Ricardo Gamelas Sousa

According to our database, Ricardo Gamelas Sousa authored at least 33 papers between 2008 and 2023.

Collaborative distances:

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

2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 2023

Task Conditioned BERT for Joint Intent Detection and Slot-Filling.

Diogo Tavares, Pedro Azevedo, David Semedo, Ricardo Gamelas Sousa, João Magalhães

Proceedings of the Progress in Artificial Intelligence, 2023

2021

iFetch: Multimodal Conversational Agents for the Online Fashion Marketplace.

Ricardo Gamelas Sousa, Pedro Miguel Ferreira, Pedro Moreira Costa, Pedro Azevedo, João Paulo Costeira, Carlos Santiago, João Magalhães, David Semedo, Rafael Ferreira, Alexander I. Rudnicky, Alexander G. Hauptmann

Proceedings of the MuCAI'21: Proceedings of the 2nd ACM Multimedia Workshop on Multimodal Conversational AI, 2021

MuCAI'21: 2nd ACM Multimedia Workshop on Multimodal Conversational AI.

João Magalhães, Alexander G. Hauptmann, Ricardo Gamelas Sousa, Carlos Santiago

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

MuCAI'20: 1st International Workshop on Multimodal Conversational AI.

Alex Hauptmann, João Magalhães, Ricardo Gamelas Sousa, João Paulo Costeira

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Pose Guided Attention for Multi-Label Fashion Image Classification.

Beatriz Quintino Ferreira, João Paulo Costeira, Ricardo Gamelas Sousa, Liang-Yan Gui, João Pedro Gomes

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

A Hierarchical Deep Learning Natural Language Parser for Fashion.

José Marcelino, João Faria, Luís Baía, Ricardo Gamelas Sousa

CoRR, 2018

A Unified Model with Structured Output for Fashion Images Classification.

Beatriz Quintino Ferreira, Luís Baía, João Faria, Ricardo Gamelas Sousa

CoRR, 2018

2017

Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition.

Ricardo Gamelas Sousa, Jorge M. Santos, Luís M. Silva, Luís A. Alexandre, Tiago Esteves, Sara Rocha, Paulo Monjardino, Joaquim Marques de Sá, Francisco Figueiredo, Pedro Quelhas

CoRR, 2017

Distribution-Based Categorization of Classifier Transfer Learning.

Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva, Joaquim Marques de Sá

CoRR, 2017

2016

Stacked denoising autoencoders for the automatic recognition of microglial cells' state.

Sofia Fernandes, Ricardo Gamelas Sousa, Renato Socodato, Luís M. Silva

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Robust classification with reject option using the self-organizing map.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme A. Barreto

Neural Comput. Appl., 2015

Transfer Learning for the Recognition of Immunogold Particles in TEM Imaging.

Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Joaquim Marques de Sá, Luís A. Alexandre, Jorge M. Santos, Luís M. Silva

Proceedings of the Advances in Computational Intelligence, 2015

Automatic Detection of Immunogold Particles from Electron Microscopy Images.

Ricardo Gamelas Sousa, Tiago Esteves, Sara Rocha, Francisco Figueiredo, Pedro Quelhas, Luís M. Silva

Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015

2014

Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders.

Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Ricardo Gamelas Sousa, Jorge M. Santos, Joaquim Marques de Sá

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification with Reject Option Using the Self-Organizing Map.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Jaime S. Cardoso, Guilherme De A. Barreto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

reject option paradigm for the reduction of support vectors.

Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Local self similar descriptors: Comparison and application to gastroenterology images.

Ricardo Gamelas Sousa, Daniel C. Moura, Mário Dinis-Ribeiro, Miguel T. Coimbra

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Multicriteria Models for Learning Ordinal Data: A Literature Review.

Ricardo Gamelas Sousa, Iryna Yevseyeva, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013

The data replication method for the classification with reject option.

Ricardo Gamelas Sousa, Jaime S. Cardoso

AI Commun., 2013

Compressive Sensing Based Face Detection without Explicit Image Reconstruction Using Support Vector Machines.

Filipe Magalhães, Ricardo Gamelas Sousa, Francisco M. Araújo, Miguel V. Correia

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Impact of SVM multiclass decomposition rules for recognition of cancer in gastroenterology images.

Ricardo Gamelas Sousa, Mário Dinis-Ribeiro, Pedro Pimentel-Nunes, Miguel Tavares Coimbra

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012

Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches.

Jaime S. Cardoso, Ricardo Gamelas Sousa, Inês Domingues

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Measuring the Performance of Ordinal Classification.

Jaime S. Cardoso, Ricardo Gamelas Sousa

Int. J. Pattern Recognit. Artif. Intell., 2011

Ensemble of decision trees with global constraints for ordinal classification.

Ricardo Gamelas Sousa, Jaime S. Cardoso

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Metric Learning for Music Symbol Recognition.

Ana Rebelo, Jakub Tkaczuk, Ricardo Gamelas Sousa, Jaime S. Cardoso

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Feature Selection with Complexity Measure in a Quadratic Programming Setting.

Ricardo Gamelas Sousa, Hélder P. Oliveira, Jaime S. Cardoso

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option.

Ajalmar R. da Rocha Neto, Ricardo Gamelas Sousa, Guilherme De A. Barreto, Jaime S. Cardoso

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010

An All-at-once Unimodal SVM Approach for Ordinal Classification.

Joaquim F. Pinto da Costa, Ricardo Gamelas Sousa, Jaime S. Cardoso

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Classification Models with Global Constraints for Ordinal Data.

Jaime S. Cardoso, Ricardo Gamelas Sousa

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

An Ordinal Data Method for the Classification with Reject Option.

Ricardo Gamelas Sousa, Beatriz Mora, Jaime S. Cardoso

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Breast contour detection with shape priors.

Ricardo Gamelas Sousa, Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso

Proceedings of the International Conference on Image Processing, 2008

Breast Contour Detection with Stable Paths.

Jaime S. Cardoso, Ricardo Gamelas Sousa, Luís Filipe Teixeira, Maria João Cardoso

Proceedings of the Biomedical Engineering Systems and Technologies, 2008