Tez Dosyaları 22
Context-Aware Prediction of User Performance Problems Caused by the Situationally-Induced Impairments and Disabilities
Predicting the Academic Influence and Trending Research Topics
Multilingual, multimodal and explainable approaches for automated fact-checking problem
FINANCIAL NAMED ENTITY RECOGNITION FOR TURKISH NEWS TEXTS
Information extraction from news related texts using graph mining techniques
Location recommendation for groups on location-based social networks
Document Clustering on Collection of Multidisciplinary Academic Texts: Exploring Document Embeddings and Clustering Techniques
INVESTIGATION AND ANALYSIS OF STATISTICAL ATTENTION MECHANISMS IN CLICK-THROUGH-RATE PREDICTION: THE IMPACT OF LAYER NORMALIZATION AND INTERACTION COMPONENT INTEGRATION
Machine learning based truncation point estimation in steady-state simulation
Feature based sentiment analysis on informal Turkish texts
Named entity recognition and explainability analysis on Turkish sports news texts
A NEW DATA MINING BASED UPSCALING APPROACH FOR REGIONAL WIND POWER FORECASTING
Analysis of graph and text representation techniques for news recommendation and news classification
Application of text mining to technology management domain to extract topics and trends
Explicit and implicit trust modeling compatibility and explicit trust link prediction in trust-based recommendation systems
Crypto asset taxonomy classification and crypto newssentiment analysis
Trust-aware location recommendation in location-based social networks
Developing novel methods on data stream classification and clustering for accuracy improvement
Detection and Description of Traffic Events Using Floating Car and Social Media Data
Designing and Debiasing Binary Classifiers for Irony and Satire Detection
Event detection via tracking the change in community structure, communication trends, and graph embeddings
Preserving privacy of health data residing in HL7 FHIR repositories through de-identification