Andriy Temko

Orcid: 0000-0001-6548-0971

Affiliations:
  • University College Cork, Ireland


According to our database1, Andriy Temko authored at least 65 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection.
Future Internet, March, 2024

2023
Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection.
Future Internet, May, 2023

HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security.
Future Internet, 2023

A real-time and ultra-low power implementation of an AI-assisted sonification algorithm for neonatal EEG.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
An implementation of an AI-assisted sonification algorithm for neonatal EEG seizure detection on an edge device.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Deep Learning for EEG Seizure Detection in Preterm Infants.
Int. J. Neural Syst., 2021

FPGA Hardware Acceleration Framework for Anomaly-based Intrusion Detection System in IoT.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

Automatic segmentation for neonatal phonocardiogram.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An EEG analysis framework through AI and sonification on low power IoT edge devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Towards Deeper Neural Networks for Neonatal Seizure Detection.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.
Neural Networks, 2020

2019
Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU.
Sensors, 2019

Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees.
Comput. Methods Programs Biomed., 2019

2018
On sound-based interpretation of neonatal EEG.
CoRR, 2018

System Level Framework for Assessing the Accuracy of Neonatal EEG Acquisition.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Accurate Heart Rate Monitoring During Physical Exercises Using PPG.
IEEE Trans. Biomed. Eng., 2017

Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel.
Comput. Biol. Medicine, 2017

Neonatal seizure detection using convolutional neural networks.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Comparison of electrode technologies for dry and portable EEG acquisition.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Modelling interactions between blood pressure and brain activity in preterm neonates.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Portable neonatal EEG monitoring and sonification on an Android device.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
Clinical implementation of a neonatal seizure detection algorithm.
Decis. Support Syst., 2015

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.
Comput. Biol. Medicine, 2015

Detection of seizures in intracranial EEG: UPenn and Mayo Clinic's Seizure Detection Challenge.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Estimation of heart rate from photoplethysmography during physical exercise using Wiener filtering and the phase vocoder.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Assessment of quality of ECG for accurate estimation of Heart Rate Variability in newborns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Automated Detection of Perturbed Cardiac Physiology During Oral Food Allergen Challenge in Children.
IEEE J. Biomed. Health Informatics, 2014

EEG 'diarization' for the description of neonatal brain injuries.
Proceedings of the IEEE International Conference on Acoustics, 2014

Modulation frequency analysis of seizures in neonatal EEG.
Proceedings of the IEEE International Conference on Acoustics, 2014

Grading brain injury in neonatal EEG using SVM and supervector kernel.
Proceedings of the IEEE International Conference on Acoustics, 2014

Neonatal EEG audification for seizure detection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Assessing instantaneous energy in the EEG: A non-negative, frequency-weighted energy operator.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Discriminative and Generative Classification Techniques Applied to Automated Neonatal Seizure Detection.
IEEE J. Biomed. Health Informatics, 2013

Robust neonatal EEG seizure Detection through Adaptive Background Modeling.
Int. J. Neural Syst., 2013

2012
Instantaneous Measure of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detection.
IEEE Trans. Biomed. Eng., 2012

Temporal evolution of seizure burden for automated neonatal EEG classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Dynamic time warping based neonatal seizure detection system.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures.
IEEE Trans. Inf. Technol. Biomed., 2011

Allergy detection with statistical modelling of HRV-based non-reaction baseline features.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Online EEG channel weighting for detection of seizures in the neonate.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Parallel artefact rejection for epileptiform activity detection in routine EEG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Validation of an Automated Seizure Detection System on Healthy Babies - Histogram-based Energy Normalization for Montage Mismatch Compensation.
Proceedings of the BIOSIGNALS 2010, 2010

2009
Acoustic Event Detection and Classification.
Proceedings of the Computers in the Human Interaction Loop, 2009

Acoustic event detection in meeting-room environments.
Pattern Recognit. Lett., 2009

2008
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds.
Pattern Recognit., 2008

Inclusion of Video Information for Detection of Acoustic Events Using the Fuzzy Integral.
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

Detection of acoustic events in interactive seminar data with temporal overlaps.
Proceedings of the INTERSPEECH 2008, 2008

Fusion of audio and video modalities for detection of acoustic events.
Proceedings of the INTERSPEECH 2008, 2008

2007
Acoustic event detection and classification.
PhD thesis, 2007

Histogram Equalization in SVM Multimodal Person Verification.
Proceedings of the Advances in Biometrics, International Conference, 2007

Enhanced SVM Training for Robust Speech Activity Detection.
Proceedings of the IEEE International Conference on Acoustics, 2007

Acoustic Event Detection: SVM-Based System and Evaluation Setup in CLEAR'07.
Proceedings of the Multimodal Technologies for Perception of Humans, 2007

Speaker Diarization for Conference Room: The UPC RT07s Evaluation System.
Proceedings of the Multimodal Technologies for Perception of Humans, 2007

2006
Classification of acoustic events using SVM-based clustering schemes.
Pattern Recognit., 2006

Robust Speech Activity Detection in Interactive Smart-Room Environments.
Proceedings of the Machine Learning for Multimodal Interaction, 2006

Comparison of Sequence Discriminant Support Vector Machines for Acoustic Event Classification.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

CLEAR Evaluation of Acoustic Event Detection and Classification Systems.
Proceedings of the Multimodal Technologies for Perception of Humans, 2006

2005
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integral.
Proceedings of the Machine Learning for Multimodal Interaction, 2005

Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification.
Proceedings of the INTERSPEECH 2005, 2005

Classification of meeting-room acoustic events with support vector machines and variable-feature-set clustering.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


  Loading...