Jorge Bernardino | Instituto Politécnico de Coimbra (original) (raw)
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Papers by Jorge Bernardino
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
The growth of online shopping has allowed e-commerce to become a usual concept. However, companie... more The growth of online shopping has allowed e-commerce to become a usual concept. However, companies still have little knowledge about their customers and the most appropriate and effective processes to create a perfect fit between costumers' needs and companies' interests. To solve this problem, it is important to join e-commerce with Business Intelligence (BI). This paper provides a survey of the most popular business intelligence and e-commerce open source platforms and proposes an architecture to combine e-commerce with business intelligence. We study Pentaho and SpagoBI business intelligence platforms and Magento and OpenCart e-commerce platforms. An integration model of e-commerce and BI platforms is also proposed using an API and communication mechanisms.
International journal of big data, Sep 1, 2015
Many Information Extraction (IE)applications are available, in several domains, to handle the inc... more Many Information Extraction (IE)applications are available, in several domains, to handle the increasingly volume of data. This paper reviews applications and methods used for IE and performs an analysis with the objective of understanding which applications have already been used for clinical trials and applications that although they were not and would have an easy adaptation to be used as well.
Applied Sciences
Transformers are models that implement a mechanism of self-attention, individually weighting the ... more Transformers are models that implement a mechanism of self-attention, individually weighting the importance of each part of the input data. Their use in image classification tasks is still somewhat limited since researchers have so far chosen Convolutional Neural Networks for image classification and transformers were more targeted to Natural Language Processing (NLP) tasks. Therefore, this paper presents a literature review that shows the differences between Vision Transformers (ViT) and Convolutional Neural Networks. The state of the art that used the two architectures for image classification was reviewed and an attempt was made to understand what factors may influence the performance of the two deep learning architectures based on the datasets used, image size, number of target classes (for the classification problems), hardware, and evaluated architectures and top results. The objective of this work is to identify which of the architectures is the best for image classification ...
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
Mobile development is increasingly integrated into software development companies. Customers are ... more Mobile development is increasingly integrated into software development companies. Customers are currently expecting applications with good performance in less time and at lower cost. The demand for a hybrid solution which allows the development of applications for both platforms with the same code is no longer new. React Native is a recent framework that has emerged to bridge the gaps presented by previous solutions, combining JavaScript development, which is now considered the best solution for frontend development. In this article, a comparative analysis of the development time of the main functionalities of an audio-guide application for Java (Android), Swift (iOS) and React Native (Android and iOS) is made. This work shows that Swift is the solution with the lowest development time, while React Native and Java have very similar overall development times, however with the particularity that React Native supports both the two main mobile operating systems.
Sensors
The volume of data is growing exponentially and becoming more valuable to organizations that coll... more The volume of data is growing exponentially and becoming more valuable to organizations that collect it, from e-commerce data, shipping, audio and video logs, text messages, internet search queries, stock market activity, financial transactions, the Internet of Things, and various other sources. The major challenges are related with the way to extract insights from such a rich data environment and whether Deep Learning can be successful with Big Data. To get some insight on these topics, social network data are employed as a case study on how sentiments can affect decisions in stock market environments. In this paper, we propose a generalized Deep Learning-based classification framework for Stock Market Sentiment Analysis. This work comprises the study, the development, and implementation of an automatic classification system based on Deep Learning and the validation of its adequacy and efficiency in any scenario, particularly Stock Market Sentiment Analysis. Distinct datasets and s...
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Journal of King Saud University - Computer and Information Sciences, 2021
Performance Evaluation and Benchmarking for the Era of Cloud(s), 2020
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017
2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018
The mobile applications development is composed by three groups: natives, hybrids and web. In thi... more The mobile applications development is composed by three groups: natives, hybrids and web. In this paper a comparison between the native and hybrid mobile applications build on JavaScript (Reactive Native, NativeScript and Ionic) is done. The analysis is done using the 7 more relevant principles to the mobile applications development. This paper shows that React Native exhibits the best results in all the analyzed principles and still having benefits in the hybrid development in relation to native. With the emergence of frameworks for mobile development, some of them with a little more than a year of existence, there is the difficulty to perceive which are the most advantageous for a given business objective, this article shows the best options among the frameworks used, always comparing with the native development.
With the increasing expansion of the open source tools in our daily life it is crucial to realize... more With the increasing expansion of the open source tools in our daily life it is crucial to realize which are the best tools of the immensity that exist. In order to compare open source management tools, it is recommended to use a methodology such as QSOS that help to evaluate and choose which tool best suits our objectives. This paper describes some of the most commonly used open source project management tools such as GanttProject, OpenProject, and ProjectLibre and then compares them using QSOS methodology.
Nowadays organizations look for Big Data as an opportunity to manage and explore their data with ... more Nowadays organizations look for Big Data as an opportunity to manage and explore their data with the objective to support decisions within its different operational areas. Therefore, it is necessary to analyse several concepts about Big Data Analytics, including definitions, features, advantages and disadvantages. By investigating today's big data platforms, current industrial practices and related trends in the research world, it is possible to understand the impact of Big Data Analytics on smaller organizations. This paper analyses the following five open source platforms for Big Data Analytics: Apache Hadoop, Cloudera, Spark, Hortonworks, and HPCC.
Emerging Perspectives in Big Data Warehousing, 2019
A big data warehouse enables the analysis of large amounts of information that typically comes fr... more A big data warehouse enables the analysis of large amounts of information that typically comes from the organization's transactional systems (OLTP). However, today's data warehouse systems do not have the capacity to handle the massive amount of data that is currently produced. Business intelligence (BI) is a collection of decision support technologies that enable executives, managers, and analysts to make better and faster decisions. Organizations must make good use of business intelligence platforms to quickly acquire desirable information from the huge volume of data to reduce the time and increase the efficiency of decision-making processes. In this chapter, the authors present a comparative analysis of commercial and open source BI tools capabilities, in order to aid organizations in the selection process of the most suitable BI platform. They also evaluated and compared six major open source BI platforms: Actuate, Jaspersoft, Jedox/Palo, Pentaho, SpagoBI, and Vanilla; ...
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
The growth of online shopping has allowed e-commerce to become a usual concept. However, companie... more The growth of online shopping has allowed e-commerce to become a usual concept. However, companies still have little knowledge about their customers and the most appropriate and effective processes to create a perfect fit between costumers' needs and companies' interests. To solve this problem, it is important to join e-commerce with Business Intelligence (BI). This paper provides a survey of the most popular business intelligence and e-commerce open source platforms and proposes an architecture to combine e-commerce with business intelligence. We study Pentaho and SpagoBI business intelligence platforms and Magento and OpenCart e-commerce platforms. An integration model of e-commerce and BI platforms is also proposed using an API and communication mechanisms.
International journal of big data, Sep 1, 2015
Many Information Extraction (IE)applications are available, in several domains, to handle the inc... more Many Information Extraction (IE)applications are available, in several domains, to handle the increasingly volume of data. This paper reviews applications and methods used for IE and performs an analysis with the objective of understanding which applications have already been used for clinical trials and applications that although they were not and would have an easy adaptation to be used as well.
Applied Sciences
Transformers are models that implement a mechanism of self-attention, individually weighting the ... more Transformers are models that implement a mechanism of self-attention, individually weighting the importance of each part of the input data. Their use in image classification tasks is still somewhat limited since researchers have so far chosen Convolutional Neural Networks for image classification and transformers were more targeted to Natural Language Processing (NLP) tasks. Therefore, this paper presents a literature review that shows the differences between Vision Transformers (ViT) and Convolutional Neural Networks. The state of the art that used the two architectures for image classification was reviewed and an attempt was made to understand what factors may influence the performance of the two deep learning architectures based on the datasets used, image size, number of target classes (for the classification problems), hardware, and evaluated architectures and top results. The objective of this work is to identify which of the architectures is the best for image classification ...
2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
Mobile development is increasingly integrated into software development companies. Customers are ... more Mobile development is increasingly integrated into software development companies. Customers are currently expecting applications with good performance in less time and at lower cost. The demand for a hybrid solution which allows the development of applications for both platforms with the same code is no longer new. React Native is a recent framework that has emerged to bridge the gaps presented by previous solutions, combining JavaScript development, which is now considered the best solution for frontend development. In this article, a comparative analysis of the development time of the main functionalities of an audio-guide application for Java (Android), Swift (iOS) and React Native (Android and iOS) is made. This work shows that Swift is the solution with the lowest development time, while React Native and Java have very similar overall development times, however with the particularity that React Native supports both the two main mobile operating systems.
Sensors
The volume of data is growing exponentially and becoming more valuable to organizations that coll... more The volume of data is growing exponentially and becoming more valuable to organizations that collect it, from e-commerce data, shipping, audio and video logs, text messages, internet search queries, stock market activity, financial transactions, the Internet of Things, and various other sources. The major challenges are related with the way to extract insights from such a rich data environment and whether Deep Learning can be successful with Big Data. To get some insight on these topics, social network data are employed as a case study on how sentiments can affect decisions in stock market environments. In this paper, we propose a generalized Deep Learning-based classification framework for Stock Market Sentiment Analysis. This work comprises the study, the development, and implementation of an automatic classification system based on Deep Learning and the validation of its adequacy and efficiency in any scenario, particularly Stock Market Sentiment Analysis. Distinct datasets and s...
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Journal of King Saud University - Computer and Information Sciences, 2021
Performance Evaluation and Benchmarking for the Era of Cloud(s), 2020
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017
2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 2018
The mobile applications development is composed by three groups: natives, hybrids and web. In thi... more The mobile applications development is composed by three groups: natives, hybrids and web. In this paper a comparison between the native and hybrid mobile applications build on JavaScript (Reactive Native, NativeScript and Ionic) is done. The analysis is done using the 7 more relevant principles to the mobile applications development. This paper shows that React Native exhibits the best results in all the analyzed principles and still having benefits in the hybrid development in relation to native. With the emergence of frameworks for mobile development, some of them with a little more than a year of existence, there is the difficulty to perceive which are the most advantageous for a given business objective, this article shows the best options among the frameworks used, always comparing with the native development.
With the increasing expansion of the open source tools in our daily life it is crucial to realize... more With the increasing expansion of the open source tools in our daily life it is crucial to realize which are the best tools of the immensity that exist. In order to compare open source management tools, it is recommended to use a methodology such as QSOS that help to evaluate and choose which tool best suits our objectives. This paper describes some of the most commonly used open source project management tools such as GanttProject, OpenProject, and ProjectLibre and then compares them using QSOS methodology.
Nowadays organizations look for Big Data as an opportunity to manage and explore their data with ... more Nowadays organizations look for Big Data as an opportunity to manage and explore their data with the objective to support decisions within its different operational areas. Therefore, it is necessary to analyse several concepts about Big Data Analytics, including definitions, features, advantages and disadvantages. By investigating today's big data platforms, current industrial practices and related trends in the research world, it is possible to understand the impact of Big Data Analytics on smaller organizations. This paper analyses the following five open source platforms for Big Data Analytics: Apache Hadoop, Cloudera, Spark, Hortonworks, and HPCC.
Emerging Perspectives in Big Data Warehousing, 2019
A big data warehouse enables the analysis of large amounts of information that typically comes fr... more A big data warehouse enables the analysis of large amounts of information that typically comes from the organization's transactional systems (OLTP). However, today's data warehouse systems do not have the capacity to handle the massive amount of data that is currently produced. Business intelligence (BI) is a collection of decision support technologies that enable executives, managers, and analysts to make better and faster decisions. Organizations must make good use of business intelligence platforms to quickly acquire desirable information from the huge volume of data to reduce the time and increase the efficiency of decision-making processes. In this chapter, the authors present a comparative analysis of commercial and open source BI tools capabilities, in order to aid organizations in the selection process of the most suitable BI platform. They also evaluated and compared six major open source BI platforms: Actuate, Jaspersoft, Jedox/Palo, Pentaho, SpagoBI, and Vanilla; ...