Papers by Hamideh Afsarmanesh
Studies in Informatics and Control, 2013
Ageing societies face tough challenges namely in terms of the pressure on their healthcare and so... more Ageing societies face tough challenges namely in terms of the pressure on their healthcare and social security systems, which makes it urgent to find new models to accommodate current demographic trends. A possible answer to this challenge may come from new integrated and technology-supported services. In this direction, a European roadmapping initiative has addressed the implementation of a new vision for technological support to ageing. The main findings of this initiative are presented as a roadmap, which synthesizes the contribution of a large number of stakeholders coming from different backgrounds
IEEE Access, 2018
Last decades have witnessed considerable growth in formation of collaborative networks in industr... more Last decades have witnessed considerable growth in formation of collaborative networks in industry and services, as well as in the rest of society. This trend is boosted by progress in information and communication technologies, and more specifically by ubiquitous access to computing and fast move toward the hyper-connected world. But this growth also has also raised fundamental questions regarding its effectiveness and sustainability of networks. On the other hand, Nature is full of examples of successful collaborative processes, both intra-and inter-species. Hence, we consider learning from Nature to provide a promising strategy towards both better understanding of collaboration and more effective designing of networks with sustained collaboration. As such, a systematic literature survey is conducted on recent works originated in Nature-related disciplines with focus on collaboration. As a result, a set of important organizational models, collaborative behavior patterns, and collaboration facilitation mechanisms are identified and categorized. Furthermore, our analysis results on potential contribution of such aspects to more intelligent and optimized collaborative networks area are briefly outlined.
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific ... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Lecture Notes in Computer Science, 2006
ABSTRACT
2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Recently, Semi-Supervised learning algorithms such as co-training are used in many domains. In co... more Recently, Semi-Supervised learning algorithms such as co-training are used in many domains. In co-training, two classifiers based on different subsets of the features or on different learning algorithms are trained in parallel and unlabeled data that are classified differently by the classifiers but for which one classifier has large confidence are labeled and used as training data for the other. In this paper, a new form of co-training, called Ensemble-Co-Training, is proposed that uses an ensemble of different learning algorithms. Based on a theorem by Angluin and Laird that relates noise in the data to the error of hypotheses learned from these data, we propose a criterion for finding a subset of high-confidence predictions and error rate for a classifier in each iteration of the training process. Experiments show that the new method in almost all domains gives better results than the state-of-the-art methods.
Production Planning & Control, 2011
The market is continuously evolving to match the pace of business transactions conducted in today... more The market is continuously evolving to match the pace of business transactions conducted in today's technically connected and digitalised world. Organisations need to be properly prepared to either individually or in collaboration with others match the market evolution, which is characterised by: the increasing intensity of competition on acquisition of opportunities, the demand for the large amount of resources and
Background: Protein phosphorylation modulates protein function in organisms at all levels of comp... more Background: Protein phosphorylation modulates protein function in organisms at all levels of complexity. Parasites of the Leishmania genus undergo various developmental transitions in their life cycle triggered by changes in the environment. The molecular mechanisms that these organisms use to process and integrate these external cues are largely unknown. However Leishmania lacks transcription factors, therefore most regulatory processes may occur at a post-translational level and phosphorylation has recently been demonstrated to be an important player in this process. Experimental identification of phosphorylation sites is a time-consuming task. Moreover some sites could be missed due to the highly dynamic nature of this process or to difficulties in phospho-peptide enrichment. Results: Here we present PhosTryp, a phosphorylation site predictor specific for trypansomatids. This method uses an SVM-based approach and has been trained with recent Leishmania phosphosproteomics data. PhosTryp achieved a 17% improvement in prediction performance compared with Netphos, a non organism-specific predictor. The analysis of the peptides correctly predicted by our method but missed by Netphos demonstrates that PhosTryp captures Leishmania-specific phosphorylation features. More specifically our results show that Leishmania kinases have sequence specificities which are different from their counterparts in higher eukaryotes. Consequently we were able to propose two possible Leishmania-specific phosphorylation motifs. We further demonstrate that this improvement in performance extends to the related trypanosomatids Trypanosoma brucei and Trypanosoma cruzi. Finally, in order to maximize the usefulness of PhosTryp, we trained a predictor combining all the peptides from L. infantum, T. brucei and T. cruzi. Conclusions: Our work demonstrates that training on organism-specific data results in an improvement that extends to related species. PhosTryp is freely available at http://phostryp.bio.uniroma2.it
Proceedings of the First International Conference on Software and Data Technologies, 2006
In order to deal with the problem of semantic and schematic heterogeneity in collaborative networ... more In order to deal with the problem of semantic and schematic heterogeneity in collaborative networks, matching components among database schemas need to be identified and heterogeneity needs to be resolved, by creating the corresponding mappings in a process called schema matching. One important step in this process is the identification of the syntactic and semantic similarity among elements from different schemas, usually referred to as Linguistic Matching. The Linguistic Matching component of a schema matching and integration system, called SASMINT, is the focus of this paper. Unlike other systems, which typically utilize only a limited number of similarity metrics, SASMINT makes an effective use of NLP techniques for the Linguistic Matching and proposes a weighted usage of several syntactic and semantic similarity metrics. Since it is not easy for the user to determine the weights, SASMINT provides a component called Sampler as another novelty, to support automatic generation of weights.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Collaborative systems will form the warp for smart networked environments wherein humans, organiz... more Collaborative systems will form the warp for smart networked environments wherein humans, organizations, intelligent agents, and devices collaborate. The smart environments of near future will be context sensitive systems within which the physical world is richly and transparently interwoven with sensors, actuators, and computational elements that seamlessly embed everyday objects and interconnect them through networks. Modeling, design, and development of collaborative systems in this context will support a large number of emerging applications including security, care and assistance, transportation, construction, sustainability and energy management, education, government, and manufacturing. In this context, a brief survey of trends and challenges is presented.
Proceedings of the Tenth International Conference on Enterprise Information Systems, 2008
Modeling and management of the knowledge/information related to the organizations is fundamental ... more Modeling and management of the knowledge/information related to the organizations is fundamental to efficient operation of the Collaborative Networked Organizations (CNOs). Continuous changes in different aspects of involved organizations, is an unavoidable reflection to the dynamic changes in the demands of stakeholders and customers in the market / society. Organizations' profiles, and especially their competency characteristics tailored to the requirements of opportunities emerging in the market, need to be modeled and managed. Furthermore, mechanisms are required for handling the flexible representation and processing of the organizations' knowledge. Both research and practice have shown that the formation of collaborative networked organizations requires pre-establishment of a cluster, also called a breeding environment. In this paper we address the Virtual organizations Breeding Environments (VBEs), which provide the necessary conditions and support for configuration and creation of Virtual Organizations (VOs). Using the ontology engineering approaches, we present an approach for modeling of organizations' knowledge inside VBEs, and specify the ontology for their profiles and competencies. Furthermore, we present the required mechanisms for management of the organizations' knowledge, and specify the functionality required to manipulate organizations' information through the life cycle of VBEs. The paper also addresses the logical design of a database for storage of organizations' information and for the visualization of organizations' profile and competency knowledge.
Collaboration in a Data-Rich World, 2017
The notion of Industry 4.0 is having a catalyzing effect for the integration of diverse new techn... more The notion of Industry 4.0 is having a catalyzing effect for the integration of diverse new technologies towards a new generation of more efficient, agile, and sustainable industrial systems. From our analysis, collaboration issues are at the heart of most challenges of this movement. Therefore, an analysis of collaboration needs to be made at all dimensions of Industry 4.0 vision, complemented with a mapping of these needs to the existing results from the collaborative networks area. In addition to such mapping, some new research challenges for the collaborative networks community, as induced by Industry 4.0, are also identified.
Studies in Informatics and Control, 2013
In this context, the BRAID project [9] was launched with the aim of developing a comprehensive RT... more In this context, the BRAID project [9] was launched with the aim of developing a comprehensive RTD roadmap for active ageing by consolidating and extending existing roadmaps in close interaction with relevant stakeholders. The proposed strategic research agenda, when successfully implemented, shall take the society from the current situation, i.e. the baseline, to a desirable future, i.e. a vision of what society wishes to reach in the future. Although we started with previous partial roadmaps (e.g. AALIANCE [10], CAPSIL [11], ePAL [12], SENIOR [13]) and other recommendations that have originated in
Global Production Management, 1999
Flexible coordination and configuration is a major aspect in the development of open support infr... more Flexible coordination and configuration is a major aspect in the development of open support infrastructures for Industrial Virtual Enterprises, particularly in the context of small and medium size enterprises. The steps involved in the creation and configuration of an infrastructure to support the life cycle of a virtual enterprise are introduced. The specific approach of hierarchical coordination infrastructure, being partly developed and applied to the Esprit PRODNET II project is presented. The coordination / information-sharing kernel is introduced as the composition of a hierarchical (workflow-like) activity management approach with a distributed / federated database management system.
IFIP Advances in Information and Communication Technology, 2010
In Collaborative Network (CN) environments, creation of collective understanding about both the a... more In Collaborative Network (CN) environments, creation of collective understanding about both the aimed outcome and the procedure for achieving it by its members is the antecedent to any successful co-working and codevelopment. While a part of the common CN knowledge is pre-existing to its establishment, once the collaboration activities begin the emergent knowledge also needs to be commonly understood within this environment. Creating such commonality in understanding is however quite challenging. This paper suggests a bottom-up approach to reach collective understanding by all individuals involved in these networks, namely by the staff involved at all organizations which participate in the CN. The proposed approach is founded on the idea of learning-together by the CN members to reach their collective understanding. In this approach, the domain/application experts in the CN act as the instructors and content providers, and assist with the modeling/remolding of the education domain for the CN environment. Considering that the individuals involved in the CN are highly diverse and have different backgrounds, their learning requirements are also highly varied. Aiming to reach common understanding in CNs, this paper first addresses the main challenges in this area of learning; it then presents the related state-of-the-art and proposes a high level architecture for personalized learning of the members in collaborative networks.
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Papers by Hamideh Afsarmanesh