Levin Kuhlmann

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 43

Top Topics

Parameter Estimation

Convolutional Neural Networks

Top Venues

Int. J. Neural Syst.

Publications

Luke Yang, Levin Kuhlmann, Gideon Kowadlo
Augmenting Replay in World Models for Continual Reinforcement Learning. CoRR (2024)
Naima Vahab, Tarun Bonu, Levin Kuhlmann, Mirana Ramialison, Sonika Tyagi
Uncovering co-regulatory modules and gene regulatory networks in the heart through machine learning-based analysis of large-scale epigenomic data. Comput. Biol. Medicine 171 (2024)
Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo
Graceful task adaptation with a bi-hemispheric RL agent. CoRR (2024)
Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez-Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK (2024)
Jarrad Rinaldo, Levin Kuhlmann, Jason Friedman, Gideon Kowadlo
Left/Right Brain, human motor control and the implications for robotics. CoRR (2024)
Yun Zhao, Mario Boley, Andria Pelentritou, William Woods, David T. J. Liley, Levin Kuhlmann
Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia. EMBC (2023)
Yueyang Liu, Artemio Soto-Breceda, Yun Zhao, Phillipa Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann
Brain Model State Space Reconstruction Using an LSTM Neural Network. CoRR (2023)
Yueyang Liu, Siqi Xia, Artemio Soto-Breceda, Philippa J. Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann
Model Parameter Estimation As Features to Predict the Duration of Epileptic Seizures From Onset. EMBC (2023)
D. Nhu, M. Janmohamed, L. Shakhatreh, O. Gonen, Piero Perucca, A. Gilligan, Patrick Kwan, Terence J. O'Brien, C. W. Tan, Levin Kuhlmann
Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches. Int. J. Neural Syst. 33 (1) (2023)
Yun Zhao, Felix Luong, Simon Teshuva, Andria Pelentritou, William Woods, David T. J. Liley, Daniel F. Schmidt, Mario Boley, Levin Kuhlmann
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions. Int. J. Neural Syst. 33 (5) (2023)
Mohamed Gamil, Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abde El Ghany
Predicting epileptic seizures from raw EEG signals using advanced deep learning techniques. NILES (2022)
Yasmin M. Massoud, Mennatallah Sherif, Levin Kuhlmann, Mohamed A. Abdel El Ghany
Deep Learning Models for Seizure Prediction using the Wavelet Transform. ICM (2022)
Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi
Enhanced Extra Trees Classifier for Epileptic Seizure Prediction. ICSPIS (2022)
Yun Zhao, Mario Boley, Andria Pelentritou, Philippa J. Karoly, Dean R. Freestone, Yueyang Liu, Suresh D. Muthukumaraswamy, William Woods, David T. J. Liley, Levin Kuhlmann
Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm. NeuroImage 263 (2022)
Chuen Rue Ng, Patrique Fiedler, Levin Kuhlmann, David T. J. Liley, Beatriz Vasconcelos, Carlos Fonseca, Gabriella Tamburro, Silvia Comani, Troby Ka-Yan Lui, Chun-Yu Tse, Indhika Fauzhan Warsito, Eko Supriyanto, Jens Haueisen
Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps. Sensors 22 (20) (2022)
Ahmad A. Ahmad, Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abde El Ghany
FPGA Implementation of Epileptic Seizure Detection using Artificial Neural Network. NILES (2022)
Hashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, Sharon L. Oviatt
A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety. ICMI (2021)
Jens Müller, Hongliu Yang, Matthias Eberlein, Georg Leonhardt, Ortrud Uckermann, Levin Kuhlmann, Ronald Tetzlaff
Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence? CoRR (2021)
Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abd El Ghany
Comparison of Patient Specific and General Classification of Epileptic Seizure Prediction. ICM (2021)
Shiva Maleki Varnosfaderani, Rihat Rahman, Nabil J. Sarhan, Levin Kuhlmann, Eishi Asano, Aimee Luat, Mohammad Alhawari
A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction. AICAS (2021)
Hoai An Nguyen, Zhinoos Razavi Hesabi, Levin Kuhlmann
Evaluation of Channel Performance in Seizure Prediction. ACSW (2021)
Sheng Wong, Levin Kuhlmann
Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees. ACSW (2020)
Yashpal Ramakrishnaiah, Levin Kuhlmann, Sonika Tyagi
Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA). Comput. Biol. Medicine 127 (2020)
Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann
Self-organising Neural Network Hierarchy. Australasian Conference on Artificial Intelligence (2020)
Khansa Rasheed, Junaid Qadir, Terence J. O'Brien, Levin Kuhlmann, Adeel Razi
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction. CoRR (2020)
Yu Liu, Shobi Sivathamboo, Peter Goodin, C. Paul Bonnington, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Piero Perucca, Zongyuan Ge
Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study. ACSW (2020)
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Adeel Razi
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review. CoRR (2020)
Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction. CoRR (2019)
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei
Epileptic Seizure Forecasting With Generative Adversarial Networks. IEEE Access 7 (2019)
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel J. Ippolito, Omid Kavehei
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram. Neural Networks 105 (2018)
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Omid Kavehei
Semi-supervised Seizure Prediction with Generative Adversarial Networks. CoRR (2018)
Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
Convolutional Neural Networks for Epileptic Seizure Prediction. CoRR (2018)
Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller
Convolutional Neural Networks for Epileptic Seizure Prediction. BIBM (2018)
Philippa J. Karoly, Levin Kuhlmann, Daniel Soudry, David B. Grayden, Mark J. Cook, Dean R. Freestone
Seizure pathways: A model-based investigation. PLoS Comput. Biol. 14 (10) (2018)
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel James Ippolito, Omid Kavehei
Integer Convolutional Neural Network for Seizure Detection. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Elma O'Sullivan-Greene, Levin Kuhlmann, Ewan Nurse, Dean R. Freestone, David B. Grayden, Mark J. Cook, Anthony N. Burkitt, Iven Mareels
Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators. Int. J. Neural Syst. 27 (1) (2017)
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Omid Kavehei
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis. CoRR (2017)
Dean R. Freestone, Kelvin J. Layton, Levin Kuhlmann, Mark J. Cook
Statistical Performance Analysis of Data-Driven Neural Models. Int. J. Neural Syst. 27 (1) (2017)
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Andrew Faulks, Omid Kavehei
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection. CoRR (2017)
Levin Kuhlmann, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley
Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Andrew Faulks, Omid Kavehei
Supervised learning in automatic channel selection for epileptic seizure detection. Expert Syst. Appl. 86 (2017)
Levin Kuhlmann, David B. Grayden, Mark J. Cook
Introduction. Int. J. Neural Syst. 27 (1) (2017)
Levin Kuhlmann, Dean R. Freestone, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley
Neural mass model-based tracking of anesthetic brain states. NeuroImage 133 (2016)
Michelle S. Chong, Dragan Nesic, Romain Postoyan, Levin Kuhlmann
Parameter and State Estimation of Nonlinear Systems Using a Multi-Observer Under the Supervisory Framework. IEEE Trans. Autom. Control. 60 (9) (2015)
Michelle S. Chong, Dragan Nesic, Romain Postoyan, Levin Kuhlmann
State and parameter estimation of nonlinear systems: A multi-observer approach. CDC (2014)
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Comput. 26 (3) (2014)
Elma O'Sullivan-Greene, Iven Mareels, Levin Kuhlmann, Anthony N. Burkitt
Observability limits for networked oscillators. Autom. 50 (4) (2014)
Romain Postoyan, Michelle Chong, Dragan Nesic, Levin Kuhlmann
Parameter and state estimation for a class of neural mass models. CDC (2012)
Michelle Chong, Romain Postoyan, Dragan Nesic, Levin Kuhlmann, Andrea Varsavsky
A robust circle criterion observer with application to neural mass models. Autom. 48 (11) (2012)
Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik
Online learning in Bayesian Spiking Neurons. IJCNN (2012)
Michelle Chong, Romain Postoyan, Dragan Nesic, Levin Kuhlmann, Andrea Varsavsky
A circle criterion observer for estimating the unmeasured membrane potential of neuronal populations. AuCC (2011)
Dean R. Freestone, Anthony N. Burkitt, Alan Lai, Timothy S. Nelson, David B. Grayden, Simon J. Vogrin, Michael Murphy, Wendyl D'Souza, Radwa A. B. Badawy, Levin Kuhlmann, Mark J. Cook
Probing for cortical excitability. EMBC (2011)
Elma O'Sullivan-Greene, Iven M. Y. Mareels, Anthony N. Burkitt, Levin Kuhlmann
Observability issues in networked clocks with applications to epilepsy. CDC (2009)
Levin Kuhlmann, Anthony N. Burkitt, Antonio Paolini, Graeme M. Clark
Summation of Spatiotemporal Input Patterns in Leaky Integrate-and-Fire Neurons: Application to Neurons in the Cochlear Nucleus Receiving Converging Auditory Nerve Fiber Input. J. Comput. Neurosci. 12 (1) (2002)