Kaj-Mikael Björk

Principal Lecturer in Analytics and Logistics

Principal Lecturer in Analytics and Logistics. Areas of Interest; Supply Chain Management, IT, AI, Machine Learning, Analytics, Optimization

Google Scholar: https://scholar.google.ca/citations?use… External link

Publications

Publication name	Authors	Publication channel	Year
Sentiment Analysis for Sarcasm of Video Gamers External link	Li, Zhen; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael	Lecture Notes in Networks and Systems	2024
Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine External link	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 External link	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 External link	Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in Adaptation, Learning and Optimization	2024
Does Streaming Affect Video Game Popularity? External link	Li, Zhen; Espinosa-Leal, Leonardo; Olmedilla, Maria; Hu, Renjie; Björk, Kaj-Mikael	Proceedings in Adaptation, Learning and Optimization	2024
Massive Offline Signature Forgery Detection with Extreme Learning Machines External link	Espinosa-Leal, Leonardo; Li, Zhen; Hu, Renjie; Björk, Kaj-Mikael	Proceedings in Adaptation, Learning and Optimization	2024
Can Machine Learning aid in finding key factors to improve the Finnish healthcare system? External link	Björk, Kaj-Mikael; Espinosa-Leal, Leonardo	Hälso- och välfärdsbloggen	2023
Native interaction experience for computational maps with mobile devices External link	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 External link	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 External link	Akusok, Anton; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings of ELM 2021	2023
Proceedings of ELM 2021 External link	Björk, Kaj-Mikael	Proceedings in Adaptation, Learning and Optimization	2023
Randomized Model Structure Selection Approach for Extreme Learning Machine Applied to Acid Sulfate Soil Detection External link	Akusok, Anton; Björk, Kaj-Mikael; Estévez, Virginia; Boman, Anton	Proceedings of ELM 2021	2023
Extreme Learning Machines for Offline Forged Signature Identification External link	Li, Zhen; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings of ELM 2021	2023
Verification of Static Signatures using Dynamic Time Warping on Features from High Pressure Points External link	Acosta-Velasquez, Ruben; Espinosa-Leal, Leonardo; Garcia-Perez, Alexander; Björk, Kaj-Mikael	Proceedings of ELM 2021	2023
Machine learning techniques for acid sulfate soil mapping in southeastern Finland External link	Estévez, Virginia; Beucher, Amélie; Mattbäck, Stefan; Boman, Anton; Auri, Jaakko; Björk, Kaj-Mikael; Österholm, Peter	Geoderma	2022
Fusing extreme learning machine with convolutional neural network External link	Akusok, Anton; Björk, Kaj-Mikael	Arcada Working Papers	2021
Handwriting features based detection of fake signatures External link	Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury; Hu, Renjie		2021
Using machine learning to identify top predictors for nurses’ willingness to report medication errors External link	Hu, Renjie; Farag, Amany; Björk, Kaj-Mikael; Lendasse, Amaury	Array	2020
A modified Lanczos Algorithm for fast regularization of extreme learning machines External link	Hu, Renjie; Ratner, Edward; Stewart, David; Björk, Kaj-Mikael; Lendasse, Amaury	Neurocomputing	2020
Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning External link	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 External link	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 External link	Forss, Thomas; Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
ELM Feature Selection and SOM Data Visualization for Nursing Survey Datasets External link	Hu, Renjie; Farag, Amany; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2020
Website Classification from Webpage Renders External link	Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
Extreme Learning Machines for Signature Verification External link	Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael	Proceedings in adaptation, learning and optimization	2020
ELM-SOM+: A continuous mapping for visualization External link	Hu, Renjie; Ratner, Karl; Ratner, Edward; Miche, Yoan; Björk, Kaj-Mikael; Lendasse, Amaury	Neurocomputing	2019
A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua External link	Xiao, Shaoping; Hu, Renjie; Li, Zhen; Attarian, Siamak; Björk, Kaj-Mikael; Lendasse, Amaury	Neural computing and applications	2019
Spiking networks for improved cognitive abilities of edge computing devices External link	Akusok, Anton; Björk, Kaj-Mikael; Leal, Leonardo Espinosa; Miche, Yoan; Hu, Renjie; Lendasse, Amaury		2019
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning External link	Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury; Akusok, Anton		2018
Per-sample prediction intervals for extreme learning machines External link	Akusok, Anton; Miche, Yoan; Björk, Kaj-Mikael; Lendasse, Amaury	International Journal of Machine Learning and Cybernetics	2018
Extreme Learning Tree External link	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 External link	Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2018
Riskrank to Predict Systemic Banking Crises With Common Exposures External link	Sarlin, Peter; Giudici, Paolo; Spelta, Alessandro; Björk, Kaj-Mikael	Proceedings of the annual Hawaii international conference on system sciences	2018
Mislabel Detection of Finnish Publication Ranks External link	Akusok, Anton; Saarela, Mirka; Kärkkäinen, Tommi; Björk, Kaj-Mikael; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2018
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington''''''''s Disease External link	Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Miche, Yoan; Johnson, Hans; Lendasse, Amaury		2017
Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values External link	Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Johnson, Hans; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2017
Open Science and Data: Reproducibility, Power Shifts, and Possible New Threats External link	Boguslawski, Michael von; Björk, Kaj-Mikael	Arcada Publikation	2017
Incremental ELMVIS for Unsupervised Learning External link	Akusok, Anton; Eirola, Emil; Miche, Yoan; Oliver, Ian; Björk, Kaj-Mikael; Gritsenko, Andrey; Baek, Stephen; Lendasse, Amaury	Proceedings in adaptation, learning and optimization	2017
Machine learning in finance—Guest editorial External link	Sarlin, Peter; Björk, Kaj-Mikael	Neurocomputing	2017
A heuristical solution method to separable nonlinear programming problems External link	Björk, Kaj Mikael; Mezei, József	International journal of mathematics in operational research	2016
ELMVIS+ : improved nonlinear visualization technique using cosine distance and extreme learning machines External link	Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse		2016
A new application of machine learning in health care External link	Kaj-Mikael Björk; Emil Eirola; Yoan Miche; Amaury Lendasse		2016
Evaluating confidence intervals for ELM predictions External link	Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse		2016
Combined nonlinear visualization and classification : ELMVIS++C External link	Andrey Gritsenko; Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Stephen Baek; Amaury Lendasse		2016
On mutual information over non-euclidean spaces, data mining and data privacy levels External link	Yoan Miche; Ian Oliver; Silke Holtmanns; Anton Akusok; Amaury Lendasse; Kaj-Mikael Björk		2016
Data anonymization as a vector quantization problem : control over privacy for health data External link	Miche, Yoan; Oliver, Ian; Holtmanns, Silke; Kalliola, Aapo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj Mikael	Lecture notes in computer science	2016
ELMVIS+ : fast nonlinear visualization technique based on cosine distance and extreme learning machines External link	Akusok, Anton; Baek, Stephen; Miche, Yoan; Björk, Kaj Mikael; Nian, Rui; Lauren, Paula; Lendasse, Amaury	Neurocomputing	2016
Adding reliability to ELM forecasts by confidence intervals External link	Akusok, Anton; Gritsenko, Andrey; Miche, Yoan; Björk, Kaj Mikael; Nian, Rui; Lauren, Paula; Lendasse, Amaury	Neurocomputing	2016
Manifold learning in local tangent space via extreme learning machine External link	Qian Wang; Weiguo Wang; Rui Nian; Bo He; Yue Shen; Kaj-Mikael Björk; Amaury Lendasse	Neurocomputing	2015
High-Performance extreme learning machines : a complete toolbox for big data applications External link	Anton Akusok; Kaj-Mikael Björk; Yoan Miche; Amaury Lendasse	IEEE Access	2015
Extreme learning machine for missing data using multiple imputations External link	Dušan Sovilj; Emil Eirola; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Anton Akusok; Amaury Lendasse	Neurocomputing	2015
Big Data Analytics : a research project in the complex digital era External link	Kaj-Mikael Björk	AMK-lehti / UAS journal	2015
Reducing false positives in web content classification External link	Thomas Forss; Ulf Hedlund-Salmenkari; Shuhua Liu; Kaj-Mikael Björk	Arcada Working papers	2015
Efficient skin segmentation via neural networks : HP-ELM and BD-SOM External link	C. Swaney; Anto Akusok; Kaj-Mikael Björk; Yoan Miche; Amaury Lendasse	Procedia computer science	2015
Comparison of combining methods using extreme learning machines under small sample scenario External link	Dušan Sovilj; Kaj-Mikael Björk; Amaury Lendasse	Neurocomputing	2015
Arbitrary Category Classification of Websites Based on Image Content External link	Akusok, Anton; Miche, Yoan; Karhunen, Juha; Björk, Kaj-Mikael; Nian, Rui; Lendasse, Amaury	Educational research and reviews	2015
MD-ELM : originally mislabeled samples detection using OP-ELM model External link	Akusok, Anton; Veganzones, David; Miché, Yoan; Björk, Kaj-Mikael; du Jardin, Philippe; Séverin, Eric; Lendasse, Amaury	Neurocomputing	2015
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification External link	Termenon, Maite; Grana, Manuel; Savio, Alexandre; Akusok, Anton; Miche, Yoan; Bjork, Kaj-Mikael; Lendasse, Amaury	Laurea julkaisut	2015
Towards a tomographic index of systemic risk measures External link	Björk, Kaj Mikael; Kouontchou, Patrick; Lendasse, Amaury; Miche, Yoan; Maillet, Bertrand		2015
SOM-ELM : self-organized clustering using ELM External link	Yoan Miche; Anton Akusok; David Veganzones; Kaj-Mikael Björk; Eric Seàverin; Philippe du Jardin; Maite Termenon; Amaury Lendasse	Neurocomputing	2015
Automatic tag extraction from social media for image labeling External link	Thomas Forss; Shuhua Liu; Kaj-Mikael Björk	Arcada Working papers	2014
ELM clustering : application to bankruptcy prediction External link	Anton Akusok; David Veganzones; Kaj-Mikael Björk; Eric Séverin; Philippe Du Jardin; Amaury Lendasse; Yoan Miche		2014
Extracting people's hobby and interest information from social media content External link	Thomas Forss; Shuhua Liu; Kaj-Mikael Björk	Ontology, terminology & text mining	2014
A generalized scalable software architecture for analyzing temporally structured big data in the cloud External link	Magnus Westerlund; Ulf Hedlund; Göran Pulkkis; Kaj-Mikael Björk	New perspectives in information systems and technologies	2014
HP trend filtering using Gaussian mixture model weighted heuristic External link	Sayfullina, Luiza; Westerlund, Magnus; Bjork, Kaj Mikael; Toivonen, Hannu T.	Proceedings : International Conference on Tools with Artificial Intelligence	2014
Identification of linear switching system with unknown dimensions External link	Amir H. Shirdel; Kaj-Mikael Björk; Hannu T. Toivonen	Proceedings of the Annual Hawaii International Conference on System Sciences	2014
A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint External link	Jòzsef Mezei; Kaj-Mikael Björk		2014
Evaluation of an information systems investment into reducing the bullwhip effect : a three-step process External link	Mikael Collan; Kaj-Mikael Björk; Kalevi Kyläheiko	International journal of logistics systems and management	2014
An economic production quantity problem with fuzzy backorder and fuzzy demand External link	József Mezei and Kaj-Mikael Björk		2013
Extracting people's hobby and interest information from social media content External link	Thomas Forss, Shuhua Liu, Kaj-Mikael Björk		2013
A fuzzy MILP-model for the optimization of transports External link	Kaj-Mikael Björk and József Mezei	Journal of intelligent and fuzzy systems	2013
Analysis of Blast Furnace Time Series Data with ANFIS External link	Kaj-Mikael Björk; Markus Holopainen; Robin Wikström; Henrik Saxen; Christer Carlsson; Miika Sihvonen	Tucs publication series	2013
fuzzy tabu search approach to solve a vehicle routing problem External link	Kaj-Mikael Björk and József Mezei	Lecture notes in computer science	2013
A multi-item fuzzy economic production quantity problem with limited storage space External link	Björk, Kaj-Mikael; Mezei, József; Nyman, Henrik	Hawaii International Conference on System Sciences	2012

More publications by Kaj-Mikael Björk on Research.fi