CatBoost: gradient boosting with categorical features support

24 October 2018

Papers citing "CatBoost: gradient boosting with categorical features support"

50 / 208 papers shown

Title
DELPHYNE: A Pre-Trained Model for General and Financial Time Series Xueying Ding Aakriti Mittal Achintya Gopal AI4TS 12 0 0 12 May 2025
EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting Leyi Yan Linda Wang Sihang Liu Yi Ding 514 1 0 04 May 2025
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks Nayoung Lee Minsoo Shin Asel Sagingalieva Ayush Joshi Tripathi Karan Pinto Alexey A. Melnikov AI4CE 66 1 0 16 Apr 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 63 0 0 16 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network Ali Eslamian Alireza Afzal Aghaei Qiang Cheng LMTD 165 0 0 09 Apr 2025
Actuarial Learning for Pension Fund Mortality Forecasting E. Melo Helton Graziadei Rodrigo S. Targino 46 0 0 08 Apr 2025
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 110 0 0 03 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
HyConEx: Hypernetwork classifier with counterfactual explanations Patryk Marszałek Ulvi Movsum-zada Oleksii Furman Kamil Ksiazek Przemysław Spurek Marek Śmieja 75 0 0 16 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 91 0 0 10 Mar 2025
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings Melanie Schaller Bodo Rosenhahn 65 0 0 28 Feb 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 196 0 0 27 Feb 2025
Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha Sonalika Subudhi Alok Kumar Pati Sephali Bose Subhasmita Sahoo Avipsa Pattanaik Biswa Mohan Acharya 69 1 0 25 Feb 2025
High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture Haoyi Tan Yukun Teng Guangcun Shan 41 0 0 14 Feb 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 512 1 0 10 Feb 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 255 15 0 08 Feb 2025
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 70 0 0 03 Feb 2025
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Ramtin Zargari Marandi Anne Svane Frahm Jens Lundgren Daniel Dawson Murray Maja Milojevic 68 0 0 08 Jan 2025
Comparative Performance of Machine Learning Algorithms for Early Genetic Disorder and Subclass Classification Abu Bakar Siddik Faisal R. Badal Afroza Islam 73 0 0 03 Dec 2024
Predicting ionic conductivity in solids from the machine-learned potential energy landscape Artem Maevskiy Alexandra Carvalho Emil Sataev Volha Turchyna Keian Noori Aleksandr Rodin A. H. Castro Neto Andrey E. Ustyuzhanin 133 0 0 11 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 82 0 0 05 Nov 2024
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers Gjergji Kasneci Enkelejda Kasneci LMTD 106 2 0 03 Nov 2024
Forecasting Mortality in the Middle-Aged and Older Population of England: A 1D-CNN Approach Marjan Qazvini 56 0 0 01 Nov 2024
Inherently Interpretable Tree Ensemble Learning Zebin Yang Agus Sudjianto Xiaoming Li Aijun Zhang AI4CE 61 0 0 24 Oct 2024
A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia Abraham Israeli David Jurgens Daniel M. Romero 41 0 0 24 Oct 2024
DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR Miguel Contreras Sumit Kapoor Jiaqing Zhang Andrea Davidson Yuanfang Ren Ziyuan Guan T. Ozrazgat-Baslanti Subhash Nerella A. Bihorac Parisa Rashidi 80 3 0 22 Oct 2024
Optimizing Hard-to-Place Kidney Allocation: A Machine Learning Approach to Center Ranking Sean Berry Berk Görgülü Sait Tunc Mucahit Cevik Matthew J Ellis 26 0 0 10 Oct 2024
Scalable Representation Learning for Multimodal Tabular Transactions Natraj Raman Sumitra Ganesh Manuela Veloso LMTD 52 1 0 10 Oct 2024
Conformal Prediction for Dose-Response Models with Continuous Treatments Jarne Verhaeghe Jef Jonkers Sofie Van Hoecke 58 0 0 30 Sep 2024
Recent advances in interpretable machine learning using structure-based protein representations L. Vecchietti Minji Lee Begench Hangeldiyev Hyunkyu Jung Hahnbeom Park Tae-Kyun Kim Meeyoung Cha Ho Min Kim AI4CE 117 1 0 26 Sep 2024
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study Petr Philonenko S. Postovalov 55 0 0 12 Sep 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data Valentin Margraf Marcel Wever Sandra Gilhuber Gabriel Marques Tavares Thomas Seidl Eyke Hüllermeier 103 3 0 25 Jun 2024
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques Samita Bai Sidra Nasir Rizwan Ahmed Khan Sheeraz Arif Alexandre Meyer H. Konik 77 5 0 01 Jun 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 63 1 0 17 May 2024
Gradient Boosted Filters For Signal Processing Jose A. Lopez Georg Stemmer Héctor A. Cordourier 36 0 0 15 May 2024
Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration Hans Jarett J. Ong Brian Godwin S. Lim Renzo Roel P. Tan Kazushi Ikeda CML 106 0 0 18 Apr 2024
ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights Bachana Anasashvili Vahidin Jeleskovic 81 0 0 13 Apr 2024
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization Danish Gufran Saideep Tiku S. Pasricha 51 10 0 03 Mar 2024
ClickTree: A Tree-based Method for Predicting Math Students' Performance Based on Clickstream Data Narjes Rohani Behnam Rohani A. Manataki 35 1 0 01 Mar 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 142 21 0 26 Feb 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining Fanjin Zhang Shijie Shi Yifan Zhu Bo Chen Yukuo Cen ... Huihui Yuan Jian Song Xiaoyan Li Yuxiao Dong Jie Tang 95 20 0 24 Feb 2024
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence J. R. Rico-Juan Víctor M. Sánchez-Cartagena J. J. Valero-Mas Antonio Javier Gallego 115 3 0 29 Jan 2024
LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method I. Madakkatel Elina Hyppönen FAtt 37 4 0 23 Jan 2024
SeqNAS: Neural Architecture Search for Event Sequence Classification Igor Udovichenko Egor Shvetsov Denis Divitsky Dmitry Osin I. Trofimov Anatoliy Glushenko I. Sukharev Dmitry Berestnev Evgeny Burnaev 68 8 0 06 Jan 2024
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective Din-Yin Hsieh ChiHua Wang Guang Cheng AI4TS 77 5 0 01 Jan 2024
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions Sankalp Gilda 46 2 0 21 Dec 2023
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 89 38 0 11 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 71 45 0 10 Dec 2023
Adversarial Learning for Feature Shift Detection and Correction Míriam Barrabés D. M. Montserrat Margarita Geleta Xavier Giró-i-Nieto A. Ioannidis OOD 73 4 0 07 Dec 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 94 2 0 24 Nov 2023