A5085456188- Multi-Agent Systems and Negotiation
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- Recommender Systems and Techniques
- Business Process Modeling and Analysis
- AI-based Problem Solving and Planning
- Online Learning and Analytics
- Service-Oriented Architecture and Web Services
- Speech and dialogue systems
- Video Analysis and Summarization
- Open Education and E-Learning
- Topic Modeling
- Intelligent Tutoring Systems and Adaptive Learning
- Mobile Agent-Based Network Management
- Access Control and Trust
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Innovative Teaching and Learning Methods
- Knowledge Management and Sharing
- Advanced Software Engineering Methodologies
- Multimodal Machine Learning Applications
- Opinion Dynamics and Social Influence
- Misinformation and Its Impacts
- Software Engineering Research
Universitat Politècnica de València
2015-2024
Artificial Intelligence Research Institute
2020-2024
University of Rome Tor Vergata
2010
University of Cambridge
2009
Based on the premise that university student dropout is a social problem in ecosystem of any country, technological leverage way allows us to build proposals solve poorly met need education systems. Under this scenario, study presents and analyzes eight predictive models forecast dropout, based data mining methods techniques, using WEKA for its implementation, with dataset 4365 academic records students from National University Moquegua (UNAM), Peru. The objective determine which model best...
The lack of annotated data on professional argumentation and complete argumentative debates has led to the oversimplification inability approaching more complex natural language processing tasks. Such is case automatic evaluation debates. In this paper, we propose an original hybrid method automatically predict winning stance in kind For that purpose, combine concepts from theory such as frameworks semantics, with Transformer-based architectures neural graph networks. Furthermore, obtain...
This study describes the development of a model for predicting footwear fit on basis user data. The involved design classification system which grouped different types into classes functional features. Foot dimensions total 316 female participants were measured with 3D scanner and individual preferences regarding overall shoe input system. Fitting trials performed to determine subjective evaluations classes. results show mean accuracy approximately 65.7% in prediction fitting level using...
Recommender Systems aim to provide users with search results close their needs, making predictions of preferences. In virtual learning environments, Educational deliver objects according the student's characteristics, preferences and needs. A learni ng object is an educational content unit, which once found retrieved may assist students in process. previous work, authors have designed evaluated several recommendation techniques for delivering most appropriate each specific student. Also,...
The automatic recipe recommendation which take into account the dietary restrictions of users (such as allergies or intolerances) is a complex and open problem. Some limitations problem lack food databases correctly labeled with its potential allergens non-unification this information by companies in sector. In absence an appropriate solution, people affected cannot use recommender systems, because recommend them inappropriate recipes. order to resolve situation, article we propose solution...
In this paper, we present a persuasive recommendation module included in the iGenda framework. is cognitive assistant that helps care-receivers and caregivers management of their activities daily living, by resolving scheduling conflicts promoting active aging activities. The proposed new will allow system to select recommend users an event potentially best suits his/her interests (likes or medical condition). multi-agent approach followed framework facilitates easy integration these...
Abstract Nowadays, Multi-Agent Systems (MAS) are broadening their applications to open environments, where heterogeneous agents could enter into the system, form agents’ organizations and interact. The high dynamism of MAS gives rise potential conflicts between thus, a need for mechanism reach agreements. Argumentation is natural way harmonizing opinion that has been applied many disciplines, such as Case-Based Reasoning (CBR) MAS. Some approaches apply CBR manage argumentation in have...