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

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

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)

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)

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)

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)

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)

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)