default search action
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
Volume 13, Number 3, September 2024
- Kriti Ohri, Mukesh Kumar, Deepak Sukheja:
Self-supervised approach for diabetic retinopathy severity detection using vision transformer. 165-183 - Kriti Ohri, Mukesh Kumar, Deepak Sukheja:
Correction: Self-supervised approach for diabetic retinopathy severity detection using vision transformer. 185-186 - D. Shiny Irene, M. Lakshmi, Lingala Ravish Kumar, Tedlapu Ravi Kishore:
ADC-RBK: a multimodal approach for early detection of chronic diseases and focusing on Alzheimer's. 187-200 - Jaydeep Kishore, Snehasis Mukherjee:
An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization. 201-215 - José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro:
Towards automatic phytolith classification using feature extraction and combination strategies. 217-244 - José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro:
Correction: Towards automatic phytolith classification using feature extraction and combination strategies. 245 - Vidyapati Jha, Priyanka Tripathi:
Relational regression: a cognitively-inspired method for prediction system in cognitive IoT. 247-262
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.