Professor Ciprian Daniel Neagu
Professor of Computing
| Faculty/Dept/School | Faculty of Eng & Digital Technologies |
|---|---|
| d.neagu@bradford.ac.uk | |
| Telephone | +441274 235704 |
Biography
Ciprian 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
| Title | Ranking strategies to support toxicity prediction: a case study on potential lxr binders (2019) |
|---|---|
| Authors | Palczewska, Anna Maria; Kovarich, S.; Ciacci, A.; Fioravanzo, E.; Bassan, A.; Neagu, Daniel |
| Title | A study proposing a data model for a dementia care mapping (DCM) data warehouse for potential secondary uses of dementia care data (2019) |
| Authors | Khalid S.;Small N.;Neagu D.;Surr C. |
| Journal | International Journal of Healthcare Information Systems and Informatics |
| DOI | 10.4018/IJHISI.2019010105 |
| Title | Proximity Curves for Potential-Based Clustering (2019) |
| Authors | Csenki A.;Neagu D.;Torgunov D.;Micic N. |
| Journal | Journal of Classification |
| DOI | 10.1007/s00357-019-09348-y |
| Title | Exploring the potential for secondary uses of Dementia Care Mapping (DCM) data for improving the quality of dementia care (2019) |
| Authors | Khalid, Shehla; Surr, Claire A.; Neagu, Daniel; Small, Neil A. |
| Title | Data quality challenges in the UK social housing sector (2018) |
| Authors | Duvier, Caroline; Neagu, Daniel; Oltean-Dumbrava, Crina; Dickens, D. |
| Title | Reliability challenges for automotive aftertreatment systems: a state-of-the-art perspective (2018) |
| Authors | Soleimani, Morteza; Campean, I. Felician; Neagu, Daniel |
| Title | Prediction of the effect of formulation on the toxicity of chemicals (2017) |
| Authors | Mistry, Pritesh; Neagu, Daniel; Sanchez-Ruiz, A.; Trundle, Paul R.; Vessey, J.D.; Gosling, J.P. |
| Journal | Toxicology Research |
| Title | Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology (2016) |
| Authors | Mistry P.;Neagu D.;Trundle P.;Vessey J. |
| Journal | Soft Computing |
| DOI | 10.1007/s00500-015-1925-9 |
| Title | Special issue on computational intelligence algorithms and applications (2016) |
| Authors | Neagu, Daniel |
| Title | Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification (2013) |
| Authors | Alqasrawi, Yousef T. N.; Neagu, Daniel; Cowling, Peter I. |
| Title | A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes (2013) |
| Authors | Bashon, Yasmina M.; Neagu, Daniel; Ridley, Mick J. |
| Title | Towards model governance in predictive toxicology (2013) |
| Authors | Palczewska, Anna Maria; Fu, X.; Trundle, Paul R.; Yang, Longzhi; Neagu, Daniel; Ridley, Mick J.; Travis, Kim |
| Title | Towards a Fuzzy Expert System on Toxicological Data Quality Assessment (2013) |
| Authors | Yang, Longzhi; Neagu, Daniel; Cronin, M.T.D.; Hewitt, M.; Enoch, S.J.; Madden, J.C.; Przybylak, K. |
| Title | Using Pareto points for model identification in predictive toxicology (2013) |
| Authors | Palczewska, Anna Maria; Neagu, Daniel; Ridley, Mick J. |
| Title | A vulnerability evaluation framework for online social network profiles: Axioms and propositions (2012) |
| Authors | Alim S.;Neagu D.;Ridley M. |
| Journal | International Journal of Internet Technology and Secured Transactions |
| DOI | 10.1504/IJITST.2012.047961 |
| Title | Assessing information quality of e-learning systems: A web mining approach (2011) |
| Authors | Alkhattabi M.;Neagu D.;Cullen A. |
| Journal | Computers in Human Behavior |
| DOI | 10.1016/j.chb.2010.11.011 |
| Title | Analogy-based software effort estimation using Fuzzy numbers (2011) |
| Authors | Azzeh M.;Neagu D.;Cowling P. |
| Journal | Journal Of Systems And Software |
| DOI | 10.1016/j.jss.2010.09.028 |
| Title | Online social network profile data extraction for vulnerability analysis (2011) |
| Authors | Alim S.;Abdulrahman R.;Neagu D.;Ridley M. |
| Journal | International Journal of Internet Technology and Secured Transactions |
| DOI | 10.1504/IJITST.2011.039778 |
| Title | Fuzzy grey relational analysis for software effort estimation (2010) |
| Authors | Azzeh M.;Neagu D.;Cowling P. |
| Journal | Empirical Software Engineering |
| DOI | 10.1007/s10664-009-9113-0 |
| Title | Information quality framework for e-learning systems (2010) |
| Authors | Alkhattabi M.;Neagu D.;Cullen A. |
| Journal | Knowledge Management and E-Learning |
| Title | Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: A case study (2006) |
| Authors | Vračko 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. |
| Journal | SAR and QSAR in Environmental Research |
| DOI | 10.1080/10659360600787650 |
| Title | Fuzzy kNNModel Applied to Predictive Toxicology Data Mining (2005) |
| Authors | Guo, G.; Neagu, Daniel |
| Title | A Neuro-Fuzzy Approach for Functional Genomics Data Interpretation and Analysis (2003) |
| Authors | Neagu, Daniel; Palade, V. |
| Title | The importance of scaling in data mining for toxicity prediction. (2002) |
| Authors | Mazzatorta, P.; Benfenati, E.; Neagu, Daniel; Gini, G. |
| Title | Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction. (2002) |
| Authors | Neagu, Daniel; Avouris, N.M.; Kalapanidas, E.; Palade, V. |
| Title | CHAPTER 6: Storing and Using Qualitative and Quantitative Structure-Activity Relationships in the Era of Toxicological and Chemical Data Expansion (2020) |
|---|---|
| Authors | Sild S.;Piir G.;Neagu D.;Maran U. |
| Journal | Issues in Toxicology |
| DOI | 10.1039/9781782623656-00185 |
| Title | Interpreting Random Forest Classification Models Using a Feature Contribution Method (2014) |
| Authors | Palczewska, Anna Maria; Palczewski, J.; Marchese-Robinson, R.M.; Neagu, Daniel |
| Title | User perceptions of information quality in e-learning systems: A gender and cultural perspective (2012) |
| Authors | Alkhattabi M.;Neagu D.;Cullen A. |
| Journal | Globalization, Technology Diffusion and Gender Disparity: Social Impacts of ICTs |
| DOI | 10.4018/978-1-4666-0020-1.ch012 |
| Title | Databases for pesticide ecotoxicity (2007) |
| Authors | Benfenati E.;Boriani E.;Craciun M.;Malazizi L.;Neagu D.;Roncaglioni A. |
| Journal | Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes |
| DOI | 10.1016/B978-044452710-3/50004-5 |
| Title | Algorithms for (Q)SAR model building (2007) |
| Authors | Chaudhry Q.;Chrétien J.;Craciun M.;Guo G.;Lemke F.;Müller J.;Neagu D.;Piclin N.;Pintore M.;Trundle P. |
| Journal | Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes |
| DOI | 10.1016/B978-044452710-3/50006-9 |
| Title | Hybrid systems (2007) |
| Authors | Amaury 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. |
| Journal | Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes |
| DOI | 10.1016/B978-044452710-3/50007-0 |
| Title | The use of the DEMETRA models (2007) |
| Authors | Benfenati E.;Craciun M.;Neagu D. |
| Journal | Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes |
| DOI | 10.1016/B978-044452710-3/50011-2 |
| Other type | Editorial |
|---|---|
| Title | Preface (2020) |
| Authors | Neagu D.;Richarz A. |
| Journal | Issues in Toxicology |
| DOI | 10.1039/9781782623656-FP007 |
| Other type | Editorial |
| Title | Message from the EDMA-2017 Workshop Chairs (2018) |
| Authors | Campean F.;Gheorghe M.;Hall J.;Neagu D. |
| Journal | Proceedings - 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 |
| DOI | 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.197 |
| Other type | Reviews |
| Title | Data quality challenges in the UK social housing sector (2018) |
| Authors | Duvier C.;Neagu D.;Oltean-Dumbrava C.;Dickens D. |
| Journal | International Journal of Information Management |
| DOI | 10.1016/j.ijinfomgt.2017.09.008 |
| Other type | Editorial |
| Title | Special issue on innovative techniques and applications of artificial intelligence guest editorial (2017) |
| Authors | Neagu D. |
| Journal | Expert Systems |
| DOI | 10.1111/exsy.12234 |
| Other type | Editorial |
| Title | Special issue on computational intelligence algorithms and applications (2016) |
| Authors | Neagu D. |
| Journal | Soft Computing |
| DOI | 10.1007/s00500-016-2261-4 |
| Other type | Editorial |
| Title | Message from the Program Chairs (2016) |
| Authors | Li S.;Dai Y.;Neagu D.;Ming D. |
| Journal | Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 |
| DOI | 10.1109/ICISCE.2016.6 |
| Other type | Editorial |
| Title | Guest editorial: special issue on predictive analytics using machine learning (2016) |
| Authors | Nassif A.;Azzeh M.;Banitaan S.;Neagu D. |
| Journal | Neural Computing and Applications |
| DOI | 10.1007/s00521-016-2327-3 |
| Other type | Editorial |
| Title | Special issue on innovative techniques and applications of artificial intelligence (2014) |
| Authors | Neagu D. |
| Journal | Expert Systems |
| DOI | 10.1111/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. |
| Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification (2020) | Torgunov D.;Trundle P.;Campean F.;Neagu D.;Sherratt A. |
| Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches (2020) | Micic N.;Lei C.;Neagu D.;Campean F. |
| On Selection of Optimal Classifiers (2019) | Rado O.;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. |
| Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring (2019) | Mishra B.;Thakker D.;Mazumdar S.;Simpson S.;Neagu D. |
| Comparison between range-based and prefix dewey encoding (2018) | Taktek E.;Thakker D.;Neagu D. |
| Towards a framework for engineering big data: An automotive systems perspective (2018) | Byrne T.;Campean F.;Neagu D. |
| Towards a Data Quality Framework for Heterogeneous Data (2018) | Micic N.;Neagu D.;Campean F.;Zadeh E. |
| Computational complexity analysis of decision tree algorithms (2018) | Sani H.;Lei C.;Neagu D. |
| The wild bootstrap resampling in regression imputation algorithm with a gaussian mixture model (2018) | Mat Jasin A.;Neagu D.;Csenki A. |
| 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. |
| Using computational methods for the prediction of drug vehicles (2014) | Mistry P.;Palczewska A.;Neagu D.;Trundle P. |
| Social media analysis for product safety using text mining and sentiment analysis (2014) | Isah H.;Trundle P.;Neagu D. |
| Integration strategies for toxicity data from an empirical perspective (2014) | Yang L.;Neagu D. |
| Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation (2014) | Alqasrawi Y.;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. |
| Towards the integration of heterogeneous uncertain data (2012) | Yang L.;Neagu D. |
| Optimisation of classifier ensemble for predictive toxicology applications (2012) | Makhtar M.;Yang L.;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. |
| Formal specification of multi agent system for historical information retrieval from online social networks (2011) | Abdulrahman R.;Holton D.;Neagu D.;Ridley M. |
| Multi agent system for historical information retrieval from online social networks (2011) | Abdulrahman R.;Neagu D.;Holton D. |
| Comparing multi-class classifiers: On the similarity of confusion matrices for predictive toxicology applications (2011) | Makhtar M.;Neagu D.;Ridley M. |
| Axioms for vulnerability measurement of online social network profiles (2011) | Alim S.;Neagu D.;Ridley M. |
| Fuzzy set-theoretical approach for comparing objects with fuzzy attributes (2011) | Bashon Y.;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. |
| Stemming techniques for Arabic words: A comparative study (2010) | Al-Nashashibi M.;Neagu D.;Yaghi A. |
| Predictive model representation and comparison: Towards data and predictive models governance (2010) | Makhtar M.;Neagu D.;Ridley M. |
| Software stage-effort estimation based on association rule mining and Fuzzy set theory (2010) | Azzeh M.;Cowling P.;Neagu D. |
| An improved root extraction technique for Arabic words (2010) | Al-Nashashibi M.;Neagu D.;Yaghi A. |
| Spatial pyramid local keypoints quantization for bag of visual patches image representation (2010) | Alqasrawi Y.;Neagu D.;Cowling P. |
| Algorithms for data retrieval from online social network graphs (2010) | Abdulrahman R.;Alim S.;Neagu D.;Ridley M. |
| Software effort estimation based on weighted fuzzy grey relational analysis (2009) | Azzeh M.;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. |
| 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. |
| Overview of factors for Internet banking adoption (2009) | Ochuko R.;Cullen A.;Neagu D. |
| 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. |
| Adjusting analogy software effort estimation based on fuzzy logic (2008) | Azzeh M.;Neagu D.;Cowling P. |
| RDF repository of experts based on context oriented automatic annotation framework (2008) | Hatem M.;Neagu D.;Ramadan H. |
| Data reduction and classification based on multiple classifier behavior (2008) | Zhao C.;Guo G.;Huang X.;Huang T.;Neagu D. |
| Applications of the moving average of nth-order difference algorithm for time series prediction (2007) | Lan Y.;Neagu D. |
| Multi-source data modelling: Integrating related data to improve model performance (2007) | Trundle P.;Neagu D.;Chaudhry Q. |
| 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. |
| A new time series prediction algorithm based on moving average of n th -order difference (2007) | Yang L.;Neagu D. |
| Weighted kNNModel-based data reduction and classification (2007) | Huang X.;Guo G.;Neagu D.;Huang T. |
| A partial coverage based approach to classification (2007) | Huang Y.;Guo G.;Neagu D. |
| 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. |
| 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. |
| A study on feature selection for toxicity prediction (2006) | Guo G.;Neagu D.;Cronin M. |
| Using kNN model for automatic feature selection (2005) | Guo G.;Neagu D.;Cronin M. |
| A study on feature selection for toxicity prediction (2005) | 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. |
| Hybrid intelligent systems for predictive toxicology - A distributed approach (2005) | Neagu D.;Craciun M.;Stroia S.;Bumbaru S. |
| A multi-label voting algorithm for neuro-fuzzy classifier ensembles with applications in Visual Arts Data Mining (2005) | Neagu D.;Zhang S.;Balescu C. |
| 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. |