P. Marjai, A. Kiss: A Survey on the Usage of Centrality Measures in Error Prediction. In Intelligent Computing (Lecture Notes in Networks and Systems 1019). Cham, CH : Springer, pp. 157–167, 2024. ISSN 2367-3370, ISBN 978-3-031-62273-1 link Abstract: The advent of extensive systems has led to a swift escalation in the volume of generated logs. Virtually [...]
P. Marjai, A. Kiss: The Usage of Template Mining in Log File Classification. IEEE ACCESS Vol. 12, pp. 96378–96386, 2024. ISSN 2169-3536 link Abstract: The continuing growth of large-scale and complex software systems has led to growing interest in examining the possibilities of using the log files that were created during the runtime of the software. [...]
B. Tusor, A. R. Várkonyi-Kóczy, S. Gubo: Functional Dependency Extraction with Sequential Indexed Search Trees. ACTA PHYSICA POLONICA A Vol. 146, No. 4, 2024. pp. 515–520. ISSN 0587-4246 link Abstract: Functional dependency analysis is an important field of data science, where the goal is to determine the relationships between different data attributes and attribute sets in [...]
I. F. Farkas, S. Szénási: Pallet Detection using Image Processing. In IEEE 29th International Conference on Intelligent Engineering Systems (INES 2025) Proceedings. pp. 329–334, 2025. ISBN 979-8-3315-9771-9 link Abstract: This paper presents a software capable of realtime pallet detection and positioning based on live camera feeds. Automated pallet handling plays an increasingly vital role in [...]
P. I. Osa, J. Zerubia, Z. Kató: AYANet: A Gabor Wavelet-Based and CNN-Based Double Encoder for Building Change Detection in Remote Sensing. In Pattern Recognition (Lecture Notes in Computer Science 15323). Cham, CH : Springer, pp. 131–146, 2025. ISSN 0302-9743, ISBN 978-3-031-78346-3 link Abstract: The main challenge presents in bitemporal building change detection (BCD) in [...]
P. I. Osa, J. Zerubia, Z. Kató: Gabor Feature Network for Transformer-based Building Change Detection Model in Remote Sensing. In 31st IEEE International Conference on Image Processing (ICIP 2024) Proceedings. pp. 2501–2507, 2024. ISBN 979-8-3503-4939-9 link Abstract: Detecting building change in bitemporal remote sensing (RS) imagery requires a model to highlight the changes in buildings [...]
T. Nyiri, A. Kiss: What Can We Learn From Small Data. InFOCOMMUNICATION Journal special issue, pp. 27-34, 2023. ISSN 2061-2079 link Abstract: Over the past decade, deep learning has profoundly transformed the landscape of science and technology, from refining advertising algorithms to pioneering self-driving vehicles. While advancements in computational capabilities have fueled this evolution, the [...]
H. K. Fatlawi, A. Kiss: An Elastic Self-Adjusting Technique for Rare-Class Synthetic Oversampling Based on Cluster Distortion Minimization in Data Stream. SENSORs Vol. 23, No. 4, Article No. 2061, pp. 1-19, 2023. ISSN 1424-8220 link Abstract: Adaptive machine learning has increasing importance due to its ability to classify a data stream and handle the changes [...]
B. Holicza, A. Kiss: Predicting and Comparing Students’ Online and Offline Academic Performance Using Machine Learning Algorithms. BEHAVIORAL Sciences Vol. 13, No. 4, Article No. 289, pp. 1-21, 2023. ISSN 2076-328X link Abstract: Due to COVID-19, the researching of educational data and the improvement of related systems have become increasingly important in recent years. Educational [...]
S. Tyagi, S. Szénási: Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review. MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1-30, 2023. ISSN 1380-7501 link Abstract: Human cognitive functions such as perception, attention, learning, memory, reasoning, and problem-solving are all significantly influenced by emotion. Emotion has a particularly potent impact on attention, modifying [...]