Spain

ECAI 2020

Classification Rules in Relaxed Logical Form

rule-based classifiers

milp

interpretable machine learning

incremental learning

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. 

AAAI 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.

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

Implementing Dynamic Answer Set Programming over finite traces

Robust Constraint Acquisition by Sequential Analysis

Strong Refinements for Hard Problems in Argumentation Dynamics

https://d3smihljt9218e.cloudfront.net/transcript/1211/subtitle/82d4264bd8fcb2354e525f2276e93d2b.vtt

English (automatic)

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Learning Fairness-aware Relational Structures

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Learning Accurate and Interpretable Decision Rule Sets from Neural Networks

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Next from ECAI 2020

Learning Fairness-aware Relational Structures

Similar lecture

Learning Accurate and Interpretable Decision Rule Sets from Neural Networks

Downloads