Publications

Zejnilovic, L., Lavado, S., Martinez, I., Sim, S., & Bell, A. L. (2020). Algorithmic long-term unemployment risk assessment in use: counselors’ perceptions and use and practices. Global Perspectives, 1(1), [12908].

Coelho da Silva, R., Zejnilovic, L. & Marinho, Z. (2019, July). Machine Learning as a Catalyst of a Paradigm Shift in Healthcare: A Case of News Article Listener for Continuous Identification of Patient Innovations. In 2019 17th International Open and User Innovation Conference (OUI).

Han, Q., Ji, M., de Troya, I. M. D. R., Gaur, M., & Zejnilovic, L. (2018, October). A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 481-490). IEEE.

Troya, I. M. R, Chen, R., Moraes, L. O., Bajaj, P., Kupersmith, J., Ghani, R., Brás, N., Zejnilovic, L. "Predicting, explaining, and understanding the risk of long-term unemployment", NeurIPS, Montreal, Canada, 2018.

Qiwei Han, Inigo Martinez de Rituerto, Mengxin Ji, Manas Gaur, Leid Zejnilovic, Matchmaking between patients and doctors towards a trusting relationship in primary care, The Sixth IEEE International Conference on Healthcare Informatics (ICHI 2018), New York, 2018.

Angelo Alves, Qiwei Han, Profit-Driven Telemarketing Campaign in Wireless Industry using Uplift Modeling, Sixteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Madrid, Spain, June 2020.

Qiwei Han, Leid Zejnilovic, Pedro Pita Barros, Matching patients with doctors towards trusting relationship in primary care, Fourteenth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Netherlands, 2018.

Zejnilovic, L., Flament, I., Malik M., Lozano, C., "Visualizing tourist flows in Tuscany", Lisbon Tourism Summit, November, 2017. (http://lisbontourismsummit.com/speakers/leid-zejnilovic/)

Han, Q., Zejnilovic, L., Recommender Systems in Physical Retailing: Practices, Prospects and Policy Perspectives, The 3rd International Conference on Data for Policy, London UK, September 2017.

Alves, A. (2019). Uplift Modelling – Telemarketing Campaigns Cost Optimization for Vodafone. Master’s in Finance (Nova SBE; Adviser: Prof. Qiwei Han). 

Bianchi, A. (2020). Forecasting the automotive market using Autoregressive Integrated Moving Average with Python. International Master's in Finance (Nova SBE; Adviser: Prof. Carlos Santos).

Bandeira, M. (2019). Data-driven decision making in social impact sector in Portugal: state of the art, challenges, and opportunities for improvements. International Master's in Management (Nova SBE; Adviser: Prof. Leid Zejnilovic). 

Coelho da Silva, R. (2019). Machine Learning as a Catalyst of a Paradigm Shift in Healthcare: A Case of News Article Listener for continuous identification of Patient Innovations. International Master’s in Management with Specialization in Digital Business (Nova SBE; Adviser: Prof. Leid Zejnilovic) and Master’s in Information Management with Specialization in Knowledge Management and Business Intelligence (Nova IMS).

Dias, T. (2019). Can Machine Learning algorithms predict Football players’ Market Values? A data-driven approach. (Nova SBE; Adviser: Prof. Carlos Santos). 

Kocks, L. (2019). Range-base price advisor for online used car market using predictive modelling. Master’s in Finance (Nova SBE; Adviser: Prof. Qiwei Han). 

Konzok, I., Riedlberger, K. & Vysna, N. (2019). Improving Trust in Online Voting through the Use of Blockchain Technologies. Master’s in Finance and Master’s in Management (Nova SBE; Adviser: Prof. Andrew Bell). 

Machado, P. (2021). Portuguese Automotive Aftermarket Forecast Through Time-Series Analysis And Modelling. Master’s in Management (Nova SBE; Adviser: Prof. Carlos Santos).

Monteiro, J. (2020). Forecasting the Portuguese Car Fleet and Automotive Aftermarket for the
Future. Master's in Management (Nova SBE; Adviser: Prof. Carlos Santos).

Peito, J. (2019). Incorporating complex domain knowledge into health machine learning applications. Master’s in Finance (Nova SBE; Adviser: Prof. Qiwei Han). 

Pereira, I. (2019). How Much Data Is Enough To Track Tourists? The Tradeoff Between Data Granularity And Storage Costs. International Master’s in Management with Specialization in Digital Business (Nova SBE; Adviser: Prof. Leid Zejnilovic) and Master’s in Information Management with Specialization in Knowledge Management and Business Intelligence (Nova IMS). 

Rettmann, F. (2019). AI in the European manufacturing industry – a management guide. International Master's in Management (Nova SBE; Adviser: Prof. Lénia Mestrinho). 

Rocha, S. (2019). Sales as a Science: Predictive Model for Upselling Opportunities in the PaaS Industry. Master’s in Management (Nova SBE; Adviser: Prof. Qiwei Han). 

Sidique, G. (2019). CRM and its importance in an online company - Uniplaces. Nova SBE; Adviser: Prof. Carlos Santos). 

Sousa, C. (2019). Advanced Analytics as a driver of business value. (Nova SBE; Adviser: Prof. Carlos Santos). 

Southerington, E. (2019). How Consumers acquire Financial Literacy? An information acquisition model of human capital. (Nova SBE; Adviser: Prof. Carlos Santos). 

Veiga, J. (2019). Understand Doctoral Referral Networks. International Master’s in Management with Specialization in Digital Business (Nova SBE; Adviser: Prof. Qiwei Han) and Master’s in Information Management with Specialization in Knowledge Management and Business Intelligence (Nova IMS). 

Werdich, L. (2021). Predicting the Development of Diabetic Nephropathy to Simulate Treatments Using Deep Learning Approaches. Master’s in Management (Nova SBE; Adviser: Prof. Qiwei Han).

Zejnilovic, L., Mestrinho, L., Cassibry, K., Bandeira, M. (2020). Data-driven Decision-making in the Portuguese Social Sector. Nova School of Business & Economics (Social Equitive Initiative)