Enriching What-If Scenarios with OLAP Usage Preferences. - Mariana Carvalho; Orlando Belo (KDIR, 2016)

Conceiving Hybrid What-If Scenarios Based on Usage Preferences. - Mariana Carvalho; Orlando Belo (ICDSST, 2017)

Using Alloy for Verifying the Integration of OLAP Preferences in a Hybrid What-If Scenario Application. - Mariana Carvalho; Orlando Belo (KES-IDT (1), 2017)

Inception and Specification of What-If Scenarios Using OLAP Usage Preferences. - Mariana Carvalho; Orlando Belo (SOCO-CISIS-ICEUTE, 2017)

Discovering Analytical Preferences for Personalizing What-If Scenarios. - Mariana Carvalho; Orlando Belo (EPIA (2), 2019)

The Added Value of OLAP Preferences in What-If Applications. - Mariana Carvalho; Orlando Belo (KDIR, 2019)

An Upper Level for What-If Analysis. - Mariana Carvalho; Orlando Belo (IC3K, 2019)

A Soft Context-Aware Traffic Management System for Smart Cities. - Davide Carneiro; António Amaral; Mariana Carvalho (Intelligent Environments (Workshops), 2020)

Optimizing Model Training in Interactive Learning Scenarios. - Davide Carneiro; Miguel Guimarães; Mariana Carvalho; Paulo Novais (WorldCIST (1), 2021)

Boosting E-Auditing Process Through E-Files Semantic Enrichment. - Cristóvão Sousa; Mariana Carvalho; Carla Pereira 006 (WorldCIST (2), 2021)

Characterisation of the first group of participants in the Capacid@de Digital initiative. - Óscar Oliveira; Mariana Carvalho; Renata Freitas; Carla Pereira 006 (CENTERIS/ProjMAN/HCist, 2022)

Risk Factors Associated with Hospital Unwarned Appointment Absenteeism: A logistic binary regression approach. - Miguel Maia; Ana I. Borges; Mariana Carvalho (ICoMS, 2022)

Using Segmentation to Improve Machine Learning Performance in Human-in-the-Loop Systems. - Davide Carneiro; Mariana Carvalho (IntelliSys (2), 2022)

Teaching Data Structures and Algorithms Through Games. - Davide Carneiro; Mariana Carvalho (MIS4TEL (Workshops), 2022)

Continuously Learning from User Feedback. - Davide Carneiro; Miguel Sousa; Guilherme Palumbo; Miguel Guimarães; Mariana Carvalho; Paulo Novais (WorldCIST (1), 2022)

Enhancing Healthcare in Emergency Department Through Patient and External Conditions Profiling: A Cluster Analysis. - Mariana Carvalho; Ana Borges (KDIR, 2023)

Using meta-learning to predict performance metrics in machine learning problems. - Davide Carneiro; Miguel Guimarães; Mariana Carvalho; Paulo Novais (Expert Syst. J. Knowl. Eng., 2023)

Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities. - Mariana Carvalho; Ana Borges; Alexandra Gavina; Lídia Duarte; Joana Leite; Maria João Polidoro; Sandra M. Aleixo; Sónia Dias (KDIR, 2024)

Powered Wearable Technologies for Dementia Care: Evaluating Activity Recognition Models and Dataset Challenges. - Mariana Carvalho; Inês C. Rocha; Marcelo Arantes; Ricardo Linhares; José M. Soares; António L. N. Moreira; João L. Vilaça; Demétrio Matos; Pedro Morais; Vítor Carvalho 001 (BIOSTEC (2): HEALTHINF, 2025)

A Comparison of Supervised Learning Models on Distinct Datasets for Malware Detection. - Mariana Carvalho; Daniel Fernandes; Nuno Lopes; Óscar R. Ribeiro (ISDFS, 2025)