:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Kahouadji, Nabil
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning 62H30, 62J15, 62P10, 68T01
Acceso en línea:	https://arxiv.org/abs/2402.15005
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
por: Sawyer, Jennifer, et al.
Publicado: (2025)

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
por: Chen, Jiandong, et al.
Publicado: (2026)

Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
por: De Magistris, Anna, et al.
Publicado: (2026)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
por: Pinto, Pedro Henrique Ramos, et al.
Publicado: (2026)

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
por: Mostafa, Fahad, et al.
Publicado: (2025)

Pathwise Learning of Stochastic Dynamical Systems with Partial Observations
por: Yang, Nicole Tianjiao
Publicado: (2026)

Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
por: Chatterjee, Debashis
Publicado: (2025)

Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
por: Maturo, Fabrizio, et al.
Publicado: (2024)

Additive Logistic Models as Interpretable Likelihood-Ratio Scores for AUC-Based Classification
por: Chang, Yuan-chin Ivan
Publicado: (2015)

Finding Groups of Cross-Correlated Features in Bi-View Data
por: Dewaskar, Miheer, et al.
Publicado: (2020)

K-Means as a Radial Basis function Network: a Variational and Gradient-based Equivalence
por: Arredondo, Felipe de Jesus Felix, et al.
Publicado: (2026)

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
por: Aich, Agnideep, et al.
Publicado: (2025)

An Information-Theoretic Approach for Detecting Edits in AI-Generated Text
por: Kashtan, Idan, et al.
Publicado: (2023)

Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
por: Allagan, Julian D., et al.
Publicado: (2025)

A Bayesian cluster validity index
por: Wiroonsri, Nathakhun, et al.
Publicado: (2024)

Data-Driven Discovery of Feature Groups in Clinical Time Series
por: Sergeev, Fedor, et al.
Publicado: (2025)

Adapting Altman's bankruptcy prediction model to the compositional data methodology
por: Keivani, Fatemeh, et al.
Publicado: (2026)

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
por: Knottenbelt, William, et al.
Publicado: (2024)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
por: Manokhin, Valery, et al.
Publicado: (2026)

On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation
por: Geiger, Benedikt, et al.
Publicado: (2024)

Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review
por: Altamirano, Sara, et al.
Publicado: (2025)

Multidimensional Analysis of Specific Language Impairment Using Unsupervised Learning Through PCA and Clustering
por: Selvanayagam, Niruthiha
Publicado: (2025)

Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
por: Arifin, Wan Nor, et al.
Publicado: (2025)

A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury
por: Sharma, Akul, et al.
Publicado: (2025)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
por: Slessor, Jordan, et al.
Publicado: (2024)

Randomization Tests for Conditional Group Symmetry
por: Chiu, Kenny, et al.
Publicado: (2024)

A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification
por: Essomba, Rose Yvette Bandolo, et al.
Publicado: (2026)

On the Benefits of Accelerated Optimization in Robust and Private Estimation
por: Marchis, Laurentiu Andrei, et al.
Publicado: (2025)

Analysis of the weighted kappa and its maximum with Markov moves
por: Rapallo, Fabio
Publicado: (2020)

Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
por: Gerard, David, et al.
Publicado: (2017)

Supervised Time Series Classification for Anomaly Detection in Subsea Engineering
por: Çokaj, Ergys, et al.
Publicado: (2024)

Machine learning in an expectation-maximisation framework for nowcasting
por: Wilsens, Paul, et al.
Publicado: (2025)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
por: Abtahi, Farhad, et al.
Publicado: (2025)

Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
por: Arafat, Jahidul, et al.
Publicado: (2025)

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
por: Cai, T. Tony, et al.
Publicado: (2024)

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction
por: Lundström-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Publicado: (2026)

Scalable Posterior Uncertainty for Flexible Density-Based Clustering
por: Bariletto, Nicola, et al.
Publicado: (2026)

Almost exact recovery in noisy semi-supervised learning
por: Avrachenkov, Konstantin, et al.
Publicado: (2020)

Maximum Likelihood for Logistic Regression Model with Incomplete and Hybrid-Type Covariates
por: Cherifi, Mohamed, et al.
Publicado: (2025)

Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
por: Novák, Vojtěch, et al.
Publicado: (2025)