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Tiba Attila

Tiba Attila

Publication list

2025
1.
Lakatos, I., Bogacsovics, G., Tiba, A., Priksz, D., Juhász, B., Erdélyi, R., Berényi, Z., Bácskay, I., Ujvárosy, D., Harangi, B.: AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies.
Sensors. 25, 1-16, (article identifier: 1564), 2025.
Journal metrics:
Q1 Analytical Chemistry (2024)
Q2 Atomic and Molecular Physics, and Optics (2024)
Q2 Biochemistry (2024)
Q2 Electrical and Electronic Engineering (2024)
Q2 Information Systems (2024)
Q1 Instrumentation (2024)
Q2 Medicine (miscellaneous) (2024)
2024
2.
Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.: A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
Big Data Cogn. Comput. 8 (3), 1-24, 2024.
Journal metrics:
Q2 Artificial Intelligence
Q1 Computer Science Applications
Q1 Information Systems
Q1 Management Information Systems
3.
Bogacsovics, G., Harangi, B., Beregi-Kovács, M., Kupás, D., Lakatos, R., Serbán, N. D., Tiba, A., Tóth, J.: Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports.
In: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI). Ed.: Kovács Levente, Liberios Vokorokos, IEEE, Piscataway, 77-82, 2024. ISBN: 9798350317206
4.
Tiba, A., Hajdu, A., Girászi, T.: Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool.
Neural Process Lett. 56 (5), 1-25, (article identifier: 226), 2024.
Journal metrics:
Q2 Artificial Intelligence
Q2 Computer Networks and Communications
Q3 Neuroscience (miscellaneous)
Q2 Software
5.
Tiba, A., Bérczes, T., Bérczes, A., Zsuga, J.: Predicting Stroke Risk Based on ICD Codes Using Graph-Based Convolutional Neural Networks.
Mathematics. 12 (12), 1-15, (article identifier: 1814), 2024.
Journal metrics:
Q2 Computer Science (miscellaneous)
Q2 Engineering (miscellaneous)
Q2 Mathematics (miscellaneous)
2022
6.
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.
Journal metrics:
Q1 Artificial Intelligence
Q1 Software
2021
7.
Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J., Tarcsi, Á.: Adatelemzési folyamat és keretrendszer a közigazgatás számára.
Közigazgatástudomány. 1 (2), 146-158, 2021.
8.
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.
Journal metrics:
Q3 Computer Science (miscellaneous)
Q4 Mathematics (miscellaneous)
9.
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.
Journal metrics:
Q3 Computer Science (miscellaneous)
Q4 Mathematics (miscellaneous)
10.
Bankó, C., Nagy, Z. L., Nagy, M., Szemán-Nagy, G., Rebenku, I., Imre, L., Tiba, A., Hajdu, A., Szöllősi, J., Kéki, S., Bacsó, Z.: Isocyanide Substitution in Acridine Orange Shifts DNA Damage-Mediated Phototoxicity to Permeabilization of the Lysosomal Membrane in Cancer Cells.
Cancers (Basel). 13 (22), 1-24, (article identifier: 5652), 2021.
Journal metrics:
Q2 Cancer Research
Q1 Oncology
11.
Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J.: Napelemfarmok Magyarország területén történő elhelyezését segítő döntéstámogató rendszer fejlesztése.
Közigazgatástudomány. 1 (2), 134-145, 2021.
12.
Kolozsvári, L. R., Bérczes, T., Hajdu, A., Gesztelyi, R., Tiba, A., Varga, I., Al-Tammemi, A. B., Szőllősi, G. J., Kolozsváriné Harsányi, S., Garbóczy, S., Zsuga, J.: Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence: an application on the first and second waves.
Inform. Med. Unlocked. 25, 1-13, (article identifier: 100691), 2021.
Journal metrics:
Q2 Health Informatics
13.
Bogacsovics, G., Hajdu, A., Lakatos, R., Beregi-Kovács, M., Tiba, A., Tomán, H.: Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy.
Ann. Math. Inform. 53, 73-91, 2021.
Journal metrics:
Q3 Computer Science (miscellaneous)
Q4 Mathematics (miscellaneous)
2019
14.
Lantang, O., Tiba, A., Hajdu, A., Terdik, G.: Convolutional Neural Network For Predicting The Spread of Cancer.
In: Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2019. Szerk.: Péter Baranyi, IEEE-Inst Electrical Electronics Engineers Inc, Piscataway, 175-180, 2019. ISBN: 9781728147932
15.
Tiba, A., Bartik, Z., Tomán, H., Hajdu, A.: Detecting outlier and poor quality medical images with an ensemble-based deep learning system.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Ieee-Inst Electrical Electronics Engineers Inc, Piscataway, 99-104, 2019. ISBN: 9781728131405
16.
Hajdu, L., Harangi, B., Tiba, A., Hajdu, A.: Detecting Periodicity in Digital Images by the LLL Algorithm.
In: Progress in Industrial Mathematics at ECMI 2018. Ed.: István Faragó, Ferenc Izsák, Péter L. Simon, Springer, Cham, 613-619, 2019, ( Mathematics in Industry ; 30.)( The European Consortium for Mathematics in Industry ; 30.) ISBN: 9783030275495
17.
Tiba, A., Hajdu, A., Terdik, G., Tomán, H.: Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems.
In: Progress in Industrial Mathematics at ECMI 2018. Ed.: István Faragó, Ferenc Izsák, Péter L. Simon, Springer, Cham, 529-534, 2019, (Mathematics in Industry ; 30.)(The European Consortium for Mathematics in Industry ; 30.) ISBN: 9783030275495
18.
Bérczes, A., Bérczes, T., Varga, I., Tiba, A., Zsuga, J.: Using Laplacian spectrum to analise the comorbidities network of hemorrhagic stroke.
In: Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2019. Szerk.: Péter Baranyi, IEEE-Inst Electrical Electronics Engineers Inc, Piscataway, 53-60, 2019. ISBN: 9781728147932
2017
19.
Tiba, A., Harangi, B., Hajdu, A.: Efficient Texture Regularity Estimation for Second Order Statistical Descriptors.
In: Proceedings of the 10th International Image and Signal Processing and Analysis (ISPA). Ed.: Stanislav Kovačič, Sven Lončarić, Matej Kristan, Vitomir Štruc, Mladen Vučić, University of Zagreb, Zagreb, 90-94, 2017. ISBN: 9781509040117
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