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ORCIDAndriy Temko
Andrey Temko
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- affiliation: University College Cork, Ireland
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2020 – today
- 2024
[j20]Duc-Minh Ngo
, Dominic Lightbody, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici:
A Scalable Security Approach in IoT Networks: Smart Contracts and Anomaly-Based IDS for Gateways Using Hardware Accelerators. IEEE Access 12: 159519-159533 (2024)- [j19]Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici:
Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection. Future Internet 16(3): 88 (2024) - [c44]Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici:
Enhancing Security and Scalability in IoT Networks Applying Blockchain Technology. CDVE 2024: 265-277 - 2023
- [j18]Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Cuong Pham-Quoc, Ngoc-Thinh Tran, Colin C. Murphy, Emanuel M. Popovici:
HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security. Future Internet 15(1): 9 (2023) - [j17]Dominic Lightbody, Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici:
Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection. Future Internet 15(5): 187 (2023) - [c43]Aengus Daly, Gordon Lightbody, Andriy Temko:
Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection. EUSIPCO 2023: 1100-1104 - [c42]Tien Van Nguyen, Aengus Daly, Feargal O'Sullivan, Sergi Gómez-Quintana, Andriy Temko, Emanuel M. Popovici:
A real-time and ultra-low power implementation of an AI-assisted sonification algorithm for neonatal EEG. IWASI 2023: 313-318 - 2022
- [c41]Feargal O'Sullivan, Sergi Gómez-Quintana, Andriy Temko, Emanuel M. Popovici:
An implementation of an AI-assisted sonification algorithm for neonatal EEG seizure detection on an edge device. BHI 2022: 1-4 - 2021
- [j16]Alison O'Shea, Rehan Ahmed, Gordon Lightbody, Elena Pavlidis, Rhodri Lloyd, Francesco Pisani, William P. Marnane, Sean Mathieson, Geraldine B. Boylan, Andriy Temko:
Deep Learning for EEG Seizure Detection in Preterm Infants. Int. J. Neural Syst. 31(8): 2150008:1-2150008:16 (2021) - [c40]Sergi Gómez-Quintana, Ihor Shelevytsky, Victoriya Shelevytska, Emanuel M. Popovici, Andriy Temko:
Automatic segmentation for neonatal phonocardiogram. EMBC 2021: 135-138 - [c39]Sergi Gómez-Quintana, Grainne Cowhig, Marco Borzacchi, Alison O'Shea, Andriy Temko, Emanuel M. Popovici:
An EEG analysis framework through AI and sonification on low power IoT edge devices. EMBC 2021: 277-280 - [c38]Aengus Daly, Alison O'Shea, Gordon Lightbody, Andriy Temko:
Towards Deeper Neural Networks for Neonatal Seizure Detection. EMBC 2021: 920-923 - [c37]Duc-Minh Ngo, Andriy Temko, Colin C. Murphy, Emanuel M. Popovici:
FPGA Hardware Acceleration Framework for Anomaly-based Intrusion Detection System in IoT. FPL 2021: 69-75 - [i6]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture. CoRR abs/2105.13854 (2021) - [i5]Alison O'Shea, Rehan Ahmed, Gordon Lightbody, Sean Mathieson, Elena Pavlidis, Rhodri Lloyd, Francesco Pisani, William P. Marnane, Geraldine B. Boylan, Andriy Temko:
Deep Learning for EEG Seizure Detection in Preterm Infants. CoRR abs/2106.00611 (2021) - 2020
- [j15]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture. Neural Networks 123: 12-25 (2020)
2010 – 2019
- 2019
- [j14]Oksana Semenova, Giorgia Carra, Gordon Lightbody, Geraldine B. Boylan, Eugene M. Dempsey, Andriy Temko:
Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees. Comput. Methods Programs Biomed. 180 (2019) - [j13]Mark E. O'Sullivan, Andriy Temko, Andrea Bocchino, Conor O'Mahony, Geraldine B. Boylan, Emanuel M. Popovici:
Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU. Sensors 19(11): 2637 (2019) - 2018
- [c36]Mark E. O'Sullivan, Emanuel M. Popovici, Andrea Bocchino, Conor O'Mahony, Geraldine B. Boylan, Andriy Temko:
System Level Framework for Assessing the Accuracy of Neonatal EEG Acquisition. EMBC 2018: 4339-4342 - [c35]Mark E. O'Sullivan, Sergi Gomez, Alison O'Shea, Eduard Salgado, Kevin Huillca, Sean Mathieson, Geraldine B. Boylan, Emanuel M. Popovici, Andriy Temko:
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms. EMBC 2018: 4881-4884 - [c34]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance. EMBC 2018: 5862-5865 - [i4]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance. CoRR abs/1806.03044 (2018) - [i3]Sergi Gomez, Mark E. O'Sullivan, Emanuel M. Popovici, Sean Mathieson, Geraldine B. Boylan, Andriy Temko:
On sound-based interpretation of neonatal EEG. CoRR abs/1806.03047 (2018) - [i2]Mark E. O'Sullivan, Sergi Gomez, Alison O'Shea, Eduard Salgado, Kevin Huillca, Sean Mathieson, Geraldine B. Boylan, Emanuel M. Popovici, Andriy Temko:
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms. CoRR abs/1806.04037 (2018) - 2017
- [j12]Rehan Ahmed, Andriy Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Exploring temporal information in neonatal seizures using a dynamic time warping based SVM kernel. Comput. Biol. Medicine 82: 100-110 (2017) - [j11]Andriy Temko:
Accurate Heart Rate Monitoring During Physical Exercises Using PPG. IEEE Trans. Biomed. Eng. 64(9): 2016-2024 (2017) - [c33]Jonatan Poveda, Mark E. O'Sullivan, Emanuel M. Popovici, Andriy Temko:
Portable neonatal EEG monitoring and sonification on an Android device. EMBC 2017: 2018-2021 - [c32]Oksana Semenova, Gordon Lightbody, John M. O'Toole, Geraldine B. Boylan, Eugene M. Dempsey, Andriy Temko:
Modelling interactions between blood pressure and brain activity in preterm neonates. EMBC 2017: 3969-3972 - [c31]Andriy Temko:
PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding. ICASSP 2017: 1013-1017 - [c30]Mark E. O'Sullivan, Jonatan Poveda Pena, Andrea Bocchino, Conor O'Mahony, Daniel Costello, Emanuel M. Popovici, Andriy Temko:
Comparison of electrode technologies for dry and portable EEG acquisition. IWASI 2017: 15-20 - [c29]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Neonatal seizure detection using convolutional neural networks. MLSP 2017: 1-6 - [i1]Alison O'Shea, Gordon Lightbody, Geraldine B. Boylan, Andriy Temko:
Neonatal Seizure Detection using Convolutional Neural Networks. CoRR abs/1709.05849 (2017) - 2015
- [j10]Andriy Temko, Orla M. Doyle, Deirdre Murray, Gordon Lightbody, Geraldine B. Boylan, William P. Marnane:
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy. Comput. Biol. Medicine 63: 169-177 (2015) - [j9]Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Clinical implementation of a neonatal seizure detection algorithm. Decis. Support Syst. 70: 86-96 (2015) - [c28]Andriy Temko:
Estimation of heart rate from photoplethysmography during physical exercise using Wiener filtering and the phase vocoder. EMBC 2015: 1500-1503 - [c27]Rehan Ahmed, Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features. EMBC 2015: 2355-2358 - [c26]Shima Gholinezhadasnefestani, Andriy Temko, Nathan J. Stevenson, Geraldine B. Boylan, Gordon Lightbody, William P. Marnane:
Assessment of quality of ECG for accurate estimation of Heart Rate Variability in newborns. EMBC 2015: 5863-5866 - [c25]Andriy Temko, Achintya Sarkar, Gordon Lightbody:
Detection of seizures in intracranial EEG: UPenn and Mayo Clinic's Seizure Detection Challenge. EMBC 2015: 6582-6585 - 2014
- [j8]Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane:
Automated Detection of Perturbed Cardiac Physiology During Oral Food Allergen Challenge in Children. IEEE J. Biomed. Health Informatics 18(3): 1051-1057 (2014) - [c24]John M. O'Toole, Andriy Temko, Nathan J. Stevenson:
Assessing instantaneous energy in the EEG: A non-negative, frequency-weighted energy operator. EMBC 2014: 3288-3291 - [c23]Andriy Temko, William P. Marnane, Geraldine B. Boylan, John M. O'Toole, Gordon Lightbody:
Neonatal EEG audification for seizure detection. EMBC 2014: 4451-4454 - [c22]Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
EEG 'diarization' for the description of neonatal brain injuries. ICASSP 2014: 5844-5848 - [c21]Andrey Temko, Geraldine B. Boylan, William P. Marnane, Gordon Lightbody:
Modulation frequency analysis of seizures in neonatal EEG. ICASSP 2014: 5879-5883 - [c20]Rehan Ahmed, Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Grading brain injury in neonatal EEG using SVM and supervector kernel. ICASSP 2014: 5894-5898 - 2013
- [j7]Andrey Temko, Geraldine B. Boylan, William P. Marnane, Gordon Lightbody:
Robust neonatal EEG seizure Detection through Adaptive Background Modeling. Int. J. Neural Syst. 23(4) (2013) - [j6]Eoin M. Thomas, Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Discriminative and Generative Classification Techniques Applied to Automated Neonatal Seizure Detection. IEEE J. Biomed. Health Informatics 17(2): 297-304 (2013) - 2012
- [j5]Andrey Temko, Gordon Lightbody, Eoin M. Thomas, Geraldine B. Boylan, William P. Marnane:
Instantaneous Measure of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detection. IEEE Trans. Biomed. Eng. 59(3): 717-727 (2012) - [c19]Andriy Temko, Nathan J. Stevenson, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Temporal evolution of seizure burden for automated neonatal EEG classification. EMBC 2012: 4915-4918 - [c18]Rehan Ahmed, Andrey Temko, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
Dynamic time warping based neonatal seizure detection system. EMBC 2012: 4919-4922 - 2011
- [j4]Andrey Temko, Climent Nadeu, William P. Marnane, Geraldine B. Boylan, Gordon Lightbody:
EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures. IEEE Trans. Inf. Technol. Biomed. 15(6): 839-847 (2011) - [c17]Andriy Temko, Gordon Lightbody, Geraldine B. Boylan, William P. Marnane:
Online EEG channel weighting for detection of seizures in the neonate. EMBC 2011: 1447-1450 - [c16]Daniel Kelleher, Andrey Temko, S. O'Regan, D. Nash, B. McNamara, Daniel Costello, William P. Marnane:
Parallel artefact rejection for epileptiform activity detection in routine EEG. EMBC 2011: 7953-7956 - [c15]Niall Twomey, Andrey Temko, Jonathan O'B. Hourihane, William P. Marnane:
Allergy detection with statistical modelling of HRV-based non-reaction baseline features. ISABEL 2011: 134:1-134:5 - 2010
- [c14]Andrey Temko, Irina Korotchikova, William P. Marnane, Gordon Lightbody, Geraldine B. Boylan:
Validation of an Automated Seizure Detection System on Healthy Babies - Histogram-based Energy Normalization for Montage Mismatch Compensation. BIOSIGNALS 2010: 312-317
2000 – 2009
- 2009
- [j3]Andrey Temko, Climent Nadeu:
Acoustic event detection in meeting-room environments. Pattern Recognit. Lett. 30(14): 1281-1288 (2009) - [p1]Andrey Temko, Climent Nadeu, Dusan Macho, Robert G. Malkin, Christian Zieger, Maurizio Omologo:
Acoustic Event Detection and Classification. Computers in the Human Interaction Loop 2009: 61-73 - 2008
- [j2]Andrey Temko, Dusan Macho, Climent Nadeu:
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds. Pattern Recognit. 41(5): 1814-1823 (2008) - [c13]Taras Butko, Andrey Temko, Climent Nadeu, Cristian Canton-Ferrer:
Fusion of audio and video modalities for detection of acoustic events. INTERSPEECH 2008: 123-126 - [c12]Andrey Temko, Climent Nadeu:
Detection of acoustic events in interactive seminar data with temporal overlaps. INTERSPEECH 2008: 2594-2597 - [c11]Taras Butko, Andrey Temko, Climent Nadeu, Cristian Canton-Ferrer:
Inclusion of Video Information for Detection of Acoustic Events Using the Fuzzy Integral. MLMI 2008: 74-85 - 2007
- [b1]Andriy Temko:
Acoustic event detection and classification. Polytechnic University of Catalonia, Spain, 2007 - [c10]Andrey Temko, Climent Nadeu, Joan-Isaac Biel:
Acoustic Event Detection: SVM-Based System and Evaluation Setup in CLEAR'07. CLEAR 2007: 354-363 - [c9]Jordi Luque, Xavier Anguera, Andrey Temko, Javier Hernando:
Speaker Diarization for Conference Room: The UPC RT07s Evaluation System. CLEAR 2007: 543-553 - [c8]Andrey Temko, Dusan Macho, Climent Nadeu:
Enhanced SVM Training for Robust Speech Activity Detection. ICASSP (4) 2007: 1025-1028 - [c7]Mireia Farrús, Pascual Ejarque, Andrey Temko, Javier Hernando:
Histogram Equalization in SVM Multimodal Person Verification. ICB 2007: 819-827 - 2006
- [j1]Andrey Temko, Climent Nadeu:
Classification of acoustic events using SVM-based clustering schemes. Pattern Recognit. 39(4): 682-694 (2006) - [c6]Andrey Temko, Robert G. Malkin, Christian Zieger, Dusan Macho, Climent Nadeu, Maurizio Omologo:
CLEAR Evaluation of Acoustic Event Detection and Classification Systems. CLEAR 2006: 311-322 - [c5]Andrey Temko, Enric Monte, Climent Nadeu:
Comparison of Sequence Discriminant Support Vector Machines for Acoustic Event Classification. ICASSP (5) 2006: 721-724 - [c4]Dusan Macho, Climent Nadeu, Andrey Temko:
Robust Speech Activity Detection in Interactive Smart-Room Environments. MLMI 2006: 236-247 - 2005
- [c3]Andrey Temko, Climent Nadeu:
Classification of meeting-room acoustic events with support vector machines and variable-feature-set clustering. ICASSP (5) 2005: 505-508 - [c2]Andrey Temko, Dusan Macho, Climent Nadeu:
Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification. INTERSPEECH 2005: 2989-2992 - [c1]Andrey Temko, Dusan Macho, Climent Nadeu:
Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integral. MLMI 2005: 357-368
Coauthor Index
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