A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models (ECBS 2023) - ECBS 2023

Mon 16 - Wed 18 October 2023 Västerås, Sweden

Who

Ali Teymur Kahraman, Tomas Fröding, Dimitrios Toumpanakis, Mikael Fridenfalk, Christian Jamtheim Gustafsson, Tobias Sjöblom

Track

Time Zone

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When

Wed 18 Oct 2023 10:30 - 10:50 at Pi - Learning and Neural Networks Chair(s): Leo Hatvani

Link to Preprint

https://www.idt.mdu.se/ecbs2023/pre-prints/paper_6781.pdf

Ali Teymur Kahraman

Uppsala University

Sweden

Tomas Fröding

Dimitrios Toumpanakis

Mikael Fridenfalk

Christian Jamtheim Gustafsson

Tobias Sjöblom

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Wed 18 Oct
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	10:30 - 12:00	Learning and Neural NetworksECBS 2023 at Pi Chair(s): Leo Hatvani Mälardalen University

	10:30 20m Research paper		A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models ECBS 2023 Ali Teymur Kahraman Uppsala University, Tomas Fröding , Dimitrios Toumpanakis , Mikael Fridenfalk , Christian Jamtheim Gustafsson , Tobias Sjöblom Pre-print
	10:50 20m Research paper		Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks ECBS 2023 Murat Isik , Kayode Inadagbo Pre-print
	11:10 30m Research paper		Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSP ECBS 2023 Ivan Prokić University of Novi Sad, Silvia Ghilezan University of Novi Sad, Mathematical Institute SASA, Simona Kašterović , Miroslav Popovic University of Novi Sad, Marko Popovic Institute RT-RK, Ivan Kaštelan University of Novi Sad Pre-print
	11:40 20m Research paper		Combining Machine Learning and Virtual Reality to Build an Attractive Job Recommender System for Youth: Technical Details and Experimental Data ECBS 2023 Maria-Iuliana Dascalu University POLITEHNICA of Bucharest, Andrei-Sergiu Bumbacea , Ioan-Alexandru Bratosin , Iulia-Cristina Stanica , Constanta Nicoleta Bodea Academy of Economic Studies Pre-print