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 1. '''Flondor, E.''', Donath, L., Neamtu, M., Automatic Card Fraud Detection Based on Decision Tree Algorithm, Applied Artificial Intelligence, 2024, 38(1), 2385249
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 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. '''Miok, K.''',Hidalgo Tenorio, E.,Osenova, P.,Benítez-Castro, M.-A., Robnik-Šikonja, M., Multi-aspect multilingual and cross-lingual parliamentary speech analysis, Intelligent Data Analysis, 2024, 28(1), pp. 239–260
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 1. Neamt, R.I.,Cziszter, L.T.,Saplacan, G.,..., Mizeranschi A., ..., Anton, A.S.,Ilie, D.E.,Effect of non-genetic factors on milk yield in a Romanian Spotted dual purpose breed, South African Journal of Animal Science, 2024, 54(2), pp. 186–196
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 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. '''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
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 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

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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. Miok, K.,Hidalgo Tenorio, E.,Osenova, P.,Benítez-Castro, M.-A., Robnik-Šikonja, M., Multi-aspect multilingual and cross-lingual parliamentary speech analysis, Intelligent Data Analysis, 2024, 28(1), pp. 239–260

  9. 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

  10. Neamt, R.I.,Cziszter, L.T.,Saplacan, G.,..., Mizeranschi A., ..., Anton, A.S.,Ilie, D.E.,Effect of non-genetic factors on milk yield in a Romanian Spotted dual purpose breed, South African Journal of Animal Science, 2024, 54(2), pp. 186–196

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

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

  17. 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)