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Progress in Artificial Intelligence Q3 Unclaimed

Springer Nature Germany

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Progress in Artificial Intelligence is a journal indexed in SJR in Artificial Intelligence with an H index of 32. It has a price of 2190 €. It has an SJR impact factor of 0,476 and it has a best quartile of Q3. It is published in English. It has an SJR impact factor of 0,476.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q3)

Price

2190 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,476

SJR Impact factor

32

H Index

38

Total Docs (Last Year)

82

Total Docs (3 years)

1681

Total Refs

310

Total Cites (3 years)

82

Citable Docs (3 years)

3.71

Cites/Doc (2 years)

44.24

Ref/Doc

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Paladyn Q3
International Journal of Intelligent Robotics and Applications Q3
Intelligenza Artificiale Q3
Cybernetics and Systems Q3
Annals of Mathematics and Artificial Intelligence Q3

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Aims and Scope

Best articles by citations

A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters

Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

Conformal predictors

Accuracy-diversity based pruning of classifier ensembles

SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles

Instance selection improves geometric mean accuracy: a study on imbalanced data classification

Multi-level diversification approach of semantic-based image retrieval results

Heart: a novel optimization algorithm for cluster analysis

Effective real-time visual object detection

Scatter search for the bi-criteria p-median p-dispersion problem

Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market

A self-adaptive evolutionary weighted extreme learning machine for binary imbalance learning

SHOW MORE ARTICLES

Early anticipation of driver's maneuver in semiautonomous vehicles using deep learning

Optimizing different loss functions in multilabel classifications

Label prediction on issue tracking systems using text mining

Improved image registration in skull-face overlay using expert knowledge

A chaotic salp swarm algorithm based on quadratic integrate and fire neural model for function optimization

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark

Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics

Data clustering using hidden variables in hybrid Bayesian networks

A learning system based on lazy metareasoning

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

Special issue: Multi-Agent Systems applications in transport

A refined method of forecasting based on high-order intuitionistic fuzzy time series data