Yassine Baghoussi


AuthID: R-00H-756

Publicações Confirmadas: 10



1
TÍTULO: Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN
AUTORES: Yohannes Biadgligne ; Yassine Baghoussi ; Kai Li; Alípio Jorge ;
PUBLICAÇÃO: 2025, FONTE: 18th International Work-Conference on Artificial Neural Networks, IWANN 2025 in Advances in Computational Intelligence - 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16-18, 2025, Proceedings, Part I, VOLUME: 16008
INDEXADO EM: Scopus DBLP CrossRef
NO MEU: ORCID
2
TÍTULO: Corrector LSTM: built-in training data correction for improved time-series forecasting  Full Text
AUTORES: Yassine Baghoussi ; Carlos Soares ; João Mendes Moreira ;
PUBLICAÇÃO: 2024, FONTE: Neural Comput. Appl., VOLUME: 36, NÚMERO: 26
INDEXADO EM: Scopus DBLP CrossRef: 5 Unpaywall
NO MEU: ORCID
3
TÍTULO: Enhancing Forecasting using Read & Write Recurrent Neural Networks
AUTORES: Yassine Baghoussi ;
PUBLICAÇÃO: 2024
INDEXADO EM: Handle
4
TÍTULO: Kernel Corrector LSTM
AUTORES: Tuna, Rodrigo; Baghoussi, Yassine ; Soares, Carlos ; Mendes Moreira, Joao ;
PUBLICAÇÃO: 2024, FONTE: 22nd International Symposium on Intelligent Data Analysis (IDA) in ADVANCES IN INTELLIGENT DATA ANALYSIS XXII, PT II, IDA 2024, VOLUME: 14642
INDEXADO EM: Scopus WOS DBLP CrossRef
NO MEU: ORCID
5
TÍTULO: Interpreting What is Important: An Explainability Approach and Study on Feature Selection
AUTORES: Rodrigues, Eduardo M.; Baghoussi, Yassine ; Mendes Moreira, Joao ;
PUBLICAÇÃO: 2023, FONTE: 22nd EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I, VOLUME: 14115
INDEXADO EM: Scopus WOS CrossRef: 2
NO MEU: ORCID
6
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
7
TÍTULO: Underground Train Tracking using Mobile Phone Accelerometer Data
AUTORES: Baghoussi, Y ; Mendes Moreira, J ; Moniz, N ; Soares, C ;
PUBLICAÇÃO: 2020, FONTE: 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) in 2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
INDEXADO EM: Scopus WOS DBLP CrossRef
NO MEU: ORCID
8
TÍTULO: Instance-Based Stacked Generalization for Transfer Learning
AUTORES: Yassine Baghoussi ; João Mendes Moreira ;
PUBLICAÇÃO: 2018, FONTE: 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
INDEXADO EM: Scopus DBLP CrossRef: 1
NO MEU: ORCID
9
TÍTULO: Updating a Robust Optimization Model for Improving Bus Schedules
AUTORES: Yassine Baghoussi ; Joao Mendes Moreira ; Michael T M Emmerich;
PUBLICAÇÃO: 2018, FONTE: 10th International Conference on Communication Systems and Networks (COMSNETS) in 2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), VOLUME: 2018-January
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
NO MEU: ORCID
10
TÍTULO: An Agent-based Model of the Earth System & Climate Change
AUTORES: Baghoussi, Y ; Campos, PJRM ; Rossetti, RJF ;
PUBLICAÇÃO: 2016, FONTE: 2nd IEEE International Smart Cities Conference (ISC2) in IEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016)
INDEXADO EM: Scopus WOS DBLP CrossRef
NO MEU: ORCID

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