Richard J. Povinelli

Publications

Journal (Refereed)

Students' names are italicized.

J28.

Michele R. B. Malinowski, Richard J. Povinelli. (in press) "Using Smart Meters to Learn Water Customer Behavior," IEEE Transactions on Engineering Management. (pdf)

J27.

Masabho P. Milali, Samson S. Kiware, Nicodem J. Govella, Fredros Okumu, Naveen Bansal, Serdar Bozdag, Jacques D. Charlwood, Marta F. Maia, Sheila B. Ogoma, Floyd E. Dowell, George F. Corliss, Maggy T. Sikulu-Lord, Richard J. Povinelli. (2020) "An Autoencoder and Artificial Neural Network-based Method to Estimate Parity Status of Wild Mosquitoes from Near-infrared Spectra," PLOS ONE, vol. 15, no. 6, 1-16. (pdf)

J26.

Masabho P. Milali, Maggy T. Sikulu-Lord, Samson S. Kiware, Floyd E. Dowell, George F. Corliss, Richard J. Povinelli. (2019) "Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks," PLOS ONE, vol. 14, no. 8, 1-17. (web, pdf)

J25.

Md Osman Gani, Taskina Fayezeen, Richard J. Povinelli , Roger O. Smith, Muhammad Arif, Ahmed J. Kattan, Sheikh Iqbal Ahamed. (2019) "A light weight smartphone based human activity recognition system with high accuracy," Journal of Network and Computer Applications, no. 141, 59-72. (web, pdf)

J24.

Gregory D. Merkel, Richard J. Povinelli, Ronald H. Brown. (2018) "Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression" Energies, vol. 11, no. 8, 1-12. (web , pdf)

J23.

Masabho P. Milali, Maggy Sikulu-Lord, Samson S. Kiware, Floyd E. Dowell, Richard J. Povinelli, George F. Corliss. (2018) "Do NIR Spectra Collected from Lab-reared Mosquitoes Differ from those Collected from Wild Mosquitoes?" PLOS ONE,vol. 13, no. 5, 1-16. (web, pdf)

J22.

Hermine N. Akouemo, Richard J. Povinelli. (2017) "Data Improving in Time Series Using ARX and ANN Models," IEEE Transactions on Power Systems, vol. 32, no. 5, 3352-3359. (pdf)

J21.

Anthony Hoak, Henry Medeiros, Richard J. Povinelli. (2017) "Image-Based Multi-Target Tracking Through Multi-Bernoulli Filtering with Interactive Likelihoods," Sensors, vol. 17, no. 3, 1-23. (pdf)

J20.

Prachi Pradeep, Richard J. Povinelli, Shannon White, Stephen Merrill. (2016) "An Ensemble Model of QSAR Tools for Regulatory Risk Assessment," Journal of Cheminformatics, vol. 8, no. 48, 1-9. (pdf)

J19.

Babatunde Ishola, Richard J. Povinelli, George F. Corliss, Ronald H. Brown. (2016) "Identifying Extreme Cold Events Using Phase Space Reconstruction," International Journal of Applied Pattern Recognition, vol. 3, no. 3, 1-21. (pdf)

J18.

Hermine N. Akouemo, Richard J. Povinelli. (2016) "Probabilistic Anomaly Detection in Natural Gas Time Series Data," International Journal of Forecasting, vol. 21, no. 3, 948-956. (web, pdf)

J17.

Prachi Pradeep, Richard J. Povinelli, Stephen Merrill, Serdar Bozdag, Daniel Sem. (2015) "Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for In Vivo Carcinogenicity Prediction," Molecular Informatics, vol. 34, no. 4, 236-245. (web, pdf)

J16.

Aderiano M. da Silva, Richard J. Povinelli, Nabeel A. O. Demerdash. (2013) "Rotor Bar Fault Monitoring Method Based on Analysis of Air-gap Torques of Induction Motors," IEEE Transactions on Industrial Informatics, vol. 9, no. 4, 2274-2283. (pdf)

J15.

Kyle J. Persohn, Richard J. Povinelli. (2012) "Analyzing logistic map pseudorandom number generators for periodicity induced by finite precision floating-point representation," Chaos, Solitons and Fractals, vol. 43, no. 3, March, 238-245. (pdf)

J14.

Chia-Chou Yeh, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, Nabeel A. O. Demerdash, Richard J. Povinelli, Edwin E. Yaz, Daniel M. Ionel. (2008) "A Reconfigurable Motor for Experimental Emulation of Stator Winding Interturn and Broken Bar Faults in Polyphase Induction Machines," IEEE Transaction on Energy Conversion, vol. 23, no. 4, December, 1005-1014. (pdf)

J13.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson. (2008) "Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model," IEEE Transactions on Audio, Speech, and Language Processing, vol. 16, no. 8, November, 1654-1661. (pdf)

J12.

Larry Smith, Lorraine K Tanabe, Rie Johnson nee Ando, Cheng-Ju Kuo, I-Fang Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M Friedrich, Kuzman Ganchev, Manabu Torii, Hongfang Liu, Barry Haddow, Craig A Struble, Richard J Povinelli, Andreas Vlachos, William A Baumgartner Jr, Lawrence Hunter, Bob Carpenter, Richard Tzong-Han Tsai, Hong-Jie Dai, Feng Liu, Yifei Chen, Chengjie Sun, Sophia Katrenko, Pieter Adriaans, Christian Blaschke, Rafael Torres, Mariana Neves, Preslav Nakov, Anna Divoli, Manuel Maña-López, Jacinto Mata and W John Wilbur. (2008) "Overview of BioCreative II Gene Mention Recognition," Genome Biology, vol 9, no. 2, September, S2.1-19. (pdf)

J11.

Aderiano M. da Silva, Richard J. Povinelli, Nabeel A. O. Demerdash. (2008) "Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three Phase Stator Current Envelopes," IEEE Transactions on Industrial Electronics, vol. 55, no. 3, March, 1310-1318. (pdf)

J10.

Behrooz Mirafzal, Richard J. Povinelli, and Nabeel A. O. Demerdash. (2006) "Inter-Turn Fault Diagnosis in Induction Motors Using the Pendulous Oscillation Phenomenon," IEEE Transactions on Energy Conversion, vol. 21, no. 4, December, 871-882. (pdf)

J9.

Peter S. Bazeley, Sridevi Prithivi, Craig A. Struble, Richard J. Povinelli, Daniel S. Sem. (2006) "Synergistic Use of Compound Properties and Docking Scores in Neural Network Modeling of CYP2D6 Binding: Predicting Affinity and Conformational Sampling," Journal of Chemical Information and Modeling, vol. 46, 2698-2708. (pdf)

J8.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson. (2006) "Sub-banded Reconstructed Phase Spaces for Speech Recognition," Speech Communication, vol. 48, 760-774. (pdf)

J7.

Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Felice M. Roberts, Jinjin Ye. (2006) "Statistical Models of Reconstructed Phase Spaces for Signal Classification," IEEE Transactions on Signal Processing, vol. 54, no. 6, June, 2178-2186. (pdf)

J6.

Michael T. Johnson, Richard J. Povinelli, Andrew C. Lindgren, Jinjin Ye, Xiaolin Liu, Kevin M. Indrebo. (2005) "Time-Domain Isolated Phoneme Classification using Reconstructed Phase Spaces," IEEE Transactions on Speech and Audio Processing, vol. 13, no. 4, July, 458-466. (pdf)

J5.

Michael T. Johnson, Richard J. Povinelli. (2005) "Generalized phase space projection for nonlinear noise reduction," Physca D, vol. 201, no. 3-4, February, 306-317. (pdf)

J4.

Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Jinjin Ye. (2004) "Time Series Classification using Gaussian Mixture Models of Reconstructed Phase Spaces," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, June, 779-783. (pdf)

J3.

John F. Bangura, Richard J. Povinelli, Nabeel A. O. Demerdash, Ronald H. Brown. (2003) "Diagnostics of Eccentricities and Bar/End-Ring Connector Breakages in Polyphase Induction Motors through a Combination of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Techniques," IEEE Transactions On Industry Applications, vol. 39, no. 4, July/August, 1005-1013. (pdf)

J2.

Richard J. Povinelli, Xin Feng. (2003) "A New Temporal Pattern Identification Method For Characterization And Prediction Of Complex Time Series Events," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 2, March/April, 339-352. (pdf)

J1.

Richard J. Povinelli, John F. Bangura, Nabeel A. O. Demerdash, Ronald H. Brown. (2002) "Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors Through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling," IEEE Transactions on Energy Conversion, vol. 17, no. 1, March, 39-46. (pdf)

Prize Paper Awards

P2.

Mohamed A. Mneimneh, Richard J. Povinelli. (2007) "RPS/GMM Approach toward the Localization of Myocardial Infarction," PhysioNet/Computers in Cardiology Challenge Winning Entry, Computers in Cardiology, Durham, North Carolina, 185-188. (pdf)

P1.

Richard J. Povinelli. (2005) "Towards the Prediction of Transient ST Changes," PhysioNet/Computers in Cardiology Challenge Winning Paper, Computers in Cardiology, Lyon, France, 663-666. (pdf)

Conference (Refereed)

C56.

Jeffrey A. Starke, Margaret L Mcnamara, Richard J. Povinelli, Daniela Castillo-Perez, L. Noelle Brigham, (2020) "Staying Connected – Interactive Student Learning during the COVID Transition to Remote Learning," ASEE North Midwest Section Annual Conference. (pdf)

C55.

Heidi A. Richburg, Richard J. Povinelli, David R. Friedland. (2018) "Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo," International Conference on Machine Learning and Applications (ICMLA), Orlando, Florida, 332-337. (pdf)

C54.

Andres Echeverri, Yevgeniy Reznichenko, Henry Medeiros, Richard J. Povinelli, Ryan Walsh. (2018) "Real-time Hierarchical Bayesian Data Fusion for Vision-based Target Tracking with Unmanned Aerial Platforms," International Conference on Unmanned Aircraft Systems (ICUAS), Dallas, Texas. (pdf)

C53.

Elise Russell, Richard J. Povinelli, Andrew B. Williams. (2016) "Smart Topic Detection for Robot Conversation," IEEE/ACM Human-Robotic Interaction (HRI), New Zealand. (pdf)

C52.

AKM Jahangir, Alam Majumder, Sheikh Iqbal Ahamed, Richard J. Povinelli, Chandana P. Tamma, Roger Smith. (2015) "A Novel Wireless System to Monitor Gait Using Smartshoe-Worn Sensors," IEEE Computer Software and Applications Conference (COMPSAC), Taichung, Taiwan, 733-741. (pdf)

C51.

Mohammad Adibuzzaman, Colin Ostberg, Sheikh Iqbal Ahamed, Richard J. Povinelli, Bhagwant Sindhu, Richard Love, Ferdaus Kawsar, Tanimul Ahsan. (2015) "Assessment of Pain Using Facial Pictures Taken with a Smartphone," IEEE Computer Software and Applications Conference (COMPSAC), Taichung, Taiwan, 726-731. (pdf)

C50.

Ronald H. Brown, Steven R. Vitullo, George F. Corliss, Monica Adya, Richard J. Povinelli. (2015) "Detrending Daily Natural Gas Consumption Series to Improve Short-Term Forecasts," IEEE Power and Energy Society General Meeting (PESGM), Denver, Colorado. (pdf)

C49.

Sanzad Siddique, Richard J. Povinelli. (2014) "Learning Energy Demand Domain Knowledge via Feature Transformation," IEEE Power and Energy Society General Meeting (PESGM) National Harbor, Maryland, 1931. (pdf)

C48.

Hermine N. Akouemo , Richard J. Povinelli. (2014) "Time Series Outlier Detection and Imputation," IEEE Power and Energy Society General Meeting (PESGM) National Harbor, Maryland, 1965. (pdf)

C47.

Mohamed A. Mneimneh, Richard J. Povinelli. (2008) "An Electrophysiological Cardiac Model Approach to Measuring T-Wave Alternans," Computers in Cardiology, Bologna, Italy, 613-616. (pdf)

C46.

Mohamed A. Mneimneh, Michael T. Johnson, Richard J. Povinelli. (2008) "A Heart-Cell Model for the Identification of Myocardial Infarction," HEALTHINF 2008 International Conference on Health Informatics, Funchal, Madeira-Portugal, 51-58. (pdf)

C45.

Craig A. Struble, Richard J. Povinelli, Michael T. Johnson, Dina Berchanskiy, Jidong Tao, Marek Trawicki. (2007) "Combined Conditional Random Fields and n-Gram Language Models for Gene Mention Recognition," BioCreative II, Madrid, Spain, 81-83. (pdf)

C44.

Chia-Chou Yeh, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, Nabeel A. O. Demerdash, Richard J. Povinelli, Edwin E. Yaz, Dan M. Ionel.(2007) "A Reconfigurable Motor for Experimental Emulation of Stator Winding Inter-Turn and Broken Bar Faults in Polyphase Induction Machines," IEEE International Electric Machines and Drives Conference (IEMDC2007), Antalya, Turkey, 1413-1419. (pdf)

C43.

Mohamed A. Mneimneh, George F. Corliss, Richard J. Povinelli. (2007) "A Cardiac Electro-physiological Model Based Approach for Filtering High Frequency ECG Noise," Computers in Cardiology, Durham, North Carolina, 253-256. (pdf)

C42.

Mohamed A. Mneimneh, Richard J. Povinelli. (2006) "Integrative Approach for the Measurement of the QT Interval," Computers in Cardiology, Valencia, Spain, 329-332. (pdf)

C41.

Richard J. Povinelli, Mohamed A. Mneimneh, Michael T. Johnson. (2006) "Cardiac Model Based Approach to QT Estimation," Computers in Cardiology, Valencia, Spain, 333-336. (pdf)

C40.

Mohamed A. Mneimneh, Edwin E. Yaz, Michael T. Johnson, Richard J. Povinelli. (2006) "An Adaptive Kalman Filter for Removing Baseline Wandering in ECG Signals," Computers in Cardiology, Valencia, Spain, 253-256. (pdf)

C39.

Anthony D. Ricke, Richard J. Povinelli, Michael T. Johnson. (2005) "Automatic Segmentation of Heart Sound Signals Using Hidden Markov Models," Computers in Cardiology, Lyon, France, 953-956. (pdf)

C38.

Chia Chou Yeh, Behrooz Mirafzal, Richard J. Povinelli, Nabeel A. O. Demerdash. (2005) "A Condition Monitoring Vector Database Approach for Broken Bar Fault Diagnostics of Induction Machines," IEEE International Electric Machines and Drives Conference (IEMDC2005), San Antonio, Texas, 29-34. (pdf)

C37.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson. (2005) "Third-Order Moments of Filtered Speech Signals For Robust Speech Recognition," International Conference on Non-Linear Speech Processing (NOLISP), Barcelona, Spain, 151-157. (pdf)

C36.

Chia Chou Yeh, Richard J. Povinelli, Behrooz Mirafzal, Nabeel A. O. Demerdash. (2004) "Diagnostics of Stator Winding Inter-Turn and Power Conditioner Faults in Induction Machine Inverter-Fed Drive Systems Using Time-Series Data Mining Technique," IEEE International Conference on Power System Technology (Powercon2004), Singapore, 891-896. (pdf)

C35.

Behrooz Mirafzal, Fariba Fateh, Chia Chou Yeh, Richard J. Povinelli, and Nabeel A. O. Demerdash. (2004) "Condition Monitoring of Squirrel-Cage Induction Motors Fed by PWM-Based Drives Using a Parameter Estimation Approach," IEEE International Conference on Power System Technology (Powercon2004), Singapore, 1579-1584. (pdf)

C34.

Felice M. Roberts, Richard J. Povinelli. (2004) "A Statistical Feature Based Approach to Predicting Termination of Atrial Fibrillation," Computers in Cardiology, Chicago, Illinois, 673 - 676. (pdf).

C33.

Michael W. Zimmerman, Richard J. Povinelli. (2004) "On Improving the Classification of Myocardial Ischemia Using Holter ECG Data," Computers in Cardiology, Chicago, Illinois, 377- 380. (pdf)

C32.

Kevin M. Indrebo, Richard J. Povinelli, and Michael T. Johnson. (2004) "A Comparison of Reconstructed Phase Spaces and Cepstral Coefficients for Multi-Band Phoneme Classification," International Conference on Signal Processing (ICSP2004), Beijing, China, 634-637. (pdf)

C31.

Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli. (2004) "Joint Frequency Domain and Reconstructed Phase Space Features for Speech Recognition", International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, vol. I, 533-536. (pdf)

C30.

David H. Diggs, Richard J. Povinelli. (2003) "A Temporal Pattern Approach for Predicting Weekly Financial Time Series," Artificial Neural Networks in Engineering, St. Louis, Missouri, 707-712. (pdf)

C29.

Michele R. Malinowski, Richard J. Povinelli. (2003) "Searching for Non-Sense: Identification of Pacemaker Non-Sense and Non-Capture Failures using Machine Learning Techniques," Computers in Cardiology, Thessaloniki, Greece, 53-56. (pdf)

C28.

Michael W. Zimmerman, Richard J. Povinelli, Michael T. Johnson, Kristina M. Ropella. (2003) "A Reconstructed Phase Space Approach for Distinguishing Ischemic from Non-Ischemic ST Changes using Holter ECG Data," Computers in Cardiology, Thessaloniki, Greece, 243-246. (pdf)

C27.

Felice M. Roberts, Richard J. Povinelli, Kristina M. Ropella. (2003) "Rhythm Classification Using Reconstructed Phase Space Of Signal Frequency Subbands," Computers in Cardiology, Thessaloniki, Greece, 61-64. (pdf)

C26.

Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson. (2003) "A Combined Sub-band and Reconstructed Phase Space Approach to Phoneme Classification," ISCA Tutorial and Research Workshop on Non-linear Speech Processing (NOLISP), Le Croisic, France, 107-110. (pdf)

C25.

Xiaolin Liu, Richard J. Povinelli, Michael T. Johnson. (2003) "Vowel Classification by Global Dynamic Modeling," ISCA Tutorial and Research Workshop on Non-linear Speech Processing (NOLISP), Le Croisic, France, 111-114. (pdf)

C24.

Jinjin Ye, Michael T. Johnson, Richard J. Povinelli. (2003) "Study of Attractor Variation in the Reconstructed Phase Space of Speech Signals," ISCA Tutorial and Research Workshop on Non-linear Speech Processing (NOLISP), Le Croisic, France, 5-10. (pdf)

C23.

Jinjin Ye, Michael T. Johnson, Richard J. Povinelli. (2003) "Phoneme Classification over Reconstructed Phase Space using Principal Component Analysis," ISCA Tutorial and Research Workshop on Non-linear Speech Processing (NOLISP), Le Croisic, France, 11-16. (pdf)

C22.

Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli. (2003) "Speech Recognition using Reconstructed Phase Space Features", International Conference on Acoustics, Speech and Signal Processing, Hong Kong, China, vol. I, 61-63. (pdf)

C21.

Michael T. Johnson, Andrew C. Lindgren, Richard J. Povinelli, Xiaolong Yuan, (2003) "Performance of Nonlinear Speech Enhancement using Phase Space Reconstruction," International Conference on Acoustics, Speech and Signal Processing, Hong Kong, China, vol. I, 872-875. (pdf)

C20.

Richard J. Povinelli, Michael T. Johnson, John F. Bangura, Nabeel A.O. Demerdash. (2002) "A Comparison of Phase Space Reconstruction and Spectral Coherence Approaches for Diagnostics of Bar and End-Ring Connector Breakage and Eccentricity Faults in Polyphase Induction Motors using Current Waveforms," IEEE Industry Applications Society Annual Meetings, 1541-1547. (pdf)

C19.

Xiaolin Liu, Richard J. Povinelli, Michael T. Johnson. (2002) "Detecting Determinism in Speech Phonemes," IEEE Digital Signal Processing Workshop 2002. (pdf)

C18.

Jinjin Ye, Richard J. Povinelli, Michael T. Johnson. (2002) "Phoneme Classification Using Naïve Bayes Classifier in Reconstructed Phase Space," IEEE Digital Signal Processing Workshop 2002. (pdf)

C17.

Richard J. Povinelli, Felice M. Roberts, Kristina M. Ropella, Michael T. Johnson. (2002) "Are Nonlinear Ventricular Arrhythmia Characteristics Lost, As Signal Duration Decreases?" Computers in Cardiology, Memphis, Tennessee, 221-224. (pdf)

C16.

James B. Vitrano, Richard J. Povinelli. (2001) "Selecting Dimensions and Delay Values for a Time-Delay Embedding Using a Genetic Algorithm," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2001), 1423-1430. (pdf)

C15.

Felice M. Roberts, Richard J. Povinelli, Kristina M. Ropella. (2001) "Identification of ECG Arrhythmias using Phase Space Reconstruction," 5th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'01), 411-423. (pdf)

C14.

Minglei Duan, Richard J. Povinelli. (2001) "Nonlinear modeling: Genetic Programming vs. Fast Evolutionary Programming," Artificial Neural Networks in Engineering, Proceedings, 171-176. (pdf)

C13.

Minglei Duan, Richard J. Povinelli. (2001) "Estimating Time Series Predictability Using Genetic Programming," Artificial Neural Networks in Engineering, Proceedings, 215-220. (pdf)

C12.

Patrick Clemins, Richard J. Povinelli. (2001) "Detecting Regimes in Temperature Time Series," Artificial Neural Networks in Engineering, Proceedings, 727-732. (pdf)

C11.

John F. Bangura, Richard J. Povinelli, Nabeel A.O. Demerdash, Ronald H. Brown. (2001) "Diagnostics of Eccentricities and Bar/End-Ring Connector Breakages in Polyphase Induction Motors through a Combination of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Techniques," Conference Record of the 2001 IEEE Industry Applications Conference/ 36th IAS Annual Meeting, 1579-1586. (pdf)

C10.

Minglei Duan, Richard J. Povinelli. (2001) "Estimating Stock Price Predictability Using Genetic Programming," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2001), 174. (pdf)

C9.

Richard J. Povinelli, John F. Bangura, Nabeel A.O. Demerdash, Ronald H. Brown. (2001) "Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors Through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling," Proceedings of the IEEE International Electric Machines and Drives Conference (IEMDC2001), 809-813. (pdf)

C8.

Richard J. Povinelli, John F. Bangura, Nabeel A.O. Demerdash, Ronald H. Brown. (2000) "Diagnostics of Faults in Induction Motor ASDs Using Time-Stepping Coupled Finite Element State-Space and Time Series Data Mining Techniques," Third Naval Symposium on Electric Machines (EM2000) (pdf)

C7.

Richard J. Povinelli. (2000) "Comparing Genetic Algorithms Computational Performance Improvement Techniques," Artificial Neural Networks in Engineering, Proceedings, 305-310. (pdf)

C6.

Richard J. Povinelli, Xin Feng. (2000) "Characterization And Prediction Of Welding Droplet Release Using Time Series Data Mining," Artificial Neural Networks in Engineering, Proceedings, 857-862. (pdf)

C5.

Richard J. Povinelli. (2000) "Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events," Temporal, Spatial and Spatio-Temporal Data Mining: First International Workshop; revised papers / TSDM2000, 46-61. (pdf)

C4.

Richard J. Povinelli. (2000) "Using Genetic Algorithms to Find Temporal Patterns Indicative of Time Series Events," GECCO 2000 Workshop: Data Mining with Evolutionary Algorithms, 80-84. (pdf)

C3.

Richard J. Povinelli, Xin Feng. (1999) "Improving Genetic Algorithms Performance By Hashing Fitness Values" Artificial Neural Networks in Engineering, Proceedings, 399-404. (pdf)

C2.

Richard J. Povinelli, Xin Feng. (1999) "Data Mining of Multiple Nonstationary Time Series" Artificial Neural Networks in Engineering, Proceedings, 511-516. (pdf)

C1.

Richard J. Povinelli, Xin Feng. (1998) "Temporal Pattern Identification of Time Series Data using Pattern Wavelets and Genetic Algorithms" Artificial Neural Networks in Engineering, Proceedings, 691-696. (pdf)

Abstracts (Refereed)

A12.

Masabho P. Milali, Benjamin Durette, Greg Merkel, Maggy Sikulu-Lord, Samson S. Kiware, Floyd Dowell, George F. Corliss, and Richard J. Povinelli. (2019) "Autoencoder and Artificial Neural Networks Applied to Near-infrared Spectra to Estimate Parity Status of Wild An. gambiae s.s and An. arabiensis". American Society of Tropical Medicine & Hygiene Annual Meeting, National Harbor, Maryland. (abstract, poster)

A11.

Colin O. Quinn, Richard J. Povinelli, Jaired R. Collins, and Jake Norment. (2019) "Predicting Natural Gas Pipeline Alarms," International Symposium on Forecasting, Thessaloniki, Greece. (pdf)

A10.

Masabho P. Milali, Benjamin Durette, Greg Merkel, Maggy Sikulu-Lord, Samson S. Kiware, Floyd Dowell, George F. Corliss, Richard J. Povinelli. (2018) "Age Grading Malaria Transmitting Mosquitoes Using Feed Forward Artificial Neural Networks," American Society of Tropical Medicine & Hygiene Annual Meeting, New Orleans, Louisiana. (abstract, poster)

A9.

Gregory Merkel, Richard J. Povinelli. (2018) "To retrain or not to retrain – data cleaning vs. online learning in energy forecasting," International Symposium on Forecasting, Denver, Colorado. (pdf)

A8.

Jarrett Smalley, David Kaftan, Ronald H. Brown, George F. Corliss, Richard J. Povinelli. (2018) "Forecasting Design Day Demand Using Extremal Quantile Regression," International Symposium on Forecasting, Denver, Colorado. (pdf)

A7.

Richard J.Povinelli, Gregory Merkel, Ronald H. Brown. (2017) "Deep Neural Network Regression as a Component of a Forecast Ensemble," International Symposium on Forecasting, Cairns, Australia. (pdf)

A6.

Gregory Merkel, Richard J. Povinelli, Ronald H. Brown. (2017) "Deep Neural Network Regression for Short-Term Load Forecasting of Natural Gas," International Symposium on Forecasting, Cairns, Australia. (pdf)

A5.

David Kaftan, Sarah Graupman, Maral Fakoor, Jarrett Smalley, Ronald H. Brown, George F. Corliss, Richard J. Povinelli. (2017) "Dynamically Ensembling Forecasting Models," International Symposium on Forecasting, Cairns, Australia. (pdf)

A4.

Masabho P. Milali, Samson S. Kiware, Richard J. Povinelli, George F. Corliss, Maggie Sikulu-Lord. (2017) "Comparison Between Age Estimates of Wild Anopheles Arabiensis using NIRS Classification Model and Ovary Dissection (Detinova's Method)," American Society of Tropical Medicine & Hygiene Annual Meeting, Boston, Massachusetts. (abstract, poster)

A3.

Md O. Gani, Taskina Fayezeen, Sheikh I. Ahamed, Richard J. Povinelli. (2016) "Computationally Efficient Human Activity Modeling and Its Application as a Service in Android Application Framework". ACM International Workshop on Mobile Computing Systems and Applications (HotMobile), St. Augustine, Florida. (abstract, poster)

A2.

Masabho P. Milali, Maggy Sikulu-Lord, Samson S. Kiware, Richard J. Povinelli, George F. Corliss. (2016) "Do NIR Spectra Collected from Lab-reared Mosquitoes Differ from those Collected from Wild Mosquitoes?" American Society of Tropical Medicine & Hygiene Annual Meeting, Atlanta, Georgia. (pdf)

A1.

Prachi Pradeep, Richard J. Povinelli, Stephen J Merrill, Serdar Bozdag, Daniel S Sem. (2014) "Novel Metabolic Descriptor Based on Xenobiotic Induced Cytochrome P450 Transcription for Carcinogenicity Prediction," FutureTox II: In Vitro Data and In Silico Models for Predictive Toxicology, Winner of FutureTox II CCT Student/Postdoctoral Recognition, Chapel Hill, North Carolina. (abstract, poster)

Conference (Non-Refereed)

N6.

Colin O. Quinn, Richard J. Povinelli, Jaired R. Collins, and Jake Norment. (2019) "Predicting Natural Gas Pipeline Alarms," International Symposium on Forecasting, Thessaloniki, Greece. (pdf)

N5.

Jarrett Smalley, David Kaftan, Ronald H. Brown, George F. Corliss, Richard J. Povinelli. (2018) "Forecasting Design Day Demand Using Extremal Quantile Regression, " International Symposium on Forecasting, Denver, Colorado. (pdf)

N4.

Richard J. Povinelli, Gregory D. Merkel, Ronald H. Brown. (2017) "Deep Neural Network Regression as a Component of a Forecast Ensemble," International Symposium on Forecasting, Cairns, Australia. (pdf)

N3.

Gregory D. Merkel, Richard J. Povinelli, Ronald H. Brown. (2017) "Deep Neural Network Regression for Short-Term Load Forecasting of Natural Gas," International Symposium on Forecasting, Cairns, Australia. (pdf)

N2.

Ronald H. Brown, David J. Kaftan, Jarrett L. Smalley, Maral Fakoor, Sarah J. Graupman, Richard J. Povinelli, George F. Corliss. (2017) "Improving Daily Natural Gas Forecasting by Tracking and Combining Models," International Symposium on Forecasting, Cairns, Australia. (pdf)

N1.

Richard J. Povinelli. (2000) "Improving Computational Performance of Genetic Algorithms: A Comparison of Techniques" GECCO 2000 Late Breaking Papers, 297-302. (pdf)

Book Reviews

R1.

Richard J. Povinelli. (2004) "Book Review: Foundations of Genetic Programming," Journal of Genetic Programming and Evolvable Machines, vol. 5, no. 3, 319-320. (pdf)

Dissertations and Theses

Richard J. Povinelli. (1999) "Time Series Data Mining: Identifying Temporal Patterns for Characterization and Prediction of Time Series Events," Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)
Minglei Duan. (2002) "Time Series Predictability,"M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Michele R. B. Malinowski. (2003) "Searching for Non-Sense: Identification of Pacemaker Non-Sense and Non-Capture Failures Using Machine Learning Techniques," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Kevin M. Indrebo. (2004) "Sub-banded Reconstructed Phase Spaces for Speech Recognition," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Michael W. Zimmerman. (2004) "Classification of ECG ST Events as Ischemic or Non-Ischemic Using Reconstructed Phase Spaces," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
David H. Diggs. (2004) "Multiple Step Financial Time Series Prediction with Portfolio Optimization," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Aderiano M. da Silva. (2006) "Induction Motor Fault Diagnostic and Monitoring Methods," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Mohamed A. Mneimneh. (2008) “An Electrophysiological Cardiac Model with Applications to Ischemia Detection and Infarction Localization,” Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)
Kevin M. Indrebo. (2008) "Estimation of Cepstral Coefficients for Robust Speech Recognition," Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)
Sanzad Siddique. (2013) "Automation of Energy Demand Forecasting," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Hermine N. Akouemo Kengmo Kenfack. (2015) "Data Cleaning in the Energy Domain," Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)
Gregory D. Merkel. (2017) "Deep Neural Networks as Time Series Forecasters of Energy Demand," M.S. Thesis, Marquette University, Milwaukee, WI. (pdf)
Mohammad Saber. (2017) "Quantifying Forecast Uncertainty in the Energy Domains," Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)
Michele R. B. Malinowski (2018) "An unsupervised cluster: Learning water customer behavior using variation of information on a reconstructed phase space," Ph.D. Dissertation, Marquette University, Milwaukee, WI. (pdf)

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