{"total":20,"rows":[{"id":"2206.07438","title":"Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview","created":"2022-06-15","cited_by_count":37,"area":null},{"id":"2108.10717","title":"Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence","created":"2021-08-20","cited_by_count":6,"area":null},{"id":"2111.06495","title":"FairAutoML: Embracing Unfairness Mitigation in AutoML","created":"2021-11-11","cited_by_count":6,"area":null},{"id":"2112.03395","title":"Manas: Mining Software Repositories to Assist AutoML","created":"2021-12-06","cited_by_count":5,"area":null},{"id":"2105.10368","title":"Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble Trees","created":"2021-05-21","cited_by_count":3,"area":null},{"id":"2210.10659","title":"Review of the state of the art in autonomous artificial intelligence","created":"2022-10-17","cited_by_count":3,"area":null},{"id":"2202.09927","title":"Mining Robust Default Configurations for Resource-constrained AutoML","created":"2022-02-20","cited_by_count":2,"area":null},{"id":"2102.08769","title":"Muddling Labels for Regularization, a novel approach to generalization","created":"2021-02-17","cited_by_count":1,"area":null},{"id":"2105.14372","title":"Ten Quick Tips for Deep Learning in Biology","created":"2021-05-29","cited_by_count":1,"area":null},{"id":"2409.16218","title":"Problem-oriented AutoML in Clustering","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2105.01196","title":"EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia","created":"2021-05-03","cited_by_count":0,"area":null},{"id":"2110.00415","title":"Optimization Networks for Integrated Machine Learning","created":"2021-09-01","cited_by_count":0,"area":null},{"id":"2207.12478","title":"Machine Learning to Predict the Antimicrobial Activity of Cold Atmospheric Plasma-Activated Liquids","created":"2022-07-25","cited_by_count":0,"area":null},{"id":"2208.11792","title":"A Survey of Open Source Automation Tools for Data Science Predictions","created":"2022-08-24","cited_by_count":0,"area":null},{"id":"2212.02704","title":"Benchmarking AutoML algorithms on a collection of synthetic classification problems","created":"2022-12-06","cited_by_count":0,"area":null},{"id":"2302.00731","title":"Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning","created":"2023-02-01","cited_by_count":0,"area":null},{"id":"2501.10848","title":"Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data","created":"2025-01-18","cited_by_count":0,"area":null},{"id":"2602.18348","title":"Explaining AutoClustering: Uncovering Meta-Feature Contribution in AutoML for Clustering","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2604.25154","title":"Model-Aware Data Cleaning for Tabular Foundation Models","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.21528","title":"A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction","created":"2026-05-19","cited_by_count":0,"area":null}],"next_cursor":null}