Radu Dogaru - RankMe

51 papers A 7B 8C 1Journal 11Unranked 22

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
2025	B	`conf`	Lightweight and Interpretable CNNs for Multi-Label ECG Diagnosis on the Edge. ICCP Catalin Aurelian Popa, 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
2020	B	`conf`	Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained Platforms. ESANN Iulian-Ionut Felea, Radu 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
2016	J	`jnl`	Logo localization and recognition in natural images using homographic class graphs. Mach. Vis. Appl. Raluca Boia, Corneliu Florea, Laura Florea, 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	A	`conf`	A comparison between Extreme Learning Machine and Fast Support Vector Classifier. ECAI Mihai Bucurica, Radu Dogaru
2015	B	`conf`	A comparison of Extreme Learning Machine and Support Vector Machine classifiers. ICCP Mihai Bucurica, Radu Dogaru, Ioana Dogaru
2015	—	`conf`	Feature Extraction from the Contour of Skin Lesions Using Box Counting Principle. CSCS Ioana Dumitrache, Alina-Elena Sultana, Radu Dogaru
2015	A	`conf`	Shape object classification using echoes inside a virtual environment application. ECAI Mihai Bucurica, Radu Dogaru
2015	—	`conf`	Using Python and Julia for Efficient Implementation of Natural Computing and Complexity Related Algorithms. CSCS Ioana Dogaru, Radu Dogaru
2014	—	`conf`	Automatic detection of skin melanoma from images using natural computing approaches. COMM Ioana Dumitrache, Alina-Elena Sultana, 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
2014	A	`conf`	Fast support vector classifier applied to microarray data. ECAI Camelia Moldovan, Radu Dogaru
2014	A	`conf`	Speeding-up image processing in reaction-diffusion cellular neural networks using CUDA-enabled GPU platforms. ECAI George Valentin Stoica, Radu Dogaru, Cristina Elena Stoica
2013	—	`conf`	Applications of Emergent Computation in Reaction-Diffusion CNNs for Image Processing. CSCS 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
2008	J	`jnl`	A fast and compact classifier based on sorting in an iteratively expanded input space. Int. J. Intell. Syst. Radu Dogaru, Manfred Glesner
2008	—	`conf`	An area-efficient FPGA realisation of a codebook-based image compression method. FPT Peter Zipf, Heiko Hinkelmann, Hui Shao, Radu Dogaru, Manfred Glesner
2008	—	`conf`	Fast Selection of Cellular Automata Genes Based on Uncertainty Profiles of Cells. GEM Radu Dogaru, Shi Wang, Hyongsuk Kim
2008	—	`book`	Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing. Radu Dogaru
2005	B	`conf`	A Hardware-in-the-Loop System to Evaluate the Performance of Small-World Cellular Automata. FPL Peter Zipf, Oliver Soffke, Andre Schumacher, Clemens Schlachta, Radu Dogaru, Manfred Glesner
2005	B	`conf`	Programmable and Reconfigurable Hardware Architectures for the Rapid Prototyping of Cellular Automata. FPL Peter Zipf, Oliver Soffke, Andre Schumacher, Radu Dogaru, Manfred Glesner
2004	B	`conf`	CPCA: a multiplierless neural PCA. IJCNN Radu Dogaru, Ioana Dogaru, Manfred Glesner
2003	C	`conf`	A Versatile Cellular Neural Circuit Based on a Multi-nested Approach: Functional Capabilities and Applications. VLSI-SOC Radu Dogaru, Cristian Chitu, 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
2003	—	`conf`	Exploiting piecewise linear features: multinested and simplicial cellular neural/nonlinear networks. ISCAS (3) Pedro Julián, Radu Dogaru, Leon O. Chua
2002	J	`jnl`	A Nonlinear Dynamics Perspective of Wolfram's New Kind of Science Part I: Threshold of Complexity. Int. J. Bifurc. Chaos Leon O. Chua, Sook Yoon, Radu Dogaru
2002	—	`conf`	A search algorithm for the design of multinested cellular neural networks. ISCAS (1) Pedro Julián, Radu Dogaru, Martin Haenggi, Leon O. Chua
2002	J	`jnl`	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 Radu Dogaru, Pedro Julián, Leon O. Chua, Manfred Glesner
2001	—	`conf`	A piecewise-linear simplicial coupling cell for CNN gray-level image processing. ISCAS (3) Pedro Julián, Radu Dogaru, Leon O. Chua
2001	—	`conf`	A robust and efficient universal CNN cell circuit using simplicial neuro-fuzzy inferences for fast image processing. ISCAS (3) Radu Dogaru, Pedro Julián, Leon O. Chua
2000	J	`jnl`	Mutations of the "Game of Life": a generalized Cellular Automata Perspective of Complex Adaptive Systems. Int. J. Bifurc. Chaos Radu Dogaru, Leon O. Chua
1999	B	`conf`	Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties. IJCNN Radu Dogaru, Marinel Alangiu, Matthias Rychetsky, Manfred Glesner
1997	—	`conf`	Do we really need multiplier-based synapses for neuro-fuzzy classifiers? ICNN Radu Dogaru, A. T. Murgan, Leon O. Chua
1996	B	`conf`	Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings. ESANN Radu Dogaru, A. T. Murgan, Cristina Comaniciu
1996	—	`conf`	Searching for robust chaos in discrete time neural networks using weight space exploration. ICNN Radu Dogaru, A. T. Murgan, Stefan Ortmann, Manfred Glesner
1995	—	`conf`	Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks. ICNN Radu Dogaru, A. T. Murgan