Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints. - Antonio G. Marqués; Luis M. Lopez-Ramos; Georgios B. Giannakis; Javier Ramos 001 (CAMSAP, 2011)

Stochastic resource allocation for cognitive radio networks based on imperfect state information. - Antonio G. Marqués; Georgios B. Giannakis; Luis M. Lopez-Ramos; Javier Ramos 001 (ICASSP, 2011)

Jointly optimal sensing and resource allocation for multiuser interweave cognitive radios. - Luis M. Lopez-Ramos; Antonio G. Marqués; Javier Ramos 001 (CrownCom, 2012)

Cognitive radios with ergodic capacity guarantees for primary users. - Antonio G. Marqués; Luis M. Lopez-Ramos; Javier Ramos 001 (CrownCom, 2012)

Jointly Optimal Sensing and Resource Allocation for Multiuser Overlay Cognitive Radios - Luis M. Lopez-Ramos; Antonio G. Marqués; Javier Ramos 001 (CoRR, 2012)

Resource Allocation for Interweave and Underlay CRs Under Probability-of-Interference Constraints. - Antonio G. Marqués; Luis M. Lopez-Ramos; Georgios B. Giannakis; Javier Ramos 001 (IEEE J. Sel. Areas Commun., 2012)

Optimal Cross-Layer Resource Allocation in Cellular Networks Using Channel- and Queue-State Information. - Antonio G. Marqués; Luis M. Lopez-Ramos; Georgios B. Giannakis; Javier Ramos 001; Antonio J. Caamaño (IEEE Trans. Veh. Technol., 2012)

Soft-decision sequential sensing for optimization of interweave Cognitive Radio networks. - Luis M. Lopez-Ramos; Antonio G. Marqués; Javier Ramos 001 (SPAWC, 2013)

Joint sensing and resource allocation for underlay cognitive radios. - Luis M. Lopez-Ramos; Antonio G. Marqués; Javier Ramos 001 (ICASSP, 2014)

Microgrid dispatch and price of reliability using stochastic approximation. - Luis M. Lopez-Ramos; Vassilis Kekatos; Antonio G. Marqués; Georgios B. Giannakis (GlobalSIP, 2015)

Online topology estimation for vector autoregressive processes in data networks. - Bakht Zaman; Luis M. Lopez-Ramos; Daniel Romero 004; Baltasar Beferull-Lozano (CAMSAP, 2017)

Dynamic Network Identification from Non-Stationary Vector Autoregressive Time Series. - Luis M. Lopez-Ramos; Daniel Romero 004; Bakht Zaman; Baltasar Beferull-Lozano (GlobalSIP, 2018)

Localization-Free Power Cartography. - Yves Teganya; Luis M. Lopez-Ramos; Daniel Romero 004; Baltasar Beferull-Lozano (ICASSP, 2018)

Two-Timescale Stochastic Dispatch of Smart Distribution Grids. - Luis M. Lopez-Ramos; Vassilis Kekatos; Antonio G. Marques; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2018)

Location-Free Spectrum Cartography. - Yves Teganya; Daniel Romero 004; Luis M. Lopez-Ramos; Baltasar Beferull-Lozano (IEEE Trans. Signal Process., 2019)

Online Hyperparameter Search Interleaved with Proximal Parameter Updates. - Luis M. Lopez-Ramos; Baltasar Beferull-Lozano (EUSIPCO, 2020)

Channel Gain Cartography via Mixture of Experts. - Luis M. Lopez-Ramos; Yves Teganya; Baltasar Beferull-Lozano; Seung-Jun Kim 002 (GLOBECOM, 2020)

Future Perspectives on Automated Machine Learning in Biomedical Signal Processing. - Luis Miguel Lopez-Ramos (INTAP, 2021)

Explainable Nonlinear Modelling of Multiple Time Series with Invertible Neural Networks. - Luis Miguel Lopez-Ramos; Kevin Roy; Baltasar Beferull-Lozano (INTAP, 2021)

Online Topology Identification From Vector Autoregressive Time Series. - Bakht Zaman; Luis Miguel Lopez-Ramos; Daniel Romero 004; Baltasar Beferull-Lozano (IEEE Trans. Signal Process., 2021)

Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries. - Kevin Roy; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (IEEECONF, 2022)

Zero-delay Consistent and Smooth Trainable Interpolation. - Emilio Ruiz-Moreno; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (CoRR, 2022)

Zero-delay Consistent Signal Reconstruction from Streamed Multivariate Time Series. - Emilio Ruiz-Moreno; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (CoRR, 2023)

Efficient Interpretable Nonlinear Modeling for Multiple Time Series. - Kevin Roy; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (CoRR, 2023)

Online Joint Topology Identification and Signal Estimation From Streams With Missing Data. - Bakht Zaman; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (IEEE Trans. Signal Inf. Process. over Networks, 2023)

A Trainable Approach to Zero-Delay Smoothing Spline Interpolation. - Emilio Ruiz-Moreno; Luis Miguel Lopez-Ramos; Baltasar Beferull-Lozano (IEEE Trans. Signal Process., 2023)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review. - Luis M. Lopez-Ramos; Florian Leiser; Aditya Rastogi; Steven Hicks; Inga Strümke; Vince I. Madai; Tobias Budig; Ali Sunyaev; Adam Hilbert (CoRR, 2024)