Progress in Artificial Intelligence View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

N/A

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/13748

Recent publications latest 20 shown

  • 2019-04-12 Improving transparency of deep neural inference process
  • 2019-03-28 Label prediction on issue tracking systems using text mining
  • 2019-03-14 Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies
  • 2019-03-11 Early anticipation of driver’s maneuver in semiautonomous vehicles using deep learning
  • 2019-03-11 OCAPIS: R package for Ordinal Classification and Preprocessing in Scala
  • 2019-03-09 Semantic textual similarity between sentences using bilingual word semantics
  • 2019-03-05 Dynamical memetization in coral reef optimization algorithms for optimal time series approximation
  • 2019-03-04 A comparative study of the evolutionary many-objective algorithms
  • 2019-03-04 Query expansion based on clustering and personalized information retrieval
  • 2019-02-07 A decision-making approach where argumentation added value tackles social choice deficiencies
  • 2019-02-06 Instance selection improves geometric mean accuracy: a study on imbalanced data classification
  • 2019-01-14 Ensemble of classifier chains and Credal C4.5 for solving multi-label classification
  • 2019-01-09 Granular-based decomposition of complex fuzzy context and its analysis
  • 2019-01-01 Face segmentation based on level set and improved DBM prior shape
  • 2018-12-11 Path planning of a mobile robot in a free-space environment using Q-learning
  • 2018-12 A common framework for learning causality
  • 2018-12 A case study at the Nissan Barcelona factory to minimize the ergonomic risk and its standard deviation in a mixed-model assembly line
  • 2018-12 Exploring the association between mobility behaviours and academic performances of students: a context-aware traj-graph (CTG) analysis
  • 2018-12 A refined method of forecasting based on high-order intuitionistic fuzzy time series data
  • 2018-12 Estimating attraction basin sizes of combinatorial optimization problems
  • JSON-LD is the canonical representation for SciGraph data.

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