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ORCIDMiguel Rocha 0001
Miguel P. Rocha 0001 – Miguel Francisco de Almeida Pereira da Rocha
Person information
- affiliation: University of Minho, Center of Biological Engineering, Braga, Portugal
Other persons with the same name
- Miguel Rocha 0002 — University of Aveiro, Portugal
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2020 – today
- 2024
[j62]Tânia Barata
, Vítor Pereira, Ricardo Pires das Neves, Miguel Rocha:
Reconstruction of cell-specific models capturing the influence of metabolism on DNA methylation in cancer. Comput. Biol. Medicine 170: 108052 (2024)- [j61]Marta Sampaio, Miguel Rocha, Oscar Días:
A diel multi-tissue genome-scale metabolic model of Vitis vinifera. PLoS Comput. Biol. 20(10): 1012506 (2024) - [j60]Fernando Cruz, João Capela, Eugénio C. Ferreira, Miguel Rocha, Oscar Días:
BioISO: An Objective-Oriented Application for Assisting the Curation of Genome-Scale Metabolic Models. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 215-226 (2024) - 2023
- [j59]Delora Baptista, Pedro G. Ferreira, Miguel Rocha:
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. PLoS Comput. Biol. 19(3) (2023) - [j58]Emanuel Cunha, Miguel Silva, Inês Chaves, Hüseyin Demirci, Davide Lagoa, Diogo Lima, Miguel Rocha, Isabel Rocha, Oscar Días:
The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber. PLoS Comput. Biol. 19(9) (2023) - [c123]Ana Marta Sequeira, Ivan Gomes, Miguel Rocha:
Word embeddings for protein sequence analysis. CIBCB 2023: 1-8 - [c122]João Correia, Vitor Pereira, Miguel Rocha:
Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design. GECCO 2023: 900-909 - [c121]Diego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto:
A New GIMME-Based Heuristic for Compartmentalised Transcriptomics Data Integration. PACBB 2023: 44-52 - [e16]Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Simona Caraiman, Ana Belén Gil González:
Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022), 13-15 July, 2022, L'Aquila, Italy. Lecture Notes in Networks and Systems 553, Springer 2023, ISBN 978-3-031-17023-2 [contents] - [e15]Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil González:
Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023), 12th-14th July, 2023, Guimarães, Portugal. Lecture Notes in Networks and Systems 743, Springer 2023, ISBN 978-3-031-38078-5 [contents] - 2022
- [j57]Tânia Barata, Vítor Vieira, Rúben Rodrigues, Ricardo Pires das Neves, Miguel Rocha:
Reconstruction of tissue-specific genome-scale metabolic models for human cancer stem cells. Comput. Biol. Medicine 142: 105177 (2022) - [j56]Elsa Costa e Silva, Teresa Lino-Neto, Eugénia Ribeiro, Miguel Rocha, Manuel João Costa:
Going virtual and going wide: comparing Team-Based Learning in-class versus online and across disciplines. Educ. Inf. Technol. 27(2): 2311-2329 (2022) - [j55]Ana Marta Sequeira, Diana Lousa, Miguel Rocha:
ProPythia: A Python package for protein classification based on machine and deep learning. Neurocomputing 484: 172-182 (2022) - [j54]Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha:
Evaluating molecular representations in machine learning models for drug response prediction and interpretability. J. Integr. Bioinform. 19(3) (2022) - [j53]Vitor Pereira, Pedro Sousa, Miguel Rocha:
A comparison of multi-objective optimization algorithms for weight setting problems in traffic engineering. Nat. Comput. 21(3): 507-522 (2022) - [j52]Vítor Vieira, Jorge Ferreira, Miguel Rocha:
A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scale. PLoS Comput. Biol. 18(6) (2022) - [c120]Miguel Martins, Miguel Rocha, Vitor Pereira:
Variational Autoencoders and Evolutionary Algorithms for Targeted Novel Enzyme Design. CEC 2022: 1-8 - [c119]João Capela, João Correia, Vitor Pereira, Miguel Rocha:
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. IJCNN 2022: 1-8 - [c118]João Correia, Rafael Carreira, Vitor Pereira, Miguel Rocha:
Predicting the number of biochemical transformations needed to synthesize a compound. IJCNN 2022: 1-8 - [e14]Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara:
Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021), Salamanca, Spain, 6-8 October, 2021. Lecture Notes in Networks and Systems 325, Springer 2022, ISBN 978-3-030-86257-2 [contents] - [d2]Delora Baptista, Pedro G. Ferreira, Miguel Rocha:
Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer". Zenodo, 2022
- 2021
- [j51]Delora Baptista, Pedro G. Ferreira, Miguel Rocha:
Deep learning for drug response prediction in cancer. Briefings Bioinform. 22(1): 360-379 (2021) - [j50]Vitor Pereira, Fernando Cruz, Miguel Rocha:
MEWpy: a computational strain optimization workbench in Python. Bioinform. 37(16): 2494-2496 (2021) - [j49]Tiago Sousa, João Correia, Vitor Pereira, Miguel Rocha:
Generative Deep Learning for Targeted Compound Design. J. Chem. Inf. Model. 61(11): 5343-5361 (2021) - [c117]Tiago Sousa, João Correia, Vitor Pereira, Miguel Rocha:
Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design. EvoApplications 2021: 81-96 - [c116]João Reis, Truong Khoa Phan, Morteza Kheirkhah, Fan Yang, David Griffin, Miguel Rocha, Miguel Rio:
R2L: Routing With Reinforcement Learning. IJCNN 2021: 1-7 - [c115]Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais:
Computational Methods for the Identification of Genetic Variants in Complex Diseases. PACBB 2021: 1-10 - [c114]Bruno Pereira, Marcelo Maraschin, Miguel Rocha:
Computational Tools for the Analysis of 2D-Nuclear Magnetic Resonance Data. PACBB 2021: 52-61 - [c113]Ana Marta Sequeira, Miguel Rocha:
Recurrent Deep Neural Networks for Enzyme Functional Annotation. PACBB 2021: 62-73 - [c112]Nuno Alves, Rúben Rodrigues, Miguel Rocha:
BioTMPy: A Deep Learning-Based Tool to Classify Biomedical Literature. PACBB 2021: 115-125 - [c111]Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha:
A Comparison of Different Compound Representations for Drug Sensitivity Prediction. PACBB 2021: 145-154 - [c110]Vitor Pereira, Miguel Rocha:
Combinatorial Optimization of Succinate Production in Escherichia coli. PACBB 2021: 155-164 - [e13]Gabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara:
Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), L'Aquila, Italy, 17-19 June, 2020. Advances in Intelligent Systems and Computing 1240, Springer 2021, ISBN 978-3-030-54567-3 [contents] - 2020
- [j48]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Traffic Engineering With Three-Segments Routing. IEEE Trans. Netw. Serv. Manag. 17(3): 1896-1909 (2020) - [c109]Ana Marta Sequeira, Diana Lousa, Miguel Rocha:
ProPythia: A Python Automated Platform for the Classification of Proteins Using Machine Learning. PACBB 2020: 32-41 - [c108]Diogo Lima, Fernando Cruz, Miguel Rocha, Oscar Días:
Reconciliation of Regulatory Data: The Regulatory Networks of Escherichia coli and Bacillus subtilis. PACBB 2020: 155-165 - [e12]Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón:
Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, PABCC 2019, Avila, Spain, 26-28 June 2019. Advances in Intelligent Systems and Computing 1005, Springer 2020, ISBN 978-3-030-23872-8 [contents] - [d1]Diogo Lima, Fernando Cruz, Miguel Rocha, Oscar Días:
Reconciliation of regulatory data: the regulatory networks of Escherichia coli and Bacillus subtilis. Zenodo, 2020
2010 – 2019
- 2019
- [j47]Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Días:
Predicting promoters in phage genomes using PhagePromoter. Bioinform. 35(24): 5301-5302 (2019) - [j46]Vítor Vieira, Miguel Rocha:
CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models. Bioinform. 35(24): 5361-5362 (2019) - [j45]Vítor Vieira, Paulo Maia, Miguel Rocha, Isabel Rocha:
Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinform. 20(1): 350:1-350:15 (2019) - [j44]Fernando Cruz, Davide Lagoa, João Mendes, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha, Oscar Días:
SamPler - a novel method for selecting parameters for gene functional annotation routines. BMC Bioinform. 20(1): 454:1-454:11 (2019) - [j43]Florentino Fdez-Riverola, Miguel Rocha:
Selected Extended Papers of the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J. Integr. Bioinform. 16(1) (2019) - [j42]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Filipe Liu, Miguel Rocha:
A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions. J. Integr. Bioinform. 16(1) (2019) - [c107]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Hybrid IP/SDN Routing for Inter-Data Center Communications. CloudNet 2019: 1-3 - [c106]João Reis, Miguel Rocha, Truong Khoa Phan, David Griffin, Franck Le, Miguel Rio:
Deep Neural Networks for Network Routing. IJCNN 2019: 1-8 - [c105]Miguel Rocha, Truong Khoa Phan, João Reis, David Griffin, Miguel Rio:
Triptych: Multi-objective Optimisation of Service Deployment Costs, Application Delay and Bandwidth Usage. Networking 2019: 1-9 - [c104]Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Días:
Predicting Promoters in Phage Genomes Using Machine Learning Models. PACBB 2019: 105-112 - [c103]Jorge Ferreira, Vítor Vieira, Jorge Gomes, Sara Correia, Miguel Rocha:
Troppo - A Python Framework for the Reconstruction of Context-Specific Metabolic Models. PACBB 2019: 146-153 - [c102]João Correia, Tiago Resende, Delora Baptista, Miguel Rocha:
Artificial Intelligence in Biological Activity Prediction. PACBB 2019: 164-172 - [c101]Fernando Cruz, Diogo Lima, José P. Faria, Miguel Rocha, Oscar Días:
Towards the Reconstruction of Integrated Genome-Scale Models of Metabolism and Gene Expression. PACBB 2019: 173-181 - [e11]Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Pascual González:
Practical Applications of Computational Biology and Bioinformatics, 12th International Conference, PACBB 2018, Toledo, Spain, 20-22 May, 2018. Advances in Intelligent Systems and Computing 803, Springer 2019, ISBN 978-3-319-98701-9 [contents] - 2018
- [j41]Tiago Alves, Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of an information retrieval tool for biomedical patents. Comput. Methods Programs Biomed. 159: 125-134 (2018) - [j40]Truong Khoa Phan, Miguel Rocha, David Griffin, Miguel Rio:
Utilitarian Placement of Composite Services. IEEE Trans. Netw. Serv. Manag. 15(2): 638-649 (2018) - [c100]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Segment Routing Single Link Failure Congestion Optimization. ICETE (1) 2018: 242-249 - [c99]Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Automating the Extraction of Essential Genes from Literature. ICDM 2018: 75-87 - [c98]Cláudia M. Bauer, Paulo Vilaça, Fernanda Ramlov, Eva Regina de Oliveira, Débora Cabral Nazário, Caroline Schmitz, Rafaela Gordo Corrêa, Miguel Rocha, Marcelo Maraschin:
In Silico Predictions for Fucoxanthin Production by the Diatom Phaeodactylum Tricornutum. PACBB 2018: 139-148 - [c97]Sara Cardoso, Delora Baptista, Rebeca Santos, Miguel Rocha:
A Review on Metabolomics Data Analysis for Cancer Applications. PACBB 2018: 157-165 - [c96]João Carlos Sequeira, Miguel Rocha, Maria Madalena Alves, Andreia Ferreira Salvador:
MOSCA: An Automated Pipeline for Integrated Metagenomics and Metatranscriptomics Data Analysis. PACBB 2018: 183-191 - [c95]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Miguel Rocha:
Metabolite Integration Pipeline for the Improvement of Human Metabolic Models. PACBB 2018: 192-199 - [c94]Débora Cabral Nazário, Sara Cardoso, Silvana Rocco, Maurício Sforça, Simone Fanan Hengeltraub, Cláudia M. Bauer, Miguel Rocha, Marcelo Maraschin:
17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools. PACBB 2018: 216-223 - 2017
- [j39]Telma Afonso, Rodolfo Moresco, Virgílio G. Uarrota, Bruno Bachiega Navarro, Eduardo da C. Nunes, Marcelo Maraschin, Miguel Rocha:
UV-Vis and CIELAB Based Chemometric Characterization of Manihot esculenta Carotenoid Contents. J. Integr. Bioinform. 14(4) (2017) - [j38]Sara Cardoso, Marcelo Maraschin, Luiz Augusto Martins Peruch, Miguel Rocha, Aline Pereira:
A Chemometrics Approach for Nuclear Magnetic Resonance Data to Characterize the Partial Metabolome Banana Peels from Southern Brazil. J. Integr. Bioinform. 14(4) (2017) - [j37]Florentino Fdez-Riverola, Miguel Rocha:
Selected Extended Papers of the 11th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J. Integr. Bioinform. 14(4) (2017) - [j36]David Henriques, Alejandro Fernández Villaverde, Miguel Rocha, Julio Saez-Rodriguez, Julio R. Banga:
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. PLoS Comput. Biol. 13(2) (2017) - [j35]Oscar Días, Daniel Gomes, Paulo Vilaça, João G. R. Cardoso, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha:
Genome-Wide Semi-Automated Annotation of Transporter Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 443-456 (2017) - [c93]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Optimizing Segment Routing using Evolutionary Computation. FNC/MobiSPC 2017: 312-319 - [c92]Vitor Pereira, Pedro Sousa, Miguel Rocha:
Evolutionary computation at work for the optimization of link state routing protocols. GECCO (Companion) 2017: 299-300 - [c91]Paulo Maia, Isabel Rocha, Miguel Rocha:
Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction. GECCO (Companion) 2017: 1661-1668 - [c90]André M. Santiago, Miguel Rocha, António Dourado, Joel P. Arrais:
Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies. IWBBIO (2) 2017: 50-61 - [c89]Tiago Alves, Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of Text Mining Tools for Information Retrieval from Patents. PACBB 2017: 66-73 - [c88]Nuno Osório, Paulo Vilaça, Miguel Rocha:
A Critical Evaluation of Automatic Atom Mapping Algorithms and Tools. PACBB 2017: 257-264 - [c87]Rodolfo Moresco, Telma Afonso, Virgílio G. Uarrota, Bruno Bachiega Navarro, Eduardo da C. Nunes, Miguel Rocha, Marcelo Maraschin:
Classification Tools for Carotenoid Content Estimation in Manihot esculenta via Metabolomics and Machine Learning. PACBB 2017: 280-288 - [c86]Susane Lopes, Rodolfo Moresco, Luiz Augusto Martins Peruch, Miguel Rocha, Marcelo Maraschin:
UV-Vis Spectrophotometry and Chemometrics as Tools for Recognition of the Biochemical Profiles of Organic Banana Peels (Musa sp.) According to the Seasonality in Southern Brazil. PACBB 2017: 289-296 - [c85]Eva Regina Oliveira, Ester Wickert, Fernanda Ramlov, Rodolfo Moresco, Larissa Simão, Bruno Bachiega Navarro, Cláudia M. Bauer, Débora Cabral Nazário, Miguel Rocha, Marcelo Maraschin:
Influence of Solar Radiation on the Production of Secondary Metabolites in Three Rice (Oryza sativa) Cultivars. PACBB 2017: 297-304 - [c84]Sara Cardoso, Marcelo Maraschin, Luiz Augusto Martins Peruch, Miguel Rocha, Aline Pereira:
Characterization of the Chemical Composition of Banana Peels from Southern Brazil Across the Seasons Using Nuclear Magnetic Resonance and Chemometrics. PACBB 2017: 321-328 - [e10]Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel P. Rocha, Juan F. De Paz, Tiago Pinto:
11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017. Advances in Intelligent Systems and Computing 616, Springer 2017, ISBN 978-3-319-60815-0 [contents] - 2016
- [j34]Christopher Costa, Marcelo Maraschin, Miguel Rocha:
An R package for the integrated analysis of metabolomics and spectral data. Comput. Methods Programs Biomed. 129: 117-124 (2016) - [c83]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Optimizing Load Balancing Routing Mechanisms with Evolutionary Computation. Intelligent Environments (Workshops) 2016: 298-307 - [c82]Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of a Machine Learning Framework for Biomedical Text Mining. PACBB 2016: 41-49 - [c81]Vítor Vieira, Paulo Maia, Isabel Rocha, Miguel Rocha:
Development of an Integrated Framework for Minimal Cut Set Enumeration in Constraint-Based Models. PACBB 2016: 193-201 - [c80]Jorge Ferreira, Sara Correia, Miguel Rocha:
Reconstruction of Metabolic Models for Liver Cancer Cells. PACBB 2016: 213-221 - [e9]Mohd Saberi Mohamad, Miguel P. Rocha, Florentino Fdez-Riverola, Francisco José Domínguez Mayo, Juan F. De Paz:
10th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2016, Sevilla, Spain, 1-3 June 2016. Advances in Intelligent Systems and Computing 477, Springer 2016, ISBN 978-3-319-40125-6 [contents] - 2015
- [j33]David Henriques, Miguel Rocha, Julio Saez-Rodriguez, Julio R. Banga:
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach. Bioinform. 31(18): 2999-3007 (2015) - [j32]Filipe Liu, Paulo Vilaça, Isabel Rocha, Miguel Rocha:
Development and application of efficient pathway enumeration algorithms for metabolic engineering applications. Comput. Methods Programs Biomed. 118(2): 134-146 (2015) - [j31]Ana Alão Freitas, Hugo Costa, Miguel Rocha, Isabel Rocha:
Extracting kinetic information from literature with KineticRE. J. Integr. Bioinform. 12(4) (2015) - [j30]Rodolfo Moresco, Virgílio Gavicho Uarrota, Aline Pereira, Maíra Maciel Tomazzoli, Eduardo da C. Nunes, Luiz Augusto Martins Peruch, Jussara Gazzola, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz). J. Integr. Bioinform. 12(4) (2015) - [j29]Maíra Maciel Tomazzoli, Remi Dal Pai Neto, Rodolfo Moresco, Larissa Westphal, Amélia Regina Somensi-Zeggio, Leandro Specht, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data. J. Integr. Bioinform. 12(4) (2015) - [j28]Eduardo Valente, Miguel Rocha:
Integrating data from heterogeneous DNA microarray platforms. J. Integr. Bioinform. 12(4) (2015) - [c79]Rafael T. Pereira, Hugo Costa, Sónia Carneiro, Miguel Rocha, Rui Mendes:
Reconstructing transcriptional Regulatory Networks using data integration and Text Mining. BIBM 2015: 1552-1558 - [c78]Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. EMO (2) 2015: 573-587 - [c77]Sara Correia, Miguel Rocha:
A Critical Evaluation of Methods for the Reconstruction of Tissue-Specific Models. EPIA 2015: 340-352 - [c76]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Automated Network Resilience Optimization Using Computational Intelligence Methods. IDC 2015: 485-495 - [c75]Rodolfo Moresco, Virgílio G. Uarrota, Aline Pereira, Maíra M. Tomazzoli, Eduardo da C. Nunes, Luiz Augusto Martins Peruch, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
Carotenoid Analysis of Cassava Genotypes Roots (Manihot Esculenta Crantz) Cultivated in Southern Brazil Using Chemometric Tools. PACBB 2015: 11-18 - [c74]Maíra M. Tomazzoli, Remi Dal Pai Neto, Rodolfo Moresco, Larissa Westphal, Amélia Regina Somensi-Zeggio, Leandro Specht, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
UV-Visible Scanning Spectrophotometry and Chemometric Analysis as Tools to Build Descriptive and Classification Models for Propolis from Southern Brazil. PACBB 2015: 19-27 - [c73]Fernanda Kokowicz Pilatti, Christopher Costa, Miguel Rocha, Marcelo Maraschin, Ana Maria Viana:
UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles. PACBB 2015: 29-36 - [c72]Christopher Costa, Marcelo Maraschin, Miguel Rocha:
An Integrated Computational Platform for Metabolomics Data Analysis. PACBB 2015: 37-47 - [c71]Ana Alão Freitas, Hugo Costa, Miguel Rocha, Isabel Rocha:
A Text Mining Approach for the Extraction of Kinetic Information from Literature. PACBB 2015: 89-98 - [c70]Eduardo Valente, Miguel Rocha:
Microarray Gene Expression Data Integration: An Application to Brain Tumor Grade Determination. PACBB 2015: 127-135 - [c69]Eduardo Valente, Miguel Rocha:
Transcript-based reannotation for microarray probesets. SAC 2015: 3-9 - [e8]Ross A. Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan Francisco de Paz:
9th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2015, 3-5 June, 2015, Salamanca, Spain. Advances in Intelligent Systems and Computing 375, Springer 2015, ISBN 978-3-319-19775-3 [contents] - 2014
- [j27]José P. Faria, Ross A. Overbeek, Fangfang Xia, Miguel Rocha, Isabel Rocha, Christopher S. Henry:
Genome-scale bacterial transcriptional regulatory networks: reconstruction and integrated analysis with metabolic models. Briefings Bioinform. 15(4): 592-611 (2014) - [j26]Joao C. Guimaraes, Miguel Rocha, Adam P. Arkin, Guillaume Cambray:
D-Tailor: automated analysis and design of DNA sequences. Bioinform. 30(8): 1087-1094 (2014) - [j25]Alberto Noronha, Paulo Vilaça, Miguel Rocha:
An integrated network visualization framework towards metabolic engineering applications. BMC Bioinform. 15: 6594 (2014) - [j24]Rafael Carreira, Pedro Evangelista, Paulo Maia, Paulo Vilaça, Marcellinus Pont, Jean-François Tomb, Isabel Rocha, Miguel Rocha:
CBFA: phenotype prediction integrating metabolic models with constraints derived from experimental data. BMC Syst. Biol. 8: 123 (2014) - [j23]Miguel Rocha, Rui Mendes, Orlando Rocha, Isabel Rocha, Eugénio C. Ferreira:
Optimization of fed-batch fermentation processes with bio-inspired algorithms. Expert Syst. Appl. 41(5): 2186-2195 (2014) - [c68]Orlando Rocha, Paulo Vilaça, Miguel Rocha, Rui Mendes:
Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models. NaBIC 2014: 226-231 - [c67]Rodolfo Moresco, Virgílio G. Uarrota, Eduardo da C. Nunes, Bianca Coelho, Edna Regina Amante, Vanessa Maria Gervin, Carlos Eduardo M. Campos, Miguel P. Rocha, Marcelo Maraschin:
Discrimination of Brazilian Cassava Genotypes (Manihot esculenta Crantz) According to Their Physicochemical Traits and Functional Properties through Bioinformatics Tools. PACBB 2014: 57-63 - [c66]Pedro Barbosa, Oscar Días, Joel P. Arrais, Miguel Rocha:
Metagenomic Analysis of the Saliva Microbiome with Merlin. PACBB 2014: 191-199 - [c65]Filipe Liu, Paulo Vilaça, Isabel Rocha, Miguel Rocha:
Evaluating Pathway Enumeration Algorithms in Metabolic Engineering Case Studies. PACBB 2014: 215-223 - [e7]Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana:
8th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2014, 4-6 June, 2014, Salamanca, Spain. Advances in Intelligent Systems and Computing 294, Springer 2014, ISBN 978-3-319-07580-8 [contents] - 2013
- [j22]Jorge Henrique Martins de Pinho, João Luís Ferreira Sobral, Miguel Rocha:
Parallel evolutionary computation in bioinformatics applications. Comput. Methods Programs Biomed. 110(2): 183-191 (2013) - [j21]Pedro Sousa, Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio:
Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation. Int. J. Inf. Technol. Decis. Mak. 12(4): 863- (2013) - [j20]Tiago Resende, Daniela M. Correia, Miguel Rocha, Isabel Rocha:
Re-annotation of the genome sequence of Helicobacter pylori 26695. J. Integr. Bioinform. 10(3) (2013) - [c64]Vitor Pereira, Miguel Rocha, Paulo Cortez, Miguel Rio, Pedro Sousa:
A Framework for Robust Traffic Engineering Using Evolutionary Computation. AIMS 2013: 1-12 - [c63]Rafael Carreira, Miguel Rocha, Silas Granato Villas-Bôas, Isabel Rocha:
Algorithms to infer metabolic flux ratios from fluxomics data. BIBM 2013: 205-209 - [c62]Paulo Maia, Isabel Rocha, Miguel Rocha:
An integrated framework for strain optimization. IEEE Congress on Evolutionary Computation 2013: 198-205 - [c61]Pedro Evangelista, Miguel Rocha, Isabel Rocha:
Evolutionary computation for predicting optimal reaction knockouts and enzyme modulation strategies. IEEE Congress on Evolutionary Computation 2013: 1225-1232 - [c60]Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Robust Optimization of Intradomain Routing Using Evolutionary Algorithms. DCAI 2013: 201-208 - [c59]Miguel Rocha:
Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining. ICANNGA 2013: 336-345 - [c58]Alberto Noronha, Paulo Vilaça, Miguel Rocha:
Network Visualization Tools to Enhance Metabolic Engineering Platforms. PACBB 2013: 137-144 - [e6]Mohd Saberi Mohamad, Loris Nanni, Miguel P. Rocha, Florentino Fdez-Riverola:
7th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2013, 22-14 May, 2013, Salamanca, Spain. Advances in Intelligent Systems and Computing 222, Springer 2013, ISBN 978-3-319-00577-5 [contents] - 2012
- [j19]Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Sousa:
Multi-scale Internet traffic forecasting using neural networks and time series methods. Expert Syst. J. Knowl. Eng. 29(2): 143-155 (2012) - [j18]Paulo Maia, Paulo Vilaça, Isabel Rocha, Marcellinus Pont, Jean-François Tomb, Miguel Rocha:
An integrated computational environment for elementary modes analysis of biochemical networks. Int. J. Data Min. Bioinform. 6(4): 382-395 (2012) - [j17]Emanuel J. V. Gonçalves, Rui Pereira, Isabel Rocha, Miguel Rocha:
Optimization Approaches for the In Silico Discovery of Optimal Targets for Gene Over/Underexpression. J. Comput. Biol. 19(2): 102-114 (2012) - [j16]Sara Correia, Miguel Rocha:
In silico strain optimization by adding reactions to metabolic models. J. Integr. Bioinform. 9(3) (2012) - [c57]Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa:
Evolutionary Symbiotic Feature Selection for Email Spam Detection. ICINCO (1) 2012: 159-164 - [c56]Sara Correia, Miguel Rocha:
Computational Tools for Strain Optimization by Adding Reactions. PACBB 2012: 241-250 - [c55]Emanuel J. V. Gonçalves, Isabel Rocha, Miguel Rocha:
Computational Tools for Strain Optimization by Tuning the Optimal Level of Gene Expression. PACBB 2012: 251-258 - [c54]João G. R. Cardoso, Paulo Vilaça, Simão Soares, Miguel Rocha:
An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction. PRIB 2012: 118-128 - [c53]Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen, Maíra M. Tomazzoli, Ana C. M. Zeri, Rafael Carreira, Miguel Rocha:
A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data - A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis. PRIB 2012: 129-140 - [e5]Miguel P. Rocha, Nicholas M. Luscombe, Florentino Fdez-Riverola, Juan M. Corchado Rodríguez:
6th International Conference on Practical Applications of Computational Biology & Bioinformatics, Salamanca, Spain. Advances in Intelligent and Soft Computing 154, Springer 2012, ISBN 978-3-642-28838-8 [contents] - 2011
- [j15]Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
Quality of Service constrained routing optimization using Evolutionary Computation. Appl. Soft Comput. 11(1): 356-364 (2011) - [j14]Anália Lourenço, Sónia Carneiro, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha:
Challenges in integrating Escherichia coli molecular biology data. Briefings Bioinform. 12(2): 91-103 (2011) - [j13]Paulo Vilaça, Isabel Rocha, Miguel Rocha:
A computational tool for the simulation and optimization of microbial strains accounting integrated metabolic/regulatory information. Biosyst. 103(3): 435-441 (2011) - [j12]Rafael Carreira, Sónia Carneiro, Rui Pereira, Miguel Rocha, Isabel Rocha, Eugénio C. Ferreira, Anália Lourenço:
Semantic annotation of biological concepts interplaying microbial cellular responses. BMC Bioinform. 12: 460 (2011) - [j11]Clotilde Lopes, Paulo Cortez, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio:
Symbiotic filtering for spam email detection. Expert Syst. Appl. 38(8): 9365-9372 (2011) - [j10]Anália Lourenço, Sónia Carneiro, José P. Pinto, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha:
A Study of the Short and Long-term Regulation of E. coli Metabolic Pathways. J. Integr. Bioinform. 8(3) (2011) - [c52]Miguel Rocha, Tiago Sá, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
Multiobjective Evolutionary Algorithms for intradomain routing optimization. IEEE Congress on Evolutionary Computation 2011: 2272-2279 - [c51]Pedro Evangelista, Jorge Henrique Martins de Pinho, Emanuel J. V. Gonçalves, Paulo Maia, João Luís Ferreira Sobral, Miguel Francisco de Almeida Pereira da Rocha:
A Software Platform for Evolutionary Computation with Pluggable Parallelism and Quality Assurance. EANN/AIAI (2) 2011: 45-50 - [c50]Anália Lourenço, Sónia Carneiro, José P. Pinto, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha:
Interpreting the Regulatory Interplay in E. coli Metabolic Pathways. PACBB 2011: 303-312 - [c49]Paulo Vilaça, Paulo Maia, Miguel Rocha:
A Study on the Robustness of Strain Optimization Algorithms. PACBB 2011: 329-336 - [c48]José Pedro Pinto, Isabel Rocha, Miguel Rocha:
Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results. PRIB 2011: 109-120 - [c47]Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Traffic Engineering Approaches Using Multicriteria Optimization Techniques. WWIC 2011: 104-115 - [e4]Miguel P. Rocha, Juan M. Corchado Rodríguez, Florentino Fdez-Riverola, Alfonso Valencia:
5th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2011, April 6-8, 2011, Salamanca, Spain. Advances in Intelligent and Soft Computing 93, Springer 2011, ISBN 978-3-642-19913-4 [contents] - 2010
- [j9]Isabel Rocha, Paulo Maia, Pedro Evangelista, Paulo Vilaça, Simão Soares, José P. Pinto, Jens Nielsen, Kiran Raosaheb Patil, Eugénio C. Ferreira, Miguel Rocha:
OptFlux: an open-source software platform for in silico metabolic engineering. BMC Syst. Biol. 4: 45 (2010) - [j8]Daniel Glez-Peña, Miguel Reboiro-Jato, Paulo Maia, Miguel Rocha, Fernando Díaz, Florentino Fdez-Riverola:
AIBench: A rapid application development framework for translational research in biomedicine. Comput. Methods Programs Biomed. 98(2): 191-203 (2010) - [j7]Anália Lourenço, Rafael Carreira, Daniel Glez-Peña, José Ramón Méndez, Sónia Carneiro, Luis Mateus Rocha, Fernando Díaz, Eugénio C. Ferreira, Isabel Rocha, Florentino Fdez-Riverola, Miguel Rocha:
BioDR: Semantic indexing networks for biomedical document retrieval. Expert Syst. Appl. 37(4): 3444-3453 (2010) - [c46]Daniel Machado, Rafael S. Costa, Miguel Rocha, Isabel Rocha, Bruce Tidor, Eugénio C. Ferreira:
Model Transformation of Metabolic Networks using a Petri Net Based Framework. ACSD/Petri Nets Workshops 2010: 103-117 - [c45]José P. Pinto, Isabel Rocha, Miguel Rocha:
A software tool for network topology analysis under a metabolic engineering perspective. BCB 2010: 569-578 - [c44]Paulo Vilaça, Paulo Maia, Isabel Rocha, Miguel Rocha:
Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models. EvoBIO 2010: 205-216 - [c43]Paulo Cortez, André Correia, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio:
Spam Email Filtering Using Network-Level Properties. ICDM 2010: 476-489 - [c42]José P. Faria, Miguel Rocha, Rick L. Stevens, Christopher S. Henry:
Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic Models. IWPACBB 2010: 209-215 - [c41]Paulo Maia, Marcellinus Pont, Jean-François Tomb, Isabel Rocha, Miguel Rocha:
Enhancing Elementary Flux Modes Analysis Using Filtering Techniques in an Integrated Environment. IWPACBB 2010: 217-224 - [c40]Jorge Henrique Martins de Pinho, Miguel Francisco de Almeida Pereira da Rocha, João Luís Ferreira Sobral:
Pluggable Parallelization of Evolutionary Algorithms Applied to the Optimization of Biological Processes. PDP 2010: 395-402 - [e3]Miguel P. Rocha, Florentino Fernández Riverola, Hagit Shatkay, Juan M. Corchado:
Advances in Bioinformatics - 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010), Guimarães, Portugal, 16-18 June 2010. Advances in Intelligent and Soft Computing 74, Springer 2010, ISBN 978-3-642-13213-1 [contents]
2000 – 2009
- 2009
- [j6]Anália Lourenço, Rafael Carreira, Sónia Carneiro, Paulo Maia, Daniel Glez-Peña, Florentino Fdez-Riverola, Eugénio C. Ferreira, Isabel Rocha, Miguel Rocha:
@Note: A workbench for Biomedical Text Mining. J. Biomed. Informatics 42(4): 710-720 (2009) - [c39]Pedro Evangelista, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective. EvoBIO 2009: 140-151 - [c38]Pedro Evangelista, Paulo Maia, Miguel Rocha:
Implementing Metaheuristic Optimization Algorithms with JECoLi. ISDA 2009: 505-510 - [c37]Anália Lourenço, Sónia Carneiro, Eugénio C. Ferreira, Rafael Carreira, Luis M. Rocha, Daniel Glez-Peña, José Ramón Méndez, Florentino Fdez-Riverola, Fernando Díaz, Isabel Rocha, Miguel Rocha:
Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing. IWANN (2) 2009: 954-963 - [c36]Daniel Machado, Rafael S. Costa, Miguel Rocha, Isabel Rocha, Bruce Tidor, Eugénio C. Ferreira:
A Critical Review on Modelling Formalisms and Simulation Tools in Computational Biosystems. IWANN (2) 2009: 1063-1070 - [c35]Pedro Evangelista, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
A Software Tool for the Simulation and Optimization of Dynamic Metabolic Models. IWANN (2) 2009: 1071-1078 - [c34]Paulo Cortez, Clotilde Lopes, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio:
Symbiotic Data Mining for Personalized Spam Filtering. Web Intelligence 2009: 149-156 - [e2]Sigeru Omatu, Miguel Rocha, José Bravo, Florentino Fernández Riverola, Emilio Corchado, Andrés Bustillo, Juan M. Corchado:
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II. Lecture Notes in Computer Science 5518, Springer 2009, ISBN 978-3-642-02480-1 [contents] - [e1]Juan M. Corchado, Juan Francisco de Paz, Miguel Rocha, Florentino Fernández Riverola:
2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, IWPACBB 2008, Salamanca, Spain, 22th-24th October 2008. Advances in Soft Computing 49, Springer 2009, ISBN 978-3-540-85860-7 [contents] - 2008
- [j5]Miguel Rocha, Paulo Maia, Rui Mendes, José P. Pinto, Eugénio C. Ferreira, Jens Nielsen, Kiran Raosaheb Patil, Isabel Rocha:
Natural computation meta-heuristics for the in silico optimization of microbial strains. BMC Bioinform. 9 (2008) - [c33]Anália Lourenço, Rafael Carreira, Sónia Carneiro, Paulo Maia, Daniel Glez-Peña, Florentino Fdez-Riverola, Eugénio C. Ferreira, Isabel Rocha, Miguel Rocha:
A framework for the development of Biomedical Text Mining software tools. BIBE 2008: 1-6 - [c32]Paulo Maia, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
Evaluating evolutionary multiobjective algorithms for the in silico optimization of mutant strains. BIBE 2008: 1-6 - [c31]Rui Mendes, Anália Lourenço, Sónia Carneiro, Miguel Rocha, Isabel Rocha, Eugénio C. Ferreira:
A framework for the integrated analysis of metabolic and regulatory networks. BIBE 2008: 1-6 - [c30]Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering. ICINCO-ICSO 2008: 238-243 - [c29]José Ramón Méndez, I. Cid, Daniel Glez-Peña, Miguel Rocha, Florentino Fdez-Riverola:
A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters. ICDM 2008: 213-227 - [c28]Eduardo Valente, Isabel Rocha, Miguel Rocha:
Modelling Fed-Batch Fermentation Processes: An Approach Based on Artificial Neural Networks. IWPACBB 2008: 30-39 - [c27]José P. Pinto, Oscar Días, Anália Lourenço, Sónia Carneiro, Eugénio C. Ferreira, Isabel Rocha, Miguel Rocha:
Data Integration Issues in the Reconstruction of the Genome-Scale Metabolic Model of Zymomonas Mobillis. IWPACBB 2008: 92-101 - [c26]Pedro Nuno Miranda de Sousa, Miguel Rocha, Paulo Cortez, Miguel Rio:
Multiconstrained Optimization of Networks with Multicast and Unicast Traffic. MMNS 2008: 139-150 - [p1]Daniel Machado, Miguel Rocha:
getALife - An Artificial Life Environment for the Evaluation of Agent-Based Systems and Evolutionary Algorithms for Reinforcement Learning. New Challenges in Applied Intelligence Technologies 2008: 35-44 - 2007
- [j4]Miguel Rocha, Paulo Cortez, José Neves:
Evolution of neural networks for classification and regression. Neurocomputing 70(16-18): 2809-2816 (2007) - [j3]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Automatic Provisioning of QoS Aware OSPF Configurations. J. Networks 2(2): 1-10 (2007) - [c25]Miguel Rocha, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira:
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms. CIBCB 2007: 331-337 - [c24]Miguel Rocha, Rui Mendes, Paulo Maia, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira:
Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains. EPIA Workshops 2007: 473-484 - [c23]Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
Evolutionary Computation for Quality of Service Internet Routing Optimization. EvoWorkshops 2007: 71-80 - [c22]Miguel Rocha, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira:
Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes. EvoBIO 2007: 236-246 - [c21]Miguel Rocha, Rui Mendes, Paulo Maia, Daniel Glez-Peña, Florentino Fdez-Riverola:
A platform for the selection of genes in DNA microarraydata using evolutionary algorithms. GECCO 2007: 415-423 - [c20]Paulo Cortez, Miguel Rio, Pedro Nuno Miranda de Sousa, Miguel Rocha:
Topology Aware Internet Traffic Forecasting Using Neural Networks. ICANN (2) 2007: 445-454 - [c19]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation. WWIC 2007: 141-152 - 2006
- [c18]Rui Mendes, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
A Comparison of Algorithms for the Optimization of Fermentation Processes. IEEE Congress on Evolutionary Computation 2006: 2018-2025 - [c17]Miguel Rocha, Pedro Sousa, Miguel Rio, Paulo Cortez:
QoS Constrained Internet Routing with Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 2720-2727 - [c16]Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa:
Internet Traffic Forecasting using Neural Networks. IJCNN 2006: 2635-2642 - [c15]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Efficient OSPF Weight Allocation for Intra-domain QoS Optimization. IPOM 2006: 37-48 - 2005
- [c14]Miguel Rocha, Isabel Rocha, Eugénio C. Ferreira:
A new representation in evolutionary algorithms for the optimization of bioprocesses. Congress on Evolutionary Computation 2005: 484-490 - [c13]Miguel Rocha, Paulo Cortez, José Neves:
Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. IWANN 2005: 59-66 - 2004
- [j2]Paulo Cortez, Miguel Rocha, José Neves:
Evolving Time Series Forecasting ARMA Models. J. Heuristics 10(4): 415-429 (2004) - [c12]Miguel Rocha, José Neves, Isabel Rocha, Eugénio C. Ferreira:
Evolutionary Algorithms for Optimal Control in Fed-Batch Fermentation Processes. EvoWorkshops 2004: 84-93 - 2003
- [c11]Miguel Rocha, Paulo Cortez, José Neves:
Evolutionary Neural Network Learning. EPIA 2003: 24-28 - [c10]Miguel Rocha, Paulo Cortez, José Neves:
Adaptive Learning in Changing Environments. ESANN 2003: 487-492 - 2002
- [j1]Paulo Cortez, Miguel Rocha, José Neves:
A Lamarckian Approach for Neural Network Training. Neural Process. Lett. 15(2): 105-116 (2002) - 2001
- [c9]Miguel Rocha, Rui Mendes, Paulo Cortez, José Neves:
Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. CEC 2001: 671-678 - [c8]Paulo Cortez, Miguel Rocha, José Neves:
Lamarckian training of feedforward neural networks. ESANN 2001: 153-158 - [c7]Miguel Rocha, Filipe Pereira, Sónia Afonso, José Neves:
A Genetic and Evolutionary Programming Environment with Spatially Structured Populations and Built-In Parallelism. IEA/AIE 2001: 383-392 - [c6]Paulo Cortez, Miguel Rocha, José Neves:
Genetic and Evolutionary Algorithms for Time Series Forecasting. IEA/AIE 2001: 393-402 - 2000
- [c5]Miguel Rocha, Carla Vilela, José Neves:
A Study of Order Based Genetic and Evolutionary Algorithms in Combinatorial Optimization Problems. IEA/AIE 2000: 601-610 - [c4]Miguel Rocha, Carla Vilela, Paulo Cortez, José Neves:
Viewing Scheduling Problems through Genetic and Evolutionary Algorithms. IPDPS Workshops 2000: 612-619
1990 – 1999
- 1999
- [c3]Miguel Rocha, José Neves:
Preventing Premature Convergence to Local Optima in Genetic Algorithms via Random Offspring Generation. IEA/AIE 1999: 127-136 - [c2]José Neves, Paulo Cortez, Miguel Rocha, António Abelha, José Machado, Victor Alves, Sousa Basto, Henrique Botelho, João Neves:
A Unified Framework for Data Modeling on Medical Information Systems. MIE 1999: 68-71 - 1995
- [c1]Paulo Cortez, Miguel Rocha, José Machado, José Neves:
A neural network based time series forecasting system. ICNN 1995: 2689-2693
Coauthor Index
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