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Janusz A. Starzyk
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2020 – today
- 2023
- [c56]Janusz A. Starzyk
, Marcin Kowalik
, Adrian Horzyk
:
Motivated Agent with Semantic Memory. ECAI 2023: 2202-2209 - [c55]Adrian Horzyk
, Jakub Kosno
, Daniel Bulanda
, Janusz A. Starzyk
:
Explainable Sparse Associative Self-optimizing Neural Networks for Classification. ICONIP (9) 2023: 229-244 - [c54]Janusz A. Starzyk
, Przemyslaw Stoklosa
, Adrian Horzyk
, Pawel Raif
:
Structural Properties of Associative Knowledge Graphs. ICONIP (4) 2023: 326-339 - [c53]Adrian Horzyk
, Daniel Bulanda
, Janusz A. Starzyk
:
Construction and Training of Multi-Associative Graph Networks. ECML/PKDD (3) 2023: 277-292 - 2021
- [j34]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) - 2020
- [j33]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) - [j32]Janusz A. Starzyk
, Lukasz Maciura
, Adrian Horzyk
:
Associative Memories With Synaptic Delays. IEEE Trans. Neural Networks Learn. Syst. 31(1): 331-344 (2020)
2010 – 2019
- 2019
- [j31]Basawaraj
, Janusz A. Starzyk
, Adrian Horzyk
:
Episodic Memory in Minicolumn Associative Knowledge Graphs. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3505-3516 (2019) - [c52]Adrian Horzyk
, Krzysztof Goldon
, Janusz A. Starzyk
:
Temporal Coding of Neural Stimuli. ICANN (Workshop) 2019: 607-621 - [c51]Janusz A. Starzyk
, Rafal Niemiec, Adrian Horzyk
:
Feature Significance in Wide Neural Networks. SSCI 2019: 909-916 - [c50]Adrian Horzyk
, Janusz A. Starzyk
:
Associative Data Model in Search for Nearest Neighbors and Similar Patterns. SSCI 2019: 933-940 - 2018
- [c49]Adrian Horzyk
, Janusz A. Starzyk
:
Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks. IJCNN 2018: 1-8 - [c48]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 - [c47]Adrian Horzyk
, Janusz A. Starzyk:
Associative Fine-Tuning of Biologically Inspired Active Neuro-Associative Knowledge Graphs. SSCI 2018: 2068-2075 - 2017
- [j30]Janusz A. Starzyk, James T. Graham:
MLECOG: Motivated Learning Embodied Cognitive Architecture. IEEE Syst. J. 11(3): 1272-1283 (2017) - [j29]Janusz A. Starzyk, James Graham
, Leszek Puzio
:
Needs, Pains, and Motivations in Autonomous Agents. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2528-2540 (2017) - [j28]Adrian Horzyk
, Janusz A. Starzyk
, James Graham
:
Integration of Semantic and Episodic Memories. IEEE Trans. Neural Networks Learn. Syst. 28(12): 3084-3095 (2017) - [c46]Basawaraj
, Janusz A. Starzyk
, Adrian Horzyk
:
Lumped mini-column associative knowledge graphs. SSCI 2017: 1-8 - [c45]Adrian Horzyk
, Janusz A. Starzyk
:
Fast neural network adaptation with associative pulsing neurons. SSCI 2017: 1-8 - 2016
- [c44]Adrian Horzyk
, Janusz A. Starzyk, Basawaraj
:
Emergent creativity in declarative memories. SSCI 2016: 1-8 - [c43]Janusz A. Starzyk, James T. Graham, Adrian Horzyk
:
Trust in motivated learning agents. SSCI 2016: 1-8 - 2015
- [j27]James T. Graham, Janusz A. Starzyk, Daniel Jachyra:
Opportunistic Behavior in Motivated Learning Agents. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1735-1746 (2015) - [c42]Janusz A. Starzyk:
Visual Saccades for Object Recognition. ICAISC (1) 2015: 778-788 - [c41]James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan
:
A comparative study between motivated learning and reinforcement learning. IJCNN 2015: 1-8 - 2014
- [j26]Janusz A. Starzyk, Basawaraj
:
Memristor Crossbar Architecture for Synchronous Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(8): 2390-2401 (2014) - [c40]James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He:
Advancing motivated learning with goal creation. CIHLI 2014: 70-77 - [c39]Janusz A. Starzyk, James T. Graham, Leszek Puzio
:
Managing Machine's Motivations. ICAISC (2) 2014: 278-289 - [c38]Teck-Hou Teng, Ah-Hwee Tan
, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow:
Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game. IJCNN 2014: 4229-4236 - [c37]Teck-Hou Teng, Ah-Hwee Tan
, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow:
Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning. WI-IAT (3) 2014: 190-197 - 2013
- [j25]Vu Anh Nguyen, Janusz A. Starzyk, Wooi-Boon Goh:
A spatio-temporal Long-term Memory approach for visual place recognition in mobile robotic navigation. Robotics Auton. Syst. 61(12): 1744-1758 (2013) - [c36]Janusz A. Starzyk, Pawel Raif
:
Cognitive agent and its implementation in the blender game engine environment. CIHLI 2013: 1-8 - [c35]James T. Graham, Janusz A. Starzyk:
Transitioning from motivated to cognitive agent model. CIHLI 2013: 9-16 - [c34]Janusz A. Starzyk, James T. Graham, Leszek Puzio
:
Simulation of a Motivated Learning Agent. AIAI 2013: 205-214 - [c33]Janusz A. Starzyk, Basawaraj
:
Comparison of Two Memristor Based Neural Network Learning Schemes for Crossbar Architecture. IWANN (1) 2013: 492-499 - [c32]Marek Jaszuk
, Janusz A. Starzyk:
Building Internal Scene Representation in Cognitive Agents. KICSS 2013: 479-491 - 2012
- [j24]Janusz A. Starzyk, James T. Graham, Pawel Raif
, Ah-Hwee Tan
:
Motivated learning for the development of autonomous systems. Cogn. Syst. Res. 14(1): 10-25 (2012) - [j23]Peyman Moghadam
, Janusz A. Starzyk, W. Sardha Wijesoma:
Fast Vanishing-Point Detection in Unstructured Environments. IEEE Trans. Image Process. 21(1): 425-430 (2012) - [j22]Tingwen Huang
, Chuandong Li
, Shukai Duan
, Janusz A. Starzyk:
Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects. IEEE Trans. Neural Networks Learn. Syst. 23(6): 866-875 (2012) - [j21]Vu Anh Nguyen, Janusz A. Starzyk, Wooi-Boon Goh, Daniel Jachyra:
Neural Network Structure for Spatio-Temporal Long-Term Memory. IEEE Trans. Neural Networks Learn. Syst. 23(6): 971-983 (2012) - [j20]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan
, Janusz A. Starzyk:
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1574-1586 (2012) - [c31]James T. Graham, Janusz A. Starzyk, Daniel Jachyra:
Opportunistic Motivated Learning Agents. ICAISC (2) 2012: 442-449 - [c30]Basawaraj, Janusz A. Starzyk, Marek Jaszuk:
A Question Answer Approach to Building Semantic Memory. ICAISC (2) 2012: 716-723 - [c29]Vu Anh Nguyen, Janusz A. Starzyk, Wooi-Boon Goh:
Sequence recognition with spatio-temporal long-term memory organization. IJCNN 2012: 1-8 - [c28]Xudan Xu, James T. Graham, Basawaraj, J. Jim Zhu, Janusz A. Starzyk, Ping Zhang:
A Biopsychically Inspired Cognitive System for Intelligent Agents in Aerospace Applications. Infotech@Aerospace 2012 - 2011
- [c27]Janusz A. Starzyk:
Mental saccades in control of cognitive process. IJCNN 2011: 495-502 - [c26]Pawel Raif
, Janusz A. Starzyk:
Motivated learning in autonomous systems. IJCNN 2011: 603-610 - 2010
- [c25]Vu Anh Nguyen, Janusz A. Starzyk, Alex Leng Phuan Tay, Wooi-Boon Goh:
Spatio-temporal sequence learning of visual place cells for robotic navigation. IJCNN 2010: 1-8 - [c24]Janusz A. Starzyk, Pawel Raif
, Ah-Hwee Tan
:
Mental development and representation building through motivated learning. IJCNN 2010: 1-8 - [c23]Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan
, Janusz A. Starzyk:
A self-organizing approach to episodic memory modeling. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j19]Janusz A. Starzyk, Haibo He:
Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. IEEE Trans. Neural Networks 20(5): 768-780 (2009) - 2008
- [j18]Yinyin Liu, Janusz A. Starzyk, Zhen Zhu:
Optimized Approximation Algorithm in Neural Networks Without Overfitting. IEEE Trans. Neural Networks 19(6): 983-995 (2008) - [c22]James T. Graham, Janusz A. Starzyk:
A hybrid self-organizing Neural Gas based network. IJCNN 2008: 3806-3813 - 2007
- [j17]Zhineng Zhu, Haibo He, Janusz A. Starzyk, C. Tseng:
Self-organizing learning array and its application to economic and financial problems. Inf. Sci. 177(5): 1180-1192 (2007) - [j16]Janusz A. Starzyk, Haibo He:
A Novel Low-Power Logic Circuit Design Scheme. IEEE Trans. Circuits Syst. II Express Briefs 54-II(2): 176-180 (2007) - [j15]Savas Kaya, Hesham F. A. Hamed, Janusz A. Starzyk:
Low-Power Tunable Analog Circuit Blocks Based on Nanoscale Double-Gate MOSFETs. IEEE Trans. Circuits Syst. II Express Briefs 54-II(7): 571-575 (2007) - [j14]Janusz A. Starzyk, Haibo He:
Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. IEEE Trans. Neural Networks 18(2): 344-358 (2007) - [c21]Yue Liu, Janusz A. Starzyk, Zhen Zhu:
Optimizing number of hidden neurons in neural networks. Artificial Intelligence and Applications 2007: 138-143 - [c20]Janusz A. Starzyk, Haibo He, Yue Li:
A Hierarchical Self-organizing Associative Memory for Machine Learning. ISNN (1) 2007: 413-423 - [c19]Haibo He, Janusz A. Starzyk:
Online Dynamic Value System for Machine Learning. ISNN (1) 2007: 441-448 - [c18]Janusz A. Starzyk, Yinyin Liu, David D. Vogel:
Sparse Coding in Sparse Winner Networks. ISNN (2) 2007: 534-541 - [c17]Janusz A. Starzyk, Mingwei Ding, Yinyin Liu:
Hybrid Pipeline Structure for Self-Organizing Learning Array. ISNN (2) 2007: 956-964 - 2006
- [j13]Janusz A. Starzyk, Yongtao Guo, Zhineng Zhu:
Dynamically reconfigurable neuron architecture for the implementation of self-organising learning array. Int. J. Embed. Syst. 2(1/2): 95-105 (2006) - [j12]Janusz A. Starzyk, Zhen Zhu, Yue Li:
Associative Learning in Hierarchical Self-Organizing Learning Arrays. IEEE Trans. Neural Networks 17(6): 1460-1470 (2006) - 2005
- [j11]Janusz A. Starzyk, Zhen Zhu, Tsun-Ho Liu:
Self-organizing learning array. IEEE Trans. Neural Networks 16(2): 355-363 (2005) - [c16]Janusz A. Starzyk, Mingwei Ding, Haibo He:
Optimized Interconnections in Probabilistic Self-Organizing Learning. Artificial Intelligence and Applications 2005: 479-484 - [c15]Janusz A. Starzyk, Yue Li, David D. Vogel:
Neural Network with Memory and Cognitive Functions. ICANN (1) 2005: 85-90 - [c14]Janusz A. Starzyk, Zhen Zhu, Yue Li:
Associative Learning in Hierarchical Self Organizing Learning Arrays. ICANN (1) 2005: 91-96 - 2004
- [j10]Janusz A. Starzyk, Russell P. Mohn, Liang Jing:
A cost-effective approach to the design and layout of a 14-b current-steering DAC macrocell. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(1): 196-200 (2004) - [j9]Janusz A. Starzyk, Dong Liu, Zhi-Hong Liu, Dale E. Nelson, Jerzy Rutkowski:
Entropy-based optimum test points selection for analog fault dictionary techniques. IEEE Trans. Instrum. Meas. 53(3): 754-761 (2004) - [j8]Janusz A. Starzyk, Feng Wang:
Dynamic probability estimator for machine learning. IEEE Trans. Neural Networks 15(2): 298-308 (2004) - [c13]Janusz A. Starzyk, Yongtao Guo, Zhineng Zhu:
Dynamically Reconfigurable Neuron Architecture for the Implementation of Self-Organizing Learning Array. IPDPS 2004 - 2003
- [j7]Dale E. Nelson, Janusz A. Starzyk, D. David Ensley:
Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition. Multidimens. Syst. Signal Process. 14(1-3): 9-24 (2003) - [j6]Dale E. Nelson, Janusz A. Starzyk, D. David Ensley:
Iterated wavelet transformation and signal discrimination for HRR radar target recognition. IEEE Trans. Syst. Man Cybern. Part A 33(1): 52-57 (2003) - [c12]Janusz A. Starzyk, Yongtao Guo:
Dynamically Self-Reconfigurable Machine Learning Structure for FPGA Implementation. Engineering of Reconfigurable Systems and Algorithms 2003: 296-299 - [c11]Abdulqadir Alaqeeli, Janusz A. Starzyk, Frank van Graas:
Real-time acquisition and tracking for GPS receivers. ISCAS (4) 2003: 500-503 - [c10]Janusz A. Starzyk, Tsun-Ho Liu:
Design of a Self-Organizing Learning Array system. ISCAS (5) 2003: 801-804 - [c9]Janusz A. Starzyk, Russell P. Mohn:
Cost-oriented design of a 14-bit current steering DAC macrocell. ISCAS (1) 2003: 965-968 - 2002
- [j5]Dong Liu, Janusz A. Starzyk:
A generalized fault diagnosis method in dynamic analogue circuits. Int. J. Circuit Theory Appl. 30(5): 487-510 (2002) - [c8]Janusz A. Starzyk, Dong Liu:
Locating stuck faults in analog circuits. ISCAS (3) 2002: 153-156 - [c7]Janusz A. Starzyk, Dong Liu:
A decomposition method for analog fault location. ISCAS (3) 2002: 157-160 - 2001
- [j4]Gerard N. Stenbakken, Dong Liu, Janusz A. Starzyk, Bryan C. Waltrip:
Nonrandom quantization errors in timebases. IEEE Trans. Instrum. Meas. 50(4): 888-892 (2001) - [c6]Janusz A. Starzyk, Dong Liu:
Multiple fault diagnosis of analog circuits by locating ambiguity groups of test equation. ISCAS (5) 2001: 199-202 - 2000
- [j3]Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz:
A Mathematical Foundation for Improved Reduct Generation in Information Systems. Knowl. Inf. Syst. 2(2): 131-146 (2000) - [c5]Ahmad Alsolaim, Jürgen Becker, Manfred Glesner, Janusz A. Starzyk:
A dynamically reconfigurable system-on-a-chip architecture for future mobile digital signal processing. EUSIPCO 2000: 1-4 - [c4]Ahmad Alsolaim, Janusz A. Starzyk, Jürgen Becker, Manfred Glesner:
Architecture and Application of a Dynamically Reconfigurable Hardware Array for Future Mobile Communication Systems. FCCM 2000: 205-216 - [c3]Janusz A. Starzyk, Jing Pang:
Fault diagnosis in analog and mixed mode low testability system. ISCAS 2000: 649-652 - [c2]Jürgen Becker, Manfred Glesner, Ahmad Alsolaim, Janusz A. Starzyk:
Fast Communication Mechanisms in Coarse-grained Dynamically Reconfigurable Array Architectures. PDPTA 2000
1990 – 1999
- 1994
- [j2]Janusz A. Starzyk:
Hierarchical analysis of high frequency interconnect networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13(5): 658-664 (1994) - [c1]Janusz A. Starzyk, Zhi-Hong Liu, Jun Zou:
An organization of the test bus for analog and mixed-signal systems. VTS 1994: 247-251 - 1992
- [j1]Janusz A. Starzyk, Hong Dai:
A decomposition approach for testing large analog networks. J. Electron. Test. 3(3): 181-195 (1992)
Coauthor Index
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