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Publications

The Intelligent Information Systems Lab at the Technical University of Košice stands at the forefront of cutting-edge research in the field of information systems. Our dedicated team of researchers and scholars has contributed significantly to various domains, consistently pushing the boundaries of knowledge and technology. Our recent publications reflect the diverse and innovative nature of our work. Our publications are a testament to the lab’s commitment to excellence and its role in shaping the future of intelligent information systems. For a detailed exploration of our work, we invite you to delve into our published research.

2024

D. J. Hreško, Q. C. Ngo, R. Ogrin, P. Drotár, E. Ekinci, A. N. Tint, D. K. Kumar

Application of stylegan architecture for generating venous leg ulcer images

Journal: 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023).

D. J. Hreško, P. Drotár

BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation

Journal: IEEE Open Journal of Engineering in Medicine and Biology.

M. Gazda, P. Drotár, L. V. Romaguera, S. Kadoury

End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction

Journal: 2023 IEEE 20th International Symposium on Biomedical Imaging.

D. J. Hreško

Enhancing venous leg ulcer images via style mixing generation

Journal: 24th Scientific Conference of Young Researchers

M. Čavojský, G. Bugár, T. Kormaník, M. Hasin

Exploring the Capabilities and Possible Applications of Large Language Models for Education

Journal: ICETA 2023

R. Rauch

Leveraging Gumbel Softmax to Optimize Split Computing and Early Exiting for Autonomous Driving Applications in Vehicular Edge Computing

Journal: 24th Scientific Conference of Young Researchers

M. Muzelak, T. Škovránek, M. Ružička

Physics-Informed Neural Networks Application To Mass-Spring System Solution

Journal: 2024 25th International Carpathian Control Conference

M. Dopiriak

Radiance Fields Empowering Vehicular Metaverse

Journal: 24th Scientific Conference of Young Researchers

F. Adjailia, D. Jopek, M. Takáč, M. Ružička, S. Haddaoui

Simulation analysis of car aerodynamics within tunnel environment using deep learning: a comparative architectural study

Journal: 2024 6th International Conference on Pattern Analysis and Intelligent Systems.

J. Gazda, S. Dražilová, M. Gazda, M. Janičko, T. Koky, M. Macej, M. Carbone, P. Jarčuška

Treatment response to ursodeoxycholic acid in primary biliary cholangitis: A systematic review and meta-analysis

Journal: Digestive and Liver Disease

2023

R. Kanász, P. Gnip, M. Zoričák, P. Drotár

Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm

Journal: PeerJ. Computer science.

T. Maksymyuk, J. Gazda, G. Bugár, V. Gazda, M. Liyanage, M. Dohler

Blockchain-Empowered Service Management for the Decentralized Metaverse of Things

Journal: IEEE Access

M. Vološin, E. Šlapak, Z. Bečvář, T. Maksymyuk, A. Petík, M. Liyanage, J. Gazda

Blockchain-based route selection with allocation of radio and computing resources for connected autonomous vehicles

Journal: IEEE transactions on intelligent transportation systems.

M. Ružička, M. Dopiriak

Clustering Using Conditional Generative Adversarial Networks (cGANs)

Journal: Radioelektronika 2023.

M. Čavojský, G. Bugár, D. Levický

Comparative analysis of feed-forward and rnn models for intrusion detection in data network security with unsw-nb15 dataset

Journal: Radioelektronika 2023

Q. C. Ngo, M. A. Motin, N. D. Pah, P. Drotár, P. Kempster, D. Kumar

Computerized analysis of speech and voice for parkinson's disease: a systematic review

Journal: Computer Methods and Programs in Biomedicine

M. Ružička, Z. Bečvář, J. Gazda

Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Journal: IEEE Communications Letters.

M. Gazda, M. Hireš, P. Drotár

Ensemble of convolutional neural networks for Parkinson’s disease diagnosis from offline handwriting

Journal: The 20th Conference of the International Graphonomics Society.

D. J. Hreško, M. Kurej, J. Gazda, P. Drotár

Ensembled autoencoder regularization for multi-structure segmentation for kidney cancer treatment

Journal: Lesion Segmentation in Surgical and Diagnostic Applications

P. Bugata, P. Drotár

Feature selection based on a sparse neural-network layer with normalizing constraints

Journal: IEEE Transactions on Cybernetics.

M. Kubák, P. Nemec, R. Štefko, M. Vološin

On competition and transparency in public procurement during the COVID-19 pandemic in the European Union

Journal: E + M. Ekonomie a management = E&M Economics and Management.

M. Hireš, P. Drotár, N. D. Pah, Q. C. Ngo, D. K. Kumar

On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice

Journal: International Journal of Medical Informatics

D. J. Hreško, J. Vereb, V. Krigovsky, M. Gayová, P. Drotár

Refined mixup augmentation for diabetic foot ulcer segmentation

Journal: Diabetic Foot Ulcers Grand Challenge

E. Vorontsov, P. Molchanov, M. Gazda, C. Beckham, J. Kautz, S. Kadoury

Towards annotation-efficient segmentation via image-to-image translation

Journal: Medical Image Analysis

M. Hireš, M. Gazda, L. Vavrek, P. Drotár

Voice-specific augmentations for Parkinson’s disease detection using deep convolutional neural network

Journal: SAMI 2022