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ORCIDIvan Jordanov
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2020 – today
- 2022
[j13]Alessio Petrozziello
, Luigi Troiano, Angela Serra, Ivan Jordanov, Giuseppe Storti, Roberto Tagliaferri, Michele La Rocca:
Deep learning for volatility forecasting in asset management. Soft Comput. 26(17): 8553-8574 (2022)- [c20]Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana I. L. Namburete, Raymond Lee, Antoniya Georgieva:
Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance. LOD (1) 2022: 459-469 - 2021
- [c19]Anas Tukur Balarabe, Ivan Jordanov:
LULC Image Classification with Convolutional Neural Network. IGARSS 2021: 5985-5988
2010 – 2019
- 2019
- [j12]Alessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva:
Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access 7: 112026-112036 (2019) - [j11]Joe Wright, Ivan Jordanov:
Convergence properties of quantum evolutionary algorithms on high dimension problems. Neurocomputing 326-327: 82-99 (2019) - [c18]Alessio Petrozziello, Ivan Jordanov:
Automated Deep Learning for Threat Detection in Luggage from X-Ray Images. SEA² 2019: 505-512 - 2018
- [j10]Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello:
Classifiers Accuracy Improvement Based on Missing Data Imputation. J. Artif. Intell. Soft Comput. Res. 8(1): 31-48 (2018) - [c17]Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva:
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC 2018: 5866-5869 - [c16]Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger:
Distributed Neural Networks for Missing Big Data Imputation. IJCNN 2018: 1-8 - [c15]Alessio Petrozziello, Ivan Jordanov:
Feature Based Multivariate Data Imputation. LOD 2018: 26-37 - 2017
- [j9]Joe Wright, Ivan Jordanov:
Quantum inspired evolutionary algorithms with improved rotation gates for real-coded synthetic and real world optimization problems. Integr. Comput. Aided Eng. 24(3): 203-223 (2017) - [c14]Alessio Petrozziello, Ivan Jordanov:
Column-wise Guided Data Imputation. ICCS 2017: 2282-2286 - 2016
- [c13]Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello:
Supervised radar signal classification. IJCNN 2016: 1464-1471 - [p1]Ivan Jordanov, Nedyalko Petrov:
Intelligent Radar Signal Recognition and Classification. Recent Advances in Computational Intelligence in Defense and Security 2016: 101-135 - 2015
- [j8]Joe Wright, Ivan Jordanov:
Intelligent Approaches in Locomotion - A Review. J. Intell. Robotic Syst. 80(2): 255-277 (2015) - [c12]Jonathan Wright, Ivan Jordanov:
Quantum Evolutionary Methods for Real Value Problems. HAIS 2015: 282-293 - [c11]Ivan Jordanov:
Computational intelligence for data analytics. TAAI 2015: 35 - 2014
- [c10]Ivan Jordanov, Nedyalko Petrov:
Sets with incomplete and missing data - NN radar signal classification. IJCNN 2014: 218-224 - 2013
- [j7]Ivan Jordanov, Bruno Apolloni, Nikola K. Kasabov:
Special Issue: Contemporary development of neural computation and applications. Neural Comput. Appl. 22(1): 1-2 (2013) - [j6]Nedyalko Petrov, Antoniya Georgieva, Ivan Jordanov:
Self-organizing maps for texture classification. Neural Comput. Appl. 22(7-8): 1499-1508 (2013) - [c9]Nedyalko Petrov, Ivan Jordanov, Jon Roe:
Identification of radar signals using neural network classifier with low-discrepancy optimisation. IEEE Congress on Evolutionary Computation 2013: 2658-2664 - [c8]Nedyalko Petrov, Ivan Jordanov, Jon Roe:
Radar Emitter Signals Recognition and Classification with Feedforward Networks. KES 2013: 1192-1200 - 2012
- [j5]Frederic T. Stahl, Ivan Jordanov:
An overview of the use of neural networks for data mining tasks. WIREs Data Mining Knowl. Discov. 2(3): 193-208 (2012) - [c7]Jonathan Wright, Ivan Jordanov:
Intelligent approaches in locomotion. IJCNN 2012: 1-8 - 2010
- [j4]Antoniya Georgieva, Ivan Jordanov:
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points. Comput. Oper. Res. 37(3): 456-469 (2010) - [c6]Ivan Jordanov, Antoniya Georgieva:
Feedforward neural networks for automated classification. IEEE ICCI 2010: 578-582 - [e4]Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6276, Springer 2010, ISBN 978-3-642-15386-0 [contents] - [e3]Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6277, Springer 2010, ISBN 978-3-642-15389-1 [contents] - [e2]Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6278, Springer 2010, ISBN 978-3-642-15392-1 [contents] - [e1]Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain:
Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part IV. Lecture Notes in Computer Science 6279, Springer 2010, ISBN 978-3-642-15383-9 [contents]
2000 – 2009
- 2009
- [j3]Antoniya Georgieva, Ivan Jordanov:
Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. Eur. J. Oper. Res. 196(2): 413-422 (2009) - [j2]Antoniya Georgieva, Ivan Jordanov:
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. IEEE Trans. Neural Networks 20(4): 675-685 (2009) - 2008
- [c5]Antoniya Georgieva, Ivan Jordanov:
Hybrid Metaheuristics for Global Optimization: A Comparative Study. HAIS 2008: 298-305 - [c4]Ivan Jordanov, Antoniya Georgieva:
Intelligent hybrid system for pattern recognition and classification. CSTST 2008: 19-24 - 2007
- [j1]Ivan Jordanov, Antoniya Georgieva:
Neural Network Learning With Global Heuristic Search. IEEE Trans. Neural Networks 18(3): 937-942 (2007) - 2006
- [c3]Antoniya Georgieva, Ivan Jordanov:
Supervised Neural Network Training with a Hybrid Global Optimization Technique. IJCNN 2006: 3401-3408 - 2005
- [c2]Antoniya Georgieva, Ivan Jordanov:
A Hybrid Heuristic Method for Global Optimization. HIS 2005: 503-505
1990 – 1999
- 1999
- [c1]Ivan Jordanov, Robert Brown:
Neural Network Learning Using Low-Discrepancy Sequence. Australian Joint Conference on Artificial Intelligence 1999: 255-267
Coauthor Index
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