A Comparative Analysis of XGBoost

5 November 2019

Papers citing "A Comparative Analysis of XGBoost"

50 / 59 papers shown

Title
Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models Mehdi Neshat M. Thilakaratne Mohammed El-Abd Seyedali Mirjalili Amir Gandomi John Boland 78 0 0 13 Jun 2025
AI-based modular warning machine for risk identification in proximity healthcare Chiara Razzetta Shahryar Noei Federico Barbarossa Edoardo Spairani Monica Roascio ... A. Massone F. Benvenuto Giuseppe Jurman Diego Sona C. Campi 10 0 0 13 Jun 2025
Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning Gyaneshwar Agrahari Kiran Bist Monika Pandey Jacob Kapita Zachary James Jackson Knox Steven Heymsfield Sophia Ramirez Peter Wolenski Nadejda Drenska 5 0 0 08 Jun 2025
Re-experiment Smart: a Novel Method to Enhance Data-driven Prediction of Mechanical Properties of Epoxy Polymers Wanshan Cui Yejin Jeong Inwook Song Gyuri Kim Minsang Kwon Donghun Lee 15 0 0 19 May 2025
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction Julia Bringewald 27 0 0 06 May 2025
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications Ning Xin Jionglong Su Md Maruf Hasan AI4TS 121 0 0 18 Apr 2025
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum Cyrus Malik Josef Bajada Joshua Ellul 161 0 0 21 Mar 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization Anay Majee Maria Xenochristou Wei-Peng Chen LMTD 78 1 0 26 Feb 2025
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning Jiang Chang Deekshith Basvoju Aleksandar Vakanski Indrajit Charit Min Xian AI4CE 113 0 0 28 Jan 2025
Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production Cornelius Hake Jonas Weigele Frederik Reichert Christian Friedrich 48 0 0 13 Jan 2025
An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomes Yang Yan Zhong Chen Cai Xu Xinglei Shen Jay Shiao John Einck Ronald C Chen Hao Gao AI4CE 43 0 0 16 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting Changyuan Zhao Hongyang Du Guangyuan Liu Dusit Niyato DiffM 91 0 0 02 Nov 2024
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn Markelle Kelly Sameer Singh Padhraic Smyth 85 2 0 31 Oct 2024
DMTG: A Human-Like Mouse Trajectory Generation Bot Based on Entropy-Controlled Diffusion Networks Jiahua Liu Zeyuan Cui Wenhan Ge Pengxiang Zhan AAML 48 0 0 23 Oct 2024
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD) Tashfain Ahmed Josh Siegel 48 1 0 18 Sep 2024
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects Mattias Tiger Daniel Jakobsson Anders Ynnerman Fredrik Heintz Daniel Jonsson 53 0 0 05 Sep 2024
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets Assaf Shmuel Oren Glickman Teddy Lazebnik LMTD 67 7 0 27 Aug 2024
A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification Muhammad Arslan Muhammad Mubeen Arslan Akram S. Abbasi Muhammad Salman Ali Muhammad Usman Tariq 20 5 0 15 Aug 2024
Integrating White and Black Box Techniques for Interpretable Machine Learning E. Vernon Naoki Masuyama Yusuke Nojima 48 2 0 12 Jul 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 59 0 0 28 Jun 2024
SimClone: Detecting Tabular Data Clones using Value Similarity Xu Yang Gopi Krishnan Rajbahadur Dayi Lin Shaowei Wang Zhen Ming Jiang 70 1 0 24 Jun 2024
Classification Modeling with RNN-Based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets Deri Siswara A. M. Soleh A. Wigena 129 1 0 12 Jun 2024
Interpretable classification of wiki-review streams Silvia García-Méndez Fátima Leal Benedita Malheiro J. C. Burguillo-Rial KELM 50 0 0 28 May 2024
Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines Erika Lynet Salvador 24 0 0 28 May 2024
Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors Evgeny Kozinov Evgeny Vasiliev Andrey Gorshkov V. Kustikova Artem Maklaev V. Volokitin I. Meyerov 68 1 0 17 May 2024
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures Jorge Martínez Gil 60 5 0 03 May 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 65 0 0 03 May 2024
Exploring Speech Pattern Disorders in Autism using Machine Learning Chuanbo Hu Jacob Thrasher Wenqi Li Mindi Ruan Xiangxu Yu Lynn K Paul Shuo Wang Xin Li 20 4 0 03 May 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 56 1 0 29 Apr 2024
Optimizing BioTac Simulation for Realistic Tactile Perception W. Z. E. Amri Nicolás Navarro 70 2 0 16 Apr 2024
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach José Bobes-Bascarán E. Mosqueira-Rey Á. Fernández-Leal Elena Hernández-Pereira David Alonso-Ríos V. Moret-Bonillo Israel Figueirido-Arnoso Y. Vidal-Ínsua ELM 72 0 0 28 Mar 2024
Leveraging graph neural networks for supporting Automatic Triage of Patients Anna M DeFilippo Pierangelo Veltri Pietro Lio' P. H. Guzzi 51 8 0 11 Mar 2024
Overview of AdaBoost : Reconciling its views to better understand its dynamics Perceval Beja-Battais 27 7 0 06 Oct 2023
Smart OMVI: Obfuscated Malware Variant Identification using a novel dataset Suleman Qamar AAML 16 0 0 24 Sep 2023
A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters Debsundar Dey Suchandan Das Anik Pal Santanu Dey Chandan Kumar Raul Arghya Chatterjee AI4CE 17 0 0 02 Sep 2023
Digital elevation model correction in urban areas using extreme gradient boosting, land cover and terrain parameters C. Okolie J. Mills A. Adeleke Julian Smit 11 0 0 12 Aug 2023
Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM Banghee So 31 13 0 15 Jul 2023
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments Mollik Nayyar Ghanghoon Paik Zhenyuan Yuan Tongjia Zheng Minghui Zhu Hai Lin Alan R. Wagner 16 3 0 30 Jun 2023
Early Malware Detection and Next-Action Prediction Zahra Jamadi A. Aghdam 37 1 0 09 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 95 8 0 28 May 2023
Benchmarking state-of-the-art gradient boosting algorithms for classification Piotr Florek Adam Zagdañski 50 13 0 26 May 2023
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation A. Khan Omkar Chaudhari Rohitash Chandra 106 195 0 06 Apr 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models A. Konstantinov Lev V. Utkin 103 3 0 15 Mar 2023
Embeddings for Tabular Data: A Survey Rajat Singh Srikanta J. Bedathur LMTD 57 2 0 23 Feb 2023
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 48 6 0 22 Feb 2023
GWRBoost:A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships Han Wang Zhou Huang Ganmin Yin Yihang Bao Xiao Zhou Yong Gao 13 0 0 12 Dec 2022
Condensed Gradient Boosting S. Emami Gonzalo Martínez-Munoz 48 4 0 26 Nov 2022
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data S.M. Towhidul Islam Tonmoy S. M. Mehedi 49 3 0 25 Nov 2022
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 74 31 0 03 Nov 2022
A Data-driven Case-based Reasoning in Bankruptcy Prediction Wei Li Wolfgang Karl Härdle Stefan Lessmann 30 3 0 02 Nov 2022