Radu Dogaru

According to our database, Radu Dogaru authored at least 45 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters.

Radu Dogaru, Ioana Dogaru

Proceedings of the 16th International Conference on Electronics, 2024

2022

The C-CNN model: Do we really need multiplicative synapses in convolutional neural networks?

Radu Dogaru, Adrian-Dumitru Mirica, Ioana Dogaru

Proceedings of the 14th International Conference on Communications, 2022

2021

LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy.

Radu Dogaru, Ioana Dogaru

CoRR, 2021

NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution.

Radu Dogaru, Ioana Dogaru

CoRR, 2021

A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems.

Radu Dogaru, Ioana Dogaru

Proceedings of the 23rd International Conference on Control Systems and Computer Science, 2021

2020

Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms.

Iulian-Ionut Felea, Radu Dogaru

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy.

Radu Dogaru, Ioana Dogaru

Proceedings of the 12th International Conference on Electronics, 2020

2017

Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments.

Mihai Bucurica, Ioana Dogaru, Radu Dogaru

Proceedings of the 21st International Conference on Control Systems and Computer Science, 2017

2016

Logo localization and recognition in natural images using homographic class graphs.

Raluca Boia, Corneliu Florea, Laura Florea, Radu Dogaru

Mach. Vis. Appl., 2016

A super fast vector support classifier using novelty detection and no synaptic tuning.

Radu Dogaru, Ioana Dogaru

Proceedings of the International Conference on Communications, 2016

An efficient local receptive field feature extractor for handwriting recognition.

Radu Dogaru, Ioana Dogaru

Proceedings of the International Conference on Communications, 2016

Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU.

Mihai Bucurica, Ioana Dogaru, Radu Dogaru

Proceedings of the 8th International Conference on Electronics, 2016

2015

A comparison of Extreme Learning Machine and Support Vector Machine classifiers.

Mihai Bucurica, Radu Dogaru, Ioana Dogaru

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

A comparison between Extreme Learning Machine and Fast Support Vector Classifier.

Mihai Bucurica, Radu Dogaru

Proceedings of the 2015 7th International Conference on Electronics, 2015

Shape object classification using echoes inside a virtual environment application.

Mihai Bucurica, Radu Dogaru

Proceedings of the 2015 7th International Conference on Electronics, 2015

Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle.

Ioana Dumitrache, Alina-Elena Sultana, Radu Dogaru

Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms.

Ioana Dogaru, Radu Dogaru

Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA.

Radu Dogaru, Ioana Dogaru

Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

2014

Automatic detection of skin melanoma from images using natural computing approaches.

Ioana Dumitrache, Alina-Elena Sultana, Radu Dogaru

Proceedings of the 10th International Conference on Communications, 2014

Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms.

George Valentin Stoica, Radu Dogaru, Cristina Elena Stoica

Proceedings of the 6th International Conference on Electronics, 2014

Fast support vector classifier applied to microarray data.

Camelia Moldovan, Radu Dogaru

Proceedings of the 6th International Conference on Electronics, 2014

2013

Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed Sensing and Cryptography.

Radu Dogaru, Ioana Dogaru

Proceedings of the Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering, 2013

Applications of Emergent Computation in Reaction-Diffusion CNNs for Image Processing.

Radu Dogaru

Proceedings of the 19th International Conference on Control Systems and Computer Science, 2013

2010

Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features.

Radu Dogaru, Ioana Dogaru, Hyongsuk Kim

IEEE Trans. Circuits Syst. Video Technol., 2010

2009

Binary Chaos Synchronization in Elementary Cellular Automata.

Radu Dogaru, Ioana Dogaru, Hyongsuk Kim

Int. J. Bifurc. Chaos, 2009

2008

Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing.

Radu Dogaru

Studies in Computational Intelligence 95, Springer, ISBN: 978-3-540-76800-5, 2008

A fast and compact classifier based on sorting in an iteratively expanded input space.

Radu Dogaru, Manfred Glesner

Int. J. Intell. Syst., 2008

Fast Selection of Cellular Automata Genes Based on Uncertainty Profiles of Cells.

Radu Dogaru, Shi Wang, Hyongsuk Kim

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

An area-efficient FPGA realisation of a codebook-based image compression method.

Peter Zipf, Heiko Hinkelmann, Hui Shao, Radu Dogaru, Manfred Glesner

Proceedings of the 2008 International Conference on Field-Programmable Technology, 2008

2005

A Hardware-in-the-Loop System to Evaluate the Performance of Small-World Cellular Automata.

Peter Zipf, Oliver Soffke, Andre Schumacher, Clemens Schlachta, Radu Dogaru, Manfred Glesner

Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

Programmable and Reconfigurable Hardware Architectures for the Rapid Prototyping of Cellular Automata.

Peter Zipf, Oliver Soffke, Andre Schumacher, Radu Dogaru, Manfred Glesner

Proceedings of the 2005 International Conference on Field Programmable Logic and Applications (FPL), 2005

2003

A Versatile Cellular Neural Circuit Based on a Multi-nested Approach: Functional Capabilities and Applications.

Radu Dogaru, Cristian Chitu, Manfred Glesner

Proceedings of the IFIP VLSI-SoC 2003, 2003

Exploiting piecewise linear features: multinested and simplicial cellular neural/nonlinear networks.

Pedro Julián, Radu Dogaru, Leon O. Chua

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Compact image compression using simplicial and ART neural systems with mixed signal implementations.

Radu Dogaru, Ioana Dogaru, Manfred Glesner

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002

The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications.

Radu Dogaru, Pedro Julián, Leon O. Chua, Manfred Glesner

IEEE Trans. Neural Networks, 2002

A Nonlinear Dynamics Perspective of Wolfram's New Kind of Science Part I: Threshold of Complexity.

Leon O. Chua, Sook Yoon, Radu Dogaru

Int. J. Bifurc. Chaos, 2002

A search algorithm for the design of multinested cellular neural networks.

Pedro Julián, Radu Dogaru, Martin Haenggi, Leon O. Chua

Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

2001

A piecewise-linear simplicial coupling cell for CNN gray-level image processing.

Pedro Julián, Radu Dogaru, Leon O. Chua

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

A robust and efficient universal CNN cell circuit using simplicial neuro-fuzzy inferences for fast image processing.

Radu Dogaru, Pedro Julián, Leon O. Chua

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

2000

Mutations of the "Game of Life": a generalized Cellular Automata Perspective of Complex Adaptive Systems.

Radu Dogaru, Leon O. Chua

Int. J. Bifurc. Chaos, 2000

1999

Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties.

Radu Dogaru, Marinel Alangiu, Matthias Rychetsky, Manfred Glesner

Proceedings of the International Joint Conference Neural Networks, 1999

1997

Do we really need multiplier-based synapses for neuro-fuzzy classifiers?

Radu Dogaru, A. T. Murgan, Leon O. Chua

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Searching for robust chaos in discrete time neural networks using weight space exploration.

Radu Dogaru, A. T. Murgan, Stefan Ortmann, Manfred Glesner

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings.

Radu Dogaru, A. T. Murgan, Cristina Comaniciu

Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

1995

Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks.

Radu Dogaru, A. T. Murgan

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995