The Experts below are selected from a list of 105 Experts worldwide ranked by ideXlab platform
Francis Karst - One of the best experts on this subject based on the ideXlab platform.
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Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation.
FEMS microbiology letters, 2003Co-Authors: Jean Luc Legras, Francis KarstAbstract:A new primer pair (delta12–delta21) for polymerase chain reaction-based yeast typing was designed using the yeast genome sequence. The specificity of this primer pair was checked by the comparison of the electrophoresis pattern with a Virtual Profile calculated from Blast data. The analysis of 53 commercial and laboratory Saccharomyces cerevisiae yeast strains showed a clear improvement of interdelta analysis using the newly designed primers.
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Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation
FEMS Microbiology Letters, 2003Co-Authors: Jean Luc Legras, Francis KarstAbstract:A new primer pair (delta12-delta21) for polymerase chain reaction-based yeast typing was designed using the yeast genome sequence. The specificity of this primer pair was checked by the comparison of the electrophoresis pattern with a Virtual Profile calculated from Blast data. The analysis of 53 commercial and laboratory Saccharomyces cerevisiae yeast strains showed a clear improvement of interdelta analysis using the newly designed primers. © 2003 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
Anmol Bhasin - One of the best experts on this subject based on the ideXlab platform.
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improving the discriminative power of inferred content information using segmented Virtual Profile
Conference on Recommender Systems, 2014Co-Authors: Haishan Liu, Anuj Goyal, Trevor Walker, Anmol BhasinAbstract:We present a novel component of a hybrid recommender system at LinkedIn, where item features are augmented by a Virtual Profile based on observed user-item interactions. A Virtual Profile is generated by representing an item in the user feature space and leveraging the overrepresented user features from users who interacted with the item. It is a way to think about Collaborative Filtering with content features. The core principle is that if the feature occurs with high probability for the users who interacted with an item (henceforth termed as relevant users) versus those who did not (henceforth termed as non-relevant users), then that feature is a good candidate to be included in the Virtual Profile of the item in question. However, this scheme suffers from the data imbalance problem because observed relevant users are usually an extremely small minority group compared to the whole user base. Feature selection in this skewed setting is prone to noise from the overwhelming non-relevant examples that belong to the majority group. To alleviate the problem, we propose a method to select the most relevant non-relevant examples from the majority group by segmenting users on certain intelligently selected feature dimensions. The resulting Virtual Profile from the method is called the segmented Virtual Profile. Empirical evaluation on a real-world large scale recommender system at LinkedIn shows that our strategies for segmentation yield significantly better results.
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RecSys - Improving the discriminative power of inferred content information using segmented Virtual Profile
Proceedings of the 8th ACM Conference on Recommender systems - RecSys '14, 2014Co-Authors: Haishan Liu, Anuj Goyal, Trevor Walker, Anmol BhasinAbstract:We present a novel component of a hybrid recommender system at LinkedIn, where item features are augmented by a Virtual Profile based on observed user-item interactions. A Virtual Profile is generated by representing an item in the user feature space and leveraging the overrepresented user features from users who interacted with the item. It is a way to think about Collaborative Filtering with content features. The core principle is that if the feature occurs with high probability for the users who interacted with an item (henceforth termed as relevant users) versus those who did not (henceforth termed as non-relevant users), then that feature is a good candidate to be included in the Virtual Profile of the item in question. However, this scheme suffers from the data imbalance problem because observed relevant users are usually an extremely small minority group compared to the whole user base. Feature selection in this skewed setting is prone to noise from the overwhelming non-relevant examples that belong to the majority group. To alleviate the problem, we propose a method to select the most relevant non-relevant examples from the majority group by segmenting users on certain intelligently selected feature dimensions. The resulting Virtual Profile from the method is called the segmented Virtual Profile. Empirical evaluation on a real-world large scale recommender system at LinkedIn shows that our strategies for segmentation yield significantly better results.
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RecSys - Generating supplemental content information using Virtual Profiles
Proceedings of the 7th ACM conference on Recommender systems, 2013Co-Authors: Haishan Liu, Mohammad Shafkat Amin, Baoshi Yan, Anmol BhasinAbstract:We describe a hybrid recommendation system at LinkedIn that seeks to optimally extract relevant information pertaining to items to be recommended. By extending the notion of an item Profile, we propose the concept of a "Virtual Profile" that augments the content of the item with rich set of features inherited from members who have already shown explicit interest in it. Unlike item-based collaborative filtering, we focus on discovering the characteristic descriptors that underlie the item-user association. Such information is used as supplemental features in a content-based filtering system. The main objective of Virtual Profiles is to provide a means to tap into rich-content information from one type of entity and propagate features extracted from which to other affiliated entities that may suffer from relative data scarcity. We empirically evaluate the proposed method on a real-world community recommendation problem at LinkedIn. The result shows that the Virtual Profiles outperform a collaborative filtering based approach (user who likes this also likes that). In particular, the improvement is more significant for new users with only limited connections, demonstrating the capability of the method to address the cold-start problem in pure collaborative filtering systems.
Juan Manuel Murillo - One of the best experts on this subject based on the ideXlab platform.
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Complex event processing for health monitoring
Gerontechnology, 2019Co-Authors: Alejandro Pérez-vereda, Daniel Flores-martín, Carlos Canal, Juan Manuel MurilloAbstract:The increase of the life expectancy has become a challenge in regions with a low population density. This fact is caused by the existence of small towns all far from one another and with the peculiarity of many elders with special health care living there. This situation increases in a high percentage the health costs of the region having to attend daily all these elders who need a close monitoring. We live in a IoT era with a huge quantity of new connected devices with lots of sensors. Taking advantage of this, it is possible to monitor these elders from the distance without having to cover the complete area of the region every day. This way, our approach is using a mobile centric architecture that permits the elders having a device which infers a health Virtual Profile of them with data from its sensors and from other smart devices like bands with pulsometers. At this point we propose using Complex Event Processing techniques to combine the data coming from all sources and analyze it to extract meaningful information for the doctors and caregivers and even detect important events like falls in real time.
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ICWE Workshops - Towards Dynamically Programmable Devices Using Beacons
Current Trends in Web Engineering, 2018Co-Authors: Alejandro Pérez-vereda, Daniel Flores-martín, Carlos Canal, Juan Manuel MurilloAbstract:With the grow of the Web of Things, lots of devices are being connected to the network. Many of these devices require human interaction when using them. In a desirable scenario, technology should allow to automatically adapt the behavior of these devices to the needs and expectations of their users. To this extent, in previous work we proposed the Internet of People model to automatically develop Virtual Profiles of people stored in their smartphones. However, in order to build a complete Virtual Profile with information about the user’s environment and context, we need also the contribution of these surrounding devices. Our goal is to develop a framework in which users and smart devices are integrated seamlessly and in real time, allowing programmatic adaptation and update of both Virtual user Profiles and surrounding devices. As a proof of concept, in this paper we propose the use of beacons to dynamically download and execute in the smartphone scripts for updating the Virtual Profile with context information, and trigger actions both in the smartphone and the devices. This way, we take a first step to an effective Programmable World, in which everyday objects connected to the network can be programmatically adapted to their users.
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Towards Dynamically Programmable Devices Using Beacons
Current Trends in Web Engineering, 2018Co-Authors: Alejandro Pérez-vereda, Daniel Flores-martín, Carlos Canal, Juan Manuel MurilloAbstract:With the grow of the Web of Things, lots of devices are being connected to the network. Many of these devices require human interaction when using them. In a desirable scenario, technology should allow to automatically adapt the behavior of these devices to the needs and expectations of their users. To this extent, in previous work we proposed the Internet of People model to automatically develop Virtual Profiles of people stored in their smartphones. However, in order to build a complete Virtual Profile with information about the user’s environment and context, we need also the contribution of these surrounding devices. Our goal is to develop a framework in which users and smart devices are integrated seamlessly and in real time, allowing programmatic adaptation and update of both Virtual user Profiles and surrounding devices. As a proof of concept, in this paper we propose the use of beacons to dynamically download and execute in the smartphone scripts for updating the Virtual Profile with context information, and trigger actions both in the smartphone and the devices. This way, we take a first step to an effective Programmable World, in which everyday objects connected to the network can be programmatically adapted to their users.
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UCAmI (2) - Using Beacons for Creating Comprehensive Virtual Profiles
Ubiquitous Computing and Ambient Intelligence, 2016Co-Authors: Angela Barriga Rodriguez, Alejandro Rodriguez Tena, Jose Garcia-alonso, Javier Berrocal, Ricardo Flores Rosco, Juan Manuel MurilloAbstract:The number of Internet of Things systems in which the general population is involved keeps increasing. At the same time, the configuration and adaptation of these systems to their users’ preferences are still mostly manual. To achieve a better personalization of these systems comprehensive Virtual Profiles of their users, including as much information as possible, is needed. One of the most relevant information of a user Virtual Profile is his location. With the rise of the bluetooth low energy protocol and the appearance of the beacon technology, indoor positioning of smartphone owners can be added to these Virtual Profiles. However, the lack of a beacon standard and the low level information provided by these devices is hindering its adoption. To solve this, this paper presents a Beacon Management System that abstracts applications developers from the low level details of the different beacons protocols and allows the management of unregistered beacons. The proposed system has been integrated into the People as a Service computation model and in the commercial platform nimBees to improve the creation of Virtual Profiles in IoT applications.
Jean Luc Legras - One of the best experts on this subject based on the ideXlab platform.
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Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation.
FEMS microbiology letters, 2003Co-Authors: Jean Luc Legras, Francis KarstAbstract:A new primer pair (delta12–delta21) for polymerase chain reaction-based yeast typing was designed using the yeast genome sequence. The specificity of this primer pair was checked by the comparison of the electrophoresis pattern with a Virtual Profile calculated from Blast data. The analysis of 53 commercial and laboratory Saccharomyces cerevisiae yeast strains showed a clear improvement of interdelta analysis using the newly designed primers.
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Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation
FEMS Microbiology Letters, 2003Co-Authors: Jean Luc Legras, Francis KarstAbstract:A new primer pair (delta12-delta21) for polymerase chain reaction-based yeast typing was designed using the yeast genome sequence. The specificity of this primer pair was checked by the comparison of the electrophoresis pattern with a Virtual Profile calculated from Blast data. The analysis of 53 commercial and laboratory Saccharomyces cerevisiae yeast strains showed a clear improvement of interdelta analysis using the newly designed primers. © 2003 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
Alejandro Pérez-vereda - One of the best experts on this subject based on the ideXlab platform.
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Modelling digital avatars: A tuple space approach
Science of Computer Programming, 2021Co-Authors: Alejandro Pérez-vereda, Carlos Canal, Ernesto PimentelAbstract:Abstract The development of the Internet of Things (IoT) came with the manufacturing of a huge amount of smart things equipped with sensors for making them aware of their environment, and with network connection for allowing remote interaction with them. However, most smart things still lack enough autonomy and context-awareness, hindering them from being people-friendly and actually useful for their users' everyday tasks. IoT devices should take advantage of their sensors and smartness to react automatically to the needs of their users and to provide seamless interactions with them. Within this field, the authors work on the design of Digital Avatars, a mobile computing framework for dynamically programming interactions among smart devices. The framework is based on the Virtual Profile of the user, which is inferred, stored, and shared by their smartphone. The Profile provides a personalized context for running scripts which interact with IoT devices. This way, smartphones become a digital avatar of the user, capable of acting as a personal and seamless interface with their IoT environment. In this work, we present a formalization of Digital Avatars by means of a Linda-based approach with multiple shared tuple spaces. By means of a case study, we show how properties of the systems can be proved, and we briefly describe an implementation of both the Digital Avatars framework and the case study.
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Digital Avatars: Promoting Independent Living for Older Adults
Wireless Communications and Mobile Computing, 2020Co-Authors: Manuel F. Bertoa, Alejandro Pérez-vereda, Nathalie Moreno, David Bandera, José M. Álvarez-palomo, Carlos CanalAbstract:Population ageing, together with the desire to maintain an autonomous lifestyle, poses today’s societies with a challenge that technological advances can help considerably to cope with. The widespread use of smartphones and their increasing computing power and storage capacity make them the ideal tool to achieve this goal. In this paper, we present Digital Avatars, a software framework adapted to the needs of older adults who wish to preserve their lifestyle, but who require assistance through technology. Building on previous work on the People as a Service model, Digital Avatars takes advantage of a smartphone’s capabilities and services to collect information about the people who own them. To do this, it applies Complex Event Processing techniques extended with uncertainty to infer the habits, preferences, and needs of the device owner to build with them an enhanced Virtual Profile of the user. These Virtual Profiles are the mechanism for monitoring the quality of life of older adults: analyzing their patterns of activity, reminding them of medication schedules, or detecting risky situations that generate alerts to relatives, caregivers, or the community health system.
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Digital Avatars for Older People’s Care
Gerontechnology, 2020Co-Authors: Manuel F. Bertoa, Alejandro Pérez-vereda, Nathalie Moreno, David Bandera, José M. Álvarez-palomo, Carlos CanalAbstract:The continuous increase in life expectancy poses a challenge for health systems in modern societies, especially with respect to older people living in rural low-populated areas, both in terms of isolation and difficulty to access and communicate with health services. In this paper, we address these issues by applying the Digital Avatars framework to Gerontechnology. Building on our previous work on mobile and social computing, in particular the People as a Service model, Digital Avatars make intensive use of the capabilities of current smartphones to collect information about their owners, and applies techniques of Complex Event Processing extended with uncertainty for inferring the habits and preferences of the user of the phone and building with them a Virtual Profile. These Virtual Profiles allow to monitor the well-being and quality of life of older adults, reminding pharmacological treatments and home health testings, and raising alerts when an anomalous situation is detected.
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Complex event processing for health monitoring
Gerontechnology, 2019Co-Authors: Alejandro Pérez-vereda, Daniel Flores-martín, Carlos Canal, Juan Manuel MurilloAbstract:The increase of the life expectancy has become a challenge in regions with a low population density. This fact is caused by the existence of small towns all far from one another and with the peculiarity of many elders with special health care living there. This situation increases in a high percentage the health costs of the region having to attend daily all these elders who need a close monitoring. We live in a IoT era with a huge quantity of new connected devices with lots of sensors. Taking advantage of this, it is possible to monitor these elders from the distance without having to cover the complete area of the region every day. This way, our approach is using a mobile centric architecture that permits the elders having a device which infers a health Virtual Profile of them with data from its sensors and from other smart devices like bands with pulsometers. At this point we propose using Complex Event Processing techniques to combine the data coming from all sources and analyze it to extract meaningful information for the doctors and caregivers and even detect important events like falls in real time.
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ICWE Workshops - Towards Dynamically Programmable Devices Using Beacons
Current Trends in Web Engineering, 2018Co-Authors: Alejandro Pérez-vereda, Daniel Flores-martín, Carlos Canal, Juan Manuel MurilloAbstract:With the grow of the Web of Things, lots of devices are being connected to the network. Many of these devices require human interaction when using them. In a desirable scenario, technology should allow to automatically adapt the behavior of these devices to the needs and expectations of their users. To this extent, in previous work we proposed the Internet of People model to automatically develop Virtual Profiles of people stored in their smartphones. However, in order to build a complete Virtual Profile with information about the user’s environment and context, we need also the contribution of these surrounding devices. Our goal is to develop a framework in which users and smart devices are integrated seamlessly and in real time, allowing programmatic adaptation and update of both Virtual user Profiles and surrounding devices. As a proof of concept, in this paper we propose the use of beacons to dynamically download and execute in the smartphone scripts for updating the Virtual Profile with context information, and trigger actions both in the smartphone and the devices. This way, we take a first step to an effective Programmable World, in which everyday objects connected to the network can be programmatically adapted to their users.
