Alejo J. Nevado-Holgado

According to our database1, Alejo J. Nevado-Holgado authored at least 14 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.
Neural Networks, 2020

Maximizing the use of social and behavioural information from secondary care mental health electronic health records.
J. Biomed. Informatics, 2020

Population Gradients improve performance across data-sets and architectures in object classification.
CoRR, 2020

Med7: a transferable clinical natural language processing model for electronic health records.
CoRR, 2020

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews.
Proceedings of the Interspeech 2020, 2020

An efficient representation of chronological events in medical texts.
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture.
CoRR, 2019

A Path Signature Approach for Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019

The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit.
Proceedings of the 46th Computing in Cardiology, 2019

Few-shot Learning for Named Entity Recognition in Medical Text.
CoRR, 2018

Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: Application to epilepsy seizure evolution.
NeuroImage, 2012

Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Construction and study of mathematical models firmly based on neurophysiological data to investigate Parkinson's disease and epilepsy.
PhD thesis, 2010