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== Publications ==
== Publications ==


:- Rita Parada Ramos, Patrícia Pereira, Helena Moniz, João Paulo Carvalho, Bruno Martins. "Retrieval Augmentation for Deep Neural Networks". In INNS/IEEE International Joint Conference on Neural Networks, 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
* 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


[[category:People]]
[[category:People]]
[[category:Researchers]]
[[category:Researchers]]

Revision as of 12:12, 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 HLT-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
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