Fuzzy Computing in a MultiPurpose Neural Network Implementation. - Ciprian-Daniel Neagu; Vasile Palade (Fuzzy Days, 1999)

Neural explicit and implicit knowledge representation. - Ciprian-Daniel Neagu; Vasile Palade (KES, 2000)

Rule extraction from neural networks by interval propagation. - Vasile Palade; Ciprian-Daniel Neagu; Gheorghe Puscasu (KES, 2000)

Interpretation of Trained Neural Networks by Rule Extraction. - Vasile Palade; Ciprian-Daniel Neagu; Ronald J. Patton (Fuzzy Days, 2001)

Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds. - Ciprian-Daniel Neagu; Emilio Benfenati; Giuseppina C. Gini; Paolo Mazzatorta; Alessandra Roncaglioni (ECAI, 2002)

Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration. - Ciprian-Daniel Neagu; Vasile Palade (FLAIRS, 2002)

Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. - Emilio Benfenati; Paolo Mazzatorta; Daniel Neagu; Giuseppina C. Gini (Multiple Classifier Systems, 2002)

Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction. - Ciprian-Daniel Neagu; Nikolaos M. Avouris; Elias Kalapanidas; Vasile Palade (Appl. Intell., 2002)

The Importance of Scaling in Data Mining for Toxicity Prediction. - Paolo Mazzatorta; Emilio Benfenati; Daniel Neagu; Giuseppina C. Gini (J. Chem. Inf. Comput. Sci., 2002)

A Study of Aquatic Toxicity Using Artificial Neural Networks. - Marian Viorel Craciun; Daniel Neagu; Christoph König 004; Severin Bumbaru (KES, 2003)

Tuning Neural and Fuzzy-Neural Networks for Toxicity Modeling. - Paolo Mazzatorta; Emilio Benfenati; Ciprian-Daniel Neagu; Giuseppina C. Gini (J. Chem. Inf. Comput. Sci., 2003)

A neuro-fuzzy approach for functional genomics data interpretation and analysis. - Daniel Neagu; Vasile Palade (Neural Comput. Appl., 2003)

A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems. - Daniel Neagu (ANNs, 2004)

Computational Intelligence - Engineering of Hybrid Systems - Mircea Gh. Negoita; Daniel Neagu; Vasile Palade (Springer, 2005)

A Study on Feature Selection for Toxicity Prediction. - Gongde Guo; Daniel Neagu; Mark T. D. Cronin (FSKD (2), 2005)

Using kNN Model for Automatic Feature Selection. - Gongde Guo; Daniel Neagu; Mark T. D. Cronin (ICAPR (1), 2005)

Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles. - Shuai Zhang; Daniel Neagu; Catalin Balescu (ICNC (3), 2005)

Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach. - Daniel Neagu; Marian Viorel Craciun; Silviu A. Stroia; Severin Bumbaru (ISDA, 2005)

A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifier Ensembles with Applications in Visual Arts Data Mining. - Daniel Neagu; Shuai Zhang; Catalin Balescu (ISDA, 2005)

Similarity-based classifier combination for decision making. - Gongde Guo; Daniel Neagu (SMC, 2005)

Fuzzy Knnmodel Applied to Predictive Toxicology Data Mining. - Gongde Guo; Daniel Neagu (Int. J. Comput. Intell. Appl., 2005)

An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. - Daniel Neagu; Gongde Guo; Shanshan Wang (ADMA, 2006)

An Effective Combination of Multiple Classifiers for Toxicity Prediction. - Gongde Guo; Daniel Neagu; Xuming Huang; Yaxin Bi (FSKD, 2006)

Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction. - Yang Lan; Daniel Neagu (ADMA, 2007)

Weighted kNNModel-Nased Data Reduction and Classification. - Xuming Huang; Gongde Guo; Daniel Neagu; Tianqiang Huang (FSKD (1), 2007)

A new time series prediction algorithm based on moving average of nth-order difference. - Yang Lan; Daniel Neagu (ICMLA, 2007)

A Partial Coverage Based Approach to Classification. - Yu Huang 009; Gongde Guo; Daniel Neagu (ICTAI (1), 2007)

Multi-source Data Modelling: Integrating Related Data to Improve Model Performance. - Paul R. Trundle; Daniel Neagu; Qasim Chaudhry (MLDM, 2007)

RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework. - Muna Hatem; Daniel Neagu; Haider Ramadan (Asia International Conference on Modelling and Simulation, 2008)

Data Reduction and Classification based on Multiple Classifier Behavior. - Chunying Zhao; Gongde Guo; Xuming Huang; Tianqiang Huang; Daniel Neagu (DMIN, 2008)

Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (ICSOFT (SE/MUSE/GSDCA), 2008)

Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm. - Ladan Malazizi; Daniel Neagu; Qasim Chaudhry (ICDM, 2008)

Software Project Similarity Measurement Based on Fuzzy C-Means. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (ICSP, 2008)

Improving analogy software effort estimation using fuzzy feature subset selection algorithm. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (PROMISE@ICSE, 2008)

Development of Multi-output Neural Networks for Data Integration - A Case Study. - Paul R. Trundle; Daniel Neagu; Marian Viorel Craciun; Qasim Chaudhry (Innovations in Hybrid Intelligent Systems, 2008)

Data retrieval from online social network profiles for social engineering applications. - Sophia Alim; Ruqayya Abdulrahman; Daniel Neagu; Mick J. Ridley (ICITST, 2009)

Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout. - Yousef Alqasrawi; Daniel Neagu; Peter I. Cowling (ISDA, 2009)

Software effort estimation based on weighted fuzzy grey relational analysis. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (PROMISE, 2009)

Overview of Factors for Internet Banking Adoption. - Rita E. Ochuko; Andrea J. Cullen; Daniel Neagu (CW, 2009)

Algorithms for Data Retrieval from Online Social Network Graphs. - Ruqayya Abdulrahman; Sophia Alim; Daniel Neagu; Mick J. Ridley (CIT, 2010)

Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. - Mohammad Azzeh; Peter I. Cowling; Daniel Neagu (CIT, 2010)

A New Approach for Comparing Fuzzy Objects. - Yasmina Bashon; Daniel Neagu; Mick J. Ridley (IPMU (2), 2010)

Spatial pyramid local keypoints quantization for bag of visual patches image representation. - Yousef Alqasrawi; Daniel Neagu; Peter I. Cowling (ISDA, 2010)

DCM Data Management Framework: A Data Warehousing Approach. - Shehla Khalid; Claire Surr; Daniel Neagu (ITBAM, 2010)

Fuzzy grey relational analysis for software effort estimation. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (Empir. Softw. Eng., 2010)

Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. - Mokhairi Makhtar; Daniel Neagu; Mick J. Ridley (IDEAL, 2011)

Fuzzy set-theoretical approach for comparing objects with fuzzy attributes. - Yasmina Bashon; Daniel Neagu; Mick J. Ridley (ISDA, 2011)

Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications. - Mokhairi Makhtar; Daniel Neagu; Mick J. Ridley (ITBAM, 2011)

Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks. - Ruqayya Abdulrahman; D. R. W. Holton; Daniel Neagu; Mick J. Ridley (KES-AMSTA, 2011)

Multi Agent System for Historical Information Retrieval from Online Social Networks. - Ruqayya Abdulrahman; Daniel Neagu; D. R. W. Holton (KES-AMSTA, 2011)

Assessing information quality of e-learning systems: a web mining approach. - Mona Awad Alkhattabi; Daniel Neagu; Andrea J. Cullen (Comput. Hum. Behav., 2011)

Data governance in predictive toxicology: A review. - Xin Fu; Anna Wojak; Daniel Neagu; Mick J. Ridley; Kim Travis (J. Cheminformatics, 2011)

Analogy-based software effort estimation using Fuzzy numbers. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (J. Syst. Softw., 2011)

Fuzzy complex number aided evaluation of predictive toxicology models. - Xin Fu; Kim Travis; Daniel Neagu; Mick J. Ridley; Qiang Shen 001 (FUZZ-IEEE, 2012)

Towards the integration of heterogeneous uncertain data. - Longzhi Yang; Daniel Neagu (IRI, 2012)

Optimisation of Classifier Ensemble for Predictive Toxicology Applications. - Mokhairi Makhtar; Longzhi Yang; Daniel Neagu; Mick J. Ridley (UKSim, 2012)

Multi agent system approach for vulnerability analysis of online social network profiles over time. - Ruqayya Abdulrahman; Sophia Alim; Daniel Neagu; D. R. W. Holton; Mick J. Ridley (Int. J. Knowl. Web Intell., 2012)

Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution. - Longzhi Yang; Daniel Neagu (FUZZ-IEEE, 2013)

Interpreting random forest models using a feature contribution method. - Anna Palczewska; Jan Palczewski; Richard Marchese Robinson; Daniel Neagu (IRI, 2013)

Interpreting Random Forest Classification Models Using a Feature Contribution Method. - Anna Palczewska; Jan Palczewski; Richard Marchese Robinson; Daniel Neagu (IRI (best papers), 2013)

Towards model governance in predictive toxicology. - Anna Palczewska; Xin Fu; Paul R. Trundle; Longzhi Yang; Daniel Neagu; Mick J. Ridley; Kim Travis (Int. J. Inf. Manag., 2013)

Using Pareto points for model identification in predictive toxicology. - Anna Palczewska; Daniel Neagu; Mick J. Ridley (J. Cheminformatics, 2013)

Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification. - Yousef Alqasrawi; Daniel Neagu; Peter I. Cowling (Signal Image Video Process., 2013)

A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes. - Yasmina Bashon; Daniel Neagu; Mick J. Ridley (Soft Comput., 2013)

Data Extraction from Online Social Networks Using Application Programming Interface in a Multi Agent System Approach. - Ruqayya Abdulrahman; Daniel Neagu; D. R. W. Holton; Mick J. Ridley; Yang Lan (Trans. Comput. Collect. Intell., 2013)

Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation. - Yousef Alqasrawi; Daniel Neagu (UKCI, 2014)

Social media analysis for product safety using text mining and sentiment analysis. - Haruna Isah; Paul R. Trundle; Daniel Neagu (UKCI, 2014)

Using computational methods for the prediction of drug vehicles. - Pritesh Mistry; Anna Palczewska; Daniel Neagu; Paul R. Trundle (UKCI, 2014)

Integration strategies for toxicity data from an empirical perspective. - Longzhi Yang; Daniel Neagu (UKCI, 2014)

Special issue on innovative techniques and applications of artificial intelligence. - Daniel Neagu (Expert Syst. J. Knowl. Eng., 2014)

Bipartite Network Model for Inferring Hidden Ties in Crime Data. - Haruna Isah; Daniel Neagu; Paul R. Trundle (ASONAM, 2015)

Guest editorial: special issue on predictive analytics using machine learning. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan; Daniel Neagu (Neural Comput. Appl., 2016)

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology. - Pritesh Mistry; Daniel Neagu; Paul R. Trundle; Jonathan D. Vessey (Soft Comput., 2016)

Special issue on computational intelligence algorithms and applications. - Daniel Neagu (Soft Comput., 2016)

Towards a Data Quality Framework for Heterogeneous Data. - Natasha Micic; Daniel Neagu; Felician Campean; Esmaeil Habib Zadeh (iThings/GreenCom/CPSCom/SmartData, 2017)

An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams. - Ahmad Idris Tambuwal; Daniel Neagu; Marian Gheorghe 001 (SGAI Conf., 2017)

Special issue on innovative techniques and applications of artificial intelligence guest editorial. - Daniel Neagu (Expert Syst. J. Knowl. Eng., 2017)

Exploring Methods for Comparing Similarity of Dimensionally Inconsistent Multivariate Numerical Data. - Natasha Micic; Daniel Neagu; Denis Torgunov; Felician Campean (HPCC/SmartCity/DSS, 2018)

Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling. - Órla Murphy; Esmaeil Habib Zadeh; Felician Campean; Daniel Neagu (HPCC/SmartCity/DSS, 2018)

The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model. - Aisyah Mat Jasin; Daniel Neagu; Attila Csenki (MLDM (2), 2018)

Computational Complexity Analysis of Decision Tree Algorithms. - Habiba Muhammad Sani; Ci Lei; Daniel Neagu (SGAI Conf., 2018)

Classification of Heterogeneous Data Based on Data Type Impact on Similarity. - Najat Ali; Daniel Neagu; Paul R. Trundle (UKCI, 2018)

Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach. - Omololu Makinde; Daniel Neagu; Marian Gheorghe 001 (UKCI, 2018)

Comparison between Range-based and Prefix Dewey Encoding. - Ebtesam Taktek; Dhavalkumar Thakker; Daniel Neagu (WEBIST, 2018)

Data quality challenges in the UK social housing sector. - Caroline Duvier; Daniel Neagu; Crina Oltean-Dumbrava; Dave Dickens (Int. J. Inf. Manag., 2018)

Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring. - Bhupesh Kumar Mishra; Dhavalkumar Thakker; Suvodeep Mazumdar; Sydney Simpson; Daniel Neagu (DESSERT, 2019)

Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation. - Omololu Makinde; Abimbola Sangodoyin; Bashir Mohammed; Daniel Neagu; Umaru Adamu (FiCloud, 2019)

On Selection of Optimal Classifiers. - Omesaad Rado; Daniel Neagu (SGAI Conf., 2019)

Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches. - Natasha Micic; Ci Lei; Daniel Neagu; Felician Campean (UKCI, 2019)

Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform. - Gaurav Pant; Felician Campean; Aleksandrs Korsunovs; Daniel Neagu; Oscar García-Afonso (UKCI, 2019)

Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification. - Denis Torgunov; Paul R. Trundle; Felician Campean; Daniel Neagu; Andrew Sherratt (UKCI, 2019)

A Study Proposing a Data Model for a Dementia Care Mapping (DCM) Data Warehouse for Potential Secondary Uses of Dementia Care Data. - Shehla Khalid; Neil Small; Daniel Neagu; Claire Surr (Int. J. Heal. Inf. Syst. Informatics, 2019)

Proximity Curves for Potential-Based Clustering. - Attila Csenki; Daniel Neagu; Denis Torgunov; Natasha Micic (J. Classif., 2020)

QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics. - Luca Parisi; Daniel Neagu; Renfei Ma; Felician Campean (CoRR, 2020)

A novel application of deep learning with image cropping: a smart city use case for flood monitoring. - Bhupesh Kumar Mishra; Dhavalkumar Thakker; Suvodeep Mazumdar; Daniel Neagu; Marian Gheorghe 001; Sydney Simpson (J. Reliab. Intell. Environ., 2020)

Defect Prediction on Production Line. - Souhaiel Khalfaoui; Eric Manouvrier; Alexandre Briot; David Delaux; Stéphane Butel; Jesutofunmi Ibrahim; Tatenda Kanyere; Bola Orimogunje; Amr Abdullatif; Daniel Neagu (UKCI, 2021)

Engineering Data- & Model-Driven Applications: EDMA-2017 special issue editorial. - Daniel Neagu; Felician Campean; Marian Gheorghe 001 (Expert Syst. J. Knowl. Eng., 2021)

Diagnostics and prognostics for complex systems: A review of methods and challenges. - Morteza Soleimani; Felician Campean; Daniel Neagu (Qual. Reliab. Eng. Int., 2021)

Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems. - Morteza Soleimani; Felician Campean; Daniel Neagu (Reliab. Eng. Syst. Saf., 2021)

Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series. - Ahmad Idris Tambuwal; Daniel Neagu (SN Comput. Sci., 2021)

Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (FRUCT, 2022)

Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (ICMLA, 2022)

Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19. - Luca Parisi; Daniel Neagu; Renfei Ma; Felician Campean (Expert Syst. Appl., 2022)

Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. - Ahsanullah Yunas Mahmoud; Daniel Neagu; Daniele Scrimieri; Amr Rashad Ahmed Abdullatif (Comput. Biol. Medicine, 2023)

Optimal evolutionary framework-based activation function for image classification. - Luca Parisi; Ciprian-Daniel Neagu; Narrendar RaviChandran; Renfei Ma; Felician Campean (Knowl. Based Syst., 2024)

Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review. - John Gabriel O. Marko; Ciprian-Daniel Neagu; P. B. Anand (BMC Medical Informatics Decis. Mak., 2025)