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C. Stoean · SciRah

Researcher profile · Semantic Scholar

C. Stoean

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C. Stoean — researcher profile on SciRah

h-index: 23
Works: 138
Citations: 1,722

Most-cited papers

On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Nebojša Bačanin, C. Stoean, M. Živković, Miomir Rakić +2 more
2023Energies108 citations Open access
Semantic Scholar
Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection
R. Stoean, C. Stoean
2013Expert systems with applications99 citations
Semantic Scholar
Multimodal Optimization by Means of a Topological Species Conservation Algorithm
C. Stoean, M. Preuss, R. Stoean, D. Dumitrescu
2010IEEE Transactions on Evolutionary Computation99 citations
Semantic Scholar
Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering
Timea Bezdan, C. Stoean, A. A. Naamany, Nebojša Bačanin +3 more
2021Mathematics86 citations Open access
Semantic Scholar
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation
C. Stoean, M. Živković, Aleksandra Bozovic, Nebojša Bačanin +3 more
2023Axioms79 citations Open access
Semantic Scholar
Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations
C. Stoean, Wieslaw Paja, R. Stoean, Adrian Sandita
2019PLoS ONE63 citations Open access
Semantic Scholar
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
M. Živković, C. Stoean, A. Chhabra, Nebojša Budimirović +2 more
2022Italian National Conference on Sensors57 citations Open access
Semantic Scholar
Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering
Nebojša Bačanin, M. Živković, C. Stoean, Milos Antonijevic +3 more
2022Mathematics54 citations Open access
Semantic Scholar
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C
R. Stoean, C. Stoean, M. Lupşor, H. Stefanescu +1 more
2011Artif. Intell. Medicine54 citations
Semantic Scholar
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Nebojša Bačanin, C. Stoean, M. Živković, Dijana Jovanovic +2 more
2022Italian National Conference on Sensors48 citations Open access
Semantic Scholar
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data
Ana Minic, Luka Jovanovic, Nebojša Bačanin, C. Stoean +5 more
2023Italian National Conference on Sensors46 citations Open access
Semantic Scholar
A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm
M. Živković, C. Stoean, A. Petrović, Nebojša Bačanin +2 more
2021Symposium on Symbolic and Numeric Algorithms for Scientific Computing37 citations
Semantic Scholar
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis
C. Stoean, R. Stoean, M. Lupşor, H. Stefanescu +1 more
2011Comput. Biol. Medicine37 citations
Semantic Scholar
Cancer diagnosis through a tandem of classifiers for digitized histopathological slides
Daniel Lichtblau, C. Stoean
2019PLoS ONE36 citations Open access
Semantic Scholar
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
C. Stoean, R. Stoean, M. Atencia, M. Abdar +5 more
2020Italian National Conference on Sensors34 citations Open access
Semantic Scholar
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
Nebojša Bačanin, C. Stoean, Dušan Marković, M. Živković +3 more
2024Multimedia tools and applications33 citations
Semantic Scholar
Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display
R. Stoean, Nebojša Bačanin, C. Stoean, L. Ionescu
2024Journal of Cultural Heritage33 citations Open access
Semantic Scholar
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics
Nebojša Bačanin, Luka Jovanovic, R. Stoean, C. Stoean +3 more
2024Axioms29 citations Open access
Semantic Scholar
Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together?
C. Stoean, R. Stoean
2014Intelligent Systems Reference Library29 citations
Semantic Scholar
Surface study of inhibitor films formed by polyvinyl alcohol and silver nanoparticles on stainless steel in hydrochloric acid solution using convolutional neural networks
A. Samide, C. Stoean, R. Stoean
2019Applications of Surface Science28 citations
Semantic Scholar
Digital Assessment of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment Analysis
Shachi Mittal, C. Stoean, A. Kajdacsy-Balla, R. Bhargava
2019Frontiers in Bioengineering and Biotechnology28 citations Open access
Semantic Scholar
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images
Stefan Postavaru, R. Stoean, C. Stoean, Gonzalo Joya Caparrós
2017International Work-Conference on Artificial and Natural Neural Networks25 citations
Semantic Scholar
Support vector machine learning with an evolutionary engine
R. Stoean, M. Preuss, C. Stoean, E. El-Darzi +1 more
2009Journal of the Operational Research Society23 citations
Semantic Scholar
Niching foundations: basin identification on fixed-property generated landscapes
M. Preuss, C. Stoean, R. Stoean
2011Annual Conference on Genetic and Evolutionary Computation22 citations
Semantic Scholar
Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks
A. Samide, R. Stoean, C. Stoean, B. Tutunaru +2 more
2019Coatings21 citations Open access
Semantic Scholar
Concerning the potential of evolutionary support vector machines
R. Stoean, M. Preuss, C. Stoean, D. Dumitrescu
2007IEEE Congress on Evolutionary Computation21 citations
Semantic Scholar
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound
R. Stoean, D. Iliescu, C. Stoean, Vlad-Costin Ilie +8 more
2021International Work-Conference on Artificial and Natural Neural Networks19 citations
Semantic Scholar
Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer
R. Stoean, C. Stoean, Adrian Sandita, D. Ciobanu +1 more
2015International Work-Conference on Artificial and Natural Neural Networks19 citations
Semantic Scholar
Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration
C. Stoean, R. Stoean
200919 citations
Semantic Scholar
Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data
R. Stoean, C. Stoean, M. Atencia, Roberto Rodríguez-Labrada +1 more
202017 citations Open access
Semantic Scholar
SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei
C. Stoean, R. Stoean, Adrian Sandita, D. Ciobanu +2 more
2016International Conference on Intelligent Interactive Multimedia Systems and Services16 citations
Semantic Scholar
Overview of Evolutionary Algorithms
C. Stoean, R. Stoean
201414 citations
Semantic Scholar
In Search of the Optimal Set of Indicators when Classifying Histopathological Images
C. Stoean
2016Symposium on Symbolic and Numeric Algorithms for Scientific Computing13 citations
Semantic Scholar
IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning
Saravana Balaji B, Milos Antonijevic, C. Stoean, Nebojša Bačanin
202312 citations
Semantic Scholar
An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks
C. Stoean, R. Stoean, M. Hotoleanu, D. Iliescu +2 more
2021International Conference on System Theory, Control and Computing12 citations
Semantic Scholar
Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning
R. Stoean, Nebojša Bačanin, C. Stoean, L. Ionescu +2 more
2023Journal of Cultural Heritage11 citations Open access
Semantic Scholar
Author Identification Using Chaos Game Representation and Deep Learning
C. Stoean, Daniel Lichtblau
2020Mathematics10 citations Open access
Semantic Scholar
Post-evolution of variable-length class prototypes to unlock decision making within support vector machines
C. Stoean, R. Stoean
2014Applied Soft Computing10 citations
Semantic Scholar
Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images
C. Stoean, R. Stoean, Adrian Sandita, C. Meșină +2 more
2015Annual Conference on Genetic and Evolutionary Computation9 citations
Semantic Scholar
Chaos game representation for authorship attribution
Daniel Lichtblau, C. Stoean
2023Artificial Intelligence8 citations
Semantic Scholar
Semantic segmentation of fetal heart components in second trimester echocardiography
C. Stoean, Nebojša Bačanin, Wieslaw Paja, R. Stoean +3 more
2022International Conference on Knowledge-Based Intelligent Information & Engineering Systems8 citations Open access
Semantic Scholar
Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting
R. Stoean, C. Stoean, Adrian Sandita
2017KES International Conference on Intelligent Decision Technologies8 citations
Semantic Scholar
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy
R. Stoean, M. Preuss, C. Stoean, E. El-Darzi +1 more
2009IEEE Symposium on Foundations of Computational Intelligence7 citations
Semantic Scholar
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs
C. Stoean, Nebojša Bačanin, R. Stoean, L. Ionescu +4 more
2022Symposium on Symbolic and Numeric Algorithms for Scientific Computing6 citations Open access
Semantic Scholar
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration
R. Stoean, L. Ionescu, C. Stoean, Marinela Boicea +2 more
2021International Conference on Knowledge-Based Intelligent Information & Engineering Systems6 citations Open access
Semantic Scholar
A hybrid unsupervised—Deep learning tandem for electrooculography time series analysis
R. Stoean, C. Stoean, Roberto Becerra-García, Rodolfo García-Bermúdez +4 more
2020PLoS ONE6 citations Open access
Semantic Scholar
How much and where to use manual guidance in the computational detection of contours for histopathological images?
C. Stoean, R. Stoean, Adrian Sandita, C. Meșină +2 more
2018Soft Computing - A Fusion of Foundations, Methodologies and Applications6 citations
Semantic Scholar
Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing
C. Stoean, R. Stoean, Adrian Sandita, C. Meșină +2 more
2015Symposium on Symbolic and Numeric Algorithms for Scientific Computing6 citations
Semantic Scholar
EA-Powered Basin Number Estimation by Means of Preservation and Exploration
C. Stoean, M. Preuss, R. Stoean, D. Dumitrescu
2008Parallel Problem Solving from Nature6 citations
Semantic Scholar
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2
C. Stoean, R. Stoean, Roberto Becerra-García, Rodolfo García-Bermúdez +4 more
2019International Work-Conference on Artificial and Natural Neural Networks5 citations
Semantic Scholar

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