Kaj-Mikael Björk

According to our database, Kaj-Mikael Björk authored at least 60 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk

Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

2023

Native interaction experience for computational maps with mobile devices.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu

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.

Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok

Proceedings of the Advances in Computational Intelligence, 2023

2021

Handwriting features based detection of fake signatures.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2020

A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua.

Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse

Neural Comput. Appl., 2020

A modified Lanczos Algorithm for fast regularization of extreme learning machines.

Renjie Hu, Edward R. Ratner, David E. Stewart, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2020

Using machine learning to identify top predictors for nurses' willingness to report medication errors.

Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse

Array, 2020

2019

Per-sample prediction intervals for extreme learning machines.

Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Int. J. Mach. Learn. Cybern., 2019

ELM-SOM+: A continuous mapping for visualization.

Renjie Hu, Karl Ratner, Edward R. Ratner, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2019

Mislabel Detection of Finnish Publication Ranks.

Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse

CoRR, 2019

Extreme Learning Tree.

Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse

CoRR, 2019

Incremental ELMVIS for unsupervised learning.

Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse

CoRR, 2019

Spiking networks for improved cognitive abilities of edge computing devices.

Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

2018

A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning.

Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

ELM-SOM: A Continuous Self-Organizing Map for Visualization.

Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Riskrank to Predict Systemic Banking Crises With Common Exposures.

Peter Sarlin, Paolo Giudici, Alessandro Spelta, Kaj-Mikael Björk

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

A Novel ELM Ensemble for Time Series Prediction.

Zhen Li, Karl Ratner, Edward R. Ratner, Kallin Khan, Kaj-Mikael Björk, Amaury Lendasse

Proceedings of ELM 2018, 2018

2017

Machine learning in finance - Guest editorial.

Peter Sarlin, Kaj-Mikael Björk

Neurocomputing, 2017

Adding reliability to ELM forecasts by confidence intervals.

Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2017

Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease.

Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces.

Wei Ren, Yoan Miche, Ian Oliver, Silke Holtmanns, Kaj-Mikael Björk, Amaury Lendasse

Proceedings of the Machine Learning and Knowledge Extraction, 2017

2016

Manifold learning in local tangent space via extreme learning machine.

Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

Extreme learning machine for missing data using multiple imputations.

Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse

Neurocomputing, 2016

Comparison of combining methods using Extreme Learning Machines under small sample scenario.

Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification.

Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.

Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2016

A heuristical solution method to separable nonlinear programming problems.

Kaj-Mikael Björk, József Mezei

Int. J. Math. Oper. Res., 2016

A new application of machine learning in health care.

Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

Combined nonlinear visualization and classification: ELMVIS++C.

Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data.

Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk

Proceedings of the Availability, Reliability, and Security in Information Systems, 2016

2015

An economic production quantity problem with backorders and fuzzy cycle times.

József Mezei, Kaj-Mikael Björk

J. Intell. Fuzzy Syst., 2015

SOM-ELM - Self-Organized Clustering using ELM.

Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse

Neurocomputing, 2015

MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model.

Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse

Neurocomputing, 2015

Arbitrary Category Classification of Websites Based on Image Content.

Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse

IEEE Comput. Intell. Mag., 2015

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications.

Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse

IEEE Access, 2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse

Proceedings of the Advances in Computational Intelligence, 2015

Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM.

C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse

Proceedings of the INNS Conference on Big Data 2015, 2015

Towards a Tomographic Index of Systemic Risk Measures.

Kaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

A fuzzy milp-model for the optimization of vehicle routing problem.

Kaj-Mikael Björk, József Mezei

J. Intell. Fuzzy Syst., 2014

A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud.

Magnus Westerlund, Ulf Hedlund, Göran Pulkkis, Kaj-Mikael Björk

Proceedings of the New Perspectives in Information Systems and Technologies, 2014

A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint.

József Mezei, Kaj-Mikael Björk

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

HP Trend Filtering Using Gaussian Mixture Model Weighted Heuristic.

Luiza Sayfullina, Magnus Westerlund, Kaj-Mikael Björk, Hannu T. Toivonen

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Linear Switching System Identification Applied to Blast Furnace Data.

Amir H. Shirdel, Kaj-Mikael Björk, Markus Holopainen, Christer Carlsson, Hannu T. Toivonen

Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

Identification of Linear Switching System with Unknown Dimensions.

Amir H. Shirdel, Kaj-Mikael Björk, Hannu T. Toivonen

Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013

An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand.

József Mezei, Kaj-Mikael Björk

Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013

A Fuzzy Tabu Search Approach to Solve a Vehicle Routing Problem.

Kaj-Mikael Björk, József Mezei

Proceedings of the Advances in Computational Intelligence, 2013

2012

The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders.

Kaj-Mikael Björk

Appl. Comput. Intell. Soft Comput., 2012

A Multi-item Fuzzy Economic Production Quantity Problem with Limited Storage Space.

Kaj-Mikael Björk, József Mezei, Henrik J. Nyman

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2009

Altering the Information System for a plywood supply chain in order to tame the Bullwhip effect.

Kaj-Mikael Björk, Robert Stahl, Christer Carlsson

Int. J. Intell. Syst. Technol. Appl., 2009

An analytical solution to a fuzzy economic order quantity problem.

Kaj-Mikael Björk

Int. J. Approx. Reason., 2009

An Optimization Model for Tactical Planning of Wood Procurement.

Anders Skjäl, Kaj-Mikael Björk, Jenny Östman, Christer Carlsson

Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2008

Global solution of optimization problems with signomial parts.

Ray Pörn, Kaj-Mikael Björk, Tapio Westerlund

Discret. Optim., 2008

Obtaining Minimum Variability OWA Operators under a Fuzzy Level of Orness.

Kaj-Mikael Björk

Proceedings of the ICINCO 2008, 2008

Global Optimization of Water Distribution Systems.

Kaj-Mikael Björk, Lazaros G. Papageorgiou

Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

The Economic Production Quantity Problem with a Finite Production Rate and Fuzzy Cycle Time.

Kaj-Mikael Björk

Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

2007

Measuring the performance and evaluating the improvements of a fine paper supply chain.

Alexandra M. Mertens, Kaj-Mikael Björk

Int. J. Comput. Appl. Technol., 2007

2005

The Outcome of Flexible Lead Times on the Distributors.

Kaj-Mikael Björk, Christer Carlsson

Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

Empowering configurable QoS management in real-time systems.

Aleksandra Tesanovic, Mehdi Amirijoo, Kaj-Mikael Björk, Jörgen Hansson

Proceedings of the 4th International Conference on Aspect-Oriented Software Development, 2005

2003

Some convexifications in global optimization of problems containing signomial terms.

Kaj-Mikael Björk, Per Olov Lindberg, Tapio Westerlund

Comput. Chem. Eng., 2003

Optimization of Large-scale Heat Exchanger Network Synthesis Problems.

Kaj-Mikael Björk, Frank Pettersson

Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003