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- University of CoimbraPT27 papers
- Universidade do PortoPT21 papers
- INESC TECPT13 papers
- Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoPT11 papers
- University of LisbonPT10 papers
- University of MinhoPT10 papers
- Instituto Superior TécnicoPT6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Instituto de TelecomunicaçõesPT4 papers
- Universidade Nova de LisboaPT4 papers
- Instituto Politécnico de LisboaPT3 papers
- Instituto Politécnico de TomarPT3 papers
7 papers · 1 filter
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario
Francisco Valente, Jorge Henriques, Simão Paredes +3
We intend to create a new risk assessment methodology that combines the best characteristics of both risk score and machine learning models. More specifically, we aim to develop a…
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
Sandro A. Magalhães, Luís Castro, Germano Moreira +4
The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harve…
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions
Diogo A. P. Nunes, Joana Ferreira Gomes, Fani Neto +1
Chronic pain is recognized as a major health problem, with impacts not only at the economic, but also at the social, and individual levels. Being a private and subjective experienc…
Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset
Diogo A. P. Nunes, Joana Ferreira-Gomes, Fani Neto +1
Objective: Reveal and quantify qualities of reported experiences of chronic pain on social media, from multiple pathological backgrounds, by means of the novel Reddit Reports of Ch…
Multispectral Vineyard Segmentation: A Deep Learning approach
T. Barros, P. Conde, G. Gonçalves +4
Digital agriculture has evolved significantly over the last few years due to the technological developments in automation and computational intelligence applied to the agricultural…
AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition
Tiago Barros, Luís Garrote, Ricardo Pereira +2
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications. With the success of DL approaches in le…