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||Previous years: ||[[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/2022|2022]] || [[Publications/2023|2023]] ||
||[[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 ==		 == 2024 ==
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 * Bouvry P., Mayer R., Muszynski J., Petcu D., Rauber A., Tempesti G., Trinh T., Varrette S., Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project, Supercomputing Frontiers and Innovations vol. 2, No. 2, 46-63, 2015
 * Carretero J., Distefano S., Petcu D., Pop, D., Rauber T., Ruenger G., Singh D.E., Energy-efficient Algorithms for Ultrascale Systems, Supercomputing Frontiers and Innovations vol 2, No. 2, 77-104, 2015
 * Da Costa G., Fahringer T., Rico-Gallego, J.-A., Grasso I., Hristov A., Karatza H.D., Lastovetsky A., Marozzo F., Petcu D., Stavrinides G. L., Talia D., Trunfio P., Astsatryan H., Exascale Machines Require New Programming Paradigms and Runtimes, Supercomputing Frontiers and Innovations vol 2, No. 2, 6-27, 2015
 * Drămnesc I., Jebelean T., Synthesis of list algorithms by mechanical proving, ''Journal of Symbolic Computation'' 69 (1), pp. 61-92, 2015
 * Dundua B., Florido M., Kutsia T., Marin, M. CLP (H): Constraint logic programming for hedges. ''Theory and Practice of Logic Programming'', 1-22, 2015.
 * Fortiş, T.-F., Munteanu, V.I., Negru, V., A taxonomic view of cloud computing services, International Journal of Computational Science and Engineering, 11 (1), pp. 17-28, 2015
 * Istrate G., Identifying almost-sorted permutations from TCP buffer dynamics. ''Scientific Annals of Computer Science'', XXV (1), pp. 133-154, 2015.
 * Istrate G., Reachability and Recurrence in a Modular Generalization of Annihilating Random Walks (and lights-out games) to hypergraphs. ''Theoretical Computer Science'', 580, pp. 83-93, 2015.
 * Istrate G., Two notes on generalized Darboux properties and related features of additive functions. ''Analele Universitatii Bucuresti Ser. Informatica, ''special issue dedicated to Professor Solomon Marcus' s 90th birthday , LXII (2), pp. 61-76, 2015.
 * Kutsia T., Marin M., Regular expression order-sorted unification and matching. ''Journal of Symbolic Computation'' 67, pp. 42-67 (2015)
 * Li J., Agathos A., Zaharie D., Bioucas-Dias J.M., Plaza A., Li X. Minimum volume simplex analysis: A fast algorithm for linear hyperspectral unmixing, ''IEEE Transactions on Geoscience and Remote Sensing'', 53 (9), 7090960, pp. 5067-5082, 2015
 * Măruşter, L., Măruşter, S., On the error estimation and T-stability of the Mann iteration, ''Journal of Computational and Applied Mathematics'' 276, pp. 110-116, 2015
 * Măruşter, S., Strong convergence of the mann iteration for demicontractive mappings, Applied Mathematical Sciences, 9 (41-44), pp. 2061-2068, 2015
 * Petcu D., Panica S., Crăciun C., Neagul M., Şandru C., Cloud resource orchestration within an open-source component-based platform as a service, '' Concurrency Computation'' 27 (9), pp. 2443-2469, 2015
 

==== Book chapters ====

 * Di Nitto E., Solberg A., Petcu D., On MODAClouds' Approach for Application Design and Execution on Multi-Clouds, M. Helfert, B. Donnelan (Eds.), European Project Space, Cases and Examples, SCITEPRESS, 2015, Portugal, ISBN: 978-989-758-034-5, 49-60
 * Pop D., Echeverria A., Petcu D., Conesa G., Enabling Open and Collaborative Public Service Advertising through Cloud Technologies, In book: Cloud Computing Technologies for Connected Government, Edition: 1, Chapter: 11, Publisher: IGI Global, Editors: Zaigham Mahmood, 268-290
 		  1. '''Culda, L.C.''', '''Kaslik, E.''', Neamţu, M.,Sîrghi, N., Dynamics of a discrete-time mixed oligopoly Cournot-type model with three time delays, Mathematics and Computers in Simulation, 2024, 226, pp. 524–539
 1. '''Flondor, E.''', Donath, L., Neamtu, M., Automatic Card Fraud Detection Based on Decision Tree Algorithm, Applied Artificial Intelligence, 2024, 38(1), 2385249
 1. Harding, L., Kaslik, E., Neamtu, M., Flavia Vesa, L., A five-dimensional unemployment model with two distributed time delays, Mathematical Methods in the Applied Sciences, 2024, 47(11), pp. 8969–8984
 1. '''Kaslik, E.''', '''Kökövics, E.-A.''', Rădulescu, A., Stability of coupled Wilson–Cowan systems with distributed delays, Chaos, Solitons and Fractals 179,114420, 2024
 1. '''Galiş, D.''', '''Pungila, C.''', '''Negru, V.''',Realtime polymorphic malicious behavior detection in blockchain-based smart contracts, Logic Journal of the IGPL, 2024, 32(2), pp. 210–223
 1. Ileșan, R.R., '''Ștefănigă, S.-A.''', '''Fleșar, R.''', ..., Perju-Dumbravă, L., Faragó, P., In Silico Decoding of Parkinson’s: Speech & Writing Analysis, Journal of Clinical Medicine, 2024, 13(18), 5573
 1. Kononova, A.V., Vermetten, D., Caraffini, F., '''Mitran, M.''', '''Zaharie, D.''', The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation, 2024, 32(1), pp. 3–48
 1. Mondal, A., '''Kaslik, E.''', Sharma, S.K., Chakraborty, C., Aziz-Alaoui, M.A.,Emergent dynamics in fractional-order Wilson–Cowan neural network systems,Chaos, Solitons and Fractals, 2024, 181, 114687
 1. Neculae, A., Barnett, Z.C., '''Miok, K.''', (...), Stoeckel, J.A., Pârvulescu, L., Living on the edge: Crayfish as drivers to anoxification of their own shelter microenvironment, PLoS ONE 19(1 January),e0287888, 2024
 1. Díaz-del-Río, F., Molina-Abril, H., Real, P., '''Onchis, D.''', Blanco-Trejo, S., Parallel homological calculus for 3D binary digital images, Annals of Mathematics and Artificial Intelligence, 2024
 1. '''Onchis, D.''', Istin, C.,'''Samuila, I.''', Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge, Machine Learning and Knowledge Extraction, 2024, 6(3), pp. 1921–1935
 1. '''Onchis, D.M.''',''' Costi, F.''', Istin, C., Secasan, C.C., Cozma, G.V., Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network, Applied Sciences (Switzerland), 2024, 14(1), 447
 1. '''Selea, T.''', AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning, Remote Sensing, 2023, 15(12), 2980
 1. '''Spătaru, A.''', Aperribay, J., CONFIGURATION OF CONTAINER DEPLOYMENTS ON THE COMPUTE CONTINUUM USING ALIEN4CLOUD, Scalable Computing, 2024, 25(1), pp. 607–613
 1. Valcan, S., '''Gaianu, M.''', Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier, Communications in Computer and Information Science, 2024, 2165 CCIS, pp. 83–93
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 * Aisenberg, J., Bonet, M.L., Buss, S., Crăciun, A., Istrate, G. Short Proofs of the Kneser-Lovász Coloring Principle. ''Proceedings of the 42nd International Colloquium on Automata, Languages, and Programming (ICALP 2015) '', Lecture Notes in Computer Science vol. 9135, pp. 44-55. 2015.
 * Casale G., Ardagna D., Artac M., Barbier F., Di Nitto E., Henry A., Iuhasz G., Joubert C., Merseguer J., Munteanu V. I., Perez J. F., Petcu D., Rossi M. , Sheridan C., Spais I., Vladusic D., DICE: Quality-Driven Development of Data-Intensive Cloud Applications, Proceedings of the 7th International Workshop on Modeling in Software Engineering (MiSE 2015), 16-17 May 2015, Florence, Italy.
 * Dogaru, R., Micota, F., Zaharie, D., Searching for Taxonomy-based Similarity Measures for Medical Data, In ''Proceedings of the 7th Balkan Conference on Informatics (BCI 2015)'', art. nr. 27, ACM Press.
 * Istrate, G., Bonchiş, C. Partition into heapable sequences, heap tableaux and a multiset extension of Hammersley’s process. ''Proceedings of the 26th Annual Symposium on Combinatorial Pattern Matching (CPM 2015)'', Lecture Notes in Computer Science 9133, pp. 261-271. Springer Verlag, 2015.

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 * Muscalagiu, I., Popa, H.E., Negru, V., Improving the performances of asynchronous search algorithms in scale-free networks using the nogood processor technique, Computing and Informatics, 34 (1), pp. 254-274, 2015

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 * Onchiş, D.M., Goţia, S.L., Enhancing dental radiographic images in spline-type spaces, ''Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014'', 7034730, pp. 559-564, 2015
 * Onchiş, D.M., Frunzăverde, D., Găianu, M., Ciubotariu, R., Multi-phase identification in microstructures images using a GPU accelerated fuzzy C-Means segmentation, ''Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014'', 7034736, pp. 602-607, 2015
 * Tirea, M., Negru, V., Intelligent stock market analysis system - A fundamental and macro-economical analysis approach, ''Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014'', 7034725, pp. 519-526, 2015		  1. '''Babuc, D.''', '''Fortiş, A.-E.''', A Customizable Intelligent System for Cervical Cytology Image Classifications Lecture Notes on Data Engineering and Communications Technologies, 87, pp. 82–93, 2024
 1. '''Butunoi, B.-P.''', Stolojescu-Crisan, C., '''Negru, V.''', Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory, Communications in Computer and Information Science, 2024, 2166 CCIS, pp. 458–469
 1. '''Butunoi, B.-P.''', Stolojescu-Crisan, C., '''Negru, V.''',Short-term glucose prediction in Type 1 Diabetes, Procedia Computer Science, 2024, 238, pp. 41–48
 1. '''Bogdan, V.''', '''Bonchiş, C.''', Orhei, C., An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion, Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, pp. 591–598, 2024
 1. '''Drămnesc, I.''', '''Jebelean, T.''', Stratulat, S., Certification of Sorting Algorithms Using Theorema and Coq, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14991 LNAI, pp. 38–56, 2024
 1. '''Eraşcu, M.''', Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory, Proceedings of the International Joint Conference on Neural Networks, 2024
 1. '''Iuhasz, G.''', '''Panica, S.''', '''Fortis, F.''', Duma, A., A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems, Lecture Notes on Data Engineering and Communications Technologies, 2024, 200, pp. 437–450
 1. Maghiar, O., Copie, A., '''Selea, T.''', '''Micota, F.''', '''Marin, M.''', '''Zaharie, D.''', Țepeneu, I.,Behaviour Analysis of Trajectory and Population-Based Metaheuristics on Flexible Assembly Scheduling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, 14754 LNCS, pp. 80–95
 1. Mitran, M.A., Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 2024, pp. 1502–1510
 1. Mozyrska, D., '''Kaslik, E.''', Wyrwas, M., Oziablo, P.,Discrete-time fractional variable order Duffing oscillator,IFAC-PapersOnLine, 2024, 58(12), pp. 395–400
 1. '''Munteanu, A.''', '''Panica, S.''', '''Iuhasz, G.''', On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment, Lecture Notes on Data Engineering and Communications Technologies, 2024, 203, pp. 191–200, 2024
 1. '''Puiu, I.-L.''', '''Fortiș, T.-F.''', The Efficiency of Building Maintenance Using Digital Twins: A Literature Review, Lecture Notes on Data Engineering and Communications Technologies, 203, pp. 201–211, 2024
 1. '''Urechiatu, R.''', '''Frincu, M.''', Improved Galaxy Morphology Classification with Convolutional Neural Networks, Universe, 2024, 10(6), 230
 
 

Previous years (20xx):

2021

2022

2023

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2024

Journal papers

  1. Culda, L.C., Kaslik, E., Neamţu, M.,Sîrghi, N., Dynamics of a discrete-time mixed oligopoly Cournot-type model with three time delays, Mathematics and Computers in Simulation, 2024, 226, pp. 524–539

  2. Flondor, E., Donath, L., Neamtu, M., Automatic Card Fraud Detection Based on Decision Tree Algorithm, Applied Artificial Intelligence, 2024, 38(1), 2385249

  3. Harding, L., Kaslik, E., Neamtu, M., Flavia Vesa, L., A five-dimensional unemployment model with two distributed time delays, Mathematical Methods in the Applied Sciences, 2024, 47(11), pp. 8969–8984

  4. Kaslik, E., Kökövics, E.-A., Rădulescu, A., Stability of coupled Wilson–Cowan systems with distributed delays, Chaos, Solitons and Fractals 179,114420, 2024

  5. Galiş, D., Pungila, C., Negru, V.,Realtime polymorphic malicious behavior detection in blockchain-based smart contracts, Logic Journal of the IGPL, 2024, 32(2), pp. 210–223

  6. Ileșan, R.R., Ștefănigă, S.-A., Fleșar, R., ..., Perju-Dumbravă, L., Faragó, P., In Silico Decoding of Parkinson’s: Speech & Writing Analysis, Journal of Clinical Medicine, 2024, 13(18), 5573

  7. Kononova, A.V., Vermetten, D., Caraffini, F., Mitran, M., Zaharie, D., The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond, Evolutionary Computation, 2024, 32(1), pp. 3–48

  8. Mondal, A., Kaslik, E., Sharma, S.K., Chakraborty, C., Aziz-Alaoui, M.A.,Emergent dynamics in fractional-order Wilson–Cowan neural network systems,Chaos, Solitons and Fractals, 2024, 181, 114687

  9. Neculae, A., Barnett, Z.C., Miok, K., (...), Stoeckel, J.A., Pârvulescu, L., Living on the edge: Crayfish as drivers to anoxification of their own shelter microenvironment, PLoS ONE 19(1 January),e0287888, 2024

  10. Díaz-del-Río, F., Molina-Abril, H., Real, P., Onchis, D., Blanco-Trejo, S., Parallel homological calculus for 3D binary digital images, Annals of Mathematics and Artificial Intelligence, 2024

  11. Onchis, D., Istin, C.,Samuila, I., Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge, Machine Learning and Knowledge Extraction, 2024, 6(3), pp. 1921–1935

  12. Onchis, D.M., Costi, F., Istin, C., Secasan, C.C., Cozma, G.V., Method of Improving the Management of Cancer Risk Groups by Coupling a Features-Attention Mechanism to a Deep Neural Network, Applied Sciences (Switzerland), 2024, 14(1), 447

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

  14. Spătaru, A., Aperribay, J., CONFIGURATION OF CONTAINER DEPLOYMENTS ON THE COMPUTE CONTINUUM USING ALIEN4CLOUD, Scalable Computing, 2024, 25(1), pp. 607–613

  15. Valcan, S., Gaianu, M., Complete Convolutional Neural Networks Environment for Computer Vision Problems With Nvidia Drive AGX Xavier, Communications in Computer and Information Science, 2024, 2165 CCIS, pp. 83–93

Conference papers

  1. Babuc, D., Fortiş, A.-E., A Customizable Intelligent System for Cervical Cytology Image Classifications Lecture Notes on Data Engineering and Communications Technologies, 87, pp. 82–93, 2024

  2. Butunoi, B.-P., Stolojescu-Crisan, C., Negru, V., Blood Glucose Prediction in Type 1 Diabetes Based on Long Short-Term Memory, Communications in Computer and Information Science, 2024, 2166 CCIS, pp. 458–469

  3. Butunoi, B.-P., Stolojescu-Crisan, C., Negru, V.,Short-term glucose prediction in Type 1 Diabetes, Procedia Computer Science, 2024, 238, pp. 41–48

  4. Bogdan, V., Bonchiş, C., Orhei, C., An Image Sharpening Technique Based on Dilated Filters and 2D-DWT Image Fusion, Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3, pp. 591–598, 2024

  5. Drămnesc, I., Jebelean, T., Stratulat, S., Certification of Sorting Algorithms Using Theorema and Coq, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14991 LNAI, pp. 38–56, 2024

  6. Eraşcu, M., Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory, Proceedings of the International Joint Conference on Neural Networks, 2024

  7. Iuhasz, G., Panica, S., Fortis, F., Duma, A., A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems, Lecture Notes on Data Engineering and Communications Technologies, 2024, 200, pp. 437–450

  8. Maghiar, O., Copie, A., Selea, T., Micota, F., Marin, M., Zaharie, D., Țepeneu, I.,Behaviour Analysis of Trajectory and Population-Based Metaheuristics on Flexible Assembly Scheduling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, 14754 LNCS, pp. 80–95

  9. Mitran, M.A., Correlation-based Analysis of the Influence of Bound Constraint Handling Methods on Population Dynamics in Differential Evolution, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, 2024, pp. 1502–1510

  10. Mozyrska, D., Kaslik, E., Wyrwas, M., Oziablo, P.,Discrete-time fractional variable order Duffing oscillator,IFAC-PapersOnLine, 2024, 58(12), pp. 395–400

  11. Munteanu, A., Panica, S., Iuhasz, G., On the Performance of STAC-FastAPI and PgSTAC Using a Cloud-Native Deployment, Lecture Notes on Data Engineering and Communications Technologies, 2024, 203, pp. 191–200, 2024

  12. Puiu, I.-L., Fortiș, T.-F., The Efficiency of Building Maintenance Using Digital Twins: A Literature Review, Lecture Notes on Data Engineering and Communications Technologies, 203, pp. 201–211, 2024

  13. Urechiatu, R., Frincu, M., Improved Galaxy Morphology Classification with Convolutional Neural Networks, Universe, 2024, 10(6), 230

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