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TÍTULO: An analysis of Monte Carlo simulations for forecasting software projects
AUTORES: Pedro Miranda; João Pascoal Faria ; Filipe Figueiredo Correia ; Ahmed Fares ; Ricardo Graça; João Mendes Moreira ;
PUBLICAÇÃO: 2021, FONTE: 36th Annual ACM Symposium on Applied Computing, SAC 2021 in SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021
INDEXADO EM: Scopus DBLP CrossRef
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TÍTULO: An Analysis of the State of the Art of Machine Learning for Risk Assessment in Software Projects (S)
AUTORES: André Sousa; João Pascoal Faria ; João Mendes Moreira ;
PUBLICAÇÃO: 2021, FONTE: The 33rd International Conference on Software Engineering and Knowledge Engineering, SEKE 2021, KSIR Virtual Conference Center, USA, July 1 - July 10, 2021., VOLUME: 2021-July
INDEXADO EM: Scopus DBLP CrossRef
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TÍTULO: An ensemble of autonomous auto-encoders for human activity recognition  Full Text
AUTORES: Garcia, KD; de Sa, CR; Poel, M; Carvalho, T ; Mendes Moreira, J ; Cardoso, JMP ; de Carvalho, ACPLF; Kok, JN;
PUBLICAÇÃO: 2021, FONTE: NEUROCOMPUTING, VOLUME: 439
INDEXADO EM: Scopus WOS DBLP CrossRef: 44
34
TÍTULO: Applying Machine Learning to Risk Assessment in Software Projects
AUTORES: Sousa, Andre; Faria, Joao Pascoal ; Mendes Moreira, Joao ; Gomes, Duarte; Henriques, Pedro Castro; Graca, Ricardo;
PUBLICAÇÃO: 2021, FONTE: 21st Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, PT II, VOLUME: 1525
INDEXADO EM: Scopus WOS DBLP CrossRef: 2 Unpaywall
35
TÍTULO: Benchmark of Encoders of Nominal Features for Regression
AUTORES: Diogo Seca; João Mendes Moreira ;
PUBLICAÇÃO: 2021, FONTE: World Conference on Information Systems and Technologies, WorldCIST 2021 in Trends and Applications in Information Systems and Technologies - Volume 1, WorldCIST 2021, Terceira Island, Azores, Portugal, 30 March - 2 April, 2021., VOLUME: 1365
INDEXADO EM: Scopus DBLP CrossRef: 2
36
TÍTULO: Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction
AUTORES: Bhanu, M; Mendes Moreira, J ; Chandra, J;
PUBLICAÇÃO: 2021, FONTE: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOLUME: 22, NÚMERO: 6
INDEXADO EM: WOS DBLP CrossRef: 20
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TÍTULO: Inmplode: A framework to interpret multiple related rule-based models  Full Text
AUTORES: Strecht, P ; Mendes Moreira, J ; Soares, C ;
PUBLICAÇÃO: 2021, FONTE: EXPERT SYSTEMS, VOLUME: 38, NÚMERO: 6
INDEXADO EM: Scopus WOS DBLP CrossRef: 4
38
TÍTULO: Novelty Detection in Physical Activity
AUTORES: Leite, B; Abdalrahman, A; Castro, J; Frade, J; Moreira, J ; Soares, C ;
PUBLICAÇÃO: 2021, FONTE: 13th International Conference on Agents and Artificial Intelligence (ICAART) in ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2, VOLUME: 2
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
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TÍTULO: Pastprop-RNN: improved predictions of the future by correcting the past
AUTORES: André Baptista; Yassine Baghoussi; Carlos Soares ; João Mendes Moreira ; Miguel Arantes;
PUBLICAÇÃO: 2021, FONTE: CoRR, VOLUME: abs/2106.13881
INDEXADO EM: DBLP
NO MEU: ORCID | DBLP
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TÍTULO: Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning
AUTORES: Fares, Ahmed A. ; Vasconcelos, Fabio; Mendes Moreira, Joao ; Ferreira, Carlos ;
PUBLICAÇÃO: 2021, FONTE: 20th EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021), VOLUME: 12981
INDEXADO EM: Scopus WOS DBLP CrossRef
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