Spain

ECAI 2020

SAI: A Sensible Artificial Intelligence that plays Go

alphago zero

games

training

neural networks

reinforcement learning

 **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.

Measurable Counterfactual Local Explanations for Any Classifier

Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks

A Framework for Determining the Fairness of Outlier Detection

Dual Attention-based Adversarial Autoencoder for Attributed Network Embedding

Global Propagation of Transition Cost for Fixed Job Scheduling

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams

Automatic Extraction of Leaf Venation Complex Networks

Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks

Election Score Can Be Harder Than Winner

Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation

https://d3smihljt9218e.cloudfront.net/transcript/1164/subtitle/a0f8283b541268fb786c4f1d1d9fbfdf.vtt

English (automatic)

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Measurable Counterfactual Local Explanations for Any Classifier

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Catch Me If You Learn: Real-Time Attack Detection and Mitigation in Learning Enabled CPS

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Next from ECAI 2020

Measurable Counterfactual Local Explanations for Any Classifier

Similar lecture

Catch Me If You Learn: Real-Time Attack Detection and Mitigation in Learning Enabled CPS

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