Publications

2026

• TF3-RO-50M: Training Compact Romanian Language Models from Scratch on Synthetic Moral Microfiction (2026) — large language models, natural language processing, synthetic data generation

2025

• Alexa and Copilot: A Tale of Two Assistants (2025) — machine learning, question answering, virtual assistants
• LLM Output Compliance with Handcrafted Linguistic Features: An Experiment (2025) — features, large language models, machine learning, prompt engineering
• Challenges in Software Metrics Adoption: Insights from Cluj-Napoca’s Development Community (2025) — data mining, metrics, software quality
• GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT (2025) — gui element detection, machine learning, object detection, web
• Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach (2025) — crack detection, evolutionary computing, vibration analysis
• Traffic Sign Orientation Estimation from Images Using Deep Learning (2025) — machine learning, traffic sign, transfer learning
• Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study (2025) — large language models, machine learning, natural language processing, prompt engineering
• Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025) — computer-assisted diagnosis, machine learning, magnetic resonance imaging, prostate cancer, radiomics
• Preprocessing Techniques for Optimizing Mammograms Segmentation: a Cellular Automaton Approach (2025) — breast cancer, computer-assisted diagnosis, evolutionary computing, machine learning, mammographic image
• Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms (2025) — breast cancer, computer-assisted diagnosis, data augmentation, machine learning, mammographic image, object detection
• Resolvi: A Reference Architecture for Extensible, Scalable and Interoperable Entity Resolution (2025) — data mining, entity resolution, software architectures
• Log-Loss Optimization for Boosting a Nash Equilibrium Decision Tree (2025) — machine learning, nash equilibrium, optimization
• ContRail: Realistic Railway Image Synthesis using ControlNet (2025) — image generation, machine learning, railway, semantic segmentation, synthetic data augmentation
• A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem (2025) — electric vehicle routing problem, evolutionary computing
• UOLO: A Multitask U-Net YOLO Hybrid Model for Railway Scene Understanding (2025) — machine learning, object detection, railway, semantic segmentation
• Hybrid Adaptive Greedy Algorithm Addressing the Multi-Robot Path Planning Problem (2025) — a* algorithm, evolutionary computing, path planning
• Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review (2025) — machine learning, magnetic resonance imaging, metrics, multiple sclerosis, texture analysis
• Small Open Models Achieve Near Parity with Large Models in Low Resource Literary Translation at a Fraction of the Cost (2025) — large language models, machine learning, machine translation, synthetic dataset
• TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models (2025) — evaluation metrics, large language models, machine learning, synthetic data generation
• Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models (2025) — bug prediction, machine learning, metrics
• Synthetic Data Generation Using Large Language Models: Advances in Text and Code (2025) — large language models, machine learning, natural language processing, retrieval-augmented generation, synthetic data generation
• Evaluating Deep Learning Models for Cross-Platform UI Component Detection: A Study Across Web, Desktop, and Mobile Interfaces (2025) — gui element detection, machine learning, mobile, object detection, web
• Network Optimization Problem Applicable for Breast Cancer Screening Cost Minimization (2025) — breast cancer, evolutionary computing, optimization
• Using Community Detection in Adolescent Media Multitasking Research. An Exploratory Study (2025) — behavioral profiling, complex networks
• On some univalence criteria for certain integral operators (2025) — integral operators, symbolic computation
• Building Large-Scale English-Romanian Literary Translation Resources with Open Models (2025) — large language models, machine translation, synthetic data generation

2024

• Using Chat GPT for Malicious Web Links Detection (2024) — features, large language models, machine learning, malicious urls
• Significance of Training Images and Feature Extraction in Lesion Classification (2024) — breast cancer, computer-assisted diagnosis, data mining, features, machine learning, mammographic image
• Quiz-Ifying Education: Exploring the Power of Virtual Assistants (2024) — education, machine learning, virtual assistants
• UICVD: A Computer Vision UI Dataset for Training RPA Agents (2024) — gui element detection, machine learning, synthetic data generation, web
• Using Ensemble Models for Malicious Web Links Detection (2024) — evolutionary computing, machine learning, malicious urls
• Towards an interpretable breast cancer detection and diagnosis system (2024) — breast cancer, computer-assisted diagnosis, features, interpretability, machine learning
• Teeth segmentation and carious lesions segmentation in panoramic X-ray images using CariSeg, a networks’ ensemble (2024) — computer-assisted diagnosis, dentistry, image segmentation, machine learning
• Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods (2024) — brain, image segmentation, machine learning, magnetic resonance imaging
• A game theoretic decision forest for feature selection and classification (2024) — features, game theory, machine learning, nash equilibrium
• A Nash equilibria decision tree for binary classification (2024) — game theory, machine learning, nash equilibrium
• The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images (2024) — data augmentation, gui element detection, machine learning, object detection
• Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps (2024) — chronic rhinosinusitis, computer-assisted diagnosis, machine learning
• Matching Apictorial Puzzle Pieces Using Deep Learning (2024) — image segmentation, machine learning, synthetic data generation
• Generating random complex networks with network motifs using evolutionary algorithm-based null model (2024) — complex networks, evolutionary computing, network motifs
• DeGraRec: 3D Deformable Object Reconstruction Using Graph Neural Networks and Depth Estimation (2024) — 3d reconstruction, graph convolutional networks, machine learning
• ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet (2024) — 3d reconstruction, graph convolutional networks, image segmentation, machine learning, railway
• Machine-Learning-Based Approaches for Multi-Level Sentiment Analysis of Romanian Reviews (2024) — machine learning, natural language processing, sentiment analysis
• Competitive Influence Maximization in Trust-Based Social Networks With Deep Q-Learning (2024) — competitive influence maximization, complex networks, reinforcement learning, social networks
• A Pseudo-Deterministic Noisy Extremal Optimization algorithm for the pairwise connectivity Critical Node Detection Problem (2024) — complex networks, critical node detection, optimization, synthetic dataset
• Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks (2024) — machine learning, magnetic resonance imaging
• Malicious Web Links Detection Based on Image Processing and Deep Learning Models (2024) — evolutionary computing, machine learning, malicious urls
• PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics (2024) — data mining, education, entity resolution, evaluation metrics
• The Impact of Augmentation Techniques on Icon Detection Using Machine Learning Techniques (2024) — data augmentation, gui element detection, machine learning, mobile, object detection

2023

• Comparison of Data Models for Unsupervised Twitter Sentiment Analysis (2023) — data mining, features, machine learning, sentiment analysis
• Malicious Web Links Detection – A Comparative Analysis of Machine Learning Algorithms (2023) — machine learning, malicious urls, social engineering
• Extended Mammogram Classification From Textural Features (2023) — breast cancer, computer-assisted diagnosis, evolutionary computing, features, mammographic image
• Examining the Social Behavior of Ant Colonies Using Complex Networks (2023) — complex networks, social networks
• MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023) — bladder cancer, data mining, machine learning, magnetic resonance imaging, radiomics, texture analysis
• Malicious Web Links Detection Using Ensemble Models (2023) — evolutionary computing, machine learning, malicious urls
• Efficient Academic Retrieval System Based on Aggregated Sources (2023) — data mining, features, recommendation systems, web
• Towards Good Practices for Collaborative Development of ML-Based Systems (2023) — machine learning, software engineering
• Facilitating Model Training With Automated Techniques (2023) — cloud, machine learning, software architectures
• Linear Discriminant Analysis Tumour Classification for Unsupervised Segmented Mammographies (2023) — breast cancer, computer-assisted diagnosis, data mining, features, mammographic image
• Towards an Improved Unsupervised Graph-Based MRI Brain Segmentation Method (2023) — brain, data mining, machine learning, medical imaging
• Breast Cancer Images Segmentation using Fuzzy Cellular Automaton (2023) — breast cancer, evolutionary computing, mammographic image
• Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation (2023) — breast cancer, data mining, image segmentation, machine learning, mammographic image
• Image Reconstruction Using Cellular Automata and Neural Networks (2023) — evolutionary computing, machine learning, metrics
• Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection (2023) — breast cancer, computer-assisted diagnosis, data mining, features, machine learning, mammographic image
• Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm (2023) — bladder cancer, data mining, image analysis, machine learning, magnetic resonance imaging
• A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images. (2023) — data mining, image analysis, machine learning, magnetic resonance imaging, prostate cancer
• A Game Theoretic Based K-Nearest Neighbor Approach for Binary Classification (2023) — game theory, machine learning, nash equilibrium
• Railway Switch Classification Using Deep Neural Networks (2023) — machine learning, railway
• Feature Selection Based on a Decision Tree Genetic Algorithm (2023) — evolutionary computing, explainability, machine learning
• An Evolutionary Approach to Feature Selection and Classification (2023) — features, machine learning, nash equilibrium
• Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm (2023) — complex networks, game theory, influence maximization, optimization
• Assessment of cracks in beams using changes in the measured frequencies and Particle Swarm Optimization (2023) — crack detection, evolutionary computing, health monitoring
• Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments (2023) — evolutionary computing, optimization, path planning
• Evaluating cooperative-competitive dynamics with deep Q-learning (2023) — cooperative-competitive environments, machine learning, reinforcement learning

2022

• More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis—A Systematic Review (2022) — computer-assisted diagnosis, data mining, magnetic resonance imaging, prostate cancer, radiomics, texture analysis
• A Hybrid Complexity Metric in Automatic Software Defects Prediction (2022) — automatic defect prediction, data mining, metrics, software architectures
• Recommendation System for Student Academic Progress (2022) — education, machine learning, recommendation systems
• The Twitter-Lex Sentiment Analysis System (2022) — data mining, features, natural language processing, sentiment analysis
• A Game Theoretic Flavoured Decision Tree for Classification (2022) — data mining, game theory, machine learning, nash equilibrium
• An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection (2022) — breast cancer, data mining, image segmentation, machine learning, mammographic image
• The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms (2022) — breast cancer, data mining, machine learning, mammographic image
• Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments (2022) — cooperative-competitive environments, data mining, machine learning, reinforcement learning, social dynamics
• A New Game Theoretic Based Random Forest for Binary Classification (2022) — machine learning, nash equilibrium
• A Game Theoretic Decision Tree for Binary Classification (2022) — evolutionary computing, game theory, nash equilibrium, optimization
• An Evaluation of Image Texture Descriptors and their Invariant Properties (2022) — data mining, features, texture analysis
• Pathways for statically mining the Model-View-Controller software architecture on mobile applications (2022) — data mining, mobile, software architectures
• On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? (2022) — data mining, machine learning, mobile, software architectures
• Comparing Automatic Approaches for Mvc Architecture Detection in Ios Codebases (2022) — machine learning, mobile, software architectures
• An efficient multi-robot path planning solution using A* and coevolutionary algorithms (2022) — a* algorithm, evolutionary computing, path planning
• Complex Network Analysis using Artificial Intelligence Algorithms (2022) — complex networks
• A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks (2022) — evolutionary computing, metrics
• On the use of multi–objective evolutionary classifiers for breast cancer detection (2022) — breast cancer, evolutionary computing, machine learning, mammographic image
• SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine? (2022) — machine learning, sers liquid biopsy, urine
• An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem (2022) — complex networks, critical node detection
• A pedagogical approach in interleaving software quality concerns at an artificial intelligence course (2022) — bug prediction, education, machine learning, metrics
• An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022) — data mining, features, machine learning, sentiment analysis
• Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review (2022) — cne beam computed tomography, data mining, dentistry, machine learning
• A Lexicon-based Feature for Twitter Sentiment Analysis (2022) — data mining, features, machine learning, natural language processing, sentiment analysis
• Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem (2022) — data mining, machine learning, reinforcement learning, train rescheduling

2021

• A hybrid approach to MVC architectural layers analysis (2021) — software engineering
• Importance of software architectures in mobile projects (2021) — software engineering
• Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks (2021) — complex networks
• Validating static call graph-based malware signatures using community detection methods (2021) — complex networks
• Network Analysis Based on Important Node Selection and Community Detection (2021) — complex networks
• Towards feature selection for digital mammogram classification (2021) — evolutionary computing, machine learning
• Mammography Lesion Detection Using an Improved GrowCut Algorithm (2021) — machine learning
• Optimal Stereo Camera Calibration via Genetic Algorithms (2021) — machine learning
• Towards Accessibility in Education. An Ontology based approach (2021) — data mining, machine learning
• Students perception on the impact of their involvement in the learning process: an empirical study (2021) — data mining
• Region-of-Interest-Based Cardiac Image Segmentation with Deep Learning (2021) — machine learning
• A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization (2021) — data mining, evolutionary computing, machine learning
• Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges (2021) — machine learning
• AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction (2021) — machine learning
• An Evolutionary Approach for Critical Node Detection in Hypergraphs. A Case Study of an Inflation Economic Network (2021) — complex networks, critical node detection, evolutionary computing, optimization
• Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach (2021) — complex networks, critical node detection, optimization
• Towards Smart Edutainment Applications for Young Children. A Proposal (2021) — data mining, education, emotion recognition
• A Validation Framework for ARP Similarity Measure (2021) — data mining, metrics, recommendation systems, sentiment analysis
• Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase (2021) — data mining, mobile, software architectures
• On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies (2021) — evolutionary computing, metrics, optimization, testing
• Advances in Clickbait and Fake News Detection Using New Language-independent Strategies (2021) — clickbait detection, data mining, features, natural language processing, web
• PV Monitoring System using Industrial Internet of Things Technologies based on Graphical Programming (2021) — data mining, internet of things, photovoltaic system
• A Simple Genetic Algorithm for the Critical Node Detection Problem (2021) — complex networks, critical node detection, evolutionary computing
• A New Nash-Probit Model for Binary Classification (2021) — evolutionary computing, game theory, nash equilibrium, optimization

2020

• Detecting Model View Controller Architectural Layers using Clustering in Mobile Codebases (2020) — software engineering
• Hybrid Features for Twitter Sentiment Analysis (2020) — data mining
• A Sentiment-based Similarity Model for Recommendation Systems (2020) — data mining
• A Fast and Robust, Forehead-Augmented 3D Face Reconstruction from Multiple Images using Geometrical Methods (2020) — machine learning
• A musical similarity metric based on Symbolic Aggregate Approximation (2020) — machine learning
• Generalized Cellular Automata for Edege Detection (2020) — machine learning
• Unsupervised Edge Detector based on Evolved Cellular Automata (2020) — machine learning
• Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder (2020) — machine learning
• Alexa, What classes do I have today? The use of Artificial Intelligence via Smart Speakers in Education (2020) — machine learning
• Butterfly Effect in Chaotic Image Segmentation (2020) — evolutionary computing
• Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis (2020) — machine learning
• Initial validation of an automatic algorithm for whole heart segmentation from cardiac MRI images using atrial volume determination (2020) — machine learning
• Robustness analysis of transferable cellular automata rules optimized for edge detection (2020) — machine learning
• A Step Towards Preschoolers’ Satisfaction Assessment Support by Facial Expression Emotions Identification (2020) — data mining
• Evolutionary curriculum learning approach for transferable cellular automata rule optimization (2020) — data mining, machine learning
• Developing Smart Edutainment for Preschoolers. A Multidisciplinary Approach (2020) — data mining
• Stochastic remote neighborhoods control GrowCut’s segmentation semantics (2020) — data mining, machine learning
• Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning (2020) — complex networks, data mining

2019

• Study of connection between articulation points and network motifs in complex networks (2019) — complex networks, data mining
• An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks (2019) — complex networks, data mining
• Mining network motif discovery by learning techniques (2019) — complex networks, data mining
• Automatic examining of software architectures on mobile applications codebases (2019) — machine learning, mobile, software architectures
• An analysis system for mobile applications mvc software architectures (2019) — mobile, software architectures
• Model view controller in iOS mobile applications development (2019) — mobile, software architectures
• Autonomous image segmentation by Competitive Unsupervised GrowCut (2019) — evolutionary computing, machine learning
• Particle Swarm Optimization of Cellular Automata Rules for Edge Detection (2019) — evolutionary computing, machine learning
• Artificial intelligence meets software engineering in the classroom (2019) — evolutionary computing, machine learning
• Extended region growing algorithm for whole heart segmentation from cardiac MRI images (2019) — evolutionary computing, machine learning
• A Comparative Study of Software Architectures in Mobile Applications (2019) — software engineering
• A restaurants recommendation system: Improving rating predictions using sentiment analysis (2019) — machine learning
• A Comparative Analysis of Similarity Measures in Memory-Based Collaborative Filtering (2019) — data mining
• Bach 2.0 – Generating Classical Music using Recurrent Neural Networks (2019) — machine learning
• A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification (2019) — machine learning
• Evolved cellular automata for edge detection (2019) — machine learning
• Evolved Cellular Automata for Edge Detection in Grayscale Images (2019) — machine learning
• Evolved Cellular Automata for Edge Detection in Binary Images (2019) — machine learning
• An initial study of feature extraction’s methods in facial expression recognition (2019) — data mining

2018

• Evolving Mathematical Formulas using LINQ Expression Trees and Direct Applications to Credit Scoring (2018) — evolutionary computing
• Parallel acceleration of subgraph enumeration in the process of network motif detection (2018) — complex networks, data mining
• Dynamic Autonomous Image Segmentation based on GrowCut (2018) — evolutionary computing, machine learning
• Evolving Cellular Automata for Two stage Edge Detection (2018) — evolutionary computing, machine learning
• Unsupervised and Fully Autonomous 3D Medical Image Segmentation based on Grow Cut (2018) — evolutionary computing, machine learning
• A four-phase meta-heuristic algorithm for solving large scale instances of the Shift minimization personnel task scheduling problem (2018) — evolutionary computing, machine learning

2017

• Assessment of the heart with atrial fibrillation using a Magnetic Resonance Imaging (MRI) method (2017) — computer-assisted diagnosis, machine learning, magnetic resonance imaging
• The Use of Simple Cellular Automata in Image Processing (2017) — evolutionary computing, machine learning
• Avenues for the Use of Cellular Automata In Image Processing (2017) — evolutionary computing, machine learning
• Hybrid topology in GrowCut algorithm (2017) — evolutionary computing, machine learning
• Requirement Dependencies–based Formal Approach for Test Case Prioritization in Regression Testing (2017) — evolutionary computing
• Interval-state cellular automata and their applications to image segmentation (2017) — machine learning

2016

• Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes (2016) — machine learning
• Support vector machine and boosting based Multiclass classification for traffic scene obstacles (2016) — machine learning
• Support Vector Machine and Boosting based Multiclass Classification for Traffic Scene Obstacles (2016) — evolutionary computing, machine learning
• Investigation of Cellular Automata Neighbourhoods in Image Segmentation (2016) — evolutionary computing, machine learning
• Exploring Various Neighborhoods in Cellular Automata for Image Segmentation (2016) — evolutionary computing, machine learning
• Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes (2016) — evolutionary computing, machine learning
• Parameterized Cellular Automata in Image Segmentation (2016) — evolutionary computing, machine learning
• A Genetic Algorithm Approach for Evolving Neural Networks (2016) — evolutionary computing, machine learning

2015

• Obstacle recognition in traffic by adapting the hog descriptor and learning in layers (2015) — machine learning
• A new unsupervised learning based approach for gender detection of human archaeological remains (2015) — machine learning
• Sex Identification in Archaeological Remains Using Decision Tree Learning (2015) — machine learning
• Multi-objective breast cancer classification by using Multi-Expression Programming (2015) — evolutionary computing, machine learning
• Descriptors fusion and genetic programming for breast cancer detection (2015) — evolutionary computing, machine learning
• Pedestrian recognition by using a dynamic modality selection approach (2015) — machine learning
• Pedestrian recognition using a dynamic modality fusion approach (2015) — machine learning