Ioana Dogaru - RankMe

22 papers A 3B 2Journal 6Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An End-to-End Automated Pipeline for EEG Classification on TinyML Platforms: From Signal to On-Device Inference. IEEE Access Catalin Aurelian Popa, Ioana Dogaru, Radu Dogaru
2024	A	`conf`	VRES-CNN: A Tiny Convolutional Image Classifier with Versatile Choice of Hyperparameters. ECAI Radu Dogaru, Ioana Dogaru
2022	—	`conf`	The C-CNN model: Do we really need multiplicative synapses in convolutional neural networks? COMM Radu Dogaru, Adrian-Dumitru Mirica, Ioana Dogaru
2021	—	`conf`	A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. CSCS Radu Dogaru, Ioana Dogaru
2021	J	`jnl`	A Python Framework for Fast Modelling and Simulation of Cellular Nonlinear Networks and other Finite-difference Time-domain Systems. CoRR Radu Dogaru, Ioana Dogaru
2021	J	`jnl`	LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. CoRR Radu Dogaru, Ioana Dogaru
2021	J	`jnl`	NL-CNN: A Resources-Constrained Deep Learning Model based on Nonlinear Convolution. CoRR Radu Dogaru, Ioana Dogaru
2020	A	`conf`	Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy. ECAI Radu Dogaru, Ioana Dogaru
2017	—	`conf`	Novel Applications of Complexity Inspired RDT Transform for Low Complexity Embedded Speech Recognition in Automotive Environments. CSCS Mihai Bucurica, Ioana Dogaru, Radu Dogaru
2016	—	`conf`	A super fast vector support classifier using novelty detection and no synaptic tuning. COMM Radu Dogaru, Ioana Dogaru
2016	—	`conf`	An efficient local receptive field feature extractor for handwriting recognition. COMM Radu Dogaru, Ioana Dogaru
2016	A	`conf`	Improving computational efficiency for implementing a sound propagation simulation environment using Python and GPU. ECAI Mihai Bucurica, Ioana Dogaru, Radu Dogaru
2015	—	`conf`	A Low Cost High Performance Computing Platform for Cellular Nonlinear Networks Using Python for CUDA. CSCS Radu Dogaru, Ioana Dogaru
2015	B	`conf`	A comparison of Extreme Learning Machine and Support Vector Machine classifiers. ICCP Mihai Bucurica, Radu Dogaru, Ioana Dogaru
2015	—	`conf`	Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. CSCS Ioana Dogaru, Radu Dogaru
2014	—	`conf`	Efficient and cryptographically secure pseudorandom number generators based on chains of hybrid cellular automata maps. COMM Radu Dogaru, Ioana Dogaru
2014	—	`conf`	FPGA implementation and evaluation of two cryptographically secure hybrid cellular automata. COMM Ioana Dogaru, Radu Dogaru
2013	—	`ch.`	Binary Synchronization of Complex Dynamics in Cellular Automata and its Applications in Compressed Sensing and Cryptography. Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering Radu Dogaru, Ioana Dogaru
2010	J	`jnl`	Chaotic Scan: A Low Complexity Video Transmission System for Efficiently Sending Relevant Image Features. IEEE Trans. Circuits Syst. Video Technol. Radu Dogaru, Ioana Dogaru, Hyongsuk Kim
2009	J	`jnl`	Binary Chaos Synchronization in Elementary Cellular Automata. Int. J. Bifurc. Chaos Radu Dogaru, Ioana Dogaru, Hyongsuk Kim
2004	B	`conf`	CPCA: a multiplierless neural PCA. IJCNN Radu Dogaru, Ioana Dogaru, Manfred Glesner
2003	—	`conf`	Compact image compression using simplicial and ART neural systems with mixed signal implementations. ISCAS (5) Radu Dogaru, Ioana Dogaru, Manfred Glesner