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Progress in Artificial Intelligence, Volume 13
Volume 13, Number 1, March 2024
- Amirhossein Javanshir, Thanh Thi Nguyen, M. A. Parvez Mahmud, Abbas Z. Kouzani
:
A Deep Convolutional Spiking Neural Network for embedded applications. 1-15 - S. Sina Ziaee, Hossein Rahmani
, Mina Tabatabaei, Anna H. C. Vlot, Andreas Bender:
DCGG: drug combination prediction using GNN and GAE. 17-30 - Aso Bozorgpanah
, Vicenç Torra:
Explainable machine learning models with privacy. 31-50 - Siwar Gorrab
, Fahmi Ben Rejab, Kaouther Nouira:
Split incremental clustering algorithm of mixed data stream. 51-64 - José Pinto
, Vitor Esteves, Sérgio M. O. Tavares, Ricardo Teixeira Sousa:
Optimal gas subset selection for dissolved gas analysis in power transformers. 65-84
Volume 13, Number 2, June 2024
- Yang Wang
:
Selective ensemble of doubly weighted fuzzy extreme learning machine for tumor classification. 85-99 - Sadi Alawadi
, Addi Ait-Mlouk, Salman Toor, Andreas Hellander:
Toward efficient resource utilization at edge nodes in federated learning. 101-117 - Rajeev Kumar
, R. S. Anand:
Bearing fault diagnosis using multiple feature selection algorithms with SVM. 119-133 - Mohammed Qorich
, Rajae El Ouazzani
:
Advanced deep learning and large language models for suicide ideation detection on social media. 135-147 - Ricardo dos Santos
, José Aguilar:
A synthetic data generation system based on the variational-autoencoder technique and the linked data paradigm. 149-163
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