Anderson da Silva Soares
Orcid: 0000-0002-2967-6077Affiliations:
- Federal University of Goiás, Goiânia, Brazil
According to our database1,
Anderson da Silva Soares
authored at least 64 papers
between 2007 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on scopus.com
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Bibliography
2025
CoRR, January, 2025
MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
A survey and study impact of tweet sentiment analysis via transfer learning in low resource scenarios.
Lang. Resour. Evaluation, March, 2024
Deep-Q-Network hybridization with extended Kalman filter for accelerate learning in autonomous navigation with auxiliary security module.
Trans. Emerg. Telecommun. Technol., February, 2024
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax.
CoRR, 2024
Fine-Tuning a Video Masked Autoencoder to Develop an Augmented Reality Application for Brazilian Sign Language Interpretation.
Proceedings of the 26th Symposium on Virtual and Augmented Reality, 2024
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024
2023
CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese.
Lang. Resour. Evaluation, September, 2023
CoRR, 2023
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person.
CoRR, 2023
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
PTL-AI Furnas Dataset: A Public Dataset for Fault Detection in Power Transmission Lines Using Aerial Images.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022
Proceedings of the Computational Processing of the Portuguese Language, 2022
A new big data architecture for efficient processing of spatiotemporal data using Machine Learning.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
2021
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese.
CoRR, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
2020
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets.
CoRR, 2020
CoRR, 2020
Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the SAST 20: 5th Brazilian Symposium on Systematic and Automated Software Testing, 2020
Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks.
Proceedings of the Computational Processing of the Portuguese Language, 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Improving Face Recognition Accuracy for Brazilian Faces in a Criminal Investigation Department.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration.
Eng. Appl. Artif. Intell., 2019
Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese co-located with XII Symposium in Information and Human Language Technology (STIL 2019), 2019
Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language.
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks.
CoRR, 2018
Proceedings of the Computational Processing of the Portuguese Language, 2018
A New Clustering-based Thresholding Method for Human Skin Segmentation Using HSV Color Space.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018
2017
Modern Metaheuristic with Multi-Objective Formulation for the Variable Selection Problem.
J. Comput. Sci., 2017
Variable selection as a non-completely decomposable problem: a case study in multivariate calibration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Progress in Artificial Intelligence, 2017
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Node-depth phylogenetic-based encoding, a spanning-tree representation for evolutionary algorithms. part I: Proposal and properties analysis.
Swarm Evol. Comput., 2016
A feasibility cachaca type recognition using computer vision and pattern recognition.
Comput. Electron. Agric., 2016
Proceedings of the 15th Brazilian Symposium on Human Factors in Computer Systems, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
A Multi-Objective Evolutionary Algorithm with Efficient Data Structure and Heuristic Initialization for Fault Service Restoration.
Proceedings of the International Conference on Computational Science 2016, 2016
Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point Crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016
A compact firefly algorithm for the variable selection problem in pharmaceutical ingredient determination.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Genetic Algorithm for Variable and Samples Selection in Multivariate Calibration Problems.
J. Comput. Sci., 2015
Reconhecimento de árvores usando visão computacional para prevenir interrupções no sistema de distribuição de energia elétrica [Recognition of trees using Computer Vision to prevent interruptions in the Power Distribution System].
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
Multi-objective Genetic Algorithm for Variable Selection in Multivariate Classification Problems: A Case Study in Verification of Biodiesel Adulteration.
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the Progress in Artificial Intelligence, 2015
2014
Parallelization of a Modified Firefly Algorithm using GPU for Variable Selection in a Multivariate Calibration Problem.
Int. J. Nat. Comput. Res., 2014
Proceedings of the International Conference on Computational Science, 2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Proceedings of the Artificial Intelligence and Soft Computing, 2013
Multi-objective evolutionary algorithm for variable selection in calibration problems: A case study for protein concentration prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Multi-Objective Evolutionary Algorithm NSGA-II for Variables Selection in Multivariate Calibration Problems.
Int. J. Nat. Comput. Res., 2012
2007
Technical and Fundamental Analysis for the Forecast of Financial Scrip Quotation: An Approach Employing Artificial Neural Networks and Wavelet Transform.
Proceedings of the Advances in Neural Networks, 2007