Managing Divergent Information: Enhancing Document Expressiveness. - Francisco Antunes; João Paulo Costa; Paulo Maçãs (HICSS, 2006)

Information management in distributed collaborative systems: The case of collaboration studio. - Francisco Antunes; Paulo E. Melo; João Paulo Costa (Eur. J. Oper. Res., 2007)

Using GSS For Decision Reconstruction: A Preliminary Study. - Francisco Antunes; João Paulo Costa (MCIS, 2009)

Unfading Decisions - A Position Paper on Decision Reconstruction. - Francisco Antunes; João Paulo Costa (KEOD, 2010)

The Impact of Online Social Networks on Decision Support Systems. - Francisco Antunes; João Costa (MCIS (Short Papers), 2012)

Integrating Decision Support and Social Networks. - Francisco Antunes; João Paulo Costa (Adv. Hum. Comput. Interact., 2012)

A Decision Reconstruction Support Model. - Francisco Antunes; João Paulo Costa (Int. J. Inf. Technol. Decis. Mak., 2013)

Semantic Web Tools and Decision-Making. - Francisco Antunes; Manuela Freire; João Paulo Costa (GDN, 2014)

Reviewing Motivations for Engaging in Decision Support Social Networks. - Francisco Antunes; João Paulo Costa (Int. J. Hum. Cap. Inf. Technol. Prof., 2014)

Demand Modelling for Responsive Transport Systems Using Digital Footprints. - Paulo Silva 002; Francisco Antunes; Rui Gomes; Carlos Bento 001 (EPIA, 2015)

Essential Functionalities for Commercial Internet Presence: A Portuguese Study. - Alexandre Ferreira; Francisco Antunes (Int. J. E Bus. Res., 2015)

Semantic web and decision support systems. - Francisco Antunes; Manuela Freire; João Paulo Costa (J. Decis. Syst., 2016)

Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal. - Merkebe Getachew Demissie; Santi Phithakkitnukoon; Titipat Sukhvibul; Francisco Antunes; Rui Gomes; Carlos Bento 001 (IEEE Trans. Intell. Transp. Syst., 2016)

A Semantics Extraction Framework for Decision Support in Context-Specific Social Web Networks. - Manuela Freire; Francisco Antunes; João Paulo Costa (ICDSST, 2017)

Probabilistic modeling and visualization for bankruptcy prediction. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (Appl. Soft Comput., 2017)

Active Learning for Input Space Exploration in Traffic Simulators. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira (IJCNN, 2018)

Efficient Transport Simulation With Restricted Batch-Mode Active Learning. - Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes (IEEE Trans. Intell. Transp. Syst., 2018)

Directional Grid-Based Search for Simulation Metamodeling Using Active Learning. - Francisco Antunes; Francisco C. Pereira; Bernardete Ribeiro (INTSYS, 2019)

An integrated approach for strategic and tactical decisions for the emergency medical service: Exploring optimization and metamodel-based simulation for vehicle location. - Marco Amorim; Francisco Antunes; Sara Ferreira; António Couto (Comput. Ind. Eng., 2019)

Active learning metamodeling for policy analysis: Application to an emergency medical service simulator. - Francisco Antunes; Marco Amorim; Francisco C. Pereira; Bernardete Ribeiro (Simul. Model. Pract. Theory, 2019)

Applying Social Network Analysis and Data Mining Techniques to Support Decision-Making: A Case Study. - Manuela Freire; Francisco Antunes; João Paulo Costa (MLIS, 2022)

Bayesian Active Learning with Fully Bayesian Gaussian Processes. - Christoffer Riis; Francisco Antunes; Frederik Boe Hüttel; Carlos Lima Azevedo; Francisco Pereira 002 (NeurIPS, 2022)

Getting decision support from context-specific online social networks: a case study. - Manuela Freire; Francisco Antunes; João Paulo Costa (Soc. Netw. Anal. Min., 2022)

Social Web Analysis for Decision Support: A Case Study. - Manuela Freire; Francisco Antunes; João Paulo Costa (MLIS, 2023)

NOSTROMO: Lessons learned, conclusions and way forward. - Mayte Cano; Andrés Perillo; Juan Antonio López; Faustino Tello; Javier Poveda; Francisco Câmara; Francisco Antunes; Christoffer Riis; Ian Crook; Abderrazak Tibichte; Sandrine Molton; David Mocholí; et al. (CoRR, 2023)

Applied metamodelling for ATM performance simulations. - Christoffer Riis; Francisco N. Antunes; Tatjana Bolic; Gérald Gurtner; Andrew Cook; Carlos Lima Azevedo; Francisco Câmara Pereira (CoRR, 2023)

Enhancing decision-making support by mining social media data with social network analysis. - Manuela Freire; Francisco Antunes; João Paulo Costa (Soc. Netw. Anal. Min., 2023)

Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (CIARP (2), 2024)

Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (EPIA (3), 2024)

DylanPerdigao/Bayesian-Optimization-1D-CSNN. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (Zenodo, 2024)

Spiking Alternatives for the Leaky Integrate-and-Fire Neuron: Applications in Cybersecurity and Financial Threats. - Dylan Perdigão; Francisco Antunes; Catarina Silva 001; Bernardete Ribeiro (IbPRIA, 2025)

Convolutional Spiking Neural Networks targeting learning and inference in highly imbalanced datasets. - Bernardete Ribeiro; Francisco Antunes; Dylan Perdigão; Catarina Silva 001 (Pattern Recognit. Lett., 2025)

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation. - Huu Phong Nguyen; Shekhar Madhav Khairnar; Sofia Garces Palacios; Amr Al-Abbas; Francisco Antunes; Bernardete Ribeiro; Melissa E. Hogg; Amer H. Zureikat; Patricio M. Polanco; Herbert Zeh III; Ganesh Sankaranarayanan (CoRR, 2025)