1
TITLE: An Extension of the Eindhoven Classification Model to the Educational Sector
AUTHORS: Margarida Figueiredo; Lidia Vicente; Henrique Vicente ; Victor Alves; Jose Neves ;
PUBLISHED: 2013, SOURCE: International Conference on Advanced Information and Communication Technology for Education (ICAICTE) in PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED ICT AND EDUCATION, VOLUME: 33
INDEXED IN: WOS
3
TITLE: Prediction of bioactive compound activity against wood contaminant fungi using artificial neural networks  Full Text
AUTHORS: Henrique Vicente ; Jose C Roseiro; Jose M Arteiro; Jose Neves; Teresa T Caldeira ;
PUBLISHED: 2013, SOURCE: CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, VOLUME: 43, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef
5
TITLE: Prediction of the quality of public water supply using artificial neural networks  Full Text
AUTHORS: Henrique Vicente ; Susana Dias; Ana Fernandes; Antonio Abelha ; José Machado ; Jose Neves ;
PUBLISHED: 2012, SOURCE: JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, VOLUME: 61, ISSUE: 7
INDEXED IN: Scopus WOS CrossRef: 34
6
TITLE: Prediction of water quality parameters in a reservoir using artificial neural networks
AUTHORS: Vicente, H ; Couto, C; José Machado ; Abelha, A ; Neves, J ;
PUBLISHED: 2012, SOURCE: International Journal of Design and Nature and Ecodynamics, VOLUME: 7, ISSUE: 3
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
7
TITLE: Water quality modeling using artificial intelligence-based tools
AUTHORS: Couto, C; Vicente, H ; José Machado ; Abelha, A ; Neves, J ;
PUBLISHED: 2012, SOURCE: International Journal of Design and Nature and Ecodynamics, VOLUME: 7, ISSUE: 3
INDEXED IN: Scopus CrossRef: 7
IN MY: ORCID
9
TITLE: A DATA MINING APPROACH TO CHARACTERIZE AMANITA PONDEROSA MUSHROOMS USING INORGANIC PROFILE AND M13-PCR MOLECULAR DATA
AUTHORS: Rosario Martins, MR ; Catia Salvador; Henrique Vicente ; Jose Neves ; Jose M Arteiro; Teresa Caldeira, AT ;
PUBLISHED: 2010, SOURCE: 6th International Conference on Simulation and Modelling in the Food and Bio-Industry in 6TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELLING IN THE FOOD AND BIO-INDUSTRY (FOODSIM 2010)
INDEXED IN: Scopus WOS
10
TITLE: AROMA COMPOUNDS PREVISION USING ARTIFICIAL NEURAL NETWORKS: INFLUENCE OF NEWLY INDIGENOUS SACCHAROMYCES SPP. IN WHITE WINE PRODUCED WITH VITIS VINIFERA CV SIRIA
AUTHORS: Teresa Caldeira, AT ; Rosario Martins, MR ; Joao Cabrita, MJ; Cristina Ambrosio; Jose. M Arteiro; Jose Neves ; Henrique Vicente ;
PUBLISHED: 2010, SOURCE: 6th International Conference on Simulation and Modelling in the Food and Bio-Industry in 6TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELLING IN THE FOOD AND BIO-INDUSTRY (FOODSIM 2010)
INDEXED IN: Scopus WOS
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