International Proceedings (with peer review)

Indexed Proceedings (ISI Web of Knowledge, Scopus, DBLP, IEEE Xplore, ACM Portal)

[99]
D. Nova, A. Ferreira and P. Cortez. A Machine Learning Approach to Detect Violent Behaviour from Video. [©Springer] In P. Cortez et al. (Eds.), A Machine Learning Approach to Detect Violent Behaviour from Video, INTETAIN 2018 proceedings, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), vol. 273, pp. 85-94, Guimarães, Portugal, November, 2018, Springer, ISBN 978-3-030-16446-1.

[98]
J. Tinoco, A.G. Correia, P. Cortez and D. Toll. Artificial Neural Networks for rock and soil cutting slopes stability condition prediction. [©Springer] [RepositoriUM] In J. Wasowski and T. Dijkstra (Eds.), Recent Research on Engineering Geology and Geological Engineering, Proceedings of 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures (GeoMEast 2018), pp. 105-114, Cairo, Egypt, November, 2018, Springer, ISBN 978-3-030-02031-6.

[97]
S. Gonçalves, P. Cortez and S. Moro. A Deep Learning Approach for Sentence Classification of Scientific Abstracts. In V. Kurková et al. (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2018, 22nd International Conference on Artificial Neural Networks, Lecture Notes in Computer Science (LNCS) 11141, part III, pp. 479-488, Rhodes, Greece, October, 2018, Springer, ISBN 978-3-030-01423-0.

[96]
L.M. Matos, P. Cortez, R. Mendes and A. Moreau. A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction. In Proceedings of 9th IEEE International Conference on Intelligent Systems (IS 2018), pp. 140-146, Funchal, Madeira, Portugal, September, 2018, IEEE, ISBN 978-1-5386-7097-2.

[95]
S. Silva, P. Cortez, R. Mendes, P.J. Pereira, L.M. Matos and L. Garcia. A Categorical Clustering of Publishers for Mobile Performance Marketing. [©Springer] In M. Graña et al. (Eds.), International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, Advances in Intelligent and Soft Computing (AISC) Vol. 771, pp. 145-154, San Sebastian, Spain, June, 2018, Springer, ISBN 978-3-319-94119-6.

[94]
J. Tinoco, A.G. Correia, P. Cortez and D. Toll. Machine learning algorithms for rock cutting slopes stability condition identification. [RepositoriUM] In Proceedings of 7th European Transport Research Arena (TRA) Conference, Vienna, Austria, April, 2018 (7 pages).

[93]
A. Hamdi, S.P. Hadiwardoyo, A.G. Correia, P. Pereira, P. Cortez. Prediction of Surface Distress Using Neural Networks. [©AIP] [RepositoriUM] In Proceedings of 3rd International Conference on Engineering, Technology, and Industrial Application (ICETIA), Surakarta, Indonesia, American Institute of Physics (AIP) Conference Proceedings, volume 1855, no., pp. 040006 (8 pages), 2017. DOI: 10.1063/1.4985502.

[91]
J. Tinoco, A.G. Correia, P. Cortez and D. Toll. Data-driven Classification Approaches for Stability Condition Prediction of Soil Cutting Slopes. [RepositoriUM] In Proceedings of the 19th International Conference on Soil Mechanics and Geotechnical Engineering (ICSMGE), pp. 3529-3532, Seoul 2017, September 2017.

[90]
P.J. Pereira, P. Cortez and R. Mendes. Multi-objective Learning of Neural Network Time Series Prediction Intervals. [©Springer] [RepositoriUM] In E. Oliveira et al. (Eds.), 18th EPIA Conference on Artificial Intelligence (EPIA 2017), Lecture Notes in Artificial Intelligence 10423, pp. 561-572, Porto, Portugal, September, 2017, Springer, ISBN 978-3-319-65339-6.

[89]
P. Cunha, A. Ferreira and P. Cortez. Mining Rational Team Concert Repositories: A Case Study on a Software Project. [©Springer] [RepositoriUM] In E. Oliveira et al. (Eds.), 18th EPIA Conference on Artificial Intelligence (EPIA 2017), Lecture Notes in Artificial Intelligence 10423, pp. 537-548, Porto, Portugal, September, 2017, Springer, ISBN 978-3-319-65339-6.

[88]
P. Afsar, P. Cortez and H. Santos. Human Skeleton Detection from Semi-Constrained Environment Video. [RepositoriUM] In M. Graña et al. (Eds.), In J. Ferrier et al. (Eds.), Proceedings of 12th International Conference on Computer Vision Theory and Applications (VISAPP 2017), pp. 384-389, volume 5, Porto, Portugal, February, 2017, SCITEPRESS, ISBN 978-989-758-226-4.

[87]
P. Cortez, L.M. Matos, P.J. Pereira, N. Santos and D. Duque. Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines. [©Springer] In M. Graña et al. (Eds.), Soft Computing Models in Industrial and Environmental Applications, 11th International Conference SOCO 2016, Advances in Intelligent and Soft Computing (AISC) Vol. 527, pp. 267-276, San Sebastian, Spain, October, 2016, Springer, ISBN 978-3-319-47363-5.

[86]
M. Parente, A.G. Correia and P. Cortez. Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation. [©Elsevier] In Proceedings of the 3rd International Conference on Transportation Geotechnics (ICTG 2016), Volume 143, pp. 506-513, Advances in Transportation Geotechnics III, Procedia Engineering, Guimarães, Portugal, September, 2016, Elsevier.

[85]
P. Cortez, N. Oliveira and J. Peixoto Ferreira. Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data. [©ACM] [bib] In Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics (WIMS'16), article no. 17, Nimes, France, June, 2016, ACM, ISBN 978-1-4503-4056-4/16/06 (10 pages).

[84]
P. Afsar, P. Cortez, H. Santos. Automatic Human Action Recognition from Video using Hidden Markov Model. [©IEEE] [RepositoriUM] [bib] In Proceedings of 18th IEEE International Conference on Computational Science and Engineering, pp. 105-109, Porto, Portugal, October, 2015, IEEE, ISBN 978-1-4673-8297-7.

[83]
M. Parente, A.G. Correia and P. Cortez. Modern optimization in earthwork construction. [RepositoriUM] In Proceedings of XVI European Conference on Soil Mechanics and Geotechnical Engineering (ECSMGE), pp. 343-348, Edinburgh, UK, September, 2015, Institution of Civil Engineers (ice) publishing, ISBN 978-0-7277-6067-8.

[82]
K. Fernandes, P. Vinagre and P. Cortez. A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. [©Springer] [RepositoriUM] [bib] In F. Pereira, P. Machado, E. Costa and A. Cardoso (Eds.), 17th Portuguese Conference on Artificial Intelligence (EPIA 2015), Lecture Notes in Artificial Intelligence 9273, pp. 535-546, Coimbra, Portugal, September, 2015, Springer, ISBN 978-3-319-23484-7.

[81]
M. Parente, A.G. Correia and P. Cortez. Combining Data Mining and Evolutionary Computation for Multi-Criteria Optimization of Earthworks. [©Springer] [RepositoriUM] [bib] In A. Gaspar-Cunha et al. (Eds.), 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Lecture Notes in Computer Science 9019, Part II, pp. 514-528, Guimarães, Portugal, March, 2015, Springer, ISBN 978-3-319-15891-4.

[80]
V. Pereira, P. Sousa, P. Cortez, M. Rio and M. Rocha, Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. [©Springer] [RepositoriUM] [bib] In A. Gaspar-Cunha et al. (Eds.), 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Lecture Notes in Computer Science 9019, Part II, pp. 573-587, Guimarães, Portugal, March, 2015, Springer, ISBN 978-3-319-15891-4.

[79]
J. Llargues, M. Asensio, J. Peralta Donate and P. Cortez. Evolving Artificial Neural Networks Applied to Generate Virtual Characters. [©IEEE] [RepositoriUM] [bib] In Proceedings of IEEE Conference on Computational Intelligence and Games (CIG), pp. 1-5, Dortmund, Germany, August, 2014, IEEE.

[78]
N. Oliveira, P. Cortez and N. Areal. Automatic Creation of Stock Market Lexicons for Sentiment Analysis Using StockTwits Data. [©ACM] [RepositoriUM] [bib] In Proceedings of 18th International Database Engineering & Applications Symposium (IDEAS'14), pp. 115-123, Porto, Portugal, July, 2014, ACM, ISBN 978-1-4503-2627-8.

[77]
M. Parente, A.G. Correia and P. Cortez. Use of DM techniques in earthworks management: A case study. [ASCE] In Proceedings of International Conference on Sustainable Infrastructure: Earthwork Project Management, Slope Stability Analysis, and Wave-Based Testing Techniques (Geo-Hubei 2014), Geotechnical Special Publication (GSP) 252, pp. 1-8, Hubei, China, July 2014, American Society of Civil Engineers (ASCE), ISBN 978-0-7844-7852-3.

[76]
A.G. Correia, J. Tinoco and P. Cortez. Use of Data Mining in Design of Soil Improvement by Jet Grouting. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 43-63, Durham, UK, July 2014, IOS Press, ISBN 978-1-61499-417-6.

[75]
M. Parente, A.G. Correia and P. Cortez. Artificial Neural Networks applied to an earthwork construction database. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 200-205, Durham, UK, July 2014, IOS Press, ISBN 978-1-61499-417-6.

[74]
J. Tinoco, A.G. Correia and P. Cortez. Update of Data Mining Models for the Prediction of Laboratory Soil-Cement Mechanical Properties. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 206-211, Durham, UK, July 2014, IOS Press, ISBN 978-1-61499-417-6.

[73]
M. Parente, A.G. Correia and P. Cortez. Use of DM techniques in earthworks management: A case study. [ASCE] [RepositoriUM] In Proceedings of International Conference on Sustainable Infrastructure: Earthwork Project Management, Slope Stability Analysis, and Wave-Based Testing Techniques (Geo-Hubei 2014), Geotechnical Special Publication (GSP) 252, pp. 1-8, Hubei, China, July 2014, American Society of Civil Engineers (ASCE), ISBN 978-0-7844-7852-3.

[72]
N. Caetano, R. Laureano and P. Cortez. A Data-driven Approach to Predict Hospital Length of Stay: a Portuguese Case Study. [©SCITEPRESS] [RepositoriUM] [bib] In S. Hammoudi, L. Maciaszek and J. Cordeiro (Eds.), Proceedings of 16th International Conference on Enterprise Information Systems - ICEIS 2014, pp. 407-414, Lisbon, Portugal, April, 2014, SCITEPRESS, ISBN 978-989-758-029-1.

[71]
J. Tinoco, A.G. Correia and P. Cortez. Data-driven models for uniaxial compressive strength prediction applied to unseen data. [RepositoriUM] [bib] In Stephan Onggo and Roger Brooks (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM'2013, pp. 183-187, Lancaster, UK, October, 2013, EUROSIS, ISBN 978-90-77381-66-3.

[70]
N. Oliveira, P. Cortez and N. Areal. On the Predictability of Stock Market Behavior using StockTwits Sentiment and Posting Volume. [©Springer] [RepositoriUM] [bib] In L. Correia et al. (Eds.), 16th Portuguese Conference on Artificial Intelligence (EPIA.2013), Lecture Notes in Artificial Intelligence 8154, pp. 355-365, Angra do Heroísmo, Açores, Portugal, September, 2013, Springer, ISBN 978-3-642-40668-3.

[69]
S. Jurado, J. Peralta Donate, A. Nebot, F. Mugica and P. Cortez. Short-term Electric Load Forecasting using Computational Intelligence Methods. [©IEEE] [RepositoriUM] [bib] In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, July, 2013, IEEE, ISBN 978-1-4244-6917-8 (DVD edition, 8 pages).

[68]
V. Pereira, M. Rocha, P. Cortez, M. Rio and P. Sousa. A Framework for Robust Traffic Engineering using Evolutionary Computation [©Springer] [RepositoriUM] [bib] In G. Doyen et al. (Eds.), 7th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2013), Lecture Notes in Computer Science 7943, pp. 1-12, Barcelona, June, 2013, Springer, ISBN 978-3-642-38997-9.

[67]
N. Oliveira, P. Cortez and N. Areal. Some Experiments on Modeling Stock Market Behavior Using Investor Sentiment Analysis and Posting Volume from Twitter. [©ACM] [RepositoriUM] [bib] In Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS'13), article no. 31, Madrid, Spain, June, 2013, ACM, ISBN 978-1-4503-1850-1.

[66]
V. Pereira, P. Sousa, P. Cortez, M. Rio and M. Rocha. Robust optimization of intradomain routing using evolutionary algorithms. [©Springer] [bib] Accepted for oral presentation in 10th International Symposium on Distributed Computing and Artificial Intelligence (DCAI), May, Salamanca, Spain, Springer 2013. In S. Omatu et al. (Eds.), 10th International Symposium on Distributed Computing and Artificial Intelligence (DCAI), Advances in Intelligent Systems and Computing Volume 217, pp. 201-208, Salamanca, Spain, May, 2013, Springer, ISBN 978-3-319-00550-8.

[65]
J. Tinoco, A.G. Correia and P. Cortez. Jet grouting deformability modulus prediction using data mining tools. [RepositoriUM] [bib] In Miura et al. (Eds.), Advances in Transportation Geotechnics II, Proceedings of the 2nd International Conference on Transportation Geotechnics (ICTG 2012), pp. 168-173, Hokkaido, Japan, September, 2012, Taylor & Francis Group, ISBN 978-0-415-62135-9.

[64]
P. Cortez and J. Peralta Donate. Evolutionary Support Vector Machines for Time Series Forecasting. [©Springer] [RepositoriUM] [bib] In A. Villa et al. (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 7553, pp. 523-530, Lausanne, Switzerland, September, 2012, Springer, ISSN 0302-9743, ISBN 978-3-642-33265-4.

[63]
P. Cortez, R. Vaz, M. Rocha, M. Rio and P. Sousa. Evolutionary Symbiotic Feature Selection for Email Spam Detection. [RepositoriUM] [bib] In J. Ferrier et al. (Eds.), Proceedings of 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2012), Volume 1, pp. 159-164, Rome, Italy, July, 2012, SciTePress, ISBN:978-989-8565-21-1.

[62]
B.P. Gonzalez, J. Peralta Donate, P. Cortez, G. Sánchez and A. de Miguel. Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. [©IEEE] [RepositoriUM] [bib] In Proceedings of IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2012), pp. 186-191, Madrid, Spain, May, 2012, IEEE, ISBN 978-1-4673-1727-6.

[61]
T. Calçada, P. Cortez and M. Ricardo. Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks. [©IEEE] [RepositoriUM] [bib] In Proceedings of 2012 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1725-1730, April, 2012, IEEE, ISBN 978-1-4673-0437-5.

[60]
J. Tinoco, A.G. Correia and P. Cortez. Jet Grouting Mechanicals Properties Prediction using Data Mining Techniques. [ASCE] [RepositoriUM] [bib] In L. Johnsen et al. (Eds.), Proceedings of the Fourth International Conference on Grouting and Deep Mixing (GROUT 2012), Geotechnical Special Publication (GSP) 228, pp. 2082-2019, New Orleans, USA, February 2012, American Society of Civil Engineers (ASCE), ISBN 978-0-7844-1235-0.

[59]
S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. [RepositoriUM] [bib] In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM'2011, pp. 117-121, Guimarães, Portugal, October, 2011, EUROSIS, ISBN 978-90-77381-66-3.
[58]
J. Tinoco, A.G. Correia and P. Cortez. Uniaxial Compressive Strength Prediction of Jet Grouting Columns using Support Vector Machines. [RepositoriUM] [bib] In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM'2011, pp. 326-330, Guimarães, Portugal, October, 2011, EUROSIS, ISBN 978-90-77381-66-3.

[57]
J. Tinoco, A.G. Correia and P. Cortez. Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time. [©Springer] [RepositoriUM] [bib] In L. Antunes et al. (Eds.), 15th Portuguese Conference on Artificial Intelligence (EPIA.2011), Lecture Notes in Artificial Intelligence 7026, pp. 491-505, Lisbon, Portugal, October, 2011, Springer, ISSN 0302-9743, ISBN 978-3-642-24768-2.

[56]
M. Stepnicka, J. Peralta Donate, P. Cortez, L. Vavricková, G. Sánchez. Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. [Atlantis Press] [RepositoriUM] [bib] In S. Galichet et al. (Eds.), Proceedings of 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, pp. 464-471, Aix-Les-Bains, France, July 2011, Atlantis Press, ISBN 978-90-78677-00-0.

[55]
J. Peralta Donate, P. Cortez, G. Sánchez and A. de Miguel. Evolving Sparsely Connected Neural Networks for Multi-Step Ahead Forecasting. [©ACM] [RepositoriUM] [bib] In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO), pp. 219-220, Dublin, Ireland, July, 2011, ACM, ISBN 978-1-4503-0690-4.

[54]
J. Peralta Donate, P. Cortez, G. Sánchez and A. de Miguel. Evolving Time-Lagged Feedforward Neural Networks for Time Series Forecasting. [©ACM] [RepositoriUM] [bib] In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO), pp. 163-164, Dublin, Ireland, July, 2011, ACM, ISBN 978-1-4503-0690-4.

[53]
J. Tinoco, A.G. Correia and P. Cortez. A Data Mining Approach for Predicting Jet Grouting Geomechanical Parameters. [©ASCE] [RepositoriUM] [bib] In L. Walubita et al. (Eds.), Proceedings of GeoHunan International Conference 2011: Road Materials and New Innovations in Pavement Engineering, Geotechnical Special Publication (GSP) 223, pp. 97-104, Hunan, China, June, 2011, American Society of Civil Engineers (ASCE), ISBN 978-0-7844-7634-5.

[52]
P. Sousa, P. Cortez, M. Rio and M. Rocha. Traffic Engineering approaches using Multicriteria Optimization Techniques. [©Springer] [RepositoriUM] [bib] In X. Masip-Bruin and D. Verchere (Eds.), Wired/Wireless Internet Communications, 9th International Conference (WWIC), Lecture Notes in Computer Science 6649, pp. 104-115, Vilanova i la Geltrú, Spain, June, 2011, Springer, ISSN 0302-9743, ISBN 978-3-642-21559-9.

[51]
M. Rocha, T. Sá, P. Sousa, P. Cortez and M. Rio. Multiobjective Evolutionary Algorithms for Intradomain Routing Optimization. [©IEEE] [RepositoriUM] [bib] In Proceedings of the 2011 International Conference on Evolutionary Computation (CEC), New Orleans, USA, June, 2011, IEEE, ISBN 978-1-4244-7833-0/11 (DVD edition, 8 pages).

[50]
J. Tinoco, A.G. Correia and P. Cortez. Application of Data Mining Techniques in the Estimation of Mechanical Properties of Jet Grouting Laboratory Formulations over Time1. [©Springer] [RepositoriUM] [bib] In A. Gaspar-Cunha et al. (Eds.), Soft Computing in Industrial Applications, Advances in Intelligent and Soft Computing (AISC) vol. 96, pp. 283-292, 2011, Springer, ISBN 978-3-642-20504-0.

[49]
J. Peralta Donate, P. Cortez, G. Sánchez and A. de Miguel. Weighted cross-validation evolving artificial neural networks to forecast time series. [©Springer] [RepositoriUM] [bib] In E. Corchado et al. (Eds.), Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011, Advances in Intelligent and Soft Computing (AISC) Vol. 87, pp. 147-154, Salamanca, Spain, April, 2011, Springer, ISBN 978-3-642-19643-0.

[48]
P. Cortez and M.J. Embrechts. Opening Black Box Data Mining Models Using Sensitivity Analysis. [©IEEE] [RepositoriUM] [bib] In Proceedings of the 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), pp. 341-348, Paris, France, April, 2011, IEEE , ISBN 978-1-4244-9925-0 (electronic edition).

[47]
P. Sousa, A. Machado, M. Rocha, P. Cortez and M. Rio. A Collaborative Approach for Spam Detection. [©IEEE] [RepositoriUM] [bib] In Proceedings of the 2010 Second International Conference on Evolving Internet, pp. 92-97, Valencia, Spain, September, 2010, IEEE, ISBN 978-0-7695-4185-3/10 (DVD edition).

[46]
P. Cortez. Sensitivity Analysis for Time Lag Selection to Forecast Seasonal Time Series using Neural Networks and Support Vector Machines. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2010), pp. 3694-3701, Barcelona, Spain, July, 2010, IEEE, ISBN 978-1-4244-6917-8 (DVD edition).

[45]
P. Cortez. Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool. [©Springer] [pdf] [RepositoriUM] [bib] In P. Perner (Ed.), Advances in Data Mining - Applications and Theoretical Aspects 10th Industrial Conference on Data Mining (ICDM 2010), Lecture Notes in Artificial Intelligence 6171, pp. 572-583, Berlin, Germany, July, 2010, Springer, ISSN 0302-9743, ISBN 978-3-642-14399-1.

[44]
P. Cortez, A. Correia, P. Sousa, M. Rocha and M. Rio. Spam Email Filtering Using Network-Level Properties. [©Springer] [pdf] [RepositoriUM] [bib] In P. Perner (Ed.), Advances in Data Mining - Applications and Theoretical Aspects 10th Industrial Conference on Data Mining (ICDM 2010), Lecture Notes in Artificial Intelligence 6171, pp. 476-489, Berlin, Germany, July, 2010, Springer, ISSN 0302-9743, ISBN 978-3-642-14399-1.
[43]
F. Silva, P. Cortez and V. Cadavez. Using Multiple Regression, Neural Networks and Support Vector Machines to Predict Lamb Carcasses Composition. [pdf] [RepositoriUM] [bib] In V. Cadavez et al. (Eds.), Proceedings of FOODSIM'2010 conference pp. 41-45, Bragança, Portugal, June, 2010, EUROSIS, ISBN 978-90-77381-56-1.
[42]
J. Tinoco, A.G. Correia and P. Cortez. A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), pp. 553-558, Coimbatore, India, December, 2009, IEEE, ISBN 978-1-4244-5612-3/09.

[41]
R. Costa, N. Cachulo and P. Cortez. An Intelligent Alarm Management System for Large-Scale Telecommunication Companies. [©Springer] [pdf] [RepositoriUM] [bib] In L. Lopes et al. (Eds.), Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence (EPIA'2009), Lecture Notes in Artificial Intelligence 5816, pp. 386-399, Aveiro, Portugal, October, 2009, Springer, ISSN 0302-9743, ISBN-10 3-642-04685-1.
[40]
P. Cortez, J. Teixeira, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Using Data Mining for Wine Quality Assessment. [©Springer] [pdf] [RepositoriUM] [bib] In J. Gama et al. (Eds.), Discovery Science, 12th International Conference, DS 2009, Lecture Notes in Artificial Intelligence 5808, pp. 66-69, Porto, Portugal, October, 2009, Springer, ISSN 0302-9743, ISBN-10 3-642-04746-7.
[39]
P. Cortez, C. Lopes, P. Sousa, M. Rocha and M. Rio. Symbiotic Data Mining for Personalized Spam Filtering. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI-09), pp. 149-156, Milan, Italy, September, 2009, IEEE, ISBN 978-0-7695-3801-3.
[38]
R. Marques, A.G. Correia and P. Cortez Data Mining applied to compaction of geomaterials. [©Taylor & Francis] [RepositoriUM] In Tutumluer & Al-Qadi (Eds.), Proceedings of the Eighth International Conference on the Bearing Capacity of Roads, Railways, and Airfields (BCR2A'09), pp. 597-605, Illinois, USA, June 2009, Taylor & Francis, ISBN 978-0-415-87199-0.

[37]
M. Rocha, P. Sousa, P. Cortez and M. Rio. Multiconstrained Optimization of Networks with Multicast and Unicast Traffic. [©Springer] [RepositoriUM] [bib] In G. Pvlou el al. (Eds.), Management of Converged Multimedia Networks and Services, 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (MMNS 2008), Lecture Notes in Computer Science 5274, pp. 139-150, Samos Island, Greece, September, 2008, Springer, ISSN 0302-9743, ISBN 978-3-540-87358-7.
[36]
M.F. Santos, H. Quintela, P. Cortez and J.O. Almeida. An intelligent decision support system for bridge safety assessment based on Data Mining models. [WIT] [RepositoriUM] In A. Zanasi, A. Gomar, N. Ebecken and C. Brebbia (Eds.), Data Mining IX - Data Mining, Protection, Detection and other Security Technologies, WIT Transactions of Information and Communication Technologies, Vol. 40, pp. 225-236, 2008, WIT Press, UK, ISBN 978-1-84564-110-8.

[35]
P. Cortez, M. Rio, P. Sousa and M. Rocha. Forecasting Internet Traffic by Neural Networks Under Univariate and Multivariate Strategies. [pdf] [RepositoriUM] [bib] In K. Madani (Ed.), Proceedings of 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008), pp. 61-71, Funchal, Portugal, May, 2008, INSTICC Press, ISBN 978-989-8111-33-3.

[34]
M. Rocha, P. Sousa, P. Cortez and M. Rio. An Evolutionary Algorithm for Unicast/Multicast Traffic Engineering. [RepositoriUM] [bib] In Proceedings of 5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008), pp. 238-243, Funchal, Portugal, May, 2008, INSTICC Press, ISBN 978-989-8111-30-2.
[33]
P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. [pdf] [RepositoriUM] [bib] In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7.

[32]
H. Quintela, M. F. Santos and P. Cortez. Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. [©Springer] [RepositoriUM] [bib] In J. Neves, M. F. Santos and J. Machado (Eds.), Progress In Artificial Intelligence, 13th EPIA Portuguese Conference on Artificial Intelligence, Lecture Notes in Computer Science 4874, pp. 124-132, Guimarães, Portugal, December, 2007, Springer, ISSN 0302-9743, ISBN 978-3-540-77000-8.
[31]
P. Cortez, M. Rio, P. Sousa and M. Rocha. Topology Aware Internet Traffic Forecasting using Neural Networks. [©Springer] [pdf] [RepositoriUM] [bib] In J. de Sá et al. (Eds.), Artificial Neural Networks - ICANN, 17th International Conference, Lecture Notes in Computer Science 4669, pp. 445-454, Porto, Portugal, September, 2007, Springer, ISSN 0302-9743, ISBN 978-3-540-74693-5.

[30]
P. Sousa, M. Rocha, M. Rio and P. Cortez. Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation. [©Springer] [RepositoriUM] [bib] In F. Boavida et al. (Eds.), Wired/Wireless Internet Communications, 5th International Conference (WWIC), Lecture Notes in Computer Science 4517, pp. 141-152, Coimbra, Portugal, May, 2007, Springer, ISSN 0302-9743, ISBN 978-3-540-72694-4.
[29]
T. Miranda, A.G. Correia, I. Nogueira, M.F. Santos, P. Cortez and L. R. Sousa. Alternative models for the calculation of the RMR and Q indexes for granite rock masses. [RepositoriUM] In L.R. Sousa, M.M. Fernandes, E.A. Vargas and R.F. Azevedo (Eds.), Proceedings of the 5th International Workshop on Applications of Computational Mechanics in Geotechnical Engineering, pp. 151-162, Guimarães, Portugal, April, 2007, Taylor & Francis, London, ISBN 978-0-415-43789-9.

[28]
D. Duque, H. Santos and P. Cortez. Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007), pp. 362-367, Honolulu, USA, April, 2007, IEEE, ISBN 1-4244-0698-6.

[27]
M. Rocha, P. Sousa, M. Rocha, P. Cortez and M. Rio. Evolutionary Computation for Quality of Service Internet Routing Optimization. [©Springer] [RepositoriUM] [bib] In M. Giacobini et al. (Eds.), Applications of Evolutionary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Lecture Notes in Computer Science 4448, pp. 71-80, Valencia, Spain, April, 2007, Springer, ISSN 0302-9743, ISBN 978-3-540-71804-8.
[26]
P. Sousa, M. Rocha, M. Rio and P. Cortez. Efficient OSPF Weight Allocation for Intra-domain QoS Optimization. [©Springer] [RepositoriUM] [bib] In G. Parr, D. Malone and M. Foghlú (Eds.), Autonomic Principles of IP Operations and Management, 6th IEEE International Workshop on IP Operations and Management (IPOM), Lecture Notes in Computer Science 4268, pp. 37-48, Dublin, Ireland, October, 2006, Springer, ISSN 0302-9743, ISBN 3-540-47701-2.
[25]
D. Duque, H. Santos and P. Cortez. The OBSERVER: an Intelligent and Automated Video Surveillance System. [©Springer] [RepositoriUM] [bib] In A. Campilho and M. Kamel (Eds), Image Analysis and Recognition, Third International Conference ICIAR, Lecture Notes in Computer Science 4141, pp. 898-909, Póvoa de Varzim, Portugal, September, 2006, Springer, ISSN 0302-9743, ISBN 3-540-44891-8.

[24]
D. Duque, H. Santos and P. Cortez. N-ary Trees Classifier. [pdf] [RepositoriUM] [bib] In J. Cetto, J. Ferrier, J. Pereira and J. Filipe (Eds.), Proceedings of the 3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO): Robotics and Automation, pp. 457-460, Setúbal, Portugal, August, 2006, INSTICC, ISBN 972-8865-60-0.

[23]
M.F. Santos, P. Cortez, J. Pereira and H. Quintela. Corporate Bankruptcy Prediction using Data Mining Techniques2. [WIT] [RepositoriUM] In A. Zanasi, C. Brebbia and N. Ebecken (Eds.), Data Mining VII - Data, Text and Web Mining, and their Business Applications, WIT Transactions of Information and Communication Technologies, vol. 37, pp. 349-357, 2006, WIT Press, UK, ISSN 1743-4463, ISBN 1-84564-178-7.

[22]
P. Cruz, L. Lourenço, M.F. Santos, H. Quintela and P. Cortez. Strength of corroded tapered plate girders under pure shear. [RepositoriUM] In P. Cruz, D. Frangopol and L. Neves (Eds.), Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management, Porto, Portugal, July, 2006, Taylor & Francis, ISBN 0-415-40315-4.
[21]
P. Cortez, M. Rio, M. Rocha and P. Sousa. Internet Traffic Forecasting using Neural Networks. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of the 2006 International Joint Conference on Neural Networks IJCNN 2006, pp. 4942-4949, Vancouver, Canada, July, 2006, IEEE, ISBN 0-7803-9489-5 (DVD edition).

[20]
M. Rocha, P. Sousa, M. Rio and P. Cortez. QoS Constrained Internet Routing with Evolutionary Algorithms. [©IEEE] [RepositoriUM] [bib] In Proceedings of the 2006 International Conference on Evolutionary Computation (CEC), pp. 9270-9277, Vancouver, Canada, July, 2006, IEEE, ISBN 0-7803-9489-5 (DVD edition).

[19]
P. Cortez, M. Portelinha, S. Rodrigues, V. Cadavez and A. Teixeira. Lamb Meat Tenderness Prediction Using Neural Networks and Sensitivity Analysis. [pdf] [RepositoriUM] [bib] In J. Feliz-Teixeira and A. Brito (Eds.), Proceedings of the European Simulation and Modeling Conference - ESM'2005, pp. 177-181, Oporto, Portugal, October, 2005, EUROSIS, ISBN 90-77381-22-8.

[18]
D. Duque, H. Santos and P. Cortez. Moving Object Detection Unaffected by Cast Shadows, Highlights and Ghosts. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of The IEEE International Conference on Image Processing (ICIP-05), Vol. III, pp. 413-416, Genova, Italy, September, 2005, IEEE, ISBN 0-7803-9134-9.

[17]
M. Rocha, P. Cortez and J. Neves. Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. [©Springer] [pdf] [RepositoriUM] [bib] In J. Cabestany, A. Prieto and D. Sandoval (Eds.), Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks (IWANN), Lecture Notes in Computer Science 3512, pp. 59-66, Barcelona, Spain, June, 2005, Springer, Germany, ISSN 1743-4463, ISBN 3-540-26208-3.
[16]
M.F. Santos, P. Cortez, H. Quintela, J. Neves, H. Vicente and J. Arteiro. Ecological Mining - A Case Study on Dam Water Quality3. [WIT] [RepositoriUM] 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, 2005, WIT Press, UK, ISNN:1746-4463, ISBN 1-84564-017-9.

[15]
M.F. Santos, P. Cortez, H. Quintela and F. Pinto. A Clustering Approach for Knowledge Discovery in Database Marketing4. [WIT] [RepositoriUM] 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, 2005, WIT Press, UK, ISSN 1746-4463, ISBN 1-84564-017-9.

[14]
M. Rocha, P. Cortez and J. Neves. Evolutionary Design of Neural Networks for Classification and Regression5. [©Springer] [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, Vienna, Austria, ISBN 3-211-24934-6.

[13]
Á. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. [©Springer] [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.

[12]
M. Rocha, P. Cortez and J. Neves. Evolutionary Neural Network Learning. [©Springer] [pdf] [RepositoriUM] [bib] In F. Pires and S. Abreu (Eds.), Progress in Artificial Intelligence, 11th Portuguese Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence 2902, pp. 24-28, Beja, Portugal, December, 2003, Springer, ISSN 0302-9743, ISBN 3-540-20589-6.

[11]
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), pp. 487-492, Bruges, Belgium, April, 2003, d-side.

[10]
R. Mendes, P. Cortez, M. Rocha and J. Neves. Particle Swarms for Feedforward Neural Network Training. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of The 2002 International Joint Conference on Neural Networks (IJCNN 2002), Vol. 2, pp. 1895-1899, Honolulu, Havai, USA, May, 2002, IEEE, ISBN 0-7803-7278-6.

[09]
P. Cortez, M. Rocha and J. Neves. Genetic and Evolutionary Algorithms for Time Series Forecasting. [©Springer] [pdf] [RepositoriUM] [bib] In L. Monostori, J. Váncza and M. Ali (Eds), Engineering of Intelligent Systems, 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Lecture Notes in Artificial Intelligence 2070, pp. 393-402, Budapest, Hungary, June, 2001, Springer, ISSN 0302-9743, ISBN 3-540-42219-6.

[08]
M. Rocha, R. Mendes, P. Cortez and J. Neves. Sitting Guests at a Wedding Party: Experiments on Genetic and Evolutionary Constrained Optimization. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of the 2001 Congress on Evolutionary Computation (CEC2001), Vol. 1, pp. 671-678, Seoul, Korea, May, 2001, IEEE, ISBN 0-7803-6657-3.

[07]
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), pp. 153-158, Bruges, Belgium, April, 2001, D-Facto.
[06]
M. Rocha, C. Vilela, P. Cortez and J. Neves. Viewing Scheduling Problems through Genetic and Evolutionary Algorithms6. [©Springer] [pdf] [RepositoriUM] [bib] In J. Rolim et al. (Eds.), Parallel and Distributed Processing, 15 IPDPS 2000 Workshops, Lecture Notes in Computer Science 1800, pp. 612-619, May, 2000, Springer, ISSN 0302-9743, ISBN 3-540-67442-X.

[05]
J. Neves, P. Cortez, M. Rocha, A. Abelha, J. Machado, V. Alves, S. Basto, H. Botelho and J. Neves. A Unified Framework for Data Modeling on Medical Information Systems7. [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.

[04]
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, pp. 296-301, Nottingham, UK, October, 1998, SCS, ISBN 1-56555-147-8.

[03]
J. Neves and P. Cortez. An Artificial Neural-Network Genetic Based Approach for Time Series Forecasting. [©IEEE] [pdf] [RepositoriUM] [bib] In D. L. Borges and W. Martins (Eds.), Proceedings of the 4th Brazilian Symposium on Neural Networks (SBRN), pp. 9-13, Goiania, Brazil, December, 1997, IEEE, ISBN 0-8186-8070-9.

[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, pp. 80-84, Budapest, Hungrary, June, 1996, SCS, ISBN 1-56555-097-8.

[01]
P. Cortez, M. Rocha, J. Machado and J. Neves. A Neural Network Based Time Series Forecasting System. [©IEEE] [pdf] [RepositoriUM] [bib] In Proceedings of ICNN'95, 1995 IEEE International Conference on Neural Networks, Perth, Western Australia, Vol. 5, pp. 2689-2693, November, 1995, IEEE, ISBN 0-7803-2769-1.

Other Proceedings

[24]
A.G. Correia, J. Tinoco and P. Cortez. Use of Data Mining in Design of Soil Improvement by Jet Grouting. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 43-63, Durham, UK, July 2014, IOS Press.
[23]
M. Parente, A.G. Correia and P. Cortez. Artificial Neural Networks applied to an earthwork construction database. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 200-205, Durham, UK, July 2014, IOS Press.
[22]
J. Tinoco, A.G. Correia and P. Cortez. Update of Data Mining Models for the Prediction of Laboratory Soil-Cement Mechanical Properties. [RepositoriUM] [bib] In D.G. Toll et al. (Eds.), Proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG), pp. 206-211, Durham, UK, July 2014, IOS Press.

[21]
J. Tinoco, A.G. Correia and P. Cortez. Application of a sensitivity analysis procedure to interpret uniaxial compressive strength prediction of jet grouting laboratory formulations performed by SVM model. [RepositoriUM] In N. Denies and N. Huybrechts Eds., Proceedings of the International Symposium on Recent Research, Advances & Execution Aspects of Ground Improvement Works (IS-GI Brussels 2012), Volume IV, pp. 317-326, Brussels, Belgium, June, 2012, ISSMGE Technical Committee TC 211 Ground Improvement.
[20]
S. Moro, R. Laureano and P. Cortez. Enhancing Bank Direct Marketing through Data Mining. [RepositoriUM] [bib] In Proceedings of the 41th European Marketing Academy Conference (EMAC), Lisbon, Portugal, May, 2012, European Marketing Academy, ISBN 978-989-732-004-0.
[19]
A.G. Correia, P. Cortez and J. Tinoco. Application of Data Mining in Transportation Geotechnics. [RepositoriUM] In K. K. Phoon et al. (Eds.), Proceedings of the International Symposium on Advances in Ground Technology and Geo-Information (IS-AGTG), pp. 24-40, Singapore, December, 2011, Research Publishing (RPS), ISBN 978-981-07-0188-8.

[18]
J. Tinoco, A.G. Correia and P. Cortez. Application of Data Mining Techniques to Estimate Elastic Young Modulus Over Time of Jet Grouting Laboratory Formulations. [RepositoriUM] In D.G. Toll et al. (Eds.), Proceedings of the 1st International Conference on Information Technology in Geo-Engineering (ICITG), pp. 92-100, Shangai, China, September 2010, IOS Press, ISBN 978-1-60750-616-4.

[17]
C. Lopes, P. Cortez and P. Sousa. Towards Symbiotic Spam E-mail Filtering. [pdf] [RepositoriUM] In J. Gama et al. (Eds), Proceedings of Workshop on Ubiquitous Data Mining, in conjunction with 19th European Conference on Artificial Intelligence (ECAI2010), pp. 25-26, Lisbon, Portugal, August, 2010.
[16]
D. Duque, H. Santos e P. Cortez. Avaliação de Desempenho na Segmentação e Seguimento de Objectos no Sistema Observer. [RepositoriUM] In Proceedings do Congresso Luso-Moçambicano de Engenharia, Maputo, Moçambique, artigo 05A005, Setembro, 2008, ISBN 978-972-8826-20-8.
[15]
P. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. [pdf] [RepositoriUM] [bib] In J. Neves, M. F. Santos and J. Machado (Eds.), New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, pp. 512-523, Guimarães, Portugal, December, 2007, APPIA, ISBN-13 978-989-95618-0-9.

[14]
M.F. Santos, P. Cortez, P. Gago, Á. Silva e F. Rua. Intelligent Decision Support in Intensive Care Medicine. [RepositoriUM] In Z. Vale, C. Ramos and L. Faria (Eds.), Knowledge and Decision Technologies, 2nd International Conference on Knowledge Engineering and Decision Support (ICKEDS'06), pp. 401-405, Lisbon, Portugal, May, 2006, ISEP, Porto, ISBN 972-8688-39-3.

[13]
F. Pinto, M.F. Santos, P. Cortez and H. Quintela. Data Pre-processing for Database Marketing. [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, pp. 76-84, November, Malaga, Spain, 2004, ISBN 972-9119-59-7.

[12]
M. Rocha, P. Cortez, R. Mendes and J. Neves. An Architecture for Co-Evolving Agents in the ROBOCUP Simulation League. [RepositoriUM] [bib] In H. Coelho and B. Espinasse (Eds.), Proceedings of 5th Workshop on Agent-Based Simulation, pp. 127-132, Lisbon, Portugal, May, 2004, SCS.

[11]
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 (EIS 2004), Madeira, Portugal, March, 2004, ICSC Academic Press, ISBN 3-906454-35-5.

[10]
Á. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Organ Failure Diagnosis by Artificial Neural Networks. In M.H. Hamza (Ed.), Proceedings of the Third IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), pp. 706-711, Benalmádena, Spain, September, 2003, ACTA Press.
[09]
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), pp. 52-57, Málaga, Spain, September, 2002, ACTA Press, ISBN 0-88986-352-0.

[08]
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), pp. 21-31, Porto, Portugal, December, 2001.

[07]
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), pp. 84-91, Havana, Cuba, March, 2001, ICIMAF, ISBN 959-7056-14-3.

[06]
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), pp. 377-383, Paisley, Scotland, June, 2000, ICSC Academic Press.

[05]
P. Cortez, M. Rocha and J. Neves. An Evolutionary and Connectionist Approach for Time Series Forecasting. [pdf] [RepositoriUM] [bib] In Proceedings of Thirteenth International Conference on Systems Engineering (ICSE 99), pp. 19-24, Las Vegas, USA, August, 1999, INCOSE.
[04]
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, pp. 933-939, Piraeus, Greece, October, 1998, IMACS.
[03]
J. Neves and P. Cortez. Artificial Intelligence in Knowledge Management for Times Series Forecasting. [RepositoriUM] In M. H. Hamza (Ed.), Proceedings of ASC'97 - IASTED International Conference on Artificial and Soft Computing, pp. 384-388, Canada, July, 1997, ACTA Press.

[02]
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, pp. 68-77, Cholula, Puebla, Mexico, October, 1996, Limusa Noriega Editores.
[01]
P. Cortez, J. Machado and J. Neves. An Evolutionary Artificial Neural Network Time Series Forecasting System. [pdf] [RepositoriUM] [bib] In M. H. Hamza (Ed.), Proceedings of IASTED International Conference on Artificial Intelligence, Expert Systems and Neural Networks, pp. 278-281, Honolulu, Havaii, USA, August, 1996, ACTA Press, ISBN 0-88986-211-7.
Publications