Denis Kleyko
Doktorand
Luleå tekniska universitet
Luleå tekniska universitet
Datavetenskap
Institutionen för system- och rymdteknik
Publikationer
Artikel i tidskrift
A Comprehensive Study of Complexity and Performance of Automatic Detection of Atrial Fibrillation (2020)
Classification of Long ECG Recordings Based on the PhysioNet Computing in Cardiology Challenge 2017
Biomedical Engineering & Physics Express, Vol. 6, nr. 2
Artikel i tidskrift
Autoscaling Bloom filter (2020)
controlling trade-off between true and false positives
Neural computing & applications (Print), Vol. 32, nr. 8, s. 3675-3684
Artikel i tidskrift
A Hyperdimensional Computing Framework for Analysis of Cardiorespiratory Synchronization during Paced Deep Breathing (2019)
IEEE Access, Vol. 7, s. 34403-34415
Artikel i tidskrift
An Automated Machine Learning Approach for Smart Waste Management Systems (2019)
IEEE Transactions on Industrial Informatics, Vol. 16, nr. 1, s. 384-392
Konferensbidrag
Low-Power Classification using FPGA (2019)
An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing
Ingår i: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), s. 370-375, IEEE, 2019
