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Eduardo Vellasques
Eduardo Vellasques
Data Science Expert, SAP
Verified email at livia.etsmtl.ca
Title
Cited by
Cited by
Year
Filtering segmentation cuts for digit string recognition
E Vellasques, LS Oliveira, AS Britto Jr, AL Koerich, R Sabourin
Pattern Recognition 41 (10), 3044-3053, 2008
592008
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service
M Noguti, E Vellasques, LS Oliveira
International Joint Conference on Neural Networks (IJCNN 2020), 2020
292020
Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations
E Vellasques, R Sabourin, E Granger
Applied Soft Computing 13 (6), 3130-3148, 2013
292013
A high throughput system for intelligent watermarking of bi-tonal images
E Vellasques, R Sabourin, E Granger
Applied Soft Computing 11 (8), 5215-5229, 2011
282011
Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems
E Vellasques, R Sabourin, E Granger
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
162012
Modeling segmentation cuts using support vector machines
E Vellasques, LS Oliveira, AS Britto Jr, AL Koerich, R Sabourin
Tenth International Workshop on Frontiers in Handwriting Recognition, 2006
122006
Intelligent watermarking systems: a survey, Handbook of Pattern Recognition and Computer Vision
E Vellasques, E Granger, R Sabourin
World Scientific Review, 2010
9*2010
Learning disentangled expression representations from facial images
M Halawa, M Wöllhaf, E Vellasques, US Sanz, O Hellwich
arXiv preprint arXiv:2008.07001, 2020
82020
Classificação de Pontos de Segmentação de Dígitos Manuscritos
E Vellasques
Mestrado em Informática, Universidade Católica do Paraná, 2006
72006
A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems
E Vellasques, R Sabourin, E Granger
Recent Advances in Computational Intelligence in Defense and Security, 367-389, 2016
62016
Bias mitigation for large language models using adversarial learning
JS Ernst, S Marton, J Brinkmann, E Vellasques, D Foucard, M Kraemer, ...
CEUR Workshop Proceedings 3523, 1-14, 2023
42023
Image search and training system
KIM Sohyeong, E Vellasques, US Sanz
US Patent 10,885,385, 2021
42021
DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams
E Vellasques, R Sabourin, E Granger
Expert systems with applications 40 (13), 5240-5259, 2013
42013
Intelligent watermarking of document images as a dynamic optimization problem
E Vellasques, R Sabourin, E Granger
2010 Sixth International Conference on Intelligent Information Hiding and …, 2010
42010
Planogram management system
E Vellasques, KP Kumar, JH Stockemer, US Sanz
US Patent App. 17/015,833, 2022
12022
Self-Attentive Key-Value Extraction
E Vellasques, X Yu, SK Baur, M Zeise
US Patent App. 18/113,903, 2024
2024
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
M Noguti, E Vellasques, LS Oliveira
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
2023
Semi-supervised Learning for Quality Estimation of Machine Translation
T Bhatia, M Kraemer, E Vellasques, E Avramidis
Proceedings of Machine Translation Summit XIX 1, 72–83, 2023
2023
Mitigating Bias in Language Models using Adversarial Learning
JS Ernst, S Marton, J Brinkmann, E Vellasques, D Foucard, M Kraemer
First AEQUITAS Workshop on Fairness and Bias in AI (ECAI 2023), 2023
2023
Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures.
S Durbha, T Goerttler, E Vellasques, JH Stockemer, K Obermayer
LWDA, 67-78, 2022
2022
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