Telmo de Menezes e Silva Filho

Orcid: 0000-0003-0826-6885

Affiliations:
  • University of Bristol, UK
  • Federal University of Pernambuco, Recife, Brazil


According to our database1, Telmo de Menezes e Silva Filho authored at least 35 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Sighted particles: improving swarm optimization by making particles aware of their surroundings.
Evol. Intell., April, 2024

Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials.
Pattern Recognit., 2024

Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting.
CoRR, 2024

Assessor Models for Explaining Instance Hardness in Classification Problems.
Proceedings of the International Joint Conference on Neural Networks, 2024

Meta-Learning and Novelty Detection for Machine Learning with Reject Option.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Classifying breast lesions in Brazilian thermographic images using convolutional neural networks.
Neural Comput. Appl., September, 2023

Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Mach. Learn., September, 2023

β<sup>4</sup>-IRT: A New β<sup>3</sup>-IRT with Enhanced Discrimination Estimation.
CoRR, 2023

2022
A two-level Item Response Theory model to evaluate speech synthesis and recognition.
Speech Commun., 2022

Evaluating regression algorithms at the instance level using item response theory.
Knowl. Based Syst., 2022

Learning Under Concept Drift for Regression - A Systematic Literature Review.
IEEE Access, 2022

Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks.
Proceedings of the IEEE International Systems Conference, 2022

Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks.
Proceedings of the Computational Processing of the Portuguese Language, 2022

Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Kohonen map-wise regression applied to interval data.
Knowl. Based Syst., 2021

Classifier Calibration: How to assess and improve predicted class probabilities: a survey.
CoRR, 2021

A Comparative Study on Concept Drift Detectors for Regression.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021


Automatic Segmentation of Mammary Tissue using Computer Simulations of Breast Phantoms and Deep-learning Techniques.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Item Response Theory for Evaluating Regression Algorithms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Investigating different fitness criteria for swarm-based clustering.
Int. J. Bus. Intell. Data Min., 2019

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.
CoRR, 2019

β<sup>3</sup>-IRT: A New Item Response Model and its Applications.
CoRR, 2019

Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

$β^3$-IRT: A New Item Response Model and its Applications.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017
An interval prototype classifier based on a parameterized distance applied to breast thermographic images.
Medical Biol. Eng. Comput., 2017

A parametrized approach for linear regression of interval data.
Knowl. Based Syst., 2017

Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data.
Neural Networks, 2016

Background Check: A General Technique to Build More Reliable and Versatile Classifiers.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization.
Expert Syst. Appl., 2015

2013
Fuzzy learning vector quantization approaches for interval data.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
A Weighted Learning Vector Quantization Approach for Interval Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Pattern classifiers with adaptive distances.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance.
Proceedings of the Artificial Neural Networks, 2009


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