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||<tablewidth="731px" tableheight="30px">Previous years: ||[[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]] ||[[Publications/2005|2005]] || Previous years (20xx):
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||[[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]] ||
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== Current Publications (2018) ==
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== 2023 ==
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 * Aisenberg, J, Bonet, M.L., Buss, S,, Crăciun, A., Istrate, G., Short proofs of the Kneser–Lovász coloring principle, Information and Computation, vol. 461(2), pp. 296-310, 2018.
 * Bonchiş, C., Kaslik, E., Roşu, F., HPC optimal parallel communication algorithm for the simulation of fractional-order systems, Journal of Supercomputing, pp. 1-12, 2018
 * Drăgan, I., Selea, T., Fortiş, T.-F., Towards the integration of a HPC build system in the cloud ecosystem, Advances in Intelligent Systems and Computing 611, pp. 916-925, 2018
 * Gravvanis, G.A., Morrison, J.P., Petcu, D., Lynn, T., Filelis-Papadopoulos, C.K., Special Issue: Recent trends in cloud computing, Future Generation Computer Systems 79, pp. 700-702, 2018
 * Măruşter, Ş., Măruşter, L., Sharp estimation of local convergence radius for the Picard iteration, Journal of Fixed Point Theory and Applications 20(1),28
 * Onchis, D.M., Zappalà, S., Realizable algorithm for approximating Hilbert–Schmidt operators via Gabor multipliers, Journal of Computational and Applied Mathematics 337, pp. 119-124, 2018
 * Onchis, D., Zappalà, S., Stability of spline-type systems in the Abelian case, Symmetry 10(1),7, 2017
 * Popa, C.-A., Kaslik, E., Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays, Neural Networks 99, pp. 1-18, 2018
 * Pungila, C., Negru, V., FAST: A high-performance architecture for heterogeneous big data forensics, Advances in Intelligent Systems and Computing, 649, pp. 618-627, 2018

==== Book chapters ====		  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. '''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. 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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== 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 '''
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== Recent Publications (2017) ==

==== Journal papers ====

 * Absalom, E., Okoroafor,N., Buhari, S. , Frincu, M., Junaidu, S., Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets, De Gruyter Press, Journal of Intelligent Systems, vol. 26(1), pp. 169-184, 2017

 * Balint, A.M., Balint, S., Unexpected properties of the propagations generated by some time harmonic perturbations in a 2D infinitely long straight duct satisfying different types of boundary conditions, INCAS Bulletin 9(2), pp. 17-30, 2017

 * Berinde, V., Măruşter, Ş., Rus, I.A., Saturated contraction principles for non self operators, generalizations and applications, Filomat 31(11), pp. 3391-3406, 2017

 * Brandibur, O., Kaslik, E., Stability properties of a two-dimensional system involving one Caputo derivative and applications to the investigation of a fractional-order Morris–Lecar neuronal model, Nonlinear Dynamics, Volume 90, Issue 4, 1 December 2017, Pages 2371-2386

 * Casola, V., De Benedictis, E., Eraşcu, M., Modic, J., Rak, M., Automatically Enforcing Security SLAs in the Cloud, IEEE Transactions on Services Computing 10(5),7430360, pp. 741-755, 2017

 * Ezugwu, A.E.-S., Adewumi, A.O., Frîncu, M.E., Simulated annealing based symbiotic organisms search optimization algorithm for traveling salesman problem, Expert Systems with Applications, volume 77, pages 189-210, 10.1016/j.eswa.2017.01.053, 2017

 * Ezugwu, A., Frincu, M., Adewumi, A., Buhari, S., Junaidu, S., Neural network-based multi-agent approach for scheduling in distributed systems, Concurrency and Computation: Practice and Experience, Wiley Press, vol. 29(1), online DOI: 10.1002/cpe.3887, 2017

 * Ezugwu, A.E., Okoroafor, N.A., Buhari, S.M., Frincu, M.E., Junaidu, S.B., Grid Resource Allocation with Genetic Algorithm Using Population Based on Multisets, Journal of Intelligent Systems 26(1), pp. 169-184, 2017
 
 * Frincu, M., Giurginca, I., Astronomical Alignments of Paleo-Christian Basilicas in Romania, Journal of Sociology and Anthropology, vol. 5(5), pp. 412-419, 2017

 * Iuhasz, G., Panica, S., Crăciun, C., Petcu, D., Deployment of cloud supporting services, Springer Briefs in Applied Sciences and Technology (9783319460307), pp. 69-80, 2017

 * Iuhasz, G., Jamshidi, P., Wang, W., Casale, G., Load balancing for multi-cloud, Springer Briefs in Applied Sciences and Technology (9783319460307), pp. 53-58, 2017

 * Fortiş, T.-F., Munteanu, V.I.,Topics in cloud incident management, 2017, Future Generation Computer Systems, volume 72, pages 163-164, 10.1016/j.future.2016.11.003

 * Fortiş, T.-F., Ferry, N., Cloud patterns, SpringerBriefs in Applied Sciences and Technology (9783319460307), pp. 107-112

 * Kaslik, E., Analysis of two- and three-dimensional fractional-order Hindmarsh-Rose type neuronal models. Fractional Calculus and Applied Analysis, 20(3), 2017

 * Kaslik, E., Radulescu, I.R., Dynamics of complex-valued fractional-order neural networks. Neural Networks, 89:39-49, 2017
 
 * Măruşter, Ş., Măruşter, L., Local convergence of generalized Mann iteration, Numerical Algorithms, pages 1-12, 10.1007/s11075-017-0289-x, 2017

 * Măruşter, Ş., Estimating the local radius of convergence for Picard iteration, Algorithms, 10, pages 1-10, 10.3390/a10010010, 2017
 
 * Măruşter, Ş., Thresholds of the inner steps in multi-step Newton method, Algorithms 10(3),75, 2017

 * Néda, Z., Davidova, L., Újvári, S., Istrate, G., Gambler's ruin problem on Erdős–Rényi graphs, Physica A: Statistical Mechanics and its Applications, 468, pages 147-157, 10.1016/j.physa.2016.10.056, 2017

 * Onchis-Moaca, D., Zappalá, S., Goţia, S.L., Real, P., Double hough transform for estimating the position of the mandibular canal in dental radiographs, Springer Proceedings in Mathematics and Statistics 198, pp. 317-327, 2017

 * Sun, X.-H., Frincu, M., Chelmis, C., Special Issue on Scalable Computing Systems for Big Data Applications, Journal of Parallel and Distributed Computing, 108, pp. 1-2

 * Wang, W., Casale, G., Iuhasz, G., Closing the loop between Ops and Dev, SpringerBriefs in Applied Sciences and Technology(9783319460307), pp. 95-105, 2017

 * Zhang, S., Agathos, A., Li, J., Robust Minimum Volume Simplex Analysis for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, 2017


==== Book chapters ====

 * Copie, A., Manaţe, B., Munteanu, V.I., Fortiş, T.-F., An internet of things governance architecture with applications in healthcare, The Internet of Things: Breakthroughs in Research and Practice pp. 112-136, 2017

 * E. Di Nitto, P. Matthews, D. Petcu, D., A. Solberg (Eds.), Model-Driven Development and Operation of Multi-Cloud Applications. The MODAClouds Approach, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, Springer International Publishing, eBook ISBN 978-3-319-46031-4, 2017

 * E. Di Nitto, Petcu, D., Introduction, In Model-Driven Development and Operation of Multi-Cloud Applications, Part of the series SpringerBriefs in Applied Sciences and Technology, 1-11, 2017
 
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 * Baban, A., Bonchis, C., Fikl, A., Rosu, F., Parallel simulations for fractional-order systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829605, pages 141-144, 10.1109/SYNASC.2016.033, 2017

 * Balint, S., Space-time evolution of the perturbations of a spatially developing 3D constant gas flow, AIP Conference Proceedings, 1798, 20015, 10.1063/1.4972607, 2017
 
 * Balint, S., Balint, A.M., Non Lyapunov stability of the constant spatially developing 1-D gas flow in presence of solutions having strictly positive exponential growth rate, AIP Conference Proceedings, 1798, 20012, 10.1063/1.4972604, 2017

 * Balint, A.M., Balint, S., Tanasie, L.,Non Lyapunov stability of a constant spatially developing 2-D gas flow, AIP Conference Proceedings, 1798, 20014, 10.1063/1.4972606, 2017

 * Balint, A.M., Balint, S., Szabo, R., Lyapunov stability of a spatially developing constant 2D gas flow, AIP Conference Proceedings 1798, 20013, 10.1063/1.4972605, 2017

 * Balint, A.M., Balint, S., The effect of the pressure difference across the free surface in case of a NdYAG micro fiber growth by the micro-pulling-down process, AIP Conference Proceedings 1916,040002, 2017

 * Bersani, M. M., Erascu, M., Marconi, F., Ghilardi S., and Rossi M., Formal Verification of Data-Intensive Applications through Model Checking Modulo Theories, SPIN2017, co-located to ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2017, Santa Barbara, California, USA, 2017.

 * Brandibur, O., Kaslik, E., Stability analysis of two-component incommensurate fractional-order systems and applications to the FitzHugh-Nagumo model, CMMSE 2017, Cadiz, Spania 4-8 July 2017

 * Díaz-del-Río, F., Real, P., Onchis, D., Labeling color 2D digital images in theoretical near logarithmic time, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10425 LNCS, pp. 391-402, 2017

 * Doan, D.N., Iuhasz, G., Tuning logstash garbage collection for high throughput in a monitoring platform, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 782963, pages 359-365, 10.1109/SYNASC.2016.06, 2017

 * Erascu, M., Computational Logic and Quantifier Elimination Techniques for Optimal Numerical Algorithms, Workshop Women in Logic 2017, affiliated to Thirty-Second Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), Reykjavik, Iceland, 2017.

 * Frincu, M., Draghici, R., Towards a scalable cloud enabled smart home automation architecture for demand response, IEEE PES Innovative Smart Grid Technologies Conference Europe, Part F126485, 7856235, 10.1109/ISGTEurope.2016.7856235, 2017
 
 * Frincu, M., Giurginca I., Revisiting the Neolithic Sanctuary at Parta Romania: New and Old Arhcaeoastronomical Considerations, Procs. of SEAC conference, 2017

 * Frincu, M., Architecting a hybrid cross layer dew-fog-cloud stack for future data-driven cyber-physical systems, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings 7973456, pp. 399-403, 2017

 * Ivascu, T., Dinis, A., Negru, V., Towards a multi-agent system for medical records processing and knowledge discovery. Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829639, pages 395-399, 10.1109/SYNASC.2016.067, 2017

 * Ivascu, T., Cincar, K., Dinis, A., Negru, V., Activities of daily living and falls recognition and classification from the wearable sensors data, 2017 E-Health and Bioengineering Conference, EHB 2017 7995502, pp. 627-630

 * Kaslik,E., M. Neamtu. Dynamics of a Four-Dimensional Hypothalamic-Pituitary-Adrenal Axis Model with Distributed Delays, CMMSE 2017, Cadiz, Spania, 4-8 July 2017

 * Kaslik, E., Navolan, D.B., Neamţu, M., Stability analysis of a hypothalamic-pituitary-adrenal axis model with inclusion of glucocorticoid receptor and memory, AIP Conference Proceedings, 1798, 20111, 10.1063/1.4972703, 2017

 * Mafteiu-Scai, L.O., Cornigeanu, C.A., A parallel heuristic for bandwidth reduction based on matrix geometry, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829643, pages 424-427, 10.1109/SYNASC.2016.071, 2017

 * Mafteiu-Scai, L.O., Cornigeanu, C.A. Parallel heuristics for systems of equations preconditioning, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829630, pages 319-322, 10.1109/SYNASC.2016.058, 2017

 * Oana, L., Spataru, A., Use of genetic algorithms in numerical weather prediction, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829647, pages 456-461, 10.1109/SYNASC.2016.075, 2017

 * L. Oana, M. Frincu, Benchmarking the WRF Model on Bluegene/P, Cluster, and Cloud Platforms and Accelerating Model Setup through Parallel Genetic Algorithms, Procs. 16th International Symposium on Parallel and Distributed Computing (ISPDC), 2017

 * Onchis, D.M., Zappala, S., Approximate duals of gabor-like frames based on realizable multi-window spline-type constructions, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829599, pages 99-104, 10.1109/SYNASC.2016.027, 2017

 * Onchis, D., Istin, C., Real, P., Space-variant gabor decomposition for filtering 3D medical images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10425 LNCS, pp. 455-461, 2017

 * Petcu, D., Mastering the heterogeneity in HPC as a Service, NESUS Sixth Working Group, Bayreuth, Apr 2017

 * Petcu, D., HPC as a Service: Challenges and Limitations, ISPDC 2017, Innsbruck, July 2017

 * Popa, A., Frincu, M., Chelmis, C., A distributed algorithm for the efficient computation of the unified model of social influence on massive datasets, 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, 8091084, 2017

 * Radoaca, A., Venn diagrams for multisets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829611, pages 187-194, 10.1109/SYNASC.2016.039, 2017

 * Rǎdulescu, I.R., Cândea, D., Kaslik, E., A comparison between the stability properties in a DDE model for leukemia and the modified fractional counterpart, AIP Conference Proceedings, 1798, 20127, 10.1063/1.4972719, 2017

 * Real, P., Diaz-del-Rio, F., Onchis, D., Toward parallel computation of dense homotopy skeletons for nD digital objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10256 LNCS, pp. 142-155, 2017

 * Rotovei, D., Multi-agent aspect level sentiment analysis in CRM systems, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829640, pages 400-407, 10.1109/SYNASC.2016.068, 2017
 
 * Rotovei, D., Negru, V., A methodology for improving complex sales success in CRM Systems, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017 8001179, pp. 322-327, 2017

 * Tirea, M., Negru, V., Behavioral trading system -detecting crisis, risk and stability in financial markets, Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016, 7829623, pages 279-286, 10.1109/SYNASC.2016.051, 2017
 
 * A. Vulpe, M. Frincu, Scheduling Data Stream Jobs on Distributed Systems with Background Load, Procs. 3rd International Workshop on Scalable Computing for Real-Time Big Data Applications in conjunction with IEEE/ACM CCGrid, 2017

 * Zaharie, D., Micota, F., Revisiting the Analysis of Population Variance in Differential Evolution Algorithms, CEC 2017-IEEE Congress on Evolutionary Computation, 4-8 June 2017, pages 1811-1818, 2017 		 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. Rochian, V., Bonchis, C., Tepeneu, I., Worker-to-Task Skill-Based Assignment, Lecture Notes in Networks and Systems, 655 LNNS, pp. 157–168, 2023

  13. 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)