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March 7th, 2023
Daniela Lopez de Luise
March 6th, 2023
Daniela Lopez de Luise
March 6th, 2023
Daniela Lopez de Luise
March 6th, 2023
Daniela Lopez de Luise Lecturer and Affiliation:
Alejandro Moreo, alejandro.moreo@isti.cnr.it
Fabrizio Sebastiani, fabrizio.sebastiani@isti.cnr.it
Host Institution: Italian National Council of Research (CNR), Institute for the Science and Technologies of Information (ISTI)
Content and organization: The goal of the course is to present an introduction to and a survey of the main approaches to Learning to Quantify (LtQ, also known as “quantification”, or “supervised prevalence estimation”). This task consists of training, from a set of data items labelled with class labels, a predictor that estimates, in a set of unlabelled data items, the prevalence values (i.e., relative frequencies) of the classes. Quantification thus stands to classification as aggregate data stand to individual data. While quantification may be trivially accomplished by training a standard classifier, classifying all the data items, counting the data items which have been assigned to each class, and then normalizing the resulting counts, it has been shown that this “classify and count” approach may be severely inaccurate, especially in scenarios characterized by “dataset shift”, i.e., by a substantial difference between the distribution of the items in the training data and the analogous distribution in the unlabelled data. This course will introduce the task of Learning to Quantify and its applications, discuss dataset shift, present supervised methods for training quantifiers, discuss evaluation measures and evaluation protocols for quantification, and assess the relative methods of different quantification methods. A hands-on session will also be offered, using a suite (called QuaPy) of tools for quantification implemented by the proposers using Python and Scikit-Learn.
Course Level: Postgraduate
Course duration: 8 hours (4 lectures, 2 hours each)
Course Type: Short course
Participation terms: Free for everybody.
Both AIDA and non-AIDA students are encouraged to participate in this short course.
If you are an AIDA Student* already, please:
Step (a): Register in the course by sending an email to the Course Lecturer alejandro.moreo@isti.cnr.it for your registration.
AND
Step (b): Enroll in the same course in the AIDA course link (TBA) using the ‘Enroll on this course’ button, so that this course enters your AIDA Certificate of Course Attendance.
If you are not an AIDA Student do only step (a).
*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)
Lectures plan:
Thursday, March 9, 2023 – 10:00 to 12:00 CET
Tuesday, March 14, 2023 – 10:00 to 12:00 CET
Thursday, March 16, 2023 – 10:00 to 12:00 CET
Tuesday, March 21, 2023 – 10:00 to 12:00 CET
Language: English
Modality: online
Course link: https://learning2quantifyaida.github.io/course/
March 6th, 2023
Daniela Lopez de Luise Call for Participation & Call for Papers (apologies for multiple copies)
_______________________________________________________________
The 3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience
September 22-26, 2023
The Wordsworth Hotel & SPA, Grasmere, Lake District, England – UK
W: https://acain2023.icas.cc
E: acain@icas.cc
FB: https://www.facebook.com/ACAIN.LakeDistrict/
Early Registration (Symposium & Course): by May 31
https://acain2023.icas.cc/registration/
PAPER SUBMISSION DEADLINE (Symposium): by March 31
https://acain2023.icas.cc/symposium-call-for-papers/
https://easychair.org/conferences/?conf=acain2023
SCOPE & MOTIVATION:
ACAIN 2023: AI meets Computational Neuroscience and Cognitive Science
The ACAIN 2023 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science.
The 3rd Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium at the The Wordsworth Hotel & SPA in Grasmere – Lake District, England – UK on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.
Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 25-26), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-24).
Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium – ACAIN 2023, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2023 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience.
The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders.
The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event.
COURSE DESCRIPTION:
https://acain2023.icas.cc/course-description/
LECTURERS:
https://acain2023.icas.cc/course-lecturers/
Aldo Faisal, Imperial College London
Karl Friston, University College London
Kenneth Harris, University College London
Rosalyn Moran, King's College London
Edmund Rolls, University of Oxford
Michael Wooldridge, University of Oxford
More Speakers to be announced soon!
SYMPOSIUM CALL FOR PAPERS:
https://acain2023.icas.cc/symposium-call-for-papers/
SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members):
https://acain2023.icas.cc/program-committee/
Submission site: https://easychair.org/conferences/?conf=acain2023
DEADLINES:
https://acain2023.icas.cc/deadlines/
Paper Submission (Symposium): by Friday March 31, 2023 (AoE).
Notification of Decision for Papers (Symposium): by Monday May 15, 2023.
Camera Ready Submission: by Thursday May 25.
Oral/Poster Presentation Submission (Course): by Friday March 31, 2023.
Notification of Decision for Oral/Poster Presentation (Course): by Monday May 15, 2023.
Early Registration (Symposium & Course): by Wednesday May 31, 2023.
Late Registration (Symposium & Course): from Thursday June 1, 2023.
ORGANIZING COMMITTEE:
https://acain2023.icas.cc/symposium-committee/
VENUE & ACCOMMODATION:
https://acain2023.icas.cc/venue/
The Wordsworth Hotel & Spa (****)
Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK
P: +44-1539-435592
E: reception@thewordsworthhotel.co.uk
W: www.thewordsworthhotel.co.uk
You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA.
The Form for accommodation, all meals (all breakfasts, lunches, dinners): TBA
ACCOMMODATION:
https://acain2023.icas.cc/accommodation/
ACTIVITIES:
https://acain2023.icas.cc/activities/
WALKS:
https://acain2023.icas.cc/walks/
REGISTRATION:
https://acain2023.icas.cc/registration/
See you in Lake District in September!
Panos Pardalos & Giuseppe Nicosia – ACAIN 2023 Chairs.
POSTER: https://acain2023.icas.cc/wp-content/uploads/sites/24/2023/01/ACAIN-2023-poster.png
E: acain@icas.cc
W: https://acain2023.icas.cc/
FB: https://www.facebook.com/ACAIN.LakeDistrict