Tabular Data: Deep Learning is Not All You Need

6 June 2021

Papers citing "Tabular Data: Deep Learning is Not All You Need"

50 / 113 papers shown

Title
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 29 0 0 10 May 2025
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints Waldemar Hahn Jan-Niklas Eckardt Christoph Röllig Martin Sedlmayr J. Middeke M. Wolfien 42 0 0 08 May 2025
LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification Hongyi Li Jun Xu William Ward Armstrong 29 0 0 07 May 2025
Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling David Svensson Erik Hermansson N. Nikolaou Konstantinos Sechidis Ilya Lipkovich CML 61 0 0 02 May 2025
Do global forecasting models require frequent retraining? Marco Zanotti 42 0 0 01 May 2025
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction Saram Abbas Naeem Soomro R. Shafik Rakesh Heer Kabita Adhikari 59 0 0 30 Apr 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 66 0 0 29 Apr 2025
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 51 0 0 20 Apr 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 39 0 0 16 Apr 2025
Large Language Models as Attribution Regularizers for Efficient Model Training Davor Vukadin Marin Šilić Goran Delač 50 0 0 27 Feb 2025
Zero-Shot Decision Tree Construction via Large Language Models Lucas Carrasco Felipe Urrutia Andrés Abeliuk 68 0 0 28 Jan 2025
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff Freek Holvoet Katrien Antonio Roel Henckaerts 107 3 0 20 Jan 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 53 1 0 12 Jan 2025
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner Yitong Zhou Mingyue Cheng Qingyang Mao Qi Liu F. Xu Xin Li Enhong Chen LMTD 52 0 0 30 Dec 2024
ODTE -- An ensemble of multi-class SVM-based oblique decision trees Ricardo Montañana J. A. Gamez J. M. Puerta 75 0 0 20 Nov 2024
General Geospatial Inference with a Population Dynamics Foundation Model Mohit Agarwal Mimi Sun C. Kamath Arbaaz Muslim Prithul Sarker ... Niv Efron Yossi Matias Greg C. Corrado Krish Eswaran Shruthi Prabhakara AI4CE 51 2 0 11 Nov 2024
A Test of Time: Predicting the Sustainable Success of Online Collaboration in Wikipedia Abraham Israeli David Jurgens Daniel M. Romero 21 0 0 24 Oct 2024
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data Hugo Thimonier José Lucas De Melo Costa Fabrice Popineau Arpad Rimmel Bich-Liên Doan 64 1 0 07 Oct 2024
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios Pascal Kündig Fabio Sigrist 34 1 0 03 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 135 0 0 01 Oct 2024
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data A. Yarkın Yıldız Asli Kalayci LMTD 66 4 0 25 Sep 2024
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes Vikram Sudarshan Warren D. Seider 61 1 0 31 Aug 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration Hangting Ye Wei Fan Xiaozhuang Song Shun Zheng He Zhao Dandan Guo Yi Chang OOD 55 19 0 07 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 47 1 0 03 Jul 2024
Automatically Adaptive Conformal Risk Control Vincent Blot Anastasios Nikolas Angelopoulos Michael I Jordan Nicolas Brunel AI4CE 44 2 0 25 Jun 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Yaojie Hu Ilias Fountalis Jin Tian N. Vasiloglou LMTD 41 4 0 24 Jun 2024
Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes Jorge Paz-Ruza Alex A. Freitas Amparo Alonso-Betanzos B. Guijarro-Berdiñas 23 0 0 14 Jun 2024
Trustworthy Actionable Perturbations Jesse Friedbaum Sudarshan Adiga Ravi Tandon AAML 38 2 0 18 May 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 37 5 0 04 Apr 2024
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach Michael Potter M. Akçakaya Marius Necsoiu G. Schirner Deniz Erdogmus Tales Imbiriba 33 2 0 28 Feb 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 57 66 0 27 Feb 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 62 13 0 26 Feb 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 49 15 0 22 Feb 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants Abdoulaye Sakho Emmanuel Malherbe Erwan Scornet 30 2 0 06 Feb 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data Wei-Yao Wang Wei-Wei Du Derek Xu Wei Wang Wenjie Peng LMTD 50 7 0 02 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 40 1 0 17 Jan 2024
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance? Michael L. Potter Miru D. Jun 17 0 0 16 Dec 2023
Event-Based Contrastive Learning for Medical Time Series Hyewon Jeong Nassim Oufattole Matthew B. A. McDermott Aparna Balagopalan P. Chandak Marzyeh Ghassemi Collin M. Stultz 34 4 0 16 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 48 30 0 07 Dec 2023
Incorporating LLM Priors into Tabular Learners Max Zhu Sinivsa Stanivuk Andrija Petrović Mladen Nikolic Pietro Lio 10 1 0 20 Nov 2023
Target Variable Engineering Jessica Clark 40 0 0 13 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 38 0 0 10 Oct 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 30 1 0 01 Sep 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 42 1 0 28 Jul 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees Aleksei G. Sorokin Xinran Zhu E. Lee Bolong Cheng 30 3 0 10 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 32 8 0 05 Jul 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Kenta Oono Nontawat Charoenphakdee K. Bito Zhengyan Gao Yoshiaki Ota ... Kohei Hayashi Yuki Saito Koki Tsuda Hiroshi Maruyama K. Hayashi 43 1 0 19 Jun 2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes Francesco Daghero Luca Bompani Enrico Macii P. Montuschi M. Poncino Daniele Jahier Pagliari 31 5 0 16 Jun 2023