Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Supervised
thesis

Supervised thesis by Jaime Cardoso

Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring

Author João Tiago Ribeiro Pinto

Degree MSc

Year 2021

Institution UP-FEUP

Personalized 3D Breast Cancer Models: from Multimodal Registration to Predictive Shape Modelling

Author Sílvia da Conceição Neto Bessa

Degree MSc

Year 2021

Institution UP-FEUP

A Deep Learning-based Radio-Pathomics Approach for Breast Tumor Signature

Author Sara Isabel Pires de Oliveira

Degree MSc

Year 2021

Institution UP-FEUP

Explainable Artificial Intelligence for Fair and Transparent Biometrics

Author Pedro Carneiro Neto

Degree MSc

Year 2021

Institution UP-FEUP

Computer Vision for Blood Vessel Segmentation and Related Applications

Author Ricardo Jorge Terroso de Araújo

Degree MSc

Year 2021

Institution UP-FEUP

Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes

Author Wilson José dos Santos Silva

Degree MSc

Year 2021

Institution UP-FEUP

Make My Heartbeat: Generation and Interlead Conversion of ECG Signals

Author Sofia Cardoso Beco

Degree MSc

Year 2021

Institution UP-FEUP

Scene understanding from 3D point clouds and RGB images for autonomous driving

Author Rolando de Sousa Chichorro Avides Moreira

Degree MSc

Year 2021

Institution UP-FEUP

Feel My Heart: Emotion Recognition Using the Electrocardiogram

Author Inês Alexandra Teixeira Antunes de Magalhães

Degree MSc

Year 2021

Institution UP-FEUP

Automotive Interior Sensing - Human Interaction Recognition

Author Maria Carolina Silva Teixeira Pinto

Degree MSc

Year 2021

Institution UP-FEUP

Self-explanatory computer-aided diagnosis with limited supervision

Author Isabel Cristina Rio-Torto de Oliveira

Degree MSc

Year 2021

Institution UP-FEUP

Protecting IOT devices against cyberattacks using deep learning to classify radio-frequency emissions of code running on the processor

Author José Pedro Passos Leocádio

Degree MSc

Year 2021

Institution UP-FEUP

  • 5
  • 15