data”, Proc. of 7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’05), Coimbra, Portugal, (Eds. B. Ribeiro, R. Albrech, A. Dobnikar, D. Pearson, N. Steele), pp. 445–448, Springer -Verlag, Wien, 2005.
CI 55.: Vieira A.S., J. C. Neves, B. Ribeiro , “A Method to Improve Generalization of Neural Networks: Application to the Problem of Bankruptcy Prediction”, Proc. of 7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’05), Coimbra, Portugal, (Eds. B. Ribeiro, R. Albrech, A. Dobnikar, D. Pearson, N. Steele), Springer-Verlag, pp. 417–420, Wien, 2005.
CI 56.: Qingzhong Liu, Andrew H. Sung, Bernardete Ribeiro, “Statistical Correlations and Machine Learning for Steganalysis”, Proc. of 7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’05), Coimbra, Portugal, (Eds. B. Ribeiro, R. Albrech, A. Dobnikar, D. Pearson, N. Steele), pp. 437–440, Springer-Verlag, Wien, 2005.
CI 57.: Srinivas Mukkamala, Andrew H. Sung, Bernardete Ribeiro,“Model Selection for Intrusion Detection”, Proc. of 7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA’05), Coimbra, Portugal, (Eds. B. Ribeiro, R. Albrech, A. Dobnikar, D. Pearson, N. Steele), pp. 458–461, Springer-Verlag, Wien, 2005.
CI 58.: Vieira A.S., B. Ribeiro, S. Mukkamala, J. C. Neves, and A. H. Sung, “On the Performance of Learning Machines for Bankruptcy Detection”, Proc. of Second IEEE International Conference on Computational Cybernetics, (Eds. Wilfried Elmenreich, Wolfgang Haidinger, and J. A. Tenreiro Machado), pp. 323–327, Vienna University of Technology, Austria, August, 2004.
CI 59.: C. Silva, B. Ribeiro,“Margin-based Active Learning and Background Knowledge in Text Mining”, Fourth International Conference on Hybrid Intelligent Systems, IEEE Computer Society, Japan, December, 2004.
CI 60.: C. Silva, B. Ribeiro,“Labeled and Unlabeled Data in Text Categorization”, Proc. of 2004 IEEE International Joint Conference on Neural Networks (IJCNN’04), Budapest, Hungary, July, 2004.
CI 61.: Bernardete Ribeiro, “Computational intelligence in manufacturing quality control”, Impact of Artiﬁcial Intelligence Methods and Models, Warsaw, Poland, December, 2003
CI 62.: C. Silva and B. Ribeiro, “The Importance of Stop Word removal on Recall Values in Text Categorization”, Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN03), pp. 1661–1666, Portland, USA, July, 2003.
CI 63.: C. Silva and B. Ribeiro, “On the Evaluation of Text Processing in Inductive Categorization”, Proc. of International Conference on Machine Learning and Applications (ICMLA03), Arif Wani Ed, pp. 121–127, Los Angeles, USA, June, 2003. ISBN: 0-9741614-0-3)
CI 64.: C. Silva and B. Ribeiro, “An Inductive Inference Approach to Large Scale Text Categorization”, Proc. of International Conference on Neural Networks and Genetic Algorithms ( ICANNGA03), Roanne, France, April, 2003. (Eds. D. Pearson, N. Steele, Rudolf F. Albrech), pp. 126–130, Springer-Verlag, Wien, 2003.
CI 65.: N. Costa and B. Ribeiro, “A Framework for Neural Quality Control Systems Design”, Proc. of International Conference on Neural Networks and Genetic Algorithms (ICANNGA03), Roanne, France, (Eds. D. Pearson, N. Steele, Rudolf F. Albrech), pp. 101–104, Springer-Verlag, Wien, 2003.
CI 66.: B Ribeiro, “Support Vector Machines in Fault Tolerance Control”, in Computing Anticipatory Systems, Ed. D. Dubois, American Institute of Physics (AIP) Conference Proceedings, pp. 458–467, 2002. (ISBN 0-7534-0081).
CI 67.: B. Ribeiro, “Kernelized based functions with Minkovsky’s norm for SVM Regression”, Proc.of INNS-IEEE International Joint Conference on Neural Networks (IJCNN 02), Vols 1-3, pp. 2198–2203, USA, May 12-17, 2002.
CI 68.: B. Ribeiro, “On Data Support Vector Clustering”, Proc. of IEEE 9th International Conference on Neural Information Processing (ICONIP 2002), VOLS 1-3, pp. 873–879, Nov 18-22, Singapore, 2002.
CI 69.: Carvalho, P., A. Santos, A. Dourado, B. Ribeiro, “Bayes Information Criterion for Tikhonov Problems with Linear Constraints: Application to Spectral Data Estimation”, Proc. of International Conference on Pattern Recognition (ICPR), Vol I, pp. 696–700, Quebec, Canada, August 11-15, 2002.
CI 70.: Carvalho, P., A. Santos, A. Dourado, B. Ribeiro, “Bayes Information Criterion for Tikhonov Problems with Linear Constraints: Application to Radiometric Image Correction”, Proc. of Int. Conf. On Signal and Image Processing (SIP 2002), pp. 316–321, Hawaii, USA, August 12-14, 2002.
CI 71.: Carvalho, P., A. Santos, A. Dourado, B. Ribeiro, “Radiometric Image Correction with Automatic Model Selection”, Proc. of IFAC b’02 15th World Congress, Barcelona, Spain, July 21-26, (CD-ROM), 2002.
CI 72.: B Ribeiro, “Support Vector Machines in Fault Monitoring Control”, International Conference on Computing Anticipatory Systems (CASYS’2001), 13-18 August, Liège, Belgium, 2001.
CI 73.: Ribeiro, Bernardete, “Support Vector Machines and RBF Neural Networks For Fault Detection and Diagnosis”, Proc. of IEEE 8th International Conference on Neural Information Processing, (ICONIP01), Vol. 2, pp. 873–878, Shangai, China, November, 2001.
CI 74.: Paulo Carvalho, Amâncio Santos, António Dourado, Bernardete Ribeiro, “Learning Spectral Calibration Parameters for Color Inspection”, Proc. of IEEE 8th International Conference On Computer Vision (ICCV01), Vol. II, pp. 660–667, Vancouver, Canada, July, 2001.
CI 75.: Carvalho, P., A. Santos, A. Dourado, B. Ribeiro, “On the Estimation of the Spectral Data: A Genetic Algorithm Approach”, Proc of IEEE International Conference on Image Processing, Vol.1, pp: 866 –869, Greece, October, 7-10, 2001.
CI 76.: C. Silva, M. Crisóstomo, B. Ribeiro, “Angular Memory and Supervisory Modules in a Neural Architecture for Navigating NOMAD”, Proc. of International Conference on Neural Networks and Genetic Algorithms ( ICANNGA01), Prague, Czech Republic, April, 2001. (Eds. V. Kúrkova, N. Steele, R. Neruda and M. Kárný), pp. 173–176, Springer-Verlag, Wien, 2001.
CI 77.: Lopes, Noel, Bernardete Ribeiro, “Hybrid Learning Multi Neural Architecture”, Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN’01), Vol. 4, pp. 2788–2793, Washington DC, USA, July, 2001.
CI 78.: C. Silva, M. Crisóstomo, B. Ribeiro, “A Modular Neural Architecture for Navigating NOMAD Mobile Robot”, Proc. of 8th International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU2000), pp. 1199–1204, 3-7 July, Spain, 2000.
CI 79.: C. Silva, M. Crisóstomo, B. Ribeiro, “MONODA: A Neural Modular Architecture for Obstacle Avoidance Without Knowledge of the Environment”, Proc. of IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN2000), Vol. 6, pp. 334 –339, 24- 27 July, Italy, 2000.
CI 80.: C. Silva, M. Crisóstomo, B. Ribeiro, “A Neural Modular Architecture for Navigating Mobile Robots”, Proc.of 4th International Portuguese Conference on Automatic Control (CONTROLO2000), pp. 330–335, Braga, Portugal, Setember, 2000.
CI 81.: Carvalho, P., A. Dourado, B. Ribeiro, “Improving Error Stability in Spectral Camera Calibration for Color Inspection with Maxima Constraints”, Proc. of Sixth International Conference on Control Automation, Robotics and Vision (ICARCV2000), Singapore, (CD-ROM), December 5-8, 2000.
CI 82.: Dimirovski, G.M., Dourado, A., Gough, N.E., Ribeiro, B., Stankovski, M.J., Ting, I.H., Tulunay, E., “On learning Control in Industrial Furnaces and Boilers”, Proc. of IEEE International Symposium on Intelligent Control (ISIC) (P. Groumpos, N Koussulas & M Polycarpu, eds), pp. 67–72, Patras, Greece, July 17-19, 2000.
CI 83.: N. Costa, B. Ribeiro, “Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks”, Proc. of International Conference on Neural Networks and Genetic Algorithms (ICANNGA99), Portoroz, Slovenia, (Eds. A. Dobnikar, N. Steele, D. Pearson and R. Albrecht), pp. 89–94, Springer-Verlag, Wien, 1999.
CI 84.: N. Costa, B. Ribeiro, “A Neural Prediction Model for Monitoring and Fault Diagnosis of a Plastic Injection Moulding Machine”, Proc. of European Conference Control, ECC’99, Karlsruhe, Germany, 1999. (CD-ROM)
CI 85.: N. Costa, B. Ribeiro, “Artiﬁcial Neural Networks for Data Modelling of a Plastic Injection Moulding Machine”, Proc. of 6th International Conference on Neural Information Processing (ICONIP’99), pp. 1081–1087, Perth, Australia, 1999.
CI 86.: N. Lopes, B. Ribeiro, “A Data Pre-Processing Tol for Neural Networks (DTPNN) Use in a Moulding Injection Machine”, Proc. of the Second Worl Manufacturing Congress (WMC’99), pp. 357–361, Durham, England, 1999.
CI 87.: N. Lopes, B. Ribeiro, “Part Quality Prediction in an Injection Moulding Process using Neural Networks”, Proc. of the Second World Manufacturing Congress (WMC’99), pp. 368–374, Durham, England, 1999.
CI 88.: B. Ribeiro, “Fault Detection in a Thermoplastic Molding Injection Process Using Neural Networks”, Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN’99),Vol.5, pp. 3352 –3355, Washington, USA, July, 1999.
CI 89.: B. Ribeiro, “Prediction of Lime Availability of an Industrial Kiln by Neural Networks”, Proc. of IEEE World Congress on Computational Intelligence (WCCI98), pp. 1987–1991, Vol. 3, Anchorage, Alasca, USA, May 4-9, 1998.
CI 90.: P. Carvalho, N. Costa, B. Ribeiro, A. Dourado, “Highly Irregular Elliptical Object Localisation in Multi-Connected Regions using Neural Networks”, Proc. of the International Symposium on Engineering of Intelligent Systems (EIS’98), pp. 615–623, Tenerife, Spain, February 11-13, 1998.
CI 91.: B. Ribeiro and A. Cardoso, “A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment”, Proc. of International Conference on Neural Networks and Genetic Algorithms (ICANNGA97), (Eds. G. Smith, N. Steele and R. Albrecht) , pp. 601–605, Springer-Verlag, Wien, 1998.
CI 92.: P. Carvalho, N. Costa, B. Ribeiro, A. Dourado, “Industrial Visual Inspection of Lime Balls by Neural Networks”, Proc. of the 22nd International Conference for Computers and Industrial Engineering (C&IE’97), pp. 64–67, Cairo, Egypt, 20-22 December, 1997.
CI 93.: P. Carvalho, N. Costa, B. Ribeiro, A. Dourado, “Lime Ball Quality Inspection Using a Neural Network and Geometrical-Based Decision Criteria”, Proc. of the 12th International Conference on Systems Engineering (ISCE’97), pp. 97–103, Coventry, UK, 9-11 September 1997.
CI 94.: B. Ribeiro, A. Dourado and E. Costa, “Integrated Process Supervision and Control by Neural Networks in an Industrial Lime Kiln”, Proc. of IEEE World Conference on Neural Networks (WCNN96), pp. 104–109, San Diego, CA, September, 1996.
CI 95.: B. Ribeiro, J. Cordeiro, I. Gomes and A. Cardoso “Neurocontroller Synthesis of a Scaled Heating Laboratory Process”, Proc. of 2nd Portuguese Conference on Automatic Control (CONTROLO96), pp. 57–62, Porto, Portugal, 11-13 Setembro, 1996.
CI 96.: B. Ribeiro, “Application of Neural Networks for Diagnosing and Predicting the Condition of an Industrial Lime Kiln”, Proc. of Symposium on Discrete events and Manufacturing Systems, Computational Engineering in Systems Applications (CESA96), pp. 166–171, Lille, France, July 9-12, 1996.
CI 97.: C. Pereira, J. Henriques, B. Ribeiro, A. Dourado. “Real - Time Adaptive Training of RBFNN using a Selective Forgetting Algorithm”. Proc. of International Conference on Engineering Applications of Neural Networks (EANN96), A. Bulsari at al. (Eds), pp. 431–435, London, 17-19 June 1996.
CI 98.: C. Pereira, J. Henriques, B. Ribeiro, A. Dourado Correia, “RBFNN for Real Time Process Identiﬁcation and Control with Selective Forgetting”, Proc. of. 2nd Portuguese Conference on Automatic Control (CONTROLO96), pp. 205–210, Porto, Portugal, 11-13 Setembro, 1996.
CI 99.: B Ribeiro, A. Kovačec and A. Dourado,“Example of Finding the Architecture of a BPNN for a Pulp and Paper Engineering Application loking at the Geometry of a given Classiﬁcation Task”, Proc. of International Conference on Engineering Applications of Neural Networks (EANN95), pp. 343–351, Helsinki, August, 1995.
CI 100.: B. Ribeiro, A. Dourado e E. Costa, “ Lime Kiln Fault Detection and Diagnosis by Neural Networks”, Proc. of International Conference on Neural Networks and Genetic Algorithms (ICANNGA’95), Alès, França, (Eds. D. W. Pearson, et al.), pp. 112–116, Springer-Verlag, Wien 1995.
CI 101.: B. Ribeiro, A. Dourado e E. Costa, “Industrial Kiln Multivariable Control: MNN and RBFN Approaches”, Proc. of International Conference on Neural Networks and Genetic Algorithms (ICANNGA’95), Alès, França, (Eds. D. W. Pearson, et al.), pp. 408–412, Springer-Verlag, Wien 1995.
CI 102.: B. Ribeiro, A. Dourado e E. Costa, “A Neural Network based Control of a Simulated Industrial Lime Kiln”, Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN’93), Vol II, pp. 2037–2040, Nagoya, Japan, October, 1993.
CI 103.: B. Ribeiro and A. Dourado, “Lime Kiln Process Identiﬁcation and Control: A Neural Network Approach”, Proc. of International Conference on Artiﬁcial Neural Networks and Genetic Algorithms (ICANNGA’93), Innsbruck, Austria, (Eds. R. F. Albrecht, et al.), pp. 117–124, Springer-Verlag, Wien 1993.
CI 104.: A. Kovačec and B Ribeiro, “Kolmogorov’s Theorem: From Algebraic Equations and Nomography to Neural Networks”, Proc. of International Conference on Artiﬁcial Neural Networks and Genetic Algorithms (ICANNGA’93), Innsbruck, Austria, (Eds. R. F. Albrecht, et al.), pp. 40–47, Springer-Verlag, Wien 1993.
CI 105.: B Ribeiro e A. Dourado, “Dynamic Modelling and Simulation of a Pulp Mill Lime Kiln”, Proc. of the tenth IASTED, International Symposium on Modelling, Identiﬁcation and Control, pp. 330–333, Innsbruck, Austria, February 18-21, 1991.

6.10.7 Artigos Submetidos em Conferências Internacionais com Arbitragem

SC 1.: Noel Lopes and Bernardete Ribeiro, “NonNegative Matrix Factorization on GPU Computing”, 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Scotland, UK, 1st–3rd September, 2010.
SC 2.: Noel Lopes, Bernardete Ribeiro and Ricardo Quintas, “GPUMLib: A New Library to Combine Machine Learning Algorithms with Graphics Processing Units”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 10–13, Istanbul, Turkey, 2010.
SC 3.: Marisa Figueiredo, Ana Almeida and Bernardete Ribeiro, “HouseHold Energy Consumption Tracking”, 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Scotland, UK, 1st–3rd September, 2010.
SC 4.: Ricardo Quintas, Noel Lopes and Bernardete Ribeiro, “Implementation of RBF Networks in GPU: Case study of Steganalysis”, 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Scotland, UK, 1st–3rd September, 2010.

6.10.8 Artigos em Actas de Conferências Nacionais

CN1.: N Lopes and B Ribeiro, “MBPGPU: A Supervised Pattern Classiﬁer for Graphical Processing Units”, Proc. of the 15th Portuguese Conference on Pattern Recognition RECPAD2009, Aveiro, Portugal, 2009
CN2.: L Pereira, L Roque, B Ribeiro, “Game Strategy Classiﬁcation by using Radial Basis Function and Support Vector Machines”, Int Workshop of Video Games, Coimbra, Outubro, 2009
CN3.: Silva, C. and Ribeiro, B. , “Expanding Working Set Approaches to RVM for Text Classiﬁcation”, Summer School on Neural Networks - Poster Presentation, Porto, Portugal, July 2006
CN4.: Filipe Araújo, Luís Rodrigues and Bernardete Ribeiro,“Aplicação das Redes Neuronais no Encaminhamento em Redes de Dados”, Proc. of 3 $^{a}$ Conferência sobre Redes de Computadores (CRC2000), Viseu, Portugal, 16-17 Novembro, 2000.
CN5.: Carvalho, P., A. Dourado, B. Ribeiro, “CCD Spectral Sensivities Estimation without a Spectroradiometer”, Proc. of 11th Portuguese Conference on Pattern Recognition (RECPAD2000), pp. 205–212, Porto, Portugal, May 11-12, 2000.
CN6.: P. Carvalho, A. Dourado, B. Ribeiro, “Calibração de Ambientes de Aquisição para a Inspecção Automática de Cor”, Encontro de Engenharia Informática, Braga, Portugal, 1999.
CN7.: B. Ribeiro and A. Dourado, “Controlo Multivariável dum Forno Industrial baseado em Redes Neuronais Artiﬁciais MNN e RBFN.”, Actas do 1 $^{\underset{̲}{o}}$ Encontro Português de Controlo Automático, CONTROLO’94, IST, Vol II, pp. 117-123, Lisboa, Setembro, 1994.
CN8.: C. Gonçalves, A. Tavares, A. Cardoso, B. Ribeiro, C. Pereira, J. Henriques, A. Dourado Correia, “Aplicação Multimédia para Treino e Aprendizagem em Controlo Automático”, Actas do 1 $^{\underset{̲}{o}}$ Encontro Português de Controlo Automático, CONTROLO’94, IST, Vol I, pp. 49-54, Lisboa, Setembro, 1994.
CN9.: A. Dourado, J. Henriques, B. Ribeiro, Carlos Pereira e Celestino Gonçalves, “Controlo Avançado de Processos: Uma Necessidade e um Desaﬁo dos Anos 90”, Actas do XIV Encontro da Tecnicelpa, pp. 187–196, Torres Novas, Outubro, 1993.
CN10.: B. Ribeiro, J. Henriques e A. Dourado, “Optimização do Funcionamento dum Forno Industrial: Contribuição da Simulação por Computador”, Encontro Nacional da APDIO 92, Évora, 13–15 de Abril, 1992.
CN11.: B. Ribeiro e A. Dourado, “Simulação Computacional dos Evaporadores e Forno de Cal: Apoio ao treino de Operação e ao Controlo Automático”, XIII Encontro Nacional Tecnicelpa, pp. 185–194, Figueira da Foz, Outubro, 1992.
CN12.: B. Ribeiro, T. Mendes e António Portugal, “DINTER: Um Simulador de Processos de Destilação”, Encontro de Computadores no Ensino da Física e da Química, Coimbra, Fevereiro, 1990.
CN13.: J. Andrês, B, Ribeiro e I. Carmo, “Modelização Conceptual como Instrumento Metodológico no desenvolvimento Expedito de Aplicações”, Actas do IV Congresso Português de Informática, Associação Portuguesa de Informática, Lisboa, Junho, 1986.

6.10.9 Relatórios Técnicos

TR 1.: Mendes, P. and Chen, N. and Ribeiro,B., “Advanced Intelligent Risk Evaluation System”, Report 03/2010, March 2010.
TR 2.: Silva, C. and Lotric, U. and Ribeiro, B. and Dobnikar, A. , “Intelligent Data Mining in the GRID Environment - Report 6/2005”, June 2005.
TR 3.: Silva, C. and Ribeiro, B. and Lotric, U. and Dobnikar, A. , “Intelligent Data Mining in the GRID Environment - Report 10/2005”, October 2005.
TR 4.: Alexander Kovačec and Bernardete Ribeiro, “Convex Hull Calculations: a Matlab Implementation and Correctness Profs for the lrs-algorithm”, Departamento de Matemática, Faculdade de Ciências e Tecnologia, Universidade de Coimbra, 2003.
TR 5.: Filipe Araújo, Bernardete Ribeiro and Luís Rodrigues. “A Neural Network for Shortest Path Computation”. Technical Report DI/FCUL TR-00-2. Department of Computer Science, University of Lisbon, April, 2000.
TR 6.: B Ribeiro, “Modélisation et Contrôle Avancé d’un four à Chaux”, Rapport Technique n $^{\underset{̲}{o}}$ Nr-RS91, CTP-Centre Technique du Papier, Grenoble, França, Outubro, 1991.
TR 7.: B. Ribeiro, “Determinação da constante iónica do ácido arsenioso e da sua variação com a força iónica, Tech Rep DEQ-75, Departamento de Engenharia Química , Faculdade de Ciências e Tecnologia da Universidade de Coimbra, Julho, 1975.

6.10.10 Teses

TE 1.: Bernardete Ribeiro, “Contribuição para a Modelização, Supervisão e Controlo de Sistemas Multivariáveis Não Lineares por Redes Neuronais com Aplicação a um Forno de Cal”, Tese de Doutoramento, Departamento de Engenharia Informática, Universidade de Coimbra, Dezembro de 1995.
TE 2.: Bernardete Ribeiro, “DINTER: Um Simulador de Processos de Destilação”, Dissertação de Mestrado em Ciências da Computação, Departamento de Engenharia Electrotécnica, Universidade de Coimbra, Julho de 1986.

6.10.11 Trabalhos Académicos

TA 1.: Bernardete Ribeiro, “Técnicas de Reconhecimento de Padrões”- Programa, Conteúdos e Método de Ensino, Relatório submetido no âmbito do Concurso de Professor Associado em Engenharia Informática, Universidade de Coimbra, 37 p., Julho, 2003.
TA 2.: Bernardete Ribeiro, “Introdução à Computacão Neuronal”, Lição submetida no no âmbito de Provas para Professora Coordenadora do Grupo de Computação e Informática e Sistemas (ISEC), 35 p., Outubro, 1996.

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