Publications

Enhancing Hybrid Model for Photovoltaic Power Prediction: A Case Study of Morocco
Samira Abousaid
Abdelaziz Berrado
Hanane Dagdougui
Loubna Benabbou
2025-04-07
Proceedings of the International Conference on Industrial Engineering and Operations Management (publié)
doi.org
Predicting greenhouse gas Emissions in Shipping: A Case Study Of Canada
Abdelhak EL AISSI
Loubna Benabbou
Abdelaziz Berrado
Stephane Carron
2025-04-07
Proceedings of the International Conference on Industrial Engineering and Operations Management (publié)
doi.org
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
2025-04-07
ArXiv (prépublication)
arxiv.org
arxiv.org
View-Dependent Deformation Fields for 2D Editing of 3D Models
Martin El Mqirmi
Noam Aigerman
2025-04-07
ArXiv (prépublication)
arxiv.org
arxiv.org
Graph Neural Networks Meet Probabilistic Graphical Models: A Survey
Chenqing Hua
Sitao Luan
Qian Zhang
Jie Fu
Guy Wolf
2025-04-06
IEEE International Conference on Acoustics, Speech, and Signal Processing (publié)
doi.org
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
Eleonora Mancini
Francesco Paissan
Paolo Torroni
Mirco Ravanelli
Cem Subakan
Speech impairments in Parkinson's disease (PD) provide significant early indicators for diagnosis. While models for speech-based PD detectio… (voir plus)n have shown strong performance, their interpretability remains underexplored. This study systematically evaluates several explainability methods to identify PD-specific speech features, aiming to support the development of accurate, interpretable models for clinical decision-making in PD diagnosis and monitoring. Our methodology involves (i) obtaining attributions and saliency maps using mainstream interpretability techniques, (ii) quantitatively evaluating the faithfulness of these maps and their combinations obtained via union and intersection through a range of established metrics, and (iii) assessing the information conveyed by the saliency maps for PD detection from an auxiliary classifier. Our results reveal that, while explanations are aligned with the classifier, they often fail to provide valuable information for domain experts.
2025-04-06
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) (publié)
doi.org
arxiv.org
Latent Representation Learning for Multimodal Brain Activity Translation
Arman Afrasiyabi
Dhananjay Bhaskar
Erica Lindsey Busch
Laurent Caplette
Rahul Singh
Guillaume Lajoie
Nicholas B Turk-Browne
Smita Krishnaswamy
Neuroscience employs diverse neuroimaging techniques, each offering distinct insights into brain activity, from electrophysiological recordi… (voir plus)ngs such as EEG, which have high temporal resolution, to hemodynamic modalities such as fMRI, which have increased spatial precision. However, integrating these heterogeneous data sources remains a challenge, which limits a comprehensive understanding of brain function. We present the Spatiotemporal Alignment of Multimodal Brain Activity (SAMBA) framework, which bridges the spatial and temporal resolution gaps across modalities by learning a unified latent space free of modality-specific biases. SAMBA introduces a novel attention-based wavelet decomposition for spectral filtering of electrophysiological recordings, graph attention networks to model functional connectivity between functional brain units, and recurrent layers to capture temporal autocorrelations in brain signal. We show that the training of SAMBA, aside from achieving translation, also learns a rich representation of brain information processing. We showcase this classify external stimuli driving brain activity from the representation learned in hidden layers of SAMBA, paving the way for broad downstream applications in neuroscience research and clinical contexts.
2025-04-06
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (publié)
doi.org
arxiv.org
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
Eleonora Mancini
Francesco Paissan
Mirco Ravanelli
Cem Subakan
2025-04-06
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (publié)
doi.org
arxiv.org
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
Marco Pedersoli
Alessandro Lameiras Koerich
Eric Grange
2025-04-05
ArXiv (prépublication)
arxiv.org
arxiv.org
Accelerated learning of a noninvasive human brain-computer interface via manifold geometry
Erica Lindsey Busch
E. Chandra Fincke
Guillaume Lajoie
Smita Krishnaswamy
Nicholas B Turk-Browne
2025-04-03
bioRxiv (prépublication)
doi.org
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing
Seif Mzoughi
Mohamed Elshafeia
Foutse Khomh
2025-04-03
ArXiv (prépublication)
arxiv.org
arxiv.org
Spinal Cord Tract Integrity in Degenerative Cervical Myelopathy.
Newton Cho
Abdul Al-Shawwa
W. Bradley Jacobs
Nathan Evaniew
Jacques Bouchard
Steven Casha
Stephan duPlessis
Peter Lewkonia
Fred Nicholls
Alex Soroceanu
Ganesh Swamy
Kenneth C. Thomas
Michael M.H. Yang
Julien Cohen-Adad
David W. Cadotte
2025-04-03
Neurosurgery (publié)
doi.org