Network-based link prediction of scientific concepts - a Science4Cast competition entry. - João P. Moutinho; Bruno C. Coutinho; Lorenzo Buffoni (IEEE BigData, 2021)

Quantum Link Prediction in Complex Networks. - João P. Moutinho; André Melo; Bruno C. Coutinho; István A. Kovács; Yasser Omar (CoRR, 2021)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

Quantum Error Correction Via Noise Guessing Decoding. - Diogo Cruz; Francisco A. Monteiro; Bruno C. Coutinho (IEEE Access, 2023)

Shortest Path Finding in Quantum Networks With Quasi-Linear Complexity. - Sara Santos; Francisco A. Monteiro; Bruno C. Coutinho; Yasser Omar (IEEE Access, 2023)

Entanglement Routing Based on Fidelity Curves for Quantum Photonics Channels. - Bruno C. Coutinho; Raul Monteiro; Luís Bugalho; Francisco A. Monteiro (CoRR, 2023)

Distributing Multipartite Entanglement over Noisy Quantum Networks. - Luís Bugalho; Bruno C. Coutinho; Francisco A. Monteiro; Yasser Omar (Quantum, 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)

Fault-tolerant noise guessing decoding of quantum random codes. - Diogo Cruz; Francisco A. Monteiro; André Roque; Bruno C. Coutinho (CoRR, 2024)

Efficient entanglement purification based on noise guessing decoding. - André Roque; Diogo Cruz; Francisco A. Monteiro; Bruno C. Coutinho (Quantum, 2024)