CatBoost: gradient boosting with categorical features support

24 October 2018

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

50 / 208 papers shown

Title
Machine learning based surrogate models for microchannel heat sink optimization Ante Sikirica L. Grbčić L. Kranjčević TPM AI4CE 34 42 0 20 Aug 2022
An Explainable Decision Support System for Predictive Process Analytics Riccardo Galanti M. Leoni M. Monaro Nicoló Navarin Alan Marazzi Brigida Di Stasi Stéphanie Maldera 81 28 0 26 Jul 2022
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring Jeroen Van Der Donckt Jonas Van Der Donckt Emiel Deprost N. Vandenbussche Michael Rademaker Gilles Vandewiele Sofie Van Hoecke 65 37 0 15 Jul 2022
Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset Franccois de la Bourdonnaye Fabrice Daniel 51 5 0 27 Jun 2022
Explainable expected goal models for performance analysis in football analytics Mustafa Cavus P. Biecek 55 15 0 14 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan O. Arik Jinsung Yoon Ankur Taly Soheil Feizi Tomas Pfister MoE 37 11 0 05 Jun 2022
Impact of the composition of feature extraction and class sampling in medicare fraud detection Akrity Kumari Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal 59 4 0 03 Jun 2022
Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods Abhishek Gupta Sarvesh Thustu Riti Thakor Saniya Patil Raunak Joshi Ronald Melvin Laban 31 2 0 02 Jun 2022
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs Vitaliy Bibaev Alexey Kalina Vadim Lomshakov Yaroslav Golubev A. Bezzubov Nikita Povarov T. Bryksin 44 10 0 21 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 83 149 0 19 May 2022
DNNR: Differential Nearest Neighbors Regression Youssef Nader Leon Sixt Tim Landgraf 389 14 0 17 May 2022
High Performance of Gradient Boosting in Binding Affinity Prediction Dmitrii Gavrilev Nurlybek Amangeldiuly Sergei Ivanov Evgeny Burnaev AI4CE 65 2 0 14 May 2022
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system Catharina Marie van Alen Alexander Brenner T. Warnecke Julian Varghese 13 0 0 12 May 2022
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion Stefan Borasinski Esin Yavuz Sébastien Béhuret EGVM 24 2 0 09 May 2022
Enabling Synthetic Data adoption in regulated domains Giorgio Visani Giacomo Graffi Mattia Alfero Enrico Bagli D. Capuzzo F. Chesani 131 7 0 13 Apr 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 97 260 0 10 Apr 2022
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data G. Tadesse William Ogallo C. Cintas Skyler Speakman 34 4 0 08 Mar 2022
Object-centric Process Predictive Analytics Riccardo Galanti M. Leoni Nicoló Navarin Alan Marazzi 51 25 0 05 Mar 2022
R-GCN: The R Could Stand for Random Vic Degraeve Gilles Vandewiele F. Ongenae Sofie Van Hoecke GNN 58 13 0 04 Mar 2022
Does Label Differential Privacy Prevent Label Inference Attacks? Ruihan Wu Jinfu Zhou Kilian Q. Weinberger Chuan Guo 43 16 0 25 Feb 2022
Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression Diksha Garg Pankaj Malhotra Anil Bhatia Sanjay Bhat Lovekesh Vig Gautam M. Shroff 80 0 0 25 Feb 2022
Counter Hate Speech in Social Media: A Survey Dana Alsagheer Hadi Mansourifar W. Shi 25 10 0 21 Feb 2022
Missing Data Infill with Automunge Nicholas J. Teague 65 3 0 19 Feb 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 55 1 0 18 Feb 2022
AnoMili: Spoofing Prevention and Explainable Anomaly Detection for the 1553 Military Avionic Bus Efrat Levy Nadav Maman A. Shabtai Yuval Elovici 43 15 0 14 Feb 2022
Similarity learning for wells based on logging data Evgenia Romanenkova Alina Rogulina A. Shakirov N. Stulov Alexey Zaytsev L. Ismailova D. Kovalev Klemens Katterbauer A. Alshehri 49 16 0 11 Feb 2022
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG Shayan Jawed Mofassir ul Islam Arif Ahmed Rashed Kiran Madhusudhanan Shereen Elsayed ... A. Volk Andre Hintsches Marlies Kornfeld Katrin Lange Lars Schmidt-Thieme 19 1 0 09 Feb 2022
Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health Mostafa Rezapour Scott K. Elmshaeuser 46 16 0 07 Feb 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 53 15 0 27 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 98 57 0 11 Jan 2022
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models S. Cho Hongjun Lim Keunchan Park S. Yoo Eunhyeok Park 18 4 0 29 Dec 2021
A machine learning analysis of the relationship between some underlying medical conditions and COVID-19 susceptibility Mostafa Rezapour Colin A. Varady 39 4 0 24 Dec 2021
Evaluating categorical encoding methods on a real credit card fraud detection database Franccois de la Bourdonnaye Fabrice Daniel 38 7 0 22 Dec 2021
A Machine Learning Analysis of Impact of the Covid-19 Pandemic on Alcohol Consumption Habit Changes Among Healthcare Workers in the U.S Mostafa Rezapour 29 0 0 12 Dec 2021
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion Yiheng Sun Tian Lu Cong Wang Yuan Li Huaiyu Fu Jingran Dong Y. Xu 73 2 0 04 Dec 2021
A Machine Learning Analysis of COVID-19 Mental Health Data Mostafa Rezapour Lucas Hansen 25 37 0 01 Dec 2021
Automated Supervised Feature Selection for Differentiated Patterns of Care C. Wanjiru William Ogallo G. Tadesse C. Wachira I. Mulang' Aisha Walcott-Bryant 51 4 0 05 Nov 2021
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree Tao Fan Weijing Chen Guoqiang Ma Yan Kang Lixin Fan Qiang Yang FedML 47 4 0 21 Oct 2021
Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture Mingxuan Lu Zhichao Han Zitao Zhang Yang Zhao Yinan Shan GNN 36 4 0 09 Oct 2021
Coresets for Decision Trees of Signals Ibrahim Jubran Ernesto Evgeniy Sanches Shayda I. Newman Dan Feldman 84 19 0 07 Oct 2021
WildWood: a new Random Forest algorithm Stéphane Gaïffas Ibrahim Merad Yiyang Yu 43 7 0 16 Sep 2021
Generalized XGBoost Method Yang Guang 23 4 0 15 Sep 2021
LEAF: Navigating Concept Drift in Cellular Networks Shinan Liu F. Bronzino Paul Schmitt A. Bhagoji Nick Feamster Héctor García Crespo Timothy T Coyle Brian Ward 60 12 0 07 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem Anton Vakhrushev A. Ryzhkov M. Savchenko Dmitry Simakov Rinchin Damdinov Alexander Tuzhilin 86 34 0 03 Sep 2021
To Boost or not to Boost: On the Limits of Boosted Neural Networks Sai Saketh Rambhatla Michael J. Jones Rama Chellappa 15 1 0 28 Jul 2021
Desiderata for Explainable AI in statistical production systems of the European Central Bank Carlos Navarro Georgios Kanellos Thomas Gottron 37 10 0 18 Jul 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 252 625 0 15 Jul 2021
What Image Features Boost Housing Market Predictions? Zona Kostic A. Jevremović 39 28 0 15 Jul 2021
A Convolutional Neural Network Approach to the Classification of Engineering Models Bharadwaj Manda Pranjal Bhaskare Ramanathan Muthuganapathy 47 26 0 14 Jul 2021
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis L. Grbčić Siniša Družeta G. Mauša T. Lipić Darija Vukić Lušić ... Daniela Kalafatovic Kristina Pikelj Hana Fajković Toni Holjević L. Kranjčević 24 52 0 07 Jul 2021