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2020 – today
- 2024
[c32]Anton Akusok
, Leonardo Espinosa Leal, Kaj-Mikael Björk:
Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine. PETRA 2024- 2023
- [c31]Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok:
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. IWANN (1) 2023: 614-625 - [c30]Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu:
Native interaction experience for computational maps with mobile devices. PETRA 2023: 162-164 - 2021
- [c29]Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu:
Handwriting features based detection of fake signatures. PETRA 2021: 86-89 - 2020
- [j25]Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse:
Using machine learning to identify top predictors for nurses' willingness to report medication errors. Array 8: 100049 (2020) - [j24]Renjie Hu, Edward R. Ratner, David E. Stewart, Kaj-Mikael Björk, Amaury Lendasse:
A modified Lanczos Algorithm for fast regularization of extreme learning machines. Neurocomputing 414: 172-181 (2020) - [j23]Shaoping Xiao, Renjie Hu, Zhen Li, Siamak Attarian, Kaj-Mikael Björk, Amaury Lendasse:
A machine-learning-enhanced hierarchical multiscale method for bridging from molecular dynamics to continua. Neural Comput. Appl. 32(18): 14359-14373 (2020)
2010 – 2019
- 2019
- [j22]Renjie Hu, Karl Ratner, Edward R. Ratner, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
ELM-SOM+: A continuous mapping for visualization. Neurocomputing 365: 147-156 (2019) - [j21]Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Per-sample prediction intervals for extreme learning machines. Int. J. Mach. Learn. Cybern. 10(5): 991-1001 (2019) - [c28]Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse:
Spiking networks for improved cognitive abilities of edge computing devices. PETRA 2019: 307-308 - [i6]Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse:
Incremental ELMVIS for unsupervised learning. CoRR abs/1912.08638 (2019) - [i5]Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok:
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. CoRR abs/1912.08644 (2019) - [i4]Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse:
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices. CoRR abs/1912.09083 (2019) - [i3]Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse:
Extreme Learning Tree. CoRR abs/1912.09087 (2019) - [i2]Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Per-sample Prediction Intervals for Extreme Learning Machines. CoRR abs/1912.09090 (2019) - [i1]Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse:
Mislabel Detection of Finnish Publication Ranks. CoRR abs/1912.09094 (2019) - 2018
- [c27]Zhen Li, Karl Ratner, Edward R. Ratner, Kallin Khan, Kaj-Mikael Björk, Amaury Lendasse:
A Novel ELM Ensemble for Time Series Prediction. ELM 2018: 283-291 - [c26]Peter Sarlin, Paolo Giudici, Alessandro Spelta, Kaj-Mikael Björk:
Riskrank to Predict Systemic Banking Crises With Common Exposures. HICSS 2018: 1-9 - [c25]Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
ELM-SOM: A Continuous Self-Organizing Map for Visualization. IJCNN 2018: 1-8 - [c24]Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok:
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. PETRA 2018: 13-16 - 2017
- [j20]Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse:
Adding reliability to ELM forecasts by confidence intervals. Neurocomputing 219: 232-241 (2017) - [j19]Peter Sarlin, Kaj-Mikael Björk:
Machine learning in finance - Guest editorial. Neurocomputing 264: 1 (2017) - [c23]Wei Ren, Yoan Miche, Ian Oliver, Silke Holtmanns, Kaj-Mikael Björk, Amaury Lendasse:
On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces. CD-MAKE 2017: 3-13 - [c22]Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse:
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. PETRA 2017: 189-192 - 2016
- [j18]Kaj-Mikael Björk, József Mezei:
A heuristical solution method to separable nonlinear programming problems. Int. J. Math. Oper. Res. 9(2): 230-242 (2016) - [j17]Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse:
Comparison of combining methods using Extreme Learning Machines under small sample scenario. Neurocomputing 174: 4-17 (2016) - [j16]Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse:
Manifold learning in local tangent space via extreme learning machine. Neurocomputing 174: 18-30 (2016) - [j15]Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse:
Extreme learning machine for missing data using multiple imputations. Neurocomputing 174: 220-231 (2016) - [j14]Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing 174: 344-351 (2016) - [j13]Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse:
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing 205: 247-263 (2016) - [c21]Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk:
Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. CD-ARES 2016: 193-203 - [c20]Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse:
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN 2016: 2617-2624 - [c19]Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse:
A new application of machine learning in health care. PETRA 2016: 49 - 2015
- [j12]Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse:
High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access 3: 1011-1025 (2015) - [j11]Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse:
Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. 10(2): 30-41 (2015) - [j10]Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse:
MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing 159: 242-250 (2015) - [j9]Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse:
SOM-ELM - Self-Organized Clustering using ELM. Neurocomputing 165: 238-254 (2015) - [j8]József Mezei, Kaj-Mikael Björk:
An economic production quantity problem with backorders and fuzzy cycle times. J. Intell. Fuzzy Syst. 28(4): 1861-1868 (2015) - [c18]Kaj-Mikael Björk, Patrick Kouontchou, Amaury Lendasse, Yoan Miché, Bertrand Maillet:
Towards a Tomographic Index of Systemic Risk Measures. ESANN 2015 - [c17]C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse:
Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. INNS Conference on Big Data 2015: 400-409 - [c16]Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse:
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) 2015: 153-164 - 2014
- [j7]Kaj-Mikael Björk, József Mezei:
A fuzzy milp-model for the optimization of vehicle routing problem. J. Intell. Fuzzy Syst. 26(3): 1349-1361 (2014) - [c15]Amir H. Shirdel, Kaj-Mikael Björk, Hannu T. Toivonen:
Identification of Linear Switching System with Unknown Dimensions. HICSS 2014: 1344-1352 - [c14]Amir H. Shirdel, Kaj-Mikael Björk, Markus Holopainen, Christer Carlsson, Hannu T. Toivonen:
Linear Switching System Identification Applied to Blast Furnace Data. ICINCO (1) 2014: 643-648 - [c13]Luiza Sayfullina, Magnus Westerlund, Kaj-Mikael Björk, Hannu T. Toivonen:
HP Trend Filtering Using Gaussian Mixture Model Weighted Heuristic. ICTAI 2014: 989-996 - [c12]József Mezei, Kaj-Mikael Björk:
A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint. IPMU (1) 2014: 406-415 - [c11]Magnus Westerlund, Ulf Hedlund, Göran Pulkkis, Kaj-Mikael Björk:
A Generalized Scalable Software Architecture for Analyzing Temporally Structured Big Data in the Cloud. WorldCIST (1) 2014: 559-569 - 2013
- [c10]Kaj-Mikael Björk, József Mezei:
A Fuzzy Tabu Search Approach to Solve a Vehicle Routing Problem. IWANN (1) 2013: 210-217 - [c9]József Mezei, Kaj-Mikael Björk:
An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand. WorldCIST 2013: 557-566 - 2012
- [j6]Kaj-Mikael Björk:
The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders. Appl. Comput. Intell. Soft Comput. 2012: 876230:1-876230:8 (2012) - [c8]Kaj-Mikael Björk, József Mezei, Henrik J. Nyman:
A Multi-item Fuzzy Economic Production Quantity Problem with Limited Storage Space. HICSS 2012: 1238-1246
2000 – 2009
- 2009
- [j5]Kaj-Mikael Björk:
An analytical solution to a fuzzy economic order quantity problem. Int. J. Approx. Reason. 50(3): 485-493 (2009) - [j4]Kaj-Mikael Björk, Robert Stahl, Christer Carlsson:
Altering the Information System for a plywood supply chain in order to tame the Bullwhip effect. Int. J. Intell. Syst. Technol. Appl. 6(3/4): 364-380 (2009) - [c7]Anders Skjäl, Kaj-Mikael Björk, Jenny Östman, Christer Carlsson:
An Optimization Model for Tactical Planning of Wood Procurement. HICSS 2009: 1-9 - 2008
- [j3]Ray Pörn, Kaj-Mikael Björk, Tapio Westerlund:
Global solution of optimization problems with signomial parts. Discret. Optim. 5(1): 108-120 (2008) - [c6]Kaj-Mikael Björk:
The Economic Production Quantity Problem with a Finite Production Rate and Fuzzy Cycle Time. HICSS 2008: 68 - [c5]Kaj-Mikael Björk, Lazaros G. Papageorgiou:
Global Optimization of Water Distribution Systems. HICSS 2008: 88 - [c4]Kaj-Mikael Björk:
Obtaining Minimum Variability OWA Operators under a Fuzzy Level of Orness. ICINCO-ICSO 2008: 114-119 - 2007
- [j2]Alexandra M. Mertens, Kaj-Mikael Björk:
Measuring the performance and evaluating the improvements of a fine paper supply chain. Int. J. Comput. Appl. Technol. 28(2/3): 220-228 (2007) - 2005
- [c3]Aleksandra Tesanovic, Mehdi Amirijoo, Kaj-Mikael Björk, Jörgen Hansson:
Empowering configurable QoS management in real-time systems. AOSD 2005: 39-50 - [c2]Kaj-Mikael Björk, Christer Carlsson:
The Outcome of Flexible Lead Times on the Distributors. HICSS 2005 - 2003
- [j1]Kaj-Mikael Björk, Per Olov Lindberg, Tapio Westerlund:
Some convexifications in global optimization of problems containing signomial terms. Comput. Chem. Eng. 27(5): 669-679 (2003) - [c1]Kaj-Mikael Björk, Frank Pettersson:
Optimization of Large-scale Heat Exchanger Network Synthesis Problems. Modelling and Simulation 2003: 313-318
Coauthor Index
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