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1810.11363
Cited By
CatBoost: gradient boosting with categorical features support
24 October 2018
Anna Veronika Dorogush
Vasily Ershov
Andrey Gulin
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Papers citing
"CatBoost: gradient boosting with categorical features support"
50 / 208 papers shown
Title
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Age Group Discrimination via Free Handwriting Indicators
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Francesca Lunardini
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Ting Yao
Tiejun Zhao
Tao Mei
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Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
Banghee So
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Performance Modeling of Data Storage Systems using Generative Models
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Artem Sergeevich Ryzhikov
M. Hushchyn
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Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
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Tianze Zhang
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XTab: Cross-table Pretraining for Tabular Transformers
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Effects of data time lag in a decision-making system using machine learning for pork price prediction
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Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS
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Multimodal Earable Sensing for Human Energy Expenditure Estimation
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Darshana Sandaruwan
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I. Fernini
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A. Hussain
73
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Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data
Omer Noy
R. Shamir
24
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16 Apr 2023
Correcting Model Misspecification via Generative Adversarial Networks
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Manasi V Gude
Rajvi J Sampat
Sharvari M Hedaoo
S. Dhavala
Snehanshu Saha
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Omkar Chaudhari
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LEURN: Learning Explainable Univariate Rules with Neural Networks
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Effectively Modeling Time Series with Simple Discrete State Spaces
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Khaled Kamal Saab
Michael Poli
Tri Dao
Karan Goel
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Interpretable Ensembles of Hyper-Rectangles as Base Models
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Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
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M. Rosa
Artem Polyvyanyy
Mahmoud Shoush
Irene Teinemaa
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28
10
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07 Mar 2023
Embeddings for Tabular Data: A Survey
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57
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23 Feb 2023
Black-Box Batch Active Learning for Regression
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64
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On marginal feature attributions of tree-based models
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Konstandinos Kotsiopoulos
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57
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16 Feb 2023
Rehabilitating Homeless: Dataset and Key Insights
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23
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09 Feb 2023
Rover: An online Spark SQL tuning service via generalized transfer learning
Yu Shen
Xinyuyang Ren
Yupeng Lu
Huaijun Jiang
Huanyong Xu
Di Peng
Yang Li
Wentao Zhang
Tengjiao Wang
69
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08 Feb 2023
A Robust Hypothesis Test for Tree Ensemble Pruning
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Michael R. Kosorok
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24 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
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S. K. Shyn
Kwang-su Kim
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54
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16 Jan 2023
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
M. T. Isyapar
Ufuk Uyan
Mahiye Uluyagmur Öztürk
46
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Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
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Zhenming Liu
Jun Luo
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Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
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Arbitrarily Large Labelled Random Satisfiability Formulas for Machine Learning Training
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21 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
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Antoine Cully
Yves-Alexandre de Montjoye
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68
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09 Nov 2022
Performance and utility trade-off in interpretable sleep staging
Irfan Al-Hussaini
Cassie S. Mitchell
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Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
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Ronnie Cley de Oliveira Alves
43
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Generalization Properties of Decision Trees on Real-valued and Categorical Features
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145
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Multi-Target XGBoostLSS Regression
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63
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A copula-based boosting model for time-to-event prediction with dependent censoring
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R. D. Bin
A. Huseby
32
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Federated Boosted Decision Trees with Differential Privacy
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Graham Cormode
Tianhao Wang
Carsten Maple
S. Jha
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OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
184
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Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
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Beno Šircelj
Jože M. Rožanec
B. Fortuna
Dunja Mladenić
13
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Automatic Identification and Classification of Share Buybacks and their Effect on Short-, Mid- and Long-Term Returns
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11
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NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing
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Pengfei Zhao
Xun Jiao
69
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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
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Yinghao Zhu
Wenqing Wang
Yasha Wang
Wen Tang
Ewen M. Harrison
Liantao Ma
OOD
84
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Applying Machine Learning to Life Insurance: some knowledge sharing to master it
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L. Bradier
Antoine Ly
R. Ionescu
Laurene Martin
Marguerite Sauce
44
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Long-term hail risk assessment with deep neural networks
Ivan Lukyanenko
Mikhail Mozikov
Yury Maximov
L. Laboratory
13
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