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Cengiz Günay
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2020 – today
- 2023
- [c9]Anca Doloc-Mihu
, Cengiz Günay
Hands-on Workshops Improve Learning of Software Engineering Skills. SIGITE 2023: 48-53 - [c8]Cengiz Günay
Immersive gamification for education: No additional benefit gained from wearing a VR headset. SIGITE 2023: 136-141 - 2022
- [i1]Ying Guo, Cengiz Günay, Sairam Tangirala, David Kerven, Wei Jin, Jamye Curry Savage, Seungjin Lee:
Identifying Critical LMS Features for Predicting At-risk Students. CoRR abs/2204.13700 (2022) - 2021
- [c7]Cengiz Günay
An Open Educational Resource for an Agile Software Engineering Course. SIGITE 2021: 51-52 - 2020
- [c6]Cengiz Günay
Improving Critical Thinking in Software Development via Interdisciplinary Projects at a Most Diverse College. SIGITE 2020: 206-212
2010 – 2019
- 2019
- [c5]Cengiz Günay, Anca Doloc-Mihu, Thomas Gluick, Catherine A. Moore:
Project-Based Learning Improves Critical Thinking for Software Development Students. SIGITE 2019: 105 - 2015
- [j6]Cengiz Günay
Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified Drosophila Motoneuron. PLoS Comput. Biol. 11(5) (2015) - 2014
- [c4]Hyo Yul Byun, James J. Lu, Helen S. Mayberg, Cengiz Günay:
Classification of Resting State fMRI Datasets Using Dynamic Network Clusters. AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014 - [r1]Cengiz Günay:
Neuronal Model Databases. Encyclopedia of Computational Neuroscience 2014 - 2011
- [b1]Joachim Diederich, Cengiz Günay
Recruitment Learning. Studies in Computational Intelligence 303, Springer 2011, ISBN 978-3-642-14027-3, pp. 3-281 [contents]
2000 – 2009
- 2009
- [j5]Cengiz Günay
Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA's Toolbox. Neuroinformatics 7(2): 93-111 (2009) - [c3]Cengiz Günay
Finding sensors for homeostasis of biological neuronal networks using artificial neural networks. IJCNN 2009: 1025-1032 - 2008
- [p1]Cengiz Günay
Computational Intelligence in Electrophysiology: Trends and Open Problems. Applications of Computational Intelligence in Biology 2008: 325-359 - 2006
- [j4]Cengiz Günay, Anthony S. Maida:
A stochastic population approach to the problem of stable recruitment hierarchies in spiking neural networks. Biol. Cybern. 94(1): 33-45 (2006) - [j3]Cengiz Günay, Anthony S. Maida:
Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines. Neurocomputing 69(4-6): 317-367 (2006) - 2004
- [j2]Istvan S. N. Berkeley, Cengiz Günay:
Conducting banding analysis with trained networks of sigmoid units. Connect. Sci. 16(2): 119-128 (2004) - 2003
- [j1]Cengiz Günay, Anthony S. Maida:
Temporal binding as an inducer for connectionist recruitment learning over delayed lines. Neural Networks 16(5-6): 593-600 (2003) - 2001
- [c2]Anthony S. Maida, Benjamin A. Rowland, Cengiz Günay:
Synchronized Firing in a Time-Delayed Neural Network. FLAIRS 2001: 485-488 - 2000
- [c1]Cengiz Günay:
Agent Architecture: Using Java Exeptions in a Nonstandard Way and an Object Oriented Approach to Evolution of Intelligence. IEA/AIE 2000: 717-722
Coauthor Index
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