| Passive memristor synaptic circuits with multiple timing dependent plasticity mechanisms O Šuch, M Klimo, NT Kemp, O Škvarek AEU-International Journal of Electronics and Communications 96, 252-259, 2018 | 16 | 2018 |
| Hafnium oxide and tantalum oxide based resistive switching structures for realization of minimum and maximum functions K Fröhlich, I Kundrata, M Blaho, M Precner, M Ťapajna, M Klimo, O Šuch, ... Journal of Applied Physics 124 (15), 2018 | 9 | 2018 |
| Anomaly detection using Autoencoders and Deep Convolution Generative Adversarial Networks J Kopčan, O Škvarek, M Klimo Transportation Research Procedia 55, 1296-1303, 2021 | 8 | 2021 |
| Lip reading using fuzzy logic network with memory S Badura, M Klimo, O Skvarek 2012 6th International Conference on Application of Information and …, 2012 | 8 | 2012 |
| Implementation of a Deep ReLU Neuron Network with a Memristive Circuit. M Klimo, P Tarabek, O ŠUCH, J SMIEŠKO, O ŠKVAREK International journal of unconventional computing 12 (4), 2016 | 6 | 2016 |
| Memristive sorting networks M Frátrik, M Klimo, O Šuch, O Škvarek physica status solidi (c) 12 (1‐2), 233-237, 2015 | 6 | 2015 |
| Memristor-based pattern matching M Klimo, O Such, O Skvarek, M Fratrik Semiconductor science and technology 29 (10), 104007, 2014 | 5 | 2014 |
| Memristor measurements and simulations M Fratrik, S Badura, M Klimo, O Skvarek CAS 2013 (International Semiconductor Conference) 2, 243-246, 2013 | 4 | 2013 |
| End-to-end VoIP quality measurement P ČÁKY, M Klimo, P PALÚCH, O ŠKVAREK Acta Electrotechnica et Informatica No 6 (1), 1, 2006 | 4 | 2006 |
| PCA Tail as the Anomaly Indicator O Škvarek, M Klimo, J Kopčan 2020 18th International Conference on Emerging eLearning Technologies and …, 2020 | 3 | 2020 |
| Nearest neighbor classification in Minkowski quasi-metric space M Klimo, O Škvarek, P Tarábek, O Šuch, J Hrabovsky 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA …, 2018 | 3 | 2018 |
| Performance of HfOx-and TaOx-based Resistive Switching Structures for Realization of Minimum and Maximum Functions K Fröhlich, I Kundrata, M Blaho, M Precner, M Ťapajna, M Klimo, O Šuch, ... MRS Advances 3 (59), 3427-3432, 2018 | 2 | 2018 |
| Phoneme discrimination using a pair of neurons built from CRS fuzzy logic gates O Šuch, M Klimo, O Škvarek AIP Conference Proceedings 1648 (1), 2015 | 2 | 2015 |
| Bimodal vowel recognition using fuzzy logic networks-naive approach Š Badura, M Frátrik, O Škvarek, M Klimo 2014 ELEKTRO, 22-25, 2014 | 2 | 2014 |
| Clustering Methods used to Obtain Typical Sentence Melody Contours for Slovak Language TTS system M CERNANSKA, O SKVAREK conference: The Second International Scientific Conference on Applied …, 2009 | 2 | 2009 |
| Lip reading using fuzzy logic networks-topology variation S Badura, M Fnltrik, O Skvarek, M Klimo ARSA 2013, 463-468, 2013 | 1 | 2013 |
| Do Neural Networks Recognize Patterns as well as Students? J Kopčan, M Klimo, O Škvarek 2022 20th International Conference on Emerging eLearning Technologies and …, 2022 | | 2022 |
| Vowel Recognition Supported by Ordered Weighted Average M Klimo, O Škvarek, J Smieško, S Foltán, O Šuch Emergent Trends in Robotics and Intelligent Systems: Where is the Role of …, 2015 | | 2015 |
| Phoneme discrimination using neurons with symmetric nonlinear response over a spectral range O Such, O Skvarek, M Klimo arXiv preprint arXiv:1311.0819, 2013 | | 2013 |
| Clustering of Slovak Sentence Melody-Methods and Results M Cernanska, O Skvarek Communications-Scientific Letters of the University of Zilina 12 (1), 58-64, 2010 | | 2010 |
