Spain

ECAI 2020

Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis

temporal qos prediction

kalman-filter

dynamic latent factor analysis

web service

cloud computing

 **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.

Causal query in observational data with hidden variables

Adversarial Learning for Overlapping Community Detection and Network Embedding

Gradual guaranteed coordination in repeated win-lose coordination games

From mixture of longitudinal and non-Gaussian advertising data to Click-Through-Rate prediction

Delving Deeper into the Decoder of Video Captioning

Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk

Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

Mean field theory for deep dropout networks

Adaptive Interaction Fusion Networks for Fake News Detection

https://d3smihljt9218e.cloudfront.net/transcript/948/subtitle/afb81d198d364fa77396ad28f66d5fc4.vtt

English (automatic)

Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis

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Causal query in observational data with hidden variables

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Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis

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Next from ECAI 2020

Causal query in observational data with hidden variables

Similar lecture

Cloud Computing for Time-Triggered Safety-Critical Systems

Downloads