André Luis Debiaso Rossi

Orcid: 0000-0001-6388-7479

According to our database1, André Luis Debiaso Rossi authored at least 30 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.
Data Min. Knowl. Discov., May, 2024

2023
Financial Distress Prediction in an Imbalanced Data Stream Environment.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

2021
Micro-MetaStream: Algorithm selection for time-changing data.
Inf. Sci., 2021

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021


2020
Rethinking Default Values: a Low Cost and Efficient Strategy to Define Hyperparameters.
CoRR, 2020

Algorithm Recommendation for Data Streams.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

N-BEATS-RNN: deep learning for time series forecasting.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Harnessing Particle Swarm optimization Through Relativistic Velocity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Frontmatter.
J. Inf. Data Manag., 2019

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers.
Inf. Sci., 2019

2018
Dimensionality Reduction for the Algorithm Recommendation Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A guidance of data stream characterization for meta-learning.
Intell. Data Anal., 2017

Deep learning for biological image classification.
Expert Syst. Appl., 2017

2015
Meta-learning Recommendation of Default Hyper-parameter Values for SVMs in Classification Tasks.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Effectiveness of Random Search in SVM hyper-parameter tuning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

To tune or not to tune: Recommending when to adjust SVM hyper-parameters via meta-learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data.
Neurocomputing, 2014

2013
Metalearning for algorithm selection in data strams.
PhD thesis, 2013

Predicting execution time of machine learning tasks for scheduling.
Int. J. Hybrid Intell. Syst., 2013

2012
Combining meta-learning and search techniques to select parameters for support vector machines.
Neurocomputing, 2012

Meta-Learning for Periodic Algorithm Selection in Time-Changing Data.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2010
Combining Meta-learning and Search Techniques to SVM Parameter Selection.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2008
Bio-inspired Optimization Techniques for SVM Parameter Tuning.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Protein Classification Using Artificial Neural Networks with Different Protein Encoding Methods.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007


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