Spain

ECAI 2020

Automatic Extraction of Leaf Venation Complex Networks

graph processing

image segmentation

complex networks

The 9th Brazilian Conference on Intelligent Systems (BRACIS), the 16h Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), and the 12th Concurso de Teses e Dissertações em Inteligência Artificial e Computacional (CTDIAC) was held from 20 to 23 October, 2020.

BRACIS originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (22 editions), and the Brazilian Symposium on Neural Networks - SBRN (13 editions). ENIAC is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. CTDIAC is a satellite event whose goals are to disseminate and award the best dissertations and theses (MSc and PhDs concluded in Brazilian universities from June 2018 to May 2020) in Artificial and Computational Intelligence areas.

In this year, the Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) will be held in conjunction with BRACIS 2020. This sysposium aims at integrating researchers, practitioners, developers, students and users to present their research results, to discuss ideas, and to exchange techniques, tools, and practical experiences – related to the Data Mining and Machine Learning areas.

BRACIS 2020

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!

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

Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning

Uniform State Abstraction For Reinforcement Learning

A Lagrangian Approach to Information Propagation in Graph Neural Networks

A Compact Spectral Descriptor for Shape Deformations

Coulomb Autoencoders

A Knowledge-based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting

SETNet : A Novel Semi-Supervised Approach for Semantic Parsing

https://d3smihljt9218e.cloudfront.net/transcript/1175/subtitle/3411a1bf254f3bec2bfb28e4c7c6d409.vtt

English (automatic)

Automatic Extraction of Leaf Venation Complex Networks

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

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CONFERENCES

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Automatic Extraction of Leaf Venation Complex Networks

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Next from ECAI 2020

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

Similar lecture

Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads