Spain

ECAI 2020

Comparing Topic-Aware Neural Networks for Bias Detection of News

topic model

machine learning

text 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.

The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections.

Verification of Neural Networks: Enhancing Scalability through Pruning

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm

Applying the Closed World Assumption to SUMO-based FOL Ontologies for Effective Commonsense Reasoning

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks

How Much Knowledge is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report)

Human Activity Recognition from Wearable Sensor Data Using Self-Attention

Learning Temporal Action Models via Constraint Programming

Finite and Con dent Teaching in Expectation: Sampling from In finite Concept Classes

A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching

https://d3smihljt9218e.cloudfront.net/transcript/1081/subtitle/3891f6913d3742ea4cbaea747ae48116.vtt

English (automatic)

Comparing Topic-Aware Neural Networks for Bias Detection of News

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The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections.

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The use of machine learning in the classification of electronic lawsuits: an application in the Court of Justice of Minas Gerais

Comparing Topic-Aware Neural Networks for Bias Detection of News

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Next from ECAI 2020

The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections.

Similar lecture

The use of machine learning in the classification of electronic lawsuits: an application in the Court of Justice of Minas Gerais

Downloads