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Adrian Horzyk
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2020 – today
- 2024
- [c43]Adrian Horzyk:
Advancing ConvNet Architectures: A Novel XGB-based Pruning Algorithm for Transfer Learning Efficiency. ECAI 2024: 2114-2121 - 2023
- [c42]Janusz A. Starzyk, Marcin Kowalik, Adrian Horzyk:
Motivated Agent with Semantic Memory. ECAI 2023: 2202-2209 - [c41]Adrian Horzyk, Jakub Kosno, Daniel Bulanda, Janusz A. Starzyk:
Explainable Sparse Associative Self-optimizing Neural Networks for Classification. ICONIP (9) 2023: 229-244 - [c40]Janusz A. Starzyk, Przemyslaw Stoklosa, Adrian Horzyk, Pawel Raif:
Structural Properties of Associative Knowledge Graphs. ICONIP (4) 2023: 326-339 - [c39]Adrian Horzyk, Daniel Bulanda, Janusz A. Starzyk:
Construction and Training of Multi-Associative Graph Networks. ECML/PKDD (3) 2023: 277-292 - [c38]Daniel Henel, Aleksander Mazur, Marcin Retajczyk, Weronika T. Adrian, Krzysztof Kluza, Adrian Horzyk:
Neural Network for Musical Data Mining for Phrase Boundary Detection. SSCI 2023: 1310-1315 - 2022
- [c37]Szymon Czaplak, Adrian Horzyk:
Automatic Optimization of Hyperparameters Using Associative Self-adapting Structures. IJCNN 2022: 1-8 - 2021
- [j9]Janusz A. Starzyk, Marek Jaszuk, Lukasz Maciura, Adrian Horzyk:
Concurrent Associative Memories With Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3736-3747 (2021) - [c36]Maciej Wójcik, Adrian Horzyk, Daniel Bulanda:
Associative Graphs for Fine-Grained Text Sentiment Analysis. ICONIP (2) 2021: 238-249 - 2020
- [j8]Adrian Horzyk, Daniel Bulanda, Janusz A. Starzyk:
ASA-graphs for efficient data representation and processing. Int. J. Appl. Math. Comput. Sci. 30(4): 717-731 (2020) - [j7]Janusz A. Starzyk, Lukasz Maciura, Adrian Horzyk:
Associative Memories With Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 31(1): 331-344 (2020) - [c35]Adrian Horzyk, Efe Ergün:
YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j6]Basawaraj, Janusz A. Starzyk, Adrian Horzyk:
Episodic Memory in Minicolumn Associative Knowledge Graphs. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3505-3516 (2019) - [c34]Adrian Horzyk, Agata Czajkowska:
Associative Pattern Matching and Inference Using Associative Graph Data Structures. ICAISC (2) 2019: 371-383 - [c33]Adrian Horzyk, Krzysztof Goldon, Janusz A. Starzyk:
Temporal Coding of Neural Stimuli. ICANN (Workshop) 2019: 607-621 - [c32]Janusz A. Starzyk, Rafal Niemiec, Adrian Horzyk:
Feature Significance in Wide Neural Networks. SSCI 2019: 909-916 - [c31]Adrian Horzyk, Janusz A. Starzyk:
Associative Data Model in Search for Nearest Neighbors and Similar Patterns. SSCI 2019: 933-940 - 2018
- [c30]Adrian Horzyk:
Associative Graph Data Structures with an Efficient Access via AVB+trees. HSI 2018: 169-175 - [c29]Maciej Janowski, Adrian Horzyk:
Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors. ICAISC (1) 2018: 76-87 - [c28]Piotr Papiez, Adrian Horzyk:
Motivated Reinforcement Learning Using Self-Developed Knowledge in Autonomous Cognitive Agent. ICAISC (1) 2018: 170-182 - [c27]Adrian Horzyk, Krzysztof Goldon:
Associative Graph Data Structures Used for Acceleration of K Nearest Neighbor Classifiers. ICANN (1) 2018: 648-658 - [c26]Adrian Horzyk, Janusz A. Starzyk:
Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks. IJCNN 2018: 1-8 - [c25]Patryk Orzechowski, Adrian Horzyk, Janusz A. Starzyk, Jason H. Moore:
Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. SSCI 2018: 2060-2067 - [c24]Adrian Horzyk, Janusz A. Starzyk:
Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs. SSCI 2018: 2068-2075 - 2017
- [j5]Adrian Horzyk, Janusz A. Starzyk, James Graham:
Integration of Semantic and Episodic Memories. IEEE Trans. Neural Networks Learn. Syst. 28(12): 3084-3095 (2017) - [c23]Adrian Horzyk:
Deep Associative Semantic Neural Graphs for Knowledge Representation and Fast Data Exploration. KEOD 2017: 67-79 - [c22]Adrian Horzyk:
Associative Representation and Processing of Databases Using DASNG and AVB+trees for Efficient Data Access. IC3K 2017: 242-267 - [c21]Adrian Horzyk:
Neurons Can Sort Data Efficiently. ICAISC (1) 2017: 64-74 - [c20]Basawaraj, Janusz A. Starzyk, Adrian Horzyk:
Lumped mini-column associative knowledge graphs. SSCI 2017: 1-8 - [c19]Adrian Horzyk, Janusz A. Starzyk:
Fast neural network adaptation with associative pulsing neurons. SSCI 2017: 1-8 - 2016
- [c18]Adrian Horzyk, Janusz A. Starzyk, Basawaraj:
Emergent creativity in declarative memories. SSCI 2016: 1-8 - [c17]Janusz A. Starzyk, James T. Graham, Adrian Horzyk:
Trust in motivated learning agents. SSCI 2016: 1-8 - 2015
- [c16]Adrian Horzyk:
Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons. ICAISC (1) 2015: 26-38 - 2014
- [j4]Adrian Horzyk:
How does generalization and creativity come into being in neural associative systems and how does it form human-like knowledge? Neurocomputing 144: 238-257 (2014) - [c15]Ryszard Tadeusiewicz, Adrian Horzyk:
Man-Machine Interaction Improvement by Means of Automatic Human Personality Identification. CISIM 2014: 278-289 - 2013
- [c14]Adrian Horzyk, Marcin Gadamer:
Associative Text Representation and Correction. ICAISC (1) 2013: 76-87 - [c13]Adrian Horzyk:
Human-Like Knowledge Engineering, Generalization, and Creativity in Artificial Neural Associative Systems. KICSS 2013: 39-51 - 2012
- [c12]Adrian Horzyk:
Information Freedom and Associative Artificial Intelligence. ICAISC (1) 2012: 81-89
2000 – 2009
- 2009
- [j3]Marcin Gadamer, Adrian Horzyk:
Automatic Contextual Text Correction using the Linguistic habits Graph Lhg. Comput. Sci. 10: 37-56 (2009) - [j2]Ewa Dudek-Dyduch, Ryszard Tadeusiewicz, Adrian Horzyk:
Neural network adaptation process effectiveness dependent of constant training data availability. Neurocomputing 72(13-15): 3138-3149 (2009) - [c11]Adrian Horzyk:
Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation. ICANNGA 2009: 1-10 - [c10]Adrian Horzyk, Ryszard Tadeusiewicz:
A Psycholinguistic Model of Man-Machine Interactions Based on Needs of Human Personality. ICMMI 2009: 55-67 - [p1]Adrian Horzyk:
Self-Optimizing Neural Network 3. Constructive Neural Networks 2009: 83-101 - 2008
- [c9]Adrian Horzyk:
Self Optimizing Neural Networks SONN-3 for Classification Tasks. HAIS 2008: 229-236 - [c8]Ewa Dudek-Dyduch, Adrian Horzyk:
The Influence of Training Data Availability Time on Effectiveness of ANN Adaptation Process. ICAISC 2008: 28-39 - [c7]Adrian Horzyk:
Introduction to Constructive and Optimization Aspects of SONN-3. ICANN (2) 2008: 763-772 - 2006
- [j1]Adrian Horzyk:
Similarities of self-optimizing neural networks to biological neural networks. Bio Algorithms Med Syst. 1(1-2): 13-20 (2006) - 2005
- [c6]Adrian Horzyk:
Interval Basis Neural Networks as a New Classification Tool. Artificial Intelligence and Applications 2005: 871-876 - [c5]Adrian Horzyk:
A New Extension of Self-optimizing Neural Networks for Topology Optimization. ICANN (1) 2005: 415-420 - [c4]Adrian Horzyk:
Unsupervised Clustering using Self-Optimizing Neural Networks. ISDA 2005: 118-123 - [c3]Adrian Horzyk, Ewa Dudek-Dyduch:
Effectiveness of Artificial Neural Networks Adaptation According to Time Period of Training Data Acquisition. ISDA 2005: 130-135 - [c2]Adrian Horzyk, Ryszard Tadeusiewicz:
Comparison of Plasticity of Self-optimizing Neural Networks and Natural Neural Networks. IWINAC (1) 2005: 156-165 - 2004
- [c1]Adrian Horzyk, Ryszard Tadeusiewicz:
Self-Optimizing Neural Networks. ISNN (1) 2004: 150-155
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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