:: Library Catalog

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Xehetasun bibliografikoak
Egile Nagusiak:	Rumana Hasinullah Shaikh, Subhalaxmi Nayak
Formatua:	Recurso digital
Hizkuntza:
Argitaratua:	Zenodo 2026
Gaiak:	Machine Learning algorithms Support Vector System Random Forest Splitting techniques
Sarrera elektronikoa:	https://doi.org/10.5281/zenodo.20393349
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Insights into breast cancer: A simple machine learning method for early disease detection
nork: Sowah, Anthony, et al.
Argitaratua: (2025)

Predictive Crop Yield Modeling and Soil Quality Classification using Machine Learning
nork: Manju Sadasivan, et al.
Argitaratua: (2025)

IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM
nork: Shokhrukh Sariyev
Argitaratua: (2025)

Classification Models Analysis for Stroke Prediction
nork: Santos, Dheiver Francisco
Argitaratua: (2023)

Crop Advisor: Intelligent Crop Recommendation System
nork: Viraj Nalawade
Argitaratua: (2025)

Comparative analysis of K-Means, SVM, Decision Tree and Naive Bayes in Predicting Diabetes Presence
nork: Rohan Almeida, et al.
Argitaratua: (2023)

Age Dominates Machine Learning Survival Prediction in Haematological Malignancies: A Multi-Disease Analysis of 192,825 Patients Demonstrates Cox Regression Sufficiency
nork: Farquhar, Hayden
Argitaratua: (2026)

Cocoa Map for Cote d'Ivoire and Ghana
nork: Abu, Itohan-Osa, et al.
Argitaratua: (2020)

Customer Churn Prediction in the Software by Subscription models IT business using machine learning methods
nork: Kolesnikova, Kateryna
Argitaratua: (2021)

Predicting the Success of Marketing Campaigns in the Banking Sector
nork: Harshith P
Argitaratua: (2025)

Mobile Health Tech Models for Malaria Vector Control in Kigali: One-Year Mosquito Population Reduction Evaluation
nork: Ruzindana, Kizito
Argitaratua: (2001)

Student Performance Prediction Using Machine Learning
nork: Hrutuja Umakant Aher
Argitaratua: (2026)

Online Subsidy Management System Using Machine Learning (Algorithm- Logistic Regression, Random Forest, Decision Tree)
nork: Aniket Bhandare, Soundrya Biradar, Nikhil Lonari, Vishwaraj Pawar, Pallavee Bavane-Patil
Argitaratua: (2026)

Machine Learning-Based Employee Performance Rating System
nork: Siddharth Sharma, et al.
Argitaratua: (2026)

The Importance of Word-final Vowel Duration for Non-native Portuguese Speaker Identification by Means of Support Vector Machines
nork: Suzanne Franks
Argitaratua: (2014)

Application of bayesian additive regression trees in the development of credit scoring models in Brazil
nork: Daniel Alves de Brito
Argitaratua: (2018)

Smote_easy: um algoritmo para tratar o problema de classificação em bases de dados reais
nork: Hugo Leonardo Pereira Rufino
Argitaratua: (2016)

Application of Different Machine Learning Techniques for Predicting Heart Dieses
nork: Tejaswini Zope, et al.
Argitaratua: (2021)

PREDICTION OF TBM PENETRATION RATE USING SUPPORT VECTOR MACHINE
nork: ALIREZA AFRADI
Argitaratua: (2020)

Diseño de un modelo de detección temprana de amenazas cibernéticas en PYMES colombianas mediante técnicas de inteligencia artificial
nork: Reina, Edgar Andres
Argitaratua: (2026)

Methodology for Classifying the Structural State of Uninspected Pipes in Sewer Networks Based on Support Vector Machines
nork: Nathalie Hernández
Argitaratua: (2022)

Modelling effective soil depth at field scale from soil sensors and geomorphometric indices
nork: Mauricio Castro Franco
Argitaratua: (2017)

Prediction of Abnormal Wine Fermentations Using Computational Intelligent Techniques
nork: Gonzalo Hernández
Argitaratua: (2015)

Comparison of Kernel Functions in the Classification of Irradiance Zones from Multispectral Satellite Images
nork: Dalila-Mercedes Pachajoa
Argitaratua: (2021)

Background Subtraction for Time of Flight Imaging
nork: Javier Giacomantone
Argitaratua: (2017)

Advanced Multi-Crop Disease Classification: A Stacking Ensemble Approach for Solanaceae and Malvaceae in Tirupattur District
nork: BASKAR M, et al.
Argitaratua: (2025)

A Survey on Liver Cancer Detection Using Hyperfusion of CNN and SVM in Machine Learning
nork: Kalaiselvi N
Argitaratua: (2025)

Enhancing Marble Waste Recycling Through Machine Learning: The Role of Particle Size Variation and Class Imbalance Mitigation
nork: Shambhavi Sinha
Argitaratua: (2026)

Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests
nork: Aria, Massimo, et al.
Argitaratua: (2022)

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence
nork: Ebrahimie, Esmaeil, et al.
Argitaratua: (2018)

Automatic detection of bumblebees using video analysis
nork: Willy Azarcoya-Cabiedes
Argitaratua: (2014)

Named Entity Recognition for Konkani Speech
nork: Shalaka Naik Dessai
Argitaratua: (2025)

UML to model pollution patterns of the Smart Cities for Metropolitan Zone of Guadalajara
nork: Martha Patricia Martínez Vargas
Argitaratua: (2021)

A COMPARATIVE ANALYSIS OF MULTIPLE APPROACHES MACHINE LEARNING FOR PREDICTING AND ANALYSING URINE PH AMOUNT
nork: Prajna Bhunia, et al.
Argitaratua: (2023)

IgniWise Dataset — Prescribed Burn Window Prediction for Spain (1983–2015)
nork: Romera Martínez, Sergio
Argitaratua: (2026)

A review of Machine Learning (ML) algorithms used for modeling travel mode choice
nork: Juan D. Pineda-Jaramillo
Argitaratua: (2019)

Impact of Feature Scaling on the Performance of Classification Algorithms: a Comparative Study on Wine Dataset
nork: Arora, Suhani
Argitaratua: (2026)

Aplicación de una red neuronal feed-forward backpropagation para el diagnóstico de fallas mecánicas en motores de encendido provocado
nork: Wilmer Contreras Urgilés
Argitaratua: (2019)

PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON
nork: João Arthur Pompeu Pavanelli
Argitaratua: (2018)

Improving an Industrial problem optimizing the material in car seats
nork: Alberto Ochoa - Zezzatti
Argitaratua: (2016)