Lista de obras - Joaquin Vanschoren - Dominio Público Uruguay

A Community-Based Platform for Machine Learning Experimentation

scholarly article by Joaquin Vanschoren & Hendrik Blockeel published 2009 in Lecture Notes in Computer Science

A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

artículo científico publicado en 2021

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

artículo científico publicado en 2019

A survey of intelligent assistants for data analysis

article by Floarea Serban et al published 1 June 2013 in ACM Computing Surveys

ASlib: A benchmark library for algorithm selection

Adaptation Strategies for Automated Machine Learning on Evolving Data

artículo científico publicado en 2021

AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models

artículo científico publicado en 2022

Algorithm Selection on Data Streams

artículo científico publicado en 2014

Anticipating habit formation

Beyond Bag-of-Concepts: Vectors of Locally Aggregated Concepts

artículo científico publicado en 2020

Croissant: A Metadata Format for ML-Ready Datasets

artículo científico publicado en 2024

Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approach

artículo científico publicado en 2015

Effectiveness of Random Search in SVM hyper-parameter tuning

Experiment Databases

artículo científico publicado en 2010

Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning

scholarly article published in Lecture Notes in Computer Science

Experiment databases

Fast Algorithm Selection Using Learning Curves

artículo científico publicado en 2015

GAMA: Genetic Automated Machine learning Assistant

artículo científico publicado en 2019

Guest editors’ introduction to the special issue on Discovery Science

artículo científico publicado en 2020

Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams

artículo científico publicado en 2015

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm

Interpretable Assessment of ST-Segment Deviation in ECG Time Series

artículo científico publicado en 2022

Investigating Classifier Learning Behavior with Experiment Databases

Learning from the Past with Experiment Databases

MDL-Based Analysis of Time Series at Multiple Time-Scales

Meta-Learning

artículo científico publicado en 2019

Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

scientific article published on 22 December 2017

Meta-features for meta-learning

artículo científico publicado en 2022

Multi-task learning with a natural metric for quantitative structure activity relationship learning

OpenML ⬇️

OpenML: A Collaborative Science Platform

article

OpenML: An R package to connect to the machine learning platform OpenML

artículo científico publicado en 2017

Organizing the World’s Machine Learning Information

scholarly article by Joaquin Vanschoren et al published 2008 in Communications in Computer and Information Science

Reduction of false arrhythmia alarms using signal selection and machine learning

artículo científico publicado en 2016

Selecting Classification Algorithms with Active Testing

scholarly article by Rui Leite et al published 2012 in Lecture Notes in Computer Science

Speeding up algorithm selection using average ranking and active testing by introducing runtime

artículo científico publicado en 2017

The online performance estimation framework: heterogeneous ensemble learning for data streams

artículo científico publicado en 2017

Theory-based habit modeling for enhancing behavior prediction in behavior change support systems

artículo científico publicado en 2022

To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning

Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

artículo científico publicado en 2016

Traffic Events Modeling for Structural Health Monitoring

article

Transformational machine learning: Learning how to learn from many related scientific problems

artículo científico publicado en 2021

Who is More Positive in Private? Analyzing Sentiment Differences across Privacy Levels and Demographic Factors in Facebook Chats and Posts

artículo científico publicado en 2015

Lista de obras de Joaquin Vanschoren

A Community-Based Platform for Machine Learning Experimentation

A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

A survey of intelligent assistants for data analysis

ASlib: A benchmark library for algorithm selection

Adaptation Strategies for Automated Machine Learning on Evolving Data

AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models

Algorithm Selection on Data Streams

Anticipating habit formation

Beyond Bag-of-Concepts: Vectors of Locally Aggregated Concepts

Croissant: A Metadata Format for ML-Ready Datasets

Decreasing the false alarm rate of arrhythmias in intensive care using a machine learning approach

Effectiveness of Random Search in SVM hyper-parameter tuning

Experiment Databases

Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning

Experiment databases

Fast Algorithm Selection Using Learning Curves

GAMA: Genetic Automated Machine learning Assistant

Guest editors’ introduction to the special issue on Discovery Science

Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm

Interpretable Assessment of ST-Segment Deviation in ECG Time Series

Investigating Classifier Learning Behavior with Experiment Databases

Learning from the Past with Experiment Databases

MDL-Based Analysis of Time Series at Multiple Time-Scales

Meta-Learning

Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

Meta-features for meta-learning

Multi-task learning with a natural metric for quantitative structure activity relationship learning

OpenML ⬇️

OpenML: A Collaborative Science Platform

OpenML: An R package to connect to the machine learning platform OpenML

Organizing the World’s Machine Learning Information

Reduction of false arrhythmia alarms using signal selection and machine learning

Selecting Classification Algorithms with Active Testing

Speeding up algorithm selection using average ranking and active testing by introducing runtime

The online performance estimation framework: heterogeneous ensemble learning for data streams

Theory-based habit modeling for enhancing behavior prediction in behavior change support systems

To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning

Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

Traffic Events Modeling for Structural Health Monitoring

Transformational machine learning: Learning how to learn from many related scientific problems

Who is More Positive in Private? Analyzing Sentiment Differences across Privacy Levels and Demographic Factors in Facebook Chats and Posts