| 2022 | FRUCT | 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 |
| 2022 | ICMLA | Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets. | Ahsanullah Yunas Mahmoud, Daniel Neagu, Daniele Scrimieri, Amr Rashad Ahmed Abdullatif |
| 2019 | SGAI | On Selection of Optimal Classifiers. | Omesaad Rado, Daniel Neagu |
| 2018 | HPCC | Exploring Methods for Comparing Similarity of Dimensionally Inconsistent Multivariate Numerical Data. | Natasha Micic, Daniel Neagu, Denis Torgunov, Felician Campean |
| 2018 | HPCC | Robustness of Automotive SOTA: State-of-the-Art in Uncertainty Modelling. | rla Murphy, Esmaeil Habib Zadeh, Felician Campean, Daniel Neagu |
| 2018 | WEBIST | Comparison between Range-based and Prefix Dewey Encoding. | Ebtesam Taktek, Dhavalkumar Thakker, Daniel Neagu |
| 2018 | SGAI | Computational Complexity Analysis of Decision Tree Algorithms. | Habiba Muhammad Sani, Ci Lei, Daniel Neagu |
| 2017 | SGAI | An Experimental Comparison of Ensemble Classifiers for Evolving Data Streams. | Ahmad Idris Tambuwal, Daniel Neagu, Marian Gheorghe |
| 2013 | IRI | Interpreting random forest models using a feature contribution method. | Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu |
| 2013 | IRI | Interpreting Random Forest Classification Models Using a Feature Contribution Method. | Anna Palczewska, Jan Palczewski, Richard Marchese Robinson, Daniel Neagu |
| 2012 | IRI | Towards the integration of heterogeneous uncertain data. | Longzhi Yang, Daniel Neagu |
| 2011 | IDEAL | Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications. | Mokhairi Makhtar, Daniel Neagu, Mick J. Ridley |
| 2011 | ISDA | Fuzzy set-theoretical approach for comparing objects with fuzzy attributes. | Yasmina Bashon, Daniel Neagu, Mick J. Ridley |
| 2010 | IPMU | A New Approach for Comparing Fuzzy Objects. | Yasmina Bashon, Daniel Neagu, Mick J. Ridley |
| 2010 | ISDA | Spatial pyramid local keypoints quantization for bag of visual patches image representation. | Yousef Alqasrawi, Daniel Neagu, Peter I. Cowling |
| 2009 | ISDA | 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 |
| 2008 | ICSoft | Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. | Mohammad Azzeh, Daniel Neagu, Peter I. Cowling |
| 2007 | ADMA | Applications of the Moving Average of | Yang Lan, Daniel Neagu |
| 2007 | ICMLA | A new time series prediction algorithm based on moving average of nth-order difference. | Yang Lan, Daniel Neagu |
| 2007 | ICTAI | A Partial Coverage Based Approach to Classification. | Yu Huang, Gongde Guo, Daniel Neagu |
| 2006 | ADMA | An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining. | Daniel Neagu, Gongde Guo, Shanshan Wang |
| 2005 | ICNC | Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles. | Shuai Zhang, Daniel Neagu, Catalin Balescu |
| 2005 | ISDA | Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach. | Daniel Neagu, Marian Viorel Craciun, Silviu A. Stroia, Severin Bumbaru |
| 2005 | ISDA | A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifier Ensembles with Applications in Visual Arts Data Mining. | Daniel Neagu, Shuai Zhang, Catalin Balescu |
| 2005 | SMC | Similarity-based classifier combination for decision making. | Gongde Guo, Daniel Neagu |
| 2003 | KES | A Study of Aquatic Toxicity Using Artificial Neural Networks. | Marian Viorel Craciun, Daniel Neagu, Christoph Knig, Severin Bumbaru |