The library will be closed between August 10, 2026 and August 16, 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
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
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.
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.
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.
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
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
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
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
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
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
