Charles W. Anderson

38 papers A* 1A 1B 4C 3Misc 1Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson
2023	J	`jnl`	The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions. IEEE Trans. Neural Networks Learn. Syst. Daniel L. Elliott, Charles W. Anderson
2022	J	`jnl`	An Interpretable Model of Climate Change Using Correlative Learning. CoRR Charles W. Anderson, Jason Stock
2021	J	`jnl`	A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand. Int. J. Neural Syst. Saleh I. Alzahrani, Charles W. Anderson
2021	B	`conf`	Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. IJCNN Alperen Tercan, Charles W. Anderson
2021	J	`jnl`	Looking Back on the Actor-Critic Architecture. IEEE Trans. Syst. Man Cybern. Syst. Andrew G. Barto, Richard S. Sutton, Charles W. Anderson
2020	J	`jnl`	AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson
2019	J	`jnl`	AI Assisted Annotator using Reinforcement Learning. CoRR V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
2018	—	`conf`	Networked by Design: Interventions for Teachers to Develop Social Capital. ICLS Susan A. Yoon, Charles W. Anderson, Kira J. Baker-Doyle, Maarten de Laat, Elizabeth Xeng de los Santos, Kenneth A. Frank, Megan Hopkins, Qinyun Lin, Stefanie Marshall, Katie A. Miller, Femke Nijland, William R. Penuel, Matthew Shirrell, Rafi Santo, Bieke Schreurs, James P. Spillane, Daniël van Amersfoort, Latricia Chanel Whitfield
2017	B	`conf`	Can a reinforcement learning agent practice before it starts learning? IJCNN Minwoo Lee, Charles W. Anderson
2016	C	`conf`	Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space. ICMLA Minwoo Lee, Charles W. Anderson
2015	J	`jnl`	Failure-resilient real-time processing of health streams. Concurr. Comput. Pract. Exp. Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson
2015	B	`conf`	Faster reinforcement learning after pretraining deep networks to predict state dynamics. IJCNN Charles W. Anderson, Minwoo Lee, Daniel L. Elliott
2015	Misc	`conf`	LearnLoc: A framework for smart indoor localization with embedded mobile devices. CODES+ISSS Sudeep Pasricha, Viney Ugave, Charles W. Anderson, Qi Han
2014	—	`conf`	Convergent reinforcement learning control with neural networks and continuous action search. ADPRL Minwoo Lee, Charles W. Anderson
2012	—	`conf`	EEG character identification using stimulus sequences designed to maximize mimimal hamming distance. EMBC Tadanori Fukami, Takamasa Shimada, Elliott M. Forney, Charles W. Anderson
2011	B	`conf`	Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. IJCNN Elliott M. Forney, Charles W. Anderson
2011	—	`conf`	Hurricane Prediction with Python. SciPy Minwoo Lee, Charles W. Anderson, Mark DeMaria
2010	C	`conf`	Analyzing Electroencephalograms Using Cloud Computing Techniques. CloudCom Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson
2010	J	`jnl`	Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling. NeuroImage Carol A. Seger, Erik J. Peterson, Corinna M. Cincotta, Dan Lopez-Paniagua, Charles W. Anderson
2008	J	`jnl`	Restricted gradient-descent algorithm for value-function approximation in reinforcement learning. Artif. Intell. André da Motta Salles Barreto, Charles W. Anderson
2007	J	`jnl`	Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. IEEE Trans. Neural Networks Charles W. Anderson, Peter Michael Young, Michael R. Buehner, James N. Knight, K. A. Bush, Douglas C. Hittle
2005	J	`jnl`	Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface. EURASIP J. Adv. Signal Process. David A. Peterson, James N. Knight, Michael J. Kirby, Charles W. Anderson, Michael H. Thaut
2003	—	`conf`	EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces. CVPR Workshops Charles W. Anderson, Michael J. Kirby
2001	C	`conf`	Robust reinforcement learning control. ACC R. Matthew Kretchmar, Peter Michael Young, Charles W. Anderson, Douglas C. Hittle, Michael L. Anderson, Christopher C. Delnero
2000	A*	`conf`	Behavioral Cloning of Student Pilots with Modular Neural Networks. ICML Charles W. Anderson, Bruce A. Draper, David A. Peterson
1999	—	`conf`	EEG-based Cognitive Task Classification with ICA and Neural Networks. IWANN (2) David A. Peterson, Charles W. Anderson
1999	—	`conf`	Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis. IWANN (2) Charles W. Anderson
1999	—	`conf`	Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning. IWANN (1) R. Matthew Kretchmar, Charles W. Anderson
1998	J	`jnl`	Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks. IEEE Trans. Biomed. Eng. Charles W. Anderson, Erik A. Stolz, Sanyogita Shamsunder
1997	—	`conf`	Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning. ICNN R. Matthew Kretchmar, Charles W. Anderson
1997	—	`conf`	Efficient indexing for object recognition using large networks. ICNN Mark R. Stevens, Charles W. Anderson, J. Ross Beveridge
1997	J	`jnl`	Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil. Artif. Intell. Eng. Charles W. Anderson, Douglas C. Hittle, Alon D. Katz, R. Matthew Kretchmar
1995	J	`jnl`	Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks. Sci. Program. Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz
1994	A	`conf`	EEG as a means of communication: preliminary experiments in EEG analysis using neural networks. ASSETS Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz
1992	—	`conf`	Q-Learning with Hidden-Unit Restarting. NIPS Charles W. Anderson
1989	—	`conf`	Tower of Hanoi with Connectionist Networks: Learning New Features. ML Charles W. Anderson
1983	J	`jnl`	Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. Andrew G. Barto, Richard S. Sutton, Charles W. Anderson