Harris Papadopoulos

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Alexander GammermanProfessor of Computer Science, Royal Holloway University of LondonVerified email at rhul.ac.uk
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of LondonVerified email at rhul.ac.uk
Haris HaralambousAssociate Professor Frederick UniversityVerified email at frederick.ac.cy
Andreas AndreouProfessor, Cyprus University of Technology, Dept. of Computer Engineering & InformaticsVerified email at cut.ac.cy
Professor Lazaros IliadisSch of Engineering Head of the Dep of Civil Engineering Lab of Mathematics and InformaticsVerified email at civil.duth.gr
Ilias MaglogiannisProfessor Dept. of Digital Systems University of PiraeusVerified email at unipi.gr
Andreas KonstantinidisFrederick UniversityVerified email at frederick.ac.cy
Efi PapatheocharousRISEVerified email at ri.se
Efthyvoulos KyriacouDep. of Electrical Engineering Computer Engineering and Informatics, Cyprus University of TechnologyVerified email at cut.ac.cy
Pavel Kralassociate professor, University of West BohemiaVerified email at kiv.zcu.cz
Ladislav LencUniversity of West BohemiaVerified email at gapps.zcu.cz
G AnastassopoulosProfessor of Informatics, Democritus University of ThraceVerified email at med.duth.gr
Spyros SioutasProfessor at University of PatrasVerified email at ceid.upatras.gr
Nouretdinov, I.Verified email at cs.rhul.ac.uk
Constantinos S. PattichisProf. of Computer Science, University of Cyprus & HealthXR Group, CYENS Centre of Excellence, CYPRUSVerified email at ucy.ac.cy
Rafael AlexandrouFrederick University, CyprusVerified email at frederick.ac.cy
Marios Pattichis, FEAMBESProfessor of Electrical and Computer Engineering, The University of New Mexico, AlbuquerqueVerified email at unm.edu

Harris Papadopoulos

Frederick University - Department of Computer Science and Engineering

Verified email at frederick.ac.cy - Homepage

Machine Learning Intelligent Data Analysis Data Mining Neural Networks


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Inductive confidence machines for regression H Papadopoulos, K Proedrou, V Vovk, A Gammerman Machine Learning: ECML 2002, 345-356, 2002	521	2002
Inductive conformal prediction: Theory and application to neural networks H Papadopoulos Tools in Artificial Intelligence, Chap. 18, 315-330, 2008	298	2008
Regression conformal prediction with nearest neighbours H Papadopoulos, V Vovk, A Gammerman Journal of Artificial Intelligence Research 40, 815-840, 2011	201	2011
Reliable prediction intervals with regression neural networks H Papadopoulos, H Haralambous Neural Networks 24 (8), 842-851, 2011	130	2011
Conformal prediction with neural networks H Papadopoulos, V Vovk, A Gammerman 19th IEEE International Conference on Tools with Artificial Intelligence …, 2007	104	2007
Reliable confidence measures for medical diagnosis with evolutionary algorithms A Lambrou, H Papadopoulos, A Gammerman Information Technology in Biomedicine, IEEE Transactions on 15 (1), 93-99, 2011	87	2011
Machine learning competition in immunology–Prediction of HLA class I binding peptides GL Zhang, HR Ansari, P Bradley, GC Cawley, T Hertz, X Hu, N Jojic, ... Journal of immunological methods 374 (1-2), 1-4, 2011	66	2011
Reliable diagnosis of acute abdominal pain with conformal prediction H Papadopoulos, A Gammerman, V Vovk Engineering Intelligent Systems 17 (2), 127, 2009	59	2009
Normalized nonconformity measures for regression conformal prediction H Papadopoulos, A Gammerman, V Vovk Proceedings of the IASTED International Conference on Artificial …, 2008	54	2008
Qualified predictions for large data sets in the case of pattern recognition H Papadopoulos, V Vovk, A Gammerman Proceedings of the International Conference on Machine Learning and …, 2002	54	2002
Reliable probability estimates based on support vector machines for large multiclass datasets A Lambrou, H Papadopoulos, I Nouretdinov, A Gammerman Artificial Intelligence Applications and Innovations: AIAI 2012 …, 2012	53	2012
Well-calibrated confidence measures for multi-label text classification with a large number of labels L Maltoudoglou, A Paisios, L Lenc, J Martínek, P Král, H Papadopoulos Pattern Recognition 122, 108271, 2022	50	2022
Inductive venn prediction A Lambrou, I Nouretdinov, H Papadopoulos Annals of Mathematics and Artificial Intelligence 74, 181-201, 2015	45	2015
Real-time construction demolition waste detection using state-of-the-art deep learning methods; single–stage vs two-stage detectors D Demetriou, P Mavromatidis, PM Robert, H Papadopoulos, MF Petrou, ... Waste Management 167, 194-203, 2023	40	2023
Reliable probabilistic classification with neural networks H Papadopoulos Neurocomputing 107, 59-68, 2013	38	2013
Android malware detection with unbiased confidence guarantees H Papadopoulos, N Georgiou, C Eliades, A Konstantinidis Neurocomputing 280, 3-12, 2018	37	2018
Measures of Complexity V Vovk, H Papadopoulos, A Gammerman Springer, 2015	33	2015
Artificial Intelligence Applications and Innovations: 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I LS Iliadis, I Maglogiannis, H Papadopoulos Springer, 2012	31*	2012
Reliable Confidence Intervals for Software Effort Estimation. H Papadopoulos, E Papatheocharous, AS Andreou AIAI workshops, 211-220, 2009	31	2009
24-Hour neural network congestion models for high-frequency broadcast users H Haralambous, H Papadopoulos IEEE Transactions on Broadcasting 55 (1), 145-154, 2009	30	2009

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