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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 |
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1. Cerdà-Alabern L, '''Iuhasz G.''', Gemmi G, Anomaly detection for fault detection in wireless community networks using machine learning, Computer Communications, 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. 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 |
==== Conference papers ==== 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 |
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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. 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 |
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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. |
Previous years (20xx):
2023
Journal papers
Cerdà-Alabern L, Iuhasz G., Gemmi G, Anomaly detection for fault detection in wireless community networks using machine learning, Computer Communications, 2023
- Cerdà-Alabern, L., Iuhasz, G., Dataset for anomaly detection in a production wireless mesh community network, Data in Brief, 49, 109342, 2023
Brandibur, O., Kaslik, É., Stability Properties of Multi-Term Fractional-Differential Equations, Fractal and Fractional, 7(2),117, 2023
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
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
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
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
Kaslik, E., Kokovics, E.-A., Stability and bifurcations in scalar differential equations with a general distributed delay, Applied Mathematics and Computation, 2023
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
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
R. Urechiatu, M. Frincu, O. Vaduvescu, C. Boldea, Automated Asteroid Detection by using an Ensemble ML Method, Romanian Astronomical Journal.
Onchis, D.M., Gillich, G.-R., Hogea, E.Tufisi, C., Neuro-symbolic model for cantilever beams damage detection, Computers in Industry, 151, 103991, 2023
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
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
E. Flondor, M. Frincu, Analysing Android Apps Classification and Categories Validation by using Latent Dirichlet Allocation, Procs. ICCCI.
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/).
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
Brandibur, O., L Bîrdac, Camino, C., Diekert, V., Dundua, B., GV Cozma, Culda, L.C., Damian L.R., Dumitrescu R, Alexa VT, Focht D, Schwartz C, Balean O, Jumanca D, Obistioiu D, Lalescu D, Secășan CC, Secasan CC, Sénizergues G, Stolojescu-Crisan, C., Stolojescu-Crisan, C., Crisan, C.,
Brandibur, O., Brandibur, O., Slim H, Belouadah A, Popescu A, 2022
Journal papers
Kaslik E., Stability Analysis for a Fractional-Order Coupled FitzHugh–Nagumo-Type Neuronal Model, Fractal and Fractional 6 (5), 257, 2022 Conference papers
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