:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rocha, Victor F., Rodrigues, Alexandre L., Oliveira-Santos, Thiago, Varejão, Flávio M.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.13541
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring
by: Sehri, Mert, et al.
Published: (2025)

The Multiplex Classification Framework: optimizing multi-label classifiers through problem transformation, ontology engineering, and model ensembling
by: Offidani, Mauro Nievas, et al.
Published: (2024)

Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier
by: Rodrigues, Érick Oliveira
Published: (2021)

A weighted quantum ensemble of homogeneous quantum classifiers
by: Tolotti, Emiliano, et al.
Published: (2025)

RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
by: Bennett, Luca A., et al.
Published: (2023)

MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices
by: Doknic, Aleksandar, et al.
Published: (2025)

ODTE -- An ensemble of multi-class SVM-based oblique decision trees
by: Montañana, Ricardo, et al.
Published: (2024)

A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis
by: Trajdos, Pawel, et al.
Published: (2024)

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

Imputation using training labels and classification via label imputation
by: Nguyen, Thu, et al.
Published: (2023)

Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection
by: Trajdos, Pawel, et al.
Published: (2025)

InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
by: Roginek, Eric, et al.
Published: (2026)

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

Comparing Neural Network Encodings for Logic-based Explainability
by: Carvalho, Levi Cordeiro, et al.
Published: (2025)

Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
by: Li, Shi
Published: (2025)

Time-dependent density estimation using binary classifiers
by: Dasgupta, Agnimitra, et al.
Published: (2025)

Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
by: Alba, Eduardo Luiz, et al.
Published: (2024)

Asymptotic Bayes risk of semi-supervised learning with uncertain labeling
by: Leger, Victor, et al.
Published: (2024)

Optimal partition of feature using Bayesian classifier
by: Vishwakarma, Sanjay, et al.
Published: (2023)

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
by: Cabezas, Luben M. C., et al.
Published: (2025)

Asymptotically optimal regret in communicating Markov decision processes
by: Boone, Victor
Published: (2025)

Applications of flow models to the generation of correlated lattice QCD ensembles
by: Abbott, Ryan, et al.
Published: (2024)

LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
by: Santos, Vagner, et al.
Published: (2026)

Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers
by: Lemaire, Vincent, et al.
Published: (2023)

Concisely Explaining the Doubt: Minimum-Size Abductive Explanations for Linear Models with a Reject Option
by: Fernandes, Gleilson Pedro, et al.
Published: (2026)

Towards a general framework for improving the performance of classifiers using XAI methods
by: Apicella, Andrea, et al.
Published: (2024)

Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator
by: Levada, Alexandre Luís Magalhães, et al.
Published: (2024)

Quantifying task-relevant representational similarity using decision variable correlation
by: Qian, Yu Eric, et al.
Published: (2025)

Representation Gap: Explaining the Unreasonable Effectiveness of Neural Networks from a Geometric Perspective
by: Perera, David, et al.
Published: (2026)

Optimal probabilistic feature shifts for reclassification in tree ensembles
by: Blanco, Víctor, et al.
Published: (2024)

Zero-failure testing of binary classifiers
by: Ivrissimtzis, Ioannis, et al.
Published: (2024)

Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization
by: Filho, Francisco Mateus Rocha, et al.
Published: (2026)

A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
by: Delgado-Panadero, Ángel, et al.
Published: (2024)

The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onset
by: Santos, Augusto, et al.
Published: (2026)

Large margin classifier with graph-based adaptive regularization
by: Hanriot, Vítor M., et al.
Published: (2026)

Towards Symmetric Low-Rank Adapters
by: Panoutsos, Tales, et al.
Published: (2025)

Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
by: Narayan, Avanika, et al.
Published: (2024)

Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localization
by: Silva, Vinicius L. S., et al.
Published: (2025)

Detecting labeling bias using influence functions
by: Jørgensen, Frida, et al.
Published: (2026)

Computationally lightweight classifiers with frequentist bounds on predictions
by: Murali, Shreeram, et al.
Published: (2026)