SCIENTIFIC PUBLICATIONS AND PAPERS WITH STUDENTS:
Ambitious students are invited for collaboration and undertaking scientific work during their engineering, Master's and doctoral dissertations or after defending their diploma theses.
You can be more legible and valuable for your future or current employers and you can stand out from the other candidates!
If you are interested in scientific work or would you like to publish an extended paper of your findings from your Engineer's or Master's thesis, don't hesitate to ask me. We can do something special, important, developing, which level you up in science and bump up your C.V. across other candidates! You can also start your scientific journey and scientific work under my conductance preparing your Ph.D. dissertation by the scholarship support and grants.
Current topics of possible Engineer's, Master's and Ph.D. theses are:
2024
 Adrian Horzyk, Jakub Kosno, Daniel Bulanda, Janusz A. Starzyk, Explainable Sparse Associative SelfOptimizing Neural Networks for Classification, Eds. Biao Luo, Long Cheng, ZhengGuang Wu, Hongyi Li, Chaojie Li, Proc. of 2023 International Conference on Neural Information Processing (ICONIP 2023), Springer Nature Computer Science (CCIS, LNAI, LNCS), Springer Nature Singapore Pte Ltd. 2024, LNCS (14450), CCIS 1963, Vol. 3, pp. 229–244, 2024, doi: . [MNiSW (PL) rank = 140  70 (2024)?]  presentation

2023
 Adrian Horzyk, Daniel Bulanda, and Janusz A. Starzyk, Construction and Training of MultiAssociative Graph Networks, Machine Learning and Knowledge Discovery in Databases: Research Track, European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part III, LNCS 14171, Chapter 17, Springer, 2023, pp. 277292. [MNiSW (PL) rank = 140] (Commercial implementation, adaptation, and deployment)  poster and presentation
 Daniel Henel, Aleksander Mazur, Marcin Retajczyk, Weronika T. Adrian, Krzysztof Kluza, Adrian Horzyk, Neural network for musical data mining for phrase boundary detection, Proc. of SSCI 2023 conference in Mexico City, Dec. 58, 2023, IEEE, Xplore, Mexico, 2023, pp. 1310  1315. [IF, MNiSW (PL) rank = 30]  presentation  IEEE Travel Grant Award for Daniel Henel

2022
 S. Czaplak, A. Horzyk, Automatic Optimization of Hyperparameters Using Associative Selfadapting Structures, Proc. of 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 18, IEEE Xplore, 2022.[IF, MNiSW (PL) rank = 140]  poster, doi: 10.1109/IJCNN55064.2022.9892758

2021
 M. Wójcik, A. Horzyk, D. Bulanda, Associative Graphs for FineGrained TextSentiment Analysis, Eds. Media Ayu, Kevin Wong, Achmad Nizar, Teddy Mantoro, Minho Lee, Jonathan H Chan, Lance Fung, In: Proc. of 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part II, Springer LNCS 13109, pp. 238–249, [MNiSW (PL) rank = 140]  video presentation.

2020
 A. Horzyk, D. Bulanda, J. A. Starzyk, ASAgraphs for Efficient Data Representation and Processing, International Journal of Applied Mathematics and Computer Science (AMCS), Vol. 30, No. 4, 2020, pp. 717  731, DOI 10.34768/amcs20200053, [IF = 1.417, MNiSW (PL) rank = 100].
 A. Horzyk and E. Ergün, YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, IEEE, Xplore, pp. 18, doi: 10.1109/IJCNN48605.2020.9206848  video presentation [MNiSW (PL) rank = 140]
 D. Bulanda, J.A. Starzyk, and A. Horzyk, FlexPoints: Efficient Algorithm for Detection of ECG Characteristic Points, XIV International Conference on Artificial Intelligence for Healthcare, ISAIH 2020, Paris, France, Dec, 2020 (Best Presentation Award)


2019
 A. Horzyk, K. Gołdon, and J.A. Starzyk, Temporal Coding of Neural Stimuli, In: 28th International Conference on Artificial Neural Networks (ICANN 2019), SpringerVerlag, LNCS 11731, pp. 607621, 2019, DOI: 10.1007/9783030304935_56
 A. Horzyk, A. Czajkowska, Associative Pattern Matching and Inference Using Associative Graph Data Structures, In: Proc. of 18th Int. Conf. ICAISC 2019, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, SpringerVerlag, LNAI 10509, pp. 371383, 2019, DOI 10.1007/9783030209155_34  poster.
 Adrian Horzyk and Efe Ergün  the winners of the international conference ICANN 2019 competitions of using CI and DL.


2018
 A. Horzyk and K. Gołdon, Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers, In: 27th International Conference on Artificial Neural Networks (ICANN 2018), SpringerVerlag, LNCS 11139, pp. 648658, 2018. DOI: 10.1007/9783030014186_64  presentation
 M. Janowski, A. Horzyk, Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors, In: Proc. of 17th Int. Conf. ICAISC 2018, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, SpringerVerlag, LNAI 10841, 2018, pp. 7687, 2018.
This paper was written together with inż. Maciej Janowski  a prominent student of AiR at the AGH University of Science and Technology expanding the research of his engineering work written under my conduction.
 P. Papież, A. Horzyk, Motivated Reinforcement Learning Using SelfDeveloped Knowledge in Autonomous Cognitive Agent, In: Proc. of 17th Int. Conf. ICAISC 2018, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, SpringerVerlag, LNAI 10841, pp. 170182, 2018.
This paper was written together with inż. Piotr Papież  a prominent student of AiR at the AGH University of Science and Technology expanding the research of his engineering work written under my conduction.
 M. Gadamer, A. Horzyk, Biologically Inspired Linguistic Habit Graph Networks Used For Text Correction, Proc. of 20ty Conf. PCBBE 2017, In: Recent Developments and Achievements in Biocybernetics and Biomedical Engineering, SpringerVerlag, LNAI, pp. 304314, 2018, DOI: 9783319669052_27.
This paper was written together with mgr inż. Marcin Gadamer  a prominent Ph.D. student of Computer Science at the AGH University of Science and Technology expanding the research of his Master's dissertation written under my conduction.
2013
 A. Horzyk, Gadamer, M., Associative Text Representation and Correction, SpringerVerlag Berlin Heidelberg, LNAI 7894, 2013, pp. 7687.  presentation.
This paper was written together with mgr inż. Marcin Gadamer  a prominent Ph.D. student of Computer Science at the AGH University of Science and Technology expanding the research of his Master's dissertation written under my conduction.
2012
 Gadamer, M., A. Horzyk, Text analysis and correction using specialized linguistic habit graphs LHG, Image Processing and Communication, Vol. 17, No. 4, Bydgoszcz, 2012, pp. 245250.
This paper was written together with mgr inż. Marcin Gadamer  a prominent Ph.D. student of Computer Science at the AGH University of Science and Technology expanding the research of his Master's dissertation written under my conduction.
2010
 Gadamer, M. A. Horzyk, Automatic contextual text correction using the linguistic habits graph LHGG (language: Polish), Computer Science AGH, Vol. 10, Krakow, 2010, pp. 3957.
This paper was written together with mgr inż. Marcin Gadamer  a prominent Ph.D. student of Computer Science at the AGH University of Science and Technology expanding the research of his Master's dissertation written under my conduction.
2009
 A. Horzyk, Magierski S., Miklaszewski G., An Intelligent Internet ShopAssistant Recognizing a Customer Personality for Improving ManMachine Interactions (language: English), Kłopotek M.A. at all (eds.), Proc. of IIS 2009, Academic Publishing House EXIT, ISBN 9788360434598, 2009, pp. 1326  presentation.
This paper was written together with mgr inż. Stanisław Magierski and Grzegorz Miklaszewski  two prominent students of AiR at the AGH University of Science and Technology expanding the research of his Master's dissertation written under my conduction.