Výsledky vyhledávání - Feature-based enhanced boosting algorithm

Feature-based enhanced boosting algorithm for depression detection

Autoři: Muhammad Sadiq Rohei Kasturi Dewi Varathan Shivakumara Palaiahnakote a další

Zdroj: PeerJ Computer Science, Vol 11, p e2981 (2025)

Témata: Feature-based enhanced boosting algorithm, Depression detection, Enhanced boosting algorithm, Feature engineering, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-2981.pdf; https://peerj.com/articles/cs-2981/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/b9c1e748610448f0be7cf53f9cf9c008

Feature-based enhanced boosting algorithm for depression detection.

Autoři: Rohei, Muhammad Sadiq Varathan, Kasturi Dewi Palaiahnakote, Shivakumara a další

Zdroj: PeerJ Computer Science; Jul2025, p1-47, 47p

Témata: BOOSTING algorithms, FEATURE selection, SOCIAL media, MACHINE learning, AFFECTIVE disorders, ENSEMBLE learning

Diabetes Prediction Using Feature Selection Algorithms and Boosting-Based Machine Learning Classifiers.

Autoři: Rahman, Fatima Hossain, Sheyum Tiang, Jun-Jiat a další

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 20, p2622, 24p

Témata: MACHINE learning, DIAGNOSIS of diabetes, FEATURE selection, BOOSTING algorithms, DATA scrubbing, DATA quality

A novel fusion of interpretable boosting algorithm and feature selection for predicting casing damage.

Autoři: Juan Li Fargalla, Mandella Ali M. Wei Yan a další

Zdroj: Petroleum Science (KeAi Communications Co.); Oct2025, Vol. 22 Issue 10, p4157-4173, 17p

Témata: FEATURE selection, BOOSTING algorithms, PETROLEUM production, PREDICTION models, SANDSTONE

An effective approach to detect aquatic debris in ocean surfaces using AlexNet algorithm in comparison with gradient boosting algorithm.

Autoři: Kamal, T. M. Devi, N. B. Karpagam, V. a další

Zdroj: AIP Conference Proceedings; 2024, Vol. 3161 Issue 1, p1-6, 6p

Témata: BOOSTING algorithms, ALGORITHMS, OCEAN, NOISE, COMPUTER software

Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data.

Autoři: Wang, Jiali Chen, Jia

Zdroj: Energy Informatics; 12/18/2024, Vol. 7 Issue 1, p1-25, 25p

Témata: ELECTRIC vehicles, RANDOM forest algorithms, PROCESS capability, FAULT diagnosis, ARTIFICIAL intelligence, BOOSTING algorithms

A Sustainable Approach to Asthma Diagnosis: Classification with Data Augmentation, Feature Selection, and Boosting Algorithm.

Autoři: Lee, Zne-Jung Yang, Ming-Ren Hwang, Bor-Jiunn

Zdroj: Diagnostics (2075-4418); Apr2024, Vol. 14 Issue 7, p723, 15p

Témata: BOOSTING algorithms, DATA augmentation, FEATURE selection, FEATURE extraction, WHEEZE, ASTHMA

Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool

Autoři: Children's Hospital Medical Center, Cincinnati Rainbow Babies and Children's Hospital Johns Hopkins University a další

Přispěvatelé: Children's Hospital Medical Center, Cincinnati Rainbow Babies and Children's Hospital Johns Hopkins University a další

Zdroj: Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics
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Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images.

Autoři: Zhang, Ruihong Jiang, Guosong

Zdroj: Scientific Reports; 4/18/2025, Vol. 15 Issue 1, p1-20, 20p

Témata: DISTRIBUTION (Probability theory), BOOSTING algorithms, CONVOLUTIONAL neural networks, IMAGE segmentation, IMAGE denoising, RETINAL blood vessels, DEEP learning

An Ensemble Boosting Algorithm based Intrusion Detection System for Smart Internet of Things Environment.

Autoři: Baazeem, Rami

Zdroj: Journal of Intelligent Systems & Internet of Things; 2024, Vol. 13 Issue 2, p272-292, 21p

Témata: COMPUTER network traffic, SMART devices, ARTIFICIAL intelligence, CYBERTERRORISM, BOOSTING algorithms, INTRUSION detection systems (Computer security)

An optimized AdaBoost algorithm with atherosclerosis diagnostic applications: adaptive weight-adjustable boosting.

Autoři: Wang, Sensen Liu, Wenjun Yang, Shuaibin a další

Zdroj: Journal of Supercomputing; Jun2024, Vol. 80 Issue 9, p13187-13216, 30p

Témata: FEATURE selection, LEUKOCYTE count, PULSE wave analysis, BOOSTING algorithms, ATHEROSCLEROSIS, ALGORITHMS, BRACHIOCEPHALIC trunk

An interpretable evolutionary extreme gradient boosting algorithm for rock slope stability assessment.

Autoři: Fatty, Abdoulie Li, An-Jui Qian, Zhi-Guang

Zdroj: Multimedia Tools & Applications; May2024, Vol. 83 Issue 16, p46851-46874, 24p

Témata: SLOPE stability, ROCK slopes, MACHINE learning, BOOSTING algorithms, ARTIFICIAL intelligence, DATABASES

Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports.

Autoři: Amjad, Hafsa Hussain, Zamir Hasan, Mahnoor a další

Zdroj: Scientific Reports. 9/29/2025, Vol. 15 Issue 1, p1-14. 14p.

Témata: *ANEMIA, *LEUKEMIA, *RANDOM forest algorithms, *BLOOD cell count, *CLINICAL prediction rules, *GENERALIZABILITY theory, *MACHINE learning

Trend‐Based Predictive Maintenance and Fault Detection Analytics for Photovoltaic Power Plants.

Autoři: Marangis, Demetris Livera, Andreas Tziolis, Georgios a další

Zdroj: Solar RRL; Dec2024, Vol. 8 Issue 24, p1-10, 10p

Témata: PHOTOVOLTAIC power systems, SUPPORT vector machines, MACHINE learning, PHOTOVOLTAIC power generation, POWER plants, BOOSTING algorithms

Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm.

Autoři: Saranya, P. Asha, P.

Zdroj: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2023, Vol. 11 Issue 6, p2209-2225, 17p

Témata: METAHEURISTIC algorithms, BOOSTING algorithms, MACHINE learning, CANCER prognosis, LUNG cancer, PARTICLE swarm optimization, FEATURE selection, CERVICAL cancer

Geografický termín: WISCONSIN

Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings.

Autoři: Choi, Insu Kim, Woo Chang

Zdroj: Entropy; Jan2024, Vol. 26 Issue 1, p70, 26p

Témata: EXCHANGE traded funds, STOCK index futures, PRICES, BOOSTING algorithms, PRICE fluctuations, ENTROPY (Information theory)

An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG).

Autoři: Mandala, Satria Rizal, Ardian Adiwijaya a další

Zdroj: PLoS ONE; 4/9/2024, Vol. 19 Issue 4, p1-34, 34p

Témata: ARRHYTHMIA, BOOSTING algorithms, ATRIAL fibrillation, ELECTROCARDIOGRAPHY, FEATURE extraction

Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association.

Autoři: He, Zhenxin Li, Guoxu Wang, Zheng a další

Zdroj: Remote Sensing; Nov2024, Vol. 16 Issue 21, p4084, 24p

Témata: MACHINE learning, DATA mining, REMOTE sensing, BOOSTING algorithms, CLASSIFICATION, DEEP learning

Spectral Features Analysis for Print Quality Prediction in Additive Manufacturing: An Acoustics-Based Approach.

Autoři: Olowe, Michael Ogunsanya, Michael Best, Brian a další

Zdroj: Sensors (14248220); Aug2024, Vol. 24 Issue 15, p4864, 19p

Témata: MACHINE learning, FUSED deposition modeling, BOOSTING algorithms, FEATURE extraction, DIGITAL signal processing, DECISION trees, NAIVE Bayes classification

Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification

Autoři: Khan, Mohammad Zubair Li, David

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2411.18649