João Correia - researchr alias

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Viewing Publication 1 - 69 from 69

2023

Generating Adversarial Examples through Latent Space Exploration of Generative Adversarial NetworksLuana Clare, João Correia. gecco 2023: 1760-1767 [doi]

Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular DesignJoão Correia, Vitor Pereira 0001, Miguel Rocha 0001. gecco 2023: 900-909 [doi]

Navigation and docking maneuvers control of an autonomous omnidirectional platform in a dynamic internal logistics environmentJoão Correia, Luís Louro, Sérgio Monteiro, Wolfram Erlhagen, Estela Bicho. icarsc 2023: 118-125 [doi]

Learning Performance Models of Distributed Computer Vision Methods for Decision Making in Detection and Tracking Algorithms in UAVsJoão Correia, Alexandre Bernardino, Ricardo A. Ribeiro. iotj, 10(14):12486-12495, July 2023. [doi]

Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. gecco 2023: 271-274 [doi]

EvoDesigner: Aiding the Exploration of Innovative Graphic Design SolutionsDaniel Lopes, João Correia, Penousal Machado. evomusart 2023: 383-398 [doi]

Towards the Evolution of Prompts with MetaPrompterTiago Martins, João Miguel Cunha, João Correia, Penousal Machado. evomusart 2023: 180-195 [doi]

2022

TGPGAN: towards expression-based generative adversarial networksFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. gecco 2022: 216-219 [doi]

Exploring expression-based generative adversarial networksFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. gecco 2022: 1862-1869 [doi]

Exploring Genetic Programming in TensorFlow with TensorGPFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. sncs, 3(2):154, 2022. [doi]

Evaluating molecular representations in machine learning models for drug response prediction and interpretabilityDelora Baptista, João Correia, Bruno Pereira, Miguel Rocha 0001. jib, 19(3), 2022. [doi]

Development of Deep Learning approaches to predict relationships between chemical structures and sweetnessJoão Capela, João Correia, Vitor Pereira 0001, Miguel Rocha. ijcnn 2022: 1-8 [doi]

Predicting the number of biochemical transformations needed to synthesize a compoundJoão Correia, Rafael Carreira, Vitor Pereira 0001, Miguel Rocha. ijcnn 2022: 1-8 [doi]

Pedestrian Intention Anticipation with Uncertainty Based Decision for Autonomous DrivingJoão Correia, Plinio Moreno, João Avelino. irc 2022: 1-5 [doi]

Experiments in evolutionary image enhancement with ELAINEJoão Correia, Daniel Lopes, Leonardo Vieira, Nereida Rodriguez-Fernandez, Adrián Carballal, Juan Romero, Penousal Machado. gpem, 23(4):557-579, 2022. [doi]

EvoDesigner: Towards Aiding Creativity in Graphic DesignDaniel Lopes, João Correia, Penousal Machado. evoW 2022: 162-178 [doi]

EvoDesigner: Evolving Poster LayoutsDaniel Lopes, João Correia, Penousal Machado. entropy, 24(12):1751, December 2022. [doi]

Evolving Data Augmentation StrategiesSofia Pereira, João Correia, Penousal Machado. evoW 2022: 337-351 [doi]

ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone DataPedro Silva, Catarina Maçãs, João Correia, Penousal Machado, Evgheni Polisciuc. ivapp 2022: 88-100 [doi]

2021

TensorGP - Genetic Programming Engine in TensorFlowFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. evoW 2021: 763-778 [doi]

Speed benchmarking of genetic programming frameworksFrancisco Baeta, João Correia, Tiago Martins, Penousal Machado. gecco 2021: 768-775 [doi]

A Comparison of Different Compound Representations for Drug Sensitivity PredictionDelora Baptista, João Correia, Bruno Pereira, Miguel Rocha. pacbb 2022: 145-154 [doi]

Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese CorporaJoão Correia, Rui Mendes 0001. ideal 2021: 300-311 [doi]

Evolving Image Enhancement PipelinesJoão Correia, Leonardo Vieira, Nereida Rodriguez-Fernandez, Juan Romero, Penousal Machado. evoW 2021: 82-97 [doi]

The X-Faces Behind the Portraits of No OneJoão Correia, Tiago Martins, Sérgio Rebelo, João Bicker, Penousal Machado. sncs, 2(4):236, 2021. [doi]

Demonstrating the Evolution of GANs Through t-SNEVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. evoW 2021: 618-633 [doi]

Improved evolution of generative adversarial networksVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. gecco 2021: 145-146 [doi]

Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular DesignTiago Sousa, João Correia, Vitor Pereira, Miguel Rocha. evoW 2021: 81-96 [doi]

Generative Deep Learning for Targeted Compound DesignTiago Sousa, João Correia, Vitor Pereira, Miguel Rocha. jcisd, 61(11):5343-5361, 2021. [doi]

ELEGANT: Security of Critical Infrastructures With Digital TwinsBruno Sousa, Miguel Arieiro, Vasco Pereira, João Correia, Nuno Lourenço 0002, Tiago Cruz 0001. access, 9:107574-107588, 2021. [doi]

2020

Towards Latent Space Exploration for Classifier ImprovementPaulo Fernandes 0006, João Correia, Penousal Machado. ecai 2020: [doi]

Designing Cable-Stayed Bridges with Genetic AlgorithmsJoão Correia, Fernando Ferreira. evoW 2020: 228-243 [doi]

Cable-stayed bridge optimization solution space explorationJoão Correia, Fernando Ferreira, Catarina Maçãs. gecco 2020: 261-262 [doi]

Neuroevolution of Generative Adversarial NetworksVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. In Hitoshi Iba, Nasimul Noman, editors, Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, pages 293-322, Springer, 2020. [doi]

Using Skill Rating as Fitness on the Evolution of GANsVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. evoW 2020: 562-577 [doi]

Exploring the evolution of GANs through quality diversityVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. gecco 2020: 297-305 [doi]

Evolutionary Latent Space Exploration of Generative Adversarial NetworksPaulo Fernandes, João Correia, Penousal Machado. evoW 2020: 595-609 [doi]

Adea - Evolving glyphs for aiding creativity in typeface designDaniel Lopes, João Correia, Penousal Machado. gecco 2020: 97-98 [doi]

Portraits of No One: An Interactive InstallationTiago Martins, João Correia, Sérgio Rebelo, João Bicker, Penousal Machado. evoW 2020: 104-117 [doi]

Portraits of No One: An Internet ArtworkTiago Martins, João Correia, Sérgio Rebelo, João Bicker, Penousal Machado. mm 2020: 4392-4393 [doi]

2019

Automatic Design of Artificial Neural Networks for Gamma-Ray DetectionFilipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço 0002, Penousal Machado. access, 7:110531-110540, 2019. [doi]

Artificial Intelligence in Biological Activity PredictionJoão Correia, Tiago Resende, Delora Baptista, Miguel Rocha. pacbb 2020: 164-172 [doi]

Evolutionary data augmentation in deep face detectionJoão Correia, Tiago Martins, Penousal Machado. gecco 2019: 163-164 [doi]

Breaking the Mould An Evolutionary Quest for Innovation Through Style ChangeJoão Correia, Penousal Machado, Juan Romero 0003, Pedro Martins, F. Amílcar Cardoso. In Tony Veale, F. Amílcar Cardoso, editors, Computational Creativity - The Philosophy and Engineering of Autonomously Creative Systems. pages 353-398, Springer, 2019. [doi]

COEGAN: evaluating the coevolution effect in generative adversarial networksVictor Costa, Nuno Lourenço 0002, João Correia, Penousal Machado. gecco 2019: 374-382 [doi]

Emojinating: Evolving Emoji BlendsJoão Miguel Cunha, Nuno Lourenço 0002, João Correia, Pedro Martins 0003, Penousal Machado. evoW 2019: 110-126 [doi]

Evolving Stencils for Typefaces: Combining Machine Learning, User's Preferences and NoveltyTiago Martins, João Correia, Ernesto Costa, Penousal Machado. complexity, 2019, 2019. [doi]

2018

Distinguishing paintings from photographs by complexity estimatesAdrián Carballal, Antonino Santos, Juan Romero, Penousal Machado, João Correia, Luz Castro. nca, 30(6):1957-1969, 2018. [doi]

Evotype: Towards the Evolution of Type StencilsTiago Martins, João Correia, Ernesto Costa, Penousal Machado. evoW 2018: 299-314 [doi]

2016

2015

2014

Detecting Bias on Aesthetic Image DatasetsAdrián Carballal, Luz Castro, Rebeca Perez, João Correia. ijcicg, 5(2):62-74, 2014. [doi]

Semantic aware methods for evolutionary artPenousal Machado, João Correia. gecco 2014: 301-308 [doi]

2013

2012

Improving haar cascade classifiers through the synthesis of new training examplesJoão Correia, Penousal Machado, Juan Romero. gecco 2012: 1479-1480 [doi]

Expression-Based Evolution of FacesPenousal Machado, João Correia, Juan Romero. evoW 2012: 187-198 [doi]

Improving Face DetectionPenousal Machado, João Correia, Juan Romero. eurogp 2012: 73-84 [doi]

2006

Semi-Automatic 3D Reconstruction of Urban Areas Using Epipolar Geometry and Template MatchingJosé Miguel Sales Dias, Rafael Bastos, João Correia, Rodrigo Vicente. cacie, 21(7):466-485, 2006. [doi]

2004

INQUER: A WordNet-based Question-Answering ApplicationCatarina Ribeiro, Ricardo Santos, João Correia, Rui Pedro Chaves, Palmira Marrafa. lrec 2004: [doi]

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2023

2022

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2019

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2004

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