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ORCIDMartha Dais Ferreira
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2020 – today
- 2024
[j11]Jessica N. A. Campbell
, Martha Dais Ferreira, Anthony W. Isenor:
Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN). Appl. Artif. Intell. 38(1) (2024)- [j10]Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin:
Exploring autoregression patterns for automatic vessel type classification. J. Supercomput. 80(7): 9532-9553 (2024) - 2023
- [j9]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access 11: 18821-18837 (2023) - [j8]Martha Dais Ferreira, Jessica N. A. Campbell, Evan Purney, Amílcar Soares, Stan Matwin:
Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. Int. J. Geogr. Inf. Sci. 37(3): 660-683 (2023) - [j7]Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin:
SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks 159: 25-33 (2023) - 2022
- [j6]Leonardo Christino, Martha Dais Ferreira, Fernando V. Paulovich:
Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series. Inf. 13(8): 368 (2022) - [j5]Martha Dais Ferreira, Gabriel Dias Cantareira, Rodrigo Fernandes de Mello, Fernando V. Paulovich:
Neural network training fingerprint: visual analytics of the training process in classification neural networks. J. Vis. 25(3): 593-612 (2022) - [j4]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors 22(16): 6063 (2022) - [c4]Rowland Goddy-Worlu, Martha Dais Ferreira, Matthew Peachey, James Forren, Claire Nicholas, Derek Reilly:
Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network. AIVR 2022: 124-129 - [c3]Jessica N. A. Campbell, Anthony W. Isenor, Martha Dais Ferreira:
Detection of invalid AIS messages using machine learning techniques. ICMCIS 2022: 229-238 - [i6]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR abs/2202.13867 (2022) - [i5]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR abs/2207.05514 (2022) - 2021
- [j3]Xuemin Yu, Martha Dais Ferreira, Fernando V. Paulovich:
Senti-COVID19: An Interactive Visual Analytics System for Detecting Public Sentiment and Insights Regarding COVID-19 From Social Media. IEEE Access 9: 126684-126697 (2021) - [i4]Leonardo Christino, Martha Dais Ferreira, Asal Jalilvand, Fernando V. Paulovich:
Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization. CoRR abs/2101.08655 (2021) - [i3]Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios:
Active learning for medical code assignment. CoRR abs/2104.05741 (2021)
2010 – 2019
- 2019
- [j2]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra M. Aluísio:
Theoretical learning guarantees applied to acoustic modeling. J. Braz. Comput. Soc. 25(1): 1:1-1:12 (2019) - [c2]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Robust Phoneme Recognition with Little Data. SLATE 2019: 4:1-4:11 - 2018
- [j1]Martha Dais Ferreira, Débora Cristina Corrêa, Luis Gustavo Nonato, Rodrigo Fernandes de Mello:
Designing architectures of convolutional neural networks to solve practical problems. Expert Syst. Appl. 94: 205-217 (2018) - 2017
- [c1]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. BRACIS 2017: 85-90 - [i2]Christopher Dane Shulby, Martha Dais Ferreira, Rodrigo Fernandes de Mello, Sandra Maria Aluísio:
Acoustic Modeling Using a Shallow CNN-HTSVM Architecture. CoRR abs/1706.09055 (2017) - [i1]Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti:
Providing theoretical learning guarantees to Deep Learning Networks. CoRR abs/1711.10292 (2017)
Coauthor Index
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