A Random Forest Guided Tour

18 November 2015

Papers citing "A Random Forest Guided Tour"

50 / 200 papers shown

Title
Orbit Determination through Cosmic Microwave Background Radiation Pedro K de Albuquerque A. R. Kuroswiski Annie S Wu Willer G. dos Santos Paulo Costa 34 0 0 03 Apr 2025
Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding Lilin Xu Kaiyuan Hou Xiaofan Jiang 29 1 0 02 Apr 2025
Examining the Mental Health Impact of Misinformation on Social Media Using a Hybrid Transformer-Based Approach Sarvesh Arora Sarthak Arora Deepika Kumar Vallari Agrawal Vedika Gupta Dipit Vasdev 35 0 0 04 Mar 2025
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification Anyimadu Daniel Tweneboah Suleiman Taofik Ahmed Hossain Mohammad Imran 68 0 0 26 Feb 2025
Coarsened confounding for causal effects: a large-sample framework Debashis Ghosh Lei Wang CML 31 0 0 06 Jan 2025
Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification Abu Bakar Siddik Faisal R. Badal Afroza Islam 61 0 0 03 Dec 2024
Global Censored Quantile Random Forest Siyu Zhou Limin Peng 21 0 0 16 Oct 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI Navneet Kaur Lav Gupta 25 0 0 04 Oct 2024
Nonparametric IPSS: Fast, flexible feature selection with false discovery control Omar Melikechi David B. Dunson Jeffrey W. Miller 144 0 0 03 Oct 2024
Multi-Task Combinatorial Bandits for Budget Allocation Lin Ge Yang Xu Jianing Chu David Cramer Fuhong Li Kelly Paulson Rui Song 30 0 0 31 Aug 2024
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles Youssouf Emine Alexandre Forel Idriss Malek Thibaut Vidal 39 0 0 28 Aug 2024
Simplifying Random Forests' Probabilistic Forecasts Nils Koster Fabian Kruger UQCV 24 2 0 22 Aug 2024
Open Set Recognition for Random Forest Guanchao Feng Dhruv Desai Stefano Pasquali Dhagash Mehta BDL 19 4 0 01 Aug 2024
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 40 2 0 17 Jul 2024
A simplified directional KeRF algorithm Iakovidis Isidoros Nicola Arcozzi 22 0 0 04 Jul 2024
SimClone: Detecting Tabular Data Clones using Value Similarity Xu Yang Gopi Krishnan Rajbahadur Dayi Lin Shaowei Wang Zhen Ming Jiang 25 1 0 24 Jun 2024
Hidden Variables unseen by Random Forests Ricardo Blum M. Hiabu E. Mammen J. T. Meyer 41 0 0 19 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin Niki van Stein Carola Doerr T. Eftimov 46 1 0 08 Jun 2024
Occam Gradient Descent B. N. Kausik ODL VLM 32 0 0 30 May 2024
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms Hao Hao Xiaoqun Zhang Bingdong Li Aimin Zhou 33 6 0 26 May 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 19 0 0 23 May 2024
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks Ana Nikolikj Ana Kostovska Diederick Vermetten Carola Doerr T. Eftimov 37 3 0 20 May 2024
Audio-Visual Traffic Light State Detection for Urban Robots Sagar Gupta Akansel Cosgun 16 0 0 30 Apr 2024
Physical formula enhanced multi-task learning for pharmacokinetics prediction Ruifeng Li Dongzhan Zhou Ancheng Shen Ao Zhang Mao Su ... Gang Chen Yin Zhang Shufei Zhang Yuqiang Li Wanli Ouyang 19 2 0 16 Apr 2024
Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database Trapti Shrivastava Harshal Chaudhari Vrijendra Singh 24 2 0 02 Apr 2024
Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models Haddouchi Maissae Berrado Abdelaziz 30 0 0 26 Mar 2024
Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs! Huanqi Yang Sijie Ji Rucheng Wu Weitao Xu 27 3 0 10 Mar 2024
Grafting: Making Random Forests Consistent Nicholas Waltz 22 1 0 09 Mar 2024
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers? Sijie Ji Xinzhe Zheng Chenshu Wu 44 29 0 05 Mar 2024
An Evaluation of Large Language Models in Bioinformatics Research Hengchuang Yin Zhonghui Gu Fanhao Wang Yiparemu Abuduhaibaier Yanqiao Zhu Xinming Tu Xian-Sheng Hua Xiao Luo Yizhou Sun LM&MA 38 8 0 21 Feb 2024
An Interference-aware Approach for Co-located Container Orchestration with Novel Metric Xiang Li Linfeng Wen Minxian Xu Kejiang Ye 6 0 0 14 Feb 2024
GPT-4 Generated Narratives of Life Events using a Structured Narrative Prompt: A Validation Study Christopher J. Lynch Erik J. Jensen Madison H. Munro Virginia Zamponi Joseph Martinez Kevin O'Brien Brandon Feldhaus Katherine Smith Ann Marie Reinhold Ross Gore 27 2 0 08 Feb 2024
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers Alicia Curth Alan Jeffares M. Schaar UQCV 39 11 0 02 Feb 2024
Assessing Patient Eligibility for Inspire Therapy through Machine Learning and Deep Learning Models Mohsena Chowdhury Tejas Vyas Rahul Alapati A. Bur Guanghui Wang 11 0 0 01 Feb 2024
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting Hao Li Gopi Krishnan Rajbahadur Dayi Lin C. Bezemer Zhen Ming Jiang Jiang 20 24 0 18 Jan 2024
Analyzing Brain Activity During Learning Tasks with EEG and Machine Learning Ryan Cho Mobasshira Zaman Kyu Taek Cho Jaejin Hwang 13 0 0 15 Jan 2024
Meta-forests: Domain generalization on random forests with meta-learning Yuyang Sun Panagiotis Kosmas 35 1 0 09 Jan 2024
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis Mohammad Hasan Mohammad Shahriar Rahman Helge Janicke Iqbal H. Sarker 24 23 0 07 Jan 2024
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360 Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong 9 4 0 19 Dec 2023
Skew Probabilistic Neural Networks for Learning from Imbalanced Data Shraddha M. Naik Tanujit Chakraborty Abdenour Hadid Bibhas Chakraborty 24 0 0 10 Dec 2023
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start Jie Shi A. Siebes S. Mehrkanoon 32 0 0 30 Nov 2023
From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery Mario Boley Felix Luong Simon Teshuva Daniel F. Schmidt L. Foppa Matthias Scheffler 15 0 0 27 Nov 2023
Machine Learning For An Explainable Cost Prediction of Medical Insurance U. Orji Elochukwu A. Ukwandu 26 31 0 23 Nov 2023
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection David G. Black Declan Byrne A. Walke Sidong Liu A. Di Ieva S. Kaneko Walter Stummer Septimiu Salcudean E. Molina 19 6 0 17 Nov 2023
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis Kexin Chen Junyou Li Kunyi Wang Yuyang Du Jiahui Yu ... Jianzhang Pan Yi Huang Qun Fang Pheng Ann Heng Guangyong Chen 34 9 0 16 Nov 2023
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals Yan Wang Huaiqing Wu Dan Nettleton 19 9 0 28 Oct 2023
Landslide Topology Uncovers Failure Movements Kamal Rana Kushanav Bhuyan Joaquin Vicente Ferrer Fabrice Cotton U. Öztürk Filippo Catani Nishant Malik AI4CE 27 11 0 14 Oct 2023
Improved convergence rates for some kernel random forest algorithms I. Iakovidis Nicola Arcozzi 22 1 0 10 Oct 2023
Analyzing Key Users' behavior trends in Volunteer-Based Networks Nofar Piterman Tamar Makov Michael Fire 13 0 0 04 Oct 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems Yiming Li Daling Wang Wenfang Wu Shi Feng Yifei Zhang CML 40 1 0 28 Sep 2023