Research output per year
Research output per year
Personal profile
Personal information
Afshin Ashofteh is invited lecturer at the NOVA Information Management School. He has a master's degree in Mathematical Statistics (2001), an MBA in Finance (2008), a post-graduation degree in Statistical Systems (2014) followed by a PhD in Information Management specializing in Statistics and Econometrics at NOVA IMS. He is certified by TÜV NORD for Risk Management and Internal Audit of Information Security Management System (ISMS). Before joining NOVA IMS, his professional path includes 5 years' experience of teaching as a full time university lecturer and 12 years' experience in applying Econometrics and Statistics to problems in risk, actuaries and official statistics as a data analyst. His scientific interests have focused on Data Science in Finance and implementation of predictive models in the area of Banking and Actuaries. Recently, his presentation of a paper about credit scoring by using non-traditional datasets, jointly written by Jorge Bravo and affiliated with NOVA IMS, was the winner of the first prize of the International Conference of Risk Analysis in Austria.
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A conservative approach for online credit scoring
Ashofteh, A. & Bravo, J. M., 15 Aug 2021, In: Expert Systems with Applications. 176, p. 1-16 16 p., 114835.Research output: Contribution to journal › Article › peer-review
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A Novel Layered Learning Approach for Forecasting Respiratory Disease Excess Mortality during the COVID-19 pandemic
Ashofteh, A. & Bravo, J. M., 13 Jul 2021, (Accepted/In press) CAPSI 2021. 21ª Conferência da Associação Portuguesa de Sistemas de Informação, "Sociedade 5.0: Os desafios e as Oportunidades para os Sistemas de Informação".". [21th Portuguese Association of Information Systems Conference]. Associação Portuguesa de Sistemas de InformaçãoResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data Science Training for Official Statistics: a New Scientific Paradigm of Information and Knowledge Development in National Statistical Systems
Ashofteh, A. & Bravo, J. M., 31 May 2021, (Accepted/In press) In: Statistical Journal of the IAOS. p. 1-19 19 p.Research output: Contribution to journal › Article › peer-review
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Life Table Forecasting in COVID-19 Times: An Ensemble Learning Approach
Ashofteh, A. & Bravo, J. M., 23 Jun 2021, 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, p. 1-6Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A study on the quality of novel coronavirus (COVID-19) official datasets
Ashofteh, A. & Bravo, J. M., 1 Jun 2020, In: Statistical Journal of the IAOS. 36, 2, p. 291-301 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)30 Downloads (Pure)
Prizes
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First Prize for the presentation of "A non-parametric-based computationally efficient approach for credit scoring using non-traditional data", at the 8th International Conference on Risk Analysis and Design of Experiments
Ashofteh, Afshin (Recipient), 26 Apr 2019
Prize: Prize (including medals and awards)
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ISLP Poster Competition 2020-2021. Part of The International Statistical Literacy Project (ISLP), a project initiated by the International Association for Statistical Education➶ (IASE), which is the education section of the International Statistical Institute➶ (ISI). (Event)
Ana Serradó Bayés (Member), Delia North (Member), James R. Nicholson (Member), Afshin Ashofteh (Member), Anushka Karkelakova (Member) & Matt Parry (Member)
Jul 2021Activity: Membership › Membership of board
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Life Table Forecasting in COVID-19 Times: An Ensemble Learning Approach
Afshin Ashofteh (Speaker) & Jorge Miguel Ventura Bravo (Speaker)
23 Mar 2021 → 26 Mar 2021Activity: Talk or presentation › Oral presentation
Press / Media
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Covid-19: Estudo revela imprecisões em bases de dados sobre novo coronavírus
Afshin Ashofteh & Jorge Miguel Ventura Bravo
17/08/20
1 Media contribution
Press/Media: Research
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ÓBITOS NEGATIVOS OU DATAS FALSAS. DETETADOS ERROS NAS MAIORES BASES DE DADOS DA PANDEMIA
Afshin Ashofteh & Jorge Miguel Ventura Bravo
17/08/20
1 Media contribution
Press/Media: Research