Cookies
O website necessita de alguns cookies e outros recursos semelhantes para funcionar. Caso o permita, o INESC TEC irá utilizar cookies para recolher dados sobre as suas visitas, contribuindo, assim, para estatísticas agregadas que permitem melhorar o nosso serviço. Ver mais
Aceitar Rejeitar
  • Menu
Publicações

Publicações por LIAAD

2022

The identification of cancer lesions in mammography images with missing pixels: analysis of morphology

Autores
Santos, JC; Abreu, PH; Santos, MS;

Publicação
2022 IEEE 9TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA)

Abstract
The quality of mammography images is essential for the diagnosis of breast cancer and image imputation has become a popular technique to overcome noise, artifacts, and missing data to aid in the diagnosis of diseases. In this paper, we assess the performance of six imputation methodologies for the reconstruction of missing pixels in different morphologies in mammography images. The images included in this study are collected from four public datasets (CBIS-DDSM, Mini-MIAS, INbreast, and CSAW) and the imputation results are evaluated through the mean absolute error (MAE) and structural similarity index measure (SSIM). This study goes beyond the traditional evaluation of imputation algorithms, analyzing imputation quality, morphology preservation and classification performance. The effects of imputation on the morphology of cancer lesions are of utmost importance since it lays the foundation for physicians to interpret and analyze the imputation results. The results show that DIP is the most promising methodology for higher missing pixel rates, morphology preservation, and classifying malignant and benign images.

2022

Brown-Sequard syndrome in a patient with spondyloarthritis after COVID-19 vaccine: a challenging differential diagnosis

Autores
Costa, R; Soares, C; Vaz, C; Bernardes, M; Tavares, M; Abreu, P;

Publicação
ARP RHEUMATOLOGY

Abstract

2022

The impact of heterogeneous distance functions on missing data imputation and classification performance

Autores
Santos, MS; Abreu, PH; Fernández, A; Luengo, J; Santos, JAM;

Publicação
Eng. Appl. Artif. Intell.

Abstract

2022

Churn in services - A bibliometric review

Autores
Ribeiro, H; Barbosa, B; Moreira, AC; Rodrigues, R;

Publicação
CUADERNOS DE GESTION

Abstract
The purpose of this article is to identify the most impactful research on customer churn and to map the conceptual and intellectual structure of its field of study. Data were collected from the WoS database, comprising 338 articles published between 1995 and 2020. Several bibliometric techniques were applied, including analysis of co-words, co-citation, bibliographic coupling, and co-authorship networks. R software and the Bibliometrix/Biblioshiny package were used to perform the analyses. The results identify the most active and influential authors, articles, and journals on the topic. More specifically, through co-citations and bibliographic coupling, it was possible to map the oldest articles (retrospective analysis) and the current research front (prospective analysis). The retrospective analysis, based on co-citations, revealed that the foundations of this research field are constructs such as quality of service, satisfaction, loyalty, and changing behaviors. The prospective analysis, performed through bibliographic coupling, revealed that current research is embedded in predictive analysis, clusters, data mining, and algorithms. The results provide robust guidance for further investigation in this field.

2022

Entrepreneurial behaviors that shape performance in small family and non-family hotels during times of crisis

Autores
Kusa, R; Suder, M; Barbosa, B; Glinka, B; Duda, J;

Publicação
INTERNATIONAL ENTREPRENEURSHIP AND MANAGEMENT JOURNAL

Abstract
Recent economic and public health crises have posed important challenges to family businesses - particularly those in the hospitality sector. While sustaining a business, performance becomes critical; there is insufficient knowledge on the use of entrepreneurial behaviors in mitigating the impact of a crisis by family businesses. To help fill this gap, this study explores the configurations of entrepreneurial behaviors that lead to improved performance in small firms under crisis market conditions - particularly, risk-taking, innovativeness, proactiveness, flexibility, and digitalization. This study employs fuzzy-set qualitative comparative analysis (fsQCA). The sample consists of 117 one- and two-star Polish hotels that are comprised of both family and non-family businesses. The data was collected in November and December 2021. The results confirm the core role of risk-taking, proactiveness, and flexibility in increasing the performance of these small firms. However, performance outcomes depend on the configurations of the firms; differences between family and non-family businesses stood out. In family hotels, risk-taking is accompanied by flexibility as a core factor, and digitalization does not play an important role in achieving higher performance. Overall, these results contribute to the literature on organizational entrepreneurship (especially entrepreneurial orientation) as well as family business crisis management in the tourism sector. These findings offer implications for managers by indicating combinations of entrepreneurial behaviors that can help foster business performance.

2022

Handbook of Research on Smart Management for Digital Transformation

Autores
Barbosa, B; Filipe, S; Santos, CA;

Publicação
Advances in E-Business Research

Abstract

  • 105
  • 497