A Data-Driven Approach for Improved Effective Classification in Predictive Toxicology

A New Approach and Its Applications for Time Series Analysis and Prediction Based on Moving Average of n th -Order Difference

A New Approach for Comparing Fuzzy Objects

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A Partial Coverage Based Approach to Classification

article published in 2007

A Study on Feature Selection for Toxicity Prediction

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A comparative study of machine learning algorithms applied to predictive toxicology data mining.

scientific article

A framework for comparing heterogeneous objects: on the similarity measurements for fuzzy, numerical and categorical attributes

A multi-label voting algorithm for neuro-fuzzy classifier ensembles with applications in visual arts data mining

A neuro-fuzzy approach for functional genomics data interpretation and analysis

A new time series prediction algorithm based on moving average of nth-order difference

A vulnerability evaluation framework for online social network profiles: axioms and propositions

Algorithms for (Q)SAR model building

Algorithms for Data Retrieval from Online Social Network Graphs

scholarly article published June 2010

An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining

An Effective Combination of Multiple Classifiers for Toxicity Prediction

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An improved root extraction technique for Arabic words

article published in 2010

Analogy-based software effort estimation using Fuzzy numbers

scholarly article by Mohammad Azzeh et al published February 2011 in Journal of Systems and Software

Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction

Assessing information quality of e-learning systems: a web mining approach

Bipartite Network Model for Inferring Hidden Ties in Crime Data

ChemInform Abstract: The Importance of Scaling in Data Mining for Toxicity Prediction

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Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach

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Computational Intelligence

DCM Data Management Framework: A Data Warehousing Approach

Data Extraction from Online Social Networks Using Application Programming Interface in a Multi Agent System Approach

Data governance in predictive toxicology: A review

scientific article (publication date: 13 July 2011)

Databases for pesticide ecotoxicity

Development of Multi-output Neural Networks for Data Integration — A Case Study

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Development of integrated in silico models for toxicity prediction focussing on cosmetic ingredients

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E-Banking Operational Risk Management using Soft Computing Tools

FUZZY kNNMODEL APPLIED TO PREDICTIVE TOXICOLOGY DATA MINING

Formal Specification of Multi Agent System for Historical Information Retrieval from Online Social Networks

Fusing integrated visual vocabularies-based bag of visual words and weighted colour moments on spatial pyramid layout for natural scene image classification

Fuzzy Rules Extraction from Connectionist Structures

Fuzzy complex number aided evaluation of predictive toxicology models

Fuzzy grey relational analysis for software effort estimation

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Fuzzy set-theoretical approach for comparing objects with fuzzy attributes

Genetic Algorithms Based Hybrid Intelligent Systems

scholarly article published 20 February 2005

Guest editorial: special issue on predictive analytics using machine learning

scholarly article by Ali Bou Nassif et al published 23 April 2016 in Neural Computing and Applications

Hybrid intelligent systems for predictive toxicology - a distributed approach

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Hybrid systems

Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-Based Class-Boost Algorithm

Improving analogy software effort estimation using fuzzy feature subset selection algorithm

Integration of Explicit and Implicit Knowledge in Hybrid Intelligent Systems

Integration strategies for toxicity data from an empirical perspective

Intelligent Techniques and Computational Intelligence

Interpreting Random Forest Classification Models Using a Feature Contribution Method ⬇️

Interpreting random forest models using a feature contribution method ⬇️

Investigating the relationship between the distribution of local semantic concepts and local keypoints for image annotation

KNOWLEDGE REPRESENTATION FOR VERSATILE HYBRID INTELLIGENT PROCESSING APPLIED IN PREDICTIVE TOXICOLOGY

Multi Agent System for Historical Information Retrieval from Online Social Networks

Multi agent system approach for vulnerability analysis of online social network profiles over time

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Natural Scene Image Recognition by Fusing Weighted Colour Moments with Bag of Visual Patches on Spatial Pyramid Layout

Neuro-Fuzzy Based Hybrid Intelligent Systems for Fault Diagnosis

Neuro-Fuzzy Integration in Hybrid Intelligent Systems

New Trends of Developing Hybrid Intelligent Systems – AIS Hybridization and DNA-Hybridization

Online social network profile data extraction for vulnerability analysis

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Optimisation of Classifier Ensemble for Predictive Toxicology Applications

Overview of Factors for Internet Banking Adoption

Practical Implementation Aspects Regarding Real-World Application of Hybrid Intelligent Systems

RDF Repository of Experts Based on Context Oriented Automatic Annotation Framework

Refinement of Clustering Solutions Using a Multi-label Voting Algorithm for Neuro-fuzzy Ensembles

Social media analysis for product safety using text mining and sentiment analysis

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Software Project Similarity Measurement Based on Fuzzy C-Means

scholarly article

Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory

Software effort estimation based on weighted fuzzy grey relational analysis

scholarly article published 2009

Software tool for toxicity prediction of pesticides, candidate pesticides, and their derivatives (user guide)

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Spatial pyramid local keypoints quantization for bag of visual patches image representation

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Special issue on innovative techniques and applications of artificial intelligence

scholarly article by Daniel Neagu published November 2014 in Expert Systems

Special issue on innovative techniques and applications of artificial intelligence guest editorial

scholarly article by Daniel Neagu published October 2017 in Expert Systems

Stemming techniques for Arabic words: A comparative study

The importance of scaling in data mining for toxicity prediction

scientific article

The use of the DEMETRA models

Towards a Fuzzy Expert System on Toxicological Data Quality Assessment

scientific article

Towards model governance in predictive toxicology

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Towards the integration of heterogeneous uncertain data

Toxicity risk assessment from heterogeneous uncertain data with possibility-probability distribution

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Tuning neural and fuzzy-neural networks for toxicity modeling

scientific article published in March 2003

User Perceptions of Information Quality in E-Learning Systems

Using Pareto points for model identification in predictive toxicology

scientific article published on 22 March 2013

Using computational methods for the prediction of drug vehicles

Using kNN Model for Automatic Feature Selection

Using random forest and decision tree models for a new vehicle prediction approach in computational toxicology

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Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study

scientific article published in June 2006

Weighted kNNModel-Nased Data Reduction and Classification