Understanding Random Forests: From Theory to Practice

28 July 2014

Papers citing "Understanding Random Forests: From Theory to Practice"

50 / 86 papers shown

Title
Why risk matters for protein binder design Tudor-Stefan Cotet Igor Krawczuk 46 0 0 31 Mar 2025
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation A. Atienza G. Manimaran S. Puthusserypady Helena Domínguez Peter K. Jacobsen J. Bardram 58 0 0 04 Mar 2025
Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data Buddhadev Goswami Adithya B. Somaraj Prantar Chakrabarti Ravindra Gudi Nirmal Punjabi 67 0 0 23 Nov 2024
What makes a good BIM design: quantitative linking between design behavior and quality Xiang Ni Peng Pan Jia-Rui Lin AI4CE 26 0 0 14 Nov 2024
Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot Herman Lassche Michiel Overeem Ayushi Rastogi 45 0 0 29 Oct 2024
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest Shurong Wang Zhuoyang Shen Xinbao Qiao Tongning Zhang Meng Zhang MU 26 0 0 02 Oct 2024
Large Language Model Agent in Financial Trading: A Survey Han Ding Yinheng Li Junhao Wang Hang Chen LLMAG AIFin 39 14 0 26 Jul 2024
ShapG: new feature importance method based on the Shapley value Chi Zhao Jing Liu Elena Parilina FAtt 137 4 0 29 Jun 2024
Regression Trees Know Calculus Nathan Wycoff 31 0 0 22 May 2024
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersections D. Selvaraj Christian Vitale T. Panayiotou P. Kolios Carla-Fabiana Chiasserini Georgios Ellinas 30 5 0 22 Apr 2024
Applying ranking techniques for estimating influence of Earth variables on temperature forecast error M. J. Flores Melissa Ruiz-Vásquez Ana Bastos René Orth 19 0 0 12 Mar 2024
Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection Zhenglin Li Haibei Zhu Houze Liu Jintong Song Qishuo Cheng 45 15 0 04 Mar 2024
Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning A. Al-lahham Obaidah Theeb Khaled Elalem Tariq A. Alshawi Saleh A. Alshebeili 13 38 0 26 Oct 2023
HybridChain: Fast, Accurate, and Secure Transaction Processing with Distributed Learning Amirhossein Taherpour Xiaodong Wang 29 4 0 13 Oct 2023
BehaVR: User Identification Based on VR Sensor Data Ismat Jarin Yu Duan R. Trimananda Hao Cui Salma Elmalaki A. Markopoulou 34 3 0 14 Aug 2023
QUANT: A Minimalist Interval Method for Time Series Classification Angus Dempster Daniel F. Schmidt Geoffrey I. Webb AI4TS 19 9 0 02 Aug 2023
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning Haoze Wu Christopher Hahn Florian Lonsing Makai Mann R. Ramanujan Clark W. Barrett OffRL LRM 34 1 0 18 May 2023
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression Yannick Gerstorfer Lena Krieg Max Hahn-Klimroth 13 5 0 02 Mar 2023
Enhancing E-Commerce Recommendation using Pre-Trained Language Model and Fine-Tuning Nuofan Xu Chenhui Hu 13 2 0 09 Feb 2023
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 14 4 0 01 Dec 2022
Ground Truth Inference for Weakly Supervised Entity Matching Renzhi Wu Alexander Bendeck Xu Chu Yeye He 23 8 0 13 Nov 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions Thong Nguyen Xiaobao Wu A. Luu Cong-Duy Nguyen Zhen Hai Lidong Bing 34 13 0 07 Nov 2022
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored Wouter Haverals M. Kestemont 14 4 0 25 Oct 2022
Improving aircraft performance using machine learning: a review S. L. Clainche E. Ferrer Sam Gibson Elisabeth Cross A. Parente Ricardo Vinuesa AI4CE 31 93 0 20 Oct 2022
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification M. Matha Karsten Kucharczyk C. Morsbach OOD AI4CE 9 10 0 29 Sep 2022
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects S. Lake Chao-Wei Tsai 16 3 0 07 Jul 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 35 84 0 13 Apr 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization Jungtaek Kim Seungjin Choi 26 5 0 22 Feb 2022
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? I. Ward Ling Wang Juan Lu M. Bennamoun Girish Dwivedi Frank M. Sanfilippo 11 34 0 25 Dec 2021
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure Heming Yao H. Derksen J. Golbus Justin Zhang K. Aaronson Jonathan Gryak Kayvan Najarian 12 4 0 09 Dec 2021
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests Sekouba Kaba Benjamin Groleau-Paré Marc-Antoine Gauthier A. Tremblay S. Verret C. Gauvin-Ndiaye AI4CE 8 10 0 29 Nov 2021
Label Ranking through Nonparametric Regression Dimitris Fotakis Alkis Kalavasis Eleni Psaroudaki 14 5 0 04 Nov 2021
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera Gilles Louppe V. A. Huynh-Thu L. Wehenkel Pierre Geurts FAtt 29 7 0 03 Nov 2021
Simplest Streaming Trees Haoyin Xu Jayanta Dey Sambit Panda Joshua T. Vogelstein 21 0 0 16 Oct 2021
Multi-class Probabilistic Bounds for Self-learning Vasilii Feofanov Emilie Devijver Massih-Reza Amini 27 3 0 29 Sep 2021
WildWood: a new Random Forest algorithm Stéphane Gaïffas Ibrahim Merad Yiyang Yu 17 7 0 16 Sep 2021
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization Eva Bartz Martin Zaefferer Olaf Mersmann T. Bartz-Beielstein 11 2 0 19 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction Jiahua Rao Shuangjia Zheng Yuedong Yang 21 46 0 01 Jul 2021
Classification algorithms applied to structure formation simulations Jazhiel Chacón J. A. Vázquez E. Almaraz AI4CE 16 6 0 11 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 30 32 0 25 May 2021
Algorithm-Agnostic Explainability for Unsupervised Clustering Charles A. Ellis M. Sendi Eloy P. T. Geenjaar Sergey Plis Robyn L. Miller Vince D. Calhoun 10 24 0 17 May 2021
Large Scale Prediction with Decision Trees Jason M. Klusowski Peter M. Tian 18 42 0 28 Apr 2021
Machine learning-assisted surrogate construction for full-core fuel performance analysis Yifeng Che J. Yurko K. Shirvan 6 9 0 17 Apr 2021
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA Clément Bénard Sébastien Da Veiga Erwan Scornet 47 49 0 26 Feb 2021
A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data Chenfeng Xiong Aref Darzi Yixuan Pan Sepehr Ghader Lei Zhang 9 1 0 08 Dec 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 17 2 0 10 Nov 2020
Nonparametric Variable Screening with Optimal Decision Stumps Jason M. Klusowski Peter M. Tian 31 5 0 05 Nov 2020
Out-Of-Bag Anomaly Detection Egor Klevak Sangdi Lin Andrea Martin O. Linda Eric K. Ringger OODD 11 0 0 20 Sep 2020
Exoplanet Validation with Machine Learning: 50 new validated Kepler planets David J Armstrong Jevgenij Gamper Theodoros Damoulas 14 25 0 24 Aug 2020
To Bag is to Prune Philippe Goulet Coulombe UQCV 12 10 0 17 Aug 2020