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Article
Open AccessExposing and explaining fake news on-the-fly
Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter cr...
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Chapter and Conference Paper
Framework for Real-Time Predictive Maintenance Supported by Big Data Technologies
Industry 4.0 boosted the generation of large volumes of sensor data in manufacturing production lines. When adequately mined, this information can anticipate failures and launch maintenance actions increasing ...
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Chapter and Conference Paper
Explainable Classification of Wiki Streams
Web 2.0 platforms, like wikis and social networks, rely on crowdsourced data and, as such, are prone to data manipulation by ill-intended contributors. This research proposes the transparent identification of ...
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Chapter and Conference Paper
Emotional Evaluation of Open-Ended Responses with Transformer Models
This work applies Natural Language Processing (NLP) techniques, specifically transformer models, for the emotional evaluation of open-ended responses. Today’s powerful advances in transformer architecture, suc...
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Chapter and Conference Paper
Balancing Plug-In for Stream-Based Classification
The latest technological advances drive the emergence of countless real-time data streams fed by users, sensors, and devices. These data sources can be mined with the help of predictive and classification tech...
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Article
Open AccessBlockchain for Data Originality in Pharma Manufacturing
This paper analyses the feasibility of tracking data originality for pharmaceutical manufacturing in a tamper-proof manner using a geographically distributed system. The main research question is whether it is...
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Chapter and Conference Paper
Decentralisation of FinTech Business Models
Digital transformation could change our daily routines, from currency to the purchases. Specifically, financial sector aims to efficiently supply distinct services using an infrastructure by relying on a centr...
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Chapter and Conference Paper
Explanation Plug-In for Stream-Based Collaborative Filtering
Collaborative filtering is a widely used recommendation technique, which often relies on rating information shared by users, i.e., crowdsourced data. These filters rely on predictive algorithms, such as, memory o...
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Chapter and Conference Paper
Personalised Combination of Multi-Source Data for User Profiling
Human interaction with intelligent systems, services, and devices generates large volumes of user-related data. This multi-source information can be used to build richer user profiles and improve personalizati...
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Chapter and Conference Paper
Crowdsourced Data Stream Mining for Tourism Recommendation
Crowdsourced data streams are continuous flows of data generated at high rate by users, also known as the crowd. These data streams are popular and extremely valuable in several domains. This is the case of to...
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Article
Performance Evaluation of Private Ethereum Networks
This paper provides a performance evaluation of private blockchain networks based on Ethereum, an open-source blockchain platform. Different sectors with stringent blockchain security, privacy, and auditabilit...
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Chapter and Conference Paper
Trust and Reputation Smart Contracts for Explainable Recommendations
Recommendation systems are usually evaluated through accuracy and classification metrics. However, when these systems are supported by crowdsourced data, such metrics are unable to estimate data authenticity,...
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Chapter and Conference Paper
Assessing Industry 4.0 Readiness of Portuguese Companies
Industry 4.0 (i4.0) has changed the industrial processes. Increasingly, companies have to adapt their processes to follow the technology development which has caused a digital transformation. However, mainly ...
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Chapter and Conference Paper
Incremental Hotel Recommendation with Inter-guest Trust and Similarity Post-filtering
Crowdsourcing has become an essential source of information for tourists and tourism industry. Every day, large volumes of data are exchanged among stakeholders in the form of searches, posts, shares, reviews ...
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Article
Open AccessImproving the diagnosis of cobalamin and related defects by genomic analysis, plus functional and structural assessment of novel variants
Cellular cobalamin defects are a locus and allelic heterogeneous disorder. The gold standard for coming to genetic diagnoses of cobalamin defects has for some time been gene-by-gene Sanger sequencing of indivi...
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Chapter and Conference Paper
Trust and Reputation Modelling for Tourism Recommendations Supported by Crowdsourcing
Tourism crowdsourcing platforms have a profound influence on the tourist behaviour particularly in terms of travel planning. Not only they hold the opinions shared by other tourists concerning tourism resource...
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Chapter and Conference Paper
Semantic Profiling and Destination Recommendation based on Crowd-sourced Tourist Reviews
Nowadays tourists rely on technology for inspiration, research, booking, experiencing and sharing. Not only it provides access to endless sources of information, but has become an unbounded source of tourist-r...
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Article
Open AccessTrust-based Modelling of Multi-criteria Crowdsourced Data
As a recommendation technique based on historical user information, collaborative filtering typically predicts the classification of items using a single criterion for a given user. However, many application d...
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Chapter and Conference Paper
Prediction and Analysis of Hotel Ratings from Crowd-Sourced Data
Crowdsourcing has become an essential source of information for tourists and the tourism industry. Every day, large volumes of data are exchanged among stakeholders in the form of searches, posts, shares, revi...
