| 2008 |
|---|
| 23 | EE | 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: 29-34 |
| 22 | | Chunying Zhao,
Gongde Guo,
Xuming Huang,
Tianqiang Huang,
Daniel Neagu:
Data Reduction and Classification based on Multiple Classifier Behavior.
DMIN 2008: 78-83 |
| 21 | EE | Ladan Malazizi,
Daniel Neagu,
Qasim Chaudhry:
Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm.
ICDM 2008: 165-176 |
| 20 | | Mohammad Azzeh,
Daniel Neagu,
Peter I. Cowling:
Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic.
ICSOFT (SE/MUSE/GSDCA) 2008: 127-132 |
| 19 | EE | Mohammad Azzeh,
Daniel Neagu,
Peter I. Cowling:
Software Project Similarity Measurement Based on Fuzzy C-Means.
ICSP 2008: 123-134 |
| 18 | EE | Paul R. Trundle,
Daniel Neagu,
Marian Viorel Craciun,
Qasim Chaudhry:
Development of Multi-output Neural Networks for Data Integration - A Case Study.
Innovations in Hybrid Intelligent Systems 2008: 80-87 |
| 2007 |
|---|
| 17 | EE | Yang Lan,
Daniel Neagu:
Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction.
ADMA 2007: 264-275 |
| 16 | EE | Xuming Huang,
Gongde Guo,
Daniel Neagu,
Tianqiang Huang:
Weighted kNNModel-Nased Data Reduction and Classification.
FSKD (1) 2007: 689-695 |
| 15 | EE | Yu Huang,
Gongde Guo,
Daniel Neagu:
A Partial Coverage Based Approach to Classification.
ICTAI (1) 2007: 275-280 |
| 14 | EE | Paul R. Trundle,
Daniel Neagu,
Qasim Chaudhry:
Multi-source Data Modelling: Integrating Related Data to Improve Model Performance.
MLDM 2007: 32-46 |
| 2006 |
|---|
| 13 | EE | Daniel Neagu,
Gongde Guo,
Shanshan Wang:
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining.
ADMA 2006: 165-172 |
| 12 | EE | Gongde Guo,
Daniel Neagu,
Xuming Huang,
Yaxin Bi:
An Effective Combination of Multiple Classifiers for Toxicity Prediction.
FSKD 2006: 481-490 |
| 2005 |
|---|
| 11 | EE | Gongde Guo,
Daniel Neagu,
Mark T. D. Cronin:
A Study on Feature Selection for Toxicity Prediction.
FSKD (2) 2005: 31-34 |
| 10 | EE | Gongde Guo,
Daniel Neagu,
Mark T. D. Cronin:
Using kNN Model for Automatic Feature Selection.
ICAPR (1) 2005: 410-419 |
| 9 | EE | Shuai Zhang,
Daniel Neagu,
Catalin Balescu:
Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles.
ICNC (3) 2005: 1300-1303 |
| 8 | EE | 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: 245-250 |
| 7 | EE | Daniel Neagu,
Marian Viorel Craciun,
Silviu A. Stroia,
Severin Bumbaru:
Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach.
ISDA 2005: 26-31 |
| 6 | EE | Gongde Guo,
Daniel Neagu:
Fuzzy Knnmodel Applied to Predictive Toxicology Data Mining.
International Journal of Computational Intelligence and Applications 5(3): 321-334 (2005) |
| 2004 |
|---|
| 5 | | Daniel Neagu:
A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems.
ANNs 2004: 51-61 |
| 2003 |
|---|
| 4 | EE | Marian Viorel Craciun,
Daniel Neagu,
Christoph König,
Severin Bumbaru:
A Study of Aquatic Toxicity Using Artificial Neural Networks.
KES 2003: 911-918 |
| 3 | EE | Daniel Neagu,
Vasile Palade:
A neuro-fuzzy approach for functional genomics data interpretation and analysis.
Neural Computing and Applications 12(3-4): 153-159 (2003) |
| 2002 |
|---|
| 2 | EE | Emilio Benfenati,
Paolo Mazzatorta,
Daniel Neagu,
Giuseppina C. Gini:
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach.
Multiple Classifier Systems 2002: 293-303 |
| 1 | EE | Paolo Mazzatorta,
Emilio Benfenati,
Daniel Neagu,
Giuseppina C. Gini:
The Importance of Scaling in Data Mining for Toxicity Prediction.
Journal of Chemical Information and Computer Sciences 42(5): 1250-1255 (2002) |
