James P. Reilly

Publication Activity (10 Years)

Years Active: 1980-2024
Publications (10 Years): 12

Top Topics

Outcome Prediction

Blind Source Separation

Minimum Variance

Feature Selection And Classification

Top Venues

Signal Process.

IEEE Trans. Biomed. Eng.

Publications

Yasaman Torabi, Shahram Shirani, James P. Reilly
Exploring Sensing Devices for Heart and Lung Sound Monitoring. CoRR (2024)
Kirill Masychev, Claudio Ciprian, Maryam Ravan, James P. Reilly, Duncan MacCrimmon
Advanced Signal Processing Methods for Characterization of Schizophrenia. IEEE Trans. Biomed. Eng. 68 (4) (2021)
Ama Simons, Thomas E. Doyle, David M. Musson, James P. Reilly
Impact of Physiological Sensor Variance on Machine Learning Algorithms. SMC (2020)
Narges Armanfard, Majid Komeili, James P. Reilly, John F. Connolly
A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Saurabh Bhaskar Shaw, Kiret Dhindsa, James P. Reilly, Suzanna Becker
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics. Neural Comput. 31 (11) (2019)
Philip Chrapka, James P. Reilly, Hubert de Bruin
Estimating neural sources using a worst-case robust adaptive beamforming approach. Biomed. Signal Process. Control. 52 (2019)
Sinisa Colic, D. J. Richardson, James P. Reilly, Gary M. Hasey
Using Machine Learning Algorithms to Enhance the Management of Suicide Ideation. EMBC (2018)
Narges Armanfard, James P. Reilly, Majid Komeili
Logistic Localized Modeling of the Sample Space for Feature Selection and Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Nasser Mourad, James P. Reilly, Thia Kirubarajan
Majorization-minimization for blind source separation of sparse sources. Signal Process. 131 (2017)
Narges Armanfard, Majid Komeili, James P. Reilly, Lou Pino
Vigilance lapse identification using sparse EEG electrode arrays. CCECE (2016)
Narges Armanfard, Majid Komeili, James P. Reilly, Richard Mah, John F. Connolly
Automatic and continuous assessment of ERPs for mismatch negativity detection. EMBC (2016)
Narges Armanfard, James P. Reilly, Majid Komeili
Local Feature Selection for Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38 (6) (2016)
Maryam Ravan, James P. Reilly, Gary Hasey
Minimum Variance Brain Source Localization for Short Data Sequences. IEEE Trans. Biomed. Eng. 61 (2) (2014)
Ulas Güntürkün, James P. Reilly, Thia Kirubarajan, Hubert de Bruin
Recursive hidden input estimation in nonlinear dynamic systems with varying amounts of a priori knowledge. Signal Process. 99 (2014)
Narges Armanfard, James P. Reilly
Classification based on local feature selection via linear programming. MLSP (2013)
Ahmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey
Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment Response. PRNI (2013)
Nasser Mourad, James P. Reilly
Automatic threshold estimation for Iterative Shrinkage Algorithms used with compressed sensing. ICASSP (2012)
Maryam Ravan, James P. Reilly
Brain source localization based on fast fully adaptive approach. EMBC (2012)
Maryam Ravan, Duncan MacCrimmon, Gary Hasey, James P. Reilly, Ahmad Khodayari-Rostamabad
A machine learning approach using P300 responses to investigate effect of clozapine therapy. EMBC (2012)
Soosan Beheshti, Maryam Ravan, James P. Reilly, Laurel J. Trainor
Mean-Square Error in Periodogram Approaches With Adaptive Windowing. IEEE Trans. Signal Process. 59 (3) (2011)
Ahmad Khodayari-Rostamabad, James P. Reilly, Gary M. Hasey, Hubert de Bruin, Duncan MacCrimmon
Using pre-treatment electroencephalography data to predict response to transcranial magnetic stimulation therapy for major depression. EMBC (2011)
Nasser Mourad, James P. Reilly
Modified hierarchical clustering for sparse component analysis. ICASSP (2010)
Nasser Mourad, James P. Reilly, Gary Hasey, Duncan MacCrimmon
Temporally constrained SCA with applications to EEG data. ICASSP (2010)
Nasser Mourad, James P. Reilly
Blind extraction of sparse sources. ICASSP (2010)
Nasser Mourad, James P. Reilly
Minimizing nonconvex functions for sparse vector reconstruction. IEEE Trans. Signal Process. 58 (7) (2010)
Nasser Mourad, James P. Reilly
P minimization for sparse vector reconstruction. ICASSP (2009)
Amin Zia, Thiagalingam Kirubarajan, James P. Reilly, Derek Yee, Kumaradevan Punithakumar, Shahram Shirani
An EM Algorithm for Nonlinear State Estimation With Model Uncertainties. IEEE Trans. Signal Process. 56 (3) (2008)
Pedro Alves, Randy J. Arnold, David E. Clemmer, Yixue Li, James P. Reilly, Quanhu Sheng, Haixu Tang, Zhiyin Xun, Rong Zeng, Predrag Radivojac
Fast and accurate identification of semi-tryptic peptides in shotgun proteomics. Bioinform. 24 (1) (2008)
Derek Yee, James P. Reilly, Thia Kirubarajan, Kumaradevan Punithakumar
Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models. IEEE Trans. Signal Process. 56 (12) (2008)
Nasser Mourad, James P. Reilly, Laurel J. Trainor, Bernhard Ross
Iterative enhancement of event related potentials through sparsity constraints. EUSIPCO (2008)
Nasser Mourad, James P. Reilly, Hubert de Bruin, Gary Hasey, Duncan MacCrimmon
A Simple and Fast Algorithm for Automatic Suppression of High-Amplitude Artifacts in EEG Data. ICASSP (1) (2007)
Amin Zia, James P. Reilly, Shahram Shirani
Distributed Parameter Estimation with Side Information: A Factor Graph Approach. ISIT (2007)
Derek Yee, James P. Reilly, Thiagalingam Kirubarajan
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. 55 (9) (2007)
Pedro Alves, Randy J. Arnold, Milos V. Novotny, Predrag Radivojac, James P. Reilly, Haixu Tang
Advancement in Protein Inference from Shotgun Proteomics Using Peptide Detectability. Pacific Symposium on Biocomputing (2007)
Amin Zia, James P. Reilly, Jonathan H. Manton, Shahram Shirani
An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification. IEEE Trans. Signal Process. 55 (8) (2007)
Ahmad Khodayari-Rostamabad, James P. Reilly
SVM Classifier Approach to Enumerate Directional Signals Impinging on an Array of Sensors. CCECE (2006)
Amin Zia, James P. Reilly, Timothy R. Field, Shahram Shirani
A Coding Theorem for Multiterminal Estimation. ICASSP (4) (2006)
Haixu Tang, Randy J. Arnold, Pedro Alves, Zhiyin Xun, David E. Clemmer, Milos V. Novotny, James P. Reilly, Predrag Radivojac
A computational approach toward label-free protein quantification using predicted peptide detectability. ISMB (Supplement of Bioinformatics) (2006)
Derek Yee, James P. Reilly, Thia Kirubarajan
Channel equalization and phase noise suppression for OFDM systems in a time-varying frequency selective channel using particle filtering. ICASSP (3) (2005)
Kamran Rahbar, James P. Reilly
A Frequency Domain Method for Blind Source Separation of Convolutive Audio Mixtures. IEEE Trans. Speech Audio Process. 13 (5-2) (2005)
Michael J. Daly, James P. Reilly
Marginalized particle filtering for blind system identification. EUSIPCO (2005)
Michael J. Daly, James P. Reilly, Mark R. Morelande
Rao-Blackwellised particle filtering for blind system identification. ICASSP (4) (2005)
William Ng, James P. Reilly, Thiagalingam Kirubarajan, Jean-René Larocque
Wideband array signal processing using MCMC methods. IEEE Trans. Signal Process. 53 (2-1) (2005)
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
Blind identification of MIMO FIR systems driven by quasistationary sources using second-order statistics: a frequency domain approach. IEEE Trans. Signal Process. 52 (2) (2004)
Michael J. Daly, James P. Reilly
Blind deconvolution using Bayesian methods with application to the dereverberation of speech. ICASSP (2) (2004)
Amin Zia, James P. Reilly, Shahram Shirani
An information geometric approach to channel identification. ICASSP (4) (2004)
Amin Zia, James P. Reilly, Shahram Shirani
Information geometric approach to channel identification: a comparison with EM-MCMC algorithm. ICC (2004)
Matthew R. Wilbur, Timothy N. Davidson, James P. Reilly
Efficient design of oversampled NPR GDFT filterbanks. IEEE Trans. Signal Process. 52 (7) (2004)
Matthew R. Wilbur, Timothy N. Davidson, James P. Reilly
Efficient design of oversampled NPR GDFT filter banks. ICASSP (6) (2003)
William Ng, James P. Reilly, Thia Kirubarajan
Wideband array signal processing using MCMC methods. ICASSP (5) (2003)
James P. Reilly, Matthew R. Wilbur, Michael Seibert, Nima Ahmadvand
The complex subband decomposition and its application to the decimation of large adaptive filtering problems. IEEE Trans. Signal Process. 50 (11) (2002)
Jean-René Larocque, James P. Reilly
Reversible jump MCMC for joint detection and estimation of sources in colored noise. IEEE Trans. Signal Process. 50 (2) (2002)
Kamran Rahbar, James P. Reilly, Jonathan H. Manton
A frequency domain approach to blind identification of MIMO FIR systems driven by quasi-stationary signals. ICASSP (2002)
Jean-René Larocque, James P. Reilly, William Ng
Particle filters for tracking an unknown number of sources. IEEE Trans. Signal Process. 50 (12) (2002)
Kamran Rahbar, James P. Reilly
Blind source separation of convolved sources by joint approximate diagonalization of cross-spectral density matrices. ICASSP (2001)
William Ng, Jean-René Larocque, James P. Reilly
On the implementation of particle filters for DOA tracking. ICASSP (2001)
Jean-René Larocque, James P. Reilly
Wide band channel characterisation in coloured noise using the reversible jump MCMC. ICASSP (2001)
Jean-René Larocque, James P. Reilly
Application of the reversible jump Markov chain Monte Carlo method to real-life propagation measurements. ICASSP (2000)
James R. Hare, James P. Reilly
The Iterative Deconvolution of Linearly Blurred Images Using Non-Parametric Stabilizing Functions. ICIP (2000)
James P. Reilly, Michael Seibert, Matthew R. Wilbur
The decomposition of large problems using single-sided subbanding. ICASSP (2000)
James P. Reilly, Lino Coria-Mendoza
Blind signal separation for convolutive mixing environments using spatial-temporal processing. ICASSP (1999)
Jiangtao Xi, Joe F. Chicharo, James P. Reilly
A simplified informax approach for blind signal separation. ISSPA (1999)
Jiangtao Xi, James P. Reilly
Blind separation and restoration of signals mixed in convolutive environment. ICASSP (1997)
Qiang Wu, Kon Max Wong, James P. Reilly
Maximum likelihood direction-finding in unknown noise environments. IEEE Trans. Signal Process. 42 (4) (1994)
Dean McArthur, James P. Reilly
A computationally efficient self-calibrating direction-of-arrival estimator. ICASSP (4) (1994)
Jiankan Yang, Qiang Wu, James P. Reilly
A neural structure for direction finding with sensor array uncertainties. ICASSP (1) (1993)
James P. Reilly, Kon Max Wong
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. 40 (8) (1992)
Jiankan Yang, Qiang Wu, James P. Reilly
A neural network for direction finding in array processing. ICASSP (1992)
Kon Max Wong, James P. Reilly, Qiang Wu, Sanzheng Qiao
Estimation of the directions of arrival of signals in unknown correlated noise. I. The MAP approach and its implementation. IEEE Trans. Signal Process. 40 (8) (1992)
W. G. Chen, James P. Reilly, Kon Max Wong
Detection of the number of signals in noise with unknown, non-white covariance matrices. ICASSP (1992)
Qiang Wu, Kon Max Wong, James P. Reilly
Maximum likelihood estimation for array processing in unknown noise environments. ICASSP (1992)
Xinping Huang, James P. Reilly, Kon Max Wong
Optimal design of linear array of sensors. ICASSP (1991)
Weiguo Chen, Kon Max Wong, James P. Reilly
Detection of the number of signals: a predicted eigen-threshold approach. IEEE Trans. Signal Process. 39 (5) (1991)
Qiang Wu, James P. Reilly
Extension of ESPRIT method to unknown noise environments. ICASSP (1991)
T. M. Jelonek, James P. Reilly
Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network. IJCNN (1990)
Kon Max Wong, Q.-T. Zhang, James P. Reilly, Patrick C. Yip
On information theoretic criteria for determining the number of signals in high resolution array processing. IEEE Trans. Acoust. Speech Signal Process. 38 (11) (1990)
Qitu Zhang, Kon Max Wong, Patrick C. Yip, James P. Reilly
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. 37 (10) (1989)
James P. Reilly, Kon Max Wong, P. M. Reilly
Direction of arrival estimation in the presence of noise with unknown, arbitrary covariance matrices. ICASSP (1989)
Kon Max Wong, Q. T. Zhang, James P. Reilly, Patrick C. Yip
A new criterion for the determination of the number of signals in high-resolution array processing. ICASSP (1988)
James P. Reilly
A real-time high-resolution technique for angle-of-arrival estimation. Proc. IEEE 75 (12) (1987)
James P. Reilly, Simon Haykin
An experimental study of the MEM applied to array antennas in the presence of multipath. ICASSP (1980)