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TÍTULO: Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction PDF
AUTORES: Christopher Harrison; Christine R Kirkpatrick; Inês Dutra ;
PUBLICAÇÃO: 2018, FONTE: CoRR, VOLUME: abs/1812.09537
INDEXADO EM: DBLP arXiv
NO MEU: ORCID | DBLP
32
TÍTULO: Driven tabu search: a quantum inherent optimisation PDF
AUTORES: Carla Silva ; Inês Dutra ; Marcus S Dahlem;
PUBLICAÇÃO: 2018, FONTE: CoRR, VOLUME: abs/1808.08429
INDEXADO EM: DBLP arXiv
NO MEU: ORCID | DBLP
33
TÍTULO: Improving Candidate Quality of Probabilistic Logic Models  Full Text
AUTORES: Joana Côrte Real ; Anton Dries; Inês Dutra ; Ricardo Rocha ;
PUBLICAÇÃO: 2018, FONTE: Technical Communications of the 34th International Conference on Logic Programming, ICLP 2018 in Technical Communications of the 34th International Conference on Logic Programming, ICLP 2018, July 14-17, 2018, Oxford, United Kingdom, VOLUME: 64
INDEXADO EM: Scopus DBLP
34
TÍTULO: Evolvix BEST Names for semantic reproducibility across code2brain interfaces. BEST Names and semantic reproducibility  Full Text
AUTORES: Laurence Loewe; Katherine S Scheuer; Seth A Keel; Vaibhav Vyas; Ben Liblit; Bret Hanlon; Michael C Ferris; John Yin; Ines Dutra ; Anthony Pietsch; Christine G Javid; Cecilia L Moog; Jocelyn Meyer; Jerdon Dresel; Brian McLoone; Sonya Loberger; Arezoo Movaghar; Morgaine Gilchrist Scott; Yazeed Sabri; Dave Sescleifer; Ivan Pereda Zorrilla; Andrew Zietlow; Rodrigo Smith; Samantha Pietenpol; Jacob Goldfinger; Sarah L Atzen; Erika Freiberg; Noah P Waters; Claire Nusbaum; Erik Nolan; Alyssa Hotz; Richard M Kliman; Ayalew Mentewab; Nathan Fregien; Martha Loewe; ...Mais
PUBLICAÇÃO: 2017, FONTE: ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, VOLUME: 1387, NÚMERO: 1
INDEXADO EM: Scopus WOS CrossRef: 1
36
TÍTULO: Managing Diabetes: Counselling Supported by User Data in a Mobile Platform PDF
AUTORES: Diogo Machado; Inês Dutra ; Pedro Brandão ; Vítor Santos Costa ;
PUBLICAÇÃO: 2017, FONTE: 2017 Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017, RuleML+RR 2017 in Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017 hosted by International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017), London, UK, July 11-15, 2017., VOLUME: 1875
INDEXADO EM: Scopus DBLP
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TÍTULO: Managing Diabetes: Pattern Discovery and Counselling supported by user data in a mobile platform
AUTORES: Diogo Machado; Tiago Paiva; Ines Dutra ; Vitor Santos Costa ; Pedro Brandao ;
PUBLICAÇÃO: 2017, FONTE: IEEE Symposium on Computers and Communications (ISCC) in 2017 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC)
INDEXADO EM: Scopus WOS DBLP CrossRef: 5
38
TÍTULO: On Applying Probabilistic Logic Programming to Breast Cancer Data
AUTORES: Joana Côrte Real ; Inês Dutra ; Ricardo Rocha ;
PUBLICAÇÃO: 2017, FONTE: 27th International Conference on Inductive Logic Programming, ILP 2017 in Inductive Logic Programming - 27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers, VOLUME: 10759
INDEXADO EM: Scopus DBLP CrossRef
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TÍTULO: Optimising the calculation of statistical functions
AUTORES: André Rodrigues; Carla Silva ; Paulo Vinicius Koerich Borges; Sergio Silva; Inês Dutra ;
PUBLICAÇÃO: 2017, FONTE: IJBDI, VOLUME: 4, NÚMERO: 2
INDEXADO EM: DBLP CrossRef
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TÍTULO: Preface
AUTORES: Barbosa, J; Camacho, R ; Dutra, I ; Marques, O;
PUBLICAÇÃO: 2017, FONTE: 12th International Conference on High Performance Computing for Computational Science, VECPAR 2016 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 10150 LNCS
INDEXADO EM: Scopus
NO MEU: ORCID
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