1. Basawaraj, J. A. Starzyk, A. Horzyk, Lumped mini-column associative knowledge graphs In: IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), IEEE, 2017, pp. 347-354
    http://doi.org/10.1109/SSCI.2017.8285413 | Presentation | Animation
  2. A.Horzyk, J. Starzyk, Fast neural network adaptation with associative pulsing neurons In: IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), IEEE, 2017, pp. 339-346
    http://doi.org/10.1109/SSCI.2017.8285369 | Presentation | Animation Iris-4 | Animation Iris-12
  3. A.Horzyk, Deep Associative Semantic Neural Graphs for Knowledge Representation and Fast Data Exploration, In: 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management SCITEPRESS Digital Library, pp. 67-79
    http://doi.org/10.5220/0006504100670079 | Presentation
  4. A. Horzyk, J. Starzyk, Associative fine-tuning of biologically inspired active neuro-associative knowledge graphs, In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, IEEE, 2018, pp. 2068-2075,
    http://doi.org/10.1109/SSCI.2018.8628828 | Presentation
  5. P. Orzechowski, A. Horzyk, J. Starzyk, J. H. Moore, Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks, In: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, IEEE, 2018, pp. 2060-2067,
    http://doi.org/10.1109/SSCI.2018.8628780 | Presentation
  6. A. Horzyk, J. Starzyk, Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks, In: 2018 International Joint Conference on Neural Networks (IJCNN), IEEE, 2018, pp. 427-434,
    http://doi.org/10.1109/IJCNN.2018.8489176 | Presentation
  7. 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.
    http://doi.org/10.1007/978-3-319-91253-0_8
  8. 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
    http://doi.org/10.1007/978-3-319-91253-0_17
  9. A. Horzyk and J.A. Starzyk, Associative Data Model in Search for Nearest Neighbors and Similar Patterns, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), IEEE Xplore, pp. 932-939, 2019. | Presentation
  10. J.A. Starzyk, R. Niemiec, and A. Horzyk, Feature significance in wide neural networks, In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019), IEEE Xplore, pp. 908-915, 2019. | Presentation
  11. 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
    http://doi.org/10.1007/978-3-030-30493-5_56
  12.  A. Horzyk, Associative Representation and Processing of Databases Using DASNG and AVB+trees for Efficient Data Access, In: Knowledge Discovery, Knowledge Engineering and Knowledge Management, ISBN: 978-3-030-15639-8, Springer Verlag, pp. 242-267, 2019
    https://doi.org/10.1007/978-3-030-15640-4.
  13. 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)
  14.  M. Jaszuk, W. Pałka, M. Furgal, D. Darlak, J.A. Starzyk, Spatial scene representation and navigation in a mobile robot using RGB-D camera, 52th International Symposium on Robotics, Berlin VDE VERLAG 2020, pp. 221-228, https://www.vde-verlag.de/buecher/455428/isr-2020.html
  1. A. Horzyk, J. A. Starzyk, J. Graham, Integration of Semantic and Episodic Memories, IEEE Trans on Neural networks and Learning Systems 28, 2017, pp. 3084-3095
    DOI: 10.1109/TNNLS.2017.2728203
  2. J. A. Starzyk, Ł. Maciura, and A. Horzyk, Associative Memories with Synaptic Delays, IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, Issue 1, Jan. 2020, pp. 331 – 344
    DOI10.1109/TNNLS.2019.2921143
  3. Basawaraj, J. A. Starzyk, and A. Horzyk, Episodic Memory in a Minicolumn Associative Knowledge GraphIEEE Transactions on Neural Networks and Learning Systems, Vol. 30, Issue 11, Nov. 2019, pp. 3505-3516
    DOI: 10.1109/TNNLS.2019.2927106
  4.  J. A. Starzyk, M. Jaszuk, Ł. Maciura, A. Horzyk, Concurrent Associative Memories with Synaptic Delays, accepted to the IEEE Transactions on Neural Networks and Learning Systems, 2020. 
    DOI: 10.1109/TNNLS.2020.3041048
  5.  A. Horzyk, D. Bulanda, J. A. Starzyk, ASA-Graphs for Efficient Data Representation and Processing, International Journal of Applied Mathematics and Computer Science, vol. 30, no. 4, Dec. 2020. 
    DOI: 10.34768/amcs-2020-0053
  1. W. Galus and J. A. Starzyk, Świadomość? Ależ to bardzo proste!  BEL Studio, Warszawa, 1, 2018. 372 pp. Available at http://ksiegarnia.pwn.pl and ebook at http://libra.ibuk.pl/
  2.  W. Galus and J. A. Starzyk, Reductive Model of the Conscious Mind, IGI Global, 2020, DOI: 10.4018/978-1-7998-5653-5  
  3. D. Kwaśny and A.Horzyk (Supervisor), Analysis of significance of depth in recognition and semantic segmentation of images using deep learning, Master Thesis, AGH University of Science and Technology, Kraków 2019 (PDF)
  4. S. Dawida and A. Horzyk (Supervisor), Using deep neural networks to recognize hand gestures to control a mobile robot using a camera,  Diploma Project, AGH University of Science and Technology, Kraków 2020 (PDF)
  5. M. Marczewski and A. Horzyk (Supervisor), Environment exploration system by the Arlo mobile robot performing selected actions to recognize and classify objects in its environment, Diploma Project, AGH University of Science and Technology, Kraków 2020 (PDF)
  6. D. Stachura and A. Horzyk (Supervisor),  An intelligent system of the cognitive association of recognized and well-established 3D objects with the possibility of finding them by a mobile robot,  MS Thesis, AGH University of Science and Technology, Kraków 2020 (PDF)
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