David Ribeiro

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 13

Top Topics

Weakly Supervised

Cascade Classifier

Assessment Tool

Top Venues

Publications

Álvaro Mendes Samagaio, Henrique Lopes Cardoso, David Ribeiro
Enriching Word Embeddings with Food Knowledge for Ingredient Retrieval. LDK (2021)
Álvaro Mendes Samagaio, Henrique Lopes Cardoso, David Ribeiro
A Chatbot for Recipe Recommendation and Preference Modeling. EPIA (2021)
David Ribeiro, João Costa, Inês Lopes, Telmo Barbosa, Carlos Soares, Filipe Sousa, Jorge Ribeiro, Duarte Rocha, Marlos Silva
FILLET - Platform for Intelligent Nutrition. AICCSA (2020)
João Costa, Inês Lopes, André V. Carreiro, David Ribeiro, Carlos Soares
Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models. CLEF (Working Notes) (2020)
André Mateus, David Ribeiro, Pedro Miraldo, Jacinto C. Nascimento
Efficient and robust Pedestrian Detection using Deep Learning for Human-Aware Navigation. Robotics Auton. Syst. 113 (2019)
Jorge Ribeiro, David Ribeiro, Ayla Schwarz, Maria João M. Vasconcelos, Filomena Gerardo, Ciska van Harten, Riccardo Succu, Robbie Davison, Tiago Oliveira, Tiago Silva, Marlos Silva
Cordon Gris: Integrated solution for meal recommendations. PerCom Workshops (2018)
David Ribeiro, André Mateus, Pedro Miraldo, Jacinto C. Nascimento
A real-time Deep Learning pedestrian detector for robot navigation. ICARSC (2017)
David Ribeiro, João Machado, Jorge Ribeiro, Maria João M. Vasconcelos, Elsa F. Vieira, Ana Correia de Barros
SousChef: Mobile Meal Recommender System for Older Adults. ICT4AgeingWell (2017)
David Ribeiro, Gustavo Carneiro, Jacinto C. Nascimento, Alexandre Bernardino
Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection. IbPRIA (2017)
David Ribeiro, Jorge Ribeiro, Maria João M. Vasconcelos, Elsa F. Vieira, Ana Correia de Barros
SousChef: Improved Meal Recommender System for Portuguese Older Adults. ICT4AgeingWell (Selected Papers) (2017)
David Ribeiro, Jacinto C. Nascimento, Alexandre Bernardino, Gustavo Carneiro
Improving the performance of pedestrian detectors using convolutional learning. Pattern Recognit. 61 (2017)
David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo
A Real-Time Deep Learning Pedestrian Detector for Robot Navigation. CoRR (2016)
David Ribeiro, André Mateus, Jacinto C. Nascimento, Pedro Miraldo
A Real-Time Pedestrian Detector using Deep Learning for Human-Aware Navigation. CoRR (2016)
Jamie Galiastro, Hao Zhang, David Ribeiro, Anthony Mele, William Craelius, Kang Li
Development of a Tendon-Driven Dexterous Hand for Fine Manipulation. HCI (20) (2014)
Vânia Guimarães, David Ribeiro, Luís Rosado, Inês Sousa
A smartphone-based fall risk assessment tool: Testing Ankle Flexibility, Gait and Voluntary Stepping. MeMeA (2014)
Klaus Schaefers, David Ribeiro, Ana Correia de Barros
Beyond heat maps: mining common swipe gestures. MUM (2013)
Vânia Guimarães, David Ribeiro, Luís Rosado
A smartphone-based fall risk assessment tool: Measuring One Leg Standing, Sit to Stand and Falls Efficacy Scale. Healthcom (2013)
Ana Patricia Rocha, Oscar Pereira, David Ribeiro, José Maria Fernandes, João Paulo da Silva Cunha
MonitorMe: Online video monitoring for first responders using a smartphone. Healthcom (2013)
Klaus Schaefers, David Ribeiro
User Clustering in Smartphone Applications. pHealth (2012)
Ali Sengül, Attila Barsi, David Ribeiro, Hannes Bleuler
Role of Holographic Displays and Stereovision Displays in Patient Safety and Robotic Surgery. IAS (2) (2012)