Martha Dais Ferreira

22 papers Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A novel RNN architecture to improve the precision of ship trajectory predictions. Appl. Artif. Intell. Martha Dais Ferreira, Jessica N. A. Campbell
2024	J	`jnl`	Exploring autoregression patterns for automatic vessel type classification. J. Supercomput. Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN). Appl. Artif. Intell. Jessica N. A. Campbell, Martha Dais Ferreira, Anthony W. Isenor
2023	J	`jnl`	Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. Int. J. Geogr. Inf. Sci. Martha Dais Ferreira, Jessica N. A. Campbell, Evan Purney, Amílcar Soares, Stan Matwin
2023	J	`jnl`	SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin
2023	J	`jnl`	Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin
2022	J	`jnl`	A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
2022	J	`jnl`	A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
2022	—	`conf`	Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network. AIVR Rowland Goddy-Worlu, Martha Dais Ferreira, Matthew Peachey, James Forren, Claire Nicholas, Derek Reilly
2022	—	`conf`	Detection of invalid AIS messages using machine learning techniques. ICMCIS Jessica N. A. Campbell, Anthony W. Isenor, Martha Dais Ferreira
2022	J	`jnl`	Neural network training fingerprint: visual analytics of the training process in classification neural networks. J. Vis. Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich
2022	J	`jnl`	Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series. Inf. Leonardo Christino, Martha Dais Ferreira, Fernando V. Paulovich
2022	J	`jnl`	Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin
2021	J	`jnl`	Active learning for medical code assignment. CoRR Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios
2021	J	`jnl`	Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization. CoRR Leonardo Christino, Martha Dais Ferreira, Asal Jalilvand, Fernando V. Paulovich
2021	J	`jnl`	Senti-COVID19: An Interactive Visual Analytics System for Detecting Public Sentiment and Insights Regarding COVID-19 From Social Media. IEEE Access Xuemin Yu, Martha Dais Ferreira, Fernando V. Paulovich
2019	—	`conf`	Robust Phoneme Recognition with Little Data. SLATE Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2019	J	`jnl`	Theoretical learning guarantees applied to acoustic modeling. J. Braz. Comput. Soc. Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra M. Aluísio
2018	J	`jnl`	Designing architectures of convolutional neural networks to solve practical problems. Expert Syst. Appl. Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello
2017	—	`conf`	Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. BRACIS Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2017	J	`jnl`	Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. CoRR Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio
2017	J	`jnl`	Providing theoretical learning guarantees to Deep Learning Networks. CoRR Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti