Douglas Cirqueira

Douglas Cirqueira
Dublin City University | DCU · School of Computing

Ph.D. Researcher in Data Science at Raiffeisenlandesbank | Dublin City University | Marie Curie Training Network

About

18
Publications
4,307
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
111
Citations
Introduction
Currently, I am a Ph.D. Student and Researcher in Data Science at Raiffeisenlandesbank/Dublin City University, and proudly a fellow of a Marie Skłodowska Curie Training Network, named Digital Retail PERFORM. My academic and professional background includes an award as a full scholarship undergrad student at Illinois Institute of Technology, in Chicago. I have also worked in internships and traineeships in Computational Intelligence in the USA, Germany, and Brazil.

Publications

Publications (18)
Article
Full-text available
Purpose The transition to omnichannel retail is the recognized future of retail, which uses digital technologies (e.g. augmented reality shopping assistants) to enhance the customer shopping experience. However, retailers struggle with the implementation of such technologies in brick-and-mortar stores. Against this background, the present study inv...
Chapter
Experts rely on fraud detection and decision support systems to analyze fraud cases, a growing problem in digital retailing and banking. With the advent of Artificial Intelligence (AI) for decision support, those experts face the black-box problem and lack trust in AI predictions for fraud. Such an issue has been tackled by employing Explainable AI...
Preprint
Full-text available
Fraud detection (FD) studies supported by Explainable AI (XAI) lack expert's requirements and principles to align explanation methods (EM) to support decision-making. It remains the lack of trust of fraud experts towards AI predictions. On the other hand, information systems (IS) and HCI research discuss the systematic assessment of requirements fo...
Conference Paper
Full-text available
Sentiment Analysis techniques enable the automatic extraction of sentiment in social media data, including popular platforms as Twitter. For retailers and marketing analysts, such methods can support the understanding of customers' attitudes towards brands, especially to handle crises that cause behavioural changes in customers , including the COVI...
Conference Paper
Full-text available
Brick-and-mortar retailers need to stay competitive to the convenience provided by online channels. Technologies, such as personalized shopping assistants on smartphones can empower customers in-store towards a similar experience as in an online scenario. For instance, an augmented reality shopping assistance application with explainable recommenda...
Chapter
Explainable Artificial Intelligence (XAI) develops technical explanation methods and enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine learning (ML) models provide certain predictions. However, the trust of those stakeholders into AI models and explanations is still an issue, especially domain experts, w...
Chapter
Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abu...
Preprint
Digital retailers have experienced a high influx of big data comingfrom their consumers’ interactions online, a consequence of the convenience inbuying goods via E-commerce platforms. Such interactions compose complexbehavioral patterns which, when analyzed, can provide businesses with opportunities to understand their consumer needs and improve th...
Conference Paper
Full-text available
The ways of relationship between companies and customers have changed dramatically due to web-users engagement with Online Social Networks, impacting on the way consumers make purchase decisions. As a consequence, this phenomenon brought up a new concept, the Social Customer Relationship Management. In this context, Electronic Word-of-Mouth plays a...
Conference Paper
Full-text available
Online Social Networks are more than a source of large amounts of data, but a potential treasure for companies and institutions that seek information about how they are perceived by their audience. Sentiment Analysis (SA) is a technique that allows the automatic mining of opinions, which can be applied in this context. However, such approach faces...
Conference Paper
Full-text available
Online Social networking (OSN) platforms such as Facebook, daily have a massive number of users and content being created. Users of such services have the power to share opinions and influence others. This creates an interesting scenario, where brands and institutions can have a digital presence to interact directly with their target audience. Univ...
Conference Paper
Daily, a big data of media, thoughts and opinions can be noticed on Online Social Networks (OSN), resulting from their user’s interaction and sharing of information. In Brazil, this is strongly observed, as Brazilians are often active on the Internet. The business and academic communities around the world are aware of these events, due their possib...
Conference Paper
Full-text available
This document is written in the context of the Delay Tolerant Networking Research Group and will be presented for reviewing by that group. This document defines dLife, an opportunistic routing protocol that takes advantage of time-evolving social structures. dLife belongs to the family of social-aware opportunistic routing protocols for intermitten...
Conference Paper
Full-text available
Abstract--- Despite of the importance of access to computers and to the Internet for the development of people and their inclusion in society, there are people that still suffer with digital divide and social exclusion. Delay/Disruption-Tolerant Networking (DTN) can help provide the technical support for the digital/social inclusion of these people...
Data
This document is written in the context of the Delay Tolerant Networking Research Group and will be presented for reviewing by that group. This document defines dLife, an opportunistic routing protocol that takes advantage of time-evolving social structures. dLife belongs to the family of social-aware opportunistic routing protocols for intermitten...

Network

Cited By

Projects

Projects (3)
Project
PERFORM (www.perform-network.eu) is a training network for young researchers in the field of Digital Retail. It is formed by european universities and industry partners. Our goal is to prepare the next generation of Digital Retail Managers and tackle Digital Retail challenges through a combination of training and research. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 765395.
Project
Social Customer Relationship Management (SCRM) is an emerging concept that includes strategies, processes and technologies that bring together social networks on the web and CRM processes. However, transforming the large mass of data available on social networks into value adding opportunities for companies is challenging. Today, a variety of software applications based on web and text mining techniques is used for knowledge discovery in SCRM. These techniques are helpful for identifying relevant social media postings and for extracting basic information (e.g. number of likes, occurrence of key words in postings, identification of simple sentiments), but they are insufficient for identifying more complex patterns which include interconnections between actors, profiles and postings from large and unstructured databases. Computational intelligence (CI) techniques (e.g. artificial neural networks, Bayesian models, fuzzy systems and evolutionary computing) are an alternative option to address these problems. They promise a great potential to improve the capabilities in knowledge discovery and may also enable new usage scenarios in SCRM (e.g. impact simulation, network analysis, topic development). However, research on the extent to which methods can be applied in integrated SCRM systems is scarce. UFPA and IWI plan to address this gap by combining complementary research from their past and current projects in the respective fields of CI (UFPA) and SCRM (IWI). This application is thus for conducting a joint workshop that aims at identifying relevant common research topics and activities for a long-term cooperation including joint research projects, exchange of researchers and creating a laboratory.
Archived project