Ioana Dogaru

According to our database, Ioana Dogaru authored at least 17 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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

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

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

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