{"id":51,"date":"2019-10-14T20:49:11","date_gmt":"2019-10-14T20:49:11","guid":{"rendered":"http:\/\/www.cs.ubbcluj.ro\/~meco\/?page_id=51"},"modified":"2026-02-01T12:49:28","modified_gmt":"2026-02-01T12:49:28","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n\n  <h2>2026<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/tf3-ro-50m-training-compact-romanian-language-models-from-scratch-on-synthetic-moral-microfiction-2026\/\">TF3-RO-50M: Training Compact Romanian Language Models from Scratch on Synthetic Moral Microfiction (2026)<\/a> \u2014 large language models, natural language processing, synthetic data generation<\/li>\n  <\/ul>\n  <h2>2025<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/alexa-and-copilot-a-tale-of-two-assistants-2025\/\">Alexa and Copilot: A Tale of Two Assistants (2025)<\/a> \u2014 machine learning, question answering, virtual assistants<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/llm-output-compliance-with-handcrafted-linguistic-features-an-experiment-2025\/\">LLM Output Compliance with Handcrafted Linguistic Features: An Experiment (2025)<\/a> \u2014 features, large language models, machine learning, prompt engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/challenges-in-software-metrics-adoption-insights-from-cluj-napocas-development-community-2025\/\">Challenges in Software Metrics Adoption: Insights from Cluj-Napoca&amp;#8217;s Development Community (2025)<\/a> \u2014 data mining, metrics, software quality<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/gengui-a-dataset-for-automatic-generation-of-web-user-interfaces-using-chatgpt-2025\/\">GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT (2025)<\/a> \u2014 gui element detection, machine learning, object detection, web<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/multiple-crack-detection-in-beam-like-structures-using-a-novel-particle-swarm-optimization-approach-2025\/\">Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach (2025)<\/a> \u2014 crack detection, evolutionary computing, vibration analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/traffic-sign-orientation-estimation-from-images-using-deep-learning-2025\/\">Traffic Sign Orientation Estimation from Images Using Deep Learning (2025)<\/a> \u2014 machine learning, traffic sign, transfer learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evaluating-large-language-models-for-diacritic-restoration-in-romanian-texts-a-comparative-study-2025\/\">Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study (2025)<\/a> \u2014 large language models, machine learning, natural language processing, prompt engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/automatic-characterization-of-prostate-suspect-lesions-on-t2-weighted-image-acquisitions-using-texture-features-and-machine-learning-methods-a-pilot-study-2025\/\">Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study (2025)<\/a> \u2014 computer-assisted diagnosis, machine learning, magnetic resonance imaging, prostate cancer, radiomics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/preprocessing-techniques-for-optimizing-mammograms-segmentation-a-cellular-automaton-approach-2025\/\">Preprocessing Techniques for Optimizing Mammograms Segmentation: a Cellular Automaton Approach (2025)<\/a> \u2014 breast cancer, computer-assisted diagnosis, evolutionary computing, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/analyzing-the-impact-of-data-augmentation-on-tumor-detection-and-classification-in-mammograms-2025\/\">Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms (2025)<\/a> \u2014 breast cancer, computer-assisted diagnosis, data augmentation, machine learning, mammographic image, object detection<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/resolvi-a-reference-architecture-for-extensible-scalable-and-interoperable-entity-resolution-2025\/\">Resolvi: A Reference Architecture for Extensible, Scalable and Interoperable Entity Resolution (2025)<\/a> \u2014 data mining, entity resolution, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/log-loss-optimization-for-boosting-a-nash-equilibrium-decision-tree-2025\/\">Log-Loss Optimization for Boosting a Nash Equilibrium Decision Tree (2025)<\/a> \u2014 machine learning, nash equilibrium, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/contrail-realistic-railway-image-synthesis-using-controlnet-2025\/\">ContRail: Realistic Railway Image Synthesis using ControlNet (2025)<\/a> \u2014 image generation, machine learning, railway, semantic segmentation, synthetic data augmentation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-hybrid-granular-ball-ant-colony-optimization-for-the-multi-depot-half-open-time-dependent-electric-vehicle-routing-problem-2025\/\">A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem (2025)<\/a> \u2014 electric vehicle routing problem, evolutionary computing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/uolo-a-multitask-u-net-yolo-hybrid-model-for-railway-scene-understanding-2025\/\">UOLO: A Multitask U-Net YOLO Hybrid Model for Railway Scene Understanding (2025)<\/a> \u2014 machine learning, object detection, railway, semantic segmentation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/hybrid-adaptive-greedy-algorithm-addressing-the-multi-robot-path-planning-problem-2025\/\">Hybrid Adaptive Greedy Algorithm Addressing the Multi-Robot Path Planning Problem (2025)<\/a> \u2014 a* algorithm, evolutionary computing, path planning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/textural-analysis-and-artificial-intelligence-as-decision-support-tools-in-the-diagnosis-of-multiple-sclerosis-a-systematic-review-2025\/\">Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis \u2013 a systematic review (2025)<\/a> \u2014 machine learning, magnetic resonance imaging, metrics, multiple sclerosis, texture analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/small-open-models-achieve-near-parity-with-large-models-in-low-resource-literary-translation-at-a-fraction-of-the-cost-2025\/\">Small Open Models Achieve Near Parity with Large Models in Low Resource Literary Translation at a Fraction of the Cost (2025)<\/a> \u2014 large language models, machine learning, machine translation, synthetic dataset<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/tf1-en-3m-three-million-synthetic-moral-fables-for-training-small-open-language-models-2025\/\">TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models (2025)<\/a> \u2014 evaluation metrics, large language models, machine learning, synthetic data generation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/unveiling-hybrid-cyclomatic-complexity-a-comprehensive-analysis-and-evaluation-as-an-integral-feature-in-automatic-defect-prediction-models-2025\/\">Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models (2025)<\/a> \u2014 bug prediction, machine learning, metrics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/synthetic-data-generation-using-large-language-models-advances-in-text-and-code-2025\/\">Synthetic Data Generation Using Large Language Models: Advances in Text and Code (2025)<\/a> \u2014 large language models, machine learning, natural language processing, retrieval-augmented generation, synthetic data generation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evaluating-deep-learning-models-for-cross-platform-ui-component-detection-a-study-across-web-desktop-and-mobile-interfaces-2025\/\">Evaluating Deep Learning Models for Cross-Platform UI Component Detection: A Study Across Web, Desktop, and Mobile Interfaces (2025)<\/a> \u2014 gui element detection, machine learning, mobile, object detection, web<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/network-optimization-problem-applicable-for-breast-cancer-screening-cost-minimization-2025\/\">Network Optimization Problem Applicable for Breast Cancer Screening Cost Minimization (2025)<\/a> \u2014 breast cancer, evolutionary computing, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/using-community-detection-in-adolescent-media-multitasking-research-an-exploratory-study-2025\/\">Using Community Detection in Adolescent Media Multitasking Research. An Exploratory Study (2025)<\/a> \u2014 behavioral profiling, complex networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/on-some-univalence-criteria-for-certain-integral-operators-2025\/\">On some univalence criteria for certain integral operators (2025)<\/a> \u2014 integral operators, symbolic computation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/building-large-scale-english-romanian-literary-translation-resources-with-open-models-2025\/\">Building Large-Scale English-Romanian Literary Translation Resources with Open Models (2025)<\/a> \u2014 large language models, machine translation, synthetic data generation<\/li>\n  <\/ul>\n  <h2>2024<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/using-chat-gpt-for-malicious-web-links-detection-2024\/\">Using Chat GPT for Malicious Web Links Detection (2024)<\/a> \u2014 features, large language models, machine learning, malicious urls<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/significance-of-training-images-and-feature-extraction-in-lesion-classification-2024\/\">Significance of Training Images and Feature Extraction in Lesion Classification (2024)<\/a> \u2014 breast cancer, computer-assisted diagnosis, data mining, features, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/quiz-ifying-education-exploring-the-power-of-virtual-assistants-2024\/\">Quiz-Ifying Education: Exploring the Power of Virtual Assistants (2024)<\/a> \u2014 education, machine learning, virtual assistants<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/uicvd-a-computer-vision-ui-dataset-for-training-rpa-agents-2024\/\">UICVD: A Computer Vision UI Dataset for Training RPA Agents (2024)<\/a> \u2014 gui element detection, machine learning, synthetic data generation, web<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/using-ensemble-models-for-malicious-web-links-detection-2024\/\">Using Ensemble Models for Malicious Web Links Detection (2024)<\/a> \u2014 evolutionary computing, machine learning, malicious urls<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-an-interpretable-breast-cancer-detection-and-diagnosis-system-2024\/\">Towards an interpretable breast cancer detection and diagnosis system (2024)<\/a> \u2014 breast cancer, computer-assisted diagnosis, features, interpretability, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/teeth-segmentation-and-carious-lesions-segmentation-in-panoramic-x-ray-images-using-cariseg-a-networks-ensemble-2024\/\">Teeth segmentation and carious lesions segmentation in panoramic X-ray images using CariSeg, a networks&amp;#8217; ensemble (2024)<\/a> \u2014 computer-assisted diagnosis, dentistry, image segmentation, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/improving-unsupervised-graph-based-skull-stripping-enhancements-and-comparative-analysis-with-state-of-the-art-methods-2024\/\">Improving Unsupervised Graph-Based Skull Stripping: Enhancements and Comparative Analysis With State-Of-The-Art Methods (2024)<\/a> \u2014 brain, image segmentation, machine learning, magnetic resonance imaging<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-game-theoretic-decision-forest-for-feature-selection-and-classification-2024\/\">A game theoretic decision forest for feature selection and classification (2024)<\/a> \u2014 features, game theory, machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-nash-equilibria-decision-tree-for-binary-classification-2024\/\">A Nash equilibria decision tree for binary classification (2024)<\/a> \u2014 game theory, machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/the-impact-of-data-annotations-on-the-performance-of-object-detection-models-in-icon-detection-for-gui-images-2024\/\">The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images (2024)<\/a> \u2014 data augmentation, gui element detection, machine learning, object detection<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/machine-learning-model-predicts-postoperative-outcomes-in-chronic-rhinosinusitis-with-nasal-polyps-2024\/\">Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps (2024)<\/a> \u2014 chronic rhinosinusitis, computer-assisted diagnosis, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/matching-apictorial-puzzle-pieces-using-deep-learning-2024\/\">Matching Apictorial Puzzle Pieces Using Deep Learning (2024)<\/a> \u2014 image segmentation, machine learning, synthetic data generation<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/generating-random-complex-networks-with-network-motifs-using-evolutionary-algorithm-based-null-model-2024\/\">Generating random complex networks with network motifs using evolutionary algorithm-based null model (2024)<\/a> \u2014 complex networks, evolutionary computing, network motifs<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/degrarec-3d-deformable-object-reconstruction-using-graph-neural-networks-and-depth-estimation-2024\/\">DeGraRec: 3D Deformable Object Reconstruction Using Graph Neural Networks and Depth Estimation (2024)<\/a> \u2014 3d reconstruction, graph convolutional networks, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/contrail-a-framework-for-realistic-railway-image-synthesis-using-controlnet-2024\/\">ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet (2024)<\/a> \u2014 3d reconstruction, graph convolutional networks, image segmentation, machine learning, railway<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/machine-learning-based-approaches-for-multi-level-sentiment-analysis-of-romanian-reviews-2024\/\">Machine-Learning-Based Approaches for Multi-Level Sentiment Analysis of Romanian Reviews (2024)<\/a> \u2014 machine learning, natural language processing, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/competitive-influence-maximization-in-trust-based-social-networks-with-deep-q-learning-2024\/\">Competitive Influence Maximization in Trust-Based Social Networks With Deep Q-Learning (2024)<\/a> \u2014 competitive influence maximization, complex networks, reinforcement learning, social networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-pseudo-deterministic-noisy-extremal-optimization-algorithm-for-the-pairwise-connectivity-critical-node-detection-problem-2024\/\">A Pseudo-Deterministic Noisy Extremal Optimization algorithm for the pairwise connectivity Critical Node Detection Problem (2024)<\/a> \u2014 complex networks, critical node detection, optimization, synthetic dataset<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/automatic-classification-of-signal-and-noise-in-functional-magnetic-resonance-imaging-scans-using-convolutional-neural-networks-2024\/\">Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks (2024)<\/a> \u2014 machine learning, magnetic resonance imaging<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/malicious-web-links-detection-based-on-image-processing-and-deep-learning-models-2024\/\">Malicious Web Links Detection Based on Image Processing and Deep Learning Models (2024)<\/a> \u2014 evolutionary computing, machine learning, malicious urls<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/pyresolvemetrics-a-standards-compliant-and-efficient-approach-to-entity-resolution-metrics-2024\/\">PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics (2024)<\/a> \u2014 data mining, education, entity resolution, evaluation metrics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/the-impact-of-augmentation-techniques-on-icon-detection-using-machine-learning-techniques-2024\/\">The Impact of Augmentation Techniques on Icon Detection Using Machine Learning Techniques (2024)<\/a> \u2014 data augmentation, gui element detection, machine learning, mobile, object detection<\/li>\n  <\/ul>\n  <h2>2023<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/comparison-of-data-models-for-unsupervised-twitter-sentiment-analysis-2023\/\">Comparison of Data Models for Unsupervised Twitter Sentiment Analysis (2023)<\/a> \u2014 data mining, features, machine learning, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/malicious-web-links-detection-a-comparative-analysis-of-machine-learning-algorithms-2023\/\">Malicious Web Links Detection &amp;#8211; A Comparative Analysis of Machine Learning Algorithms (2023)<\/a> \u2014 machine learning, malicious urls, social engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/extended-mammogram-classification-from-textural-features-2023\/\">Extended Mammogram Classification From Textural Features (2023)<\/a> \u2014 breast cancer, computer-assisted diagnosis, evolutionary computing, features, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/examining-the-social-behavior-of-ant-colonies-using-complex-networks-2023\/\">Examining the Social Behavior of Ant Colonies Using Complex Networks (2023)<\/a> \u2014 complex networks, social networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/mri-based-radiomics-in-bladder-cancer-a-systematic-review-and-radiomics-quality-score-assessment-2023\/\">MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023)<\/a> \u2014 bladder cancer, data mining, machine learning, magnetic resonance imaging, radiomics, texture analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/malicious-web-links-detection-using-ensemble-models-2023\/\">Malicious Web Links Detection Using Ensemble Models (2023)<\/a> \u2014 evolutionary computing, machine learning, malicious urls<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/efficient-academic-retrieval-system-based-on-aggregated-sources-2023\/\">Efficient Academic Retrieval System Based on Aggregated Sources (2023)<\/a> \u2014 data mining, features, recommendation systems, web<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-good-practices-for-collaborative-development-of-ml-based-systems-2023\/\">Towards Good Practices for Collaborative Development of ML-Based Systems (2023)<\/a> \u2014 machine learning, software engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/facilitating-model-training-with-automated-techniques-2023\/\">Facilitating Model Training With Automated Techniques (2023)<\/a> \u2014 cloud, machine learning, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/linear-discriminant-analysis-tumour-classification-for-unsupervised-segmented-mammographies-2023\/\">Linear Discriminant Analysis Tumour Classification for Unsupervised Segmented Mammographies (2023)<\/a> \u2014 breast cancer, computer-assisted diagnosis, data mining, features, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-an-improved-unsupervised-graph-based-mri-brain-segmentation-method-2023\/\">Towards an Improved Unsupervised Graph-Based MRI Brain Segmentation Method (2023)<\/a> \u2014 brain, data mining, machine learning, medical imaging<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/breast-cancer-images-segmentation-using-fuzzy-cellular-automaton-2023\/\">Breast Cancer Images Segmentation using Fuzzy Cellular Automaton (2023)<\/a> \u2014 breast cancer, evolutionary computing, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-an-unsupervised-growcut-algorithm-for-mammography-segmentation-2023\/\">Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation (2023)<\/a> \u2014 breast cancer, data mining, image segmentation, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/image-reconstruction-using-cellular-automata-and-neural-networks-2023\/\">Image Reconstruction Using Cellular Automata and Neural Networks (2023)<\/a> \u2014 evolutionary computing, machine learning, metrics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/generalizing-an-improved-growcut-algorithm-for-mammography-lesion-detection-2023\/\">Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection (2023)<\/a> \u2014 breast cancer, computer-assisted diagnosis, data mining, features, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/fully-automated-bladder-tumor-segmentation-from-t2-mri-images-using-3d-u-net-algorithm-2023\/\">Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm (2023)<\/a> \u2014 bladder cancer, data mining, image analysis, machine learning, magnetic resonance imaging<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-light-3d-unet-based-architecture-for-fully-automatic-segmentation-of-prostate-lesions-from-t2-mri-images-2023\/\">A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images. (2023)<\/a> \u2014 data mining, image analysis, machine learning, magnetic resonance imaging, prostate cancer<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-game-theoretic-based-k-nearest-neighbor-approach-for-binary-classification-2023\/\">A Game Theoretic Based K-Nearest Neighbor Approach for Binary Classification (2023)<\/a> \u2014 game theory, machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/railway-switch-classification-using-deep-neural-networks-2023\/\">Railway Switch Classification Using Deep Neural Networks (2023)<\/a> \u2014 machine learning, railway<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/feature-selection-based-on-a-decision-tree-genetic-algorithm-2023\/\">Feature Selection Based on a Decision Tree Genetic Algorithm (2023)<\/a> \u2014 evolutionary computing, explainability, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-evolutionary-approach-to-feature-selection-and-classification-2023\/\">An Evolutionary Approach to Feature Selection and Classification (2023)<\/a> \u2014 features, machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/identification-of-influential-nodes-with-shapley-influence-maximization-extremal-optimization-algorithm-2023\/\">Identification of influential nodes with Shapley Influence Maximization Extremal Optimization algorithm (2023)<\/a> \u2014 complex networks, game theory, influence maximization, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/assessment-of-cracks-in-beams-using-changes-in-the-measured-frequencies-and-particle-swarm-optimization-2023\/\">Assessment of cracks in beams using changes in the measured frequencies and Particle Swarm Optimization (2023)<\/a> \u2014 crack detection, evolutionary computing, health monitoring<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/multi-objective-optimization-for-multi-robot-path-planning-on-warehouse-environments-2023\/\">Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments (2023)<\/a> \u2014 evolutionary computing, optimization, path planning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evaluating-cooperative-competitive-dynamics-with-deep-q-learning-2023\/\">Evaluating cooperative-competitive dynamics with deep Q-learning (2023)<\/a> \u2014 cooperative-competitive environments, machine learning, reinforcement learning<\/li>\n  <\/ul>\n  <h2>2022<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/more-than-meets-the-eye-using-textural-analysis-and-artificial-intelligence-as-decision-support-tools-in-prostate-cancer-diagnosis-a-systematic-review-2022\/\">More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis\u2014A Systematic Review (2022)<\/a> \u2014 computer-assisted diagnosis, data mining, magnetic resonance imaging, prostate cancer, radiomics, texture analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-hybrid-complexity-metric-in-automatic-software-defects-prediction-2022\/\">A Hybrid Complexity Metric in Automatic Software Defects Prediction (2022)<\/a> \u2014 automatic defect prediction, data mining, metrics, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/recommendation-system-for-student-academic-progress-2022\/\">Recommendation System for Student Academic Progress (2022)<\/a> \u2014 education, machine learning, recommendation systems<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/the-twitter-lex-sentiment-analysis-system-2022\/\">The Twitter-Lex Sentiment Analysis System (2022)<\/a> \u2014 data mining, features, natural language processing, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-game-theoretic-flavoured-decision-tree-for-classification-2022\/\">A Game Theoretic Flavoured Decision Tree for Classification (2022)<\/a> \u2014 data mining, game theory, machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-unsupervised-threshold-based-growcut-algorithm-for-mammography-lesion-detection-2022\/\">An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection (2022)<\/a> \u2014 breast cancer, data mining, image segmentation, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/the-impact-of-convolutional-neural-network-parameters-in-the-binary-classification-of-mammograms-2022\/\">The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms (2022)<\/a> \u2014 breast cancer, data mining, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/applying-deep-q-learning-for-multi-agent-cooperative-competitive-environments-2022\/\">Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments (2022)<\/a> \u2014 cooperative-competitive environments, data mining, machine learning, reinforcement learning, social dynamics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-new-game-theoretic-based-random-forest-for-binary-classification-2022\/\">A New Game Theoretic Based Random Forest for Binary Classification (2022)<\/a> \u2014 machine learning, nash equilibrium<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-game-theoretic-decision-tree-for-binary-classification-2022\/\">A Game Theoretic Decision Tree for Binary Classification (2022)<\/a> \u2014 evolutionary computing, game theory, nash equilibrium, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-evaluation-of-image-texture-descriptors-and-their-invariant-properties-2022\/\">An Evaluation of Image Texture Descriptors and their Invariant Properties (2022)<\/a> \u2014 data mining, features, texture analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/pathways-for-statically-mining-the-model-view-controller-software-architecture-on-mobile-applications-2022\/\">Pathways for statically mining the Model-View-Controller software architecture on mobile applications (2022)<\/a> \u2014 data mining, mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/on-what-kind-of-applications-can-clustering-be-used-for-inferring-mvc-architectural-layers-2022\/\">On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? (2022)<\/a> \u2014 data mining, machine learning, mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/comparing-automatic-approaches-for-mvc-architecture-detection-in-ios-codebases-2022\/\">Comparing Automatic Approaches for Mvc Architecture Detection in Ios Codebases (2022)<\/a> \u2014 machine learning, mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-efficient-multi-robot-path-planning-solution-using-a-and-coevolutionary-algorithms-2022\/\">An efficient multi-robot path planning solution using A* and coevolutionary algorithms (2022)<\/a> \u2014 a* algorithm, evolutionary computing, path planning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/complex-network-analysis-using-artificial-intelligence-algorithms-2022\/\">Complex Network Analysis using Artificial Intelligence Algorithms (2022)<\/a> \u2014 complex networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-comparison-of-meta-heuristic-based-optimization-methods-using-standard-benchmarks-2022\/\">A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks (2022)<\/a> \u2014 evolutionary computing, metrics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/on-the-use-of-multi-objective-evolutionary-classifiers-for-breast-cancer-detection-2022\/\">On the use of multi\u2013objective evolutionary classifiers for breast cancer detection (2022)<\/a> \u2014 breast cancer, evolutionary computing, machine learning, mammographic image<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/sers-liquid-biopsy-in-breast-cancer-what-can-we-learn-from-sers-on-serum-and-urine-2022\/\">SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine? (2022)<\/a> \u2014 machine learning, sers liquid biopsy, urine<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-extremal-optimization-approach-to-the-pairwise-connectivity-critical-node-detection-problem-2022\/\">An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem (2022)<\/a> \u2014 complex networks, critical node detection<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-pedagogical-approach-in-interleaving-software-quality-concerns-at-an-artificial-intelligence-course-2022\/\">A pedagogical approach in interleaving software quality concerns at an artificial intelligence course (2022)<\/a> \u2014 bug prediction, education, machine learning, metrics<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-unsupervised-approach-for-twitter-sentiment-analysis-of-usa-2020-presidential-election-2022\/\">An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022)<\/a> \u2014 data mining, features, machine learning, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/artificial-intelligence-models-for-clinical-usage-in-dentistry-with-a-focus-on-dentomaxillofacial-cbct-a-systematic-review-2022\/\">Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review (2022)<\/a> \u2014 cne beam computed tomography, data mining, dentistry, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-lexicon-based-feature-for-twitter-sentiment-analysis-2022\/\">A Lexicon-based Feature for Twitter Sentiment Analysis (2022)<\/a> \u2014 data mining, features, machine learning, natural language processing, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/standardized-feature-extraction-from-pairwise-conflicts-applied-to-the-train-rescheduling-problem-2022\/\">Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem (2022)<\/a> \u2014 data mining, machine learning, reinforcement learning, train rescheduling<\/li>\n  <\/ul>\n  <h2>2021<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-hybrid-approach-to-mvc-architectural-layers-analysis-2021\/\">A hybrid approach to MVC architectural layers analysis (2021)<\/a> \u2014 software engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/importance-of-software-architectures-in-mobile-projects\/\">Importance of software architectures in mobile projects (2021)<\/a> \u2014 software engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/network-motifs-a-key-variable-in-the-equation-of-dynamic-flow-between-macro-and-micro-layers-in-complex-networks-2021\/\">Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks (2021)<\/a> \u2014 complex networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/validating-static-call-graph-based-malware-signatures-using-community-detection-methods-2021\/\">Validating static call graph-based malware signatures using community detection methods (2021)<\/a> \u2014 complex networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/network-analysis-based-on-important-node-selection-and-community-detection-2021\/\">Network Analysis Based on Important Node Selection and Community Detection (2021)<\/a> \u2014 complex networks<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-feature-selection-for-digital-mammogram-classification-2021\/\">Towards feature selection for digital mammogram classification (2021)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/mammography-lesion-detection-using-an-improved-growcut-algorithm\/\">Mammography Lesion Detection Using an Improved GrowCut Algorithm (2021)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/optimal-stereo-camera-calibration-via-genetic-algorithms-2021\/\">Optimal Stereo Camera Calibration via Genetic Algorithms (2021)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-accessibility-in-education-an-ontology-based-approach-2021\/\">Towards Accessibility in Education. An Ontology based approach (2021)<\/a> \u2014 data mining, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/students-perception-on-the-impact-of-their-involvement-in-the-learning-process-an-empirical-study-2021\/\">Students perception on the impact of their involvement in the learning process: an empirical study (2021)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/region-of-interest-based-cardiac-image-segmentation-with-deep-learning-2021\/\">Region-of-Interest-Based Cardiac Image Segmentation with Deep Learning (2021)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-transfer-learning-approach-on-the-optimization-of-edge-detectors-for-medical-images-using-particle-swarm-optimization-2021\/\">A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization (2021)<\/a> \u2014 data mining, evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/autonomous-on-wrist-acceleration-based-fall-detection-systems-unsolved-challenges-2021\/\">Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges (2021)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/autoppi-an-ensemble-of-deep-autoencoders-for-protein-protein-interaction-prediction-2021\/\">AutoPPI: An Ensemble of Deep Autoencoders for Protein\u2013Protein Interaction Prediction (2021)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-evolutionary-approach-for-critical-node-detection-in-hypergraphs-a-case-study-of-an-inflation-economic-network-2021\/\">An Evolutionary Approach for Critical Node Detection in Hypergraphs. A Case Study of an Inflation Economic Network (2021)<\/a> \u2014 complex networks, critical node detection, evolutionary computing, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/critical-node-detection-for-maximization-of-connected-components-an-extremal-optimization-approach-2021\/\">Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach (2021)<\/a> \u2014 complex networks, critical node detection, optimization<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/towards-smart-edutainment-applications-for-young-children-a-proposal-2021\/\">Towards Smart Edutainment Applications for Young Children. A Proposal (2021)<\/a> \u2014 data mining, education, emotion recognition<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-validation-framework-for-arp-similarity-measure-2021\/\">A Validation Framework for ARP Similarity Measure (2021)<\/a> \u2014 data mining, metrics, recommendation systems, sentiment analysis<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/validating-hyde-intelligent-method-for-inferring-software-architectures-from-mobile-codebase-2021\/\">Validating HyDe: Intelligent Method for Inferring Software Architectures from Mobile Codebase (2021)<\/a> \u2014 data mining, mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/on-the-use-of-evolutionary-algorithms-for-test-case-prioritization-in-regression-testing-considering-requirements-dependencies-2021\/\">On the use of evolutionary algorithms for test case prioritization in regression testing considering requirements dependencies (2021)<\/a> \u2014 evolutionary computing, metrics, optimization, testing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/advances-in-clickbait-and-fake-news-detection-using-new-language-independent-strategies-2021\/\">Advances in Clickbait and Fake News Detection Using New Language-independent Strategies (2021)<\/a> \u2014 clickbait detection, data mining, features, natural language processing, web<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/pv-monitoring-system-using-industrial-internet-of-things-technologies-based-on-graphical-programming-2021\/\">PV Monitoring System using Industrial Internet of Things Technologies based on Graphical Programming (2021)<\/a> \u2014 data mining, internet of things, photovoltaic system<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-simple-genetic-algorithm-for-the-critical-node-detection-problem-2021\/\">A Simple Genetic Algorithm for the Critical Node Detection Problem (2021)<\/a> \u2014 complex networks, critical node detection, evolutionary computing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-new-nash-probit-model-for-binary-classification-2021\/\">A New Nash-Probit Model for Binary Classification (2021)<\/a> \u2014 evolutionary computing, game theory, nash equilibrium, optimization<\/li>\n  <\/ul>\n  <h2>2020<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/detecting-model-view-controller-architectural-layers-using-clustering-in-mobile-codebases-2020\/\">Detecting Model View Controller Architectural Layers using Clustering in Mobile Codebases (2020)<\/a> \u2014 software engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/hybrid-features-for-twitter-sentiment-analysis-2020\/\">Hybrid Features for Twitter Sentiment Analysis (2020)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-sentiment-based-similarity-model-for-recommendation-systems-2020\/\">A Sentiment-based Similarity Model for Recommendation Systems (2020)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-fast-and-robust-forehead-augmented-3d-face-reconstruction-from-multiple-images-using-geometrical-methods-2020\/\">A Fast and Robust, Forehead-Augmented 3D Face Reconstruction from Multiple Images using Geometrical Methods (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-musical-similarity-metric-based-on-symbolic-aggregate-approximation-2020\/\">A musical similarity metric based on Symbolic Aggregate Approximation (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/generalized-cellular-automata-for-edege-detection-2020\/\">Generalized Cellular Automata for Edege Detection (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/unsupervised-edge-detector-based-on-evolved-cellular-automata-2020\/\">Unsupervised Edge Detector based on Evolved Cellular Automata (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/tumor-detection-in-brain-mris-by-computing-dissimilarities-in-the-latent-space-of-a-variational-autoencoder-2020\/\">Tumor Detection in Brain MRIs by Computing Dissimilarities in the Latent Space of a Variational AutoEncoder (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/alexa-what-classes-do-i-have-today-the-use-of-artificial-intelligence-via-smart-speakers-in-education-2020\/\">Alexa, What classes do I have today? The use of Artificial Intelligence via Smart Speakers in Education (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/butterfly-effect-in-chaotic-image-segmentation-2020\/\">Butterfly Effect in Chaotic Image Segmentation (2020)<\/a> \u2014 evolutionary computing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/feasibility-of-automatic-seed-generation-applied-to-cardiac-mri-image-analysis-2020\/\">Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/initial-validation-of-an-automatic-algorithm-for-whole-heart-segmentation-from-cardiac-mri-images-using-atrial-volume-determination-2020\/\">Initial validation of an automatic algorithm for whole heart segmentation from cardiac MRI images using atrial volume determination (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/robustness-analysis-of-transferable-cellular-automata-rules-optimized-for-edge-detection-2020\/\">Robustness analysis of transferable cellular automata rules optimized for edge detection (2020)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-step-towards-preschoolers-satisfaction-assessment-support-by-facial-expression-emotions-identification-2020\/\">A Step Towards Preschoolers\u2019 Satisfaction Assessment Support by Facial Expression Emotions Identification (2020)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolutionary-curriculum-learning-approach-for-transferable-cellular-automata-rule-optimization-2020\/\">Evolutionary curriculum learning approach for transferable cellular automata rule optimization (2020)<\/a> \u2014 data mining, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/developing-smart-edutainment-for-preschoolers-a-multidisciplinary-approach-2020\/\">Developing Smart Edutainment for Preschoolers. A Multidisciplinary Approach (2020)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/stochastic-remote-neighborhoods-control-growcuts-segmentation-semantics-2020\/\">Stochastic remote neighborhoods control GrowCut\u2019s segmentation semantics (2020)<\/a> \u2014 data mining, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/detecting-communities-in-networks-a-decentralized-approach-based-on-multiagent-reinforcement-learning-2020\/\">Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning (2020)<\/a> \u2014 complex networks, data mining<\/li>\n  <\/ul>\n  <h2>2019<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/study-of-connection-between-articulation-points-and-network-motifs-in-complex-networks-2019\/\">Study  of  connection  between  articulation points and network motifs in complex networks (2019)<\/a> \u2014 complex networks, data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-empirical-analysis-of-the-correlation-be-tween-the-motifs-frequency-and-the-topological-properties-of-complex-networks-2019\/\">An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks (2019)<\/a> \u2014 complex networks, data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/mining-network-motif-discovery-by-learning-techniques\/\">Mining network motif discovery by learning techniques  (2019)<\/a> \u2014 complex networks, data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/automatic-examining-of-software-architectures-on-mobile-applications-codebases-2019\/\">Automatic examining of software architectures on mobile applications codebases (2019)<\/a> \u2014 machine learning, mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-analysis-system-for-mobile-applications-mvc-software-architectures-2019\/\">An analysis system for mobile applications mvc software architectures (2019)<\/a> \u2014 mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/model-view-controller-in-ios-mobile-applications-development-2019\/\">Model view controller in iOS mobile applications development (2019)<\/a> \u2014 mobile, software architectures<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/autonomous-image-segmentation-by-competitive-unsupervised-growcut\/\">Autonomous image segmentation by Competitive Unsupervised GrowCut (2019)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/particle-swarm-optimization-of-cellular-automata-rules-for-edge-detection\/\">Particle Swarm Optimization of Cellular Automata Rules for Edge Detection (2019)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/artificial-intelligence-meets-software-engineering-in-the-classroom\/\">Artificial intelligence meets software engineering in the classroom (2019)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/extended-region-growing-algorithm-for-whole-heart-segmentation-from-cardiac-mri-images-2019\/\">Extended region growing algorithm for whole heart segmentation from cardiac MRI images (2019)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-comparative-study-of-software-architectures-in-mobile-applications-2019\/\">A Comparative Study of Software Architectures in Mobile Applications (2019)<\/a> \u2014 software engineering<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-restaurants-recommendation-system-improving-rating-predictions-using-sentiment-analysis-2019\/\">A restaurants recommendation system: Improving rating predictions using sentiment analysis (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-comparative-analysis-of-similarity-measures-in-memory-based-collaborative-filtering-2019\/\">A Comparative Analysis of Similarity Measures in Memory-Based Collaborative Filtering (2019)<\/a> \u2014 data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/bach-2-0-generating-classical-music-using-recurrent-neural-networks-2019\/\">Bach 2.0 \u2013 Generating Classical Music using Recurrent Neural Networks (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-versatile-3d-face-reconstruction-from-multiple-images-for-face-shape-classification-2019\/\">A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolved-cellular-automata-for-edge-detection-2019\/\">Evolved cellular automata for edge detection (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolved-cellular-automata-for-edge-detection-in-grayscale-images-2019\/\">Evolved Cellular Automata for Edge Detection in Grayscale Images (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolved-cellular-automata-for-edge-detection-in-binary-images-2019\/\">Evolved Cellular Automata for Edge Detection in Binary Images (2019)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/an-initial-study-of-feature-extractions-methods-in-facial-expression-recognition-2019\/\">An initial study of feature extraction\u2019s methods in facial expression recognition (2019)<\/a> \u2014 data mining<\/li>\n  <\/ul>\n  <h2>2018<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolving-mathematical-formulas-using-linq-expression-trees-and-direct-applications-to-credit-scoring-2018\/\">Evolving Mathematical Formulas using LINQ Expression Trees and Direct Applications to Credit Scoring (2018)<\/a> \u2014 evolutionary computing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/parallel-acceleration-of-subgraph-enumeration-in-the-process-of-network-motif-detection\/\">Parallel acceleration of subgraph enumeration in the process of network motif detection (2018)<\/a> \u2014 complex networks, data mining<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/dynamic-autonomous-image-segmentation-based-on-growcut-2017\/\">Dynamic Autonomous Image Segmentation based on GrowCut (2018)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/evolving-cellular-automata-for-two-stage-edge-detection-2017\/\">Evolving Cellular Automata for Two stage Edge Detection (2018)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/unsupervised-and-fully-autonomous-3d-medical-image-segmentation-based-on-grow-cut-2017\/\">Unsupervised and Fully Autonomous 3D Medical Image Segmentation based on Grow Cut (2018)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-four-phase-meta-heuristic-algorithm-for-solving-large-scale-instances-of-the-shift-minimization-personnel-task-scheduling-problem-2017\/\">A four-phase meta-heuristic algorithm for solving large scale instances of the Shift minimization personnel task scheduling problem (2018)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n  <\/ul>\n  <h2>2017<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/assessment-of-the-heart-with-atrial-fibrillation-using-a-magnetic-resonance-imaging-mri-method-2017\/\">Assessment of the heart with atrial fibrillation using a Magnetic Resonance Imaging (MRI) method (2017)<\/a> \u2014 computer-assisted diagnosis, machine learning, magnetic resonance imaging<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/the-use-of-simple-cellular-automata-in-image-processing-2017-2\/\">The Use of Simple Cellular Automata in Image Processing (2017)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/avenues-for-the-use-of-cellular-automata-in-image-processing-2017\/\">Avenues for the Use of Cellular Automata In Image Processing (2017)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/hybrid-topology-in-growcut-algorithm-2017\/\">Hybrid topology in GrowCut algorithm (2017)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/requirement-dependencies-based-formal-approach-for-test-case-prioritization-in-regression-testing-2017\/\">Requirement Dependencies\u2013based Formal Approach for Test Case Prioritization in Regression Testing (2017)<\/a> \u2014 evolutionary computing<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/interval-state-cellular-automata-and-their-applications-to-image-segmentation-2017\/\">Interval-state cellular automata and their applications to image segmentation (2017)<\/a> \u2014 machine learning<\/li>\n  <\/ul>\n  <h2>2016<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/multiclass-classi%ef%ac%81cation-based-on-clustering-approaches-for-obstacle-recognition-in-traf%ef%ac%81c-scenes-2016\/\">Multiclass classi\ufb01cation based on clustering approaches for obstacle recognition in traf\ufb01c scenes (2016)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/support-vector-machine-and-boosting-based-multiclass-classification-for-traffic-scene-obstacles-2016\/\">Support vector machine and boosting based Multiclass classification for traffic scene obstacles (2016)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/support-vector-machine-and-boosting-based-multiclass-classification-for-traffic-scene-obstacles\/\">Support Vector Machine and Boosting based Multiclass Classification for Traffic Scene Obstacles (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/investigation-of-cellular-automata-neighbourhoods-in-image-segmentation\/\">Investigation of Cellular Automata Neighbourhoods in Image Segmentation (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/exploring-various-neighborhoods-in-cellular-automata-for-image-segmentation\/\">Exploring Various Neighborhoods in Cellular Automata for Image Segmentation (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/multiclass-classification-based-on-clustering-approaches-for-obstacle-recognition-in-traffic-scenes\/\">Multiclass classification based on clustering approaches for obstacle recognition in traffic scenes (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/parameterized-cellular-automata-in-image-segmentation\/\">Parameterized Cellular Automata in Image Segmentation (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-genetic-algorithm-approach-for-evolving-neural-networks-2016\/\">A Genetic Algorithm Approach for Evolving Neural Networks (2016)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n  <\/ul>\n  <h2>2015<\/h2>\n  <ul>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/obstacle-recognition-in-traf%ef%ac%81c-by-adapting-the-hog-descriptor-and-learning-in-layers-2015\/\">Obstacle recognition in traf\ufb01c by adapting the hog descriptor and learning in layers (2015)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/a-new-unsupervised-learning-based-approach-for-gender-detection-of-human-archaeological-remains-2015\/\">A new unsupervised learning based approach for gender detection of human archaeological remains (2015)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/sex-identification-in-archaeological-remains-using-decision-tree-learning-2015\/\">Sex Identification  in Archaeological Remains Using Decision Tree Learning (2015)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/multi-objective-breast-cancer-classification-by-using-multi-expression-programming\/\">Multi-objective breast cancer classification by using Multi-Expression Programming (2015)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/descriptors-fusion-and-genetic-programming-for-breast-cancer-detection\/\">Descriptors fusion and genetic programming for breast cancer detection (2015)<\/a> \u2014 evolutionary computing, machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/pedestrian-recognition-by-using-a-dynamic-modality-selection-approach\/\">Pedestrian recognition by using a dynamic modality selection approach (2015)<\/a> \u2014 machine learning<\/li>\n    <li><a href=\"https:\/\/www.cs.ubbcluj.ro\/~meco\/pedestrian-recognition-using-a-dynamic-modality-fusion-approach\/\">Pedestrian recognition using a dynamic modality fusion approach (2015)<\/a> \u2014 machine learning<\/li>\n  <\/ul>\n<\/body>\n","protected":false},"excerpt":{"rendered":"<p>2026 TF3-RO-50M: Training Compact Romanian Language Models from Scratch on Synthetic Moral Microfiction (2026) \u2014 large language models, natural language processing, synthetic data generation 2025 Alexa and Copilot: A Tale of Two Assistants (2025) \u2014 machine learning, question answering, virtual assistants LLM Output Compliance with Handcrafted Linguistic Features: An Experiment (2025) \u2014 features, large language&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/51"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":7,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":1580,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/pages\/51\/revisions\/1580"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}