João Monteiro

20 papers A* 2Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings. AAAI Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli
2025	J	`jnl`	One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings. CoRR Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli
2024	—	`conf`	From Realtime to Online Erasmus+ Mobility and Back Again. ITiCSE (2) Piotr Milczarski, João Monteiro, Derek O'Reilly
2024	J	`jnl`	Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi-output spatial disaggregation. Trans. GIS Marina Georgati, João Monteiro, Bruno Martins, Carsten Keßler, Henning Sten Hansen
2024	—	`conf`	eBPF Intrusion Detection System with XDP Offload support. NFV-SDN João Monteiro, Bruno Sousa
2023	J	`jnl`	Non-Destructive Inspection of High Temperature Piping Combining Ultrasound and Eddy Current Testing. Sensors David Santos, Miguel A. Machado, João Monteiro, José P. Sousa, Carla S. Proença, Fernando S. Crivellaro, Luis S. Rosado, Telmo G. Santos
2023	J	`jnl`	StarCoder: may the source be with you! CoRR Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023	J	`jnl`	StarCoder: may the source be with you! Trans. Mach. Learn. Res. Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries
2023	A*	`conf`	TouchRay: Towards Low-effort Object Selection at Any Distance in DeskVR. ISMAR João Monteiro, Daniel Mendes, Rui Rodrigues
2022	—	`conf`	A co-training approach for spatial data disaggregation. SIGSPATIAL/GIS João Monteiro, Bruno Martins, Miguel Costa, João Moura Pires
2022	—	`conf`	Enriching Kademlia by Partitioning. ICDCS Workshops João Monteiro, Pedro Ákos Costa, João Leitão, Alfonso de la Rocha, Yiannis Psaras
2022	—	`conf`	Spatial Disaggregation of Population Subgroups Leveraging Self-Trained Multi-Output Gradient Boosting Regression Trees. AGILE Conf. Marina Georgati, João Monteiro, Bruno Martins, Carsten Keßler
2021	J	`jnl`	Domain Conditional Predictors for Domain Adaptation. CoRR João Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
2020	J	`jnl`	Assessing flood severity from crowdsourced social media photos with deep neural networks. Multim. Tools Appl. Jorge Pereira, João Monteiro, Joel Silva, Jacinto Estima, Bruno Martins
2020	—	`conf`	Domain Conditional Predictors for Domain Adaptation. Preregister@NeurIPS João Monteiro, Xavier Gibert Serra, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee
2020	J	`jnl`	Semantic segmentation and colorization of grayscale aerial imagery with W-Net models. Expert Syst. J. Knowl. Eng. Maria Dias, João Monteiro, Jacinto Estima, Joel Silva, Bruno Martins
2019	—	`conf`	Semantic Segmentation of High-Resolution Aerial Imagery with W-Net Models. EPIA (2) Maria Dias, João Monteiro, Jacinto Estima, Joel Silva, Bruno Martins
2017	—	`—`	Exploring the latent space between brain and behaviour using eigen-decomposition methods. João Monteiro
2012	J	`jnl`	Automatic Generation of C-code or PLD Circuits under SFC Graphical Environment CoRR Carla Ferreira, Sérgio Monteiro, João Monteiro
2008	—	`conf`	Quality of service differentiation support in WiMAX networks. ICT Pedro Neves, Francisco Fontes, João Monteiro, Susana Sargento, Thomas Michael Bohnert