SCIENTIFIC PUBLICATIONS AND PAPERS:

  • [Rozmiar: 11195 bajtów]
  • [Rozmiar: 11195 bajtów]
  • [Rozmiar: 11195 bajtów]


PUBLICATION AND INDICES OVER PREVIOUS YEARS (Last update 2019-12-31):

Number Of Publications Of Adrian Horzyk Over Last Years (129 kB)

CO-AUTHORS OF THE PAPERS (Last update 2019-12-31):

Collaborators And Coauthors Of Papers Of Adrian Horzyk (345 kB)

SCIENTIFIC PAPERS AND PUBLICATIONS:

The major part of the following publications (according to the publishing restrictions) are available on my ResearchGate account.

IN REVIEW

  1. A. Horzyk, D. Bulanda, J. A. Starzyk, ASA-graphs for Efficient Data Representation and Processing, AMCS, status: in review since August 2020.
  2. M. Kowalik, J. A. Starzyk, A. Horzyk, Motivated agent with semantic memory, IEEE Transactions on Neural Networks and Learning Systems, status: in review since August 2020.
  3. J. A. Starzyk, M. Niemiec, £. Maciura, A. Horzyk, Concurrent Associative Memories with Synaptic Delays, IEEE Transactions on Neural Networks and Learning Systems, status: in review since August 2019.

2020

  1. 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 - presentation - movie
  2. J. A. Starzyk, £. Maciura, A. Horzyk, Associative Memories with Synaptic Delays, IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, Issue 1, Jan. 2020, pp. 331 - 344, DOI: 10.1109/TNNLS.2019.2921143 (TNNLS-2018-P-9188), IF = 11.683.

2019

  1. Basawaraj, J. A. Starzyk, A. Horzyk, Episodic Memory in Minicolumn Associative Knowledge Graphs, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, Issue 11, Nov. 2019, pp. 3505-3516, DOI: 10.1109/TNNLS.2019.2927106 (TNNLS-2018-P-9932), IF = 11.683.
  2. 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
  3. 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
  4. 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
  5. 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.
  6. 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, Eds.: Ana Fred, David Aveiro, Jan Dietz, Kecheng Liu, Ana Carolina Salgado, Jorge Bernardino and Joaquim Filipe, ISBN: 978-3-030-15639-8, Springer Verlag, pp. 242-267, 2019, DOI 978-3-030-15640-4_13.

2018

  1. A. Horzyk and J.A. Starzyk, Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs, In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018), IEEE Xplore, pp. 2068-2075, 2018. presentation
  2. P. Orzechowski, A. Horzyk, J.A. Starzyk, and Jason H. Moore, Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks, In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018), IEEE Xplore, pp. 2060-2067, 2018. presentation
  3. 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
  4. A. Horzyk, Associative Graph Data Structures with an Efficient Access via AVB+trees, In: 2018 11th International Conference on Human System Interaction (HSI), IEEE Xplore, pp. 169 - 175, 2018, DOI: 10.1109/HSI.2018.8430973 - presentation
  5. A. Horzyk and J.A. Starzyk, Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks, In: 2018 IEEE World Congress on Computational Intelligence (WCCI 2018), 2018 International Joint Conference on Neural Networks (IJCNN 2018), IEEE Xplore, pp. 427-434, 2018. - presentation
  6. 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, pp. 76-87, 2018.
  7. 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.
  8. 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.

2017

  1. A. Horzyk, J. A. Starzyk, J. Graham, Integration of Semantic and Episodic Memories, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, Issue 12, Dec. 2017, pp. 3084 - 3095, DOI: 10.1109/TNNLS.2017.2728203, IF = 6.108.
  2. A. Horzyk, Neurons Can Sort Data Efficiently, In: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L., Zurada J. (eds), Artificial Intelligence and Soft Computing, Proc. of ICAISC 2017, Springer-Verlag, LNCS, Vol. 10245, pp. 64-74, 2017, DOI: 10.1007/978-3-319-59063-9_6 - ICAISC BEST PAPER AWARD 2017 sponsored by Springer - poster.
  3. A. Horzyk, Deep Associative Semantic Neural Graphs for Knowledge Representation and Fast Data Exploration, Proc. of KEOD 2017, SCITEPRESS Digital Library, 2017, pp. 67-79. - presentation, DOI: 10.5220/0006504100670079
  4. A. Horzyk and J.A. Starzyk, Fast Neural Network Adaptation with Associative Pulsing Neurons, IEEE Xplore, In: 2017 IEEE Symposium Series on Computational Intelligence, pp. 339-346, 2017, DOI: 10.1109/SSCI.2017.8285369. - presentation, movie Iris-4, movie Iris-12
  5. Basawaraj, Janusz A. Starzyk and A. Horzyk, Lumped Mini-Column Associative Knowledge Graphs, IEEE Xplore, In: 2017 IEEE Symposium Series on Computational Intelligence, pp. 347-354, 2017, DOI: 10.1109/SSCI.2017.8285413. - presentation, movie

2016

  1. J. A. Starzyk, J. Graham, A. Horzyk, Trust in Motivated Learning Agents, IEEE Xplore, In: 2016 IEEE Symposium Series on Computational Intelligence, Greece, Athens: Institute of Electrical and Electronics Engineers, Curran Associates, Inc. 57 Morehouse Lane Red Hook, NY 12571 USA, 2016, ISBN 978-1-5090-4239-5, pp. 1-8, DOI: 10.1109/SSCI.2016.7850027.
  2. A. Horzyk, J. A. Starzyk and Basawaraj, Emergent creativity in declarative memories, IEEE Xplore, In: 2016 IEEE Symposium Series on Computational Intelligence, Greece, Athens: Institute of Electrical and Electronics Engineers, Curran Associates, Inc. 57 Morehouse Lane Red Hook, NY 12571 USA, 2016, ISBN 978-1-5090-4239-5, pp. 1-8, DOI: 10.1109/SSCI.2016.7850029.
  3. A. Horzyk, Human-Like Knowledge Engineering, Generalization and Creativity in Artificial Neural Associative Systems, Springer-Verlag, AISC 11156, ISSN 2194-5357, ISBN 978-3-319-19089-1, ISBN 978-3-319-19090-7 (eBook), DOI 10.1007/978-3-319-19090-7, Springer, Switzerland, 2016, pp. 39-51. DOI: 10.1007%2F978-3-319-19090-7_4

2015

  1. Horzyk, A., Contextual generalizing of robot control step sequences using associative neural graphs - invited talk in the BIT's International Congress WCR 2015 w Shenyang, China, and the 14-th China International Equipment Manufacturing Exposition, 2015-08-30 - 2015-09-02 - presentation
  2. Horzyk, A., Innovative types and abilities of neural networks based on associative mechanisms and a new associative model of neurons - the invited talk and paper at the International Conference ICAISC 2015, Springer-Verlag, LNAI 9119, 2015, pp. 26-38, DOI 10.1007/978-3-319-19324-3_3 - presentation

2014

  1. Tadeusiewicz, R., Horzyk, A., Man-Machine Interaction Improvement by Means of Automatic Human Personality Identification, (language: English), Springer-Verlag, LNCS 8838, 2014, pp. 278-289.
  2. Horzyk, A., How Does Generalization and Creativity Come into Being in Neural Associative Systems and How Does It Form Human-Like Knowledge? (language: English), Elsevier, Neurocomputing, Volume 144, 2014, pp. 238-257, DOI: 10.1016/j.neucom.2014.04.046, IF = 1.634

DSc DISSERTATION:

Horzyk, A., Artificial Associative Systems and Associative Artificial Intelligence, (language: Polish), Krakow 2014-06-12.

BEFORE DSc OF COMPUTER SCIENCE:


2013

  1. Horzyk, A., How Does Human-Like Knowledge Come into Being in Artificial Associative Systems, Proc. of the 8-th International Conference on Knowledge, Information and Creativity Support Systems, ISBN 978-83-912831-8-9, Krakow, Poland, 2013, pp. 189-200. - presentation
  2. Tadeusiewicz, R., Horzyk, A., Man-Machine Interaction Improvement by Means of Automatic Human Personality Identification (language: English), Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen (Eds.), Springer-Verlag, LNCS 8104, 2013, pp. 10. - keynote lecture
  3. Horzyk, A., Artificial Associative Systems and Associative Artificial Intelligence (language: Polish), Academic Publishing House EXIT, Warsaw, 2013, postdoctoral monograph, pp. 1-280.
  4. Tadeusiewicz, R., Rutkowski, L., Szaleniec M., Horzyk, A., Strzelecki M. (eds.): Supplement – Compendium of Neural Networks (language: Polish) in Biomedical Engineering. Basics and Applications. Neural Networks in Biomedical Engineering, Tadeusiewicz, R., Korbicz, J., Rutkowski, L., Duch, W. (eds.), Vol. 9, eds., EXIT, Warsaw, 2013, pp. 669-670, 673-676, 689-690, 721-724.
  5. Horzyk, A., Gadamer, M., Associative Text Representation and Correction, Springer-Verlag Berlin Heidelberg, LNAI 7894, 2013, pp. 76-87. - presentation.

2012

  1. Gadamer, M., Horzyk, A., Text analysis and correction using specialized linguistic habit graphs LHG, Image Processing and Communication, Vol. 17, No. 4, Bydgoszcz, 2012, pp. 245-250.
  2. Horzyk, A., Negotiations. Proven Strategies (language: Polish), guide in the series of Samo Sedno, ISBN 978-83-7788-168-2, Edgard, Warsaw, 2012 - check availability
  3. Horzyk, A., Information Freedom and Associative Artificial Intelligence, Springer-Verlag Berlin Heidelberg, LNAI 7267, ISBN 978-3-642-29346-7, 2012, pp. 81-89

2011

  1. Horzyk, A., Dudek-Dyduch, E., Efficiency of artificial intelligence models due to data association and availability, PAR, 2011, pp. 158-164
  2. Horzyk, A., Awaiting for artificial intelligence (language: Polish), Software Developer's Journal, 2011, Vol. 4, pp. 12-17.

2009

  1. Horzyk, A., Self-Optimizing Neural Network 3, L. Franco, D. Elizondo, J.M. Jerez (eds.), Constructive Neural Networks, Springer, Series: Studies in Computational Intelligence, ISBN 978-3-642-04511-0, Vol. 258, 2009, pp. 83-101 - the computer application comparing SONN-3 to other methods.
  2. Horzyk, A., Tadeusiewicz R.: Features of user personality in artificial intelligence systems (language: Polish), Knowledge Engineering and Expert Systems, Adam Grzech et al. (eds.), Warsaw, Academic Publishing House EXIT, 2009, pp. 3-18 - presentation.
  3. Horzyk, A., 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.
  4. Dudek-Dyduch, E., Tadeusiewicz, R., Horzyk, A., Neural Network Adaptation Process Effectiveness Dependent of Constant Training Data Availability, Elsevier, Neurocomputing 72, 2009, pp. 3138-3149, IF = 1.440
  5. Horzyk, A., Tadeusiewicz, R., A Psycholinguistic Model of Man-Machine Interactions Based on Needs of Human Personality (language: English), Man-Machine Interactions, K.A. Cyran (eds.), Proc. of ICMMI 2009, Springer, Advances in Intelligent and Soft Computing 59, 2009, pp. 55-67 - presentation.
  6. Horzyk, A., Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying Input Data Space and Data Representation (language: English), M. Kolehmainen et al. (eds.), Proc. of ICANNGA 2009, Springer-Verlag, LNCS 5495, 2009, pp. 1-10.
  7. Gadamer, M. Horzyk, A., Automatic contextual text correction using the linguistic habits graph LHGG (language: Polish), Computer Science AGH, Vol. 10, Krakow, 2010, pp. 39-57

2008

  1. Horzyk, A., Self Optimizing Neural Networks SONN-3 for Classification Tasks (language: English), E. Corchado, A. Abraham, W. Pedrycz (eds.), Proc. of HAIS 2008, LNAI 5271, Springer-Verlag, Berlin Heidelberg 2008, pp. 229-236.
  2. Horzyk, A., Introduction to Constructive and Optimization Aspects of SONN-3 (language: English), V. Kurkova, R. Neruda, J. Koutnik (eds.), Proc. of ICANN 2008, LNCS 5164, Springer-Verlag, Berlin Heidelberg 2008, pp. 763-772.
  3. Dudek-Dyduch, E., Horzyk, A., The Influence of Training Data Availability Time on Effectiveness of ANN Adaptation Process L. Rutkowski, R. Tadeusiewicz, L.A.Zadeh, J.M.Żurada (eds.), Proc. of ICAISC 2008, LNAI 5097, Springer-Verlag, Berlin Heidelberg 2008, pp. 28-39.

2006

  1. Horzyk, A., Innovative Prediction Technology for Automatic Speech Recognition Academic Publishing House EXIT, Warsaw 2005, pp. 251-258.

2005

  1. Horzyk, A., A New Extension of Self-Optimizing Neural Networks for Topology Optimization W. Duch et al. (eds.), ICANN 2005, LNCS 3696, Springer-Verlag Berlin Heidelberg, 2005, pp. 415-420, IF = 0.402.
  2. Horzyk, A., Unsupervised Clustering using Self-Optimizing Neural Networks H. Kwaśnicka, M. Paprzycki (eds.), IEEE Computer Society Press, Washington-Brussels-Tokyo, 2005, pp. 118-123.
  3. Horzyk, A., Dudek-Dyduch E., Effectiveness of Artificial Neural Networks Adaptation According to Time Period of Training Data Acquisition H. Kwaśnicka, M. Paprzycki (Eds.), IEEE Computer Society Press, Washington-Brussels-Tokyo, 2005, pp. 130-135.
  4. Horzyk, A., Self-Optimizing Neural Network Similarities to Biological Neural Networks (language: Polish), Irena Roterman-Konieczna (eds.), Proc of Polish Conf. of Biological Cybernetic System Modelling, ISBN 83-7188-834-1, Krakow, 2005, pp. 67.
  5. Horzyk, A., Tadeusiewicz R., Comparison of Plasticity of Self-Optimizing Neural Networks and Natural Neural Networks Mira, J. and Alvarez J.R. (eds.), LNCS 3561, Springer-Verlag Berlin Heidelberg, 2005, pp. 156-165, IF = 0.402
  6. Horzyk, A., Interval Basis Neural Networks, Adaptive and Natural Computing Algorithms Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds), Springer Wien New York, 2005, pp. 50-53.
  7. Horzyk, A., Interval Basis Neural Networks as a New Classification Tool Proc. of Int. Conf. Artificial Intelligence and Applications, ACTA Press, Anaheim Calgary Zurich, 2005, pp. 871-876.

2004

  1. Horzyk, A., Automatic reduction of input data dimension for classification problems (language: Polish), Automatics AGH, Krakow, 2004, Vol. 8, No. 3, pp. 487-496.
  2. Horzyk, A., Samo-Optymalizujące Sieci Neuronowe jako nowe narzędzie obliczeniowe w biomedycynie (language: Polish), Proc. of Artificial Intelligence in Biomedical Engineering, preTEXt, ISBN 83-919051-5-2, Zabierzow, 2004.
  3. Mendyk A., Horzyk, A., Jachowicz R., Polak S., Similarities of self-optimizing neural networks to biological neural networks (language: Polish), Proc. of Artificial Intelligence in Biomedical Engineering, preTEXt, ISBN 83-919051-5-2, Zabierzow, 2004.
  4. Polak S., Horzyk, A., Mendyk A., Skowron A., Brandys J., Perspective of self-optimizing neural networks use in pharmacy – modeling of survival time for III-B and IV-th stage of non-small cell lung cancer patients (language: Polish), Proc. of Artificial Intelligence in Biomedical Engineering, preTEXt, ISBN 83-919051-5-2, Zabierzow, 2004.
  5. Horzyk, A., Tadeusiewicz R., Self-Optimizing Neural Networks, Advances in Neural Networks ISNN 2004, Proc. Of International Symposium on Neural Networks, Dalian, China, Springer-Verlag, Berlin Heidelberg, 2004, pp. 150-155, IF = 0.513.

2003

  1. Horzyk, A., Introduction to Self-Optimizing Neural Networks for Classification Tasks Proc. of Int. Conf. Advanced Computer Systems, INFORMA, Szczecin 2003, pp. 127-136.
  2. Horzyk, A., Efficient classification using a new kind of ontogenic neural networks. Information Biulletin of Computer Science and Computer Methods Section in Ministry of Science and Computer Science (language: Polish), No. 19, Gliwice, 2003, pp. 50-51.
  3. Horzyk, A., Fast Analytic Optimization of Multilayer Neural Networks Architecture for Classification Tasks Knowledge Engineering and Experts Systems, Bubnicki Z., Grzech A. (red.), Oficyna Wydawnicza Politechniki Wrocławskiej, Wroclaw, 2003, pp. 466-473.
  4. Dudek-Dyduch E., Horzyk, A., Analytical Synthesis of Neural Networks for Selected Classes of Problems Knowledge Engineering and Experts Systems, Bubnicki Z., Grzech A. (eds.), Oficyna Wydawnicza Politechniki Wrocławskiej, Wroclaw, 2003, pp. 194-206.
  5. Horzyk, A., New Ontogenic Neural Network Classificator Based on Probabilistic Reasoning, Advances in Soft Computing Neural Networks and Soft Computing, Rutkowski L., Kacprzyk J. (eds.), Heidelberg, Physica Verlag, Springer-Verlag Company, 2003, 188-193.

2002

  1. Horzyk, A., ‘New Efficient Ontogenic Neural Networks for Classification Tasks Advanced Computer Systems, Sołdek J., Drobiazgiewicz L. (eds.), Szczecin, INFORMA, 2002, 295-302.

DOCTORAL DISSERTATION:

Horzyk, A., New methods of training neural networks without feedback (language: Polish), Doctoral's thesis', Krakow 2001-10-26.

BEFORE DOCTORATE:


2001

  1. Horzyk, A., New Method of Guided Compromises for Learning Artificial Neural Networks Proeedings of the IASTED International Conference on Artificial Intelligence and ApplicationsIASTED, Anaheim - Calgary – Zurich, ACTA Press, 2001, pp. 93-98
  2. Horzyk, A., Fast Automatic Configuration of Artificial Neural Networks Used for Binary Patterns Recognition Biocybernetics and Biomedical Engineering, Vol. 21, No. 1, PWN, Warsaw, 2001.

1999

  1. Horzyk, A., A Neural Network Used for the Color Conversion from RGB to CMY Scientific Papers of Jagiellonian University, Computer Science Works, Krakow, 1999, no. 9, pp. 59-73.

1998

  1. Horzyk, A., A Hybrid Neural Network Used for the Color Conversion from RGB to CMY and a New Method for Choosing a Learning Set Image Processing & Communications, International Journal, 1998, vol. 4, no. 1-2, pp. 37-45.