02.1. Department of Artificial Intelligence Engineering

OrgUnit's Researchers publications
(Dept/Workgroup Publication)

Results 201-220 of 226 (Search time: 0.004 seconds).

Issue DateTitleAuthor(s)
201Oct-2017Social Network Analysis-Based Classifier (snac): a Case Study on Time Course Gene Expression Data
2022019Social Networks and Surveillance for Society Preface
2032010Stock Market Technical Indicator Optimization by Genetic Algorithms
2042013Subtree Selection in Kernels for Graph Classification
205May-2015Support Vector Regression and Computational Fluid Dynamics Modeling of Newtonian and Non-Newtonian Fluids in Annulus With Pipe Rotation
206Jul-2016A Survey of Partner Selection Methodologies for Virtual Enterprises and Development of a Goal Programming-Based Approach
2072016A Survey on Semantic Web and Big Data Technologies for Social Network Analysis
2082012Tempoxml: Nested Bitemporal Relationship Modeling and Conversion Tool for Fuzzy Xml
209May-2018Text-Based Analysis of Emotion by Considering Tweets
2102013Three Phase Flow Characteristics in Inclined Eccentric Annuli
2112014Tn-Rsi: Trend-Normalized Rsi Indicator for Stock Trading Systems With Evolutionary Computation
2122022Transfer Learning for Predicting Gene Regulatory Effects of Chemicals
2132013A Two-Level Cascade Evolutionary Computation Based Covered Call Trading Model
214Aug-2019Tı6al4v Malzemesinin Tornalama İşleminde Özgül Kesme Enerjisi ve Yüzey Pürüzlüğünün İncelenmesi ve Yapay Sinir Ağları Temelli Tahmin Modeli Geliştirilmesi
2152012The Unification and Assessment of Multi-Objective Clustering Results of Categorical Datasets With H-Confidence Metric
216Nov-2019Unsupervised Fingerprint Classification With Directional Flow Filtering
2172021Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
2189-Dec-2016Utilizing Maximal Frequent Itemsets and Social Network Analysis for Hiv Data Analysis
2192010Virex and Vrxquery: Interactive Approach for Visual Querying of Relational Databases To Produce Xml
2202017Weather Data Analysis and Sensor Fault Detection Using an Extended Iot Framework With Semantics, Big Data, and Machine Learning