Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Date: Wednesday, 29/Nov/2023
8:30am
-
9:00am
14: Check-in and Onsite Registration
Location: Auditorium
9:00am
-
10:00am
15: Lecture by João Manuel R. S. Tavares
Location: Auditorium
Title: Segmentation of Objects in Engineering and Biomedicine: Techniques and Applications
10:00am
-
11:00am
16: Coffee Break & Posters Session 1: Data Analysis and Machine Learning
Location: Polivalente
 

Graph Embedding of almost constant large graphs

Francesc Serratosa



Uncovering manipulated files using mathematical natural laws

Pedro Alexandre Fernandes, Séamus Ó Ciardhuáin, Mário Antunes



Vehicle Re-Identification based on unsupervised domain adaptation by incremental generation of Pseudo-labels

Paula Moral, Álvaro García-Martín, José M. Martínez



How to turn your camera into a perfect pinhole model

Ivan De Boi, Stuti Pathak, Marina Oliveira, Rudi Penne



Abandoned Object Detection Using Persistent Homology

Javier Lamar Leon, Raul Alonso Baryolo, Rocio Gonzales Diaz, Edel Garcia Reyes



Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition

Miguel Matey-Sanz, Joaquín Torres-Sospedra, Alberto González-Pérez, Sven Casteleyn, Carlos Granell



YOLOMM – You Only Look Once for Multi-modal Multi-tasking

Filipe Campos, Francisco Gonçalves Cerqueira, Ricardo P. M. Cruz, Jaime S. Cardoso



Towards Robust Defect Detection in Casting Using Contrastive Learning

Eneko Intxausti Arbaiza, Ekhi Zugasti, Carlos Cernuda



DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method

Diego Minatel, Antonio R. S. Parmezan, Mariana Curi, Alneu de Andrade Lopes



Improving Pest Detection via Transfer Learning

Dinis Costa, Catarina Silva, Joana Costa, Bernardete Ribeiro



Single Image HDR Synthesis with Histogram Learning

Huei-Yung Lin, Yi-Rung Lin, Wen-Chieh Lin



Deblur Capsule Networks

Daniel Felipe Silva Santos, Joao Paulo Papa

11:00am
-
12:00pm
17: Oral Session 2: Nominated for Best Paper
Location: Auditorium
Chair: Francesc Serratosa
 

Detection of Covid-19 in chest X-ray images using percolation features and Hermite polynomial classification

Guilherme Freire Roberto, Danilo César Pereira, Alessandro Santana Martins, Thaína Aparecida Azevedo Tosta, Carlos Soares, Leandro Alves Neves, Marcelo Zanchetta Nascimento



Graph-based feature learning from image markers

Isabela Borlido, Leonardo João, Zenilton Patrocinio Jr, Ewa Kijak, Alexandre Falcão, Silvio GUIMARAES



Seabream Freshness Classification using Vision Transformers

João Rodrigues, Osvaldo Pacheco, Paulo Correia

12:00pm
-
2:00pm
18: Lunch
Location: Polivalente
2:00pm
-
3:20pm
19: Oral Session 3: Applications of Deep Learning
Location: Auditorium
Chair: Yandre M. G. Costa
 

Active Supervision: Human in the Loop

Ricardo P. M. Cruz, ASM Shihavuddin, Hasan Maruf, Jaime S. Cardoso



An end-to-end Deep Learning approach for video captioning through mobile devices

Rafael Jeferson Pezzuto Damaceno, Roberto Marcondes Cesar Junior



Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography

Raquel Belo, Joana Rocha, João Pedrosa



Unveiling the Influence of Image Super-Resolution on Aerial Scene Classification

Mohamed Ramzy Ibrahim, Robert Benavente, Daniel Ponsa, Felipe Lumbreras

3:20pm
-
4:20pm
20: Coffee Break & Posters Session 2: Medical Imaging and Healthcare Applications
Location: Polivalente
 

Spatial-Temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions

Kevin Feghoul, Deise Santana Maia, Mehdi El Amrani, Mohamed DAOUDI, Ali Amad



Deep learning in the identification of psoriatic skin lesions

Gabriel Silva Lima, Carolina Pires, Arlete Teresinha Beuren, Rui Pedro Lopes



Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease

José Carlos Nunes Maurício, Inês Campos Monteiro Sabino Domingues



Depression Detection using Deep Learning and Natural Language Processing Techniques: A comparative study

Francisco Grabriel Fonseca Mesquita, José Carlos Nunes Maurício, Gonçalo Miguel Santos Marques



Classify NIR Iris images Under Alcohol/Drugs/Sleepiness Conditions Using a Siamese Network

Juan Tapia, Christoph Busch



Multi-conformation aproach of ENM-NMA dynamic based descriptors for HIV drug resistance prediction

Jorge A Jiménez Garí, Mario Pupo Meriño, Héctor Gonzalez Diez, Francesc J Ferri



Facial Point Graphs for Sroke Identification

Nicolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo Oliveira, Mateus Roder, Joao Paulo Papa



Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions

Luana Barros, Levy Chaves, Sandra Avila



Mortality prediction via logistic regression in intensive care unit patients with pneumonia

Nuno Pedrosa, Sónia Gouveia



ECG Feature-based Classification of Induced Pain Levels

Daniela Filipa da Silva Pais, Ana Raquel Ferreira de Almeida Sebastião

4:20pm
-
5:20pm
21: Oral Session 4: Nominated for Best Student Paper
Location: Auditorium
Chair: Juan Tapia
 

Does Emotional States Influence Physiological Pain Responses?

Bruna Alves, Catarina Silva, Raquel Sebastião



Interactive segmentation with incremental watershed cuts

Quentin Lebon, Josselin Lefèvre, Jean Cousty, Benjamin Perret



Leveraging Question Answering for Domain-Agnostic Information Extraction

Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Catarina Silva

7:30pm
-
10:30pm
30: Conference dinner

 
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