Anton Akusok

Timlärare

Arcadas hubb för AI och interaktion, Pålitlig AI och Big Data

Publikationer

Publikationens namn	Upphovspersoner	Publikationskanal	År
Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine	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	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	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	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	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	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	Akusok, Anton; Björk, Kaj-Mikael; Estévez, Virginia; Boman, Anton	Proceedings of ELM 2021	2023
Fusing extreme learning machine with convolutional neural network	Akusok, Anton; Björk, Kaj-Mikael	Arcada Working Papers	2021
Handwriting features based detection of fake signatures	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	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	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	Forss, Thomas; Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Website Classification from Webpage Renders	Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Extreme Learning Machines for Signature Verification	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	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	Akusok, Anton; Eirola, Emil	Proceedings in Adaptation, Learning and Optimization	2019
Spiking networks for improved cognitive abilities of edge computing devices	Akusok, Anton; Björk, Kaj-Mikael; Leal, Leonardo Espinosa; Miche, Yoan; Hu, Renjie; Lendasse, Amaury		2019
ELM-SOM: A Continuous Self-Organizing Map for Visualization	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	Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury; Akusok, Anton		2018
Per-sample prediction intervals for extreme learning machines	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	Roshan Kokabha, Setareh; Miche, Yoan; Akusok, Anton; Lendasse, Amaury	Journal of the franklin institute: engineering and applied mathematics	2018
Extreme Learning Tree	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	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	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	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	Akusok, Anton; Eirola, Emil; Miché, Joan; Gritsenko, Andrey; Lendasse, Amaury		2017
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington''''''''s Disease	Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Miche, Yoan; Johnson, Hans; Lendasse, Amaury		2017
Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values	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	Gritsenko, Andrey; Akusok, Anton; Baek, Stephen; Miche, Yoan; Lendasse, Amaury	Cognitive computation	2017
Practical Estimation of Mutual Information on Non-Euclidean Spaces	Miche, Yoan; Oliver, Ian; Ren, Wei; Holtmanns, Silke; Akusok, Anton; Lendasse, Amaury	Lecture notes in computer science	2017
Incremental ELMVIS for Unsupervised Learning	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	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	Akusok, Anton; Gritsenko, Andrey; Miche, Yoan; Björk, Kaj Mikael; Nian, Rui; Lauren, Paula; Lendasse, Amaury	Neurocomputing	2016

Fler publikationer av Anton Akusok på Forskning.fi