Richard J. Povinelli

According to our database, Richard J. Povinelli authored at least 37 papers between 2000 and 2023.

Collaborative distances:

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

2023

A Comprehensive Survey on Detection of Non-linear Analysis Techniques for EEG Signal.

Sheikh Iqbal Ahamed, Masud Rabbani, Richard J. Povinelli

Proceedings of the IEEE International Conference on Digital Health, 2023

A Dynamical Systems Approach to Predicting Patient Outcome After Cardiac Arrest.

Richard J. Povinelli, Mathew Dupont

Proceedings of the Computing in Cardiology, 2023

2022

Using Smart Meters to Learn Water Customer Behavior.

Michele R. B. Malinowski, Richard J. Povinelli

IEEE Trans. Engineering Management, 2022

2021

Dynamics Reconstruction of Remote Photoplethysmography.

Lin He, Kazi Shafiul Alam, Jiachen Ma, Richard J. Povinelli, Sheikh Iqbal Ahamed

Proceedings of the Pervasive Computing Technologies for Healthcare, 2021

Enhancing Multi-Channel Eeg Classification with Gramian Temporal Generative Adversarial Networks.

Chi Nok Enoch Kan, Richard J. Povinelli, Dong Hye Ye

Proceedings of the IEEE International Conference on Acoustics, 2021

Speeding-Up the Particle Filter Algorithm for Tracking Multiple Targets Using CUDA Programming.

Jinhua Zhang, Wenkai Guan, Cristinel Ababei, Henry Medeiros, Richard J. Povinelli

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020

A Deep Neural Network and Reconstructed Phase Space Approach to Classifying 12-lead ECGs.

David Kaftan, Richard J. Povinelli

Proceedings of the Computing in Cardiology, 2020

2019

A light weight smartphone based human activity recognition system with high accuracy.

Md. Osman Gani, Taskina Fayezeen, Richard J. Povinelli, Roger O. Smith, Muhammad Arif, Ahmed J. Kattan, Sheikh Iqbal Ahamed

J. Netw. Comput. Appl., 2019

2018

Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo.

Heidi Richburg, Richard J. Povinelli, David Friedland

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods.

Anthony Hoak, Henry Medeiros, Richard J. Povinelli

Sensors, 2017

Hierarchical Bayesian Data Fusion for Robotic Platform Navigation.

Andres F. Echeverri, Henry Medeiros, Ryan Walsh, Yevgeniy Reznichenko, Richard J. Povinelli

CoRR, 2017

2016

An ensemble model of QSAR tools for regulatory risk assessment.

Prachi Pradeep, Richard J. Povinelli, Shannon White, Stephen J. Merrill

J. Cheminformatics, 2016

Identifying extreme cold events using phase space reconstruction.

Babatunde I. Ishola, Richard J. Povinelli, George F. Corliss, Ronald H. Brown

Int. J. Appl. Pattern Recognit., 2016

Smart Topic Detection for Robot Conversation.

Elise Russell, Richard J. Povinelli, Andrew B. Williams

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

2015

A Novel Wireless System to Monitor Gait Using Smartshoe-Worn Sensors.

A. K. M. Jahangir Alam Majumder, Sheikh Iqbal Ahamed, Richard J. Povinelli, Chandana P. Tamma, Roger O. Smith

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Assessment of Pain Using Facial Pictures Taken with a Smartphone.

Mohammad Adibuzzaman, Colin Ostberg, Sheikh Iqbal Ahamed, Richard J. Povinelli, Bhagwant Sindhu, Richard Love, Ferdaus Ahmed Kawsar, Golam Mushih Tanimul Ahsan

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2013

Rotor Bar Fault Monitoring Method Based on Analysis of Air-Gap Torques of Induction Motors.

Aderiano M. da Silva, Richard J. Povinelli, Nabeel A. O. Demerdash

IEEE Trans. Ind. Informatics, 2013

2008

Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes.

Aderiano M. da Silva, Richard J. Povinelli, Nabeel A. O. Demerdash

IEEE Trans. Ind. Electron., 2008

Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson

IEEE Trans. Speech Audio Process., 2008

A Heart Cell Group Model for the Identification of Myocardial Ischemia.

Mohamed A. Mneimneh, Michael T. Johnson, Richard J. Povinelli

Proceedings of the First International Conference on Health Informatics, 2008

2006

Statistical models of reconstructed phase spaces for signal classification.

Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Felice M. Roberts, Jinjin Ye

IEEE Trans. Signal Process., 2006

Sub-banded reconstructed phase spaces for speech recognition.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson

Speech Commun., 2006

Synergistic Use of Compound Properties and Docking Scores in Neural Network Modeling of CYP2D6 Binding: Predicting Affinity and Conformational Sampling.

Peter S. Bazeley, Sridevi Prithivi, Craig A. Struble, Richard J. Povinelli, Daniel S. Sem

J. Chem. Inf. Model., 2006

2005

Time-domain isolated phoneme classification using reconstructed phase spaces.

Michael T. Johnson, Richard J. Povinelli, Andrew C. Lindgren, Jinjin Ye, Xiaolin Liu, Kevin M. Indrebo

IEEE Trans. Speech Audio Process., 2005

Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson

Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

2004

Time Series Classification Using Gaussian Mixture Models of Reconstructed Phase Spaces.

Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Jinjin Ye

IEEE Trans. Knowl. Data Eng., 2004

Book Review: Foundations of Genetic Programming.

Richard J. Povinelli

Genet. Program. Evolvable Mach., 2004

Joint frequency domain and reconstructed phase space features for speech recognition.

Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

A New Temporal Pattern Identification Method for Characterization and Prediction of Complex Time Series Events.

Richard J. Povinelli, Xin Feng

IEEE Trans. Knowl. Data Eng., 2003

Study of attractor variation in the reconstructed phase space of speech signals.

Jinjin Ye, Michael T. Johnson, Richard J. Povinelli

Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Phoneme classification over the reconstructed phase space using principal component analysis.

Jinjin Ye, Michael T. Johnson, Richard J. Povinelli

Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Vowel classification by global dynamic modeling.

Xiaolin Liu, Richard J. Povinelli, Michael T. Johnson

Proceedings of the ITRW on Non-Linear Speech Processing, 2003

A combined sub-band and reconstructed phase space approach to phoneme classification.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson

Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Speech recognition using reconstructed phase space features.

Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Performance of nonlinear speech enhancement using phase space reconstruction.

Michael T. Johnson, Andrew C. Lindgren, Richard J. Povinelli, Xiaolong Yuan

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2001

Identification of ECG Arrhythmias Using Phase Space Reconstruction.

Felice M. Roberts, Richard J. Povinelli, Kristina M. Ropella

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

2000

Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events.

Richard J. Povinelli

Proceedings of the Temporal, 2000