Eric A. Wan - RankMe

34 papers A 1B 3C 2Misc 6Journal 7Unranked 15

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. IEEE J. Biomed. Health Informatics Clara Mosquera-Lopez, Eric A. Wan, Mahesh C. Shastry, Jonathon Folsom, Joseph Leitschuh, John Condon, Uma Rajhbeharrysingh, Andrea Hildebrand, Michelle Cameron, Peter G. Jacobs
2016	—	`conf`	Context-aware fall detection using inertial sensors and time-of-flight transceivers. EMBC Mahesh C. Shastry, Meysam Asgari, Eric A. Wan, Joseph Leitschuh, Nicholas Preiser, Jon Folsom, John Condon, Michelle Cameron, Peter G. Jacobs
2015	—	`conf`	Multi-resident identification using device-free IR and RF fingerprinting. EMBC Erich R. Schafermeyer, Eric A. Wan, Shadman Samin, Noah Zentzis, Nicholas Preiser, John Condon, Jon Folsom, Peter G. Jacobs
2014	—	`conf`	Measuring in-home walking speed using wall-mounted RF transceiver arrays. EMBC Peter G. Jacobs, Eric A. Wan, Erich Schafermeyer, Fatema Adenwala, Anindya Sao Paul, Nick Preiser, Jeffrey A. Kaye
2014	Misc	`conf`	MobileRF: a robust device-free tracking system based on a hybrid neural network HMM classifier. UbiComp Anindya Sao Paul, Eric A. Wan, Fatema Adenwala, Erich Schafermeyer, Nick Preiser, Jeffrey A. Kaye, Peter G. Jacobs
2010	C	`conf`	A tag-free solution to unobtrusive indoor tracking using wall-mounted ultrasonic transducers. IPIN Eric A. Wan, Anindya Sao Paul
2010	J	`jnl`	Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother. EURASIP J. Adv. Signal Process. Sunghan Kim, Anindya Sao Paul, Eric A. Wan, James McNames
2009	J	`jnl`	RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers. IEEE J. Sel. Top. Signal Process. Anindya Sao Paul, Eric A. Wan
2008	Misc	`conf`	A new formulation for nonlinear forward-backward smoothing. ICASSP Anindya Sao Paul, Eric A. Wan
2006	—	`conf`	Noise Reduction for Heart Sounds Using a Modified Minimum-Mean Squared Error Estimator with ECG Gating. EMBC Anindya Sao Paul, Eric A. Wan, Alex T. Nelson
2005	B	`conf`	Dual Kalman filters for autonomous terrain aided navigation in unknown environments. IJCNN Anindya Sao Paul, Eric A. Wan
2004	—	`conf`	SDRE flight control for X-Cell and R-Max autonomous helicopters. CDC Alexander A. Bogdanov, Eric A. Wan, Geoff Harvey
2003	—	`conf`	Gaussian mixture sigma-point particle filters for sequential probabilistic inference in dynamic state-space models. ICASSP (6) Rudolph van der Merwe, Eric A. Wan
2003	A	`conf`	Perceptual wavelet adaptive denoising of speech. INTERSPEECH Qiang Fu, Eric A. Wan
2001	B	`conf`	Efficient derivative-free Kalman filters for online learning. ESANN Rudolph van der Merwe, Eric A. Wan
2001	C	`conf`	Model predictive neural control with applications to a 6 DOF helicopter model. ACC Eric A. Wan, Alexander A. Bogdanov
2001	Misc	`conf`	The square-root unscented Kalman filter for state and parameter-estimation. ICASSP Rudolph van der Merwe, Eric A. Wan
2000	—	`conf`	The Unscented Particle Filter. NIPS Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan
1999	—	`conf`	Dual Estimation and the Unscented Transformation. NIPS Eric A. Wan, Rudolph van der Merwe, Alex T. Nelson
1999	—	`conf`	Noise-regularized adaptive filtering for speech enhancement. EUROSPEECH Eric A. Wan, Rudolph van der Merwe
1998	Misc	`conf`	Removal of noise from speech using the dual EKF algorithm. ICASSP Eric A. Wan, Alex T. Nelson
1997	—	`conf`	Combining fossil and sunspot data: committee predictions. ICNN Eric A. Wan
1997	—	`conf`	Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. Summer School on Neural Networks Eric A. Wan, Françoise Beaufays
1997	—	`conf`	Neural speech enhancement using dual extended Kalman filtering. ICNN Alex T. Nelson, Eric A. Wan
1996	Misc	`conf`	Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms. ICASSP Eric A. Wan
1996	J	`jnl`	Diagrammatic Derivation of Gradient Algorithms for Neural Networks. Neural Comput. Eric A. Wan, Françoise Beaufays
1996	—	`conf`	Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation. NIPS Eric A. Wan, Alex T. Nelson
1995	—	`conf`	Beyond NYQUIST: towards the recovery of broad-bandwidth speech from narrow-bandwidth speech. EUROSPEECH Carlos Avendaño, Hynek Hermansky, Eric A. Wan
1995	Misc	`conf`	Speech enhancement based on temporal processing. ICASSP Hynek Hermansky, Eric A. Wan, Carlos Avendaño
1994	J	`jnl`	Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity. Neural Comput. Françoise Beaufays, Eric A. Wan
1993	J	`jnl`	Discrete time neural networks. Appl. Intell. Eric A. Wan
1993	—	`conf`	Learning algorithms for adaptive processing and control. ICNN Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello
1990	J	`jnl`	Neural network classification: a Bayesian interpretation. IEEE Trans. Neural Networks Eric A. Wan
1990	B	`conf`	Temporal backpropagation for FIR neural networks. IJCNN Eric A. Wan