A5047517734- Semantic Web and Ontologies
- Cognitive Computing and Networks
- Big Data and Business Intelligence
- Rough Sets and Fuzzy Logic
- Logic, Reasoning, and Knowledge
- Data Mining Algorithms and Applications
- Cognitive Science and Mapping
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Multi-Agent Systems and Negotiation
- Service-Oriented Architecture and Web Services
- Recommender Systems and Techniques
- Advanced Text Analysis Techniques
- Advanced Computational Techniques and Applications
- Complex Network Analysis Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- AI-based Problem Solving and Planning
- Spam and Phishing Detection
- Opinion Dynamics and Social Influence
- Expert finding and Q&A systems
- Multi-Criteria Decision Making
- Web Data Mining and Analysis
- Robotics and Automated Systems
- Natural Language Processing Techniques
Wrocław University of Science and Technology
2016-2025
AGH University of Krakow
2016-2025
Trường ĐH Nguyễn Tất Thành
2019-2025
Washington University in St. Louis
2024
Western Norway University of Applied Sciences
2023-2024
Phenikaa University
2024
Can Tho University
2024
Engineering Systems (United States)
2020-2023
University of Memphis
2020-2023
Institute of Electrical and Electronics Engineers
2014-2023
The increase in the volume of user-generated content on Twitter has resulted tweet sentiment analysis becoming an essential tool for extraction information about users' emotional state.Consequently, there been a rapid growth area natural language processing.Tweet is increasingly applied many areas, such as decision support systems and recommendation systems.Therefore, improving accuracy become practical interest researchers.Many approaches have tried to improve performance methods by using...
Achieving the UN Sustainable Development Goals (SDGs) demands a shift by industry, governments, society, and individuals to reach adequate levels of awareness actions address sustainability challenges. Software systems will play an important role in moving towards these targets. Sustainability skills are necessary support development software provide sustainable IT-supported services for citizens. While there is growing number academic bodies including education engineering computer science...
The rapid growth of the Industrial Revolution (IR) 4.0 has prompted Malaysian Education Institution to transform current education system into future 4.0. impact IR opened a new paradigm for Educational ensure that all lecturers are capable using information and communication technologies (ICT) in teaching learning. However, there is challenge identifying appropriate digital learning platforms tools engage students at their own pace. In this paper, we aimed investigate demand according needs...
Social media following its introduction has witnessed a lot of scholarly attention in recent years due to growing popularity. These various social sites have become the mecca information because their less costly and easy accessibility. Although these were developed enhance our lives, they are seen as both angelic vicious. Growing misinformation fake content by malicious users not only plagued online ecosystem into chaos, but it also meted untold suffering humankind. Recently, reverberation...
Recently, aspect-level sentiment analysis methods using graph convolutional network (GCN)-based structures with fairly good performance have been introduced. However, previous GCN-based often experience one of the following limitations. First, GCNs usually use edges binary weights. weights are not helpful in many tasks. Second, these only focus on extracting node features from some single words or phrases and ignore their context entire sentence paragraph consider information independent...
Sentiment analysis in the text plays a more and significant role many systems, e.g., sentence-level sentiment (SLSA) recommender decision-making systems. Various methods have been developed to improve performance of SLSA, newest as graph convolutional networks (GCNs)-based with promising accuracy. However, it often happens that sentences contain high ambiguity sentiment. GCNs are not capable capturing these inherent ambiguities performance. Meanwhile, fuzzy logic theory can knowledge...
Vehicle Re-Identification (Re-ID) aims to identify the same vehicle across different cameras, hence plays an important role in modern traffic management systems. The technical challenges require algorithms must be robust views, resolution, occlusion and illumination conditions. In this paper, we first analyze main factors hindering Re-ID performance. We then present our solutions, specifically targeting dataset Track 2 of 5th AI City Challenge, including (1) reducing domain gap between real...
We introduce depth-bounded fuzzy bisimulation between Kripke models. Roughly speaking, a is decreasing sequence of binary relations whose infimum bisimulation. provide logical characterizations bisimulations models w.r.t. multimodal logic fK over complete residuated lattices, including invariance formulas with modal depth bounded by n under the nth component bisimulation, as well Hennessy-Milner property bisimulations. also polynomial-time algorithm for computing greatest two finite when...
Is the intelligence of a collective larger than its members? How does one determine knowledge on basis In this paper, we try to answer these questions. Many examples show that is not usual union members. If assume members possess their states about some common real world, and reflect degree proper (real) state then question arises: collective, what quality? use Consensus Theory solve problem that, in many cases, more intelligence.
Topological data analysis is a new theoretical trend using topological techniques to mine data. This approach helps determine structures. It focuses on investigating the global shape of rather than local information high-dimensional The Mapper algorithm considered as sound representative in this area. used cluster and identify concise meaningful structures that are out reach for many other clustering methods. In article, we propose method called Shape Fuzzy C-Means (SFCM) algorithm, which...
The increase in the volume of user-generated content on Twitter has resulted tweet sentiment analysis becoming an essential tool for extraction information about users' emotional state. Consequently, there been a rapid growth area natural language processing. Tweet is increasingly applied many areas, such as decision support systems and recommendation systems. Therefore, improving accuracy become practical interest researchers. Many approaches have tried to improve performance methods by...
Recent studies on heterogeneous information network (HIN) embedding-based recommendations have encountered challenges. These challenges are related to the data heterogeneity of associated unstructured attribute or content (e.g., text-based summary/description) users and items in context HIN. In order address these challenges, this article, we propose a novel approach semantic-aware HIN recommendation, called SemHE4Rec. our proposed SemHE4Rec model, define two embedding techniques for...