Daniel Neagu
Cited by
Cited by
Fuzzy grey relational analysis for software effort estimation
M Azzeh, D Neagu, PI Cowling
Empirical Software Engineering 15 (1), 60-90, 2010
Interpreting random forest classification models using a feature contribution method
A Palczewska, J Palczewski, RM Robinson, D Neagu
Integration of reusable systems, 193-218, 2014
Information quality framework for e-learning systems
M Alkhattabi, D Neagu, A Cullen
Knowledge Management & E-Learning: An International Journal 2 (4), 340-362, 2010
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
Analogy-based software effort estimation using Fuzzy numbers
M Azzeh, D Neagu, PI Cowling
Journal of Systems and Software 84 (2), 270-284, 2011
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
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
Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets
N Ali, D Neagu, P Trundle
SN Applied Sciences 1 (12), 1-15, 2019
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
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
Data governance in predictive toxicology: A review
X Fu, A Wojak, D Neagu, M Ridley, K Travis
Journal of cheminformatics 3 (1), 1-16, 2011
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
Computational intelligence: engineering of hybrid systems
MG Negoita, D Neagu, V Palade
Springer Science & Business Media, 2005
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
Interpretation of trained neural networks by rule extraction
V Palade, DC Neagu, RJ Patton
International Conference on Computational Intelligence, 152-161, 2001
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 (8), 2967-2979, 2016
Towards a fuzzy expert system on toxicological data quality assessment
L Yang, D Neagu, MTD Cronin, M Hewitt, SJ Enoch, JC Madden, ...
Molecular informatics 32 (1), 65-78, 2013
Predictive model representation and comparison: Towards data and predictive models governance
M Makhtar, DC Neagu, M Ridley
2010 UK Workshop on Computational Intelligence (UKCI), 1-6, 2010
Software effort estimation based on weighted fuzzy grey relational analysis
M Azzeh, D Neagu, P Cowling
Proceedings of the 5th International Conference on Predictor Models in …, 2009
Software project similarity measurement based on fuzzy C-means
M Azzeh, D Neagu, P Cowling
International Conference on software process, 123-134, 2008
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