Martha Dais Ferreira

According to our database, Martha Dais Ferreira authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN).

Jessica N. A. Campbell, Martha Dais Ferreira, Anthony W. Isenor

Appl. Artif. Intell., December, 2024

Exploring autoregression patterns for automatic vessel type classification.

Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin

J. Supercomput., May, 2024

2023

Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories.

Martha Dais Ferreira, Jessica N. A. Campbell, Evan Purney, Amílcar Soares, Stan Matwin

Int. J. Geogr. Inf. Sci., March, 2023

SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks.

Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin

Neural Networks, February, 2023

Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning.

Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin

IEEE Access, 2023

2022

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels.

Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin

Sensors, 2022

Neural network training fingerprint: visual analytics of the training process in classification neural networks.

Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich

J. Vis., 2022

Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series.

Leonardo Christino, Martha Dais Ferreira, Fernando V. Paulovich

Inf., 2022

A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages.

Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin

CoRR, 2022

Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks.

Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin

CoRR, 2022

Detection of invalid AIS messages using machine learning techniques.

Jessica N. A. Campbell, Anthony W. Isenor, Martha Dais Ferreira

Proceedings of the International Conference on Military Communication and Information Systems, 2022

Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network.

Rowland Goddy-Worlu, Martha Dais Ferreira, Matthew Peachey, James Forren, Claire Nicholas, Derek Reilly

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021

Active learning for medical code assignment.

Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios

CoRR, 2021

Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization.

Leonardo Christino, Martha Dais Ferreira, Asal Jalilvand, Fernando V. Paulovich

CoRR, 2021

Senti-COVID19: An Interactive Visual Analytics System for Detecting Public Sentiment and Insights Regarding COVID-19 From Social Media.

Xuemin Yu, Martha Dais Ferreira, Fernando V. Paulovich

IEEE Access, 2021

2019

Theoretical learning guarantees applied to acoustic modeling.

Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra M. Aluísio

J. Braz. Comput. Soc., 2019

Robust Phoneme Recognition with Little Data.

Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio

Proceedings of the 8th Symposium on Languages, Applications and Technologies, 2019

2018

Designing architectures of convolutional neural networks to solve practical problems.

Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello

Expert Syst. Appl., 2018

2017

Providing theoretical learning guarantees to Deep Learning Networks.

Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti

CoRR, 2017

Acoustic Modeling Using a Shallow CNN-HTSVM Architecture.

Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017