Artificial Intelligence applied to Ecology and Behavioural studies
Event
20 - 23 June 2023
Students will learn how to apply machine learning to answer relevant questions in ecology and behavioural studies. Students will be given a brief overview of the fundamentals of artificial intelligence, more specifically on the use of deep learning and its applications in solving real-world problems faced by researchers working with large animal based datasets. This course will teach students how to create deep learning-based algorithms that can efficiently extract information from various forms of data, such as images and videos.
PROGRAM (24 hours)
June 20th, 2023
BIOPOLIS-CIBIO, Vairão, Portugal (Face-to-face)
20 - 23 June 2023
Students will learn how to apply machine learning to answer relevant questions in ecology and behavioural studies. Students will be given a brief overview of the fundamentals of artificial intelligence, more specifically on the use of deep learning and its applications in solving real-world problems faced by researchers working with large animal based datasets. This course will teach students how to create deep learning-based algorithms that can efficiently extract information from various forms of data, such as images and videos.
PROGRAM (24 hours)
Day 01 | June 20, 2023
| 9:45-13:00
Data collection in ecology and behavioural studies – overview, current challenges and AI as a potential solution
| 14:00-17:45
Artificial intelligence fundaments and current applications
Datasets in the context of machine learning
Day 02 | June 21, 2023
| 9:45-13:00
Introduction todata manipulation and data pre-processing in python
Machine learningin python
Introduction todata manipulation and data pre-processing in python
Machine learningin python
| 14:00-17:45
Introduction to Convolution Neural Networks (CNN)
Pipeline for training a CNN
Day 03 | June 22, 2023
| 9:45-13:00
Animal localization using YOLO
Image segmentation using U-Net and Mask R-CNN
| 14:00-17:45
Species and individual recognition using CNNs
CNNs with multiple inputs and Long Short-Term Memory (LSTM) networks
Day 04 | June 23, 2023
| 9:45-13:00
Designing a project to implement an AI workflow
| 14:00-17:45
Designing a project to implement an AI workflow
Designing a project to implement an AI workflow
COURSE INSTRUCTORS
André Ferreira (Coordinator) | BIOPOLIS/CIBIO-InBIO, University of Zurich | SOCIALITY
Liliana Silva | BIOPOLIS/CIBIO-InBIO
SELECTION CRITERIA
The course will be open to a maximum number of 12 participants.
75% of available student slots are reserved for BIODIV students.
Priority will be given to:
• 1st year and other PhD students attending the BIODIV Doctoral Program;
• PhD students attending other courses;
• Other post-graduate students and researchers.
REGISTRATION
80€ (students) | 150€ (other participants). CIBIO-InBIO members will have an additional discount of 20%
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Participation is free of charge for MBGE, BIODIV Students & CIBIO's TwinLabs
Registration fees do not include accommodation or meals
Registration deadline: May 11, 2023
To apply, please fill the form available HERE