Conference Agenda

Session Overview
Location: Auditorium
 
Date: Monday, 27/Nov/2023
12:45pm
-
2:00pm
1: Check-in and Onsite Registration
Location: Auditorium

 
Date: Tuesday, 28/Nov/2023
8:30am
-
9:00am
7: Check-in and Onsite Registration
Location: Auditorium
9:00am
-
9:30am
8: Opening Session
Location: Auditorium
9:30am
-
10:30am
9: Lecture by Petia Radeva
Location: Auditorium
Title: What is common between Self-supervised learning and Food Fine-grained recognition?!
11:00am
-
12:00pm
11: Oral Session 1: Machine Learning and Image Analysis
Location: Auditorium
Chair: Gonçalo Marques

 
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
11:00am
-
12:00pm
17: Oral Session 2: Nominated for Best Paper
Location: Auditorium
Chair: Francesc Serratosa
2:00pm
-
3:20pm
19: Oral Session 3: Applications of Deep Learning
Location: Auditorium
Chair: Yandre M. G. Costa
4:20pm
-
5:20pm
21: Oral Session 4: Nominated for Best Student Paper
Location: Auditorium
Chair: Juan Tapia

 
Date: Thursday, 30/Nov/2023
8:30am
-
9:00am
22: Check-in and Onsite Registration
Location: Auditorium
9:00am
-
10:00am
23: Lecture by João Paulo Papa
Location: Auditorium
Title: Recent Advances in Pattern Classification Using Optimum-Path Forest
11:00am
-
12:00pm
25: Oral Session 5: Graph Analysis
Location: Auditorium
Chair: Alceu de Souza Britto
2:00pm
-
3:20pm
27: Oral Session 6: Human and Artificial Learning
Location: Auditorium
Chair: Rui Pedro Lopes
4:20pm
-
5:20pm
29: Closing ceremony
Location: Auditorium