Cover Image

Self-supervised learning on gene expression data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dradjat, Kevin, Hamidi, Massinissa, Bartet, Pierre, Hanczar, Blaise
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets
by: Dradjat, Kevin, et al.
Published: (2026)

On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes
by: Hamidi, Massinissa, et al.
Published: (2023)

Deep Generative Models for Discrete Genotype Simulation
by: Xie, Sihan, et al.
Published: (2025)

A theoretical framework for self-supervised contrastive learning for continuous dependent data
by: Marusov, Alexander, et al.
Published: (2025)

Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Towards efficient representation identification in supervised learning
by: Ahuja, Kartik, et al.
Published: (2022)

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)

Computer Vision Self-supervised Learning Methods on Time Series
by: Lee, Daesoo, et al.
Published: (2021)

Deep Learning with Tabular Data: A Self-supervised Approach
by: Vyas, Tirth Kiranbhai
Published: (2024)

Resource-efficient Layer-wise Federated Self-supervised Learning
by: Tun, Ye Lin, et al.
Published: (2024)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
by: Zhang, Zeyang, et al.
Published: (2024)

Normalizing self-supervised learning for provably reliable Change Point Detection
by: Bazarova, Alexandra, et al.
Published: (2024)

Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)

Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection
by: Garcia, Kevin, et al.
Published: (2025)

FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
by: Si, Qi, et al.
Published: (2026)

Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
by: Sun, Luning, et al.
Published: (2025)

MADCluster: Model-agnostic Anomaly Detection with Self-supervised Clustering Network
by: Lee, Sangyong, et al.
Published: (2025)

Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges
by: Liu, Xiaoqian, et al.
Published: (2023)

VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification
by: Hu, Yulan, et al.
Published: (2023)

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
by: Yang, Yuxuan, et al.
Published: (2025)

GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning
by: Liu, Chuang, et al.
Published: (2026)

Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
by: Ding, Chen-Lu, et al.
Published: (2024)

Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
by: Sun, Xiaowu, et al.
Published: (2025)

FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
by: Nguyen, Van Tuan, et al.
Published: (2024)

Approximation-Free Differentiable Oblique Decision Trees
by: Panda, Subrat Prasad, et al.
Published: (2026)

Self-supervised Learning Method Using Transformer for Multi-dimensional Sensor Data Processing
by: Kai, Haruki, et al.
Published: (2025)

SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
by: Shou, Yuntao, et al.
Published: (2024)

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction
by: Liu, Xiayu, et al.
Published: (2026)

Over-the-Air Fair Federated Learning via Multi-Objective Optimization
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)

Detection of diabetic retinopathy using longitudinal self-supervised learning
by: Zeghlache, Rachid, et al.
Published: (2022)

AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
by: Zhang, Jiaming, et al.
Published: (2024)

ECG-NAT: A Self-supervised Neighborhood Attention Transformer for Multi-lead Electrocardiogram Classification
by: Gazeran, Mahsa, et al.
Published: (2026)

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
by: Shaeri, Pouya, et al.
Published: (2024)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
by: Kotoge, Rikuto, et al.
Published: (2024)

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
by: Ma, Ying, et al.
Published: (2024)

TF-MCL: Time-frequency Fusion and Multi-domain Cross-Loss for Self-supervised Depression Detection
by: Zhao, Li-Xuan, et al.
Published: (2025)

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection
by: Leng, Yicheng, et al.
Published: (2025)

Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
by: Joshi, Siddharth, et al.
Published: (2023)

Fake detection in imbalance dataset by Semi-supervised learning with GAN
by: Bordbar, Jinus, et al.
Published: (2022)

Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation
by: Zhu, Xiangqian, et al.
Published: (2024)