Daniel Neagu - RankMe

101 papers A* 1B 5C 15Misc 3Journal 33Unranked 42

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare. Comput. Biol. Medicine Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
2022	C	`ed.`	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan
2022	C	`conf`	Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. ICMLA Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
2022	J	`jnl`	Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19. Expert Syst. Appl. Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
2022	Misc	`conf`	Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective. FRUCT Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif
2021	J	`jnl`	Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series. SN Comput. Sci. Ahmad Idris Tambuwal, Daniel Neagu
2021	—	`conf`	Defect Prediction on Production Line. UKCI Souhaiel Khalfaoui, Eric Manouvrier, Alexandre Briot, David Delaux, Stéphane Butel, Jesutofunmi Ibrahim, Tatenda Kanyere, Bola Orimogunje, Amr Abdullatif, Daniel Neagu
2021	J	`jnl`	Diagnostics and prognostics for complex systems: A review of methods and challenges. Qual. Reliab. Eng. Int. Morteza Soleimani, Felician Campean, Daniel Neagu
2021	J	`jnl`	Engineering Data- & Model-Driven Applications: EDMA-2017 special issue editorial. Expert Syst. J. Knowl. Eng. Daniel Neagu, Felician Campean, Marian Gheorghe
2021	J	`jnl`	Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems. Reliab. Eng. Syst. Saf. Morteza Soleimani, Felician Campean, Daniel Neagu
2020	J	`jnl`	A novel application of deep learning with image cropping: a smart city use case for flood monitoring. J. Reliab. Intell. Environ. Bhupesh Kumar Mishra, Dhavalkumar Thakker, Suvodeep Mazumdar, Daniel Neagu, Marian Gheorghe, Sydney Simpson
2020	J	`jnl`	Proximity Curves for Potential-Based Clustering. J. Classif. Attila Csenki, Daniel Neagu, Denis Torgunov, Natasha Micic
2020	J	`jnl`	QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics. CoRR Luca Parisi, Daniel Neagu, Renfei Ma, Felician Campean
2019	J	`jnl`	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 Shehla Khalid, Neil Small, Daniel Neagu, Claire Surr
2019	—	`conf`	Co-modelling Strategy for Development of Airpath Metamodel on Multi-physics Simulation Platform. UKCI Gaurav Pant, Felician Campean, Aleksandrs Korsunovs, Daniel Neagu, Oscar García-Afonso
2019	—	`conf`	Distributed Network Behaviour Prediction Using Machine Learning and Agent-Based Micro Simulation. FiCloud Omololu Makinde, Abimbola Sangodoyin, Bashir Mohammed, Daniel Neagu, Umaru Adamu
2019	—	`conf`	On Selection of Optimal Classifiers. SGAI Conf. Omesaad Rado, Daniel Neagu
2019	—	`conf`	Queries on Synthetic Images for Large Multivariate Engineering Data Base Searches. UKCI Natasha Micic, Ci Lei, Daniel Neagu, Felician Campean
2019	—	`conf`	Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring. DESSERT Bhupesh Kumar Mishra, Dhavalkumar Thakker, Suvodeep Mazumdar, Sydney Simpson, Daniel Neagu
2019	—	`conf`	Vehicle Warranty Claim Prediction from Diagnostic Data Using Classification. UKCI Denis Torgunov, Paul R. Trundle, Felician Campean, Daniel Neagu, Andrew Sherratt
2018	—	`conf`	Agent Based Micro-simulation of a Passenger Rail System Using Customer Survey Data and an Activity Based Approach. UKCI Omololu Makinde, Daniel Neagu, Marian Gheorghe
2018	—	`conf`	Classification of Heterogeneous Data Based on Data Type Impact on Similarity. UKCI Najat Ali, Daniel Neagu, Paul R. Trundle
2018	C	`conf`	Comparison between Range-based and Prefix Dewey Encoding. WEBIST Ebtesam Taktek, Dhavalkumar Thakker, Daniel Neagu
2018	—	`conf`	Computational Complexity Analysis of Decision Tree Algorithms. SGAI Conf. Habiba Muhammad Sani, Ci Lei, Daniel Neagu
2018	J	`jnl`	Data quality challenges in the UK social housing sector. Int. J. Inf. Manag. Caroline Duvier, Daniel Neagu, Crina Oltean-Dumbrava, Dave Dickens
2018	—	`conf`	Exploring Methods for Comparing Similarity of Dimensionally Inconsistent Multivariate Numerical Data. HPCC/SmartCity/DSS Natasha Micic, Daniel Neagu, Denis Torgunov, Felician Campean
2018	—	`conf`	Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling. HPCC/SmartCity/DSS Órla Murphy, Esmaeil Habib Zadeh, Felician Campean, Daniel Neagu
2018	—	`conf`	The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model. MLDM (2) Aisyah Mat Jasin, Daniel Neagu, Attila Csenki
2017	—	`conf`	An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams. SGAI Conf. Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe
2017	J	`jnl`	Software stage-effort estimation based on association rule mining and fuzzy set theory. CoRR Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
2017	J	`jnl`	Special issue on innovative techniques and applications of artificial intelligence guest editorial. Expert Syst. J. Knowl. Eng. Daniel Neagu
2017	—	`conf`	Towards a Data Quality Framework for Heterogeneous Data. iThings/GreenCom/CPSCom/SmartData Natasha Micic, Daniel Neagu, Felician Campean, Esmaeil Habib Zadeh
2016	J	`jnl`	Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
2016	J	`jnl`	Special issue on computational intelligence algorithms and applications. Soft Comput. Daniel Neagu
2016	J	`jnl`	Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology. Soft Comput. Pritesh Mistry, Daniel Neagu, Paul R. Trundle, Jonathan D. Vessey
2015	B	`conf`	Bipartite Network Model for Inferring Hidden Ties in Crime Data. ASONAM Haruna Isah, Daniel Neagu, Paul R. Trundle
2015	J	`jnl`	Bipartite Network Model for Inferring Hidden Ties in Crime Data. CoRR Haruna Isah, Daniel Neagu, Paul R. Trundle
2015	J	`jnl`	Social Media Analysis for Product Safety using Text Mining and Sentiment Analysis. CoRR Haruna Isah, Daniel Neagu, Paul R. Trundle
2014	—	`conf`	Integration strategies for toxicity data from an empirical perspective. UKCI Longzhi Yang, Daniel Neagu
2014	—	`conf`	Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation. UKCI Yousef Alqasrawi, Daniel Neagu
2014	—	`conf`	Social media analysis for product safety using text mining and sentiment analysis. UKCI Haruna Isah, Paul R. Trundle, Daniel Neagu
2014	J	`jnl`	Special issue on innovative techniques and applications of artificial intelligence. Expert Syst. J. Knowl. Eng. Daniel Neagu
2014	—	`conf`	Using computational methods for the prediction of drug vehicles. UKCI Pritesh Mistry, Anna Palczewska, Daniel Neagu, Paul R. Trundle
2013	J	`jnl`	A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes. Soft Comput. Yasmina Bashon, Daniel Neagu, Mick J. Ridley
2013	J	`jnl`	Data Extraction from Online Social Networks Using Application Programming Interface in a Multi Agent System Approach. Trans. Comput. Collect. Intell. Ruqayya Abdulrahman, Daniel Neagu, D. R. W. Holton, Mick J. Ridley, Yang Lan
2013	J	`jnl`	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. Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
2013	—	`conf`	Interpreting Random Forest Classification Models Using a Feature Contribution Method. IRI (best papers) Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013	J	`jnl`	Interpreting random forest classification models using a feature contribution method. CoRR Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013	Misc	`conf`	Interpreting random forest models using a feature contribution method. IRI Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu
2013	J	`jnl`	Towards model governance in predictive toxicology. Int. J. Inf. Manag. Anna Palczewska, Xin Fu, Paul R. Trundle, Longzhi Yang, Daniel Neagu, Mick J. Ridley, Kim Travis
2013	B	`conf`	Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution. FUZZ-IEEE Longzhi Yang, Daniel Neagu
2013	J	`jnl`	Using Pareto points for model identification in predictive toxicology. J. Cheminformatics Anna Palczewska, Daniel Neagu, Mick J. Ridley
2012	B	`conf`	Fuzzy complex number aided evaluation of predictive toxicology models. FUZZ-IEEE Xin Fu, Kim Travis, Daniel Neagu, Mick J. Ridley, Qiang Shen
2012	J	`jnl`	Multi agent system approach for vulnerability analysis of online social network profiles over time. Int. J. Knowl. Web Intell. Ruqayya Abdulrahman, Sophia Alim, Daniel Neagu, D. R. W. Holton, Mick J. Ridley
2012	—	`conf`	Optimisation of Classifier Ensemble for Predictive Toxicology Applications. UKSim Mokhairi Makhtar, Longzhi Yang, Daniel Neagu, Mick J. Ridley
2012	Misc	`conf`	Towards the integration of heterogeneous uncertain data. IRI Longzhi Yang, Daniel Neagu
2011	J	`jnl`	Analogy-based software effort estimation using Fuzzy numbers. J. Syst. Softw. Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2011	J	`jnl`	Assessing information quality of e-learning systems: a web mining approach. Comput. Hum. Behav. Mona Awad Alkhattabi, Daniel Neagu, Andrea J. Cullen
2011	—	`conf`	Binary Classification Models Comparison: On the Similarity of Datasets and Confusion Matrix for Predictive Toxicology Applications. ITBAM Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley
2011	C	`conf`	Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. IDEAL Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley
2011	J	`jnl`	Data governance in predictive toxicology: A review. J. Cheminformatics Xin Fu, Anna Wojak, Daniel Neagu, Mick J. Ridley, Kim Travis
2011	—	`conf`	Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks. KES-AMSTA Ruqayya Abdulrahman, D. R. W. Holton, Daniel Neagu, Mick J. Ridley
2011	C	`conf`	Fuzzy set-theoretical approach for comparing objects with fuzzy attributes. ISDA Yasmina Bashon, Daniel Neagu, Mick J. Ridley
2011	—	`conf`	Multi Agent System for Historical Information Retrieval from Online Social Networks. KES-AMSTA Ruqayya Abdulrahman, Daniel Neagu, D. R. W. Holton
2010	—	`conf`	A New Approach for Comparing Fuzzy Objects. IPMU (2) Yasmina Bashon, Daniel Neagu, Mick J. Ridley
2010	C	`conf`	Algorithms for Data Retrieval from Online Social Network Graphs. CIT Ruqayya Abdulrahman, Sophia Alim, Daniel Neagu, Mick J. Ridley
2010	—	`conf`	DCM Data Management Framework: A Data Warehousing Approach. ITBAM Shehla Khalid, Claire Surr, Daniel Neagu
2010	J	`jnl`	Fuzzy grey relational analysis for software effort estimation. Empir. Softw. Eng. Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2010	C	`conf`	Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. CIT Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
2010	C	`conf`	Spatial pyramid local keypoints quantization for bag of visual patches image representation. ISDA Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
2009	—	`conf`	Data retrieval from online social network profiles for social engineering applications. ICITST Sophia Alim, Ruqayya Abdulrahman, Daniel Neagu, Mick J. Ridley
2009	C	`conf`	Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout. ISDA Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling
2009	C	`conf`	Overview of Factors for Internet Banking Adoption. CW Rita E. Ochuko, Andrea J. Cullen, Daniel Neagu
2009	—	`conf`	Software effort estimation based on weighted fuzzy grey relational analysis. PROMISE Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. ICSOFT (SE/MUSE/GSDCA) Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	Data Reduction and Classification based on Multiple Classifier Behavior. DMIN Chunying Zhao, Gongde Guo, Xuming Huang, Tianqiang Huang, Daniel Neagu
2008	—	`ch.`	Development of Multi-output Neural Networks for Data Integration - A Case Study. Innovations in Hybrid Intelligent Systems Paul R. Trundle, Daniel Neagu, Marian Viorel Craciun, Qasim Chaudhry
2008	A*	`conf`	Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm. ICDM Ladan Malazizi, Daniel Neagu, Qasim Chaudhry
2008	—	`conf`	Improving analogy software effort estimation using fuzzy feature subset selection algorithm. PROMISE@ICSE Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework. Asia International Conference on Modelling and Simulation Muna Hatem, Daniel Neagu, Haider Ramadan
2008	—	`conf`	Software Project Similarity Measurement Based on Fuzzy C-Means. ICSP Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2007	—	`conf`	A Partial Coverage Based Approach to Classification. ICTAI (1) Yu Huang, Gongde Guo, Daniel Neagu
2007	C	`conf`	A new time series prediction algorithm based on moving average of nth-order difference. ICMLA Yang Lan, Daniel Neagu
2007	C	`conf`	Applications of the Moving Average of ADMA Yang Lan, Daniel Neagu
2007	—	`conf`	Multi-source Data Modelling: Integrating Related Data to Improve Model Performance. MLDM Paul R. Trundle, Daniel Neagu, Qasim Chaudhry
2007	—	`conf`	Weighted kNNModel-Nased Data Reduction and Classification. FSKD (1) Xuming Huang, Gongde Guo, Daniel Neagu, Tianqiang Huang
2006	C	`conf`	An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. ADMA Daniel Neagu, Gongde Guo, Shanshan Wang
2006	—	`conf`	An Effective Combination of Multiple Classifiers for Toxicity Prediction. FSKD Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
2005	C	`conf`	A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifier Ensembles with Applications in Visual Arts Data Mining. ISDA Daniel Neagu, Shuai Zhang, Catalin Balescu
2005	—	`conf`	A Study on Feature Selection for Toxicity Prediction. FSKD (2) Gongde Guo, Daniel Neagu, Mark T. D. Cronin
2005	—	`book`	Computational Intelligence - Engineering of Hybrid Systems Mircea Gh. Negoita, Daniel Neagu, Vasile Palade
2005	J	`jnl`	Fuzzy Knnmodel Applied to Predictive Toxicology Data Mining. Int. J. Comput. Intell. Appl. Gongde Guo, Daniel Neagu
2005	C	`conf`	Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach. ISDA Daniel Neagu, Marian Viorel Craciun, Silviu A. Stroia, Severin Bumbaru
2005	—	`conf`	Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles. ICNC (3) Shuai Zhang, Daniel Neagu, Catalin Balescu
2005	B	`conf`	Similarity-based classifier combination for decision making. SMC Gongde Guo, Daniel Neagu
2005	—	`conf`	Using ICAPR (1) Gongde Guo, Daniel Neagu, Mark T. D. Cronin
2004	—	`conf`	A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems. ANNs Daniel Neagu
2003	B	`conf`	A Study of Aquatic Toxicity Using Artificial Neural Networks. KES Marian Viorel Craciun, Daniel Neagu, Christoph König, Severin Bumbaru
2003	J	`jnl`	A neuro-fuzzy approach for functional genomics data interpretation and analysis. Neural Comput. Appl. Daniel Neagu, Vasile Palade
2002	—	`conf`	Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. Multiple Classifier Systems Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, Giuseppina C. Gini
2002	J	`jnl`	The Importance of Scaling in Data Mining for Toxicity Prediction. J. Chem. Inf. Comput. Sci. Paolo Mazzatorta, Emilio Benfenati, Daniel Neagu, Giuseppina C. Gini