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Debreceni Egyetem. Informatikai Kar. Információ Technológia Tanszék / University of Debrecen. Faculty of Informatics. Department of Information Technology
Terdik, G.,
Dawod, A. B. A.:
Extending GLASSO to Non-Gaussian Settings: Sparse Concentration Estimation via EM Algorithm.
Comput. Stat. 41, 1-33, (article identifier: 90), 2026.
Terdik, G.:
On Fisher information for multivariate elliptically contoured distributions.
Stat. Probab. Lett. 234, 1-5, (article identifier: 110690), 2026.
Dawod, A. B. A.,
Terdik, G.:
Railway Track Quality Inspection via GLasso with Zerocrossing Segmentation.
In: , Springer, New York, 244-250, 2026, (Lecture Notes in Networks and Systems, ISSN 2367-3389 ; 1768.) ISBN: 9783032138972
Dawod, A. B. A.,
Terdik, G.:
Mapping Cognitive-Behavioral Networks: A Graphical Lasso Approach to Dependence Structure Visualization.
In: 2025 IEEE 16th International Conference on Cognitive Infocommunications (CogInfoCom) /CogInfo (szerk.) ISBN: 9798350356922
Gál, Z.,
Gál, M. B.,
Terdik, G.:
Markov Modelling and Cluster-Based Analysis of Transport Layer Traffic Using Quick User Datagram Protocol Internet Connections.
Eng. Proc. 2025 (108), 1-11, (article identifier: 31), 2025.
Chudo, S. B.,
Terdik, G.:
Modeling and Forecasting Time-Series Data with Multiple Seasonal Periods Using Periodograms.
Econometrics. 13 (2), 1-19, (article identifier: 14), 2025.
Gál, Z.,
Terdik, G.:
Hurkolt UDP és QUIC alapú szállítási réteg-mechanizmusok forgalmi tulajdonságai = Traffic properties of looped UDP and QUIC-based transport layer mechanisms.
In: XXV. Energetika-Elektrotechnika - ENELKO és XXXIV. Számítástechnika és Oktatás - SzámOkt Multi-konferencia / Erdélyi Magyar Műszaki Tudományos Társaság, Erdélyi Magyar Műszaki Tudományos Társaság, Brassó, 70-80, 2024, (ENELKO-SZÁMOKT Multi-konferencia, ISSN 2734-6757)
Dejene, G.,
Terdik, G.:
The Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA.
Acta Tech. Jaurinensis. 17 (3), 130-142, 2024.
Dawod, A. B. A.,
Terdik, G.:
Use of Zero-crossings Segmentation for Track Quality Assessment.
Acta Tech. Jaurinensis. 17 (1), 8-21, (article identifier: 14513), 2024.
Fischer, S.,
Liegner, N.,
Bocz, P.,
Vinkó, Á.,
Terdik, G.:
Investigation of Track Gauge and Alignment Parameters of Ballasted Railway Tracks Based on Real Measurements Using Signal Processing Techniques.
Infrastructures. 8 (2), 1-21, 2023.
Q2
Geotechnical Engineering and Engineering Geology
Q2
Materials Science (miscellaneous)
15.
Gál, Z.,
Terdik, G.:
Nagysebességű kommunikációs folyamatok nem-stacionárius datagram forgalmának időbeli mintázata = On the time patterns of the nonstationary datagram based fast communication processes.
In: Enelko - SzámOkt / Sebestyén-Pál György, Erdélyi Műszaki Tudományos Társaság - EMT, Kolozsvár, 111-121, 2023, (ISSN 2734-6757)
Hajdu, A.,
Terdik, G.,
Tiba, A.,
Tomán, H.:
A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning.
Mach. Learn. 111, 1551-1595, 2022.
Rao Jammalamadaka, S.,
Taufer, E.,
Terdik, G.:
Asymptotic theory for statistics based on cumulant vectors with applications.
Scand. J. Stat. 48 (2), 708-728, 2021.
Lantang, O.,
Terdik, G.,
Hajdu, A.,
Tiba, A.:
Comparison of single and ensemble-based convolutional neural networks for cancerous image classification.
Ann. Math. Inform. 54, 45-56, 2021.
Lantang, O.,
Terdik, G.,
Hajdu, A.,
Tiba, A.:
Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images.
Ann. Math. Inform. 53, 219-234, 2021.
