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Predicting the Colorectal Cancer Mortality in the Region of Lleida, Spain: A Machine Learning Study

Vertaisarvioitu
DOI
10.1007/978-3-031-55056-0_8
Florensa, Didac; Mateo, Jordi; Solsona, Francesc; Godoy, Pere; Espinosa-Leal, Leonardo
Proceedings in Adaptation, Learning and Optimization2024 Julkaisujen tiedon ikoni

Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark

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DOI
10.1007/978-3-031-55056-0_1
Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury
Proceedings in Adaptation, Learning and Optimization2024 Julkaisujen tiedon ikoni

Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications

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DOI
10.1007/978-3-031-61905-2_32
Akusok, Anton; Espinosa-Leal, Leonardo; Atsemegiorgis, Tamirat; Björk, Kaj-Mikael
Lecture Notes in Networks and Systems2024 Julkaisujen tiedon ikoni

Concrete aging factor prediction using machine learning

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Avoin saatavuus
DOI
10.1016/j.mtcomm.2024.109527
Taffese, Woubishet Zewdu; Wally, Gustavo Bosel; Magalhães, Fábio Costa; Espinosa-Leal, Leonardo
Materials Today Communications2024 Julkaisujen tiedon ikoni

Massive Offline Signature Forgery Detection with Extreme Learning Machines

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DOI
10.1007/978-3-031-55056-0_2
Espinosa-Leal, Leonardo; Li, Zhen; Hu, Renjie; Björk, Kaj-Mikael
Proceedings in Adaptation, Learning and Optimization2024 Julkaisujen tiedon ikoni

Predicting review helpfulness in video games: A comparative analysis of machine learning models and NLP integration

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Avoin saatavuus
Olmedilla, Maria; Espinosa-Leal, Leonardo; Romero-Moreno, Jose Carlos; Li, Zhen
IADIS International Journal on WWW/Internet2024 Julkaisujen tiedon ikoni

Unsupervised Handwritten Signature Verification with Extreme Learning Machines

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DOI
10.1007/978-3-031-21678-7_12
Akusok, Anton; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael
Proceedings of ELM 20212023 Julkaisujen tiedon ikoni

Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy

Vertaisarvioitu
DOI
10.1109/TFUZZ.2016.2594275
Morente-Molinera, Juan Antonio; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique
IEEE transactions on fuzzy systems2017 Julkaisujen tiedon ikoni

Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification

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DOI
10.1007/978-3-031-55056-0_3
Estévez, Virginia; Mattbäck, Stefan; Björk, Kaj-Mikael
Proceedings of ELM 20222024 Julkaisujen tiedon ikoni

Fusing extreme learning machine with convolutional neural network

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Akusok, Anton; Björk, Kaj-Mikael
Arcada Working Papers2021

Predicting the Colorectal Cancer Mortality in the Region of Lleida, Spain: A Machine Learning Study

Vertaisarvioitu
DOI
10.1007/978-3-031-55056-0_8
2024

Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark

Vertaisarvioitu
DOI
10.1007/978-3-031-55056-0_1
2024

Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications

Vertaisarvioitu
DOI
10.1007/978-3-031-61905-2_32
2024

Concrete aging factor prediction using machine learning

Vertaisarvioitu
Avoin saatavuus
DOI
10.1016/j.mtcomm.2024.109527
2024

Massive Offline Signature Forgery Detection with Extreme Learning Machines

Vertaisarvioitu
DOI
10.1007/978-3-031-55056-0_2
2024

Predicting review helpfulness in video games: A comparative analysis of machine learning models and NLP integration

Vertaisarvioitu
Avoin saatavuus
2024

Unsupervised Handwritten Signature Verification with Extreme Learning Machines

Vertaisarvioitu
DOI
10.1007/978-3-031-21678-7_12
2023

Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy

Vertaisarvioitu
DOI
10.1109/TFUZZ.2016.2594275
2017

Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification

Vertaisarvioitu
DOI
10.1007/978-3-031-55056-0_3
2024

Fusing extreme learning machine with convolutional neural network

Avoin saatavuus
2021