Yacouba Kaloga

17 papers Misc 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLAP-Based Automatic Word Naming Recognition in Post-Stroke Aphasia.
CoRR
Yacouba Kaloga, Marina Laganaro, Ina Kodrasi
2025 J jnl
A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport.
CoRR
Yacouba Kaloga, Shashi Kumar, Petr Motlícek, Ina Kodrasi
2025 Misc conf
Graph Neural Networks for Parkinson's Disease Detection.
ICASSP
Shakeel A. Sheikh, Yacouba Kaloga, Md. Sahidullah, Ina Kodrasi
2025 J jnl
Latent Space Factorization in LoRA.
CoRR
Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlícek, Ina Kodrasi
2025 Misc conf
Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection.
ICASSP
Yacouba Kaloga, Shakeel A. Sheikh, Ina Kodrasi
2025 J jnl
Towards interpretable emotion recognition: Identifying key features with machine learning.
CoRR
Yacouba Kaloga, Ina Kodrasi
2024 J jnl
Graph Neural Networks for Parkinsons Disease Detection.
CoRR
Shakeel A. Sheikh, Yacouba Kaloga, Md. Sahidullah, Ina Kodrasi
2024 J jnl
Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection.
CoRR
Yacouba Kaloga, Shakeel A. Sheikh, Ina Kodrasi
2022 — conf
A Simple Way to Learn Metrics Between Attributed Graphs.
LoG
Yacouba Kaloga, Pierre Borgnat, Amaury Habrard
2022 J jnl
A simple way to learn metrics between attributed graphs.
CoRR
Yacouba Kaloga, Pierre Borgnat, Amaury Habrard
2021 — —
Learning attributed graphs representations. (Apprentissage de représentations de graphes attribués).
Yacouba Kaloga
2021 Misc conf
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis.
ICASSP
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard
2021 J jnl
Variational graph autoencoders for multiview canonical correlation analysis.
Signal Process.
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard
2020 J jnl
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening.
Algorithms
Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
2020 J jnl
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening.
CoRR
Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
2020 J jnl
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis.
CoRR
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri, Patrice Abry, Amaury Habrard
2019 J jnl
Discrete Mumford-Shah on Graph for Mixing Matrix Estimation.
IEEE Signal Process. Lett.
Yacouba Kaloga, Marion Foare, Nelly Pustelnik, Pablo Jensen