- Roc Boronat, 117
Barcelona - +34-93-553.4540 ext. 2222
- eHealth, Applied AI, Information Retrieval, Information Filtering, Classification (Machine Learning), Multiagent Systems, and 18 moreAgent Based, (Multi-) Agent Technology, Recommender Systems, MultiAgent Systems (Computer Science), Health, Artificial Intelligence, Distributed Computing, Information Technology and System Integration, System Modeling and Simulation, Contextual Advertising, Intelligent Systems, Online Advertising, Telemonitoring in medicine, Quality of life, Ambient Intelligence AmI (in ), Text Categorization, Collaborative Filtering, and Multi Agent Systems and Technologiesedit
- Eloisa Vargiu, researcher of eHealth R&D group at Barcelona Digital, holds a Ph.D. degree in Electronic and Computer ... moreEloisa Vargiu, researcher of eHealth R&D group at Barcelona Digital, holds a Ph.D. degree in Electronic and Computer Engineering by the University of Cagliari (Italy). During her Ph.D., she studied the pro-active and adaptive behavior of agents and she developed a hierarchical agent architecture.
In the same period, she collaborated with the CRS4, an interdisciplinary research center located in Sardinia. During her post-doc activity, she worked on different projects on bioinformatics and information retrieval. She has collaborated more than 10 years with the Intelligent Agents and Soft-Computing (IASC) group at the Departament of Electrical and Electronic Engineering (DIEE), of Cagliari.
She is co-author of more than 50 peer-reviewed publications in internation journals and conferences, as well as co-editor of 3 books.edit
Research Interests: Distributed Computing, Information Retrieval, Artificial Intelligence, Information Filtering, Numerical Analysis, and 7 moreComputational Mathematics, Simulation, Dynamic Systems and Control, Information Technology and System Integration, Optimization Technology, System Modeling and Simulation, and Integration Technology of Automation Systems
Research Interests: Distributed Computing, Information Retrieval, Artificial Intelligence, Information Filtering, Numerical Analysis, and 7 moreComputational Mathematics, Simulation, Dynamic Systems and Control, Information Technology and System Integration, Optimization Technology, System Modeling and Simulation, and Integration Technology of Automation Systems
Research Interests:
Intelligent Information Access techniques attempt to overcome the limitations of current search devices by providing personalized information items and product/ service recommendations. They normally utilize direct or indirect user input... more
Intelligent Information Access techniques attempt to overcome the limitations of current search devices by providing personalized information items and product/ service recommendations. They normally utilize direct or indirect user input and facilitate the information search and decision processes, according to user needs, preferences and usage patterns. Recent developments at the intersection of Information Retrieval, Information Filtering, Machine Learning, User Modelling, Natural Language Processing and Human-Computer Interaction offer novel solutions that empower users to go beyond single-session lookup tasks and that aim at serving the more complex requirement: “Tell me what I don’t know that I need to know”. Information filtering systems, specifically recommender systems, have been revolutionizing the way information seekers find what they want, because they effectively prune large information spaces and help users in selecting items that best meet their needs and preferences. Recommender systems rely strongly on the use of various machine learning tools and algorithms for learning how to rank, or predict user evaluation, of items. Information Retrieval systems, on the other hand, also attempt to address similar filtering and ranking problems for pieces of information such as links, pages, and documents. But they generally focus on the development of global retrieval techniques, often neglecting individual user needs and preferences. The book aims to investigate current developments and new insights into methods, techniques and technologies for intelligent information access from a multidisciplinary perspective. It comprises six chapters authored by participants in the research event Intelligent Information Access, held in Cagliari (Italy) in December 2008.
Research Interests:
Available document collections are more and more required for supervised text categorization tasks. They are typically collections of documents classified by domain engineers. In this paper, we propose a semantic text categorization... more
Available document collections are more and more required for supervised text categorization tasks. They are typically collections of documents classified by domain engineers. In this paper, we propose a semantic text categorization approach able to automatically create document collections in which documents are classified according to WordNet Domains taxonomy. Experiments have been performed by training a classifier with an automatic document collection and comparing results with those obtained
Text Categorization is the task of assigning predefined categories to text documents. It can provide conceptual views of document collections and has many important applications in the real world. Nowadays, most of the research on text... more
Text Categorization is the task of assigning predefined categories to text documents. It can provide conceptual views of document collections and has many important applications in the real world. Nowadays, most of the research on text categorization has focused on mapping text documents to a set of categories among which structural relationships hold. Without loss of generality, let us assume that a classifier entrusted with recognizing documents of a given category outputs a degree of ...
Materials and Methods Current workflow strategies deal with a network of nodes in which each node represent a particular application. This is an application-oriented view, in which the user is required to know details of each application... more
Materials and Methods Current workflow strategies deal with a network of nodes in which each node represent a particular application. This is an application-oriented view, in which the user is required to know details of each application in order to choose the best parameters and to configure the pipeline. These problems become relevant especially in workflows with a large number of applications.
Research Interests:
Information Retrieval, MultiAgent Systems, Applications way, automated content-based document management tasks [have gained a main task in the information systems field [30]. In particular, web information retrieval is highly popular and... more
Information Retrieval, MultiAgent Systems, Applications way, automated content-based document management tasks [have gained a main task in the information systems field [30]. In particular, web information retrieval is highly popular and presents a technical challenge due to the heterogeneity and size of the web, which is continuously growing (see [17],
Abstract—This paper addresses the problem of how to implement a proactive behavior according to a two-tiered (ie, both theoretical and pragmatic) perspective. Theoretically, we claim that abstraction must be used to render agents able to... more
Abstract—This paper addresses the problem of how to implement a proactive behavior according to a two-tiered (ie, both theoretical and pragmatic) perspective. Theoretically, we claim that abstraction must be used to render agents able to solve complex problems. Pragmatically, we illustrate a technique devised to generate abstract spaces starting from a “ground” description of the domain being modeled.
The application of agent methodologies in process monitoring and control is a relatively novel approach, particularly suitable for distributed and dislocated systems. As for marine reservers, access monitoring is aimed at avoiding... more
The application of agent methodologies in process monitoring and control is a relatively novel approach, particularly suitable for distributed and dislocated systems. As for marine reservers, access monitoring is aimed at avoiding intrusions of unauthorized boats–also considering that, typically, marine reserves are located in areas not easily accessible. Typical solutions consist of using radar systems or suitable cameras activated by movement sensors. In this paper, we present a multiagent system aimed at monitoring boats in ...
Research Interests:
Research Interests: Bioinformatics, Information Retrieval, Artificial Intelligence, Biomedical Engineering, Natural Language Processing, and 12 moreData Mining, Multiagent Systems, Computational Biology, Database Management Systems, Multi Agent Systems, Pubmed, Information Storage and Retrieval, Learning System, Filtering, Internet, Electrical And Electronic Engineering, and Multiagent System
Research Interests:
This paper describes an extension to PDDL, devised to support hierarchical planning. The proposed syntactic notation should be considered as an initial suggestion, headed at promoting a discussion about how the standard PDDL can be... more
This paper describes an extension to PDDL, devised to support hierarchical planning. The proposed syntactic notation should be considered as an initial suggestion, headed at promoting a discussion about how the standard PDDL can be extended to represent abstraction hierarchies.
Research Interests:
Research Interests:
Abstract—The continuous growth of information sources on the web, together with the corresponding volume of dailyupdated contents, makes the problem of finding news and articles a challenging task. This paper presents a multiagent system... more
Abstract—The continuous growth of information sources on the web, together with the corresponding volume of dailyupdated contents, makes the problem of finding news and articles a challenging task. This paper presents a multiagent system aimed at creating press reviews from online newspapers by progressively filtering information that flows from sources to the end user, so that only relevant articles are retained. Once extracted, newspaper articles are classified according to a hierarchical text categorization approach. ...
Research Interests:
In this paper, a system able to retrieve contents deemed relevant for the users through a text categorization process, is presented. The system is built exploiting a generic multiagent architecture that supports the implementation of... more
In this paper, a system able to retrieve contents deemed relevant for the users through a text categorization process, is presented. The system is built exploiting a generic multiagent architecture that supports the implementation of applications aimed at (i) retrieving heterogeneous data spread among different sources (eg, generic html pages, news, blogs, forums, and databases);(ii) filtering and organizing them according to personal interests explicitly stated by each user;(iii) providing adaptation techniques to improve and ...
The wide acceptance of object-oriented environments and proposals has renewed interest in all the class inheritance related issues; in particular its implementation in distributed architectures. The paper focuses on how the inheritance... more
The wide acceptance of object-oriented environments and proposals has renewed interest in all the class inheritance related issues; in particular its implementation in distributed architectures. The paper focuses on how the inheritance relationship could impact on (possibly heterogeneous) distributed systems that do not assume co-residence of objects and their classes / superclasses. In these systems, the object computation requires either
Research Interests:
Research Interests:
Research Interests:
Abstract. Hierarchical text categorization is a challenging task to be investigated when adopting large-scale taxonomies. Real-world scenarios are typically characterized by a huge amount of non relevant documents with respect to the... more
Abstract. Hierarchical text categorization is a challenging task to be investigated when adopting large-scale taxonomies. Real-world scenarios are typically characterized by a huge amount of non relevant documents with respect to the documents a user is looking for (the input imbalance problem). In this paper, we are interested in investigating how the ratio between relevant and non relevant documents affects the performances of a classifier system. To this end, we propose a progressive filtering approach. Experiments, performed ...
Abstract: The continuous growth of available document collections makes text categorization a challenging task to be investigated. Real-world scenarios are typically characterized by a huge amount of non relevant documents with respect to... more
Abstract: The continuous growth of available document collections makes text categorization a challenging task to be investigated. Real-world scenarios are typically characterized by a huge amount of non relevant documents with respect to the documents a user is really looking for. In this paper, we investigate how the ratio between relevant and non relevant documents affects the performances of a classifier system. In particular, to counterbalance the negative impact of imbalanced inputs, we propose a novel progressive filtering ...
The wide acceptance of object oriented environments and proposals has renewed interest in all the class inheritance related issues; in particular its implementation in distributed architectures. The paper focuses on how the inheritance... more
The wide acceptance of object oriented environments and proposals has renewed interest in all the class inheritance related issues; in particular its implementation in distributed architectures. The paper focuses on how the inheritance relationship could impact on (possibly heterogeneous) distributed systems that do not assume co-residence of objects and their classes/superclasses. In these systems, the object computation requires either to move/copy the (class) inheritance graph or to move the objects themselves. ...
Research Interests:
Research Interests:
The Planning Domain Description Language (PDDL) was first devised and proposed by a committee led by Drew McDermott in preparation for what turned out to be the first in a series of international planning competitions, held in 1998. Its... more
The Planning Domain Description Language (PDDL) was first devised and proposed by a committee led by Drew McDermott in preparation for what turned out to be the first in a series of international planning competitions, held in 1998. Its role at that stage was simply to support a uniform foundation for the competitors in order to simplify the problem of domain encoding. Prior to its development, planners used a mixture of similar, but slightly different, domain description languages. The differences made sharing domains significantly ...
Research Interests:
Negli ultimi anni si è assistito al diffondersi di applicazioni e servizi software in grado di prendere decisioni in maniera autonoma. In particolare, sono sempre più richieste architetture aperte in grado di evolvere. Questo fenomeno ha... more
Negli ultimi anni si è assistito al diffondersi di applicazioni e servizi software in grado di prendere decisioni in maniera autonoma. In particolare, sono sempre più richieste architetture aperte in grado di evolvere. Questo fenomeno ha quindi portato al crescente aumento della complessità nella progettazione di sistemi software. La definizione di appropriati meccanismi di comunicazione, di negoziazione e di coordinamento tra i componenti software e gli attori umani motiva lo studio di tecniche e metodi che ...