James P. Reilly

89 papers B 4Misc 21Journal 38Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Blind Source Separation in Biomedical Signals Using Variational Methods.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2025 J jnl
Chem-NMF: Multi-layer α-divergence Non-Negative Matrix Factorization for Cardiorespiratory Disease Clustering, with Improved Convergence Inspired by Chemical Catalysts and Rigorous Asymptotic Analysis.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2025 J jnl
In Celebration: Professor Simon Haykin [In Memoriam].
IEEE Signal Process. Mag.
Tim Davidson, James P. Reilly
2025 J jnl
Large Language Model-based Nonnegative Matrix Factorization For Cardiorespiratory Sound Separation.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2025 J jnl
Large Language Models and Non-Negative Matrix Factorization for Bioacoustic Signal Decomposition.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2025 J jnl
QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2024 — conf
Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning Algorithm.
EMBC
Mary Margarette Sanchez, Maryam Ravan, Gary Hasey, James P. Reilly, Luciano Minuzzi
2024 — conf
Diagnosis of schizophrenia using an extended multivariate autoregressive model for EEGs.
EMBC
Ali Torabi, James P. Reilly, Duncan MacCrimmon
2024 J jnl
Exploring Sensing Devices for Heart and Lung Sound Monitoring.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2024 J jnl
Manikin-Recorded Cardiopulmonary Sounds Dataset Using Digital Stethoscope.
CoRR
Yasaman Torabi, Shahram Shirani, James P. Reilly
2021 J jnl
Advanced Signal Processing Methods for Characterization of Schizophrenia.
IEEE Trans. Biomed. Eng.
Kirill Masychev, Claudio Ciprian, Maryam Ravan, James P. Reilly, Duncan MacCrimmon
2020 B conf
Impact of Physiological Sensor Variance on Machine Learning Algorithms.
SMC
Ama Simons, Thomas E. Doyle, David M. Musson, James P. Reilly
2019 J jnl
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction.
IEEE J. Biomed. Health Informatics
Narges Armanfard, Majid Komeili, James P. Reilly, John F. Connolly
2019 J jnl
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics.
Neural Comput.
Saurabh Bhaskar Shaw, Kiret Dhindsa, James P. Reilly, Suzanna Becker
2019 J jnl
Estimating neural sources using a worst-case robust adaptive beamforming approach.
Biomed. Signal Process. Control.
Philip Chrapka, James P. Reilly, Hubert de Bruin
2018 J jnl
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification.
IEEE Trans. Neural Networks Learn. Syst.
Narges Armanfard, James P. Reilly, Majid Komeili
2018 — conf
Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation.
EMBC
Sinisa Colic, D. J. Richardson, James P. Reilly, Gary M. Hasey
2017 J jnl
Majorization-minimization for blind source separation of sparse sources.
Signal Process.
Nasser Mourad, James P. Reilly, Thia Kirubarajan
2016 — conf
Automatic and continuous assessment of ERPs for mismatch negativity detection.
EMBC
Narges Armanfard, Majid Komeili, James P. Reilly, Richard Mah, John F. Connolly
2016 J jnl
Local Feature Selection for Data Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Narges Armanfard, James P. Reilly, Majid Komeili
2016 — conf
Vigilance lapse identification using sparse EEG electrode arrays.
CCECE
Narges Armanfard, Majid Komeili, James P. Reilly, Lou Pino
2014 J jnl
Minimum Variance Brain Source Localization for Short Data Sequences.
IEEE Trans. Biomed. Eng.
Maryam Ravan, James P. Reilly, Gary Hasey
2014 J jnl
Recursive hidden input estimation in nonlinear dynamic systems with varying amounts of a priori knowledge.
Signal Process.
Ulas Güntürkün, James P. Reilly, Thia Kirubarajan, Hubert de Bruin
2013 — conf
Classification based on local feature selection via linear programming.
MLSP
Narges Armanfard, James P. Reilly
2013 — conf
Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment Response.
PRNI
Ahmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey
2012 — conf
A machine learning approach using P300 responses to investigate effect of clozapine therapy.
EMBC
Maryam Ravan, Duncan MacCrimmon, Gary Hasey, James P. Reilly, Ahmad Khodayari-Rostamabad
2012 Misc conf
Automatic threshold estimation for Iterative Shrinkage Algorithms used with compressed sensing.
ICASSP
Nasser Mourad, James P. Reilly
2012 — conf
Brain source localization based on fast fully adaptive approach.
EMBC
Maryam Ravan, James P. Reilly
2011 J jnl
Mean-Square Error in Periodogram Approaches With Adaptive Windowing.
IEEE Trans. Signal Process.
Soosan Beheshti, Maryam Ravan, James P. Reilly, Laurel J. Trainor
2011 — conf
Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression.
EMBC
Ahmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey, Hubert de Bruin, Duncan MacCrimmon
2010 Misc conf
Blind extraction of sparse sources.
ICASSP
Nasser Mourad, James P. Reilly
2010 J jnl
Minimizing nonconvex functions for sparse vector reconstruction.
IEEE Trans. Signal Process.
Nasser Mourad, James P. Reilly
2010 Misc conf
Modified hierarchical clustering for sparse component analysis.
ICASSP
Nasser Mourad, James P. Reilly
2010 Misc conf
Temporally constrained SCA with applications to EEG data.
ICASSP
Nasser Mourad, James P. Reilly, Gary Hasey, Duncan MacCrimmon
2008 J jnl
An EM Algorithm for Nonlinear State Estimation With Model Uncertainties.
IEEE Trans. Signal Process.
Amin Zia, Thiagalingam Kirubarajan, James P. Reilly, Derek Yee, Kumaradevan Punithakumar, Shahram Shirani
2008 J jnl
Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models.
IEEE Trans. Signal Process.
Derek Yee, James P. Reilly, Thia Kirubarajan, Kumaradevan Punithakumar
2008 J jnl
Fast and accurate identification of semi-tryptic peptides in shotgun proteomics.
Bioinform.
Pedro Alves, Randy J. Arnold, David E. Clemmer, Yixue Li, James P. Reilly, Quanhu Sheng, Haixu Tang, Zhiyin Xun, Rong Zeng, Predrag Radivojac
2008 — conf
Iterative enhancement of event related potentials through sparsity constraints.
EUSIPCO
Nasser Mourad, James P. Reilly, Laurel J. Trainor, Bernhard Ross
2007 J jnl
A Blind Sequential Monte Carlo Detector for OFDM Systems in the Presence of Phase Noise, Multipath Fading, and Channel Order Uncertainty.
IEEE Trans. Signal Process.
Derek Yee, James P. Reilly, Thiagalingam Kirubarajan
2007 — conf
A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data.
ICASSP (1)
Nasser Mourad, James P. Reilly, Hubert de Bruin, Gary Hasey, Duncan MacCrimmon
2007 Misc conf
Advancement in Protein Inference from Shotgun Proteomics Using Peptide Detectability.
Pacific Symposium on Biocomputing
Pedro Alves, Randy J. Arnold, Milos V. Novotny, Predrag Radivojac, James P. Reilly, Haixu Tang
2007 J jnl
An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification.
IEEE Trans. Signal Process.
Amin Zia, James P. Reilly, Jonathan H. Manton, Shahram Shirani
2007 B conf
Distributed Parameter Estimation with Side Information: A Factor Graph Approach.
ISIT
Amin Zia, James P. Reilly, Shahram Shirani
2006 — conf
A Coding Theorem for Multiterminal Estimation.
ICASSP (4)
Amin Zia, James P. Reilly, Timothy R. Field, Shahram Shirani
2006 — conf
A computational approach toward label-free protein quantification using predicted peptide detectability.
ISMB (Supplement of Bioinformatics)
Haixu Tang, Randy J. Arnold, Pedro Alves, Zhiyin Xun, David E. Clemmer, Milos V. Novotny, James P. Reilly, Predrag Radivojac
2006 — conf
SVM Classifier Approach to Enumerate Directional Signals Impinging on an Array of Sensors.
CCECE
Ahmad Khodayari-Rostamabad, James P. Reilly
2005 J jnl
A Frequency Domain Method for Blind Source Separation of Convolutive Audio Mixtures.
IEEE Trans. Speech Audio Process.
Kamran Rahbar, James P. Reilly
2005 — conf
Channel equalization and phase noise suppression for OFDM systems in a time-varying frequency selective channel using particle filtering.
ICASSP (3)
Derek Yee, James P. Reilly, Thia Kirubarajan
2005 — conf
Marginalized particle filtering for blind system identification.
EUSIPCO
Michael J. Daly, James P. Reilly
2005 — conf
Rao-Blackwellised particle filtering for blind system identification.
ICASSP (4)
Michael J. Daly, James P. Reilly, Mark R. Morelande
2005 J jnl
Wideband array signal processing using MCMC methods.
IEEE Trans. Signal Process.
William Ng, James P. Reilly, Thiagalingam Kirubarajan, Jean-René Larocque
2004 — conf
An information geometric approach to channel identification.
ICASSP (4)
Amin Zia, James P. Reilly, Shahram Shirani
2004 — conf
Blind deconvolution using Bayesian methods with application to the dereverberation of speech.
ICASSP (2)
Michael J. Daly, James P. Reilly
2004 J jnl
Blind identification of MIMO FIR systems driven by quasistationary sources using second-order statistics: a frequency domain approach.
IEEE Trans. Signal Process.
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
2004 J jnl
Efficient design of oversampled NPR GDFT filterbanks.
IEEE Trans. Signal Process.
Matthew R. Wilbur, Timothy N. Davidson, James P. Reilly
2004 — conf
Information geometric approach to channel identification: a comparison with EM-MCMC algorithm.
ICC
Amin Zia, James P. Reilly, Shahram Shirani
2003 — conf
Efficient design of oversampled NPR GDFT filter banks.
ICASSP (6)
Matthew R. Wilbur, Timothy N. Davidson, James P. Reilly
2003 — conf
Wideband array signal processing using MCMC methods.
ICASSP (5)
William Ng, James P. Reilly, Thia Kirubarajan
2002 Misc conf
A frequency domain approach to blind identification of MIMO FIR systems driven by quasi-stationary signals.
ICASSP
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
2002 J jnl
Particle filters for tracking an unknown number of sources.
IEEE Trans. Signal Process.
Jean-René Larocque, James P. Reilly, William Ng
2002 J jnl
Reversible jump MCMC for joint detection and estimation of sources in colored noise.
IEEE Trans. Signal Process.
Jean-René Larocque, James P. Reilly
2002 J jnl
The complex subband decomposition and its application to the decimation of large adaptive filtering problems.
IEEE Trans. Signal Process.
James P. Reilly, Matthew R. Wilbur, Michael Seibert, Nima Ahmadvand
2001 Misc conf
Blind source separation of convolved sources by joint approximate diagonalization of cross-spectral density matrices.
ICASSP
Kamran Rahbar, James P. Reilly
2001 Misc conf
On the implementation of particle filters for DOA tracking.
ICASSP
William Ng, Jean-René Larocque, James P. Reilly
2001 Misc conf
Wide band channel characterisation in coloured noise using the reversible jump MCMC.
ICASSP
Jean-René Larocque, James P. Reilly
2000 Misc conf
Application of the reversible jump Markov chain Monte Carlo method to real-life propagation measurements.
ICASSP
Jean-René Larocque, James P. Reilly
2000 B conf
The Iterative Deconvolution of Linearly Blurred Images Using Non-Parametric Stabilizing Functions.
ICIP
James R. Hare, James P. Reilly
2000 Misc conf
The decomposition of large problems using single-sided subbanding.
ICASSP
James P. Reilly, Michael Seibert, Matthew R. Wilbur
1999 — conf
A simplified informax approach for blind signal separation.
ISSPA
Jiangtao Xi, Joe F. Chicharo, James P. Reilly
1999 Misc conf
Blind signal separation for convolutive mixing environments using spatial-temporal processing.
ICASSP
James P. Reilly, Lino Coria-Mendoza
1997 Misc conf
Blind separation and restoration of signals mixed in convolutive environment.
ICASSP
Jiangtao Xi, James P. Reilly
1994 — conf
A computationally efficient self-calibrating direction-of-arrival estimator.
ICASSP (4)
Dean McArthur, James P. Reilly
1994 J jnl
Maximum likelihood direction-finding in unknown noise environments.
IEEE Trans. Signal Process.
Qiang Wu, Kon Max Wong, James P. Reilly
1993 — conf
A neural structure for direction finding with sensor array uncertainties.
ICASSP (1)
Jiankan Yang, Qiang Wu, James P. Reilly
1992 Misc conf
A neural network for direction finding in array processing.
ICASSP
Jiankan Yang, Qiang Wu, James P. Reilly
1992 Misc conf
Detection of the number of signals in noise with unknown, non-white covariance matrices.
ICASSP
W. G. Chen, James P. Reilly, Kon Max Wong
1992 J jnl
Estimation of the directions of arrival of signals in unknown correlated noise. I. The MAP approach and its implementation.
IEEE Trans. Signal Process.
Kon Max Wong, James P. Reilly, Qiang Wu, Sanzheng Qiao
1992 J jnl
Estimation of the directions of arrival of signals in unknown correlated noise. II. Asymptotic behavior and performance of the MAP approach.
IEEE Trans. Signal Process.
James P. Reilly, Kon Max Wong
1992 Misc conf
Maximum likelihood estimation for array processing in unknown noise environments.
ICASSP
Qiang Wu, Kon Max Wong, James P. Reilly
1991 J jnl
Detection of the number of signals: a predicted eigen-threshold approach.
IEEE Trans. Signal Process.
Weiguo Chen, Kon Max Wong, James P. Reilly
1991 Misc conf
Extension of ESPRIT method to unknown noise environments.
ICASSP
Qiang Wu, James P. Reilly
1991 Misc conf
Optimal design of linear array of sensors.
ICASSP
Xinping Huang, James P. Reilly, Kon Max Wong
1990 B conf
Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network.
IJCNN
T. M. Jelonek, James P. Reilly
1990 J jnl
On information theoretic criteria for determining the number of signals in high resolution array processing.
IEEE Trans. Acoust. Speech Signal Process.
Kon Max Wong, Qi-Tu Zhang, James P. Reilly, Patrick C. Yip
1989 Misc conf
Direction of arrival estimation in the presence of noise with unknown, arbitrary covariance matrices.
ICASSP
James P. Reilly, Kon Max Wong, P. M. Reilly
1989 J jnl
Statistical analysis of the performance of information theoretic criteria in the detection of the number of signals in array processing.
IEEE Trans. Acoust. Speech Signal Process.
Qitu Zhang, Kon Max Wong, Patrick C. Yip, James P. Reilly
1988 Misc conf
A new criterion for the determination of the number of signals in high-resolution array processing.
ICASSP
Kon Max Wong, Q. T. Zhang, James P. Reilly, Patrick C. Yip
1987 J jnl
A real-time high-resolution technique for angle-of-arrival estimation.
Proc. IEEE
James P. Reilly
1980 Misc conf
An experimental study of the MEM applied to array antennas in the presence of multipath.
ICASSP
James P. Reilly, Simon Haykin