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Materias / palabras clave: Random forest; Mathematics; AdaBoost; Statistics; Tree (set theory); Generalization; Support vector machine; Generalization error; Measure (data warehouse); Artificial intelligence; Pattern recognition (psychology); Comp...

Materias / palabras clave: Overfitting; Random forest; Classifier (UML); Computer science; Outlier; Artificial intelligence; Pattern recognition (psychology); Curse of dimensionality; Machine learning; Decision tree; Remote sensing; Data mining

Ensemble methods show improved generalization capabilities that outperforrn those of single larners. lt is generally accepted that, for aggregation to be effective, the individual learners must be as accurate and diverse...

ObjectiveTo develop a non-invasive diagnostic method for pelvic chondrosarcoma using clinical and radiological features, aiming to improve early diagnostic accuracy and reduce reliance on invasive biopsies.MethodsTwo hun...

This study investigates the performance of the Random Forest algorithm in measuring the quality of Higher Education Institutions (HEIs) in Indonesia. The current reliance on administrative evaluations and conventional ac...

Background: Extreme heat poses growing public health challenges, particularly in rapidly urbanizing regions. Assessing heat vulnerability at the county level is crucial for guiding adaptation strategies. Methods: A count...

Nutritional status of toddlers was considered a key indicator for assessing nutritional problems among children. According to the Banyuwangi Regency Health Profile, the prevalence of undernutrition based on the weight-fo...

ObjectiveTo investigate the key risk factors for secondary ectopics of catheter after central venous catheter insertion(PICC) through peripheral veins,and to construct and validate a risk prediction model based on the ra...

Abstract This paper presents an eyebolt structural fault detection system, based on the analysis of multiple electromagnetic parameters through a random forest classifier trained by both measurements and high-fidelity si...

In recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new ty...

Knee-related conditions, such as anterior cruciate ligament injuries and meniscal ruptures, significantly affect mobility and quality of life. Although range-of-motion exercises are important for rehabilitation, interpre...

Indonesia merupakan salah satu produsen nanas terbesar di dunia, sehingga penentuan tingkat kematangan buah menjadi hal penting untuk menjaga mutu dan mendukung distribusi pascapanen. Penilaian kematangan secara tr...

Abstract The increase in vehicle ownership and urban population puts a strain on roads and increases traffic congestion within developed and developing nations. Congestion affects an individual’s time and increases an ...

Random forests are currently one of the most preferable methods of supervised learning among practitioners. Their popularity is influenced by the possibility of applying this method without a time consuming pre processin...

Traffic accidents pose a major concern in many countries, including Indonesia, causing considerable losses, injuries, and fatalities each year. Properly classifying the severity of these incidents is essential for author...

Abstract Marine habitat maps are essential tools for marine spatial planning, providing information for decision‐making in conservation and resource management. Accurate classification of benthic habitats supports thei...

The leading cause of human death is heart disease (HD) worldwide which generally occurs when the heart is unable to push enough fresh, oxidized blood to the rest of the body. This disease makes it more difficult for the ...

Flood disasters, with high suddenness, wide impact and severe consequences, severely threaten ecological security, human lives, property and socioeconomic development. Optical remote sensing, though advantageous in spati...

El presente trabajo analiza y compara la precisión de dos algoritmos de aprendizaje automático supervisado -Random Forest y Redes Neuronales- en la imputación de datos faltantes en encuestas escolares. A partir de la ...

Póster presentado en la Escuela de Primavera en Deep Learning 2025 – Facultad de Ciencias Exactas y Naturales - UBA. "Los cuestionarios complementarios que responden los estudiantes en el marco de la Evaluación Nacio...

Forest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equati...

Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is seldom resolved. A method to construct a de...

Abstract The rising demand for timber, alongside declining natural forests, has driven rapid growth of plantation forestry, especially smallholder woodlots in sub-Saharan Africa. Despite their increasing importance for l...

Anthropogenic alteration of tropical and subtropical forests is a major driver of biodi-versity loss, with the Chaco forest, the largest dry forest in the Americas, among the most impacted regions. Sustainable forest man...