Difference between revisions of "Patrícia Pereira"

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* Rita Parada Ramos, Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho, Bruno Martins, '''Retrieval Augmentation for Deep Neural Networks''', ''In'' The International Joint Conference on Neural Networks 2021, July 2021
 
* Rita Parada Ramos, Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho, Bruno Martins, '''Retrieval Augmentation for Deep Neural Networks''', ''In'' The International Joint Conference on Neural Networks 2021, July 2021
  
* Patrícia Pereira, Anders Lansner, Pawel Herman, '''Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve'''. Poster at the Champalimaud Research Symposium 2021 - Dialogues on Neural and Machine Intelligence, October 2021
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* Patrícia Pereira, Anders Lansner, Pawel Herman, '''Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve''', Poster at the Champalimaud Research Symposium 2021 - Dialogues on Neural and Machine Intelligence, October 2021
  
 
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Latest revision as of 12:18, 30 September 2021

Patrícia Pereira graduated in Electrical and Computer Engineering from Instituto Superior Técnico (IST), Lisbon, and received a Masters Degree in Electrical and Computer Engineering (from IST) and a Masters Degree in Systems, Control and Robotics from KTH Royal Institute of Technology in 2020.

She is currently a PhD student in Electrical and Computer Engineering at IST and INESC-ID, working on Empathetic Dialogue Systems.

Contact

  • Email: patriciaspereira@tecnico.ulisboa.pt

Research Interests

  • Natural Language Processing
  • Affective Computing
  • Cognitive Computational Neuroscience

Publications

  • Rita Parada Ramos, Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho, Bruno Martins, Retrieval Augmentation for Deep Neural Networks, In The International Joint Conference on Neural Networks 2021, July 2021
  • Patrícia Pereira, Anders Lansner, Pawel Herman, Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve, Poster at the Champalimaud Research Symposium 2021 - Dialogues on Neural and Machine Intelligence, October 2021