Book

Text Mining Approaches for Biomedical Data This book highlights text mining techniques for biomedical and health databases, literature, and clinical […]

Journal

From Co-occurrence to Lexical Cohesion for Automatic Query Expansion This paper explores query expansion (QE) in Information Retrieval Systems (IRS), […]

Journal

Change Detection in Remote Sensing Image Data Comparing Algebraic and Machine Learning Methods This paper explores machine learning techniques for automatic change detection in remote sensing, addressing the need for efficient environmental […]

Chapter

Information Retrieval and Query Expansion for Biomedical Data This chapter explores the role of information retrieval (IR) in managing the […]

Chapter

Exploring Knowledge Graphs (KG): A Comprehensive Overview This chapter explores the significance of Knowledge Graphs (KGs) in the biomedical domain, […]

Chapter

Ethical Issues in Biomedical Text Mining This chapter examines the ethical challenges associated with deploying automated and smart healthcare systems, […]

Chapter

Building Knowledge Graphs in the Biomedical Domain: Methods and Case Studies This chapter provides a comprehensive guide to building biomedical […]

Chapter

Enhancing Heart Disease Diagnosis Through Particle Swarm Optimization and Ensemble Deep Learning Models This research combines Particle Swarm Optimization (PSO) […]

Conference

Improving effectiveness of query expansion using information theoretic approach This paper explores automatic query expansion to improve information retrieval performance […]

Conference

Machine learning approach for automatic document summarization This paper investigates a machine learning-based approach for automatic document summarization, focusing on […]

Conference

Genetic algorithm based model for effective document retrieval This paper proposes a genetic algorithm-based model to optimize similarity measures in […]

Conference

A Framework for Automatic Query Expansion This paper presents a framework and computational model for automatic query expansion using pseudo-relevance […]

Conference

Vat-rubars: A visualization and analytical tool for a rule-based recommender system to support teachers in a learner-centered learning approach This […]

Conference

A trainable document summarizer using Bayesian classifier approach This paper investigates a machine learning-based approach for document summarization, focusing on […]

Conference

Toward recommending learning tasks in a learner-centered approach This paper presents a rule-based recommender system designed to support learner-centered education […]

Conference

Student effort vs. outcome: analysis through Moodle logs This paper examines whether positive student effort in face-to-face courses supported by […]

Conference

A rule-based recommender system to suggest learning tasks This paper presents a rule-based recommender system designed to support learner-centered learning, […]

Conference

MOOC as supplementary tutoring to public school students learning This paper explores the integration of Massive Open Online Courses (MOOCs) […]

Conference

Co-occurrence based predictors for estimating query difficulty This paper explores query difficulty prediction to assess how reliably an information retrieval […]

Journal

Selecting Effective Expansion Terms for Better Information Retrieval This paper explores automatic query expansion to improve information retrieval performance by […]

Journal

An Empirical Investigation of the Different Levels of Gamification in an Introductory Programming Course This paper examines how different levels […]

Journal

Evaluation of awarding badges on students’ engagement in Gamified e-learning systems This paper examines the role of gamification in enhancing […]

Jounral

THESAURUS AND QUERY EXPANSION This paper explores how query expansion improves information retrieval by addressing challenges like word mismatches and […]

Journal

Multi-Class Pixel Certainty Active Learning Model for Land Cover Classification Using Hyperspectral Imagery This paper introduces the Pixel Certainty Active […]

Conference

Modular Neural Network Learning Using Fuzzy Temporal Database We proposed a novel mechanism for neural networks’ initial learning and training. […]

Conference

A GA Based Approach for Effective Information Retrieval Our work explored using Genetic Algorithms (GAs) to enhance Information Retrieval (IR) […]

Journal

A Framework for Efficient Document Ranking Using Order and Non-Order Based Fitness Function This paper explores the use of Genetic […]

Conference

WEBLORS–a personalized web-based recommender system WEBLORS is an adaptive recommender system designed to enhance learning experiences by delivering personalized web-based […]

Journal

PLORS: a personalized learning object recommender system This paper explores how traditional Learning Management Systems (LMS) support course administration but […]

Conference

Improving effectiveness of query expansion using information theoretic approach Automatic query expansion is a widely used method to enhance the […]