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TITLE: Corrector LSTM: built-in training data correction for improved time-series forecasting  Full Text
AUTHORS: Yassine Baghoussi; Carlos Soares ; João Mendes Moreira ;
PUBLISHED: 2024, SOURCE: Neural Comput. Appl., VOLUME: 36, ISSUE: 26
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TITLE: Interpreting What is Important: An Explainability Approach and Study on Feature Selection
AUTHORS: Rodrigues, Eduardo M.; Baghoussi, Yassine; Mendes Moreira, Joao ;
PUBLISHED: 2023, SOURCE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, VOLUME: 14115
INDEXED IN: Scopus WOS CrossRef
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TITLE: Pastprop-RNN: improved predictions of the future by correcting the past
AUTHORS: André Baptista; Yassine Baghoussi; Carlos Soares ; João Mendes Moreira ; Miguel Arantes;
PUBLISHED: 2021, SOURCE: CoRR, VOLUME: abs/2106.13881
INDEXED IN: DBLP
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TITLE: Underground Train Tracking using Mobile Phone Accelerometer Data
AUTHORS: Baghoussi, Y; Mendes Moreira, J ; Moniz, N ; Soares, C ;
PUBLISHED: 2020, SOURCE: 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) in 2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
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TITLE: Instance-Based Stacked Generalization for Transfer Learning
AUTHORS: Yassine Baghoussi; João Mendes Moreira ;
PUBLISHED: 2018, SOURCE: 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 in Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I, VOLUME: 11314
INDEXED IN: Scopus DBLP CrossRef: 1
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