Filipe Roberto de Jesus Ramos
@iscte-iul.pt
Invited Assistant Professor, Department of Quantitative Methods for Management and Economics (IBS)
ISCTE-LISBON UNIVERSITY INSTITUTE
Filipe Ramos licenciou-se em Matemática (Ensino) pela FCUL, conclui os mestrados em Matemática Financeira, pelo ISCTE-Business School/FCUL, e em Ensino da Matemática, pela FCT-UNL. Prosseguiu estudos na área da Gestão, com especialização em Métodos Quantitativos, no ISCTE-Business School, tendo já obtido o diploma de estudos avançados nesta área. Além da docência de Matemática nos ensinos Básico e Secundário, de Matemática Aplicada em cursos da Via Profissionalizante e de várias unidades curriculares, da área científica da Matemática, em instituições de Ensino Superior, (como FCUL, ISEG e FCT-UNL), foi ainda colaborador/consultor técnico pedagógico no IAVE (antigo GAVE) e coordenador de cursos profissionais e respetivas equipas pedagógicas. Atualmente, é Professor Auxiliar Convidado no ISCTE-Business School e colaborador na Universidade Europeia, estando a prosseguir a sua investigação na área da Modelação Matemática, nomeadamente “Time Series Analysis and Forecasting”.
EDUCATION
Diploma de Estudos Avançados do Doutoramento em Gestão - Especialização em Métodos Quantitativos
Mestrado em Ensino de Matemática no 3º ciclo do Ensino Básico e no Secundário
Mestrado em Matemática Financeira
Licenciatura (pré-Bolonha) em Matemática (Ensino)
RESEARCH INTERESTS
Matemática
Matemática (Ensino)
Modelos Econométricos
Séries Temporais
Métodos de Previsão
Análise de Dados
Ciência de Dados
159
Scholar Citations
7
Scholar h-index
4
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
- From Reality to Virtuality: Digital Transformation on Luxury Brand Engagement and Purchase Intention in the Metaverse.
I Mudava, LM Martinez, FR Ramos, R Abreu
International Journal of Marketing, Communication and New Media 2025 - Enhancing last-mile delivery: a hybrid approach with machine learning techniques that captures drivers' knowledge
MA Carvalhosa, MT Pereira, MG Pereira, E e Oliveira, FR Ramos
International Journal of Logistics Research and Applications, 1-27 2024 - Exploring research trends and patterns in leadership research: a machine learning, co-word, and network analysis
MF Ribeiro, CG da Costa, FR Ramos, JMTS Cruz
Management Review Quarterly, 1-39 2024 - Brzozowski’s Algorithm for Automata Minimization Verified in Coq
F Ramos, KG Roggia, RCG Silva
Brazilian Symposium on Formal Methods, 107-119 2024 - The Current State of Leadership Research: Identifying Key Trends through Natural Language Processing and Machine Learning Analysis
MF Ribeiro, CG da Costa, FR Ramos
European Conference on Management, Leadership & Governance, 734-737 2024 - 26 Assessing the Effectiveness of Purpose-Driven Leadership: A Systematic Review of its Mechanisms and Impacts in the Organizational Context
M Ribeiro, C Costa, F Ramos
Navigating the future of management, 73 2024 - Exploring Purpose-Driven Leadership: Theoretical Foundations, Mechanisms, and Impacts in Organizational Context
MF Ribeiro, CG Costa, FR Ramos
Administrative Sciences 14 (7), 148 2024 - Decision Maker Contact Prediction Model in a Business Context: A Machine Learning Approach
MP Dias, FR Ramos, JJF Gomes, SC Almeida, RN Dias
International Association for the Management of Technology Conference, 185-194 2024 - Mobile Switching Propensity Model: A Machine Learning Approach
RN Dias, JJF Gomes, FR Ramos, SC Almeida, MP Dias
International Conference Innovation in Engineering, 313-324 2024 - Trends and Forecasts for Sales and Employment: An Overview of the e-Commerce Sector
FR Ramos, LM Martinez, LF Martinez
Digital Marketing & eCommerce Conference, 31-40 2024 - Unravelling the impact of the covid-19 pandemic on judo: a comparative analysis of the 2018-ec and 2020-ec championships
JM Gonalves, JJF Gomes, B Miarka, FR Ramos
Retos: nuevas tendencias en educacin fsica, deporte y recreacin, 891-900 2024 - Study of the Time Windows Range Impact on Vehicle Routing Problem
FR Ramos
Driving Quality Management and Sustainability in VUCA Environments: 4th 2024 - Forecasting volatility by using wavelet transform, ARIMA and GARCH models
L Rubio, A Palacio Pinedo, A Meja Castao, F Ramos
Eurasian Economic Review 13 (3), 803-830 2023 - A generalized log gamma approach: Theoretical contributions and an application to companies’ life expectancy
JH Dias Gonalves, JJ Ferreira Gomes, L Rubio, FR Ramos
Mathematics 11 (23), 4792 2023 - Suicide mortality in Portugal after 4 mediatized suicides from 1996 to 2020
E Ribeiro, A Granado, J Gomes, F Ramos
Heliyon 9 (10) 2023 - Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis
F Ramos, G Silva, E Luz, P Silva
Brazilian Conference on Intelligent Systems, 92-106 2023 - Would you try it again? Dual effects of customer mindfulness on service recovery
LM Martinez, N Pacheco, FR Ramos, M Bicho
Journal of Retailing and Consumer Services 74, 103438 2023 - An overstimulated consumer in a highly visual world: the moderating effect of the highly sensitive person trait on the attitude towards the ad
AC Amaro, LM Martinez, FR Ramos, K Menezes, S Menezes
Electronic Commerce Research 23 (3), 1429-1458 2023 - The memory concept behind deep neural network models: An application in time series forecasting in the e-Commerce sector
FR Ramos, MT Pereira, M Oliveira, L Rubio
Decision Making: Applications in Management and Engineering 6 (2), 668-690 2023 - Logistics flow improvement in a leather goods industry
MT Pereira, J Ribeiro, M Oliveira, FR Ramos, FA Ferreira
International Conference on Flexible Automation and Intelligent 2023
MOST CITED SCHOLAR PUBLICATIONS
- Accessing the determinants of behavioral intention to adopt fintech services among the millennial generation
FAB Ramos
PQDT-Global 2016
Citations: 27 - Um complexo de vegetacao entre dunas e pantanos proximo a Tramandai-Rio Grande do Sul, Brasil.
J Pfadenhauer, RF Ramos
Iheringia. Srie Botnica 1979
Citations: 24 - Forecasting volatility by using wavelet transform, ARIMA and GARCH models
L Rubio, A Palacio Pinedo, A Meja Castao, F Ramos
Eurasian Economic Review 13 (3), 803-830 2023
Citations: 12 - The influence of TikTok videos on German gen Z consumers’ attitude and purchase intention towards sustainable brands
S Pltz, LM Martinez, LF Martinez, FR Ramos
Digital Marketing & eCommerce Conference, 270-289 2023
Citations: 11 - Forecasting bitcoin volatility: exploring the potential of deep learning
TE Pratas, FR Ramos, L Rubio
Eurasian Economic Review 13 (2), 285-305 2023
Citations: 8 - Data Science na modelao e previso de sries econmico-financeiras: das metodologias clssicas ao Deep Learning
FR Ramos
ISCTE-Business School 2021
Citations: 8 - Univariate time series forecast
DR Lopes, FR Ramos
2020
Citations: 7 - Forecasting financial time series using deep learning techniques
A Costa, FR Ramos, V Mendes
2019
Citations: 7 - Forecasting financial time series: a comparative study
FR Ramos, A Costa, D Mendes, V Mendes
JOCLAD 2018, XXIV Jornadas de Classificao e Anlise de Dados 2018
Citations: 7 - The memory concept behind deep neural network models: An application in time series forecasting in the e-Commerce sector
FR Ramos, MT Pereira, M Oliveira, L Rubio
Decision Making: Applications in Management and Engineering 6 (2), 668-690 2023
Citations: 6 - Would you try it again? Dual effects of customer mindfulness on service recovery
LM Martinez, N Pacheco, FR Ramos, M Bicho
Journal of Retailing and Consumer Services 74, 103438 2023
Citations: 5 - Deep neural networks: A hybrid approach using box&jenkins methodology
FR Ramos, DR Lopes, TE Pratas
International Conference Innovation in Engineering, 51-62 2022
Citations: 5 - Cointegrao, Modelos VAR e BVAR: Estudo comparativo entre a abordagem Clssica e Bayesiana no contexto dos Mercados Financeiros Europeus
FRJ Ramos
2012
Citations: 5 - An overstimulated consumer in a highly visual world: the moderating effect of the highly sensitive person trait on the attitude towards the ad
AC Amaro, LM Martinez, FR Ramos, K Menezes, S Menezes
Electronic Commerce Research 23 (3), 1429-1458 2023
Citations: 4 - Forecasting models for time-series: a comparative study between classical methodologies and deep learning
DR Lopes, FR Ramos, A Costa, D Mendes
SPE 2021–XXV Congresso da Sociedade Portuguesa de Estatstica. vora-Portugal 2021
Citations: 4 - Normalized Emission Measurement-Density Curves of X-Ray Loop
RR Rosa, HS Sawant, RA da Costa Jr, FR Ramos, JR Cecatto, ...
High Energy Solar Physics Workshop-Anticipating Hess! 206, 293 2000
Citations: 4 - Explorando o poder da memria das redes neuronais LSTM na modelaao e previsao do PSI 20
FR Ramos, AR Costa, DA Mendes, DR Lopes
2021
Citations: 3 - Exploring Purpose-Driven Leadership: Theoretical Foundations, Mechanisms, and Impacts in Organizational Context
MF Ribeiro, CG Costa, FR Ramos
Administrative Sciences 14 (7), 148 2024
Citations: 2 - Restyling the higher education landscape: regional (A) symmetries across Portugal
D Dias, F Ramos, A Fidalgo, F Gonalves
INTED2019 Proceedings, 8965-8972 2019
Citations: 2 - Da Arte Matemtica da Matemtica Arte: uma experincia no ensino Portugus
FR Ramos, RCM Kopke, AM Domingos
XII International Conference on Graphics Engineering for Arts and Design 2017
Citations: 2
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
• Lopes, D., & Ramos, F. (2020). Univariate Time Series Forecast. Retrieved from
• Lopes, D., & Ramos, F. (2019). Time Series Cross-Validation. Retrieved from