Anton Akusok

Tuntiopettaja, Big Data Analytics Master programme

Julkaisut

Julkaisun nimi	Tekijät	Julkaisukanava	Vuosi
Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine Ulkoinen linkki	Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael	Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments	2024
Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications Ulkoinen linkki	Akusok, Anton; Espinosa-Leal, Leonardo; Atsemegiorgis, Tamirat; Björk, Kaj-Mikael	Lecture Notes in Networks and Systems	2024
Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark Ulkoinen linkki	Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in Adaptation, Learning and Optimization	2024
Native interaction experience for computational maps with mobile devices Ulkoinen linkki	Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael; Hu, Renjie	Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments	2023
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines Ulkoinen linkki	Atsemegiorgis, Tamirat; Espinosa-Leal, Leonardo; Lendasse, Amaury; Mattbäck, Stefan; Björk, Kaj-Mikael; Akusok, Anton	Lecture notes in computer science	2023
Unsupervised Handwritten Signature Verification with Extreme Learning Machines Ulkoinen linkki	Akusok, Anton; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings of ELM 2021	2023
Randomized Model Structure Selection Approach for Extreme Learning Machine Applied to Acid Sulfate Soil Detection Ulkoinen linkki	Akusok, Anton; Björk, Kaj-Mikael; Estévez, Virginia; Boman, Anton	Proceedings of ELM 2021	2023
Fusing extreme learning machine with convolutional neural network Ulkoinen linkki	Akusok, Anton; Björk, Kaj-Mikael	Arcada Working Papers	2021
Handwriting features based detection of fake signatures Ulkoinen linkki	Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury; Hu, Renjie		2021
Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning Ulkoinen linkki	Akusok, Anton; Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2020
High-Performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders Ulkoinen linkki	Akusok, Anton; Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2020
Validating Untrained Human Annotations Using Extreme Learning Machines Ulkoinen linkki	Forss, Thomas; Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Website Classification from Webpage Renders Ulkoinen linkki	Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Extreme Learning Machines for Signature Verification Ulkoinen linkki	Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Investigating Feasibility of Active Learning with Image Content on Mobile Devices Using ELM Ulkoinen linkki	Akusok, Anton; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2020
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation Ulkoinen linkki	Akusok, Anton; Eirola, Emil	Proceedings in Adaptation, Learning and Optimization	2019
Spiking networks for improved cognitive abilities of edge computing devices Ulkoinen linkki	Akusok, Anton; Björk, Kaj Mikael; Leal, Leonardo Espinosa; Miche, Yoan; Hu, Renjie; Lendasse, Amaury		2019
ELM-SOM: A Continuous Self-Organizing Map for Visualization Ulkoinen linkki	Hu, Renjie; Roshdibenam, Venous; Johnson, Hans J.; Eirola, Emil; Akusok, Anton; Miche, Yoan; Bjork, Kaj-Mikael; Lendasse, Amaury	Proceedings of International Joint Conference on Neural Networks	2018
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning Ulkoinen linkki	Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury; Akusok, Anton		2018
Per-sample prediction intervals for extreme learning machines Ulkoinen linkki	Akusok, Anton; Miche, Yoan; Björk, Kaj-Mikael; Lendasse, Amaury	International Journal of Machine Learning and Cybernetics	2018
Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines Ulkoinen linkki	Roshan Kokabha, Setareh; Miche, Yoan; Akusok, Anton; Lendasse, Amaury	Journal of the franklin institute: engineering and applied mathematics	2018
Extreme Learning Tree Ulkoinen linkki	Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2018
Distance Estimation for Incomplete Data by Extreme Learning Machine Ulkoinen linkki	Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2018
Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation Ulkoinen linkki	Kalliola, Aapo; Miche, Yoan; Oliver, Ian; Holtmanns, Silke; Atli, Buse; Lendasse, Amaury; Bjork, Kaj-Mikael; Akusok, Anton; Aura, Tuomas	Proceedings in adaptation, learning and optimization	2018
Mislabel Detection of Finnish Publication Ranks Ulkoinen linkki	Akusok, Anton; Saarela, Mirka; Kärkkäinen, Tommi; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2018
Advanced query strategies for Active Learning with Extreme Learning Machines Ulkoinen linkki	Akusok, Anton; Eirola, Emil; Miché, Joan; Gritsenko, Andrey; Lendasse, Amaury		2017
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington''''''''s Disease Ulkoinen linkki	Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Miche, Yoan; Johnson, Hans; Lendasse, Amaury		2017
Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values Ulkoinen linkki	Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Johnson, Hans; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2017
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables Ulkoinen linkki	Gritsenko, Andrey; Akusok, Anton; Baek, Stephen; Miche, Yoan; Lendasse, Amaury	Cognitive computation	2017
Practical Estimation of Mutual Information on Non-Euclidean Spaces Ulkoinen linkki	Miche, Yoan; Oliver, Ian; Ren, Wei; Holtmanns, Silke; Akusok, Anton; Lendasse, Amaury	Lecture notes in computer science	2017
Incremental ELMVIS for Unsupervised Learning Ulkoinen linkki	Akusok, Anton; Eirola, Emil; Miche, Yoan; Oliver, Ian; Björk, Kaj-Mikael; Gritsenko, Andrey; Baek, Stephen; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2017
Data anonymization as a vector quantization problem : control over privacy for health data Ulkoinen linkki	Miche, Yoan; Oliver, Ian; Holtmanns, Silke; Kalliola, Aapo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj Mikael	Lecture notes in computer science	2016
Adding reliability to ELM forecasts by confidence intervals Ulkoinen linkki	Akusok, Anton; Gritsenko, Andrey; Miche, Yoan; Björk, Kaj Mikael; Nian, Rui; Lauren, Paula; Lendasse, Amaury	Neurocomputing	2016

Lisää Anton Akusok tekemiä julkaisuja Tiedejatutkimus.fi:ssä