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Towards Less Constrained Macro-Neural Architecture Search



Vasco Lopes , Luís A. Alexandre

* 8 pages double-column, 6 tables, 3 figures 

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Guided Evolution for Neural Architecture Search



Vasco Lopes , Miguel Santos , Bruno Degardin , Luís A. Alexandre

* Paper accepted at 35th Conference on Neural Information Processing Systems (NeurIPS) - New In ML. 9 pages, 2 figures, 1 table 

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Generative Adversarial Graph Convolutional Networks for Human Action Synthesis



Bruno Degardin , João Neves , Vasco Lopes , João Brito , Ehsan Yaghoubi , Hugo Proença

* Published as a conference paper at WACV 2022. Code and pretrained models available at https://github.com/DegardinBruno/Kinetic-GAN 

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REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition



Bruno Degardin , Vasco Lopes , Hugo Proença


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EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search



Vasco Lopes , Saeid Alirezazadeh , Luís A. Alexandre


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An AutoML-based Approach to Multimodal Image Sentiment Analysis



Vasco Lopes , António Gaspar , Luís A. Alexandre , João Cordeiro


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Auto-Classifier: A Robust Defect Detector Based on an AutoML Head



Vasco Lopes , Luís A. Alexandre

* 12 pages, 2 figures. Published in ICONIP2020, proceedings published in the Springer's series of Lecture Notes in Computer Science 

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HMCNAS: Neural Architecture Search using Hidden Markov Chains and Bayesian Optimization



Vasco Lopes , Luís A. Alexandre

* 9 pages, 1 figure, 2 tables, neural architecture search, macro-search 

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A Hybrid Method for Training Convolutional Neural Networks



Vasco Lopes , Paulo Fazendeiro

* 1 figure, 6 pages 

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Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems



João C. Neves , Ruben Tolosana , Ruben Vera-Rodriguez , Vasco Lopes , Hugo Proença


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