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ORCIDLavinia-Eugenia Ferariu
Person information
- affiliation: "Gheorghe Asachi" Technical University of Iaşi, Iasi, Romania
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2020 – today
- 2025
[c36]Alina Patelli, Anikó Ekárt
, Maria Chli, Lavinia-Eugenia Ferariu, John Rego Hamilton, Mercy Kanyi, Richard Lee, Peter R. Lewis, Joanna Lumsden, Stephen Owen:
Sustainable Urban Mobility: Co-Designing a Responsible AI Recommender System. GoodIT 2025: 131-140- 2024
- [c35]Radu-Cosmin Hobinca, Lavinia-Eugenia Ferariu:
Colouring Grayscale Images Using Cycle-Generative-Adversarial Networks. ICSTCC 2024: 101-106 - [c34]Ana-Maria Prisacariu, Lavinia Ferariu:
Skin Cancer Diagnosis Using CNN with Attention Mechanisms Based on Grad-CAM. ICSTCC 2024: 107-112 - [c33]Iuliana Bejenar, Lavinia Ferariu, Carlos M. Pascal, Constantin Florin Caruntu:
FedBayes: An Aggregation Method for Federated Learning that uses Bayesian Regression. ICSTCC 2024: 564-569 - [c32]Marius Gavrilescu, Florin Leon, Lavinia-Eugenia Ferariu, Cristian Nicolae Butincu:
A Review of Evolutionary Optimization Methods for Information Visualization and Feature Space Exploration. INISTA 2024: 1-6 - 2023
- [j1]Adrian-Paul Botezatu, Lavinia Ferariu, Adrian Burlacu:
Enhancing Visual Feedback Control through Early Fusion Deep Learning. Entropy 25(10): 1378 (2023) - [c31]Iuliana Bejenar, Lavinia Ferariu, Carlos M. Pascal, Constantin Florin Caruntu:
FedAcc and FedAccSize: Aggregation Methods for Federated Learning Applications. MED 2023: 593-598 - 2022
- [c30]Lavinia Ferariu, Iosif-Alin Beti:
End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks. ICSTCC 2022: 277-282 - [c29]Adrian-Paul Botezatu, Lavinia Ferariu, Adrian Burlacu, Teodor-Andrei Sauciuc:
Visual Feedback Control using CNN Based Architecture with Input Data Fusion. ICSTCC 2022: 633-638 - [c28]Teodor-Andrei Sauciuc, Adrian Burlacu, Lavinia Ferariu, Adrian-Paul Botezatu:
SO3-CNN: Learning Rigid Displacement using Depth Images and Orthogonal Dual Tensors. IECON 2022: 1-6 - [c27]Adrian-Paul Botezatu, Lavinia Ferariu, Adrian Burlacu, Teodor-Andrei Sauciuc:
Early Fusion Based CNN Architecture for Visual Servoing Systems. MMAR 2022: 199-204 - 2021
- [c26]Corina Cimpanu, Lavinia Ferariu, Tiberius Dumitriu:
Feature Selection via Genetic Multiobjective Optimization with Fuzzy Rejection Mechanisms. ICCP 2021: 437-444 - [c25]Lavinia Ferariu, Emil-Daniel Neculau:
Fusing Convolutional Neural Networks with Segmentation for Brain Tumor Classification. ICSTCC 2021: 249-254 - [e1]Lavinia Ferariu, Mihaela-Hanako Matcovschi, Florina Ungureanu:
25th International Conference on System Theory, Control and Computing, ICSTCC 2021, Iasi, Romania, October 20-23, 2021. IEEE 2021, ISBN 978-1-6654-1496-8 [contents] - 2020
- [c24]Lavinia Ferariu, Teodor-Andrei Sauciuc:
Semantic Segmentation of Street Scenes Using a Hybridisation between 3D Features and CNNs. ETFA 2020: 1309-1312 - [c23]Lavinia Ferariu, Carla-Francesca Chile:
Fusing Faster R-CNN and Background Subtraction Based on the Mixture of Gaussians Model. ICSTCC 2020: 367-372 - [c22]Constantin Florin Caruntu, Carlos M. Pascal, Lavinia Ferariu, Ciprian-Romeo Comsa:
Trajectory optimization through connected cooperative control for multiple-vehicle flocking. MED 2020: 915-920
2010 – 2019
- 2019
- [c21]Constantin Florin Caruntu, Lavinia Ferariu, Carlos M. Pascal, Nicolae Cleju, Ciprian-Romeo Comsa:
A Concept of Multiple-lane Vehicle Grouping by Swarm Intelligence. ETFA 2019: 1183-1188 - [c20]Lavinia Ferariu, Corina Cimpanu:
Genetic Multiobjective Optimisation with Elite Insertion for EEG Feature Selection. ICCP 2019: 405-410 - [c19]Constantin Florin Caruntu, Lavinia Ferariu, Carlos M. Pascal, Nicolae Cleju, Ciprian-Romeo Comsa:
Connected cooperative control for multiple-lane automated vehicle flocking on highway scenarios. ICSTCC 2019: 791-796 - 2018
- [c18]Lavinia Ferariu, Corina Cimpanu, Tiberius Dumitriu, Florina Ungureanu:
EEG Multi-Objective Feature Selection Using Temporal Extension. ICCP 2018: 105-110 - 2017
- [c17]Lavinia Ferariu:
Using self - Organising maps for Pareto - Ranking in genetic multiobjective optimisations. ICCP 2017: 141-146 - 2015
- [c16]Lavinia Ferariu, Corina Cimpanu:
Adaptive genetic Pareto ranking based on clustering. EAIS 2015: 1-7 - 2011
- [c15]Florin Catalin Braescu, Constantin Florin Caruntu, Lavinia Ferariu, Corneliu Lazar:
OSEK Based Embedded Networked Controller Handling Communication Delays. ECBS-EERC 2011: 71-77 - [c14]Alina Patelli, Lavinia Ferariu:
Regressor Survival Rate Estimation for Enhanced Crossover Configuration. ICANNGA (1) 2011: 290-299 - [c13]Lavinia Ferariu, Bogdan Burlacu:
Multiobjective genetic programming with adaptive clustering. ICCP 2011: 27-32 - [c12]Florin Catalin Braescu, Lavinia Ferariu, Andrei Nacu:
OSEK-based gateway algorithm for multi-domain CAN systems. ICCP 2011: 423-428 - [c11]Lavinia Ferariu, Bogdan Burlacu:
Multiobjective design of evolutionary hybrid neural networks. ICAC 2011: 195-200 - [c10]Alina Patelli, Lavinia Ferariu:
A regressive schema theory based tool for GP evolved nonlinear models. ICAC 2011: 201-206 - 2010
- [c9]Alina Patelli, Lavinia Ferariu:
Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c8]Alina Patelli, Lavinia Ferariu:
Increasing crossover operator efficiency in multiobjective nonlinear systems identification. IEEE Conf. of Intelligent Systems 2010: 426-431
2000 – 2009
- 2009
- [c7]Alina Patelli, Lavinia Ferariu:
Nonlinear system identification by means of genetic programming. ECC 2009: 502-507 - [c6]Lavinia Ferariu, Doru Panescu:
Pattern recognition for holonic manufacturing systems. ECC 2009: 1257-1262 - [c5]Lavinia Ferariu, Alina Patelli:
Multiobjective Genetic Programming for Nonlinear System Identification. ICANNGA 2009: 233-242 - [c4]Lavinia Ferariu, Doru Panescu:
Multiobjective selection of features for pattern recognition. ROSE 2009: 139-144 - [c3]Lavinia Ferariu, Alina Patelli:
Migration-based multiobjective genetic programming for nonlinear system identification. SACI 2009: 475-480 - 2003
- [c2]Lavinia Ferariu:
Nonlinear system identification based on evolutionary dynamic neural networks with complex weights. ECC 2003: 2559-2564
1990 – 1999
- 1999
- [c1]Teodor Marcu, Lavinia Ferariu, Paul M. Frank:
Genetic evolving of dynamic neural networks with application to process fault diagnosis. ECC 1999: 4226-4231
Coauthor Index
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