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Journal Articles
- 2010
[j2]Radu Dogaru, Ioana Dogaru, Hyongsuk Kim
:
Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features. IEEE Trans. Circuits Syst. Video Technol. 20(2): 317-321 (2010)- 2009
- [j1]Radu Dogaru, Ioana Dogaru, Hyongsuk Kim:
Binary Chaos Synchronization in Elementary Cellular Automata. Int. J. Bifurc. Chaos 19(9): 2871-2884 (2009)
Conference and Workshop Papers
- 2024
- [c12]Radu Dogaru, Ioana Dogaru:
VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters. ECAI 2024: 1-6 - 2022
- [c11]Radu Dogaru, Adrian-Dumitru Mirica, Ioana Dogaru:
The C-CNN model: Do we really need multiplicative synapses in convolutional neural networks? COMM 2022: 1-4 - 2021
- [c10]Radu Dogaru, Ioana Dogaru:
A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. CSCS 2021: 221-226 - 2020
- [c9]Radu Dogaru, Ioana Dogaru:
Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. ECAI 2020: 1-4 - 2017
- [c8]Mihai Bucurica, Ioana Dogaru, Radu Dogaru:
Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments. CSCS 2017: 375-378 - 2016
- [c7]Mihai Bucurica, Ioana Dogaru, Radu Dogaru:
Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU. ECAI 2016: 1-4 - [c6]Radu Dogaru, Ioana Dogaru:
An efficient local receptive field feature extractor for handwriting recognition. COMM 2016: 105-108 - [c5]Radu Dogaru, Ioana Dogaru:
A super fast vector support classifier using novelty detection and no synaptic tuning. COMM 2016: 373-376 - 2015
- [c4]Radu Dogaru, Ioana Dogaru:
A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA. CSCS 2015: 593-598 - [c3]Ioana Dogaru, Radu Dogaru:
Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. CSCS 2015: 599-604 - [c2]Mihai Bucurica, Radu Dogaru, Ioana Dogaru:
A comparison of Extreme Learning Machine and Support Vector Machine classifiers. ICCP 2015: 471-474 - 2003
- [c1]Radu Dogaru, Ioana Dogaru, Manfred Glesner:
Compact image compression using simplicial and ART neural systems with mixed signal implementations. ISCAS (5) 2003: 689-692
Parts in Books or Collections
- 2013
- [p1]Radu Dogaru, Ioana Dogaru:
Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed Sensing and Cryptography. Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering 2013: 81-95
Informal and Other Publications
- 2021
- [i3]Radu Dogaru, Ioana Dogaru:
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. CoRR abs/2102.00227 (2021) - [i2]Radu Dogaru, Ioana Dogaru:
A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. CoRR abs/2102.10340 (2021) - [i1]Radu Dogaru, Ioana Dogaru:
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. CoRR abs/2106.15350 (2021)
Coauthor Index
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