ALEXANDRU DOROBANÅ¢IU, REMUS BRAD – A novel contextual memory algorithm for edge detection, Pattern Analysis and Applications, Springer, SRI 1.410, 2019, DOI: https://doi.org/10.1007/s10044-019-00808-0.
C. BÄNCIOIU, M. VINÈAN, L. VINÅ¢AN – Efficiency Optimizations for Koller and Sahamiâs Feature Selection Algorithm, Romanian Journal of Information Science and Technology (ROMJIST), Vol. 22, No. 1, pp. 85-99, ISSN: 1453-8245, Romanian Academy, Bucharest, 2019, IF = 0,288, SRI (AIS)=0,082.
ARPAD GELLERT , MARIA VINTAN , LUCIAN VINTAN – Perceptron-Based Selective Load Value Predictionin a Multicore Architecture, Romanian Journal of Information Science and Technology, Volume 22, Number 3â4, pp. 215â227, ISSN: 1453-8245, 2019, IF = 0,288, SRI (AIS)=0,082.
ARPAD GELLERT, ADRIAN FLOREA, UGO FIORE, PAOLO ZANETTI, LUCIAN VINTAN – Performance and Energy Optimisation in CPUs through Fuzzy Knowledge Representation, Information Sciences, Vol. 476, ISSN 0020-0255, IF=4.832, DOI 10.1016/j.ins.2018.03.029, pages 375-391, February 2019.
ARPADGELLERT, ADRIAN FLOREA, UGO FIORE, FRANCESCO PALMIERI, PAOLO ZANETTI – A study on forecasting electricity production and consumption in smart cities and factories, International Journal of Information Management, Elsevier, DOI 10.1016/j.ijinfomgt.2019.01.006, ISSN 0268-4012, IF=5.063, Vol. 49, pages 546-556, December 2019.
ARPAD GELLERT AND REMUS BRAD – Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains, Signal, Image and Video Processing, Springer London, 12(2), pp. 315-322, DOI:10.1007/s11760-017-1160-1, SRI 1.643, 2018.
CHIÈ R., FLOREA A., BUDULECI C., VINÈAN L. â Multi-Objective Optimization for an Enhanced Multi-Core SNIPER Simulator, Proceedings of The Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science, Volume 19, Number 1, pp. 85-93, ISSN 1454-9069, Bucharest, 2018.
ARPAD GELLERT, LUCIAN VINTAN – A Multicore Architecture with Selective Load Value Prediction, Proceedings of the Romanian Academy, Series A, Vol. 19, No. 4, ISSN 1454-9069, IF=1.752, pages 597-604, November 2018.
VINÅ¢AN L., MORARIU D., CREÅ¢ULESCU R., VINÅ¢AN M. â An Extension of the VSM Documents Representation, International Journal of Computers, Communications & Control, ISSN 1841â9836, Vol. 12, Issue 3, pp. 403 – 414, IF=1,374, WOS:000402475300008, DOI: http://dx.doi.org/10.15837/ijccc.2017.3, 2017.
CHIÈ R., VINÈAN L. â Developing Automatic Multi-Objective Optimization Methods for Complex Actuators, Advances in Electrical and Computer Engineering, Vol. 17, Issue 4, pp. 89-98, ISSN: 1582-7445, IF= 0,595, SRI = 0,170, DOI: 10.4316/AECE.2017.04011, 2017;
L. N. VINÅ¢AN â Towards Synergic Meta-Algorithmic Approaches in Complex Computing Systems, Romanian Journal of Information Science and Technology (ROMJIST), Vol. 20, No. 3, pp. 241-255, ISSN: 1453-8245, Romanian Academy, Bucharest, IF = 0,422, SRI=0,295. WOS:000418495500007, 2017.
ARPAD GELLERT – Web Access Mining through Dynamic Decision Trees with Markovian Features, Journal of Web Engineering, Vol. 16, Issue 5-6, ISSN 1540-9589 (ISI Thomson Journals, IF=0.622, SRI=0.217), pages 524-536, USA, 2017.
ARPAD GELLERT AND REMUS BRAD – Context-based prediction filtering of impulse noise images, IET Image Processing, Volume 10, Issue 6, p. 429 â437, DOI: 10.1049/iet-ipr.2015.0702 , Online ISSN 1751-9667, SRI 1.401.
ARPAD GELLERT, ADRIAN FLOREA – Web Prefetching through Efficient Prediction by Partial Matching, World Wide Web, Vol. 19, Issue 5, ISSN 1386-145X (ISI Thomson Journals, IF=1.405, SRI=1.083), DOI 10.1007/s11280-015-0367-8, pages 921-932, USA, 2016.
OLIVEIRAÂLIMA J.A., MORAIS R., MARTINS J.F., FLOREA A., LIMA C. – Load forecast on intelligent buildings based on temporary occupancy monitoring, Energy and Buildings, Volume 116, Pages 512â521, DOI 10.1016/j.enbuild.2016.01.028, IF: 3.617, SRI=2.058, 2016.
JAHR R., CALBOREAN H., VINÈAN L., UNGERER T. – Finding NearÂPerfect Parameters for Hardware and Code Optimizations with Automatic MultiÂObjective Design Space Explorations, Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe.2975, Volume 27, Issue 9, pp. 2196Â2214, Print ISSN 1532Â0626, Online ISSN: 1532Â0634, John Wiley & Sons, 2015.
VINÈAN L., CHIS R., MD. ALI ISMAIL, COTOFANA C. â Improving Computing Systems Automatic MultiÂObjective Optimization through MetaÂOptimization, IEEE Transactions on ComputerÂAided Design of Integrated Circuits and Systems, ISSN: 0278Â0070, DOI 10.1109/TCAD.2015.2501299, IF = 1,203, SRI = 1,342, 2015.
JAHR R., CALBOREAN H., VINÈAN L., UNGERER T. – Finding Near-Perfect Parameters for Hardware and Code Optimizations with Automatic Multi-Objective Design Space Explorations, Concurrency and Computation: Practice and Experience, doi: 10.1002/cpe.2975, Volume 27, Issue 9 (June 25), pp. 2196-2214, Print ISSN 1532-0626, Online ISSN: 1532-0634, John Wiley & Sons, 2015; see http://webspace.ulbsibiu.ro/lucian.vintan/html/CCPE.pdf.
VINÈAN L., CHIS R., MD. ALI ISMAIL, COTOFANA C. â Improving Computing Systems Automatic Multi-Objective Optimization through Meta-Optimization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN: 0278-0070, DOI 10.1109/TCAD.2015.2501299, 2015 â see http://webspace.ulbsibiu.ro/lucian.vintan/html/TCAD.pdf.
R. CRETULESCU, A. DAVID, D. MORARIU, L. VINÅ¢AN – Part-Of-Speech Labeling for Reuters Database, Proceedings of The 19-th International Conference on System Theory, Control and Computing, ISBN 978-1-4799-8481-7, pp. 117-122, Cheile Gradistei – Fundata Resort, Romania (Romania), IEEE, October 14 – 16, 2015, DOI: 10.1109/ICSTCC.2015.7321279, v. http://www.aie.ugal.ro/icstcc2015.
RALUCA VREJA AND REMUS BRAD – Image Inpainting Methods Evaluation and improvement, The Scientific World Journal, Article ID 937845, DOI:10.1155/2014/937845, Impact Factor: 1.73, 2014.
Lucian N. VINÅ¢AN â MultiÂObjective Optimization of Advanced Computing Systems: Some Achievements and Fertile Work Directions, Romanian Journal of Information Science and Technology (ROMJIST), vol. 17, no. 2, pp. 121Â133, ISSN: 1453Â8245, Romanian Academy, Bucharest, 2014.
ARPAD GELLERT, ADRIAN FLOREA, Web Page Prediction Enhanced with Confidence Mechanism, Journal of Web Engineering, Vol. 13, Issue 5Â6, ISSN: 1540Â9589, IF=0.361, SRI=0.313, pages 507Â524, USA, November 2014.
Lucian N. VINÅ¢AN â Multi-Objective Optimization of Advanced Computing Systems: Some Achievements and Fertile Work Directions, Romanian Journal of Information Science and Technology (ROMJIST), vol. 17, no. 2 (aprilie â iunie), pp. 121-133, ISSN: 1453-8245, Romanian Academy, Bucharest, 2014. Disponibil online pe site-ul revistei: v. http://www.imt.ro/romjist/Volum17/Number17_2/pdf/LVintan2014.pdf.
Ion MIRONESCU, Lucian VINÅ¢AN, Colored Petri Net Modelling of Task Scheduling on a Heterogeneous Computational Node, Proceedings of 10th International Conference on Intelligent Computer Communication and Processing (ICCP 2014), ISBN 978-1-4799-6568-7, pp. 323-330, IEEE Computer Society Press, Cluj-Napoca, September 4 – 6 2014.
Radu CHIS, Lucian VINÅ¢AN, Multi-Objective Hardware-Software Co-Optimization for the SNIPER Multi-Core Simulator, Proceedings of 10th International Conference on Intelligent Computer Communication and Processing (ICCP 2014), ISBN 978-1-4799-6568-7, pp. 3-9, IEEE Computer Society Press, Cluj-Napoca, September 4 – 6 2014, see http://webspace.ulbsibiu.ro/lucian.vintan/html/iccp.pdf.
R. CRETULESCU, A. DAVID, D. MORARIU, L. VINÅ¢AN – Part of Speech Tagging with Naive Bayes Methods, Proceedings of The 18-th International Conference on System Theory, Control and Computing, Sinaia (Romania), ISBN 978-1-4799-4602-0, pp. 452-457, IEEE, October 17 – 19, 2014, v. http://www.ace.tuiasi.ro/icstcc2014/index.html.
C. RADU, MD. S. MAHBUB, L. VINÈAN Â Developing DomainÂKnowledge Evolutionary Algorithms for NetworkÂonÂChip Application Mapping, Microprocessors and Microsystems, vol. 37, issue 1, pp. 65Â78, ISSN: 0141Â9331, Elsevier, February 2013, IF=0.592, 2013.
MORARIU D., CRETULESCU R., VINTAN L. â Vector versus Tree Model Representation in Document Clustering, Romanian Journal of Information Science and Technology (ROMJIST), vol. 16, no. 1, pp. 81-102, ISSN: 1453-8245, Romanian Academy, Bucharest, 2013. Disponibil online la adresa: http://www.imt.ro/romjist/Volum16/Number16_1/pdf/06-LVintan.pdf.
VINTAN L. – Degrees of Contradiction for Fuzzy Logic Rules implementing Computer Architecture Ontologies (Grade de contradictie pentru ontologii de domeniu reprezentate prin logici fuzzy), Revista RomânÄ de InformaticÄ Åi AutomaticÄ, ISSN: 1220-1758, Editura ICI, Bucuresti, vol. 23, nr. 3, pg. 23-26, 2013, v. http://rria.ici.ro/ria2013_3/art02.pdf.
Ion D. MIRONESCU, Lucian VINTAN, Performance Prediction for Parallel Applications Running on HPC Architectures through Petri Net Modelling and Simulation, 9th International Conference on Intelligent Computer Communication and Processing (ICCP 2013), ISBN 978-1-4799-1493-7, pp. 276-270, IEEE Computer Society Press, Cluj-Napoca, September 5 – 7 2013.
Radu CHIS, Maria VINTAN, Lucian VINTAN, Multi-objective DSE Algorithmsâ Evaluations on Processor Optimization, Proceedings of 9th International Conference on Intelligent Computer Communication and Processing (ICCP 2013), ISBN 978-1-4799-1493-7, pp. 27-34, IEEE Computer Society Press, Cluj-Napoca, September 5 – 7 2013.
C. RADU, MD. S. MAHBUB, L. VINÈAN – Developing Domain-Knowledge Evolutionary Algorithms for Network-on-Chip Application Mapping, Microprocessors and Microsystems, vol. 37, issue 1, pp. 65-78, ISSN: 0141-9331, Elsevier, February 2013; see http://webspace.ulbsibiu.ro/lucian.vintan/html/CCPE.pdf.
H. CALBOREAN, R. JAHR, UNGERER T., L. VINTAN â A Comparison of Multi-Objective Algorithms for the Automatic Design Space Exploration of a Superscalar System, Advances in Intelligent Control Systems and Computer Science (Book title). Advances in Intelligent Systems and Computing (Series title), Volume 187, pp. 489-502, ISBN 978-3-642-32547-2, ISSN 2194-5357, Springer Berlin Heidelberg.
C. RADU, L. VINTAN – Domain-Knowledge Optimized Simulated Annealing for Network-on-Chip Application Mapping, Advances in Intelligent Control Systems and Computer Science (Book title). Advances in Intelligent Systems and Computing (Series title), Volume 187, pp. 473-487, ISBN 978-3-642-32547-2, ISSN 2194-5357, Springer Berlin Heidelberg.
R. G. CREÅ¢ULESCU, D. I. MORARIU, M. BREAZU, L. N. VINÅ¢AN – Weights Space Exploration using Genetic Algorithms for Meta-classifier in Text Document Classification, Studies in Informatics and Control, Vol. 21, Issue 2, pp. 147-154, ISSN: 1220-1766, National Institute for Research and Development in Informatics (ICI), Bucharest, 2012 (cotata ISI Thomson Reuters, IF=0.671 in 2010 â v. http://sic.ici.ro/sic2012_2/index.html).
JAHR R., CALBOREAN H., VINTAN L., UNGERER T. – Boosting Design Space Explorations with Existing or Automatically Learned Knowledge, The 16-th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems and Dependability and Fault Tolerance (MMB/DFT 2012), March 19-21, 2012, Kaiserslautern, Germany; Lecture Notes in Computer Science, 2012, Volume 7201/2012, pp. 221-235, Springer-Verlag Berlin Heidelberg, ISSN 0302-9743, ISBN 978-3-642-28539-4, DOI: 10.1007/978-3-642-28540-0_16.
NUSRAT SHARMIN AND REMUS BRAD – Optimal Filter Estimation for LucasÂKanade Optical Flow, Sensors, vol. 12(9), pp. 12694Â12709, 2012, Impact Factor: 1.953, SRI 1.16146
R. G. CREÅ¢ULESCU, D. I. MORARIU, M. BREAZU, L. N. VINÅ¢AN Â Weights Space Exploration using Genetic Algorithms for MetaÂclassifier in Text Document Classification, Studies in Informatics and Control, Vol. 21, Issue 2, pp. 147Â154, ISSN: 1220Â1766, Bucharest, IF=0.671, 2012.
A. GELLERT, H. CALBOREAN, L. VINÅ¢AN, A. FLOREA Â MultiÂObjective Optimizations for a Superscalar Architecture with Selective Value Prediction, IET Computers & Digital Techniques, United Kingdom, Vol. 6, Issue 4, pp. 205Â213, ISSN: 1751Â8601, IF=0.284, SRI=0.36945), pages 205Â-213, 2012.
CRETULESCU R., MORARIU D., VINTAN L., COMAN I. D. – An Adaptive Meta-classifier for Text Documents, The 16-th International Conference on Information Systems Analysis and Synthesis: ISAS 2010, vol. 2, pp. 372-377, ISBN-13: 978-1-934272-88-6, Orlando Florida, USA, April 6th â 9th 2010
RADU C., CALBOREAN H., Adrian Florea, Arpad Gellert, VINTAN L. – Exploring some multicore research opportunities. A first attempt, Fifth International Summer School on Advanced Computer Architecture and Compilation for Embedded Systems (ACACES), Academic Press, Ghent, Belgium, pp. 151-154, ISBN 978-90-382-1467-2, Terrassa (Barcelona), Spain, July 2009.
VINTAN L., FLOREA A., GELLERT A. – Random Degrees of Unbiased Branches, Proceedings of The Romanian Academy, Series A, Vol. 9, No. 3, ISSN 1454-9069, Bucharest, 2008 (ISI Thomson Journals).
MORARIU D., VINTAN L. – Aspects concerning SVM Methodâs Scalability, Studies in Computational Intelligence (SCI). Advances in Intelligent and Distributed Computing, Volume 78, pp. 125-134, Springer-Verlag Berlin Heidelberg, ISSN 1860-949X, ISBN 978-3-540-74929-5, 2008.
FLOREA A., RADU C., CALBOREAN H., CRAPCIU A., GELLERT A., VINTAN L. –Designing an Advanced Simulator for Unbiased Branchesâ Prediction, The 9-th International Symposium on Automatic Control and Computer Science (SACCS 2008), ISSN 1843-665X, Iasi, Romania, November 16 – 18, 2007 (republicat in forma revazuta si adaugita in Bul. St. al Univ. âGh Asachiâ Iasi).
GELLERT A., FLOREA A., VINTAN M., EGAN C., VINTAN L. – Unbiased Branches: An Open Problem, Lecture Notes in Computer Science, Advances in Computer Systems Architecture, vol. 4697, pp. 16-27, Springer-Verlag, ISSN 0302-9743, ISBN 978-3-540-74308-8, Berlin / Heidelberg, 2007.
MORARIU D., VINTAN L., TRESP V. – Feature Selection Methods for an Improved SVM Classifier, Enformatika Journal, Transactions on Engineering, Computing and Technology, vol. 14, Aug. 2006, ISBN/ISSN 1305-5313, (World Enformatika Conference, 3rd International Conference on Intelligent Systems, ICIS 2006), Prague, Czech Republik, 2006
VINTAN L., GELLERT A., FLOREA A., OANCEA M., EGAN C. – Understanding Prediction Limits through Unbiased Branches, Lecture Notes in Computer Science, Advances in Computer Systems Architecture, vol. 4186, pp. 480-487, Springer-Verlag, ISSN 0302-9743, ISBN 978-3-540-40056-1, Berlin / Heidelberg, 2006 (acreditata ISI Thomson Journals, JR=0.40, JIF=0.515 in 2002, AJIF=0.514 in 2004 vezi http://www.isinet.com/ )
OANCEA M., GELLERT A., FLOREA A., VINTAN L. – Analyzing Branch Prediction Context Influence, Advanced Computer Architecture and Compilation for Embedded Systems, (ACACES 2006), ISBN 90 382 0981 9, L’Aquila, Italy, July 2006
GELLERT A., VINTAN L. – Person Movement Prediction Using Hidden Markov Models, Studies in Informatics and Control, Vol.15, No. 1, ISSN: 1220-1766, National Institute for Research and Development in Informatics, Bucharest, March 2006
VINTAN L., FLOREA A., GELLERT A. – Focalizing Dynamic Value Prediction to CPU’s Context, IEE Proceedings. Computers & Digital Techniques, United Kingdom, Vol. 152, No. 4, ISSN 1350-2387, July 2005 (ISI Thomson Journals)
VINTAN L., GELLERT A., FLOREA A. – Value Prediction Focalized on CPU Registers, Advanced Computer Architecture and Compilation for Embedded Systems, (ACACES 2005), Academia Press, ISBN 90 382 0802 2, pages 181-184, Ghent, Belgium, July 2005.
FLOREA A., VINTAN L. – Advanced Techniques for improving Indirect Branch Prediction Accuracy, Proceedings 19th European Conference on modelling and simulation (formerly referred to as ESM 2005), ISBN 1-84233-112-4 (set) / ISBN 1-84233-113-2 (CD), Riga, Latvia, June 1st – 4th , 2005
VINTAN L., GELLERT A., FLOREA A. â Register Value Prediction using Metapredictors, Proceedings of the 8-th International Symposium on Automation Control and Computer Science (SACCS 2004), CD, ISBN 973-621-086-3, Iasi, Romania, October 22-23, 2004 (republicata in Buletinul stiintific, seria Calculatoare, Iasi, 2004)
VINTAN L., GELLERT A., UNGERER T., PETZOLD J. – Person Movement Prediction Using Neural Networks, KI 2004 Workshop on Modeling and Retrieval of Context, University of Ulm, Germany, ISSN 1613-0073, September 2004
EGAN C., STEVEN G., QUICK P., ANGUERA R., VINTAN L. – Two-Level Branch Prediction using Neural Networks, Journal of Systems Architecture, vol. 49, issues 12-15, pg.557-570, ISSN: 1383-7621, Elsevier, Amsterdam ( ISI Thomson Journals, see http://www.isinet.com/), December 2003 (http://www.elsevier.com/locate/sysarc)
EGAN C., STEVEN G., VINTAN L. – Cached Two-Level Adaptive Branch Predictors with Multiple Stages, “Lecture Notes in Computer Science”, vol. 2299, Springer-Verlag, ISSN 0302-9743, ISBN 3-540-43409-7, pg. 179-191, Berlin Heidelberg, 2002 (ISI Thomson Journals, http://www.isinet.com/ )
STEVEN G., EGAN C., SHIM, VINTAN L. – A Cost-Effective Two-Level Adaptive Branch Predictor, Proceedings of The 13rd International Conference on Control Systems and Computer Science (CSCS 13), Bucharest, Romania, May 2001
VINTAN L. – Towards a Powerful Dynamic Branch Predictor, Romanian Journal of Information Science and Technology (ROMJIST), vol.3, nr.3, pg.287-301, Romanian Academy, Bucharest, 2000
VINTAN L. – Towards a High Performance Neural Branch Predictor, Proceedings of The International Joint Conference on Neural Networks – IJCNN ’99 (CD-ROM, ISBN 0-7803-5532-6), Washington DC, USA, 10-16 July, 1999
VINTAN L., EGAN C. – Extending Correlation in Branch Prediction Schemes, Proceedings of 25th Euromicro International Conference, Milano, Italy, 8-10 September, IEEE Computer Society Press, ISBN 0-7695-0321-7, 1999
