Luiz H. C. Merschmann

Orcid: 0000-0002-9948-2673

Affiliations:
  • Federal University of Lavras, Brazil


According to our database1, Luiz H. C. Merschmann authored at least 37 papers between 2006 and 2023.

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

Timeline

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Bibliography

2023
Evaluating a New Auto-ML Approach for Sentiment Analysis and Intent Recognition Tasks.
J. Interact. Syst., May, 2023

2022
An Auto-ML Approach Applied to Text Classification.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

A Cascade Approach for Gender Prediction from Texts in Portuguese Language.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

2021
Joint evaluation of preprocessing tasks with classifiers for sentiment analysis in Brazilian Portuguese language.
Multim. Tools Appl., 2021

Optimal decision trees for the algorithm selection problem: integer programming based approaches.
Int. Trans. Oper. Res., 2021

A lazy feature selection method for multi-label classification.
Intell. Data Anal., 2021

A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification.
IEEE Access, 2021

Uma Abordagem Híbrida para Predição de Gênero a partir de Textos em Português.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

2020
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis.
ACM Trans. Intell. Syst. Technol., 2020

Metalearning Applied to Multi-label Text Classification.
Proceedings of the SBSI'20: XVI Brazilian Symposium on Information Systems, 2020

2018
Correlation analysis of performance measures for multi-label classification.
Inf. Process. Manag., 2018

A VNS algorithm for feature selection in hierarchical classification context.
Electron. Notes Discret. Math., 2018

Optimal Decision Trees for Feature Based Parameter Tuning: Integer Programming Model and VNS Heuristic.
Electron. Notes Discret. Math., 2018

Categorizing feature selection methods for multi-label classification.
Artif. Intell. Rev., 2018

2017
Editorial.
J. Inf. Data Manag., 2017

HCAIM: A Discretizer for the Hierarchical Classification Scenario Applied to Bioinformatics Datasets.
J. Inf. Data Manag., 2017

Evaluating a hierarchical approach for heartbeat classification from ECG.
Int. J. Bioinform. Res. Appl., 2017

Data Mining Approach for Feature Based Parameter Tunning for Mixed-Integer Programming Solvers.
Proceedings of the International Conference on Computational Science, 2017

2016
A Methodology to Handle Social Media Posts in Brazilian Portuguese for Text Mining Applications.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Análise de Coocorrência de Itens Executados em Programações de Rádios [Co-occurrence Analysis for Items Played in Radio Stations Programs].
Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016

HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
The impact of sequence length and number of sequences on promoter prediction performance.
BMC Bioinform., December, 2015

Information Gain Feature Selection for Multi-Label Classification.
J. Inf. Data Manag., 2015

Predição de Rankings de Artistas por Meio de Regressão [Prediction of Artists' Rankings by Regression].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

2014
Pollution, bad-mouthing, and local marketing: The underground of location-based social networks.
Inf. Sci., 2014

Influence of Sequence Length in Promoter Prediction Performance.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2014

Avaliação de técnicas de mineração de dados para predição de ocorrência do mexilhão dourado em rios da América Latina.
Proceedings of the 10th Brazilian Symposium on Information Systems, 2014

2013
Detecting tip spam in location-based social networks.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2011
Improving Lazy Attribute Selection.
J. Inf. Data Manag., 2011

Lazy attribute selection: Choosing attributes at classification time.
Intell. Data Anal., 2011

Identifying Significant Features in HIV Sequence to Predict Patients' Response to Therapies.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2011

2010
HiSP-GC: A Classification Method Based on Probabilistic Analysis of Patterns.
J. Inf. Data Manag., 2010

A hybrid heuristic algorithm for the open-pit-mining operational planning problem.
Eur. J. Oper. Res., 2010

2008
K-NN: Estimating an Adequate Value for Parameter K.
Proceedings of the ICEIS 2008, 2008

2006
A Bayesian approach for protein classification.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

HiSP: A Probabilistic Data Mining Technique for Protein Classification.
Proceedings of the Computational Science, 2006


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