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||Previous years: ||[[Publications/2015|2015]] ||[[Publications/2014|2014]] ||[[Publications/2013|2013]] ||[[Publications/2012|2012]] ||[[Publications/2011|2011]] ||[[Publications/2010|2010]] ||[[Publications/2009|2009]] ||[[Publications/2008|2008]] ||[[Publications/2007|2007]] ||[[Publications/2006|2006]] ||[[Publications/2005|2005]] || Previous years (20xx):
||[[Publications/2021|2021]] ||
||[[Publications/2020|2020]] ||[[Publications/2019|2019]] ||[[Publications/2018|2018]] ||[[Publications/2017|2017]] ||[[Publications/2016|2016]] ||
||[[Publications/2015|2015]] ||[[Publications/2014|2014]] ||[[Publications/2013|2013]] ||[[Publications/2012|2012]] ||[[Publications/2011|2011]] ||
||[[Publications/2010|2010]] ||[[Publications/2009|2009]] ||[[Publications/2008|2008]] ||[[Publications/2007|2007]] ||[[Publications/2006|2006]] ||
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== Recent Publications ==

== 2023 ==
Line 6: Line 12:
 * Dundua, B., Florido, M., Kutsia, T., Marin, M., CLP (H): Constraint logic programming for hedges, Theory and Practice of Logic Programming 16 (02), 141-162, 2016
 * Eraşcu, M., Hong, H., Real quantifier elimination for the synthesis of optimal numerical algorithms (Case study: Square root computation), Journal of Symbolic Computation 75, pp. 110-126, 2016
 * Petcu D., Iuhasz, G., Pop D., Talia D., Carretero J., Prodan R., Fahringer T. et al., On Processing Extreme Data, Scalable Computing: Practice and Experience 16 (4), 467-490, 2016
 * Pop, D., Iuhasz, G., Petcu, D., Distributed Platforms and Cloud Services: Enabling Machine Learning for Big Data, Data Science and Big Data Computing, 139-159, 2016

==== Book chapters ====
 * Pop, D.,Echeverria, A., Petcu, D., Conesa, G., Enabling Open and Collaborative Public Service Advertising through Cloud Technologies, in Cloud Computing Technologies for Connected Government, DOI: 10.4018/978-1-4666-8629-8.ch011, 2016		  1. Cerdà-Alabern L, '''Iuhasz G.''', Gemmi G, Anomaly detection for fault detection in wireless community networks using machine learning, Computer Communications, 2023
 1. Cerdà-Alabern, L., Iuhasz, G., Dataset for anomaly detection in a production wireless mesh community network, Data in Brief, 49, 109342, 2023
 1. '''Brandibur, O.''', '''Kaslik, É.''', Stability Properties of Multi-Term Fractional-Differential Equations, Fractal and Fractional, 7(2),117, 2023
 1. Das, S., Mahato, S.K., Mondal, A., '''Kaslik, E.''', Emergence of diverse dynamical responses in a fractional-order slow–fast pest–predator model, Nonlinear Dynamics, 2023
 1. Faragó, P., '''Ștefănigă, S.-A.''', Cordoș, C.-G., (...), Perju-Dumbravă, L., Ileșan, R.R., CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments, Bioengineering, 10(5),531, 2023
 1. Istrate, G., '''Bonchiş, C.''', A parametric worst-case approach to fairness in cooperative games with transferable utility, Theoretical Computer Science 940, pp. 189-205, 2023
 1. '''Iuhasz, G.''', Panica, S., Duma, A., Cycle Detection and Clustering for Cyber-Physical Systems, Lecture Notes in Networks and Systems, 655 LNNS, pp. 100-114, 2023
 1. '''Kaslik, E.''', '''Kokovics, E.-A.''', Stability and bifurcations in scalar differential equations with a general distributed delay, Applied Mathematics and Computation, 2023
 1. Kononova A.V., Vermetten D., Caraffini F., '''Mitran M.A.''', '''Zaharie D.''', The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation ([[https://direct.mit.edu/evco/article-abstract/doi/10.1162/evco_a_00333/115994/The-Importance-of-Being-Constrained-Dealing-with?redirectedFrom=fulltext|online early]]), 2023
 1. Sharma, S.K., Mondal, A., '''Kaslik, E.''', Hens, C., Antonopoulos, C.G., Diverse electrical responses in a network of fractional-order conductance-based excitable Morris-Lecar systems, Scientific Reports, 13(1), https://doi.org/10.1162/evco_a_00333, 2023
 1. '''R. Urechiatu''', '''M. Frincu''', O. Vaduvescu, C. Boldea, Automated Asteroid Detection by using an Ensemble ML Method, Romanian Astronomical Journal.
 1. '''Onchis, D.M.''', Gillich, G.-R., Hogea, E.Tufisi, C., Neuro-symbolic model for cantilever beams damage detection, Computers in Industry, 151, 103991, 2023
 1. '''Miok, K.''', Corcoran, P., Spasić, I., The Value of Numbers in Clinical Text Classification, Machine Learning and Knowledge Extraction, 5(3), pp. 746–762, 2023
 1. '''T. Selea''', AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning,Remote Sensing, 15(12), 2980, 2023
Line 15: Line 28:
 * DiNitto E., Casale G., Petcu D., On MODAClouds’ Toolkit Support for DevOps, Advances in Service-Oriented and Cloud Computing: Workshops of ESOCC 2015, Taormina, Italy, September 15-17, 2015, Revised Selected Papers, vol 567, pp.430, 2016
 * Drămnesc, I., Jebelean, T., Stratulat, S., Proof–based synthesis of sorting algorithms for trees, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9618, pp. 562-575, 2016
 * Drămnesc, I., Jebelean, T., Stratulat, S., A case study on algorithm discovery from proofs: The insert function on binary trees, 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI), 231-236, 2016
 * Dramnesc, I., Jebelean, T., Stratulat, S., Combinatorial Techniques for Proof-Based Synthesis of Sorting Algorithms, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015,7426074, pp. 137-144, 2016
 * Fortis, A.E., Balint, S., Numerical Investigations of Equilibriums in a Flight with High Angle of Attack,Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426066, pp. 85-89, 2016
 * Irimie, B.-C., Petcu, D., Scalable and Fault Tolerant Monitoring of Security Parameters in the Cloud, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426097, pp. 289-295, 2016
 * Istrate, G., Bonchiş, C., Dinu, L.P., The minimum entropy submodular set cover problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)9618, pp. 295-306, 2016
 * Istrate, G., Bonchis, C., Heapability, Interactive Particle Systems, Partial Orders: Results and Open Problems, International Workshop on Descriptional Complexity of Formal Systems, pp 18-28, 2016
 * Ivascu, T., An Energy Efficient Intelligent Wireless Body Area Network for Real-Time Vital Signs Monitoring, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426094, pp. 265-270, 2016
 * Ivascu, T., Manate, B., Negru, V., A Multi-agent Architecture for Ontology-Based Diagnosis of Mental Disorders, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426113, pp. 423-430, 2016
 * Marin, M., Kutsia, T., Dundua, B., A Rewrite-based Computational Model for Functional Logic Programming, Procs. of SCSS, 95-106, 2016
 * Panica S., Petcu D., Unattended Deployment of Enabling Platforms for Cloud-Based Applications, 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 144-149, 2016
 * Radoaca, A., Simple Venn Diagrams for Multisets, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426080, pp. 181-184, 2016
 * Radoaca, A., Properties of Multisets Compared to Sets, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426081, pp. 187-188
 * Radoaca, A., Properties of Multiset Orders by Minimal and Maximal Submultisets, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426075, pp. 145-152
 * Selea, T., Spataru, A., Frincu, M., Reusing Resource Coalitions for Efficient Scheduling on the Intercloud, Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, 7515748, pp. 621-626, 2016
 * Tirea, M., Negru, V., Text Mining News System - Quantifying Certain Phenomena Effect on the Stock Market Behavior, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426109, pp. 391-398, 2016
 * Tirea, M., Negru, V., Stock Market Trading Strategies Applying Risk and Decision Analysis Models for Detecting Financial Turbulence, Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015, 7426086, pp. 216-223, 2016
 * Vulpe, A., Frincu, M., Exploring Scalability in Pattern Finding in Galactic Structure Using MapReduce, Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, 7515748, pp. 621-626, 2016		  1. '''E. Flondor''', '''M. Frincu''', Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation, Procs. ICCCI.
 1. '''M. Frincu''', S. Frincu, '''M. Penteliuc''', Challenges and Solutions in Transliterating 19th Century Romanian Texts from the Transitional to the Latin Script, Procs. LDK (http://2023.ldk-conf.org/accepted-papers/).
 1. '''Marin, M.''', Kutsia, T., Pau, C., Rukhaia, M., Enumerating All Maximal Clique-Partitions of an Undirected Graph, Electronic Proceedings in Theoretical Computer Science, EPTCS, 389, pp. 65–79, FROM Workshop, 2023.
 1. '''Postovan, A.''', '''Eraşcu, M.''', Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition, Electronic Proceedings in Theoretical Computer Science, EPTCS, 389, pp. 120–130
 1. '''Postovan, A.''', '''Eraşcu, M.''', Architecturing Binarized Neural Networks for Traffic Sign Recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14254 LNCS, pp. 87–98, 2023
 1. '''Mitran, M.-A.''', Kononova, A.V., Caraffini, F., '''Zaharie, D.''', Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, pp. 2337–2345, 2023
 1. '''Valcan, S.''', '''Gaianu, M.''', Ground Truth Data Generator in Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations, Communications in Computer and Information Science, 1864 CCIS, pp. 632–644, 2023
 1. '''Ionascu, A.''', '''Stefaniga, S.''', '''Gaianu, M.''', Synthetic Football Sprite Animations Learned Across the Pitch, Communications in Computer and Information Science, 1864 CCIS, pp. 610–618, 2023
 1. '''Costi, F.''', '''Onchis, D.M.''', Istin, C., Cozma, G.V., Explainability-Enhanced Neural Network for Thoracic Diagnosis Improvement, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14184 LNCS, pp. 35–44, 2023
 1. '''David, B.''', '''Eraşcu, M.''', Benchmarking Optimization Solvers and Symmetry Breakers for the Automated Deployment of Component-based Applications in the Cloud, CEUR Workshop Proceedings, 3458, pp. 37–44, 2023
 1. '''D. Petcu''', Cognitive Cloud Continuum : Plenary Talk, SACI 2023 - IEEE 17th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, pp. 11–12, 2023
 1. '''Mitran, M.-A.''', A Theoretical Analysis on the Bound Violation Probability in Differential Evolution Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13858 LNCS, pp. 233–245, 2023
 1. Rochian, V., '''Bonchis, C.''', Tepeneu, I., Worker-to-Task Skill-Based Assignment, Lecture Notes in Networks and Systems, 655 LNNS, pp. 157–168, 2023
 1. '''Iuhasz, G.''', '''Panica, S.''', '''Duma, A.''', Cycle Detection and Clustering for Cyber Physical Systems, Lecture Notes in Networks and Systems, 655 LNNS, pp. 100–114, 2023

== 2022 ==
==== Journal papers ====
 1. '''Brandibur, O., '''Kaslik E.''', Stability Analysis for a Fractional-Order Coupled FitzHugh–Nagumo-Type Neuronal Model, Fractal and Fractional 6 (5), 257, 2022 '''
 1. '''L Bîrdac, '''E Kaslik''', '''R Mureşan''', Dynamics of a Reduced System Connected to the Investigation of an Infinite Network of Identical Theta Neurons, Mathematics 10 (18), 3245, 2022 '''
 1. '''Camino, C., Diekert, V., Dundua, B., '''Marin, M.''', Senizergues, G., REGULAR MATCHING PROBLEMS FOR INFINITE TREES, Logical Methods in Computer Science 18(1),38, 2022 '''
 1. '''GV Cozma, '''D Onchis''', C Istin, IA Petrache, Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis, Applied Sciences, 12, 6506, 2022 '''
 1. '''Culda, L.C., '''Kaslik, E.''', Neamţu, M., Stability and bifurcations in a general Cournot duopoly model with distributed time delays, Chaos, Solitons and Fractals, 162,112424, 2022 '''
 1. '''Damian L.R., Dumitrescu R, Alexa VT, Focht D, Schwartz C, Balean O, Jumanca D, Obistioiu D, Lalescu D, '''Stefaniga SA''', Berbecea A, Fratila AD, Scurtu AD, Galuscan A, Impact of Dentistry Materials on Chemical Remineralisation/Infiltration versus Salivary Remineralisation of Enamel—In Vitro Study, Materials 15 (20), 7258, 2022 '''
 1. Frincu M.''', '''Penteliuc M.''', '''Spataru A.''', A solar radiation forecast platform spanning over the edge-cloud continuum, Electronics 11 (17), 2756, 2022 '''
 1. Kaslik E''', Rădulescu IR, Stability and bifurcations in fractional-order gene regulatory networks, Applied Mathematics and Computation 421, 126916, 2022 '''
 1. Kaslik, E.''', Kokovics, E.-A., Rădulescu, A., Stability and bifurcations in Wilson-Cowan systems with distributed delays, and an application to basal ganglia interactions, Communications in Nonlinear Science and Numerical Simulation, 104,105984,2022 '''
 1. Onchis D''', Istin C, '''Hogea E''', A Neuro-Symbolic Classifier with Optimized Satisfiability for Monitoring Security Alerts in Network Traffic, Applied Sciences, 12, 22, 2022 '''
 1. Valcan S''', '''Gaianu M''', CUDA Implementation For Eye Location On Infrared Images, Scalable Computing: Practice and Experience 23 (1), 1-8, 2022 '''
 1. '''Secășan CC, '''Onchis D''', Bardan R, Sporea I, APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PRE-SCREENING PROSTATE CANCER USING SHEAR WAVE ELASTOGRAPHY MEASUREMENTS, Ultrasound in Medicine and Biology, 48, S26-S27, 2022 '''
 1. '''Secasan CC, '''Onchis D''', Bardan R, Cumpanas A, Novacescu D, Botoca C, Dema A, Sporea I, Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements, Current Oncology, 2022 '''
 1. '''Sénizergues G, '''Marin M''', Dundua B, Diekert V, Camino C, Regular matching problems for infinite trees, Logical Methods in Computer Science 18, 2022 '''
 1. '''Stolojescu-Crisan, C., '''Butunoi, B.-P.''', Crisan, C., An IoT Based Smart Irrigation System, IEEE Consumer Electronics Magazine, 11(3), pp. 50-58, 2022 '''
 1. '''Stolojescu-Crisan, C., Crisan, C., '''Butunoi, B.-P.''', Access control and surveillance in a smart home, High-Confidence Computing, 2(1),100036, 2022 '''
 1. '''Valcan, S., Gaianu, M., CUDA Implementation for Eye Location on Infrared Images, Scalable Computing, 23(1), pp. 1-8, 2022 '''

==== Conference papers ====
 1. '''Brandibur, O., '''Kaslik E.''', Stability Results for Two-Term Fractional-Order Difference Equations, International workshop on Advanced Theory and Applications of Fractional Calculus, pp 225-230, 2022 '''
 1. '''Brandibur, O., '''Kaslik, E.''', Stability Results for Two-Term Fractional-Order Difference Equations, Lecture Notes in Networks and Systems, 452 LNNS, pp. 225-230, 2022 '''
 1. Dramnesc I''', T Jebelean, E Abraham, G Kusper, S Stratulat, ARC: An Educational Project on Automated Reasoning in the Class, EdMedia+ Innovate Learning, 934-943, 2022 '''
 1. Drămnesc I''', E Ábrahám, T Jebelean, G Kusper, S Stratulat, Experiments with Automated Reasoning in the Class, International Conference on Intelligent Computer Mathematics, 287-304, 2022 '''
 1. Dramnesc I''', T Jebelean, AUTOMATED REASONING IN THE CLASS: AN EDUCATIONAL PROJECT FOR SOFTWARE ENGINEERS, INTED2022 Proceedings, 6224-6228, 2022 '''
 1. Eraşcu, M.''', Mladenovici, V.,Transferring Learning into the Workplace: Evaluating a Student-centered Learning Approach through Computer Science Students’ Lens, International Conference on Computer Supported Education, CSEDU - Proceedings 2, pp. 442-449, 2022 '''
 1. Galiș, D.''', '''Pungilă, C.''', '''Negru, V.''', A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13428 LNCS, pp. 53-58, 2022 '''
 1. Istrate G.''', '''Bonchiş C.''', '''Crãciun A.''', Compositionality and Proof Complexity, Structure Meets Power Workshop (Contributed Talks), 44, 2022 '''
 1. Istrate G.''', '''Bonchiş C.''', Being Central on the Cheap: Stability in Heterogeneous Multiagent Centrality Games, Proceedings of AAMAS'22, the 21st International Conference on Autonomous Agents and Multiagent Systems, pp. 651-659, 2022 '''
 1. Mitran M. A.''', A Theoretical Analysis on the Bound Violation Probability in Differential Evolution Algorithm, Proceedings of Numerical Methods and Applications - 10th International Conference, NMA 2022, Borovets, Bulgaria, August 22–26, 2022, LNCS, volume 13858, pp. 233-245. '''
 1. Spătaru A.''', '''Iuhasz G.''', '''Panica S.''', TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum - 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1178-1183, 2022 '''
 1. '''Slim H, Belouadah A, Popescu A, '''Onchis D''', Dataset Knowledge Transfer for Class-Incremental Learning without Memory, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp 483-492, 2022 '''

Previous years (20xx):

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2023

Journal papers

  1. Cerdà-Alabern L, Iuhasz G., Gemmi G, Anomaly detection for fault detection in wireless community networks using machine learning, Computer Communications, 2023

  2. Cerdà-Alabern, L., Iuhasz, G., Dataset for anomaly detection in a production wireless mesh community network, Data in Brief, 49, 109342, 2023

  3. Brandibur, O., Kaslik, É., Stability Properties of Multi-Term Fractional-Differential Equations, Fractal and Fractional, 7(2),117, 2023

  4. Das, S., Mahato, S.K., Mondal, A., Kaslik, E., Emergence of diverse dynamical responses in a fractional-order slow–fast pest–predator model, Nonlinear Dynamics, 2023

  5. Faragó, P., Ștefănigă, S.-A., Cordoș, C.-G., (...), Perju-Dumbravă, L., Ileșan, R.R., CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments, Bioengineering, 10(5),531, 2023

  6. Istrate, G., Bonchiş, C., A parametric worst-case approach to fairness in cooperative games with transferable utility, Theoretical Computer Science 940, pp. 189-205, 2023

  7. Iuhasz, G., Panica, S., Duma, A., Cycle Detection and Clustering for Cyber-Physical Systems, Lecture Notes in Networks and Systems, 655 LNNS, pp. 100-114, 2023

  8. Kaslik, E., Kokovics, E.-A., Stability and bifurcations in scalar differential equations with a general distributed delay, Applied Mathematics and Computation, 2023

  9. Kononova A.V., Vermetten D., Caraffini F., Mitran M.A., Zaharie D., The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation (online early), 2023

  10. Sharma, S.K., Mondal, A., Kaslik, E., Hens, C., Antonopoulos, C.G., Diverse electrical responses in a network of fractional-order conductance-based excitable Morris-Lecar systems, Scientific Reports, 13(1), https://doi.org/10.1162/evco_a_00333, 2023

  11. R. Urechiatu, M. Frincu, O. Vaduvescu, C. Boldea, Automated Asteroid Detection by using an Ensemble ML Method, Romanian Astronomical Journal.

  12. Onchis, D.M., Gillich, G.-R., Hogea, E.Tufisi, C., Neuro-symbolic model for cantilever beams damage detection, Computers in Industry, 151, 103991, 2023

  13. Miok, K., Corcoran, P., Spasić, I., The Value of Numbers in Clinical Text Classification, Machine Learning and Knowledge Extraction, 5(3), pp. 746–762, 2023

  14. T. Selea, AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning,Remote Sensing, 15(12), 2980, 2023

Conference papers

  1. E. Flondor, M. Frincu, Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation, Procs. ICCCI.

  2. M. Frincu, S. Frincu, M. Penteliuc, Challenges and Solutions in Transliterating 19th Century Romanian Texts from the Transitional to the Latin Script, Procs. LDK (http://2023.ldk-conf.org/accepted-papers/).

  3. Marin, M., Kutsia, T., Pau, C., Rukhaia, M., Enumerating All Maximal Clique-Partitions of an Undirected Graph, Electronic Proceedings in Theoretical Computer Science, EPTCS, 389, pp. 65–79, FROM Workshop, 2023.

  4. Postovan, A., Eraşcu, M., Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition, Electronic Proceedings in Theoretical Computer Science, EPTCS, 389, pp. 120–130

  5. Postovan, A., Eraşcu, M., Architecturing Binarized Neural Networks for Traffic Sign Recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14254 LNCS, pp. 87–98, 2023

  6. Mitran, M.-A., Kononova, A.V., Caraffini, F., Zaharie, D., Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite, GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, pp. 2337–2345, 2023

  7. Valcan, S., Gaianu, M., Ground Truth Data Generator in Automotive Infrared Sensor Vision Problems Using a Minimum Set of Operations, Communications in Computer and Information Science, 1864 CCIS, pp. 632–644, 2023

  8. Ionascu, A., Stefaniga, S., Gaianu, M., Synthetic Football Sprite Animations Learned Across the Pitch, Communications in Computer and Information Science, 1864 CCIS, pp. 610–618, 2023

  9. Costi, F., Onchis, D.M., Istin, C., Cozma, G.V., Explainability-Enhanced Neural Network for Thoracic Diagnosis Improvement, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14184 LNCS, pp. 35–44, 2023

  10. David, B., Eraşcu, M., Benchmarking Optimization Solvers and Symmetry Breakers for the Automated Deployment of Component-based Applications in the Cloud, CEUR Workshop Proceedings, 3458, pp. 37–44, 2023

  11. D. Petcu, Cognitive Cloud Continuum : Plenary Talk, SACI 2023 - IEEE 17th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, pp. 11–12, 2023

  12. Mitran, M.-A., A Theoretical Analysis on the Bound Violation Probability in Differential Evolution Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13858 LNCS, pp. 233–245, 2023

  13. Rochian, V., Bonchis, C., Tepeneu, I., Worker-to-Task Skill-Based Assignment, Lecture Notes in Networks and Systems, 655 LNNS, pp. 157–168, 2023

  14. Iuhasz, G., Panica, S., Duma, A., Cycle Detection and Clustering for Cyber Physical Systems, Lecture Notes in Networks and Systems, 655 LNNS, pp. 100–114, 2023

2022

Journal papers

  1. Brandibur, O., Kaslik E., Stability Analysis for a Fractional-Order Coupled FitzHugh–Nagumo-Type Neuronal Model, Fractal and Fractional 6 (5), 257, 2022

  2. L Bîrdac, E Kaslik, R Mureşan, Dynamics of a Reduced System Connected to the Investigation of an Infinite Network of Identical Theta Neurons, Mathematics 10 (18), 3245, 2022

  3. Camino, C., Diekert, V., Dundua, B., Marin, M., Senizergues, G., REGULAR MATCHING PROBLEMS FOR INFINITE TREES, Logical Methods in Computer Science 18(1),38, 2022

  4. GV Cozma, D Onchis, C Istin, IA Petrache, Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis, Applied Sciences, 12, 6506, 2022

  5. Culda, L.C., Kaslik, E., Neamţu, M., Stability and bifurcations in a general Cournot duopoly model with distributed time delays, Chaos, Solitons and Fractals, 162,112424, 2022

  6. Damian L.R., Dumitrescu R, Alexa VT, Focht D, Schwartz C, Balean O, Jumanca D, Obistioiu D, Lalescu D, Stefaniga SA, Berbecea A, Fratila AD, Scurtu AD, Galuscan A, Impact of Dentistry Materials on Chemical Remineralisation/Infiltration versus Salivary Remineralisation of Enamel—In Vitro Study, Materials 15 (20), 7258, 2022

  7. Frincu M., Penteliuc M., Spataru A., A solar radiation forecast platform spanning over the edge-cloud continuum, Electronics 11 (17), 2756, 2022

  8. Kaslik E, Rădulescu IR, Stability and bifurcations in fractional-order gene regulatory networks, Applied Mathematics and Computation 421, 126916, 2022

  9. Kaslik, E., Kokovics, E.-A., Rădulescu, A., Stability and bifurcations in Wilson-Cowan systems with distributed delays, and an application to basal ganglia interactions, Communications in Nonlinear Science and Numerical Simulation, 104,105984,2022

  10. Onchis D, Istin C, Hogea E, A Neuro-Symbolic Classifier with Optimized Satisfiability for Monitoring Security Alerts in Network Traffic, Applied Sciences, 12, 22, 2022

  11. Valcan S, Gaianu M, CUDA Implementation For Eye Location On Infrared Images, Scalable Computing: Practice and Experience 23 (1), 1-8, 2022

  12. Secășan CC, Onchis D, Bardan R, Sporea I, APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PRE-SCREENING PROSTATE CANCER USING SHEAR WAVE ELASTOGRAPHY MEASUREMENTS, Ultrasound in Medicine and Biology, 48, S26-S27, 2022

  13. Secasan CC, Onchis D, Bardan R, Cumpanas A, Novacescu D, Botoca C, Dema A, Sporea I, Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements, Current Oncology, 2022

  14. Sénizergues G, Marin M, Dundua B, Diekert V, Camino C, Regular matching problems for infinite trees, Logical Methods in Computer Science 18, 2022

  15. Stolojescu-Crisan, C., Butunoi, B.-P., Crisan, C., An IoT Based Smart Irrigation System, IEEE Consumer Electronics Magazine, 11(3), pp. 50-58, 2022

  16. Stolojescu-Crisan, C., Crisan, C., Butunoi, B.-P., Access control and surveillance in a smart home, High-Confidence Computing, 2(1),100036, 2022

  17. Valcan, S., Gaianu, M., CUDA Implementation for Eye Location on Infrared Images, Scalable Computing, 23(1), pp. 1-8, 2022

Conference papers

  1. Brandibur, O., Kaslik E., Stability Results for Two-Term Fractional-Order Difference Equations, International workshop on Advanced Theory and Applications of Fractional Calculus, pp 225-230, 2022

  2. Brandibur, O., Kaslik, E., Stability Results for Two-Term Fractional-Order Difference Equations, Lecture Notes in Networks and Systems, 452 LNNS, pp. 225-230, 2022

  3. Dramnesc I, T Jebelean, E Abraham, G Kusper, S Stratulat, ARC: An Educational Project on Automated Reasoning in the Class, EdMedia+ Innovate Learning, 934-943, 2022

  4. Drămnesc I, E Ábrahám, T Jebelean, G Kusper, S Stratulat, Experiments with Automated Reasoning in the Class, International Conference on Intelligent Computer Mathematics, 287-304, 2022

  5. Dramnesc I, T Jebelean, AUTOMATED REASONING IN THE CLASS: AN EDUCATIONAL PROJECT FOR SOFTWARE ENGINEERS, INTED2022 Proceedings, 6224-6228, 2022

  6. Eraşcu, M., Mladenovici, V.,Transferring Learning into the Workplace: Evaluating a Student-centered Learning Approach through Computer Science Students’ Lens, International Conference on Computer Supported Education, CSEDU - Proceedings 2, pp. 442-449, 2022

  7. Galiș, D., Pungilă, C., Negru, V., A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13428 LNCS, pp. 53-58, 2022

  8. Istrate G., Bonchiş C., Crãciun A., Compositionality and Proof Complexity, Structure Meets Power Workshop (Contributed Talks), 44, 2022

  9. Istrate G., Bonchiş C., Being Central on the Cheap: Stability in Heterogeneous Multiagent Centrality Games, Proceedings of AAMAS'22, the 21st International Conference on Autonomous Agents and Multiagent Systems, pp. 651-659, 2022

  10. Mitran M. A., A Theoretical Analysis on the Bound Violation Probability in Differential Evolution Algorithm, Proceedings of Numerical Methods and Applications - 10th International Conference, NMA 2022, Borovets, Bulgaria, August 22–26, 2022, LNCS, volume 13858, pp. 233-245.

  11. Spătaru A., Iuhasz G., Panica S., TUFA: A TOSCA extension for the specification of accelerator-aware applications in the Cloud Continuum - 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1178-1183, 2022

  12. Slim H, Belouadah A, Popescu A, Onchis D, Dataset Knowledge Transfer for Class-Incremental Learning without Memory, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp 483-492, 2022

Publications (last edited 2024-10-13 10:44:20 by DanielaZaharie)