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Alejandro Almodóvar
Observed names:
Alejandro Almodovar,
Almodóvar, Alejandro
Institutions:
Information Processing and Telecommunications Center,
Universidad Politécnica de Madrid
Observed institutions:
Consejo Superior de Investigaciones Científicas,
Institute for Cross-Disciplinary Physics and Complex Systems,
Information Processing and Telecommunications Center,
Universitat de les Illes Balears,
Universidad Politécnica de Madrid,
University of Bologna
show all 6
ORCID:
0009-0006-0900-4026
Observed ORCIDs:
0009-0006-0900-4026,
0000-0002-7344-330X
OpenAlex ID:
A5071195400
Inverse Reinforcement Learning: A New Framework to Mitigate an Intelligent Backoff Attack
2022
·
Juan Parras
, Alejandro Almodovar
, et al.
·
IEEE Internet of Things Journal
·
11
DeCaFlow: A deconfounding causal generative model
2025
·
Alejandro Almodóvar
, Adrián Javaloy
, et al.
·
neural information processing systems
·
8
PDF
Propensity Weighted federated learning for treatment effect estimation in distributed imbalanced environments
2024
·
Alejandro Almodóvar
, Juan Parras
, et al.
·
Computers in Biology and Medicine
·
8
Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare haematological diseases: an initiative by GenoMed4All Consortium
2025
·
Gianluca Asti
, Patricia A. Apellaniz
, et al.
·
medRxiv
·
4
PDF
Real‐Time, Interpretable Diagnostics for Solid‐State Batteries via Machine Learning on In Situ Impedance Spectra
2026
·
Zachary Warren
, Felipe Cuasquer
, et al.
·
Battery energy
·
3
Interpretable Clinical Classification with Kolmogorov-Arnold Networks
2025
·
Alejandro Almodóvar
, Patricia Alonso de Apellániz
, et al.
·
3
PDF
Liquid-hexatic-solid phases in active and passive Brownian particles determined by stochastic birth and death events
2022
·
Alejandro Almodóvar
, Tobias Galla
, et al.
·
Physical review. E
·
3
PDF
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks
2025
·
Alejandro Almodóvar
, Patricia A. Apellániz
, et al.
·
2
PDF
Kolmogorov-Arnold Causal Generative Models
2026
·
Alejandro Almodovar
, Mar Elizo
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
1
Attentive Neural Processes for Few-Shot Learning Anomaly-Based Vessel Localization Using Magnetic Sensor Data
2025
·
Luis Fernando Fernández-Salvador
, Borja Vilallonga Tejela
, et al.
·
Journal of Marine Science and Engineering
·
1
PDF
Extinction and coexistence in a binary mixture of proliferating motile disks
2024
·
Alejandro Almodóvar
, Tobias Galla
, et al.
·
Physical review. E
·
1
PDF
Deep survival analysis in multimodal medical data: a parametric and probabilistic approach with competing risks
2026
·
Alba Garrido
, Alejandro Almodóvar
, et al.
·
Scientific Reports
PDF
Not all Jensen-Shannon Divergence Estimators are Equal
2026
·
Garrido, Alba
, Almodóvar, Alejandro
, et al.
·
arXiv (Cornell University)
PDF
No Free Lunch for Synthetic Images under Data Scarcity Conditions
2026
·
Galende, Borja Arroyo
, Almodóvar, Alejandro
, et al.
·
arXiv (Cornell University)
PDF
The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning
2026
·
Borja Arroyo Galende
, Patricia A. Apellániz
, et al.
·
Big Data and Cognitive Computing
Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
2026
·
Garriga, Tomàs
, Almodóvar, Alejandro
, et al.
·
arXiv (Cornell University)
PDF
Experimenting Federated AI Models for Hematological Diseases
2026
·
Luciana Carota
, Francesco Casadei
, et al.
·
Communications in computer and information science
Censoring-aware deep learning for patient-level causal survival analysis in medical data
2026
·
Alejandro Almodóvar
, Mar Elizo
, et al.
·
SSRN Electronic Journal
Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases
2025
·
Gianluca Asti
, Mattia Delleani
, et al.
·
Blood
PDF
D6.2 - Preliminary conclusions about Federated Learning applied to clinical data
2021
·
Álvarez, Federico
, Zazo, Santiago
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Active cluster crystals with repulsive potentials
2020
·
Alejandro Almodóvar
, Crístobal López
·
DIGITAL.CSIC (Spanish National Research Council (CSIC))
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Works count:
22
Citation count:
45
H-index:
4
I10-index:
1
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