Cover Image

How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Petiton, Sara, Grigis, Antoine, Dufumier, Benoit, Duchesnay, Edouard
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving clinical interpretability of linear neuroimaging models through feature whitening
by: Petiton, Sara, et al.
Published: (2026)

Automatic Discovery of Disease Subgroups by Contrasting with Healthy Controls
by: Louiset, Robin, et al.
Published: (2026)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
by: Louiset, Robin, et al.
Published: (2023)

A Unified Geometric Framework for Weighted Contrastive Learning
by: Vock, Raphael, et al.
Published: (2026)

Separating common from salient patterns with Contrastive Representation Learning
by: Louiset, Robin, et al.
Published: (2024)

Robust brain age estimation from structural MRI with contrastive learning
by: Barbano, Carlo Alberto, et al.
Published: (2025)

Don't throw the baby out with the bathwater: How and why deep learning for ARC
by: Cole, Jack, et al.
Published: (2025)

What to align in multimodal contrastive learning?
by: Dufumier, Benoit, et al.
Published: (2024)

A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
by: Zheng, Xiao, et al.
Published: (2025)

Deep transfer learning for image classification: a survey
by: Plested, Jo, et al.
Published: (2022)

Anatomical Foundation Models for Brain MRIs
by: Barbano, Carlo Alberto, et al.
Published: (2024)

Multiplicative update rules for accelerating deep learning training and increasing robustness
by: Kirtas, Manos, et al.
Published: (2023)

A second-order-like optimizer with adaptive gradient scaling for deep learning
by: Bolte, Jérôme, et al.
Published: (2024)

Decentralised self-organisation of pivoting cube ensembles using geometric deep learning
by: Dobreva, Nadezhda, et al.
Published: (2025)

Ensemble BERT: A student social network text sentiment classification model based on ensemble learning and BERT architecture
by: Jiang, Kai, et al.
Published: (2024)

KAN-Mixers: a new deep learning architecture for image classification
by: Canuto, Jorge Luiz dos Santos, et al.
Published: (2025)

SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
by: Lansiaux, Edouard, et al.
Published: (2025)

Designing a double deep reinforcement learning selection tool for resilient demand prediction
by: Benziane, Bilel Abderrahmane, et al.
Published: (2026)

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
by: Arasteh, Soroosh Tayebi, et al.
Published: (2025)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
by: Ly, Adrian, et al.
Published: (2025)

Hybrid deep convolution model for lung cancer detection with transfer learning
by: Saxena, Sugandha, et al.
Published: (2025)

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift
by: Cánovas-Rodriguez, Adrián, et al.
Published: (2026)

Enhancing material property prediction with ensemble deep graph convolutional networks
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2024)

Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
by: Sha, Yingkai, et al.
Published: (2023)

Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
by: Sellner, Jan, et al.
Published: (2024)

The order in speech disorder: a scoping review of state of the art machine learning methods for clinical speech classification
by: Moell, Birger, et al.
Published: (2025)

How and where does CLIP process negation?
by: Quantmeyer, Vincent, et al.
Published: (2024)

What model does MuZero learn?
by: He, Jinke, et al.
Published: (2023)

Using deep learning to construct stochastic local search SAT solvers with performance bounds
by: Kramer, Maximilian J., et al.
Published: (2023)

A review of deep learning-based information fusion techniques for multimodal medical image classification
by: Li, Yihao, et al.
Published: (2024)

Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
by: Li, Zhongzhi, et al.
Published: (2024)

A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
by: Ji, Shaolin, et al.
Published: (2022)

pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons
by: Hu, Runzhi, et al.
Published: (2024)

ARC-Encoder: learning compressed text representations for large language models
by: Pilchen, Hippolyte, et al.
Published: (2025)

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
by: Morel, Rudy, et al.
Published: (2025)

How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
by: Zhang, Yixin, et al.
Published: (2024)

An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
by: Alam, Md Ferdous, et al.
Published: (2023)

Genetic mapping studies of schizophrenia and bipolar disorder
by: Michael A. Escamilla
Published: (2004)

Explaining deep neural network models for electricity price forecasting with XAI
by: Pesenti, Antoine, et al.
Published: (2025)

Permutative redundancy and uncertainty of the objective in deep learning
by: Glukhov, Vacslav
Published: (2024)