Miguel Rodrigues

34 papers A* 3A 2B 3Misc 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Semi-Automated Pipeline for Optimizing 3D-Printed Drug Formulations. Adv. Intell. Syst. Youssef Abdalla, Martin Ferianc, Haya Alfassam, Atheer Awad, Ruochen Qiao, Miguel Rodrigues, Mine Orlu, Abdul W. Basit, David Shorthouse
2025	J	`jnl`	Cultural Alignment in Large Language Models Using Soft Prompt Tuning. CoRR Reem I. Masoud, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2025	B	`conf`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. COLING Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2025	J	`jnl`	Neural Network for Blind Unmixing: a novel MatrixConv Unmixing (MCU) Approach. CoRR Chao Zhou, Wei Pu, Miguel Rodrigues
2025	A*	`conf`	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. AAAI Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
2024	A	`conf`	ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. AISTATS Maria C. Novitasari, Johannes Quaas, Miguel Rodrigues
2024	J	`jnl`	Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity. CoRR Zhuo Zhi, Ziquan Liu, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
2024	J	`jnl`	Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records. CoRR Sanjana Gundapaneni, Zhuo Zhi, Miguel Rodrigues
2024	J	`jnl`	HgbNet: Predicting Hemoglobin Level/Anemia Degree From Irregular EHR. IEEE Access Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
2024	J	`jnl`	HgbNet: predicting hemoglobin level/anemia degree from EHR data. CoRR Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
2024	J	`jnl`	PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues
2024	J	`jnl`	SAE: Single Architecture Ensemble Neural Networks. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2024	J	`jnl`	YAMLE: Yet Another Machine Learning Environment. CoRR Martin Ferianc, Miguel Rodrigues
2023	—	`conf`	An Online Learning Method for Microgrid Energy Management Control MED Vittorio Casagrande, Martin Ferianc, Miguel Rodrigues, Francesca Boem
2023	J	`jnl`	Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. CoRR Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues
2023	—	`conf`	MIMMO: Multi-Input Massive Multi-Output Neural Network. CVPR Workshops Martin Ferianc, Miguel Rodrigues
2023	A*	`conf`	Retrieval-Augmented Multiple Instance Learning. NeurIPS Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan
2022	J	`jnl`	Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. IEEE J. Sel. Top. Signal Process. Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos
2022	—	`conf`	Multimodal Diagnosis for Pulmonary Embolism from EHR Data and CT Images. EMBC Zhuo Zhi, Moe Elbadawi, Adam Daneshmend, Mine Orlu, Abdul Basit, Andreas Demosthenous, Miguel Rodrigues
2022	J	`jnl`	Simple Regularisation for Uncertainty-Aware Knowledge Distillation. CoRR Martin Ferianc, Miguel Rodrigues
2021	—	`conf`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	J	`jnl`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	Misc	`conf`	Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework. ICASSP Wei Chen, David Wipf, Miguel Rodrigues
2021	A*	`conf`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2021	J	`jnl`	On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. CoRR Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
2021	A	`conf`	On the effects of quantisation on model uncertainty in Bayesian neural networks. UAI Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
2021	—	`conf`	Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2021	B	`conf`	Robust Symbol-Level Precoding Beyond CSI Models: A Probabilistic-Learning Based Approach. GLOBECOM Jianjun Zhang, Christos Masouros, Miguel Rodrigues
2020	J	`jnl`	VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2016	—	`conf`	Energy harvesting for the Internet-of-Things: Measurements and probability models. ICT George Smart, John S. Atkinson, John E. Mitchell, Miguel Rodrigues, Yiannis Andreopoulos
2012	J	`jnl`	Multiple-antenna fading coherent channels with arbitrary inputs: Characterization and optimization of the reliable information transmission rate. CoRR Miguel Rodrigues
2002	B	`conf`	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 Nishita Hathi, Miguel Rodrigues, Izzat Darwazeh, John J. O'Reilly