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Michal Podpora
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2020 – today
- 2024
- [j15]Vitalii Brydinskyi, Dmytro Sabodashko
, Yuriy Khoma
Enhancing Automatic Speech Recognition With Personalized Models: Improving Accuracy Through Individualized Fine-Tuning. IEEE Access 12: 116649-116656 (2024) - [c13]Andrii Nyzhnyk, Andrii Partyka, Michal Podpora:
Increase the cybersecurity of SCADA and IIoT devices with secure memory management. CSDP 2024: 32-41 - [c12]Bartlomiej Klin, Ryszard Beniak, Michal Podpora, Arkadiusz Gardecki, Joanna Rut:
Multi-talker Verbal Interaction for Humanoid Robots. MMAR 2024: 521-526 - [e1]Taras Maksymyuk, Orest Kochan, Mikolaj P. Karpinski, Axel Sikora, Michal Podpora, Sergiy Gnatyuk:
Proceedings of the Cyber Security and Data Protection, Lviv, Ukraine, June 30, 2024. CEUR Workshop Proceedings 3800, CEUR-WS.org 2024 [contents] - 2023
- [j14]Bartlomiej Klin
Smart Beamforming in Verbal Human-Machine Interaction for Humanoid Robots. IEEE Robotics Autom. Lett. 8(8): 4689-4696 (2023) - [j13]Arkadiusz Gardecki
Implementation of a Hybrid Intelligence System Enabling the Effectiveness Assessment of Interaction Channels Use in HMI. Sensors 23(8): 3826 (2023) - [j12]David Kasperek
Comparison of the Usability of Apple M2 and M1 Processors for Various Machine Learning Tasks. Sensors 23(12): 5424 (2023) - [j11]Yaroslav Sovyn, Volodymyr Khoma, Michal Podpora
Bitsliced Implementation of Non-Algebraic 8×8 Cryptographic S-Boxes Using ×86-64 Processor SIMD Instructions. IEEE Trans. Inf. Forensics Secur. 18: 491-500 (2023) - [c11]Marta Sokolowska, Michal Podpora:
Automated Machine Learning Evaluation of Squat Movement Patterns Using Smartphone and CoreML. IDAACS 2023: 1166-1171 - 2022
- [j10]Pawel Antonowicz
Digital Stereotypes in HMI - The Influence of Feature Quantity Distribution in Deep Learning Models Training. Sensors 22(18): 6739 (2022) - [j9]David Kasperek
Comparison of the Usability of Apple M1 Processors for Various Machine Learning Tasks. Sensors 22(20): 8005 (2022) - 2020
- [j8]Yuriy Khoma
Synthesis of Dynamic Errors Correcting Algorithm for Auto-Balancing Bridge Methods. IEEE Access 8: 165307-165318 (2020) - [j7]Miguel A. Prada
Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees. IEEE Access 8: 212818-212836 (2020) - [j6]Michal Podpora
A distributed cognitive approach in cybernetic modelling of human vision in a robotic swarm. Bio Algorithms Med Syst. 16(3) (2020) - [j5]Yaroslav Sovyn, Volodymyr Khoma, Michal Podpora
Comparison of Three CPU-Core Families for IoT Applications in Terms of Security and Performance of AES-GCM. IEEE Internet Things J. 7(1): 339-348 (2020) - [j4]Aleksandra Kawala-Sterniuk
Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes. Sensors 20(3): 807 (2020) - [j3]Michal Podpora
Human Interaction Smart Subsystem - Extending Speech-Based Human-Robot Interaction Systems with an Implementation of External Smart Sensors. Sensors 20(8): 2376 (2020) - [j2]Arkadiusz Gardecki
User Experience Sensor for Man-Machine Interaction Modeled as an Analogy to the Tower of Hanoi. Sensors 20(15): 4074 (2020)
2010 – 2019
- 2018
- [c10]Michal Podpora
Making Eye Contact with a Robot - Exploring User Experience in Interacting with Pepper. IC BCI 2018: 172-183 - [c9]Agnieszka Rozanska, Zaneta Rachwaniec-Szczecinska
Internet of Things Embedded System for Emotion Recognition. HealthCom 2018: 1-5 - [c8]Manuel Domínguez, Ramón Vilanova, Miguel A. Prada, José López Vicario, Marian Barbu, Maria João Varanda Pereira, Michal Podpora, Umberto Spagnolini, Paulo Alves, Anna Maria Paganoni:
SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data. LASI-SPAIN 2018: 50-61 - 2015
- [c7]Aleksandra Kawala-Janik
Game controller based on biomedical signals. MMAR 2015: 934-939 - 2014
- [j1]Aleksandra Kawala-Janik, Jerzy Baranowski, Michal Podpora, Pawel Piatek, Mariusz Pelc:
Use of a Cost-Effective Neuroheadset Emotiv EPOC for Pattern Recognition Purposes. Int. J. Comput. 13(1): 25-33 (2014) - [c6]Michal Podpora
YUV vs RGB-Choosing a Color Space for Human-Machine Interaction. FedCSIS (Position Papers) 2014: 29-34 - [c5]Marcin Majer, Michal Podpora
Pollutant's Dispersion in the Atmosphere. Parallel Models and Applications. FedCSIS (Position Papers) 2014: 85-90 - [c4]Aleksandra Kawala-Janik
Innovative approach in analysis of EEG and EMG signals - Comparision of the two novel methods. MMAR 2014: 804-807 - 2013
- [c3]Michal Podpora, Aleksandra Kawala-Janik, Mary Kiernan:
Autonomous Input Management for Human Interaction-Oriented Systems Design. FedCSIS 2013: 143-144 - [c2]Aleksandra Kawala-Janik
Implementation of an inexpensive EEG headset for the pattern recognition purpose. IDAACS 2013: 399-403 - [c1]Michal Podpora
Policy-based self-configuration of autonomous systems information inputs. IDAACS 2013: 845-848
Coauthor Index
aka: Aleksandra Kawala-Janik
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