Spain

ECAI 2020

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records

health analytics

electronic medical record embedding

medical risk prediction

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

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AAMAS 2021

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.

Robust Deep Subspace Discovery by a Multilayer Collaborative Low-Rank Coding Network

Hope Speech Detection: A Computational Analysis of the Voice of Peace

Classification Rules in Relaxed Logical Form

Learning Fairness-aware   Relational Structures

Abstract Interpretation based Robustness Certification for Graph Convolutional Networks

Object Allocation and Positive Graph Externalities

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection

Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors

Dedge AGMNet

An ASP semantics for Constraints involving Conditional Aggregates

https://d3smihljt9218e.cloudfront.net/transcript/1207/subtitle/d05e7255d90548f57e381a20022d8984.vtt

English (automatic)

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records

Downloads

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Robust Deep Subspace Discovery by a Multilayer Collaborative Low-Rank Coding Network

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Better Metrics for Evaluating Explainable Artificial Intelligence (Blue Sky Ideas Track)

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records

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Next from ECAI 2020

Robust Deep Subspace Discovery by a Multilayer Collaborative Low-Rank Coding Network

Similar lecture

Better Metrics for Evaluating Explainable Artificial Intelligence (Blue Sky Ideas Track)

Downloads