Ivan Jordanov

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 16

Top Topics

Evolutionary Algorithm

Data Imputation

Texture Classification

Top Venues

Neural Comput. Appl.

Publications

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) (2022)
Daniel Asfaw, Ivan Jordanov, Lawrence Impey, Ana 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)
Anas Tukur Balarabe, Ivan Jordanov
LULC Image Classification with Convolutional Neural Network. IGARSS (2021)
Joe Wright, Ivan Jordanov
Convergence properties of quantum evolutionary algorithms on high dimension problems. Neurocomputing (2019)
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 (2019)
Alessio Petrozziello, Ivan Jordanov
Automated Deep Learning for Threat Detection in Luggage from X-Ray Images. SEA² (2019)
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello
Classifiers Accuracy Improvement Based on Missing Data Imputation. J. Artif. Intell. Soft Comput. Res. 8 (1) (2018)
Alessio Petrozziello, Ivan Jordanov
Feature Based Multivariate Data Imputation. LOD (2018)
Alessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva
Deep Learning for Continuous Electronic Fetal Monitoring in Labor. EMBC (2018)
Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger
Distributed Neural Networks for Missing Big Data Imputation. IJCNN (2018)
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) (2017)
Alessio Petrozziello, Ivan Jordanov
Column-wise Guided Data Imputation. ICCS (2017)
Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello
Supervised radar signal classification. IJCNN (2016)
Ivan Jordanov
Computational intelligence for data analytics. TAAI (2015)
Joe Wright, Ivan Jordanov
Intelligent Approaches in Locomotion - A Review. J. Intell. Robotic Syst. 80 (2) (2015)
Jonathan Wright, Ivan Jordanov
Quantum Evolutionary Methods for Real Value Problems. HAIS (2015)
Ivan Jordanov, Nedyalko Petrov
Sets with incomplete and missing data - NN radar signal classification. IJCNN (2014)
Nedyalko Petrov, Ivan Jordanov, Jon Roe
Radar Emitter Signals Recognition and Classification with Feedforward Networks. KES (2013)
Ivan Jordanov, Bruno Apolloni, Nikola K. Kasabov
Special Issue: Contemporary development of neural computation and applications. Neural Comput. Appl. 22 (1) (2013)
Nedyalko Petrov, Antoniya Georgieva, Ivan Jordanov
Self-organizing maps for texture classification. Neural Comput. Appl. 22 (7-8) (2013)
Nedyalko Petrov, Ivan Jordanov, Jon Roe
Identification of radar signals using neural network classifier with low-discrepancy optimisation. IEEE Congress on Evolutionary Computation (2013)
Frederic T. Stahl, Ivan Jordanov
An overview of the use of neural networks for data mining tasks. WIREs Data Mining Knowl. Discov. 2 (3) (2012)
Jonathan Wright, Ivan Jordanov
Intelligent approaches in locomotion. IJCNN (2012)
Antoniya Georgieva, Ivan Jordanov
A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points. Comput. Oper. Res. 37 (3) (2010)
Ivan Jordanov, Antoniya Georgieva
Feedforward neural networks for automated classification. IEEE ICCI (2010)
Antoniya Georgieva, Ivan Jordanov
Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms. Eur. J. Oper. Res. 196 (2) (2009)
Antoniya Georgieva, Ivan Jordanov
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. IEEE Trans. Neural Networks 20 (4) (2009)
Ivan Jordanov, Antoniya Georgieva
Intelligent hybrid system for pattern recognition and classification. CSTST (2008)
Antoniya Georgieva, Ivan Jordanov
Hybrid Metaheuristics for Global Optimization: A Comparative Study. HAIS (2008)
Ivan Jordanov, Antoniya Georgieva
Neural Network Learning With Global Heuristic Search. IEEE Trans. Neural Networks 18 (3) (2007)
Antoniya Georgieva, Ivan Jordanov
Supervised Neural Network Training with a Hybrid Global Optimization Technique. IJCNN (2006)
Antoniya Georgieva, Ivan Jordanov
A Hybrid Heuristic Method for Global Optimization. HIS (2005)
Ivan Jordanov, Robert Brown
Neural Network Learning Using Low-Discrepancy Sequence. Australian Joint Conference on Artificial Intelligence (1999)