Imagen de Portada

Feature Engineering Strategies for Improving Predictive Modeling in Sparse Data Environments

Fuente: Zenodo

Guardado en:

Detalles Bibliográficos
Autores principales:	Monteiro, Elisa, Vella, Dario, Haddad, Karol
Formato:	Recurso digital
Lenguaje:	inglés
Publicado:	Zenodo 2020
Materias:	Feature engineering sparse data machine learning dimensionality reduction embeddings aggregation predictive modeling
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

INVESTIGATING THE IMPACT OF FEATURE SELECTION METHODS ON THE PERFORMANCE OF DEEP NEURAL NETWORKS FOR IMAGE RECOGNITION TASKS
por: Researcher
Publicado: (2025)

Exploration of Climate Data and Temperature Forecasting using Machine Learning
por: AlBalawi, Eman
Publicado: (2024)

Customer Personality Prediction using the Ensemble Technique
por: Madarapu Soumica, et al.
Publicado: (2021)

Formal Mathematical Framework of a Modular Reduction Process via Digital Root: Applied Perspectives and Practical Implications (V3)
por: Esposito, Andrea
Publicado: (2026)

A REAL-TIME EMBEDDED FAULT DIAGNOSIS SYSTEM FOR PHOTOVOLTAIC MODULE MONITORING
por: International Journal of Technovation and Business Insights
Publicado: (2026)

Reproducible Analysis of Cross-Site Distribution Shift in High-Dimensional Microbiome Classifiers
por: Pereira, Antonio
Publicado: (2026)

Risk factors associated with preterm birth: identification, prediction and evaluation in the BRISA cohort
por: Bazo, Gabriel, et al.
Publicado: (2024)

Intelligent Waste Separator
por: Andres Torres-García
Publicado: (2015)

Supplementary dataset for paper: "Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling"
por: Clement, Mihaela-Larisa, et al.
Publicado: (2026)

Towards an automatic detection system of sports talents: an approach to Tae Kwon Do
por: Román Alcides Lara Cueva
Publicado: (2018)

AI Applications in Enhancing Patient Adherence to Medication Regimens
por: Prasad, Dr. Harika
Publicado: (2025)

Spectral Feature Selection for Data Mining
por: Zhao, Zheng Alan, et al.
Publicado: (2025)

Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
por: Yang, Cynthia, et al.
Publicado: (2024)

Crop Yield Prediction using Machine Learning
por: Doli Ruthika, et al.
Publicado: (2026)

Predicting hotel booking cancellations to decrease uncertainty and increase revenue
por: Nuno Antonio
Publicado: (2017)

First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
por: Caraker, Drake, et al.
Publicado: (2026)

SVM On Trees
por: Tran, Cong-Huan, et al.
Publicado: (2026)

PERSONALIZED GROCERY SHOPPING THROUGH AI-DRIVEN SMART ORDERING TECHNOLOGIES
por: Anderson, Olivia Marie, et al.
Publicado: (2026)

AI-Powered Anomaly Detection in Industrial IoT (IIoT) for Manufacturing Optimization
por: Nirup Kumar Reddy Pothireddy
Publicado: (2022)

Computational Models of Financial Price Prediction: A Survey of Neural Networks, Kernel Machines and Evolutionary Computation Approaches
por: Javier Sandoval
Publicado: (2011)

Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia
por: Henry Lamos-Díaz
Publicado: (2020)

Enhancing Multiple Disease Prediction Systems Using Advanced Machine Learning Algorithms: A Web-Based Approach
por: Anthony, Eniola Olayori
Publicado: (2025)

Optimizing earthquake damage prediction using particle swarm optimization-based feature selection
por: Nurul Anisa Sri Winarsih, et al.
Publicado: (2025)

Data-Centric Engineering
Publicado: (2020)

Classification Models Analysis for Stroke Prediction
por: Santos, Dheiver Francisco
Publicado: (2023)

Fortran application to solve systems from NLA using compact storage
por: Wilson Rodríguez-Calderón
Publicado: (2015)

Machine Learning Applied to Gender Violence: A Systematic Mapping Study
por: Cristian-Camilo Pinto-Muñoz
Publicado: (2023)

Comparative Analysis of ML Models with Selection Methods for Early Predictive Analytics of Sepsis in ICU
por: Vandana, et al.
Publicado: (2024)

Software Defect Prediction Dataset: 296,457 Code File Instances from Five Open-Source Repositories (Elasticsearch, Spring Boot, Hadoop, Kafka, Express)
por: Javvadi, Vijay P
Publicado: (2026)

A novel feature selection method in the categorization of imbalanced textual data
por: Pouramini, Jafar, et al.
Publicado: (2018)

Machine Learning Model for Primary Solar Resource Assessment in Colombia
por: Edgar Darío Obando Paredes
Publicado: (2023)

Journal of Artificial Intelligence in Engineering Practice
Publicado: (2025)

Neural Networks and Political Science: Testing the Methodological Frontiers
por: Lukasz Wordliczek
Publicado: (2023)

Overlapped block-based compressive sensing imaging on mobile handset devices
por: Irene Manotas Gutiérrez
Publicado: (2014)

Diabetes Prediction Modeling Using XGBoost Ensemble Learning with SHAP Explainability: A Machine Learning Approach on the Pima Indians Diabetes Dataset
por: Khan Gulrez Shagufa Fazal Ahmed
Publicado: (2026)

A Real-Time Framework for Disaster Management With IoT and Machine Learning Techniques
por: K.Likith, Babu
Publicado: (2025)

Data-Centric Quantum Machine Learning: data-to-models continuum
por: Rita Pias, Marcelo, et al.
Publicado: (2026)

Face Liveness Detection based on Local Diffused Patterns
por: Meghana P S, et al.
Publicado: (2020)

Applicability of semi-supervised learning assumptions for gene ontology terms prediction
por: Jorge Alberto Jaramillo-Garzón
Publicado: (2016)

Database Dimensional Folding: 36 Quadrillion x Faster Searches Through 74D→19D Projection
por: Kilpatrick, Christian
Publicado: (2025)