2023 |
A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances |
2023 |
A hybrid composite features based sentence level sentiment analyzer |
2022 |
Questioning the Anisotropy of Pedestrian Dynamics: An Empirical Analysis with Artificial Neural Networks |
2022 |
A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics |
2021 |
Using Latent Dirichlet Allocation and Text Mining Techniques for Understanding Medical Literature |
2021 |
Multi-modality Search and Recommendation on Palestinian Cultural Heritage Based on the Holy-Land Ontology and Extrinsic Semantic Resources |
2021 |
Semantics-based key concepts identification for documents indexing and retrieval on the web |
2020 |
Semantic Graph based Term Expansion for Sentence-Level Sentiment Analysis |
2020 |
A Knowledge-based Model for Semantic Oriented Contextual Advertising |
2020 |
Head Concepts Selection for Verbose Medical Queries Expansion |
2020 |
Experimental Investigation on the Alleged Gender-differences in Pedestrian Dynamics: A Study Reveals No Gender Differences in Pedestrian Movement Behavior |
2018 |
Experimental Evaluation of Query Reformulation Techniques in the Context of Medical Information Retrieval |
2018 |
Analysis and shortcomings of e-recruitment systems: Towards a semantics-based approach addressing knowledge incompleteness and limited domain coverage |
2015 |
Addressing semantic heterogeneity through multiple knowledge base assisted merging of domain-specific ontologies |
2013 |
Coupling semantic and statistical techniques for dynamically enriching web ontologies |
2011 |
Towards Improving Meta-Search through Exploiting an Integrated Search Model |
2011 |
On the Merging of Domain-Specific Heterogeneous Ontologies Using WordNet and Web Pattern-Based Queries |