Radu Dogaru

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 13

Top Topics

Convolutional Neural Networks

Top Venues

Publications

Radu Dogaru, Ioana Dogaru
VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters. ECAI (2024)
Radu Dogaru, Adrian-Dumitru Mirica, Ioana Dogaru
The C-CNN model: Do we really need multiplicative synapses in convolutional neural networks? COMM (2022)
Radu Dogaru, Ioana Dogaru
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. CoRR (2021)
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)
Radu Dogaru, Ioana Dogaru
NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. CoRR (2021)
Radu Dogaru, Ioana Dogaru
A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. CoRR (2021)
Iulian-Ionut Felea, Radu Dogaru
Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms. ESANN (2020)
Radu Dogaru, Ioana Dogaru
Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. ECAI (2020)
Mihai Bucurica, Ioana Dogaru, Radu Dogaru
Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments. CSCS (2017)
Radu Dogaru, Ioana Dogaru
A super fast vector support classifier using novelty detection and no synaptic tuning. COMM (2016)
Raluca Boia, Corneliu Florea, Laura Florea, Radu Dogaru
Logo localization and recognition in natural images using homographic class graphs. Mach. Vis. Appl. 27 (2) (2016)
Radu Dogaru, Ioana Dogaru
An efficient local receptive field feature extractor for handwriting recognition. COMM (2016)
Mihai Bucurica, Ioana Dogaru, Radu Dogaru
Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU. ECAI (2016)
Radu Dogaru, Ioana Dogaru
A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA. CSCS (2015)
Mihai Bucurica, Radu Dogaru
A comparison between Extreme Learning Machine and Fast Support Vector Classifier. ECAI (2015)
Mihai Bucurica, Radu Dogaru, Ioana Dogaru
A comparison of Extreme Learning Machine and Support Vector Machine classifiers. ICCP (2015)
Mihai Bucurica, Radu Dogaru
Shape object classification using echoes inside a virtual environment application. ECAI (2015)
Ioana Dogaru, Radu Dogaru
Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. CSCS (2015)
Ioana Dumitrache, Alina-Elena Sultana, Radu Dogaru
Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle. CSCS (2015)
George Valentin Stoica, Radu Dogaru, Cristina Elena Stoica
Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms. ECAI (2014)
Camelia Moldovan, Radu Dogaru
Fast support vector classifier applied to microarray data. ECAI (2014)
Ioana Dumitrache, Alina-Elena Sultana, Radu Dogaru
Automatic detection of skin melanoma from images using natural computing approaches. COMM (2014)
Radu Dogaru
Applications of Emergent Computation in Reaction-Diffusion CNNs for Image Processing. CSCS (2013)
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) (2010)
Radu Dogaru, Ioana Dogaru, Hyongsuk Kim
Binary Chaos Synchronization in Elementary Cellular Automata. Int. J. Bifurc. Chaos 19 (9) (2009)
Peter Zipf, Heiko Hinkelmann, Hui Shao, Radu Dogaru, Manfred Glesner
An area-efficient FPGA realisation of a codebook-based image compression method. FPT (2008)
Radu Dogaru, Shi Wang, Hyongsuk Kim
Fast Selection of Cellular Automata Genes Based on Uncertainty Profiles of Cells. GEM (2008)
Radu Dogaru, Manfred Glesner
A fast and compact classifier based on sorting in an iteratively expanded input space. Int. J. Intell. Syst. 23 (5) (2008)
Peter Zipf, Oliver Soffke, Andre Schumacher, Clemens Schlachta, Radu Dogaru, Manfred Glesner
A Hardware-in-the-Loop System to Evaluate the Performance of Small-World Cellular Automata. FPL (2005)
Peter Zipf, Oliver Soffke, Andre Schumacher, Radu Dogaru, Manfred Glesner
Programmable and Reconfigurable Hardware Architectures for the Rapid Prototyping of Cellular Automata. FPL (2005)
Radu Dogaru, Cristian Chitu, Manfred Glesner
A Versatile Cellular Neural Circuit Based on a Multi-nested Approach: Functional Capabilities and Applications. VLSI-SOC (2003)
Radu Dogaru, Ioana Dogaru, Manfred Glesner
Compact image compression using simplicial and ART neural systems with mixed signal implementations. ISCAS (5) (2003)
Pedro Julián, Radu Dogaru, Leon O. Chua
Exploiting piecewise linear features: multinested and simplicial cellular neural/nonlinear networks. ISCAS (3) (2003)
Pedro Julián, Radu Dogaru, Martin Haenggi, Leon O. Chua
A search algorithm for the design of multinested cellular neural networks. ISCAS (1) (2002)
Leon O. Chua, Sook Yoon, Radu Dogaru
A Nonlinear Dynamics Perspective of Wolfram's New Kind of Science Part I: Threshold of Complexity. Int. J. Bifurc. Chaos 12 (12) (2002)
Radu Dogaru, Pedro Julián, Leon O. Chua, Manfred Glesner
The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications. IEEE Trans. Neural Networks 13 (4) (2002)
Radu Dogaru, Pedro Julián, Leon O. Chua
A robust and efficient universal CNN cell circuit using simplicial neuro-fuzzy inferences for fast image processing. ISCAS (3) (2001)
Pedro Julián, Radu Dogaru, Leon O. Chua
A piecewise-linear simplicial coupling cell for CNN gray-level image processing. ISCAS (3) (2001)
Radu Dogaru, Leon O. Chua
Mutations of the "Game of Life": a generalized Cellular Automata Perspective of Complex Adaptive Systems. Int. J. Bifurc. Chaos 10 (8) (2000)
Radu Dogaru, Marinel Alangiu, Matthias Rychetsky, Manfred Glesner
Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties. IJCNN (1999)
Radu Dogaru, A. T. Murgan, Leon O. Chua
Do we really need multiplier-based synapses for neuro-fuzzy classifiers? ICNN (1997)
Radu Dogaru, A. T. Murgan, Cristina Comaniciu
Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings. ESANN (1996)
Radu Dogaru, A. T. Murgan, Stefan Ortmann, Manfred Glesner
Searching for robust chaos in discrete time neural networks using weight space exploration. ICNN (1996)
Radu Dogaru, A. T. Murgan
Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks. ICNN (1995)