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).
Professor Neagu has 20+ years of funded research leadership. He is AI Research (AIRE) Group Leader, academic liaison for Turing University Network, Academic Coordinator for Exchange Studies in Computer Science and Artificial Intelligence, active speaker on Responsible AI, SAFI lead for Big Data Statistical and Machine Learning Applications.
His research focuses on fundamental approaches for Responsible and Sustainable Artificial Intelligence, and applications in Digital Technologies for Engineering, Product Safety, Toxicology, Healthcare, Social Media, BIMs and Arts. This research has been motivated by his desire to advance the AI field by studying systems from rigorous computational and philosophical perspectives. The main theme throughout his academic work is to develop models of multidisciplinary information systems by the fusion of know-what, know-how and computational information. He strongly believes Computer Science is now media for knowledge acquisition, analysis, design, and validation to serve responsibly sustainable aims that play vital roles in the progress of science and society.
Professor CD Neagu is member of British Computer Society (BCS The Chartered Institute for IT), where he served as committee member of the BCS SGAI (Specialist Group on Artificial Intelligence) from 2011-2013. He 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).
Professor Neagu is Associate Editor for the Journal of Expert Systems (Wiley, IF 3.3), and invited editor for Expert Systems, Springer Neural Computing and Applications, and Springer Soft Computing journals.
He served as external examiner for PhDs, MPhil and MRes for Universities of Luxembourg, Aberystwyth, Coventry, East Anglia, Huddersfield, Hull, Liverpool, Liverpool John Moores, Northumbria, Sheffield, Sunderland, Ulster, York, and External Examiner for undergraduate and postgraduate Computer Science and Artificial Intelligence degrees at University of Huddersfield, Northumbria University and University of Liverpool.
Professor CD Neagu is invited Expert for EC Horizon Europe MSCA, IHI, H2020, IMI, EPSRC, AHRC, MRC, BBSRC, ESRC, STFC, NIHR and a number of international research councils (Canada, Chile, Cyprus, Austria, France). He has been accepted on the Higher Education Academy register of practitioners in 2006, is AHE/HEA Fellow since 2007, and contributed to the UKCGE (UK Council for Graduate Education) Postgraduate Funding and Resourcing Working Group (2014-2015).
Professor Ciprian Daniel Neagu coordinates Statistical Applications of Industrial Big Data, Software Design and Development, Final Year Project. He has proposed/ coordinated and re-designed Big Data Systems and Analytics, 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 delivers/ed modules, presentations and invited training sessions to SAFI - Automotive Research Centre - University of Bradford, BBC Academy, 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | The importance of scaling in data mining for toxicity prediction. (2002) |
Authors | Mazzatorta, P.; Benfenati, E.; Neagu, Daniel; Gini, G. |
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 | 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 |
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 | 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 |
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) |
---|---|
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. |
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. |
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 |
Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring (2019) | Mishra B.;Thakker D.;Mazumdar S.;Simpson S.;Neagu D. |
Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling (2019) | Murphy O.;Zadeh E.;Campean F.;Neagu D. |
On Selection of Optimal Classifiers (2019) | Rado O.;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. |
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. |
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. |
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. |
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. |
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. |
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. |
Algorithms for data retrieval from online social network graphs (2010) | Abdulrahman R.;Alim S.;Neagu D.;Ridley M. |
Software stage-effort estimation based on association rule mining and Fuzzy set theory (2010) | Azzeh M.;Cowling P.;Neagu D. |
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. |
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. |
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. |
A partial coverage based approach to classification (2007) | Huang Y.;Guo G.;Neagu D. |
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. |
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. |
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. |
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. |
Hybrid intelligent systems for predictive toxicology - A distributed approach (2005) | Neagu D.;Craciun M.;Stroia S.;Bumbaru S. |
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. |