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Professor Daniel Neagu

Professor Daniel Neagu

BIOGRAPHY +

Daniel Neagu was appointed Professor of Computing 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 from Technical University of Iasi and a BSc (Hons) 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 Toxicology, Software Engineering, Online Social Networks, Data Quality, Big Data, Healthcare. Daniel's 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 Daniel's work addresses applications as diverse as health, security and entertainment.

Daniel leads the Artificial Intelligence Research Group (AIRe). He is member of IEEE Computer Society and Computational Intelligence Society, ACM Association for Computing Machinery, British Computer Society (BCS The Chartered Institute for IT), and committee member of the BCS SGAI (Specialist Group on Artificial Intelligence) 2011-2013. Daniel Neagu served as the General Chair of UKCI2014 the 14th Annual Workshop on Computational Intelligence, Deputy Technical Programme Chair for BCS SGAI AI Conference in 2011, 2012 and 2013 (Cambridge, UK), and invited editor for the Expert Systems journal 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, Huddersfield, Hull, Liverpool, Ulster, Sunderland, Sheffield, Liverpool John Moores and East Anglia.

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 Data Mining, Data Structures and Algorithms, and leads the Computer Science undergraduate (BSc Hons) and postgraduate (MSc) programmes. He has coordinated Software Development (at UG and PGT level), Group Project, Data Fusion, Artificial Intelligence with Applications, and Computer Architecture and Systems academic modules. He has also delivered modules, presentations and invited training sessions to BBC Academy, NATO training courses, EC FPs consortia schools, and coordinated data hackathons and research seminars series.

GRANTS +

Current, and significant recent, funded projects

Innovate UK: Binnovation (Smart Cities Recycling (2015-2017, PI, £85,500);

Innovate UK and Hebe Works Leeds KTP on Open Data for Smart Cities (2015-2017, Co-I, £103,454);

FP7-HEALTH (Computational modelling and estimation techniques) COSMOS (2011-2015): Integrated In Silico Models for the Prediction of Human Repeated Dose Toxicity of COSMetics to Optimise Safety (WP leader: €565,000) http://www.cosmos-tox.eu/

University of Bradford HEIF-funded project on the International Dementia Care Mapping (DCM) Database (2013-2015, CI), with Prof Claire Surr

Lhasa PhD studentship: A knowledge based approach to the influence of formulation on predictions of toxicity (2012-2015, PI)

Yorkshire Innovation Fund and European Regional Development Fund project Codeanywhere (2013-2014, PI) with Dr Paul Trundle

KTP with Syngenta Ltd (2010-2012): Data and Model Governance with Applications in Product Safety (Knowledge Base Supervisor, £164,666)

BBSRC PhD CASE with Syngenta Ltd (2010-2014): Data Mining Applications in Product Safety (PI, £103,110)

SCIM research studentship fund (2009-2010): Towards Data Governance for International Dementia Care Mapping (PI, £13,500)

EPSRC GR/T02508/01 (2004-2006): Predictive Toxicology Knowledge Representation and Processing Tool based on a Hybrid Intelligent Systems Approach (Principal Investigator, £100,072)

EPSRC+CSL CNA (2004-2007): Hybrid Intelligent Systems Applied to Predict Pesticides Toxicity (£63,190)

CSL Seedcorn (2004-2007): Development of artificial intelligence-based in-silico toxicity models for use in pesticide risk assessment (£47,500)

EC FP5 Quality of Life DEMETRA QLRT-2001-00691 (2003-2006): Development of Environmental Modules for Evaluation of Toxicity of pesticide Residues in Agriculture (WP Coordinator, £60,420; University of Bradford subcontract £2,000)

EC FP5 KDNet workshop case: Knowledge Discovery and Data Mining applications for Human Health and Environmental Sciences (Workshop Coordinator, £995)

University Research Investment Fund (2003): Knowledge Discovery and Data mining in BioChemistry (Principal Investigator, £1,900)

University Research Travel Grant (2003): Intelligent Techniques for Biology and Chemistry (Principal Investigator, £650)

He has also contributed as Principal Investigator/ Co-Investigator for a number of research projects funded by the Romanian Research Council CNCSIS:

CNCSIS AT 23/68 (2001): Neuro-fuzzy knowledge-based system for short time prediction of air quality in urban and industrial environment (Principal Investigator)

CNCSIS 403/1999 (1999): A study on the development of Hybrid Neuro-Fuzzy Agents in Multi-Agent Systems (Co-Investigator)

AWARDS AND RECOGNITION +

IEEE Technical Expert, the IEEE Public Visibility Programme (2010).
Journal special issue editor for Springer Soft Computing, Wiley Expert Systems, Springer Neural Computing & Applications (2012-to date).
Best Student Paper award with PhD student Yousef Alqasrawi and Professor Peter Cowling, IEEE International Conference on Intelligent Systems Design and Applications (ISDA) 2009, IEEE Computer Society, Pisa, Italy.

INTERNATIONAL SCIENTIFIC ACTIVITIES +

General Chair: the 14th UK Workshop on Computational Intelligence: UKCI2014
Selected Invited Talks/Seminars:
-Data and Models Governance, UK Symposium on Knowledge Discovery and Data Mining UK KDD, London (29 Sept 2011)
-Privacy and Vulnerability in Online Social Networks, BCS CAS Inventing the Future (March 2011)
-IEEE leadership panel Thought Leader Perspectives: Engineering Education Role in Bridging Creativity and Relevance to Deliver Tomorrow Solutionist (Dec 2010)
-IET Prestige Series: 2009, 2010
-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, 7-8 July 2005
-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, 8-9 June 2005
-Invited Departmental Seminar: Knowledge Representation in Hybrid Intelligent Systems, Oxford University Computing Laboratory, 9 March 2004
-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, 10-19 July 2003
-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, 3-5 October 2002
-A hybrid intelligent system applied in toxicity data mining, Stockholm Bioinformatics Center, 17 May 2002

International Journals Peer Review:
International Journal of Applied Intelligence, Springer US (Review Board).
International Journal of Hybrid Intelligent Systems, IOS Press (Editorial Board).
International Journal on Knowledge-Based & Intelligent Engineering Systems KES, IOS Press (Review Board).
Expert Systems, the Journal of Knowledge Engineering, Blackwell Publishing.
Information Fusion, Elsevier.
Various Journals, Springer Netherlands.
Neural Computing & Applications, Springer London.
International Journal on Artificial Intelligence Tools - IJAIT (special Issue on Recent Advances in Techniques for Intelligent Systems), World Scientific Publishing.
Fuzzy Sets and Systems (special issue on Bioinformatics), Elsevier.
International Journal of Fuzzy and Intelligent Systems, IOS Press.
International Journal of Computational Intelligence and Applications, World Scientific Publishing.

Member of the Programme Committees for:
-Deputy Technical Programme Chair, SGAI International Conference on Artificial Intelligence, Cambridge, England, 2011-2013
-Int'l Conf on Machine Learning and Applications ICMLA 2003, 2005, 2010, 2011, 2015
-UK Workshop on Computational Intelligence UKCI 2007-2017
-Int'l Conf of Advanced Data Mining and Applications ADMA 2005-2011
-The 15th East-European Conference on Advances in Databases and Information Systems ADBIS 2011, Vienna
-Int'l Conf on Knowledge-Based Intelligent Information & Engineering Systems: KES 2002-2006
-IEEE Int'l Conf on Tools with Artificial Intelligence ICTAI 2007, Patras, Greece
-22 British National Conf on Databases, Workshop on Data Mining BNCOD 2005
-Special Track Integrated Intelligent Systems, FLAIRS Int'l Conf, 16-18 May 2005, Florida, USA

INTERNATIONAL PROFILE +


Fellowships of Professional Institutions or equivalent

Fellow of Higher Education Academy - HEA
[2006]

MBCS (member of British Computer Society)
[2005]

MIEEE (member of Institute of Electrical and Electronics Engineers) and member of IEEE Computational Intelligence Society
[2005]

MACM (member of Association for Computing Machinery)
[2002]


International Conference Organisation

Reviewer, Higher Education Academy Subject Centre for Information and Computer Sciences' 10th Annual Conference
[2009]

Reviewer, IEEE SMC 2009
[2009]

Program Committee member for the 20th International Conference on Tools with Artificial Intelligence ICTAI-08, November 3-5, 2008, Dayton, Ohio, USA
[2008]

Program Committee Member, the Fourth International Conference on Advanced Data Mining and Applications ADMA 2008, Chengdu, China, 25-27 July 2008
[2008]

Programme Committee Member of the 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008) in conjunction with the 18th European Conference on Artificial Intelligence (ECAI 2008), 21-22 July 2008, University of Patras, Patras, Greece
[2008]

Member of the Programme Committee of the 2008 UK Workshop on Computational Intelligence UKCI2008, De Montfort University, Leicester, Sept 10-12 2008
[2008]

International Program Committee (IPC) member of the 3rd International Symposium Advances in Artificial Intelligence and Applications (AAIA'08), Wisla, Poland, 20-22 October 2007
[2008]

Member of the Program Committee of the International conference on Software, Knowledge, Information Management and Application SKIMA'08, 18-21 March 2008, Kathmandu, Nepal
[2007]

Member of the Technical Committees for IJCNN08 and FUZZ-IEEE 2008, the 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), Hong Kong, 1-6 June 2008
[2007]

Member of the International Program Committee, the Sixth International Conference on Machine Learning and Applications (ICMLA'07), 13-15 Dec. 2007, Kingsgate Marriott Conference Hotel at University of Cincinnati, Cincinnati, Ohio, USA
[2007]

Programme Committee Member of the 2007 UK Workshop on Computational Intelligence UKCI 2007, Imperial College London, 23 July 2007
[2007]

Member of the Technical Program Committee of the Third International Conference on Advanced Data Mining and Applications (ADMA07), Harbin, China, August 6-8, 2007
[2007]

International Program Committee (IPC) member of Symposium on Advances in Artificial Intelligence and Applications, Wisla, Poland, 15-17 October 2007
[2007]

Programme Committee member of the 19th IEEE International Conference on Tools with AI (ICTAI-07), Patras, Greece, 29-31 October 2007
[2007]


International Plenary Lectures, Conference Keynote

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)
[2010]

The Institution of Engineering and Technology (IET) invited talk: Information Quality in e-learning (with Mona AlKhattabi and Dr. Andrea Cullen)
[2009]


Membership of Research Council Peer Review College

Invited project evaluator for EPSRC, The Leverhulme Trust, European Commission Innovative Medicines Initiative and Beilstein Institute (Germany)

Project Evaluator for MRC

Referee for Royal Society
[2012]

External expert reviewer for Higher Education Academy (ICT Development Funds)
[2007]


Other

PhD External Examiner, University of Ulster [2012]

PhD External Examiner, University of Sunderland [2012]

MPhil external examiner, University of Huddersfield
[2009]

PhD internal examiner, University of Bradford (EIMC)
[2008]

PhD internal examiner, University of Bradford (Computing)
[2007]

Invited review board member for the Journal of Environmental Monitoring and Assessment, Springer Netherlands
[2007]

Invited review board member for the Journal of Neural Computing and Applications (Springer London)
[2007]

Invited review board member for the International Journal of Computers and Applications, ActaPress
[2007]

Invited review board member for Expert Systems, the Journal of Knowledge Engineering, Blackwell Publishing
[2006]

Invited review board member for the International Journal of Knowledge-Based & Intelligent Engineering Systems KES, IOS Press
[2006]

Member of the Editorial Board of the International Journal of Hybrid Intelligent Systems, IOS Press
[2004]

Invited reviewer, American Chemical Society (ACS)
[2004]

RESEARCH STAFF +

Dr. Pritesh Mistry (KT Associate): 2016-2017
Dr. Daniel Whitehouse (KT Associate): 2015
Dr. Anna Palczewska (PD Research Assistant): 2014-2015, now Research Fellow with Leeds Institute for Data Analytics, University of Leeds
Dr. Yang Lan (PD Research Assistant): 2011-2017
Dr. Raluca Lefticaru (PD Research Assistant): 2015, now with Sheffield Hallam University
Dr. Longzhi Yang (PD Research Assistant): 2011-2014, now Lecturer, University of Northumbria
Dr. Richard Marchese-Robinson (PD KTP Associate): 2012-2013, now PD Research Assistant at LJMU
Dr. Xin Fu (PD KTP Associate): 2010-2012, now Assistant Professor, Department of Management Science, Xiamen University, China
Dr. Urszula Markowska-Kaczmar (Senior Visiting Research Fellow, Wroclaw University of Technology): 2015
Dr. Jonathan Vessey (Senior Visiting Research Fellow, LHASA): 2015-2016
Dr. Sohair Al-Hakeem (Visiting Research Fellow, Applied Science Technology College/Oman): 2009
Dr. Gongde Guo (PD Research Assistant): 2004-2006, now Professor, Department of Computer Science, Normal Fujian University, China
Mr. Xuming Huang (Visiting Research Fellow, Normal Fujian University): 2006
Ms. Shanshan Wang (Visiting Research Fellow, Nanjing University of Aeronautics and Astronautics): 2005

RESEARCH STUDENTS +

Current research students:
Aisyah Mat Jasin: Data Quality in Big Data (with Dr Attila Csenki)
Omololu Makinde: Data Mining of Multi-Agent System-based Models (with Professor Marian Gheorghe)
Omesaad Rado: Using Decision Tree Techniques in Detecting Trends in Healthcare Data (with Professor Allan Kellehear)
Najat Ali: Heterogeneous Data Clustering (with Mick Ridley)
Ebtesam Taktek: Heterogeneous Data Representation (With Mick Ridley)
Muna Al Fanah: Clustering Algorithms (with Dr Attila Csenki)
Ahmad Idris Tambuwal: Sensor Data Streams Quality and Processing (with Professor Marian Gheorghe)
Natasha Micic: AAA Engineering Data Quality (with Dr Attila Csenki)
Caroline Duvier: Sustainable Housing Data Governance (with Professor Crina Oltean-Dumbrava and Dr Prathivadi Anand)
Research students in writing-up stage:
Haruna Isah: Knowledge Discovery in Drugs Anti-counterfeiting (with Dr Paul Trundle)
Graduated:
Dr Shehla Khalid: Dementia Care Mapping (DCM) data warehouse (2016)
Dr Pritesh Mistry: A knowledge based approach to the influence of formulation on predictions of toxicity (2016)
Dr Rodolfo Gonella Diaza: (Q)SAR Applicability Domain assessment (OU ARC, with Prof. E. Benfenati, 2015)
Dr Anna Palczewska (Wojak) (PhD): Interpretation, Identification and Reuse of Models: Theory and Algorithms with Applications in Predictive Toxicology (2014)
Dr May Al-Nashashibi (PhD): Arabic Language Processing for Text Classification (2013)
Dr Yasmina Bashon (PhD): Contributions to Fuzzy Object Comparison and Applications (2013)
Dr Rita Ochuko (PhD): E-banking Operational Risk Assessment: A Soft Computing Approach in the Context of the Nigerian Banking Industry (2013)
Dr Yousef Alqasrawi (PhD): Natural Scene Classification, Annotation and Retrieval (2012)
Dr Ruqayya Abdulrahman (PhD): Multi Agent System for Web Database Processing (2012)
Dr Mokhairi Makhtar (PhD): Contributions to Ensembles of Models for Predictive Toxicology Applications (2012)
Dr Sophia Alim (PhD): Vulnerability in online social network profiles (2012)
Dr Mona Alkhattabi (PhD): Semantic Web Mining for Quality Information used in E-Learning (2010)
Shehla Khalid (MPhil): Towards Data Governance for International Dementia Care Mapping (with Dr Claire Surr, School of Health, 2010)
Dr Mohammad Azzeh (PhD): Analogy-Based Software Project Effort Estimation (2010)
Dr Yang Lan (PhD): Computational Approaches for Time Series Analysis and Prediction - Data-Driven Methods for Pseudo-Periodical Sequences (2009)
Dr Ladan Malazizi (PhD): Development of Artificial Intelligence-based In-Silico Toxicity Models for Use in Pesticide Risk Assessment - Data Quality Analysis and Model Performance Enhancement through Data Generation (2009)
Dr Muna Hatem Aljepoori (PhD): A Framework for Semantic Web Implementation based on Context-Oriented Controlled Automatic Annotation (2009)
Dr Paul Trundle (PhD): Hybrid Intelligent Systems Applied to Predict Pesticides Toxicity - a Data Integration Approach (2008)
Areej Shhab (MPhil): Applications of ML techniques for Data Mining (2005)
Shuai Zhang (MPhil): Visual Arts Data Mining (2005)

PUBLICATIONS

Published Books +

  • Negoita M., Neagu D. and Palade V. (2005): "Computational Intelligence - Engineering of Hybrid Systems, Series: Studies in Fuzziness and Soft Computing, Vol. 174", Springer, Series in Fuzziness . ISBN: 978-3-540-23219-3.
    For more information see: http://www.springer.com/engineering/book/978-3-540-23219-3
  • Neagu D. and Neagu D. (2002): "Hypermedia", Matrix Rom, Bucharest ISBN: 973-685-328-4.
  • Neagu D. and Bumbaru S. (2001): "Multimedia Systems. Computer Graphics", Matrix Rom, Bucharest ISBN: 973-685-315-2.
  • Neagu D. and Palade V. (2001): "Hybrid Intelligent Systems (2 volumes: vol. 1 - "Hybrid Intelligent Systems: Transformation Systems", authors: V. Palade & C.D. Neagu, and vol. 2 - "Hybrid Intelligent Systems: Combination Systems", authors: C.D. Neagu & V. Palade)", Matrix Rom, Bucharest.

Edited Books +

Journal Publications +

  • Mistry P., Neagu D., Sanchez-Ruiz A., Trundle P.R. and Vessey P.R. (2017): "Prediction of the effect of formulation on the toxicity of chemicals" Toxicology Research, Royal Society of Chemistry, 6 (1): 42-53.
    For more information see: http://dx.doi.org/10.1039/C6TX00303F
  • Mistry P., Neagu D., Trundle P.R. and Vessey J.D. (2016): "Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology" Journal of Soft Computing, Springer , Berlin Heidelberg, 20 (8): 2967–2979.
    For more information see: http://link.springer.com/article/10.1007%2Fs00500-015-1925-9
  • Richarz A.N., Alov P., Enoch S.J., Neagu D. and et al (2015): "In silico chemistry-based workflows to facilitate ADMET prediction for cosmetics-related substances" Toxicology Letters , 238 (2): S170.
  • Palczewska A.M., Neagu D. and Ridley M.J. (2013): "Using Pareto Points for Model Identification in Predictive Toxicology" Journal of Cheminformatics, Chemistry Central, BioMed Central, doi:10.1186/1758-2946-5-16, Springer, 5 (16).
    For more information see: http://www.jcheminf.com/content/5/1/16/
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  • Palczewska A., Fu X., Trundle P.T., Yang L. and Neagu D. (2013): "Towards Model Governance in Predictive Toxicology" International Journal of Information Management, Elsevier, 33 (3): 567-582.
    For more information see: http://www.journals.elsevier.com/international-journal-of-information-management
  • Yang L., Neagu D., Cronin M.T., Hewitt M. and Enoch M. (2013): "Towards a Fuzzy Expert System on Toxicological Data Quality Assessment" Molecular Informatics, Wiley, Weinheim, 32 (1): 65-78.
    For more information see: http://onlinelibrary.wiley.com/doi/10.1002/minf.201200082/pdf
  • Bashon Y., Neagu D. and Ridley M.J. (2013): "A Framework for Comparing Heterogeneous Objects: on the Similarity Measurements for Fuzzy, Numerical and Categorical Attributes, DOI: 10.1007/s00500-012-0974-6" Soft Computing, Springer, Heidelberg, 17 (9): 1595-1615.
    For more information see: http://link.springer.com/article/10.1007%2Fs00500-012-0974-6
  • Abdulrahman R., Neagu D., Holton DRW, Ridley M.J. and Lan Y. (2013): "Data Extraction from Online Social Networks Using Application Programming Interface in a Multi Agent System Approach" LNCS Transactions on Computational Collective Intelligence, Springer-Verlag, Berlin Heidelberg, 11 88-118.
    For more information see: http://link.springer.com/chapter/10.1007%2F978-3-642-41776-4_4
  • Alim S., Neagu D. and Ridley M.J. (2012): "A Vulnerability Evaluation Framework for Online Social Network Profiles: Axioms and Propositions" International Journal of Internet Technology and Secured Transactions, Inderscience, London, 4 (2/3): 198-206.
    For more information see: http://www.inderscience.com/dev/search/index.php?action=record&rec_id=47961
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  • Alqasrawi Y., Neagu D. and Cowling P.I. (2011): "Fusing Integrated Visual Vocabularies-Based Bag of Visual Words and Weighted Colour Moments on Spatial Pyramid Layout for Natural Scene Image Classification" Signal, Image and Video Processing, Springer, 7 (4): 759-775.
    For more information see: http://www.springerlink.com/content/b06h4h310u7t1441/
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  • Fu X., Wojak A., Neagu D., Ridley M.J. and Travis M.J. (2011): "Data governance in predictive toxicology: A review" Journal of Cheminformatics, Chemistry Central, BioMed Central, Springer, 3 (24): 1-16.
    For more information see: http://www.jcheminf.com/content/3/1/24
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  • Alkhattabi M., Neagu D. and Cullen A.J. (2011): "Assessing Information Quality of E-learning Systems: A web mining approach" Computers in Human Behaviour, Elsevier, 27 (2): 862-873.
    For more information see: http://www.elsevier.com/wps/find/journaldescription.cws_home/759/description
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  • Azzeh M.Y., Neagu D. and Cowling P. (2011): "Analogy-Based Software Effort Estimation Using Fuzzy Numbers" Journal of Systems and Software, Elsevier, 84 (2): 270-284.
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  • Alim S., Abdulrahman R., Neagu D. and Ridley M.J. (2011): "Online Social Network Profile Data Extraction for Vulnerability Analysis" International Journal of Internet Technology and Secured Transactions, Inderscience, 3 (2): 194-209.
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  • Alkhattabi M., Neagu D. and Cullen A. (2010): "Information quality framework for e-learning systems" Knowledge Management & E-Learning: An International Journal (KM&EL), The University of Hong Kong, Hong Kong, 2 (4): 340-362.
    For more information see: http://www.kmel-journal.org/ojs/index.php
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  • Azzeh M.Y., Neagu D. and Cowling P. (2010): "Fuzzy Grey Relational Analysis for Software Effort Estimation" Empirical Software Engineering, Springer, US, 15 (1): 60-90.
    For more information see: http://www.springer.com/computer/swe/journal/10664
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  • Neagu D., Guo G., Trundle P.R. and Cronin M.T. M.T.(2007): "A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining" Journal of Alternatives to Laboratory Animals ATLA, FRAME, Nottingham, UK, 35 (1): 25-32.
  • Vracko M., Cronin M.T., Devillers J., Neagu D. and et al. (2006): "Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study" SAR & QSAR in Environmental Research, Taylor and Francis, 17 (3): 265-284.
  • Guo G. and Neagu D. (2005): "Fuzzy kNNModel Applied to Predictive Toxicology Data Mining" International Journal of Computational Intelligence and Applications (IJCIA), World Scientific Publishing Co., 5 (3): 321-333.
    For more information see: http://ejournals.wspc.com.sg/ijcia/05/0503/S1469026805001635.html
  • Neagu D. and Palade V. (2003): "A Neuro-Fuzzy Approach for Functional Genomics Data Interpretation and Analysis" Journal of Neural Computing and Applications, Springer-Verlag, London, Computer Science, 12 (3-4): 153-159.
    For more information see: http://www.springerlink.com/content/0941-0643
  • Mazzatorta P., Benfenati E., Neagu C.D. and Gini G. G.(2003): "Tuning neural and fuzzy-neural networks for toxicity modelling" Journal of Chemical Information and Computer Sciences, American Chemical Society, Washington, 43 (2): 513–518.
    For more information see: http://pubs.acs.org/cgi-bin/abstract.cgi/jcisd8/2003/43/i02/abs/ci025585q.html
  • Mazzatorta P., Benfenati E., Neagu C.D. and Gini G. (2002): "The importance of scaling in data mining for toxicity prediction" Journal of Chemical Information and Computer Sciences, American Chemical Society, Washington, 42 (5): 1250-1255.
    For more information see: http://pubs.acs.org/cgi-bin/abstract.cgi/jcisd8/2002/42/i05/abs/ci025520n.html
  • Neagu C.D., Avouris N.M., Kalapanidas E. and Palade V. V.(2002): "Neurosymbolic Integration in a Knowledge-based System for Air Quality Prediction" Applied Intelligence (The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies), Kluwer Academic Publishers, 17 (2): 141-169.
  • Neagu C.D., Georgescu L.P. and Popescu F. (2002): "Prediction of the Toxicity of Some Aromatic Compounds Using a Neuro-Fuzzy Method" Journal of Environmental Engineering and Management, 1 (3): 383-393.
  • Neagu C.D. and Bumbaru S. (2001): "An Interactive Fuzzy Operator Used To Interpret Connectionist Knowledge" Journal of Control Engineering and Applied Informatics, Romanian Society of Control Engineering and Tech, Bucharest, 3 (3): 53-59.
  • Neagu C.D. and Palade V. (2000): "An interactive fuzzy operator used in rule extraction from neural networks" Neural Network World: the International Journal on Neural and Mass-Parallel Computing and Information Systems, Academy of Sciences of the Czech Republic, Prague, 10 (4): 675-684.

Chapters in Books +

  • Palczewska A.M., Palczewski J., Marchese-Robinson R. and Neagu D. (2014): "Interpreting Random Forest Classification Models Using a Feature Contribution Method", Integration of Reusable Systems, Advances in Intelligent Systems and Computing series, Vol. 263, Bouabana-Tebibel, Thouraya; Rubin, Stuart Harvey (ed.), Springer International Publishing ISBN: 978-3-319-04717-1, pp. 193-218.
    For more information see: http://link.springer.com/chapter/10.1007/978-3-319-04717-1_9
  • Lan Y. and Neagu D. (2011): "Chapter 8. A New Approach and Its Applications for Time Series Analysis and Prediction Based on Moving Average of nth-order Difference", Data Mining: Foundations and Intelligent Paradigms, ISRL 24, D. Holmes and L.C. Jain (eds.), Springer-Verlag, Berlin Heidelberg, pp. 157-182.
  • Alkhattabi M., Neagu D. and Cullen A.J. (2011): "Chapter 12: User perceptions of information quality in e-learning systems: a gender and cultural perspective", Globalization Technology Diffusion and Gender Disparity: Social Impacts of ICTs, R. Pande and T. van der Weide (eds.), IGI Global ISBN: 1466600209, pp. 138-145.
    For more information see: http://www.igi-global.com/book/globalization-technology-diffusion-gender-disparity/56037
  • Ochuko R., Cullen A.J. and Neagu D. (2011): "Chapter 8: E-banking Operational Risk Management using Soft Computing Tools", Strategic and Pragmatic E-Business: Implications for Future Business Practices, K.M. Rezaul (ed.), IGI Global, pp. 176-202.
    For more information see: http://www.igi-global.com/book/strategic-pragmatic-business/61641
  • Neagu D. et al (2007): "Chapter 2. Databases for pesticide ecotoxicity, Chapter 4. Algorithms for (Q)SAR models building, Chapter 5. Hybrid systems, Chapter 9. Use of the DEMETRA models", Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes, E. Benfenati (ed.), Elsevier ISBN: 978-0-444-52710-3.
    For more information see: http://www.elsevier.com/wps/find/bookdescription.cws_home/710506/description#toc
  • Neagu D., Craciun M., Chaudhry Q. and Price N. (2007): "Chapter 10. Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology", Life Science Data Mining, Stephen Wong, Chung Sheng Li (ed.), World Science Publishers ISBN: 978-981-270-065-0, pp. 213-238.
    For more information see: http://www.worldscibooks.com/lifesci/6268.html
  • Craciun M. V, Neagu D., Craciun C. A and Smiesko M. (2004): "A Study of Supervised and Unsupervised Machine Learning Methodologies for Predictive Toxicology ", Intelligent Systems in Medicine , H.N. Teodorescu (ed.), Performantica, Iasi, Romania, pp. 61-69.
  • Neagu D. and Gini G. (2003): "Neuro-Fuzzy Knowledge Integration applied in Toxicity Prediction", Innovations In Knowledge Engineering, R. Jain, A. Abraham, C.Faucher, B.J. van der Zwaag (ed.), Advanced Knowledge International, Adelaide Australia ISBN: 0-9751004-0-8, pp. 311-342.

Conference Contributions +

  • Isah H., Neagu D. and Trundle P (2015): "Bipartite Network Model for Inferring Hidden Ties in Crime Data", Procs of Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM Int’l Conference on, pp.994-1001, ACM New York, Paris, France.
    For more information see: http://dl.acm.org/citation.cfm?doid=2808797.2808842
  • Isah H., Neagu D. and Trundle P.R. (2014): "Social Media Analysis for Product Safety using Text Mining and Sentiment Analysis", Procs, Computational Intelligence (UKCI), 2014 14th UK Workshop on, Bradford, UK.
    For more information see: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6930158
  • Palczewska A.M., Palczewski J., Marchese-Robinson R. and Neagu D. (2013): "Interpreting random forest models using a feature contribution method", IEEE 14th International Conference on Information Reuse & Integration IRI 2013, August 14-16, 2013, pp. 112-119, San Francisco, CA, USA.
    For more information see: http://www.dx.doi.org/10.1109/IRI.2013.6642461
  • Yang L. and Neagu D. (2013): "Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution", 2013 IEEE International Conference on Fuzzy Systems (FUZZ), pages 1-8, Hyderabad, India.
    For more information see: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6622304
  • Yang L. and Neagu D. (2012): "Towards the Integration of Heterogeneous Uncertain Data", Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration IEEE IRI 2012 (Eds: C. Zhang C., J. Joshi, E. Bertino, B. Thuraisingham), 8-10 August 2012, pp. 295-302, Las Vegas, NV, USA.
  • Fu X., Travis K., Neagu D., Ridley M.J. and Shen Q. (2012): "Fuzzy Complex Number Aided Evaluation of Predictive Toxicology Models", The 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012), Brisbane, Australia.
    For more information see: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6251331
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  • Makhtar M., Yang L., Neagu D. and Ridley M.J. (2012): "Optimisation of Classifier Ensemble for Predictive Toxicology Applications", Procs of the 2012 UKSim 14th International Conference on Modelling and Simulation, pp.236-241, IEEE CS, Emmanuel College, Cambridge, UK.
  • Bashon Y., Neagu D. and Ridley M.J. (2011): "Fuzzy Set-Theoretical Approach for Comparing Objects with Fuzzy Attributes ", Proceedings of the 11th International Conference on Intelligent Systems Design and Applications ISDA 2011, 22-24 November 2011, pp. 754-759, IEEE Xplore, Córdoba, Spain.
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  • Makhtar M., Neagu D. and Ridley M.J. (2011): "Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications", Proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning IDEAL 2011, 7-9 September 2011, pp. 252-261, LNCS 6936 Springer, Norwich, UK.
  • Wojak A.M., Neagu D. and Ridley M.J. (2011): "Double Min-Score (DMS) Algorithm for Automated Model Selection in Predictive Toxicology, pp 150-156", Procs of the 11th Annual Workshop on Computational Intelligence UKCI 2011, Manchester, UK.
    For more information see: http://ukci.cs.manchester.ac.uk/
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  • Makhtar M., Neagu D. and Ridley M.J. (2011): "Binary Classification Models Comparison: on the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications", Proceedings of the 2nd International Conference on Information Technology in Bio- and Medical Informatics ITBAM 2011, August 29 - September 2 2011. pp. 108-122, LNCS 6865, Springer, Toulouse, France.
  • Abdulrahman R., Neagu D. and Holton DRW (2011): "Multi Agents System for Historical Information Retrieval from Online Social Networks", Proceedings of the 5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications KES AMSTA 2011, 30 June - 1 July 2011, pp. 54-63, LNCS 6682, Springer, Manchester, UK.
    For more information see: http://www.kesinternational.org/
  • Abdulrahman R., Holton DRW, Neagu D. and Ridley M.J. (2011): "Formal Specification of Multi Agents System for Historical Information Retrieval from Online Social Networks ", Proceedings of the 5th International KES Conference on Agents and Multi-agent Systems – Technologies and Applications KES AMSTA 2011, 30 June-1 July 2011, pp. 83-94, LNCS 6682, Springer, Manchester, UK.
    For more information see: http://www.kesinternational.org/
  • Alim S., Neagu D. and Ridley M.J. (2011): "Axioms for vulnerability measurement of online social network profiles", Proceedings of the International Conference on Information Society (i-Society), 27-29 June 2011, pp. 241-247, IEEE Xplore, London, UK.
  • Alqasrawi Y., Neagu D. and Cowling P. (2010): "Spatial Pyramid Local Keypoints Quantization for Bag of Visual Patches Image Representation", Procs 10th International Conference on Intelligent Design and Applications ISDA10, 29 November - 1 December 2010, pp. 1270-1274, IEEE , Cairo, Egypt.
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  • Al-Nashashibi M., Neagu D. and Yaghi A. (2010): "An improved root extraction technique for Arabic words", 2nd International Conference on Computer Technology and Development, ICCTD 2010, 2-4 Nov 2010, pp. 264-269, IEEE, Cairo, Egypt.
    For more information see: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5645872
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  • Al-Nashashibi M., Neagu D. and Yaghi A. (2010): "Stemming Techniques for Arabic Words: A Comparative Study", 2nd International Conference on Computer Technology and Development, ICCTD 2010, 2-4 Nov 2010, pp. 270-276, IEEE, Cairo, Egypt.
    For more information see: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5645873
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  • Makhtar M, Neagu D. and Ridley M. (2010): "Predictive Model Representation and Comparison: Towards Data and Predictive Models Governance", Proceedings of the 10th UK Workshop on Computational Intelligence UKCI 2010 (IEEE Xplore), pages 1-6, Colchester, UK.
    For more information see: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5625573
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  • Khalid S., Surr C. and Neagu D. (2010): "DCM Data Management Framework: A Data Warehousing Approach", Procs of the 1st International Conference on Information Technology in Bio- and Medical Informatics ITBAM 2010, Sept 1-2 2010, pp. 45-56, LNCS 6266, Springer, Bilbao, Spain.
  • Abdulrahman R., Alim S., Neagu D. and Ridley M (2010): "Algorithms for Data Retrieval from Online Social Network Graphs", Procs of the 10th IEEE International Conference on Computer and Information Technology June 29-July 1, 2010, pp. 1660-1666, IEEE CS, Bradford, UK.
  • Bashon Y., Neagu D. and Ridley M. (2010): "A New Approach for Comparing Fuzzy Objects", 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU-2010, June 28 - July 02 2010. Springer Communications in Computer and Information Science, Volume 81/2, pp. 115-125, Dortmund, Germany.
  • Azzeh M.Y., Neagu D. and Cowling P. (2010): "Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory", Procs of the 10th IEEE International Conference on Computer and Information Technology June 29-July 1, 2010, pp. 249-256, IEEE CS, Bradford, UK.
  • Alkhattabi M., Neagu D. and Cullen A. (2010): "Validating an information quality framework for e-learning systems: an empirical approach", 15th International Conference on Software Process Improvement Research, Education and Training INSPIRE XV, pp. 47–54, ISBN 978-0-9557300-7-8, BCS London, UK.
  • Alqasrawi Y., Neagu D. and Cowling P. (2009): "Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout", The 9th Intl Conf on Intelligent Design and Applications ISDA 09 pp. 140-145, IEEE Computer Society, Best Student Paper Award, Pisa, Italy.
    For more information see: http://cig.iet.unipi.it/isda09/
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  • Alim S., Abdul-Rahman R., Neagu D. and Ridley M. (2009): "Data Retrieval from Online Social Networking Profiles for Social Engineering Applications ", Procs of the 4th International Conference for Internet Technology and Secured Transactions ICITST-2009, pp. 1-5, Springer Lecture Notes in Computer Science, London, UK.
  • Ochuko R.E., Cullen A. and Neagu D. (2009): "Overview of Factors for Internet Banking Adoption", Procs of the International Conference on CyberWorlds (CW’09), IEEE Computer Society, pp.163-170, ISBN: 978-0-7695-3791-7, Bradford, UK.
  • Azzeh M.Y., Neagu D. and Cowling P. (2009): "Software Effort Estimation Based on Weighted Fuzzy Grey Relational Analysis", Procs of the Int'l Conf PRedictOr Models In Software Engineering PROMISE 2009, Vancouver, Canada.
    For more information see: http://promisedata.org/2009/program.html
  • Malazizi L., Neagu D. and Chaudhry Q. (2008): "Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-based Class-Boost Algorithm", Procs of the 8th Industrial Conference on Data Mining ICDM2008, July 16-18, 2008, Springer LNAI 5077, Advances in Data Mining (eds Petra Perner), pp. 165-176, ISSN 0302-9743, Leipzig, Germany.
  • Zhao C., Guo G., Huang X., Huang T. and Neagu D. (2008): "Data Reduction and Classification Based on Multiple Classifier Behaviour", Proceedings of the 4th International Conference on Data Mining DMIN 2008, July 14-17, 2008, Las Vegas, Nevada, USA, Robert Stahlbock, Sven F. Crone, Stefan Lessmann (eds), CSREA Press, pp. 78-83, ISBN: 1-60132-060-4, Las Vegas, USA.
    For more information see: http://www.dmin-2008.com/programme.htm
  • Azzeh M., Neagu D. and Cowling P. (2008): "Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic", Third International Conference on Software and Data Technologies ICSOFT 2008, Vol. SE/MUSE/GSDCA, July 5-8, 2008, José Cordeiro, Boris Shishkov, Alpesh Ranchordas, Markus Helfert (Eds.), INSTICC Press, ISSN 978-989-8111-52-4, pp. 127-132, Porto, Portugal.
  • Hatem M., Neagu D. and Ramadan H. (2008): "RDF Repository of Experts based on Context Oriented Automatic Annotation Framework", Second Asia International Conference on Modelling & Simulation, Asia Modelling Symposium AMS2008, 13-15 May 2008 (David Al-Dabass ed.), IEEE Computer Society, pp 29-34, ISBN 978-0-7695-3136-6, Kuala Lumpur, Malaysia.
  • Azzeh M., Neagu D. and Cowling P. (2008): "Improving Analogy Software Effort Estimation using Fuzzy Feature Subset Selection Algorithm", 4th International Workshop on Predictor Models in Software Engineering PROMISE08 (part of the 30th International Conference on Software Engineering ICSE08), May 12-13, 2008, ACM New York, pp. 71-78, ISSN 978-1-60558-036-4, Leipzig, Germany.
    For more information see: http://promisedata.org/?cat=131
  • Azzeh M., Neagu D. and Cowling P. (2008): "Software Project Similarity Measurement Based on Fuzzy C-means", International Conference on Software Process ICSP2008, Qing Wang, Dietmar Pfahl, David M. Raffo (Eds.), May 10-11, 2008, Springer-Verlag LNCS 5007, ISSN 978-3-540-79587-2, pp. 123-134, Leipzig, Germany.
  • Lan Y. and Neagu D. (2007): "A New Time Series Prediction Algorithm Based on Moving Average of nth-order Difference", 6th Int'l Conf. on Machine Learning and Applications ICMLA 2007 (M. Arif-Wani, M.M. Kantardzic, T. Li, L. Kurgan, J. Ye, M, Ogihara, S. Sagiroglu, X.W. Chen, L. Peterson, K. Hafeez eds.), IEEE Computer Society Press, pp. 248-253, ISBN 0-7695-3069-9, Cincinnati, Ohio, USA.
  • Trundle P.R., Neagu D., Craciun M. and Chaudhry Q. (2007): "Development of Multi-output Neural Networks for Data Integration A Case Study", 2nd Int'l Workshop on Hybrid Artificial Intelligence Systems (HAIS 07) E Corchado, JM Corchado, A Abraham (Eds.) Innovations in Hybrid Intelligent Systems, Springer Series: Advances in Soft Computing, Vol. 44/2008, pp. 80-87, ISBN: 978-3-540-74971-4, Salamanca, Spain.
  • Huang Y., Guo G. and Neagu D. (2007): "A Partial Coverage Based Approach to Classification", 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, IEEE Computer Society 2007, pp. 275-280, Patras, Greece.
    For more information see: http://www.informatik.uni-trier.de/~ley/db/conf/ictai/ictai2007-1.html
  • Huang X., Guo G., Neagu D. and Huang T. (2007): "Weighted kNNModel-based Data Reduction and Classification", Procs. of the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), IEEE Computer Society Press, pp. 689-695, ISBN: 978-0-7695-2874-8, Haikou, China.
  • Lan Y. and Neagu D. (2007): "Applications of the Moving Average of nth-order Difference Algorithm for Time Series Prediction", 3rd Int'l Conf. on Advanced Data Mining and Applications ADMA2007, (Reda Alhajj, Hong Gao, Xue Li, Osmar Zaane, Jianzhong Li eds.), Springer Verlag LNCS series 4632, pp. 264-275, ISBN 978-3-540-73870-1, Harbin, China.
    For more information see: http://www.springerlink.com/content/a1726n7224398830/
  • Trundle P.R., Neagu D. and Chaudhry Q. (2007): "Multi-source Data Modelling: Integrating Related Data to Improve Model Performance", Machine Learning and Data Mining in Pattern Recognition, 5th International Conference MLDM 2007, Leipzig, Germany, July 18-20, 2007. Proceedings, Springer LNCS 4571, pp. 32-46, ISSN 0302-9743, Leipzig, Germany.
  • Neagu D. and Guo G. (2006): "A Data-Driven Approach for Improved Effective Classification in Predictive Toxicology", IEEE International Conference on Computational Cybernetics ICCC 2006 (B. Patkai, I.J. Rudas, eds), 193-198, IEEE ISBN 1424400716, Tallinn, Estonia.
  • Neagu D, Guo G. and Wang S. (2006): "An Effective Combination based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining", the 2nd International Conference on Advanced Data Mining and Applications ADMA 2006, (X. Li, O. Zaiane, Z. Li eds.), 165-172, Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 4093, ISBN 3540370250, Xi'An, China.
  • Guo G., Neagu D., Huang X. and Bi Y. (2006): "An Effective Combination of Multiple Classifiers for Toxicity Prediction", the 3rd International Conference on Fuzzy Systems and Knowledge Discovery FSKD'06, L. Wang et al. eds., Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 4223, 481-490, Xi'an, China.
  • Guo G. and Neagu D. (2005): "Similarity-based Classifier Combination for Decision Making", 2005 IEEE International Conference on Systems, Man & Cybernetics IEEE SMC'2005, 10-12 October 2005, Waikoloa, Hawaii, USA, OmniPress, 176-181, Waikoloa Hilton Village, Hawaii, USA.
  • Neagu D., Craciun M.V., Stroia S.A. and Bumbaru S. (2005): "Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach", 5th International Conference on Intelligent Systems Design and Applications ISDA2005, 8-10 Sept. 2005, IEEE Computer Society Press, 26-31, Wroclaw, Poland.
  • Neagu D., Zhang S. and Balescu C. (2005): "A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifiers Ensembles applied for Visual Arts Data Ming", 5th International Conference on Intelligent Systems Design and Applications ISDA2005, 8-10 Sept. 2005, IEEE Computer Society Press, 245-250., Wroclaw, Poland.
  • Guo G., Neagu D. and Cronin M.T. (2005): "A Study on Feature Selection for Toxicity Prediction", The second International Conference on Fuzzy Systems and Knowledge Discovery FSKD2005, 27-29 August 2005, Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 3614, 31-34, Changsha, China.
  • Zhang S., Neagu D. and Balescu C. (2005): "Refinement of Clustering Solutions using a Multi-Label Voting Algorithm for Neuro-Fuzzy Ensembles", First International Conference on Natural Computation ICNC2005, 27-29 August 2005, Springer-Verlag Lecture Notes in Computer Science LNCS3612, 1300-1303, Changsha, China.
  • Guo G., Neagu D. and Cronin M.T. (2005): "Using kNN Model for Automatic Feature Selection", 3rd International Conference on Advances in Pattern Recognition ICAPR'05, Bath, UK.
    For more information see: http://www.informatik.uni-trier.de/~ley/db/conf/icapr/icapr2005-1.html
  • Shhab A., Guo G. and Neagu D. (2005): "A Study on Applications of Machine Learning Techniques in Data Mining", 22nd BNCOD, workshop on Data Mining and Knowledge Discovery in Databases, Sunderland, UK.
  • Hatem M.S., Ramadan H.A. and Neagu D. (2005): "e-Learning based on Context Oriented Semantic Web", First International Conference on E-Business and E-learning EBEL05, Amman, Jordan.
  • Neagu D., Craciun M. and Chaudhry Q. (2004): "Knowledge Specification for Versatile Hybrid Intelligent Systems", Procs of the 5th International Conference on Recent Advances in Soft Computing RASC 2004, 16-18 December 2004, ISBN 1-84233-110-8, 219-224, Nottingham, UK.
  • Neagu D., Craciun M., Chaudhry Q. and Price N. (2004): "Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology", Procs of the Workshop IEEE ICDM2004 - Life Sciences Data Mining, 87-94, Brighton, UK.
  • Craciun M. V, Neagu D., Stoica A., Avouris N. and Craciun C. A (2004): "Web Laboratory for Using Intelligent Mining Tools in Predictive Toxicology, ", Proceedings of The 12th International Symposium on Modeling, Simulation and Systems Identification SIMSIS 12, September 24-25, 2004, Eds. S. Caraman, A. Bratcu, L. Beldiman, Editura Fundaţiei Universitare Dunărea de Jos Galaţi Rom, Galati, Romania.
  • Neagu D. (2004): "A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems", Procs of ICINCO-ANNs 2004, ISBN 972-8865-13-9, 51-62, Setubal, Portugal.
  • Craciun M. V, Neagu D., Craciun C. A and Smiesko M. (2004): "A Study of Supervised and Unsupervised Machine Learning Methodologies for Predictive Toxicology", Procs of Third European Conference on Intelligent Systems and Technologies ECIT 2004, Eds. H.N. Teodorescu, E. Sofron, I. Bogdan, ISBN 973-7994-78-7, Ed. Performantica, Iaşi, ROMANIA.
  • Kalapanidas E., Avouris N.M., Craciun M.V. and Neagu D. (2003): "Machine learning algorithms: a study on noise sensitivity, ", Proceedings of the 1st Balkan Conference on Informatics BCI 2003 (Y. Manolopoulos, P. Spirakis eds.), 356-365, 21-23 November 2003, ISBN 960-287-045-1, Springer-Verlag., Thessaloniki, Greece.
  • Craciun M.V. and Neagu D. (2003): "Using Unsupervised and Supervised Artificial Neural Networks to study Aquatic Toxicity", Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2003 (V.Palade, L. Jain, B. Howlett eds.), 3-5 Sept. 2003, 911-918, ISBN 3-540-40804-5, LNAI Springer-Verlag, Oxford, UK.
  • Neagu D., Georgescu L.P. and Antemir A. (2003): "Combining experts opinions for toxicity prediction", Procs. of the International Conference on Materials Science and Engineering BRAMAT2003, 13-14 March 2003, 406-411, ISBN 973-635-126-2, Brasov, Romania.
  • Neagu C.D. (2002): "Toxicity prediction using assemblies of hybrid fuzzy neural models", Proceedings of the 6th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2002, IOS Press Amsterdam, 1093-1098, Podere d'Ombriano, Crema, Italy.
  • Palade V. and Neagu C.D. (2002): "Neuro-fuzzy based analysis of gene expression data", Proceedings of the 6th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2002, IOS Press Amsterdam, 1088-1092, Podere d'Ombriano, Crema, Italy.
  • Neagu C.D., Aptula A.O. and Gini G. (2002): "Neural and Neuro-Fuzzy Models of Toxic Action of Phenols", Proceedings of the IEEE International Symposium Intelligent Systems: Methodology, Models, Applications in Emerging Technologies IS2002, 10-12 Sept.2002, 283-288, Varna, Bulgaria.
  • Benfenati E., Mazzatorta P., Neagu C.D. and Gini G. (2002): "Combining classifiers of pesticides toxicity through a neuro-fuzzy approach", Proceedings of 3rd International Workshop on Multiple Classifier Systems MCS2002, 24-26 June 2002, Lecture Notes in Computer Science, Springer Verlag Berlin Heidelberg, LNCS 2364, F. Roli and J. Kittler Eds., ISBN 3-540-43818-1, 293-303, Cagliari, Italy.
  • Neagu D. and Palade V. (2002): "Modular neuro-fuzzy networks: an overview of explicit and implicit knowledge integration", Procs. of the 15th International FLAIRS-02 Conference, Special Track on Integrated Intelligent Systems, 14-16 May 2002, AAAI Press, 277-281, ISBN 1-57735-141-X., Pensacola, Florida, USA.
  • Palade V., Neagu C.D. and Patton R.J. (2001): "Interpretation of trained neural networks by rule extraction", International Conference, 7th Fuzzy Days Dortmund, Germany, October Proceedings of the International Conference 7th Fuzzy Days in Dortmund, October 1-3, 2001, in Lecture Notes in Computer Science LNCS 2206 - Computional Intelligence: Theory and Appl, Dortmund, Germany.
  • Neagu C.D., Kalapanidas E., Avouris N. and Bumbaru S. (2001): "Air Quality Prediction Using Neuro-Fuzzy Tools", Proceedings volume from the 9th IFAC/IFORS/IMACS/IFIP Symposium, 18-20 July 2001, in: Large Scale Systems: Theory and Applications, F.G. Filip, I. Dumitrache, S. Iliescu (ed.), Elsevier Science ISBN: 0-08-043691-9, 459-465, Bucharest, Romania.

Research Reports +

  • Anzali S., Berthold M.R., Fioravanzo E., Neagu D. and et al (2012): "Development of computational models for the risk assessment of cosmetic ingredients. IFSCC Magazine 15 (4): 249-255, International Federation of Societies of Cosmetic Chemists ", Research Report.
    For more information see: http://www.cosmostox.eu/images/IFSCC_2012_15_249_low.pdf
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Profile last updated on: 21-03-2017

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