André C. A. Nascimento

Orcid: 0000-0002-9333-3212

According to our database1, André C. A. Nascimento authored at least 29 papers between 2008 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks.
Expert Syst. Appl., 2023

Automatic Simplification of Legal Texts in Portuguese Using Machine Learning.
Proceedings of the Legal Knowledge and Information Systems, 2023

2022
NASC: Network analytics to uncover socio-cognitive discourse of student roles.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Federated Learning for Physical Violence Detection in Videos.
Proceedings of the International Joint Conference on Neural Networks, 2022

Using Natural Language Processing to Improve Transparency by Enhancing the Understanding of Legal Decisions.
Proceedings of Ongoing Research, 2022

Multi-Objective Optimization of Sampling Algorithms Pipeline for Unbalanced Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Toward Automatic Classification of Online Discussion Messages for Social Presence.
IEEE Trans. Learn. Technol., 2021

ImageDataset2Vec: An image dataset embedding for algorithm selection.
Expert Syst. Appl., 2021

Grammar-based automatic programming for medical data classification: an experimental study.
Artif. Intell. Rev., 2021

A Chatbot to Support Basic Students Questions.
Proceedings of the IV Latin American Conference on Learning Analytics, 2021

Applying Group Formation in Practice on a Brazilian Postgraduate Course.
Proceedings of the IV Latin American Conference on Learning Analytics, 2021

Fostering Autonomy through Augmentative and Alternative Communication.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Reducing the size of training datasets in the classification of online discussions.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Portuguese Neural Text Simplification Using Machine Translation.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
A multi-objective optimization approach for the group formation problem.
Expert Syst. Appl., 2020

How good is my feedback?: a content analysis of written feedback.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

A Many-Objective optimization Approach for Complexity-based Data set Generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks.
New Gener. Comput., 2018

2017
Um Survey com Empresas Brasileiras acerca da Utilização de Business Intelligence (BI).
Proceedings of the XX Iberoamerican Conference on Software Engineering, 2017

2016
A multiple kernel learning algorithm for drug-target interaction prediction.
BMC Bioinform., 2016

Experimentation in the Industry for Automation of Unit Testing in a Business Intelligence Environment.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

A Comparative Study of Group Profiling Techniques in Co-authorship Networks.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2013
Group Profiling for Understanding Educational Social Networking.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

2009
Combining Text Classifiers and Hidden Markov Models for Information Extraction.
Int. J. Artif. Intell. Tools, 2009

Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.
Proceedings of the Artificial Neural Networks, 2009

2008
Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008


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