Levin Kuhlmann

According to our database, Levin Kuhlmann authored at least 54 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Augmenting Replay in World Models for Continual Reinforcement Learning.

Luke Yang, Levin Kuhlmann, Gideon Kowadlo

CoRR, 2024

Left/Right Brain, human motor control and the implications for robotics.

Jarrad Rinaldo, Levin Kuhlmann, Jason Friedman, Gideon Kowadlo

CoRR, 2024

Uncovering co-regulatory modules and gene regulatory networks in the heart through machine learning-based analysis of large-scale epigenomic data.

Naima Vahab, Tarun Bonu, Levin Kuhlmann, Mirana Ramialison, Sonika Tyagi

Comput. Biol. Medicine, 2024

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy.

Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann

Proceedings of the 27th International Conference on Information Fusion, 2024

Forecasting events in multidimensional electroencephalographic brain data: Application to epileptic seizure prediction.

Yueyang Liu, Artemio Soto-Breceda, Mark J. Cook, Philippa J. Karoly, David B. Grayden, Levin Kuhlmann, Dean R. Freestone, Daniel Schmidt

Proceedings of the 27th International Conference on Information Fusion, 2024

Graceful Task Adaptation with a Bi-hemispheric RL Agent.

Grant Nicholas, Levin Kuhlmann, Gideon Kowadlo

Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023

Automated Interictal Epileptiform Discharge Detection from Scalp EEG Using Scalable Time-series Classification Approaches.

D. Nhu, M. Janmohamed, L. Shakhatreh, O. Gonen, Piero Perucca, A. Gilligan, Patrick Kwan, Terence J. O'Brien, Chang Wei Tan, Levin Kuhlmann

Int. J. Neural Syst., January, 2023

Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions.

Yun Zhao, Felix Luong, Simon Teshuva, Andria Pelentritou, William Woods, David T. J. Liley, Daniel F. Schmidt, Mario Boley, Levin Kuhlmann

Int. J. Neural Syst., 2023

Brain Model State Space Reconstruction Using an LSTM Neural Network.

Yueyang Liu, Artemio Soto-Breceda, Yun Zhao, Phillipa Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann

CoRR, 2023

Inference-based time-resolved stability analysis of nonlinear whole-cortex modeling: application to Xenon anaesthesia.

Yun Zhao, Mario Boley, Andria Pelentritou, William Woods, David T. J. Liley, Levin Kuhlmann

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Model Parameter Estimation As Features to Predict the Duration of Epileptic Seizures From Onset.

Yueyang Liu, Siqi Xia, Artemio Soto-Breceda, Philippa J. Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps.

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

Sensors, 2022

Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm.

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

NeuroImage, 2022

Predicting epileptic seizures from raw EEG signals using advanced deep learning techniques.

Mohamed Gamil, Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abde El Ghany

Proceedings of the 4th Novel Intelligent and Leading Emerging Sciences Conference, 2022

FPGA Implementation of Epileptic Seizure Detection using Artificial Neural Network.

Ahmad A. Ahmad, Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abde El Ghany

Proceedings of the 4th Novel Intelligent and Leading Emerging Sciences Conference, 2022

Enhanced Extra Trees Classifier for Epileptic Seizure Prediction.

Maurice Ntahobari, Levin Kuhlmann, Mario Boley, Zhinoos Razavi Hesabi

Proceedings of the 5th International Conference on Signal Processing and Information Security, 2022

Deep Learning Models for Seizure Prediction using the Wavelet Transform.

Yasmin M. Massoud, Mennatallah Sherif, Levin Kuhlmann, Mohamed A. Abdel El Ghany

Proceedings of the International Conference on Microelectronics, 2022

2021

Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?

Jens Müller, Hongliu Yang, Matthias Eberlein, Georg Leonhardt, Ortrud Uckermann, Levin Kuhlmann, Ronald Tetzlaff

CoRR, 2021

A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety.

Hashini Senaratne, Levin Kuhlmann, Kirsten Ellis, Glenn Melvin, Sharon L. Oviatt

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Comparison of Patient Specific and General Classification of Epileptic Seizure Prediction.

Yasmin M. Massoud, Levin Kuhlmann, Mohamed A. Abd El Ghany

Proceedings of the International Conference on Microelectronics, 2021

A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction.

Shiva Maleki Varnosfaderani, Rihat Rahman, Nabil J. Sarhan, Levin Kuhlmann, Eishi Asano, Aimee F. Luat, Mohammad Alhawari

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Evaluation of Channel Performance in Seizure Prediction.

Hoai An Nguyen, Zhinoos Razavi Hesabi, Levin Kuhlmann

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

2020

A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction.

Khansa Rasheed, Junaid Qadir, Terence J. O'Brien, Levin Kuhlmann, Adeel Razi

CoRR, 2020

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review.

Khansa Rasheed, Adnan Qayyum, Junaid Qadir, Shobi Sivathamboo, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Adeel Razi

CoRR, 2020

Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA).

Yashpal Ramakrishnaiah, Levin Kuhlmann, Sonika Tyagi

Comput. Biol. Medicine, 2020

Self-organising Neural Network Hierarchy.

Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees.

Sheng Wong, Levin Kuhlmann

Proceedings of the Australasian Computer Science Week, 2020

Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study.

Yu Liu, Shobi Sivathamboo, Peter Goodin, C. Paul Bonnington, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Piero Perucca, Zongyuan Ge

Proceedings of the Australasian Computer Science Week, 2020

2019

Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction.

Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo

CoRR, 2019

Epileptic Seizure Forecasting With Generative Adversarial Networks.

Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei

IEEE Access, 2019

2018

Seizure pathways: A model-based investigation.

Philippa J. Karoly, Levin Kuhlmann, Daniel Soudry, David B. Grayden, Mark J. Cook, Dean R. Freestone

PLoS Comput. Biol., 2018

Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram.

Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel J. Ippolito, Omid Kavehei

Neural Networks, 2018

Integer Convolutional Neural Network for Seizure Detection.

Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel James Ippolito, Omid Kavehei

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Semi-supervised Seizure Prediction with Generative Adversarial Networks.

Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Omid Kavehei

CoRR, 2018

Convolutional Neural Networks for Epileptic Seizure Prediction.

Matthias Eberlein, Raphael Hildebrand, Ronald Tetzlaff, Nico Hoffmann, Levin Kuhlmann, Benjamin H. Brinkmann, Jens Müller

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring.

Levin Kuhlmann, Jonathan H. Manton, Bjorn Heyse, Hugo E. M. Vereecke, Tarmo Lipping, Michel M. R. F. Struys, David T. J. Liley

IEEE Trans. Biomed. Eng., 2017

Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators.

Elma O'Sullivan-Greene, Levin Kuhlmann, Ewan Nurse, Dean R. Freestone, David B. Grayden, Mark J. Cook, Anthony N. Burkitt, Iven Mareels

Int. J. Neural Syst., 2017

Introduction.

Levin Kuhlmann, David B. Grayden, Mark J. Cook

Int. J. Neural Syst., 2017

Statistical Performance Analysis of Data-Driven Neural Models.

Dean R. Freestone, Kelvin J. Layton, Levin Kuhlmann, Mark J. Cook

Int. J. Neural Syst., 2017

Supervised learning in automatic channel selection for epileptic seizure detection.

Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Andrew Faulks, Omid Kavehei

Expert Syst. Appl., 2017

A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis.

Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Omid Kavehei

CoRR, 2017

2016

Neural mass model-based tracking of anesthetic brain states.

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

NeuroImage, 2016

2015

Parameter and State Estimation of Nonlinear Systems Using a Multi-Observer Under the Supervisory Framework.

Michelle S. Chong, Dragan Nesic, Romain Postoyan, Levin Kuhlmann

IEEE Trans. Autom. Control., 2015

2014

Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons.

Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik

Neural Comput., 2014

Observability limits for networked oscillators.

Elma O'Sullivan-Greene, Iven Mareels, Levin Kuhlmann, Anthony N. Burkitt

Autom., 2014

State and parameter estimation of nonlinear systems: A multi-observer approach.

Michelle S. Chong, Dragan Nesic, Romain Postoyan, Levin Kuhlmann

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

A robust circle criterion observer with application to neural mass models.

Michelle Chong, Romain Postoyan, Dragan Nesic, Levin Kuhlmann, Andrea Varsavsky

Autom., 2012

Online learning in Bayesian Spiking Neurons.

Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Parameter and state estimation for a class of neural mass models.

Romain Postoyan, Michelle Chong, Dragan Nesic, Levin Kuhlmann

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Probing for cortical excitability.

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

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A circle criterion observer for estimating the unmeasured membrane potential of neuronal populations.

Michelle Chong, Romain Postoyan, Dragan Nesic, Levin Kuhlmann, Andrea Varsavsky

Proceedings of the 2011 Australian Control Conference, 2011

2009

Observability issues in networked clocks with applications to epilepsy.

Elma O'Sullivan-Greene, Iven M. Y. Mareels, Anthony N. Burkitt, Levin Kuhlmann

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2002

Summation of Spatiotemporal Input Patterns in Leaky Integrate-and-Fire Neurons: Application to Neurons in the Cochlear Nucleus Receiving Converging Auditory Nerve Fiber Input.

Levin Kuhlmann, Anthony N. Burkitt, Antonio Paolini, Graeme M. Clark

J. Comput. Neurosci., 2002