:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Apellániz, Patricia A., Parras, Juan, Zazo, Santiago
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence I.2.1
Online Access:	https://arxiv.org/abs/2404.08434
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
by: Apellániz, Patricia A., et al.
Published: (2024)

Synthetic Tabular Data Validation: A Divergence-Based Approach
by: Apellániz, Patricia A., et al.
Published: (2024)

Interpretable Clinical Classification with Kolmogorov-Arnold Networks
by: Almodóvar, Alejandro, et al.
Published: (2025)

Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)

Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games
by: Pape, Nicholas A.
Published: (2025)

Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024)

Towards an educational tool for supporting neonatologists in the delivery room
by: Leonardi, Giorgio, et al.
Published: (2024)

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
by: Windmann, Alexander, et al.
Published: (2024)

Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes
by: Desure, Ruchika, et al.
Published: (2024)

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
by: Yoon, Namkyung, et al.
Published: (2026)

CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026)

LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
by: Zhang, Marilyn, et al.
Published: (2026)

A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)

Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
by: Cunha, Cristiano da Costa, et al.
Published: (2026)

IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
by: Macciò, Simone, et al.
Published: (2025)

BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)

Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)

NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region
by: Kumar, Rampunit, et al.
Published: (2026)

Automated ultrasound doppler angle estimation using deep learning
by: Patil, Nilesh, et al.
Published: (2025)

Explainable Prediction of the Mechanical Properties of Composites with CNNs
by: Raaghav, Varun, et al.
Published: (2025)

Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
by: Yoo, Seunghyun, et al.
Published: (2026)

SOMtime the World Ain$'$t Fair: Violating Fairness Using Self-Organizing Maps
by: Bingham, Joseph, et al.
Published: (2026)

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
by: Shao, Zhiqi, et al.
Published: (2024)

Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI
by: Chou, Evan J., et al.
Published: (2025)

Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)

Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
by: Moreira, Rodrigo, et al.
Published: (2024)

NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
by: Jo, Wonkeun, et al.
Published: (2024)

Bayesian Nonparametric Dynamical Clustering of Time Series
by: Pérez-Herrero, Adrián, et al.
Published: (2025)

Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning
by: Jiang, Zeyu, et al.
Published: (2025)

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)

Foundation Models for Structural Health Monitoring
by: Benfenati, Luca, et al.
Published: (2024)

Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice
by: Clément, Benjamin, et al.
Published: (2024)

A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting
by: Chakraborty, Arya, et al.
Published: (2024)

VERITAS-NLI : Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference
by: Shah, Arjun, et al.
Published: (2024)

Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness
by: Pala, Riccardo, et al.
Published: (2024)

Mitigating Structural Noise in Low-Resource S2TT: An Optimized Cascaded Nepali-English Pipeline with Punctuation Restoration
by: Chongbang, Tangsang, et al.
Published: (2026)

Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller
by: Zishan, Md Abu Obaida, et al.
Published: (2025)

A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam
by: Fernandes, Rean, et al.
Published: (2025)

Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)

A Novel Loss Function for Deep Learning Based Daily Stock Trading System
by: Guo, Ruoyu, et al.
Published: (2025)