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researcher

Daniel Neagu

Professor of Computing

Faculty/Dept/School Department of Computer Science
(Faculty of Engineering and Informatics)
Emaild.neagu@bradford.ac.uk
Telephone +441274 235704

Biography

Daniel Neagu was appointed Professor of Computing with the University of Bradford in 2011: he joined the Department of Computer Science as Lecturer in 2002, and was promoted to Senior Lecturer in 2005. He has previously served as Associate Professor at the Department of Computer Science & Engineering, University of Galati, Romania (1993-2001). Daniel received his PhD Cum Laude in Computer Science (2000) at the University of Galati after he obtained a 5-year MEng degree (1990) in Automation and Computer Engineering (Distinction) from Technical University of Iasi and a BSc (Hons) 1st class degree (1995) in Information Technology from University of Galati. He spent a research period (1999) at University of Patras, Greece, with Human Computer Interaction Group led by Professor Nikolaos Avouris. After successfully defending his Ph.D. thesis entitled Using Artificial Neural Networks in Fuzzy Reasoning, Daniel was appointed Research Fellow at Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy (2001-2002), where he joined the FP5 European Research Network IMAGETOX (Intelligent Modelling Algorithms for General Evaluation of TOXicities) working with Professor Giuseppina Gini.

His research focuses on Artificial Intelligence techniques applied in (Automotive) Engineering, Product Safety, Toxicology, Healthcare, Online Social Networks. Daniels research has been motivated by his desire to advance the AI field by studying systems from rigorous computational perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of experts knowledge and digital information. He strongly believes Computer Science is now a media for knowledge representation, exchange and retrieval to serve multidisciplinary objectives and purposes. Mining information to identify key attributes and making unknown, hidden, distributed information accessible to people plays a vital role in the progress of science and technology, thus Daniels work addresses applications as diverse as health, security and entertainment.

Daniel leads the University of Bradford's Artificial Intelligence Research (AIRe) Group. He is member of Association for Computing Machinery (ACM), IEEE Computer Society and Computational Intelligence Society, British Computer Society (BCS The Chartered Institute for IT), and served as committee member of the BCS SGAI (Specialist Group on Artificial Intelligence) from 2011-2013. Daniel Neagu was the General Chair of the 4th IEEE International Conference on Data Science and Systems DSS2018, the 14th Annual Workshop on Computational Intelligence UKCI2014 and the series of the International Workshop on Engineering Data- & Model-driven Applications EDMA2017, EDMA2018, EDMA2019, Deputy Technical Programme Chair for BCS SGAI AI Conference in 2011, 2012 and 2013 (Cambridge, UK). Daniel Neagu is Associate Editor for the Journal of Expert Systems (Wiley, IF 1.505), and invited editor for Expert Systems special issues in 2011 and 2012, Springer Neural Computing and Applications journal special issue on Predictive Analytics Using Machine Learning in 2014/15, and Springer Soft Computing journal special issue on Computational Intelligence in 2015. He served as external examiner for PhDs, MPhil and MRes for Universities of Aberystwyth, Coventry, East Anglia, Huddersfield, Hull, Liverpool, Liverpool John Moores, Northumbria, Sheffield, Sunderland, Ulster, York, and External Examiner for undergraduate and postgraduate Computer Science degrees at University of Huddersfield and Northumbria University. Daniel is invited Expert for EC H2020, IMI, EPSRC, AHRC, MRC, BBSRC, ESRC, STFC and a number of international research councils (Canada, Chile, Cyprus, Austria). Daniel has been accepted on the Higher Education Academy register of practitioners in 2006 and is Fellow of Higher Education Academy since 2007. He contributed to the UKCGE (UK Council for Graduate Education) Postgraduate Funding and Resourcing Working Group (2014-2015).

Daniel teaches Big Data Systems and Analytics, Data Mining, Software Design and Development. He has coordinated and re-designed Software Development (at UG and PGT level), Data Structures and Algorithms, Group Project, Data Fusion, Artificial Intelligence with Applications, Computer Architecture and Systems, and Technical & Professional Skills academic modules. He has also delivered modules, presentations and invited training sessions to BBC Academy, NATO training courses, EC FPs consortia schools, OEMs, and coordinated data hackathons and research seminars series.

Research

Daniel Neagu's research focuses on Artificial Intelligence techniques applied in (Automotive) Engineering, Product Safety, Toxicology, Healthcare, Online Social Networks, Data Quality, Big Data. Daniels research has been motivated by his desire to advance the AI field by studying systems from rigorous computational perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of experts knowledge and digital information. He strongly believes Computer Science is now a media for knowledge representation, exchange and retrieval to serve multidisciplinary objectives and purposes. Mining information to identify key attributes and making unknown, hidden, distributed information accessible to people plays a vital role in the progress of science and technology, thus Daniels work addresses applications as diverse as health, security and entertainment.
Research Groups: Artificial Intelligence

Professional activities

  • 01-JAN-00: University of Galati - PhD
  • 01-JAN-90: Technical University of Iasi - MEng
  • 01-JAN-95: University of Galati - BSc (Hons)
  • 01-JAN-93: University of Galati - Associate Professor
  • 01-JAN-01: Politecnico di Milano - Research Fellow
  • 01-JAN-10: - IEEE Technical Expert
  • 01-JAN-12: - Journal special issue editor for Springer Soft Computing
  • 01-JAN-09: - Best Student Paper award with PhD student Yousef Alqasrawi a
  • Research Group Leadership: AIRe (AI Research) Group Leader
  • Research Group Leadership: Co-Director, Advanced Automotive Analytics (AAA) Research Institute
  • Academic Leadership: Co-Director, Computing Enterprise Centre
  • Academic Leadership: Exchange Studies Coordinator
  • English
  • Romanian
  • Co-Chair: Co-Chair: The International Workshop on Engineering Data- & Model-driven Applications, joined with 10th IEEE International Conference on Cyber, Physical and Social Computing EDMA
  • Co-Chair: Co-Chair: The 18th International Conference on Membrane Computing CMC18
  • General Chair: General Chair: the 14th UK Workshop on Computational Intelligence: UKCI
  • Symposium attendee: Data and Models Governance, UK Symposium on Knowledge Discovery and Data Mining UK KDD, London
  • tbc: Privacy and Vulnerability in Online Social Networks, BCS CAS Inventing the Future
  • tbc: IET Prestige Series
  • Attendee/Meeting Member: Neural Networks and Fuzzy Logic Models for Predictive Toxicology, ECB Meeting on the Validation of neural network models according to the OECD principles, European Chemicals Bureau, Commission Joint Research Centre Ispra, Italy
  • Research: Data Mining for Toxicity, BioActive Sciences Group of The Society of Chemical Industry (UK) meeting on In Silico Design of Bioactive Compounds, Belgrave Square, London
  • Seminar Presenter: Invited Departmental Seminar: Knowledge Representation in Hybrid Intelligent Systems, Oxford University Computing Laboratory
  • Lecturer: NATO Lecturer: An Artificial Intelligence-based approach to predict hazardous waste toxicity, Advanced Study Institute on "Improving the Quality of Site Characterisation-Field Analytics/Dynamic Workplans: The Key to Rapid & Cost Effective Hazardous Waste Site Investigation", NATO Scientific and Environmental Affairs Division (Code SA EST.ASI.979474), Galati, Romania
  • Workshop Leader: Intelligent modelling algorithms for general evaluation of toxicities, Int'l Workshop on the Use of Computer Models as Alternatives to Animal Experiments in Chemical Risk Assessment ECVAM, Prague, Czech Republic
  • Research: A hybrid intelligent system applied in toxicity data mining, Stockholm Bioinformatics Center
  • Programme Chair: Deputy Technical Programme Chair, SGAI International Conference on Artificial Intelligence, Cambridge, England
  • Conference Attendee: Int'l Conf on Machine Learning and Applications ICMLA 2003, 2005, 2010, 2011, 2015
  • Workshop Attendee: UK Workshop on Computational Intelligence UKCI
  • Conference Attendee: Int'l Conf of Advanced Data Mining and Applications ADMA
  • Conference Attendee: The 15th East-European Conference on Advances in Databases and Information Systems ADBIS
  • Conference Attendee: Int'l Conf on Knowledge-Based Intelligent Information & Engineering Systems: KES
  • Conference Attendee: IEEE Int'l Conf on Tools with Artificial Intelligence ICTAI
  • Conference Attendee: 22 British National Conf on Databases, Workshop on Data Mining BNCOD
  • Conference Attendee: Special Track Integrated Intelligent Systems, FLAIRS Int'l Conf
  • Fellow: Fellow of Higher Education Academy - HEA
  • Invited Speaker: The Institution of Engineering and Technology (IET) invited talk: Algorithms for Social Engineering in Online Social Network (with Sophia ALim, Ruqayya Abdulrahman and Mick Ridley)
  • Invited Speaker: The Institution of Engineering and Technology (IET) invited talk: Information Quality in e-learning (with Mona AlKhattabi and Dr. Andrea Cullen)
  • Invited Evaluator: Invited project evaluator for EPSRC, The Leverhulme Trust, European Commission Innovative Medicines Initiative and Beilstein Institute (Germany)
  • Evaluator: Project Evaluator for MRC
  • Refereeing: Referee for Royal Society
  • External Expert Reviewer: External expert reviewer for Higher Education Academy (ICT Development Funds)
  • PhD External Examiner: PhD External Examiner, University of Ulster
  • PhD External Examiner: PhD External Examiner, University of Sunderland
  • Mphil External Examiner: MPhil external examiner, University of Huddersfield
  • PhD External Examiner: PhD internal examiner, University of Bradford (EIMC)
  • PhD External Examiner: PhD internal examiner, University of Bradford (Computing)
  • Invited Reviewer: Invited reviewer, American Chemical Society (ACS)

Publications

Peer Reviewed Journal
TitleA study proposing a data model for a dementia care mapping (DCM) data warehouse for potential secondary uses of dementia care data (2019)
AuthorsKhalid S.;Small N.;Neagu D.;Surr C.
JournalInternational Journal of Healthcare Information Systems and Informatics
DOI10.4018/IJHISI.2019010105
 
TitleRanking strategies to support toxicity prediction: a case study on potential lxr binders (2019)
AuthorsPalczewska, Anna Maria; Kovarich, S.; Ciacci, A.; Fioravanzo, E.; Bassan, A.; Neagu, Daniel
 
TitleExploring the potential for secondary uses of Dementia Care Mapping (DCM) data for improving the quality of dementia care (2019)
AuthorsKhalid, Shehla; Surr, Claire A.; Neagu, Daniel; Small, Neil A.
 
TitleProximity Curves for Potential-Based Clustering (2019)
AuthorsCsenki A.;Neagu D.;Torgunov D.;Micic N.
JournalJournal of Classification
DOI10.1007/s00357-019-09348-y
 
TitleReliability challenges for automotive aftertreatment systems: a state-of-the-art perspective (2018)
AuthorsSoleimani, Morteza; Campean, I. Felician; Neagu, Daniel
 
TitleData quality challenges in the UK social housing sector (2018)
AuthorsDuvier, Caroline; Neagu, Daniel; Oltean-Dumbrava, Crina; Dickens, D.
 
TitlePrediction of the effect of formulation on the toxicity of chemicals (2017)
AuthorsMistry, Pritesh; Neagu, Daniel; Sanchez-Ruiz, A.; Trundle, Paul R.; Vessey, J.D.; Gosling, J.P.
JournalToxicology Research
 
TitleUsing random forest and decision tree models for a new vehicle prediction approach in computational toxicology (2016)
AuthorsMistry P.;Neagu D.;Trundle P.;Vessey J.
JournalSoft Computing
DOI10.1007/s00500-015-1925-9
 
TitleSpecial issue on computational intelligence algorithms and applications (2016)
AuthorsNeagu, Daniel
 
TitleTowards a Fuzzy Expert System on Toxicological Data Quality Assessment (2013)
AuthorsYang, Longzhi; Neagu, Daniel; Cronin, M.T.D.; Hewitt, M.; Enoch, S.J.; Madden, J.C.; Przybylak, K.
 
TitleTowards model governance in predictive toxicology (2013)
AuthorsPalczewska, Anna Maria; Fu, X.; Trundle, Paul R.; Yang, Longzhi; Neagu, Daniel; Ridley, Mick J.; Travis, Kim
 
TitleA framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes (2013)
AuthorsBashon, Yasmina M.; Neagu, Daniel; Ridley, Mick J.
 
TitleFusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification (2013)
AuthorsAlqasrawi, Yousef T. N.; Neagu, Daniel; Cowling, Peter I.
 
TitleUsing Pareto points for model identification in predictive toxicology (2013)
AuthorsPalczewska, Anna Maria; Neagu, Daniel; Ridley, Mick J.
 
TitleA vulnerability evaluation framework for online social network profiles: Axioms and propositions (2012)
AuthorsAlim S.;Neagu D.;Ridley M.
JournalInternational Journal of Internet Technology and Secured Transactions
DOI10.1504/IJITST.2012.047961
 
TitleAssessing information quality of e-learning systems: A web mining approach (2011)
AuthorsAlkhattabi M.;Neagu D.;Cullen A.
JournalComputers in Human Behavior
DOI10.1016/j.chb.2010.11.011
 
TitleAnalogy-based software effort estimation using Fuzzy numbers (2011)
AuthorsAzzeh M.;Neagu D.;Cowling P.
JournalJournal Of Systems And Software
DOI10.1016/j.jss.2010.09.028
 
TitleOnline social network profile data extraction for vulnerability analysis (2011)
AuthorsAlim S.;Abdulrahman R.;Neagu D.;Ridley M.
JournalInternational Journal of Internet Technology and Secured Transactions
DOI10.1504/IJITST.2011.039778
 
TitleFuzzy grey relational analysis for software effort estimation (2010)
AuthorsAzzeh M.;Neagu D.;Cowling P.
JournalEmpirical Software Engineering
DOI10.1007/s10664-009-9113-0
 
TitleInformation quality framework for e-learning systems (2010)
AuthorsAlkhattabi M.;Neagu D.;Cullen A.
JournalKnowledge Management and E-Learning
 
TitleValidation of counter propagation neural network models for predictive toxicology according to the OECD principles: A case study (2006)
AuthorsVračko M.;Bandelj V.;Barbieri P.;Benfenati E.;Chaudhry Q.;Cronin M.;Devillers J.;Gallegos A.;Gini G.;Gramatica P.;Helma C.;Mazzatorta P.;Neagu D.;Netzeva T.;Pavan M.;Patlewicz G.;Randić M.;Tsakovska I.;Worth A.
JournalSAR and QSAR in Environmental Research
DOI10.1080/10659360600787650
 
TitleFuzzy kNNModel Applied to Predictive Toxicology Data Mining (2005)
AuthorsGuo, G.; Neagu, Daniel
 
TitleA Neuro-Fuzzy Approach for Functional Genomics Data Interpretation and Analysis (2003)
AuthorsNeagu, Daniel; Palade, V.
 
TitleNeural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction. (2002)
AuthorsNeagu, Daniel; Avouris, N.M.; Kalapanidas, E.; Palade, V.
 
TitleThe importance of scaling in data mining for toxicity prediction. (2002)
AuthorsMazzatorta, P.; Benfenati, E.; Neagu, Daniel; Gini, G.
 
Book Chapter
TitleCHAPTER 6: Storing and Using Qualitative and Quantitative Structure-Activity Relationships in the Era of Toxicological and Chemical Data Expansion (2020)
AuthorsSild S.;Piir G.;Neagu D.;Maran U.
JournalIssues in Toxicology
DOI10.1039/9781782623656-00185
 
TitleInterpreting Random Forest Classification Models Using a Feature Contribution Method (2014)
AuthorsPalczewska, Anna Maria; Palczewski, J.; Marchese-Robinson, R.M.; Neagu, Daniel
 
TitleUser perceptions of information quality in e-learning systems: A gender and cultural perspective (2012)
AuthorsAlkhattabi M.;Neagu D.;Cullen A.
JournalGlobalization, Technology Diffusion and Gender Disparity: Social Impacts of ICTs
DOI10.4018/978-1-4666-0020-1.ch012
 
TitleAlgorithms for (Q)SAR model building (2007)
AuthorsChaudhry Q.;Chrétien J.;Craciun M.;Guo G.;Lemke F.;Müller J.;Neagu D.;Piclin N.;Pintore M.;Trundle P.
JournalQuantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
DOI10.1016/B978-044452710-3/50006-9
 
TitleDatabases for pesticide ecotoxicity (2007)
AuthorsBenfenati E.;Boriani E.;Craciun M.;Malazizi L.;Neagu D.;Roncaglioni A.
JournalQuantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
DOI10.1016/B978-044452710-3/50004-5
 
TitleThe use of the DEMETRA models (2007)
AuthorsBenfenati E.;Craciun M.;Neagu D.
JournalQuantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
DOI10.1016/B978-044452710-3/50011-2
 
TitleHybrid systems (2007)
AuthorsAmaury N.;Benfenati E.;Bumbaru S.;Chana A.;Craciun M.;Chrétien J.;Gini G.;Guo G.;Lemke F.;Minzu V.;Müller J.;Neagu D.;Pintore M.;Stroia S.;Trundle P.
JournalQuantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
DOI10.1016/B978-044452710-3/50007-0
 
Other Publication
Other typeEditorial
TitlePreface (2020)
AuthorsNeagu D.;Richarz A.
JournalIssues in Toxicology
DOI10.1039/9781782623656-FP007
 
Other typeEditorial
TitleMessage from the EDMA-2017 Workshop Chairs (2018)
AuthorsCampean F.;Gheorghe M.;Hall J.;Neagu D.
JournalProceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
DOI10.1109/iThings-GreenCom-CPSCom-SmartData.2017.197
 
Other typeReviews
TitleData quality challenges in the UK social housing sector (2018)
AuthorsDuvier C.;Neagu D.;Oltean-Dumbrava C.;Dickens D.
JournalInternational Journal of Information Management
DOI10.1016/j.ijinfomgt.2017.09.008
 
Other typeEditorial
TitleSpecial issue on innovative techniques and applications of artificial intelligence guest editorial (2017)
AuthorsNeagu D.
JournalExpert Systems
DOI10.1111/exsy.12234
 
Other typeEditorial
TitleSpecial issue on computational intelligence algorithms and applications (2016)
AuthorsNeagu D.
JournalSoft Computing
DOI10.1007/s00500-016-2261-4
 
Other typeEditorial
TitleMessage from the Program Chairs (2016)
AuthorsLi S.;Dai Y.;Neagu D.;Ming D.
JournalProceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
DOI10.1109/ICISCE.2016.6
 
Other typeEditorial
TitleGuest editorial: special issue on predictive analytics using machine learning (2016)
AuthorsNassif A.;Azzeh M.;Banitaan S.;Neagu D.
JournalNeural Computing and Applications
DOI10.1007/s00521-016-2327-3
 
Other typeEditorial
TitleSpecial issue on innovative techniques and applications of artificial intelligence (2014)
AuthorsNeagu D.
JournalExpert Systems
DOI10.1111/exsy.12048
 
Title Author(s)
Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform (2020)Pant G.;Campean F.;Korsunovs A.;Neagu D.;Garcia-Afonso O.
Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches (2020)Micic N.;Lei C.;Neagu D.;Campean F.
Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification (2020)Torgunov D.;Trundle P.;Campean F.;Neagu D.;Sherratt A.
On Selection of Optimal Classifiers (2019)Rado O.;Neagu D.
Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring (2019)Mishra B.;Thakker D.;Mazumdar S.;Simpson S.;Neagu D.
Using Deep Learning for IoT-Enabled Smart Camera: A Use Case of Flood Monitoring (2019)B Mishra, D Thakker, S Mazumdar, D Neagu, S Simpson
Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling (2019)Murphy O.;Zadeh E.;Campean F.;Neagu D.
Towards a framework for engineering big data: An automotive systems perspective (2018)Byrne T.;Campean F.;Neagu D.
Comparison between range-based and prefix dewey encoding (2018)Taktek E.;Thakker D.;Neagu D.
Towards a Data Quality Framework for Heterogeneous Data (2018)Micic N.;Neagu D.;Campean F.;Zadeh E.
The wild bootstrap resampling in regression imputation algorithm with a gaussian mixture model (2018)Mat Jasin A.;Neagu D.;Csenki A.
Computational complexity analysis of decision tree algorithms (2018)Sani H.;Lei C.;Neagu D.
An experimental comparison of ensemble classifiers for evolving data streams (2017)Tambuwal A.;Neagu D.;Gheorghe M.
Bipartite network model for inferring hidden ties in crime data (2015)Isah H.;Neagu D.;Trundle P.
Social media analysis for product safety using text mining and sentiment analysis (2014)Isah H.;Trundle P.;Neagu D.
Using computational methods for the prediction of drug vehicles (2014)Mistry P.;Palczewska A.;Neagu D.;Trundle P.
Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation (2014)Alqasrawi Y.;Neagu D.
Integration strategies for toxicity data from an empirical perspective (2014)Yang L.;Neagu D.
Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution (2013)Yang L.;Neagu D.
Interpreting random forest models using a feature contribution method (2013)Palczewska A.;Palczewski J.;Robinson R.;Neagu D.
Fuzzy complex number aided evaluation of predictive toxicology models (2012)Fu X.;Travis K.;Neagu D.;Ridley M.;Shen Q.
Optimisation of classifier ensemble for predictive toxicology applications (2012)Makhtar M.;Yang L.;Neagu D.;Ridley M.
Towards the integration of heterogeneous uncertain data (2012)Yang L.;Neagu D.
Comparing multi-class classifiers: On the similarity of confusion matrices for predictive toxicology applications (2011)Makhtar M.;Neagu D.;Ridley M.
Multi agent system for historical information retrieval from online social networks (2011)Abdulrahman R.;Neagu D.;Holton D.
Formal specification of multi agent system for historical information retrieval from online social networks (2011)Abdulrahman R.;Holton D.;Neagu D.;Ridley M.
Binary classification models comparison: On the similarity of datasets and confusion matrix for predictive toxicology applications (2011)Makhtar M.;Neagu D.;Ridley M.
Fuzzy set-theoretical approach for comparing objects with fuzzy attributes (2011)Bashon Y.;Neagu D.;Ridley M.
Axioms for vulnerability measurement of online social network profiles (2011)Alim S.;Neagu D.;Ridley M.
DCM data management framework: A data warehousing approach (2010)Khalid S.;Surr C.;Neagu D.
A new approach for comparing fuzzy objects (2010)Bashon Y.;Neagu D.;Ridley M.
Algorithms for data retrieval from online social network graphs (2010)Abdulrahman R.;Alim S.;Neagu D.;Ridley M.
Spatial pyramid local keypoints quantization for bag of visual patches image representation (2010)Alqasrawi Y.;Neagu D.;Cowling P.
An improved root extraction technique for Arabic words (2010)Al-Nashashibi M.;Neagu D.;Yaghi A.
Software stage-effort estimation based on association rule mining and Fuzzy set theory (2010)Azzeh M.;Cowling P.;Neagu D.
Predictive model representation and comparison: Towards data and predictive models governance (2010)Makhtar M.;Neagu D.;Ridley M.
Stemming techniques for Arabic words: A comparative study (2010)Al-Nashashibi M.;Neagu D.;Yaghi A.
Software effort estimation based on weighted fuzzy grey relational analysis (2009)Azzeh M.;Neagu D.;Cowling P.
Overview of factors for Internet banking adoption (2009)Ochuko R.;Cullen A.;Neagu D.
Natural scene image recognition by fusing weighted colour moments with bag of visual patches on spatial pyramid layout (2009)Alqasrawi Y.;Neagu D.;Cowling P.
Data retrieval from online social network profiles for social engineering applications (2009)Alim S.;Abdul-Rahman R.;Neagu D.;Ridley M.
Software project similarity measurement based on fuzzy C-means (2008)Azzeh M.;Neagu D.;Cowling P.
Improving analogy software effort estimation using fuzzy feature subset selection algorithm (2008)Azzeh M.;Neagu D.;Cowling P.
Data reduction and classification based on multiple classifier behavior (2008)Zhao C.;Guo G.;Huang X.;Huang T.;Neagu D.
RDF repository of experts based on context oriented automatic annotation framework (2008)Hatem M.;Neagu D.;Ramadan H.
Adjusting analogy software effort estimation based on fuzzy logic (2008)Azzeh M.;Neagu D.;Cowling P.
Multi-source data modelling: Integrating related data to improve model performance (2007)Trundle P.;Neagu D.;Chaudhry Q.
Applications of the moving average of nth-order difference algorithm for time series prediction (2007)Lan Y.;Neagu D.
A comparative study of machine learning algorithms applied to predictive toxicology data mining (2007)Neagu D.;Guo G.;Trundle P.;Cronin M.
Development of multi-output neural networks for data integration - A case study (2007)Trundle P.;Neagu D.;Craciun M.;Chaudhry Q.
Weighted kNNModel-based data reduction and classification (2007)Huang X.;Guo G.;Neagu D.;Huang T.
A new time series prediction algorithm based on moving average of n th -order difference (2007)Yang L.;Neagu D.
A partial coverage based approach to classification (2007)Huang Y.;Guo G.;Neagu D.
An effective combination of multiple classifiers for toxicity prediction (2006)Guo G.;Neagu D.;Huang X.;Bi Y.
A data-driven approach for improved effective classification in predictive toxicology (2006)Neagu D.;Guo G.
An effective combination based on class-wise expertise of diverse classifiers for predictive toxicology data mining (2006)Neagu D.;Guo G.;Wang S.
A data quality assessment algorithm with applications in predictive toxicology (2006)Malazizi L.;Neagu D.;Chaudhry Q.
A study on feature selection for toxicity prediction (2006)Guo G.;Neagu D.;Cronin M.
Refinement of clustering solutions using a multi-label voting algorithm for neuro-fuzzy ensembles (2005)Zhang S.;Neagu D.;Balescu C.
A study on feature selection for toxicity prediction (2005)Guo G.;Neagu D.;Cronin M.
Using kNN model for automatic feature selection (2005)Guo G.;Neagu D.;Cronin M.
A multi-label voting algorithm for neuro-fuzzy classifier ensembles with applications in Visual Arts Data Mining (2005)Neagu D.;Zhang S.;Balescu C.
Hybrid intelligent systems for predictive toxicology - A distributed approach (2005)Neagu D.;Craciun M.;Stroia S.;Bumbaru S.
Similarity-based classifier combination for decision making (2005)Guo G.;Neagu D.
A study of aquatic toxicity using artificial neural networks (2003)Crǎciun M.;Neagu D.;König C.;Bumbaru S.
A neuro-fuzzy approach for functional genomics data interpretation and analysis (2003)Neagu D.;Palade V.