| 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 |