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2020 – today
- 2024
[j15]Nebojsa Bacanin
, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic:
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms 13(5): 335 (2024)- 2023
- [j14]Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean:
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms 12(3): 266 (2023) - [j13]Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean:
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors 23(24): 9878 (2023) - [c34]Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean:
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. IWANN (2) 2023: 467-478 - [c33]Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean:
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. IWANN (2) 2023: 479-490 - [c32]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation. SYNASC 2023: 266-273 - 2022
- [j12]Carlos Cano Domingo, Nuria Novas Castellano, Ruxandra Stoean, Manuel Fernandez Ros, José A. Gazquez Parra:
Schumann Resonance Modes and Ionosphere Parameters: An Annual Variability Comparison. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c31]Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. KES 2022: 1303-1311 - [c30]Catalin Stoean, Nebojsa Bacanin, Wieslaw Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru, Rodica Nagy:
Semantic segmentation of fetal heart components in second trimester echocardiography. KES 2022: 3085-3092 - [c29]Catalin Stoean, Nebojsa Bacanin, Ruxandra Stoean, Leonard Ionescu, Cristian Daniel Alecsa, Mircea Hotoleanu, Miguel A. Atencia Ruiz, Gonzalo Joya:
On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs. SYNASC 2022: 276-283 - 2021
- [c28]Catalin Stoean, Ruxandra Stoean, Mircea Hotoleanu, Dominic Iliescu, Ciprian Patru, Rodica Nagy:
An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks. ICSTCC 2021: 242-248 - [c27]Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel A. Atencia Ruiz, Gonzalo Joya:
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. IWANN (1) 2021: 3-14 - [c26]Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability. IWANN (2) 2021: 260-271 - [c25]Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, Gonzalo Joya:
A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. KES 2021: 2002-2011 - [c24]Ruxandra Stoean, Nebojsa Bacanin, Leonard Ionescu, Marinela Boicea, Alina-Maria Garau, Cristina-Camelia Ghitescu:
Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration. SYNASC 2021: 246-251 - 2020
- [j11]Ruxandra Stoean:
Analysis on the potential of an EA-surrogate modelling tandem for deep learning parametrization: an example for cancer classification from medical images. Neural Comput. Appl. 32(2): 313-322 (2020) - [j10]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [c23]Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein:
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA 2020: 281-293
2010 – 2019
- 2019
- [j9]Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu:
How much and where to use manual guidance in the computational detection of contours for histopathological images? Soft Comput. 23(11): 3707-3722 (2019) - [c22]Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya:
Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2. IWANN (2) 2019: 26-37 - [c21]Miguel A. Atencia Ruiz, Catalin Stoean, Ruxandra Stoean, Roberto Rodríguez-Labrada, Gonzalo Joya:
Dynamic Clustering of Time Series with Echo State Networks. IWANN (2) 2019: 73-83 - [c20]Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya:
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. IWANN (1) 2019: 871-882 - [i2]Ruxandra Stoean, Dominic Iliescu, Catalin Stoean:
Segmentation of points of interest during fetal cardiac assesment in the first trimester from color Doppler ultrasound. CoRR abs/1909.11903 (2019) - 2018
- [c19]Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido:
Bioinformatics and medicine in the era of deep learning. ESANN 2018 - [c18]Miguel A. Atencia Ruiz, Ruxandra Stoean:
Non-negative Matrix Factorization for Medical Imaging. ESANN 2018 - [c17]Ruxandra Stoean, Catalin Stoean, Adriana Samide:
Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? SYNASC 2018: 387-393 - [i1]Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido:
Bioinformatics and Medicine in the Era of Deep Learning. CoRR abs/1802.09791 (2018) - 2017
- [j8]Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina:
Interpreting Decision Support from Multiple Classifiers for Predicting Length of Stay in Patients with Colorectal Carcinoma - What can a Professional Get from the Opinions of Different Models? Neural Process. Lett. 46(3): 811-827 (2017) - [c16]Stefan Postavaru, Ruxandra Stoean, Catalin Stoean, Gonzalo Joya Caparrós:
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images. IWANN (2) 2017: 38-49 - [c15]Ruxandra Stoean, Catalin Stoean, Adrian Sandita:
Evolutionary Regressor Selection in ARIMA Model for Stock Price Time Series Forecasting. KES-IDT (2) 2017: 117-126 - 2016
- [c14]Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina, Corina Lavinia Gruia:
SVM-Based Cancer Grading from Histopathological Images Using Morphological and Topological Features of Glands and Nuclei. IIMSS 2016: 145-155 - 2015
- [c13]Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu:
Evolutionary Search for An Accurate Contour Segmentation in Histopathological Images. GECCO (Companion) 2015: 1491-1492 - [c12]Ruxandra Stoean, Catalin Stoean, Adrian Sandita, Daniela Ciobanu, Cristian Mesina:
Ensemble of Classifiers for Length of Stay Prediction in Colorectal Cancer. IWANN (1) 2015: 444-457 - [c11]Catalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Daniela Ciobanu, Corina Lavinia Gruia:
Investigation on Parameter Effect for Semi-automatic Contour Detection in Histopathological Image Processing. SYNASC 2015: 445-451 - 2014
- [b1]Catalin Stoean, Ruxandra Stoean:
Support Vector Machines and Evolutionary Algorithms for Classification - Single or Together? Intelligent Systems Reference Library 69, Springer 2014, ISBN 978-3-319-06940-1, pp. 1-112 - [j7]Catalin Stoean, Ruxandra Stoean:
Post-evolution of variable-length class prototypes to unlock decision making within support vector machines. Appl. Soft Comput. 25: 159-173 (2014) - [c10]Catalin Stoean, Ruxandra Stoean, Adrian Sandita:
Investigation of Alternative Evolutionary Prototype Generation in Medical Classification. SYNASC 2014: 537-543 - 2013
- [j6]Ruxandra Stoean, Catalin Stoean:
Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection. Expert Syst. Appl. 40(7): 2677-2686 (2013) - [c9]Catalin Stoean, Mike Preuss, Ruxandra Stoean:
EA-based parameter tuning of multimodal optimization performance by means of different surrogate models. GECCO (Companion) 2013: 1063-1070 - 2011
- [j5]Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea:
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artif. Intell. Medicine 51(1): 53-65 (2011) - [j4]Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea:
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. Comput. Biol. Medicine 41(4): 238-246 (2011) - [c8]Mike Preuss, Catalin Stoean, Ruxandra Stoean:
Niching foundations: basin identification on fixed-property generated landscapes. GECCO 2011: 837-844 - 2010
- [j3]Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu:
Multimodal Optimization by Means of a Topological Species Conservation Algorithm. IEEE Trans. Evol. Comput. 14(6): 842-864 (2010)
2000 – 2009
- 2009
- [j2]Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
Support vector machine learning with an evolutionary engine. J. Oper. Res. Soc. 60(8): 1116-1122 (2009) - [p2]Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (1) 2009: 83-114 - [p1]Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (3) 2009: 315-346 - 2008
- [j1]Ruxandra Gorunescu, Peter H. Millard, Dumitru Dumitrescu:
Evolutionary placement decisions of a multidisciplinary panel using genetic chromodynamics. J. Enterp. Inf. Manag. 21(1): 93-104 (2008) - [c7]Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu:
EA-Powered Basin Number Estimation by Means of Preservation and Exploration. PPSN 2008: 569-578 - [c6]Ruxandra Stoean, Catalin Stoean, D. Dumitrescu:
Investigating Landscape Topology for Subpopulation Differentiation in Genetic Chromodynamics. SYNASC 2008: 551-554 - 2007
- [c5]Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu:
Concerning the potential of evolutionary support vector machines. IEEE Congress on Evolutionary Computation 2007: 1436-1443 - [c4]Catalin Stoean, Mike Preuss, Ruxandra Stoean, Dumitru Dumitrescu:
Disburdening the species conservation evolutionary algorithm of arguing with radii. GECCO 2007: 1420-1427 - 2006
- [c3]Catalin Stoean, Mike Preuss, Dumitru Dumitrescu, Ruxandra Stoean:
Cooperative Evolution of Rules for Classification. SYNASC 2006: 317-322 - [c2]Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, Catalin Stoean:
Evolutionary Support Vector Regression Machines. SYNASC 2006: 330-335 - 2005
- [c1]Catalin Stoean, Mike Preuss, Ruxandra Gorunescu, Dumitru Dumitrescu:
Elitist generational genetic chromodynamics - a new radii-based evolutionary algorithm for multimodal optimization. Congress on Evolutionary Computation 2005: 1839-1846
Coauthor Index
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