Spain

ECAI 2020

Exhaustive search of priority rules for on-line scheduling

priority rules

state space search

scheduling

 **RTSS 2021** has successfully concluded. Hope you have enjoyed it, and look forward to seeing you next year in person.
    Announcement for the Awards:
 * Best Paper Award goes to: Monte Carlo Response-Time Analysis, Sergey Bozhko, Georg von der Brüggen, and Björn Brandenburg
 * Best Student Paper Award goes to: Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems, Mohsen Shekarisaz, Lothar Thiele, and Mehdi Kargahi.
 * Best Solution Award for Industry Session goes to: Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, and Guozhen Tan.



IEEE RTSS 2021

The IEEE Real-Time Systems Symposium (RTSS) is the premier conference in the field of real-time systems, and is a venue for researchers and practitioners to showcase innovations covering all aspects of real-time systems, including theory, design, analysis, implementation, evaluation, and experience. 

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Inequity Aversion Pricing in Multi-Unit Markets

Explaining Non-Acceptability in Abstract Argumentation

The Quality of Content Publishing in the Digital Era

Minimality and Comparison of Sets of Multi-Attribute Vectors

Voting Rules from Random Relations

Auction Description Language (ADL): a General Framework for Representing Auction-based Markets

Comparing Topic-Aware Neural Networks for Bias Detection of News

The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections.

Verification of Neural Networks: Enhancing Scalability through Pruning

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm

https://d3smihljt9218e.cloudfront.net/transcript/1071/subtitle/3eee2513c8b0941dd7ced1f1482e09cf.vtt

English (automatic)

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Inequity Aversion Pricing in Multi-Unit Markets

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Models and tools to detect Real-Time Scheduling Anomalies

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Next from ECAI 2020

Inequity Aversion Pricing in Multi-Unit Markets

Similar lecture

Models and tools to detect Real-Time Scheduling Anomalies

Downloads