Martha Dais Ferreira
Martha Dais Ferreira
Postdoctoral Student at Faculty of Computer Science, Dalhousie University
Verified email at
Cited by
Cited by
Designing architectures of convolutional neural networks to solve practical problems
MD Ferreira, DC Corrêa, LG Nonato, RF de Mello
Expert Systems with Applications 94, 205-217, 2018
Similarity graph: Visual exploration of song collections
J Ono, D Corrêa, M Ferreira, R Mello, LG Nonato
SIBGRAPI; IEEE, Institute of Electrical and Electronics Engineers United …, 2015
Senti-covid19: An interactive visual analytics system for detecting public sentiment and insights regarding COVID-19 from social media
X Yu, MD Ferreira, FV Paulovich
IEEE Access 9, 126684-126697, 2021
Providing theoretical learning guarantees to deep learning networks
RF de Mello, MD Ferreira, MA Ponti
arXiv preprint arXiv:1711.10292, 2017
Theoretical learning guarantees applied to acoustic modeling
CD Shulby, MD Ferreira, RF de Mello, SM Aluisio
Journal of the Brazilian Computer Society 25, 1-12, 2019
Acoustic modeling using a shallow CNN-HTSVM architecture
CD Shulby, MD Ferreira, RF de Mello, SM Aluisio
2017 Brazilian Conference on Intelligent Systems (BRACIS), 85-90, 2017
Robust phoneme recognition with little data
CD Shulby, MD Ferreira, RF Mello, SM Aluisio
Proceedings, 2019
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks
G Spadon, MD Ferreira, A Soares, S Matwin
arXiv preprint arXiv:2202.13867, 2022
Time complexity evaluation of cover song identification algorithms
MD Ferreira, RF de Mello
Applied Acoustics 175, 107777, 2021
Explainable patterns: Going from findings to insights to support data analytics democratization
L Christino, MD Ferreira, A Jalilvand, FV Paulovich
arXiv e-prints, arXiv: 2101.08655, 2021
On accuracy and time processing evaluation of cover song identification systems
MD Ferreira, DC Corrêa, MA Grivet, GT dos Santos, RF de Mello, ...
Journal of New Music Research 45 (4), 333-342, 2016
A novel machine learning approach to analyzing geospatial vessel patterns using AIS data
MD Ferreira, JNA Campbell, S Matwin
GIScience & Remote Sensing 59 (1), 1473-1490, 2022
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels
MD Ferreira, G Spadon, A Soares, S Matwin
Sensors 22 (16), 6063, 2022
Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning
G Spadon, MD Ferreira, A Soares, S Matwin
IEEE Access, 2022
Neural network training fingerprint: visual analytics of the training process in classification neural networks
MD Ferreira, GD Cantareira, RF de Mello, FV Paulovich
Journal of Visualization, 1-20, 2022
Active learning for medical code assignment
MD Ferreira, M Malyska, N Sahar, R Miotto, F Paulovich, E Milios
arXiv preprint arXiv:2104.05741, 2021
Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories
MD Ferreira, J Campbell, E Purney, A Soares, S Matwin
International Journal of Geographical Information Science, 1-24, 2023
SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks
W Taylor-Melanson, MD Ferreira, S Matwin
Neural Networks 159, 25-33, 2023
Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series
L Christino, MD Ferreira, FV Paulovich
Information 13 (8), 368, 2022
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages
MD Ferreira, G Spadon, A Soares, S Matwin
arXiv preprint arXiv:2207.05514, 2022
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