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
Location: Auditorium
Date: Monday, 27/Nov/2023
12:45pm - 2:00pm1: Check-in and Onsite Registration
Location: Auditorium

Date: Tuesday, 28/Nov/2023
8:30am - 9:00am7: Check-in and Onsite Registration
Location: Auditorium
9:00am - 9:30am8: Opening Session
Location: Auditorium
9:30am - 10:30am9: Lecture by Petia Radeva
Location: Auditorium
Title: What is common between Self-supervised learning and Food Fine-grained recognition?!
11:00am - 12:00pm11: Oral Session 1: Machine Learning and Image Analysis
Location: Auditorium
Session Chair: Gonçalo Marques

Date: Wednesday, 29/Nov/2023
8:30am - 9:00am14: Check-in and Onsite Registration
Location: Auditorium
9:00am - 10:00am15: Lecture by João Manuel R. S. Tavares
Location: Auditorium
Title: Segmentation of Objects in Engineering and Biomedicine: Techniques and Applications
11:00am - 12:00pm17: Oral Session 2: Nominated for Best Paper
Location: Auditorium
Session Chair: Francesc Serratosa
2:00pm - 3:20pm19: Oral Session 3: Applications of Deep Learning
Location: Auditorium
Session Chair: Yandre M. G. Costa
4:20pm - 5:20pm21: Oral Session 4: Nominated for Best Student Paper
Location: Auditorium
Session Chair: Juan Tapia

Date: Thursday, 30/Nov/2023
8:30am - 9:00am22: Check-in and Onsite Registration
Location: Auditorium
9:00am - 10:00am23: Lecture by João Paulo Papa
Location: Auditorium
Title: Recent Advances in Pattern Classification Using Optimum-Path Forest
11:00am - 12:00pm25: Oral Session 5: Graph Analysis
Location: Auditorium
Session Chair: Alceu de Souza Britto
2:00pm - 3:20pm27: Oral Session 6: Human and Artificial Learning
Location: Auditorium
Session Chair: Rui Pedro Lopes
4:20pm - 5:20pm29: Closing ceremony
Location: Auditorium