Allan de Medeiros Martins

Orcid: 0000-0002-9486-4509

Affiliations:
  • Federal University of Rio Grande do Norte, Department of Communications Engineering, Natal, Brazil


According to our database1, Allan de Medeiros Martins authored at least 48 papers between 2005 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Assessing the Performance of Autoencoders for Particle Density Estimation in Acoustofluidic Medium: A Visual Analysis Approach.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise.
Sensors, October, 2023

How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case.
Sensors, February, 2023

Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery.
Sensors, 2023

SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understanding.
CoRR, 2023

End-to-end Semantic Object Detection with Cross-Modal Alignment.
CoRR, 2023

Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Proactive ML-Assisted and Quality-Driven Slice Application Service Management to Keep QoE in 5G Mobile Networks.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022
Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions.
Sensors, 2022

Circular Correntropy: Definition and Application in Impulsive Noise Environments.
IEEE Access, 2022

Retail sales forecasting for a Brazilian supermarket chain: an empirical assessment.
Proceedings of the 24th IEEE Conference on Business Informatics, 2022

Prototyping near-real time RIC O-RAN xApps for Flexible ML-based Spectrum Sensing.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022

2021
An adaptive kernel width convex combination method for maximum correntropy criterion.
J. Braz. Comput. Soc., 2021

2020
Characterization of Noise Level Inside a Vehicle under Different Conditions.
Sensors, 2020

Controlling epidemic diseases based only on social distancing level.
CoRR, 2020

Parallel t-SNE Applied to Data Visualization in Smart Cities.
IEEE Access, 2020

Evaluating Human-Machine Translation with Attention Mechanisms for Industry 4.0 Environment SQL-Based Systems.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

2019
Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation.
Sensors, 2019

Performance evaluation of the maximum complex correntropy criterion with adaptive kernel width update.
EURASIP J. Adv. Signal Process., 2019

Complex Correntropy Applied to a Compressive Sensing Problem in an Impulsive Noise Environment.
IEEE Access, 2019

Automatic Modulation Classification Architectures Based on Cyclostationary Features in Impulsive Environments.
IEEE Access, 2019

2018
Complex correntropy function: Properties, and application to a channel equalization problem.
Expert Syst. Appl., 2018

Complex Correntropy Induced Metric Applied to Compressive Sensing with Complex-Valued Data.
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Time-Series Features for Predictive Policing.
Proceedings of the IEEE International Smart Cities Conference, 2018

Information State: A Representation for Dynamic Processes Using Information Theory.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data.
IEEE Signal Process. Lett., 2017

Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117].
Expert Syst. Appl., 2017

Cyclostationary correntropy: Definition and applications.
Expert Syst. Appl., 2017

An Analysis of Information Dynamic Behavior Using Autoregressive Models.
Entropy, 2017

Feature engineering for crime hotspot detection.
Proceedings of the 2017 IEEE SmartWorld, 2017

Planar target following control scheme based on path generation for nonholonomic terrestrial robots.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

2016
Probabilistic Interpretation for Correntropy with Complex Data.
CoRR, 2016

Data driven monitoring and 3D visualization for hydro refining industrial processes.
Proceedings of the 25th IEEE International Symposium on Industrial Electronics, 2016

A Combination Method for Reducing Dimensionality in Large Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Performance evaluation of the maximum correntropy criterion in identification systems.
Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

2015
Performance evaluation of the correntropy coefficient in automatic modulation classification.
Expert Syst. Appl., 2015

2013
Representative cross information potential clustering.
Pattern Recognit. Lett., 2013

Information-theoretic clustering: A representative and evolutionary approach.
Expert Syst. Appl., 2013

Blind calibration of five-port receiver based on Independent Component Analysis (ICA).
Proceedings of the 2013 Wireless Telecommunications Symposium, 2013

2012
Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Comparative study on dimension reduction techniques for cluster analysis of microarray data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Clustering Using Elements of Information Theory.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Mean shift: An information theoretic perspective.
Pattern Recognit. Lett., 2009

Soccer robot identification using Kernel based weighted least squares.
Proceedings of the International Joint Conference on Neural Networks, 2009

Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Classificação da direção do olhar para interatividade humana utilizando processamento de imagens digitais.
Proceedings of the VIII Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais (IHC 2008), 2008

2005
Contribuições aos Processos de Clustering com Base em Métricas não-Euclidianas.
PhD thesis, 2005


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