Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning (MODELS 2022 - Journal-first) - MODELS 2022

Sun 23 - Fri 28 October 2022 Montréal, Canada

Who

Juan Marcelo Parra, Antonio Garcia-Dominguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang

Track

MODELS 2022 Journal-first

Time Zone

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When

Thu 27 Oct 2022 15:52 - 16:15 at A-4502.1 - AI for/with MDE II Chair(s): Tao Yue

Link to Publication

https://doi.org/10.1007/s10270-021-00952-4

Juan Marcelo Parra

Aston University

Ecuador

Antonio Garcia-Dominguez

University of York

United Kingdom

Nelly Bencomo

Durham University

United Kingdom

Changgang Zheng

Chen Zhen

Juan Boubeta-Puig

University of Cadiz

Spain

Guadalupe Ortiz

Shufan Yang

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

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).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Thu 27 Oct
Displayed time zone: Eastern Time (US & Canada) change

	15:30 - 17:00	AI for/with MDE IIJournal-first / Technical Track / Tools & Demonstrations at A-4502.1 Chair(s): Tao Yue Simula Research Laboratory

	15:30 22m Talk		DescribeML: a tool for describing machine learning datasetsDemo Tools & Demonstrations Joan Giner Universitat Oberta de Catalunya, Abel Gómez Universitat Oberta de Catalunya, Jordi Cabot Open University of Catalonia, Spain Pre-print Media Attached
	15:52 22m Talk		Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learningJ1st Journal-first Juan Marcelo Parra Aston University, Antonio Garcia-Dominguez University of York, Nelly Bencomo Durham University, Changgang Zheng , Chen Zhen , Juan Boubeta-Puig University of Cadiz, Guadalupe Ortiz , Shufan Yang Link to publication
	16:15 22m Talk		MoDLF A Model-Driven Deep Learning Framework for Autonomous Vehicle Perception (AVP)FT Technical Track Aon Safdar Department of Computers and Software Engineering, College of E&ME,NUST, Islamabad, Pakistan, Farooque Azam Department of Computers and Software Engineering, College of E&ME,NUST, Islamabad, Pakistan, Muhammad Waseem Anwar Department of Innovation, Design and Engineering Malardalen University, Usman Akram Department of Computers and Software Engineering, College of E&ME,NUST, Islamabad, Pakistan, Yawar Rasheed Department of Computers and Software Engineering, College of E&ME,NUST, Islamabad, Pakistan
	16:37 22m Talk		Assisting in Requirements Goal Modeling: A Hybrid Approach based on Machine Learning and Logical ReasoningFT Technical Track Qixiang Zhou Beijing University of Technology, Tong Li Beijing University of Technology, Yunduo Wang School of Software, Beihang University