Kaj-Mikael Björk

Yliopettaja, Analytiikka ja logistiikka

Analytiikan ja Logistiikan yliopettaja. Tutkimusaiheet; Supply Chain Management, IT, Tekoäly, Koneoppiminen, Analytiikka, Optimointi

Google Scholar: https://scholar.google.ca/citations?use… Ulkoinen linkki

Julkaisut

Julkaisun nimi	Tekijät	Julkaisukanava	Vuosi
Sentiment Analysis for Sarcasm of Video Gamers Ulkoinen linkki	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 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
Does Streaming Affect Video Game Popularity? Ulkoinen linkki	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 Ulkoinen linkki	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? Ulkoinen linkki	Björk, Kaj-Mikael; Espinosa-Leal, Leonardo	Hälso- och välfärdsbloggen	2023
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
Proceedings of ELM 2021 Ulkoinen linkki	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 Ulkoinen linkki	Akusok, Anton; Björk, Kaj-Mikael; Estévez, Virginia; Boman, Anton	Proceedings of ELM 2021	2023
Extreme Learning Machines for Offline Forged Signature Identification Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 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
Using machine learning to identify top predictors for nurses’ willingness to report medication errors Ulkoinen linkki	Hu, Renjie; Farag, Amany; Björk, Kaj-Mikael; Lendasse, Amaury	Array	2020
A modified Lanczos Algorithm for fast regularization of extreme learning machines Ulkoinen linkki	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 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
ELM Feature Selection and SOM Data Visualization for Nursing Survey Datasets Ulkoinen linkki	Hu, Renjie; Farag, Amany; Björk, Kaj-Mikael; Lendasse, Amaury	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
ELM-SOM+: A continuous mapping for visualization Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 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
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
Riskrank to Predict Systemic Banking Crises With Common Exposures Ulkoinen linkki	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 Ulkoinen linkki	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 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
Open Science and Data: Reproducibility, Power Shifts, and Possible New Threats Ulkoinen linkki	Boguslawski, Michael von; Björk, Kaj-Mikael	Arcada Publikation	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
Machine learning in finance—Guest editorial Ulkoinen linkki	Sarlin, Peter; Björk, Kaj-Mikael	Neurocomputing	2017
A heuristical solution method to separable nonlinear programming problems Ulkoinen linkki	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 Ulkoinen linkki	Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse		2016
A new application of machine learning in health care Ulkoinen linkki	Kaj-Mikael Björk; Emil Eirola; Yoan Miche; Amaury Lendasse		2016
Evaluating confidence intervals for ELM predictions Ulkoinen linkki	Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Rui Nian; Paula Lauren; Amaury Lendasse		2016
Combined nonlinear visualization and classification : ELMVIS++C Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	Anton Akusok; Kaj-Mikael Björk; Yoan Miche; Amaury Lendasse	IEEE Access	2015
Extreme learning machine for missing data using multiple imputations Ulkoinen linkki	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 Ulkoinen linkki	Kaj-Mikael Björk	AMK-lehti / UAS journal	2015
Reducing false positives in web content classification Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	Dušan Sovilj; Kaj-Mikael Björk; Amaury Lendasse	Neurocomputing	2015
Arbitrary Category Classification of Websites Based on Image Content Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	Björk, Kaj Mikael; Kouontchou, Patrick; Lendasse, Amaury; Miche, Yoan; Maillet, Bertrand		2015
SOM-ELM : self-organized clustering using ELM Ulkoinen linkki	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 Ulkoinen linkki	Thomas Forss; Shuhua Liu; Kaj-Mikael Björk	Arcada Working papers	2014
ELM clustering : application to bankruptcy prediction Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	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 Ulkoinen linkki	Jòzsef Mezei; Kaj-Mikael Björk		2014
Evaluation of an information systems investment into reducing the bullwhip effect : a three-step process Ulkoinen linkki	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 Ulkoinen linkki	József Mezei and Kaj-Mikael Björk		2013
Extracting people's hobby and interest information from social media content Ulkoinen linkki	Thomas Forss, Shuhua Liu, Kaj-Mikael Björk		2013
A fuzzy MILP-model for the optimization of transports Ulkoinen linkki	Kaj-Mikael Björk and József Mezei	Journal of intelligent and fuzzy systems	2013
Analysis of Blast Furnace Time Series Data with ANFIS Ulkoinen linkki	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 Ulkoinen linkki	Kaj-Mikael Björk and József Mezei	Lecture notes in computer science	2013
A multi-item fuzzy economic production quantity problem with limited storage space Ulkoinen linkki	Björk, Kaj-Mikael; Mezei, József; Nyman, Henrik	Hawaii International Conference on System Sciences	2012

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