Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks. - Radu Dogaru; A. T. Murgan (ICNN, 1995)

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 (ESANN, 1996)

Searching for robust chaos in discrete time neural networks using weight space exploration. - Radu Dogaru; A. T. Murgan; Stefan Ortmann; Manfred Glesner (ICNN, 1996)

Do we really need multiplier-based synapses for neuro-fuzzy classifiers? - Radu Dogaru; A. T. Murgan; Leon O. Chua (ICNN, 1997)

Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties. - Radu Dogaru; Marinel Alangiu; Matthias Rychetsky; Manfred Glesner (IJCNN, 1999)

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)

A robust and efficient universal CNN cell circuit using simplicial neuro-fuzzy inferences for fast image processing. - Radu Dogaru; Pedro Julián; Leon O. Chua (ISCAS (3), 2001)

A piecewise-linear simplicial coupling cell for CNN gray-level image processing. - Pedro Julián; Radu Dogaru; Leon O. Chua (ISCAS (3), 2001)

A search algorithm for the design of multinested cellular neural networks. - Pedro Julián; Radu Dogaru; Martin Haenggi; Leon O. Chua (ISCAS (1), 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)

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)

Compact image compression using simplicial and ART neural systems with mixed signal implementations. - Radu Dogaru; Ioana Dogaru; Manfred Glesner (ISCAS (5), 2003)

Exploiting piecewise linear features: multinested and simplicial cellular neural/nonlinear networks. - Pedro Julián; Radu Dogaru; Leon O. Chua (ISCAS (3), 2003)

A Versatile Cellular Neural Circuit Based on a Multi-nested Approach: Functional Capabilities and Applications. - Radu Dogaru; Cristian Chitu; Manfred Glesner (VLSI-SOC, 2003)

CPCA: a multiplierless neural PCA. - Radu Dogaru; Ioana Dogaru; Manfred Glesner (IJCNN, 2004)

Programmable and Reconfigurable Hardware Architectures for the Rapid Prototyping of Cellular Automata. - Peter Zipf; Oliver Soffke; Andre Schumacher; Radu Dogaru; Manfred Glesner (FPL, 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 (FPL, 2005)

An area-efficient FPGA realisation of a codebook-based image compression method. - Peter Zipf; Heiko Hinkelmann; Hui Shao; Radu Dogaru; Manfred Glesner (FPT, 2008)

Fast Selection of Cellular Automata Genes Based on Uncertainty Profiles of Cells. - Radu Dogaru; Shi Wang; Hyongsuk Kim (GEM, 2008)

A fast and compact classifier based on sorting in an iteratively expanded input space. - Radu Dogaru; Manfred Glesner (Int. J. Intell. Syst., 2008)

Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing. - Radu Dogaru (Springer, 2008)

Binary Chaos Synchronization in Elementary Cellular Automata. - Radu Dogaru; Ioana Dogaru; Hyongsuk Kim (Int. J. Bifurc. Chaos, 2009)

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)

Applications of Emergent Computation in Reaction-Diffusion CNNs for Image Processing. - Radu Dogaru (CSCS, 2013)

Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed Sensing and Cryptography. - Radu Dogaru; Ioana Dogaru (Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering, 2013)

Fast support vector classifier applied to microarray data. - Camelia Moldovan; Radu Dogaru (ECAI, 2014)

Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms. - George Valentin Stoica; Radu Dogaru; Cristina Elena Stoica (ECAI, 2014)

Automatic detection of skin melanoma from images using natural computing approaches. - Ioana Dumitrache; Alina-Elena Sultana; Radu Dogaru (COMM, 2014)

A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA. - Radu Dogaru; Ioana Dogaru (CSCS, 2015)

Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. - Ioana Dogaru; Radu Dogaru (CSCS, 2015)

Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle. - Ioana Dumitrache; Alina-Elena Sultana; Radu Dogaru (CSCS, 2015)

Shape object classification using echoes inside a virtual environment application. - Mihai Bucurica; Radu Dogaru (ECAI, 2015)

A comparison between Extreme Learning Machine and Fast Support Vector Classifier. - Mihai Bucurica; Radu Dogaru (ECAI, 2015)

A comparison of Extreme Learning Machine and Support Vector Machine classifiers. - Mihai Bucurica; Radu Dogaru; Ioana Dogaru (ICCP, 2015)

Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU. - Mihai Bucurica; Ioana Dogaru; Radu Dogaru (ECAI, 2016)

An efficient local receptive field feature extractor for handwriting recognition. - Radu Dogaru; Ioana Dogaru (COMM, 2016)

A super fast vector support classifier using novelty detection and no synaptic tuning. - Radu Dogaru; Ioana Dogaru (COMM, 2016)

Logo localization and recognition in natural images using homographic class graphs. - Raluca Boia; Corneliu Florea; Laura Florea; Radu Dogaru (Mach. Vis. Appl., 2016)

Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments. - Mihai Bucurica; Ioana Dogaru; Radu Dogaru (CSCS, 2017)

Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. - Radu Dogaru; Ioana Dogaru (ECAI, 2020)

Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms. - Iulian-Ionut Felea; Radu Dogaru (ESANN, 2020)

A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. - Radu Dogaru; Ioana Dogaru (CSCS, 2021)

NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. - Radu Dogaru; Ioana Dogaru (CoRR, 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)

The C-CNN model: Do we really need multiplicative synapses in convolutional neural networks? - Radu Dogaru; Adrian-Dumitru Mirica; Ioana Dogaru (COMM, 2022)

VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters. - Radu Dogaru; Ioana Dogaru (ECAI, 2024)