:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Belmonte, Álvaro, Zafra, Amelia, Gibaja, Eva
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.08056
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hoeffding adaptive trees for multi-label classification on data streams
by: Esteban, Aurora, et al.
Published: (2024)

MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning
by: Esteban, Aurora, et al.
Published: (2026)

Neural Collapse in Multi-label Learning with Pick-all-label Loss
by: Li, Pengyu, et al.
Published: (2023)

Multi-label Ranking: Mining Multi-label and Label Ranking Data
by: Dery, Lihi
Published: (2021)

Cross-scale Multi-instance Learning for Pathological Image Diagnosis
by: Deng, Ruining, et al.
Published: (2023)

Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024)

A Consistent Lebesgue Measure for Multi-label Learning
by: Demir, Kaan, et al.
Published: (2024)

ProPML: Probability Partial Multi-label Learning
by: Struski, Łukasz, et al.
Published: (2024)

Multi-scale Multi-instance Visual Sound Localization and Segmentation
by: Mo, Shentong, et al.
Published: (2024)

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems
by: Islam, Khayrul, et al.
Published: (2023)

Multi-label Learning with Random Circular Vectors
by: Nishida, Ken, et al.
Published: (2024)

Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
by: Matsuishi, Koki, et al.
Published: (2025)

TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision
by: Liu, Chen, et al.
Published: (2024)

A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)

On the Optimality of Single-label and Multi-label Neural Network Decoders
by: Gültekin, Yunus Can, et al.
Published: (2025)

Detecting Security-Relevant Methods using Multi-label Machine Learning
by: Johnson, Oshando, et al.
Published: (2024)

A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
by: Li, Xiang, et al.
Published: (2024)

Compositional Learning for Modular Multi-Agent Self-Organizing Networks
by: Liao, Qi, et al.
Published: (2025)

Multi-label Node Classification On Graph-Structured Data
by: Zhao, Tianqi, et al.
Published: (2023)

Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning
by: Audiffren, Julien, et al.
Published: (2024)

Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
by: Xu, Xin, et al.
Published: (2025)

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025)

Provably tuning the ElasticNet across instances
by: Balcan, Maria-Florina, et al.
Published: (2022)

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
by: Ye, Hui, et al.
Published: (2023)

Modular Multi-Task Learning for Chemical Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2026)

Hyperbolic Structured Classification for Robust Single Positive Multi-label Learning
by: Lin, Yiming, et al.
Published: (2025)

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
by: Esteban, A., et al.
Published: (2024)

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
by: Huang, Guangming, et al.
Published: (2024)

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
by: Dahiya, Kunal, et al.
Published: (2024)

Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
by: Ullah, Nasib, et al.
Published: (2024)

HMCGeo: IP Region Prediction Based on Hierarchical Multi-label Classification
by: Zhao, Tianzi, et al.
Published: (2025)

Multi-label Classification via Adaptive Resonance Theory-based Clustering
by: Masuyama, Naoki, et al.
Published: (2021)

A Systematic Literature Review on Multi-label Data Stream Classification
by: Freire-Oliveira, H., et al.
Published: (2025)

Ca-MCF: Category-level Multi-label Causal Feature selection
by: Gao, Wanfu, et al.
Published: (2026)

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
by: Hu, Weihua, et al.
Published: (2024)

Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics
by: Zhang, Boxuan, et al.
Published: (2026)

Barycentric alignment for instance-level comparison of neural representations
by: Saha, Shreya, et al.
Published: (2026)

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
by: Sajedi, Ahmad, et al.
Published: (2024)

A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning
by: Li, Xiang, et al.
Published: (2020)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
by: Beţianu, Miruna, et al.
Published: (2024)