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Predicting the Colorectal Cancer Mortality in the Region of Lleida, Spain: A Machine Learning Study
Peer-reviewed
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 Optimization
2024
Publications information icon
Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark
Peer-reviewed
DOI
10.1007/978-3-031-55056-0_1
Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury
Proceedings in Adaptation, Learning and Optimization
2024
Publications information icon
Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications
Peer-reviewed
DOI
10.1007/978-3-031-61905-2_32
Akusok, Anton; Espinosa-Leal, Leonardo; Atsemegiorgis, Tamirat; Björk, Kaj-Mikael
Lecture Notes in Networks and Systems
2024
Publications information icon
Concrete aging factor prediction using machine learning
Peer-reviewed
Open access
DOI
10.1016/j.mtcomm.2024.109527
Taffese, Woubishet Zewdu; Wally, Gustavo Bosel; Magalhães, Fábio Costa; Espinosa-Leal, Leonardo
Materials Today Communications
2024
Publications information icon
Massive Offline Signature Forgery Detection with Extreme Learning Machines
Peer-reviewed
DOI
10.1007/978-3-031-55056-0_2
Espinosa-Leal, Leonardo; Li, Zhen; Hu, Renjie; Björk, Kaj-Mikael
Proceedings in Adaptation, Learning and Optimization
2024
Publications information icon
Unsupervised Handwritten Signature Verification with Extreme Learning Machines
Peer-reviewed
DOI
10.1007/978-3-031-21678-7_12
Akusok, Anton; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael
Proceedings of ELM 2021
2023
Publications information icon
Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy
Peer-reviewed
DOI
10.1109/TFUZZ.2016.2594275
Morente-Molinera, Juan Antonio; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique
IEEE transactions on fuzzy systems
2017
Publications information icon
Fusing extreme learning machine with convolutional neural network
Open access
Akusok, Anton; Björk, Kaj-Mikael
Arcada Working Papers
2021
Publications information icon
Valohai-CSC Integration: A Machine Learning Management Platform for Finnish Academic Institutions
Peer-reviewed
DOI
10.1007/978-3-031-61905-2_33
Espinosa-Leal, Leonardo; Shcherbakov, Andrey; Westerlund, Magnus
Lecture Notes in Networks and Systems
2024
Publications information icon
An Extreme Learning Machine Model for Venue Presence Detection
Peer-reviewed
DOI
10.1007/978-3-031-21678-7_14
Khan, Wiqar; Raza, Asif; Kuusniemi, Heidi; Elmusrati, Mohammed; Espinosa-Leal, Leonardo
Proceedings of ELM 2021
2023
Predicting the Colorectal Cancer Mortality in the Region of Lleida, Spain: A Machine Learning Study
Peer-reviewed
DOI
10.1007/978-3-031-55056-0_8
2024
Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark
Peer-reviewed
DOI
10.1007/978-3-031-55056-0_1
2024
Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications
Peer-reviewed
DOI
10.1007/978-3-031-61905-2_32
2024
Concrete aging factor prediction using machine learning
Peer-reviewed
Open access
DOI
10.1016/j.mtcomm.2024.109527
2024
Massive Offline Signature Forgery Detection with Extreme Learning Machines
Peer-reviewed
DOI
10.1007/978-3-031-55056-0_2
2024
Unsupervised Handwritten Signature Verification with Extreme Learning Machines
Peer-reviewed
DOI
10.1007/978-3-031-21678-7_12
2023
Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy
Peer-reviewed
DOI
10.1109/TFUZZ.2016.2594275
2017
Fusing extreme learning machine with convolutional neural network
Open access
2021
Valohai-CSC Integration: A Machine Learning Management Platform for Finnish Academic Institutions
Peer-reviewed
DOI
10.1007/978-3-031-61905-2_33
2024
An Extreme Learning Machine Model for Venue Presence Detection
Peer-reviewed
DOI
10.1007/978-3-031-21678-7_14
2023
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