Spain

ECAI 2020

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

cooperative coevolutionary algorithms

evolutionary algorithms

ensemble learning

multi-label classification

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!

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.

Heuristics for Link Prediction in Multiplex Networks

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks

EPNE: Evolutionary Pattern Preserving Network Embedding

Lifting Majority to Unanimity in Opinion Diffusion

Dynamic thresholding for learning sparse neural networks

A Region Selection Model to Identify Unknown Unknowns in Image Datasets

End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks

Unsupervised Learning of Interpretable Dialog Models

NASS: Optimizing Secure Inference via Neural Architecture Search

https://d3smihljt9218e.cloudfront.net/transcript/1002/subtitle/68176f942353cebd3567d55a813d46a7.vtt

English (automatic)

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

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Heuristics for Link Prediction in Multiplex Networks

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An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms

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Next from ECAI 2020

Heuristics for Link Prediction in Multiplex Networks

Similar lecture

An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers

Downloads