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Ciprian Daniel Neagu, PhD
Ciprian Daniel Neagu, PhD
Professor of Computing, University of Bradford, UK
Dirección de correo verificada de bradford.ac.uk - Página principal
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Año
Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets
N Ali, D Neagu, P Trundle
SN Applied Sciences 1, 1-15, 2019
2442019
Interpreting random forest classification models using a feature contribution method
A Palczewska, J Palczewski, R Marchese Robinson, D Neagu
Integration of reusable systems, 193-218, 2014
1852014
Fuzzy grey relational analysis for software effort estimation
M Azzeh, D Neagu, PI Cowling
Empirical Software Engineering 15 (1), 60-90, 2010
1562010
Information quality framework for e-learning systems
M Alkhattabi, D Neagu, A Cullen
Knowledge management & e-learning 2 (4), 340, 2010
1442010
Assessing information quality of e-learning systems: a web mining approach
M Alkhattabi, D Neagu, A Cullen
Computers in Human Behavior 27 (2), 862-873, 2011
1252011
Social media analysis for product safety using text mining and sentiment analysis
H Isah, P Trundle, D Neagu
2014 14th UK workshop on computational intelligence (UKCI), 1-7, 2014
1242014
Machine learning algorithms: a study on noise sensitivity
E Kalapanidas, N Avouris, M Craciun, D Neagu
Proc. 1st Balcan Conference in Informatics, 356-365, 2003
1032003
Analogy-based software effort estimation using Fuzzy numbers
M Azzeh, D Neagu, PI Cowling
Journal of Systems and Software 84 (2), 270-284, 2011
962011
Interpreting random forest models using a feature contribution method
A Palczewska, J Palczewski, RM Robinson, D Neagu
2013 IEEE 14th international conference on Information Reuse & Integration …, 2013
922013
Data governance in predictive toxicology: A review
X Fu, A Wojak, D Neagu, M Ridley, K Travis
Journal of cheminformatics 3, 1-16, 2011
782011
Computational complexity analysis of decision tree algorithms
HM Sani, C Lei, D Neagu
Artificial Intelligence XXXV: 38th SGAI International Conference on …, 2018
742018
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
M Azzeh, D Neagu, P Cowling
Proceedings of the 4th international workshop on Predictor models in …, 2008
672008
The importance of scaling in data mining for toxicity prediction
P Mazzatorta, E Benfenati, D Neagu, G Gini
Journal of chemical information and computer sciences 42 (5), 1250-1255, 2002
602002
Computational intelligence: engineering of hybrid systems
MG Negoita, D Neagu, V Palade
Springer Science & Business Media, 2005
562005
Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study
M Vračko, V Bandelj, P Barbieri, E Benfenati, Q Chaudhry, M Cronin, ...
SAR and QSAR in Environmental Research 17 (3), 265-284, 2006
552006
Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology
P Mistry, D Neagu, PR Trundle, JD Vessey
Soft Computing 20, 2967-2979, 2016
502016
Interpretation of trained neural networks by rule extraction
V Palade, DC Neagu, RJ Patton
Computational Intelligence. Theory and Applications: International …, 2001
472001
Quantum ReLU activation for convolutional neural networks to improve diagnosis of Parkinson’s disease and COVID-19
L Parisi, D Neagu, R Ma, F Campean
Expert Systems with Applications 187, 115892, 2022
392022
Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems
M Soleimani, F Campean, D Neagu
Reliability Engineering & System Safety 215, 107808, 2021
392021
Towards a data quality framework for heterogeneous data
N Micic, D Neagu, F Campean, EH Zadeh
2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017
372017
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