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Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

Torna all'elenco Report e working Paper anno 2019

Report e working Paper

Tipo: Working paper

Titolo: Towards Ontology-based Explainable Classification of Rare Events

Anno di pubblicazione: 2019

Formato: Elettronico

Autori: Cardillo F.A.; Straccia U.

Affiliazioni autori: CNR-ILC, Pisa, Italy; CNR-ISTI, Pisa, Italy

Autori CNR:

  • FRANCO ALBERTO CARDILLO
  • UMBERTO STRACCIA

Lingua: inglese

Abstract: Rare events (e.g. major floods, violent conflicts) are events that have potentially widespread and/or disastrous impact on society. The overall goal is to build a framework capable to classify, predict and explain such rare events. To do so, we envisage the usage of a mixture of sub-symbolic Machine Learning (ML) and Ontology-based Statistical Relatio-nal Learning (OSRL) techniques to generate rare events classifiers and predictors, which additionally may be mapped into natural language to ease human interpretability of the decision process.

Lingua abstract: inglese

Pagine da: 1

Pagine a: 2

Pagine totali: 2

Parole chiave:

  • Ontologies Explainable Classification of Rare Events
  • Statistical Relational Machine Learning

URL: https://hal.archives-ouvertes.fr/hal-02104520

Strutture CNR:

Moduli:

Allegati: RareEvents (application/pdf)

 
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