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.

Tips and tricks how to write scientific papers

Current topics of possible Engineer's, Master's and Ph.D. theses are:

2024

  1. Igor Ratajczyk, Adrian Horzyk, Advancing ConvNet Architectures: A Novel XGB-based Pruning Algorithm for Transfer Learning Efficiency, Proc. of ECAI 2024, Volume 392, Frontiers in Artificial Intelligence and Applications, 2024, pp. 2114–2121. [MNiSW (PL) rank = 140 (2024)?] - 15min presentation
  2. Adrian Horzyk, Jakub Kosno, Daniel Bulanda, Janusz A. Starzyk, Explainable Sparse Associative Self-Optimizing Neural Networks for Classification, Eds. Biao Luo, Long Cheng, Zheng-Guang 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

  1. Adrian Horzyk, Daniel Bulanda, and Janusz A. Starzyk, Construction and Training of Multi-Associative 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. 277-292. [MNiSW (PL) rank = 140] (Commercial implementation, adaptation, and deployment) - poster and presentation
  2. 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. 5-8, 2023, IEEE, Xplore, Mexico, 2023, pp. 1310 - 1315. [IF, MNiSW (PL) rank = 30] - presentation - IEEE Travel Grant Award for Daniel Henel

2022

  1. S. Czaplak, A. Horzyk, Automatic Optimization of Hyperparameters Using Associative Self-adapting Structures, Proc. of 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, IEEE Xplore, 2022.[IF, MNiSW (PL) rank = 140] - poster, doi: 10.1109/IJCNN55064.2022.9892758

2021

  1. M. Wójcik, A. Horzyk, D. Bulanda, Associative Graphs for Fine-Grained 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

  1. A. Horzyk, D. Bulanda, J. A. Starzyk, ASA-graphs 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/amcs-2020-0053, [IF = 1.417, MNiSW (PL) rank = 100].
  2. 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. 1-8, doi: 10.1109/IJCNN48605.2020.9206848 - video presentation [MNiSW (PL) rank = 140]
  3. 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)
 Best Presentation Award

2019

  1. A. Horzyk, K. Gołdon, and J.A. Starzyk, Temporal Coding of Neural Stimuli, In: 28th International Conference on Artificial Neural Networks (ICANN 2019), Springer-Verlag, LNCS 11731, pp. 607-621, 2019, DOI: 10.1007/978-3-030-30493-5_56
  2. A. Horzyk, A. Czajkowska, Associative Pattern Matching and Inference Using Associative Graph Data Structures, In: Proc. of 18-th Int. Conf. ICAISC 2019, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, Springer-Verlag, LNAI 10509, pp. 371-383, 2019, DOI 10.1007/978-3-030-20915-5_34 - poster.
  3. Adrian Horzyk and Efe Ergün - the winners of the international conference ICANN 2019 competitions of using CI and DL.
 DogAgeChallenge Award certified to Adrian Horzyk and Efe Ergun the 2nd Winners

2018

  1. 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), Springer-Verlag, LNCS 11139, pp. 648-658, 2018. DOI: 10.1007/978-3-030-01418-6_64 - presentation
  2. M. Janowski, A. Horzyk, Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors, In: Proc. of 17-th Int. Conf. ICAISC 2018, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, Springer-Verlag, LNAI 10841, 2018, pp. 76-87, 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.
  3. P. Papież, A. Horzyk, Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent, In: Proc. of 17-th Int. Conf. ICAISC 2018, Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (Eds.), Artificial Intelligence and Soft Computing, Springer-Verlag, LNAI 10841, pp. 170-182, 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.
  4. M. Gadamer, A. Horzyk, Biologically Inspired Linguistic Habit Graph Networks Used For Text Correction, Proc. of 20-ty Conf. PCBBE 2017, In: Recent Developments and Achievements in Biocybernetics and Biomedical Engineering, Springer-Verlag, LNAI, pp. 304-314, 2018, DOI: 978-3-319-66905-2_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

  1. A. Horzyk, Gadamer, M., Associative Text Representation and Correction, Springer-Verlag Berlin Heidelberg, LNAI 7894, 2013, pp. 76-87. - 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

  1. 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. 245-250.
    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

  1. Gadamer, M. A. Horzyk, Automatic contextual text correction using the linguistic habits graph LHGG (language: Polish), Computer Science AGH, Vol. 10, Krakow, 2010, pp. 39-57.
    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

  1. A. Horzyk, Magierski S., Miklaszewski G., An Intelligent Internet Shop-Assistant Recognizing a Customer Personality for Improving Man-Machine Interactions (language: English), Kłopotek M.A. at all (eds.), Proc. of IIS 2009, Academic Publishing House EXIT, ISBN 978-83-60434-59-8, 2009, pp. 13-26 - 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.