Genetic evolving of dynamic neural networks with application to process fault diagnosis. - Teodor Marcu; Lavinia Ferariu; Paul M. Frank (ECC, 1999)

Nonlinear system identification based on evolutionary dynamic neural networks with complex weights. - Lavinia Ferariu (ECC, 2003)

Pattern recognition for holonic manufacturing systems. - Lavinia Ferariu; Doru Panescu (ECC, 2009)

Nonlinear system identification by means of genetic programming. - Alina Patelli; Lavinia Ferariu (ECC, 2009)

Multiobjective Genetic Programming for Nonlinear System Identification. - Lavinia Ferariu; Alina Patelli (ICANNGA, 2009)

Multiobjective selection of features for pattern recognition. - Lavinia Ferariu; Doru Panescu (ROSE, 2009)

Migration-based multiobjective genetic programming for nonlinear system identification. - Lavinia Ferariu; Alina Patelli (SACI, 2009)

Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation. - Alina Patelli; Lavinia Ferariu (IEEE Congress on Evolutionary Computation, 2010)

Increasing crossover operator efficiency in multiobjective nonlinear systems identification. - Alina Patelli; Lavinia Ferariu (IEEE Conf. of Intelligent Systems, 2010)

OSEK Based Embedded Networked Controller Handling Communication Delays. - Florin Catalin Braescu; Constantin Florin Caruntu; Lavinia Ferariu; Corneliu Lazar (ECBS-EERC, 2011)

Regressor Survival Rate Estimation for Enhanced Crossover Configuration. - Alina Patelli; Lavinia Ferariu (ICANNGA (1), 2011)

OSEK-based gateway algorithm for multi-domain CAN systems. - Florin Catalin Braescu; Lavinia Ferariu; Andrei Nacu (ICCP, 2011)

Multiobjective genetic programming with adaptive clustering. - Lavinia Ferariu; Bogdan Burlacu (ICCP, 2011)

Multiobjective design of evolutionary hybrid neural networks. - Lavinia Ferariu; Bogdan Burlacu (ICAC, 2011)

A regressive schema theory based tool for GP evolved nonlinear models. - Alina Patelli; Lavinia Ferariu (ICAC, 2011)

Adaptive genetic Pareto ranking based on clustering. - Lavinia Ferariu; Corina Cimpanu (EAIS, 2015)

Using self - Organising maps for Pareto - Ranking in genetic multiobjective optimisations. - Lavinia Ferariu (ICCP, 2017)

EEG Multi-Objective Feature Selection Using Temporal Extension. - Lavinia Ferariu; Corina Cimpanu; Tiberius Dumitriu; Florina Ungureanu (ICCP, 2018)

A Concept of Multiple-lane Vehicle Grouping by Swarm Intelligence. - Constantin Florin Caruntu; Lavinia Ferariu; Carlos M. Pascal; Nicolae Cleju; Ciprian-Romeo Comsa (ETFA, 2019)

Genetic Multiobjective Optimisation with Elite Insertion for EEG Feature Selection. - Lavinia Ferariu; Corina Cimpanu (ICCP, 2019)

Connected cooperative control for multiple-lane automated vehicle flocking on highway scenarios. - Constantin Florin Caruntu; Lavinia Ferariu; Carlos M. Pascal; Nicolae Cleju; Ciprian-Romeo Comsa (ICSTCC, 2019)

Semantic Segmentation of Street Scenes Using a Hybridisation between 3D Features and CNNs. - Lavinia Ferariu; Teodor-Andrei Sauciuc (ETFA, 2020)

Fusing Faster R-CNN and Background Subtraction Based on the Mixture of Gaussians Model. - Lavinia Ferariu; Carla-Francesca Chile (ICSTCC, 2020)

Trajectory optimization through connected cooperative control for multiple-vehicle flocking. - Constantin Florin Caruntu; Carlos M. Pascal; Lavinia Ferariu; Ciprian-Romeo Comsa (MED, 2020)

Feature Selection via Genetic Multiobjective Optimization with Fuzzy Rejection Mechanisms. - Corina Cimpanu; Lavinia Ferariu; Tiberius Dumitriu (ICCP, 2021)

Fusing Convolutional Neural Networks with Segmentation for Brain Tumor Classification. - Lavinia Ferariu; Emil-Daniel Neculau (ICSTCC, 2021)

Visual Feedback Control using CNN Based Architecture with Input Data Fusion. - Adrian-Paul Botezatu; Lavinia Ferariu; Adrian Burlacu; Teodor-Andrei Sauciuc (ICSTCC, 2022)

End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks. - Lavinia Ferariu; Iosif-Alin Beti (ICSTCC, 2022)

SO3-CNN: Learning Rigid Displacement using Depth Images and Orthogonal Dual Tensors. - Teodor-Andrei Sauciuc; Adrian Burlacu; Lavinia Ferariu; Adrian-Paul Botezatu (IECON, 2022)

Early Fusion Based CNN Architecture for Visual Servoing Systems. - Adrian-Paul Botezatu; Lavinia Ferariu; Adrian Burlacu; Teodor-Andrei Sauciuc (MMAR, 2022)

FedAcc and FedAccSize: Aggregation Methods for Federated Learning Applications. - Iuliana Bejenar; Lavinia Ferariu; Carlos M. Pascal; Constantin Florin Caruntu (MED, 2023)

Enhancing Visual Feedback Control through Early Fusion Deep Learning. - Adrian-Paul Botezatu; Lavinia Ferariu; Adrian Burlacu (Entropy, 2023)

FedBayes: An Aggregation Method for Federated Learning that uses Bayesian Regression. - Iuliana Bejenar; Lavinia Ferariu; Carlos M. Pascal; Constantin Florin Caruntu (ICSTCC, 2024)

Skin Cancer Diagnosis Using CNN with Attention Mechanisms Based on Grad-CAM. - Ana-Maria Prisacariu; Lavinia Ferariu (ICSTCC, 2024)