Miguel Rodrigues

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

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Publications

Martin Ferianc, Miguel Rodrigues
YAMLE: Yet Another Machine Learning Environment. CoRR (2024)
Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
SAE: Single Architecture Ensemble Neural Networks. CoRR (2024)
Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR (2024)
Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity. CoRR (2024)
Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
HgbNet: predicting hemoglobin level/anemia degree from EHR data. CoRR (2024)
Miguel Rodrigues, Vera L. Miguéis, Carlos Felix, Carlos Rodrigues
Machine learning and cointegration for structural health monitoring of a model under environmental effects. Expert Syst. Appl. 238 (Part C) (2024)
Maria C. Novitasari, Johannes Quaas, Miguel Rodrigues
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. AISTATS (2024)
Martin Ferianc, Miguel Rodrigues
MIMMO: Multi-Input Massive Multi-Output Neural Network. CVPR Workshops (2023)
Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
Retrieval-Augmented Multiple Instance Learning. NeurIPS (2023)
Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. CoRR (2023)
Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
Multimodal Diagnosis for Pulmonary Embolism from EHR Data and CT Images. EMBC (2022)
Wei Chen, David Wipf, Miguel Rodrigues
Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework. ICASSP (2021)
Jianjun Zhang, Christos Masouros, Miguel Rodrigues
Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach. GLOBECOM (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC (2021)
Jialong Xu, Bo Ai, Wei Chen, Ning Wang, Miguel Rodrigues
Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach. CoRR (2021)
Nuno Pombo, Miguel Rodrigues, Zdenka Babic, Magdalena Punceva, Nuno C. Garcia
Computerised Sentiment Analysis on Social Networks. Two Case Studies: FIFA World Cup 2018 and Cristiano Ronaldo Joining Juventus. WorldCIST (2) (2021)
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR (2021)
Miguel Rodrigues, Flávio R. S. Coutinho
A Tool to Implement Adaptive Audio Techniques on Unity Games. SBGames (2021)
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) (2021)
Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. CoRR (2021)
Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
On the effects of quantisation on model uncertainty in Bayesian neural networks. UAI (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR (2021)
Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR (2020)
Amanda F. Pereira, Jonathan Silva, Henrique Hideki, Miguel Rodrigues, Luiza Souza, Michel Martins, Ismael S. SilvaMichel, Glívia A. R. Barbosa, Flávio R. S. Coutinho
Game accessibility guidelines for people with sequelae from macular chorioretinitis. Entertain. Comput. 28 (2018)
André Dionísio Rocha, Miguel Rodrigues, José Barata Oliveira
An Evolvable and Adaptable Agent Based Smart Grid Management - A Simulation Environment. SOHOMA (2016)
George Smart, John Atkinson, John E. Mitchell, Miguel Rodrigues, Yiannis Andreopoulos
Energy harvesting for the Internet-of-Things: Measurements and probability models. ICT (2016)
Miguel Rodrigues, Nuno Roma, Pedro Tomás
Fast and Scalable Thread Migration for Multi-core Architectures. EUC (2015)
Miguel Rodrigues
Multiple-antenna fading coherent channels with arbitrary inputs: Characterization and optimization of the reliable information transmission rate. CoRR (2012)
Nishita Hathi, Miguel Rodrigues, Izzat Darwazeh, John J. O'Reilly
Analysis of the influence of Walsh-Hadamard code allocation strategies on the performance of multi-carrier CDMA systems in the presence of HPA non-linearities. PIMRC (2002)