International Proceedings (with peer review)

[35]

Duarte Duque, Henrique Santos and P. Cortez. N-ary Trees Classifier. In Proceedings of the 3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO), August, Setúbal, Portugal, 2006. INSTICC.

[34]

M. F. Santos, P. Cortez, J. Pereira and H. Quintela. Corporate Bankruptcy Prediction using Data Mining Techniques ⁵. In A. Zanasi, C. Brebbia and N. Ebecken (Eds.), Data Mining VII - Data Mining and Information Engineering, WIT Transactions of Information and Communication Technologies, WIT Press, 2006, ISSN:1743-3517.

[33]

P. Cortez, M. Rio, M. Rocha and P. Sousa. Internet Traffic Forecasting using Neural Networks. In Proceedings of the 2006 International Joint Conference on Neural Networks, Vancouver, Canada, July, 2006. IEEE Computer Society.

[32]

M. Rocha, P. Sousa, M. Rio and P. Cortez. QoS Constrained Internet Routing with Evolutionary Algorithms, In Proceedings of the 2006 International Conference on Evolutionary Computation, Vancouver, Canada, July, 2006. IEEE Computer Society.

[31]

M. F. Santos, P. Cortez, P. Gago, Á. Silva e F. Rua. Intelligent Decision Support in Intensive Care Medicine. In Proceedings of the Second International Conference on Knowledge Engineering and Decision Support (ICKEDS'06), Lisbon, Portugal, May, 2006.

[30]

P. Cortez, M. Portelinha, S. Rodrigues, V. Cadavez and A. Teixeira. Lamb Meat Tenderness Prediction Using Neural Networks and Sensitivity Analysis. © EUROSIS [ESM'2005] [pdf] [RepositoriUM] [bib]
In J. Feliz-Teixeira and A. Brito (Eds.), Proceedings of the European Simulation Multiconference - ESM'2005, Oporto, Portugal, October, pp. 177-181, 2005, EUROSIS, ISBN:90-77381-22-8.

[29]

Duarte Duque, Henrique Santos and P. Cortez. Moving Object Detection Unaffected by Cast Shadows, Highlights and Ghosts. [IEEE edition] [pdf] [RepositoriUM] [bib]
In Proceedings of The IEEE International Conference on Image Processing (ICIP-05), Genova, Italy, September, Vol. III, pp. 413-416, 2005, IEEE Computer Society, ISBN:0-7803-9134-9.

[28]

M. F. Santos, P. Cortez, H. Quintela, J. Neves, H. Vicente and J. Arteiro. Ecological Mining - A Case Study on Dam Water Quality⁶. In A. Zanasi, C. Brebbia and N. Ebecken (Eds.), Data Mining VI - Data Mining, Text Mining and their Business Applications, WIT Transactions of Information and Communication Technologies Vol. 35, pp. 523-531, WIT Press, 2005, ISBN:1-84564-017-9, ISSN:1746-4463.

[27]

M. F. Santos, P. Cortez, H. Quintela and F. Pinto. A Clustering Approach for Knowledge Discovery in Database Marketing⁷. In A. Zanasi, C. Brebbia and N. Ebecken (Eds.), Data Mining VI - Data Mining, Text Mining and their Business Applications, WIT Transactions of Information and Communication Technologies Vol. 35, pp. 399-407, WIT Press, 2005, ISBN:1-84564-017-9, ISSN:1746-4463.

[26]

M. Rocha, P. Cortez and J. Neves. Evolutionary Design of Neural Networks for Classification and Regression⁸. © Springer [SpringerOnline] [pdf] [RepositoriUM] [bib]
In B. Ribeiro, R. Albrecht, A. Dobnikar, D. Pearson and N. Steele (Eds.), Adaptive and Natural Computing Algorithms, Springer Computer Science Book Series, pp. 304-307, March, 2005, Springer-Verlag Wien, Vienna, Austria, ISBN:3-211-24934-6.

[25]

F. Pinto, M. F. Santos, P. Cortez and H. Quintela. A Case Study of Pre-processing data in a Database Marketing Project. [pdf] [RepositoriUM] [bib]
In O. Belo, A. Lourenço and R. Alves (Eds.), Proceedings of Data Gadgets 2004 Workshop - Bringing Up Emerging Solutions for Data Warehousing Systems, IX Conference on Software Engineering and Database, November, Malaga, Spain, 2004, pp. 76-84. ISBN:972-9119-59-7.

[24]

M. Rocha, P. Cortez, R. Mendes and J. Neves. An Architecture for Co-Evolving Agents in the ROBOCUP Simulation League. [bib]
In H. Coelho and B. Espinasse (Eds.), Proceedings of 5th Workshop on Agent-Based Simulation, Lisbon, Portugal, May, 2004, pp. 127- 132, SCS.

[23]

M. Rocha, P. Cortez and J. Neves. Evolutionary Neural Network Learning Algorithms for Changing Environments. In Proceedings of 5th WSEAS International Conference on EVOLUTIONARY COMPUTATION (EC'04), Udine, Italy, March, 2004, WSEAS.

[22]

Á. Silva, P. Cortez, M. F. Santos, L. Gomes and J. Neves. Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. [ICEIS] [pdf] [RepositoriUM] [bib]
In I. Seruca, J. Filipe, S. Hammoudi and J. Cordeiro (Eds.), Proceedings of 6th International Conference on Enterprise Information Systems - ICEIS 2004 Porto, Portugal, April, Vol. II - Artificial Intelligence and Decision Support Systems, pp. 401-408, 2004, INSTICC, ISBN:972-8865-00-7.

[21]

M. Rocha, P. Cortez and J. Neves. Ensembles of Artificial Neural Networks with Heterogeneous Topologies. [pdf] [RepositoriUM] [bib]
In Proceedings of Fourth International Symposium on Engineering of Intelligent Systems (EIS2004), Madeira, Portugal, March, 2004, ICSC Academic Press, ISBN:3-906454-35-5.

[20]

Á. Silva, P. Cortez, M. F. Santos, L. Gomes and J. Neves. Organ Failure Diagnosis by Artificial Neural Networks. [pdf] [bib] [RepositoriUM]
In M.H. Hamza (Ed.), Proceedings of the Third IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), Benalmádena, Spain, September, pp. 706-711, 2003, ACTA Press.

[19]

M. Rocha, P. Cortez and J. Neves. Adaptive Learning in Changing Environments. [pdf] [RepositoriUM] [bib]
In Michel Verleysen (Ed.), Proceedings of 11th European Symposium on Artificial Neural Networks (ESANN'2003), Bruges, Belgium, April, pp. 487-492, 2003, d-side.

[18]

P. Cortez, F. Sollari Allegro, M. Rocha and J. Neves. Real-Time Forecasting by Bio-Inspired Models. [pdf] [RepositoriUM] [bib]
In M.H. Hamza (Ed.), Proceedings of the Second IASTED International Conference on Artificial Intelligence and Applications (AIA 2002), Málaga, Spain, September, pp. 52-57, 2002, ACTA Press, ISBN:0-88986-352-0.

[17]

R. Mendes, P. Cortez, M. Rocha and J. Neves. Particle Swarms for Feedforward Neural Network Training. [IEEE edition] [pdf] [RepositoriUM] [bib]
In Proceedings of The 2002 International Joint Conference on Neural Networks (IJCNN 2002), Honolulu, Havai, USA, May, Vol. 2, pp. 1895-1899, 2002, IEEE Computer Society, ISBN:0-7803-7278-6.

[16]

P. Cortez, M. Rocha and J. Neves. A Meta-Genetic Algorithm for Time Series Forecasting. [pdf] [RepositoriUM] [bib]
In Luís Torgo (Ed.), Proceedings of Workshop on Artificial Intelligence Techniques for Financial Time Series Analysis (AIFTSA -01), 10th Portuguese Conference on Artificial Intelligence (EPIA'01), Porto, Portugal, December, pp. 21-31, 2001.

[15]

P. Cortez, M. Rocha and J. Neves. Genetic and Evolutionary Algorithms for Time Series Forecasting⁹. © Springer-Verlag [SpringerOnline] [pdf] [RepositoriUM] [bib]
In Lázló Monostori et al. (Eds.), Engineering of Intelligent Systems, Lecture Notes in Artificial Intelligence (LNAI) 2070, pp. 393-402, 2001, Springer, ISBN:3-540-42219-6.

[14]

M. Rocha, R. Mendes, P. Cortez and J. Neves. Sitting Guest at a Wedding Party: Experiments on Genetic and Evolutionary Constrained Optimization. [IEEE edition] [pdf] [RepositoriUM] [bib]
In Proceedings of the 2001 Congress on Evolutionary Computation (CEC2001), Seoul, Korea, May, Vol. 1, pp. 671-678, 2001, IEEE Computer Society, ISBN:0-7803-6657-3.

[13]

P. Cortez, M. Rocha and J. Neves. Lamarckian Training of Feedforward Neural Networks. [pdf] [RepositoriUM] [bib]
In Michel Verleysen (Ed.), Proceedings of 9th European Symposium on Artificial Neural Networks (ESANN'2001), Bruges, Belgium, April, pp. 153-158, 2001, D-Facto.

[12]

P. Cortez, M. Rocha and J. Neves. Evolving Time Series Forecasting Neural Network Models. [pdf] [RepositoriUM] [bib]
In Proceedings of 3rd International Symposium on Adaptive Systems: Evolutionary Computation and Probabilistic Graphical Models (ISAS 2001), Havana, Cuba, March, pp. 84-91, 2001, ICIMAF, ISBN:959-7056-14-3.

[11]

M. Rocha, P. Cortez and J. Neves, The Relationship between Learning and Evolution in Static and Dynamic Environments. [pdf] [RepositoriUM] [bib]
In C. Fyfe (Ed.), Proceedings of Second International Symposium on Engineering of Intelligent Systems (EIS2000), Paisley, Scotland, June, pp. 377-383, 2000, ICSC Academic Press.

[10]

P. Cortez, M. Rocha and J. Neves. An Evolutionary and Connectionist Approach for Time Series Forecasting. [pdf] [bib] [RepositoriUM]
In Proceedings of Thirteenth International Conference on Systems Engineering (ICSE 99), Las Vegas, USA, August, pp. 19-24, 1999, INCOSE.

[09]

J. Neves, P. Cortez, M. Rocha, A. Abelha, J. Machado, V. Alves, S. Basto, H. Botelho and João Neves. A Unified Framework for Data Modeling on Medical Information Systems¹⁰. [pdf] [RepositoriUM] [bib]
In P. Kokol, B. Zupan, J. Stare, M. Premik and R. Engelbrecht (Eds.), Medical Informatics Europe'99, Volume 68 Studies in Health Technology and Informatics, pp. 68-71, 1999, IOS press, ISBN:0-9673355-1-5.

[08]

J. Neves, J. Machado, P. Cortez, J. Arteiro and H. Vicente. A Distributed Web-based Water Quality Diagnosis and Simulation System in Lakes and Reservoirs. In A. Bargiela and E. Kerckhoffs (Eds.), Simulation Technology: Science and Art, Proceedings of ESS'98 - 10th European Simulation Symposium and Exibition, Nottingham, UK, October, pp. 296-301, 1998, SCS, ISBN:1-56555-147-8.

[07]

J. Neves and P. Cortez. Combining Genetic Algorithms, Neural Networks and Data Filtering for Time Series Forecasting. [pdf] [RepositoriUM] [bib]
In Nicos E. Mastorakis (Ed.), 2nd IMACS International Conference on: Circuits, Systems and Computers - CSC'98, Piraeus, Greece, October, pp. 933-939, 1998, IMACS.

[06]

J. Neves and P. Cortez. An Artificial Neural-Network Genetic Based Approach for Time Series Forecasting. [Abstract] [IEEE edition] [pdf] [RepositoriUM] [bib]
In D. L. Borges and W. Martins (Eds.), Proceedings of the 4th Brazilian Symposium on Neural Networks, Goiania, Brazil, December, pp. 9-13, 1997, IEEE Computer Society, ISBN:0-8186-8070-9.

[05]

J. Neves and P. Cortez. Artificial Intelligence in Knowledge Management for Times Series Forecasting. In M. H. Hamza (Ed.), Proceedings of ASC'97 - IASTED International Conference on Artificial and Soft Computing, Canada, July, pp. 384-388, 1997, ACTA Press. [RepositoriUM]

[04]

P. Cortez, J. Machado and J. Neves. Time Series Forecasting in a Distributed Environment. [pdf] [RepositoriUM] [bib]
In Proceedings of IBERAMIA 96, Vth Ibero-American Conference on Artificial Intelligence, Cholula, Puebla, Mexico, October, pp. 68-77, 1996, Limusa Noriega Editores.

[03]

P. Cortez, J. Machado and J. Neves. An Evolutionary Artificial Neural Network Time Series Forecasting System. [pdf] [bib] [RepositoriUM]
In M. H. Hamza (Ed.), Proceedings of IASTED International Conference on Artificial Intelligence, Expert Systems and Neural Networks, Honolulu, Havaii, USA, August, pp. 278-281, 1996, ACTA Press, ISBN:0-88986-211-7.

[02]

J. Neves, J. Machado, L. Costa and P. Cortez. A Software Agent Distributed System for Dynamic Load Balancing. In A. Javor, A. Lehmann and I. Molnar (Eds.), Modeling and Simulation, Proceedings of ESM 96, European Simulation Multiconference 96, Budapest, Hungrary, June, pp. 80-84, 1996, SCS, ISBN:1-56555-097-8.

[01]

P. Cortez, M. Rocha, J. Machado and J. Neves. A Neural Network Based Forecasting System. [IEEE edition] [pdf] [RepositoriUM] [bib]
In Proceedings of ICNN'95, 1995 IEEE International Conference on Neural Networks, Perth, Western Australia, November, Vol. 5, pp. 2689-2693, 1995, IEEE Computer Society, ISBN:0-7803-2769-1.