:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Silva, Inês Oliveira e, Jesus, Sérgio, Ferreira, Hugo, Saleiro, Pedro, Sousa, Inês, Bizarro, Pedro, Soares, Carlos
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.06214
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aequitas Flow: Streamlining Fair ML Experimentation
by: Jesus, Sérgio, et al.
Published: (2024)

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
by: Bravo, João, et al.
Published: (2024)

Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
by: Silva, Inês Oliveira e, et al.
Published: (2026)

Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection
by: Pereira, Ricardo Ribeiro, et al.
Published: (2025)

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
by: Moreira, Ricardo, et al.
Published: (2024)

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints
by: Alves, Jean V., et al.
Published: (2024)

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
by: Eddin, Ahmad Naser, et al.
Published: (2024)

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
by: Eddin, Ahmad Naser, et al.
Published: (2023)

Learning Fairer Representations with FairVIC
by: Barker, Charmaine, et al.
Published: (2024)

RIFF: Inducing Rules for Fraud Detection from Decision Trees
by: Martins, João Lucas, et al.
Published: (2024)

Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
by: Palmeiro, João, et al.
Published: (2025)

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
by: Cheong, Jiaee, et al.
Published: (2025)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)

Label Noise: Correcting the Forward-Correction
by: Toner, William, et al.
Published: (2023)

KAN or MLP: A Fairer Comparison
by: Yu, Runpeng, et al.
Published: (2024)

GFLC: Graph-based Fairness-aware Label Correction for Fair Classification
by: Sulaiman, Modar, et al.
Published: (2025)

Towards a Fairer Non-negative Matrix Factorization
by: Kassab, Lara, et al.
Published: (2024)

Role of Octaspline Multielectrode Catheter and Unipolar Reference Location for Premature Ventricular Contraction Ablation
by: Pedro A. Sousa, et al.
Published: (2025)

Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
by: Grinberg, Yuval, et al.
Published: (2025)

MUSE: Multi-Tenant Model Serving With Seamless Model Updates
by: Correia, Cláudio, et al.
Published: (2026)

Noise Correction on Subjective Datasets
by: Jinadu, Uthman, et al.
Published: (2023)

"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis
by: Feliciano, Beatriz, et al.
Published: (2024)

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction
by: Ju, Wei, et al.
Published: (2026)

Software Engineering Principles for Fairer Systems: Experiments with GroupCART
by: Peng, Kewen, et al.
Published: (2025)

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
by: Inácio, Ricardo, et al.
Published: (2025)

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
by: Kodge, Sangamesh, et al.
Published: (2024)

Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models
by: Voria, Gianmario, et al.
Published: (2026)

Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers
by: Barrainkua, Ainhize, et al.
Published: (2024)

Label Noise: Ignorance Is Bliss
by: Zhu, Yilun, et al.
Published: (2024)

An Embedding is Worth a Thousand Noisy Labels
by: Di Salvo, Francesco, et al.
Published: (2024)

Long-term Fairness with Selective Labels
by: Valdrighi, Giovani, et al.
Published: (2026)

Enhancing Classifier Evaluation: A Fairer Benchmarking Strategy Based on Ability and Robustness
by: Cardoso, Lucas, et al.
Published: (2025)

Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
by: Huang, Weipeng, et al.
Published: (2025)

DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning
by: Tepeli, Yasin I., et al.
Published: (2024)

Telco-DPR: A Hybrid Dataset for Evaluating Retrieval Models of 3GPP Technical Specifications
by: Saraiva, Thaina, et al.
Published: (2024)

A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 with New Scoring and Data Sources
by: Freitas, Tadeu, et al.
Published: (2025)

MERGE -- A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition
by: Louro, Pedro Lima, et al.
Published: (2024)

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
by: Parraga, Otávio, et al.
Published: (2022)

Label-Noise Robust Diffusion Models
by: Na, Byeonghu, et al.
Published: (2024)

Why is SAM Robust to Label Noise?
by: Baek, Christina, et al.
Published: (2024)