Index · Publications
Preprints, papers, and citable work.
preprint 2026
Integrating Convolutional Variational Autoencoders and the Gaussian Mixture Model for efficient manifold learning and clustering of spatially preserved EEG topographic maps
Saheed Faremi, Luca Longo
Brain Informatics (under review)
conference 2026
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
Saheed Faremi, Andrea Visentin, Luca Longo
XAI 2026 (Late-breaking work + Doctoral Consortium track), Fortaleza, Brazil. arXiv preprint.
workshop 2025
Explainable Disentangled Representation Learning of Recurring Brain Activation Patterns via Variational Autoencoders
Saheed Faremi
XAI World Conference 2025, Doctoral Proposals track
conference 2024
Machine Learning Models for Identifying Factors Influencing and Predicting Malaria Among Children Under Five Years in Nigeria
Akinpelumi Saheed Faremi, Boluwaji Akinnuwesi, Elliot Mbunge, Petros M. Mashwama, Stephen Fashoto, Polite Zenzo Ncube, John Batani, Shamsudeen Ademola Sanni, Yinusa A. Faremi, Andile Metfula
IEEE ICTAS 2024