Spain

ECAI 2020

The Automated Inspection of Opaque Liquid Vaccines

opaque liquid vaccines

machine learning

deep learning

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.

technical paper

Structure Matters: Towards Generating Transferable Adversarial Images

Explicit Negation in Linear-Dynamic Equilibrium Logic

Rapidly finding the Best Arm using Variance

Permutation Learning via Lehmer Codes

Evaluation of Analogical Arguments by Choquet Integral

Fair in the eyes of others

Foreground detection by probabilistic mixture models using semantic information from deep networks

Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining

The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models

Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

https://d3smihljt9218e.cloudfront.net/transcript/1041/subtitle/6d7ccc75f5292809d8b9b669f36d4137.vtt

English (automatic)

The Automated Inspection of Opaque Liquid Vaccines

Downloads

Next from ECAI 2020

Structure Matters: Towards Generating Transferable Adversarial Images

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Classifying the classifier: dissecting the weight space of neural networks

The Automated Inspection of Opaque Liquid Vaccines

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Next from ECAI 2020

Structure Matters: Towards Generating Transferable Adversarial Images

Similar lecture

Classifying the classifier: dissecting the weight space of neural networks

Downloads