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Publication search results
found 59 matches
- 2024
- 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) - Nebojsa Bacanin, Catalin Stoean, Dusan Markovic, Miodrag Zivkovic, Tarik A. Rashid, Amit Chhabra, Marko Sarac:
Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets. Multim. Tools Appl. 83(31): 76035-76075 (2024) - 2023
- Daniel Lichtblau, Catalin Stoean:
Chaos game representation for authorship attribution. Artif. Intell. 317: 103858 (2023) - 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) - 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) - 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 - 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 - Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin:
Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. SYNASC 2023: 287-292 - 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
- Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic:
Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors 22(11): 4204 (2022) - Miodrag Zivkovic, Catalin Stoean, Amit Chhabra, Nebojsa Budimirovic, Aleksandar Petrovic, Nebojsa Bacanin:
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection. Sensors 22(5): 1711 (2022) - Wieslaw Paja, Krzysztof Pancerz, Catalin Stoean:
COVID-19 antibody level analysis with feature selection approach. KES 2022: 4268-4275 - 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 - 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 - Ioan-Bogdan Iordache, Ana Sabina Uban, Catalin Stoean, Liviu P. Dinu:
Investigating the Relationship Between Romanian Financial News and Closing Prices from the Bucharest Stock Exchange. LREC 2022: 5130-5136 - 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
- 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 - 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 - 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 - 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 - Catalin Stoean, Daniel Lichtblau:
Sentiment Analysis from Stock Market News in Romanian using Chaos Game Representation. SYNASC 2021: 252-258 - Miodrag Zivkovic, Catalin Stoean, Aleksandar Petrovic, Nebojsa Bacanin, Ivana Strumberger, Tamara Zivkovic:
A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm. SYNASC 2021: 259-266 - 2020
- 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) - 2019
- 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) - 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 - 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 - 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 - 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
- Daniel Lichtblau, Catalin Stoean:
Text Documents Encoding Through Images for Authorship Attribution. SLSP 2018: 178-189 - Ruxandra Stoean, Catalin Stoean, Adriana Samide:
Deep Learning for Metal Corrosion Control: Can Convolutional Neural Networks Measure Inhibitor Efficiency? SYNASC 2018: 387-393
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