Daniel Neagu

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 37

Top Topics

Predictive Analytics

Ensemble Classifier

Top Venues

Expert Syst. J. Knowl. Eng.

Publications

Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. Comput. Biol. Medicine 164 (2023)
Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19. Expert Syst. Appl. 187 (2022)
Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. ICMLA (2022)
Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. FRUCT (2022)
Daniel Neagu, Felician Campean, Marian Gheorghe
Engineering Data- & Model-Driven Applications: EDMA-2017 special issue editorial. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
Ahmad Idris Tambuwal, Daniel Neagu
Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series. SN Comput. Sci. 2 (6) (2021)
Morteza Soleimani, Felician Campean, Daniel Neagu
Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems. Reliab. Eng. Syst. Saf. 215 (2021)
Morteza Soleimani, Felician Campean, Daniel Neagu
Diagnostics and prognostics for complex systems: A review of methods and challenges. Qual. Reliab. Eng. Int. 37 (8) (2021)
Souhaiel Khalfaoui, Eric Manouvrier, Alexandre Briot, David Delaux, Stéphane Butel, Jesutofunmi Ibrahim, Tatenda Kanyere, Bola Orimogunje, Amr Abdullatif, Daniel Neagu
Defect Prediction on Production Line. UKCI (2021)
Bhupesh Kumar Mishra, Dhavalkumar Thakker, Suvodeep Mazumdar, Daniel Neagu, Marian Gheorghe, Sydney Simpson
A novel application of deep learning with image cropping: a smart city use case for flood monitoring. J. Reliab. Intell. Environ. 6 (1) (2020)
Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics. CoRR (2020)
Attila Csenki, Daniel Neagu, Denis Torgunov, Natasha Micic
Proximity Curves for Potential-Based Clustering. J. Classif. 37 (3) (2020)
Denis Torgunov, Paul R. Trundle, Felician Campean, Daniel Neagu, Andrew Sherratt
Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification. UKCI (2019)
Bhupesh Kumar Mishra, Dhavalkumar Thakker, Suvodeep Mazumdar, Sydney Simpson, Daniel Neagu
Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring. DESSERT (2019)
Omololu Makinde, Abimbola Sangodoyin, Bashir Mohammed, Daniel Neagu, Umaru Adamu
Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation. FiCloud (2019)
Omesaad Rado, Daniel Neagu
On Selection of Optimal Classifiers. SGAI Conf. (2019)
Gaurav Pant, Felician Campean, Aleksandrs Korsunovs, Daniel Neagu, Oscar García-Afonso
Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform. UKCI (2019)
Natasha Micic, Ci Lei, Daniel Neagu, Felician Campean
Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches. UKCI (2019)
Shehla Khalid, Neil Small, Daniel Neagu, Claire Surr
A Study Proposing a Data Model for a Dementia Care Mapping (DCM) Data Warehouse for Potential Secondary Uses of Dementia Care Data. Int. J. Heal. Inf. Syst. Informatics 14 (1) (2019)
Ebtesam Taktek, Dhavalkumar Thakker, Daniel Neagu
Comparison between Range-based and Prefix Dewey Encoding. WEBIST (2018)
Aisyah Mat Jasin, Daniel Neagu, Attila Csenki
The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model. MLDM (2) (2018)
Orla Murphy, Esmaeil Habib Zadeh, Felician Campean, Daniel Neagu
Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling. HPCC/SmartCity/DSS (2018)
Caroline Duvier, Daniel Neagu, Crina Oltean-Dumbrava, Dave Dickens
Data quality challenges in the UK social housing sector. Int. J. Inf. Manag. 38 (1) (2018)
Natasha Micic, Daniel Neagu, Denis Torgunov, Felician Campean
Exploring Methods for Comparing Similarity of Dimensionally Inconsistent Multivariate Numerical Data. HPCC/SmartCity/DSS (2018)
Omololu Makinde, Daniel Neagu, Marian Gheorghe
Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach. UKCI (2018)
Najat Ali, Daniel Neagu, Paul R. Trundle
Classification of Heterogeneous Data Based on Data Type Impact on Similarity. UKCI (2018)
Habiba Muhammad Sani, Ci Lei, Daniel Neagu
Computational Complexity Analysis of Decision Tree Algorithms. SGAI Conf. (2018)
Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe
An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams. SGAI Conf. (2017)
Daniel Neagu
Special issue on innovative techniques and applications of artificial intelligence guest editorial. Expert Syst. J. Knowl. Eng. 34 (5) (2017)
Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
Software stage-effort estimation based on association rule mining and fuzzy set theory. CoRR (2017)
Natasha Micic, Daniel Neagu, Felician Campean, Esmaeil Habib Zadeh
Towards a Data Quality Framework for Heterogeneous Data. iThings/GreenCom/CPSCom/SmartData (2017)
Daniel Neagu
Special issue on computational intelligence algorithms and applications. Soft Comput. 20 (8) (2016)
Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. 27 (8) (2016)
Pritesh Mistry, Daniel Neagu, Paul R. Trundle, Jonathan D. Vessey
Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology. Soft Comput. 20 (8) (2016)
Haruna Isah, Daniel Neagu, Paul R. Trundle
Social Media Analysis for Product Safety using Text Mining and Sentiment Analysis. CoRR (2015)
Haruna Isah, Daniel Neagu, Paul R. Trundle
Bipartite Network Model for Inferring Hidden Ties in Crime Data. CoRR (2015)
Haruna Isah, Daniel Neagu, Paul R. Trundle
Bipartite Network Model for Inferring Hidden Ties in Crime Data. ASONAM (2015)
Pritesh Mistry, Anna Palczewska, Daniel Neagu, Paul R. Trundle
Using computational methods for the prediction of drug vehicles. UKCI (2014)
Yousef Alqasrawi, Daniel Neagu
Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation. UKCI (2014)
Haruna Isah, Paul R. Trundle, Daniel Neagu
Social media analysis for product safety using text mining and sentiment analysis. UKCI (2014)
Daniel Neagu
Special issue on innovative techniques and applications of artificial intelligence. Expert Syst. J. Knowl. Eng. 31 (5) (2014)
Longzhi Yang, Daniel Neagu
Integration strategies for toxicity data from an empirical perspective. UKCI (2014)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting random forest classification models using a feature contribution method. CoRR (2013)
Yasmina Bashon, Daniel Neagu, Mick J. Ridley
A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes. Soft Comput. 17 (9) (2013)
Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification. Signal Image Video Process. 7 (4) (2013)
Anna Palczewska, Xin Fu, Paul R. Trundle, Longzhi Yang, Daniel Neagu, Mick J. Ridley, Kim Travis
Towards model governance in predictive toxicology. Int. J. Inf. Manag. 33 (3) (2013)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting Random Forest Classification Models Using a Feature Contribution Method. IRI (best papers) (2013)
Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
Interpreting random forest models using a feature contribution method. IRI (2013)
Anna Palczewska, Daniel Neagu, Mick J. Ridley
Using Pareto points for model identification in predictive toxicology. J. Cheminformatics 5 (2013)
Ruqayya Abdulrahman, Daniel Neagu, D. R. W. Holton, Mick J. Ridley, Yang Lan
Data Extraction from Online Social Networks Using Application Programming Interface in a Multi Agent System Approach. Trans. Comput. Collect. Intell. 11 (2013)
Longzhi Yang, Daniel Neagu
Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution. FUZZ-IEEE (2013)
Mokhairi Makhtar, Longzhi Yang, Daniel Neagu, Mick J. Ridley
Optimisation of Classifier Ensemble for Predictive Toxicology Applications. UKSim (2012)
Xin Fu, Kim Travis, Daniel Neagu, Mick J. Ridley, Qiang Shen
Fuzzy complex number aided evaluation of predictive toxicology models. FUZZ-IEEE (2012)
Longzhi Yang, Daniel Neagu
Towards the integration of heterogeneous uncertain data. IRI (2012)
Ruqayya Abdulrahman, Sophia Alim, Daniel Neagu, D. R. W. Holton, Mick J. Ridley
Multi agent system approach for vulnerability analysis of online social network profiles over time. Int. J. Knowl. Web Intell. 3 (3) (2012)
Ruqayya Abdulrahman, Daniel Neagu, D. R. W. Holton
Multi Agent System for Historical Information Retrieval from Online Social Networks. KES-AMSTA (2011)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Analogy-based software effort estimation using Fuzzy numbers. J. Syst. Softw. 84 (2) (2011)
Xin Fu, Anna Wojak, Daniel Neagu, Mick J. Ridley, Kim Travis
Data governance in predictive toxicology: A review. J. Cheminformatics 3 (2011)
Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley
Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. IDEAL (2011)
Ruqayya Abdulrahman, D. R. W. Holton, Daniel Neagu, Mick J. Ridley
Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks. KES-AMSTA (2011)
Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley
Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications. ITBAM (2011)
Mona Alkhattabi, Daniel Neagu, Andrea J. Cullen
Assessing information quality of e-learning systems: a web mining approach. Comput. Hum. Behav. 27 (2) (2011)
Yasmina Bashon, Daniel Neagu, Mick J. Ridley
Fuzzy set-theoretical approach for comparing objects with fuzzy attributes. ISDA (2011)
Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. CIT (2010)
Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
Spatial pyramid local keypoints quantization for bag of visual patches image representation. ISDA (2010)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Fuzzy grey relational analysis for software effort estimation. Empir. Softw. Eng. 15 (1) (2010)
Ruqayya Abdulrahman, Sophia Alim, Daniel Neagu, Mick J. Ridley
Algorithms for Data Retrieval from Online Social Network Graphs. CIT (2010)
Yasmina Bashon, Daniel Neagu, Mick J. Ridley
A New Approach for Comparing Fuzzy Objects. IPMU (2) (2010)
Shehla Khalid, Claire Surr, Daniel Neagu
DCM Data Management Framework: A Data Warehousing Approach. ITBAM (2010)
Rita E. Ochuko, Andrea J. Cullen, Daniel Neagu
Overview of Factors for Internet Banking Adoption. CW (2009)
Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout. ISDA (2009)
Sophia Alim, Ruqayya Abdulrahman, Daniel Neagu, Mick J. Ridley
Data retrieval from online social network profiles for social engineering applications. ICITST (2009)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Software effort estimation based on weighted fuzzy grey relational analysis. PROMISE (2009)
Chunying Zhao, Gongde Guo, Xuming Huang, Tianqiang Huang, Daniel Neagu
Data Reduction and Classification based on Multiple Classifier Behavior. DMIN (2008)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Improving analogy software effort estimation using fuzzy feature subset selection algorithm. PROMISE@ICSE (2008)
Muna Hatem, Daniel Neagu, Haider Ramadan
RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework. Asia International Conference on Modelling and Simulation (2008)
Ladan Malazizi, Daniel Neagu, Qasim Chaudhry
Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm. ICDM (2008)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. ICSOFT (SE/MUSE/GSDCA) (2008)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Software Project Similarity Measurement Based on Fuzzy C-Means. ICSP (2008)
Yang Lan, Daniel Neagu
A new time series prediction algorithm based on moving average of nth-order difference. ICMLA (2007)
Xuming Huang, Gongde Guo, Daniel Neagu, Tianqiang Huang
Weighted kNNModel-Nased Data Reduction and Classification. FSKD (1) (2007)
Yu Huang, Gongde Guo, Daniel Neagu
A Partial Coverage Based Approach to Classification. ICTAI (1) (2007)
Paul R. Trundle, Daniel Neagu, Qasim Chaudhry
Multi-source Data Modelling: Integrating Related Data to Improve Model Performance. MLDM (2007)
Yang Lan, Daniel Neagu
-Order Difference Algorithm for Time Series Prediction. ADMA (2007)
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
An Effective Combination of Multiple Classifiers for Toxicity Prediction. FSKD (2006)
Daniel Neagu, Gongde Guo, Shanshan Wang
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. ADMA (2006)
Gongde Guo, Daniel Neagu
Fuzzy Knnmodel Applied to Predictive Toxicology Data Mining. Int. J. Comput. Intell. Appl. 5 (3) (2005)
Gongde Guo, Daniel Neagu, Mark T. D. Cronin
A Study on Feature Selection for Toxicity Prediction. FSKD (2) (2005)
Daniel Neagu, Marian Viorel Craciun, Silviu A. Stroia, Severin Bumbaru
Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach. ISDA (2005)
Shuai Zhang, Daniel Neagu, Catalin Balescu
Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles. ICNC (3) (2005)
Daniel Neagu, Shuai Zhang, Catalin Balescu
A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifier Ensembles with Applications in Visual Arts Data Mining. ISDA (2005)
Gongde Guo, Daniel Neagu
Similarity-based classifier combination for decision making. SMC (2005)
Gongde Guo, Daniel Neagu, Mark T. D. Cronin
NN Model for Automatic Feature Selection. ICAPR (1) (2005)
Daniel Neagu
A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems. ANNs (2004)
Daniel Neagu, Vasile Palade
A neuro-fuzzy approach for functional genomics data interpretation and analysis. Neural Comput. Appl. 12 (3-4) (2003)
Marian Viorel Craciun, Daniel Neagu, Christoph König, Severin Bumbaru
A Study of Aquatic Toxicity Using Artificial Neural Networks. KES (2003)
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, Giuseppina C. Gini
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. Multiple Classifier Systems (2002)
Paolo Mazzatorta, Emilio Benfenati, Daniel Neagu, Giuseppina C. Gini
The Importance of Scaling in Data Mining for Toxicity Prediction. J. Chem. Inf. Comput. Sci. 42 (5) (2002)