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ORCIDCharles W. Anderson
Person information
- affiliation: Colorado State University, Department of Computer Science, Fort Collins, CO, USA
- affiliation (PhD 1986): University of Massachusetts, Amherst, MA, USA
Other persons with the same name
- Charles Anderson — disambiguation page
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2020 – today
- 2024
[i8]Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles W. Anderson:
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale. CoRR abs/2406.16955 (2024)- 2023
- [j20]Daniel L. Elliott
, Charles W. Anderson:
The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions. IEEE Trans. Neural Networks Learn. Syst. 34(1): 43-51 (2023) - [c39]Jason Stock, Charles Anderson:
Memory-Based Sequential Attention. Gaze Meets ML 2023: 236-253 - 2022
- [i7]Jason Stock, Chuck Anderson:
Trainable Wavelet Neural Network for Non-Stationary Signals. CoRR abs/2205.03355 (2022) - [i6]Charles Anderson, Jason Stock, David Anderson:
Interpretable Climate Change Modeling With Progressive Cascade Networks. CoRR abs/2205.06351 (2022) - [i5]Jason Stock, Chuck Anderson:
Attention-Based Scattering Network for Satellite Imagery. CoRR abs/2210.12185 (2022) - [i4]Charles W. Anderson, Jason Stock:
An Interpretable Model of Climate Change Using Correlative Learning. CoRR abs/2212.04478 (2022) - 2021
- [j19]Saleh I. Alzahrani, Charles W. Anderson:
A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand. Int. J. Neural Syst. 31(9): 2150036:1-2150036:13 (2021) - [j18]Hossein Shirazi, Bruhadeshwar Bezawada, Indrakshi Ray, Chuck Anderson:
Directed adversarial sampling attacks on phishing detection. J. Comput. Secur. 29(1): 1-23 (2021) - [j17]Andrew G. Barto, Richard S. Sutton, Charles W. Anderson:
Looking Back on the Actor-Critic Architecture. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 40-50 (2021) - [c38]Alperen Tercan, Charles W. Anderson:
Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. IJCNN 2021: 1-8 - 2020
- [j16]Megan Emmons, Anthony A. Maciejewski, Charles Anderson, Edwin K. P. Chong:
Classifying environmental features from local observations of emergent swarm behavior. IEEE CAA J. Autom. Sinica 7(3): 674-682 (2020) - [j15]Daniel L. Elliott, KC Santosh, Charles Anderson:
Gradient boosting in crowd ensembles for Q-learning using weight sharing. Int. J. Mach. Learn. Cybern. 11(10): 2275-2287 (2020) - [j14]V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson:
AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. 1(6): 327 (2020)
2010 – 2019
- 2019
- [c37]Hossein Shirazi, Bruhadeshwar Bezawada, Indrakshi Ray, Charles Anderson:
Adversarial Sampling Attacks Against Phishing Detection. DBSec 2019: 83-101 - [c36]Hossein Shirazi, Indrakshi Ray, Charles Anderson:
Using Machine Learning to Detect Anomalies in Embedded Networks in Heavy Vehicles. FPS 2019: 39-55 - [p1]Stephanie M. Scott, Chris Raftery, Charles Anderson:
Advancing the Rehabilitative and Therapeutic Potential of BCI and Noninvasive Sensing Systems. Brain Art 2019: 327-354 - [i3]V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson:
AI Assisted Annotator using Reinforcement Learning. CoRR abs/1910.02052 (2019) - 2018
- [c35]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:
Networked by Design: Interventions for Teachers to Develop Social Capital. ICLS 2018 - 2017
- [c34]Minwoo Lee, Charles W. Anderson:
Can a reinforcement learning agent practice before it starts learning? IJCNN 2017: 4006-4013 - 2016
- [c33]Awad A. Younis, Yashwant K. Malaiya, Charles Anderson, Indrajit Ray:
To Fear or Not to Fear That is the Question: Code Characteristics of a Vulnerable Functionwith an Existing Exploit. CODASPY 2016: 97-104 - [c32]Minwoo Lee, Charles W. Anderson:
Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space. ICMLA 2016: 774-779 - [i2]Nancy M. Amato, Charles Anderson, Gregory S. Chirikjian, Hamidreza Chitsaz, Vishnu R. Desaraju, Chinwe Ekenna, Kris K. Hauser, Geoffrey A. Hollinger, Reza Iraji, Minwoo Lee, Qianli Ma, Seth McCammon, Nathan Michael, Shawna L. Thomas, Diane Uwacu, Yan Yan:
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016). CoRR abs/1610.02573 (2016) - 2015
- [j13]Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson:
Failure-resilient real-time processing of health streams. Concurr. Comput. Pract. Exp. 27(7): 1695-1717 (2015) - [c31]Sudeep Pasricha, Viney Ugave, Charles W. Anderson, Qi Han:
LearnLoc: A framework for smart indoor localization with embedded mobile devices. CODES+ISSS 2015: 37-44 - [c30]Charles W. Anderson, Minwoo Lee, Daniel L. Elliott:
Faster reinforcement learning after pretraining deep networks to predict state dynamics. IJCNN 2015: 1-7 - [i1]Reinaldo Uribe Muriel, Fernando Lozano, Charles Anderson:
Optimal Nudging: Solving Average-Reward Semi-Markov Decision Processes as a Minimal Sequence of Cumulative Tasks. CoRR abs/1504.05122 (2015) - 2014
- [j12]Brad K. Donohoo, Chris Ohlsen, Sudeep Pasricha, Yi Xiang, Charles Anderson:
Context-Aware Energy Enhancements for Smart Mobile Devices. IEEE Trans. Mob. Comput. 13(8): 1720-1732 (2014) - [c29]Daniel L. Elliott, Charles Anderson:
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning. ADPRL 2014: 1-8 - [c28]Minwoo Lee, Charles W. Anderson:
Convergent reinforcement learning control with neural networks and continuous action search. ADPRL 2014: 1-8 - [c27]Rehab Ashari, Charles Anderson:
EEG subspace analysis and classification using principal angles for Brain-Computer Interfaces. CIBCI 2014: 57-63 - 2013
- [j11]Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu:
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24(1): 1-7 (2013) - 2012
- [c26]Brad K. Donohoo, Chris Ohlsen, Sudeep Pasricha, Charles Anderson:
Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems. DAC 2012: 1278-1283 - [c25]Tadanori Fukami, Takamasa Shimada, Elliott M. Forney, Charles W. Anderson:
EEG character identification using stimulus sequences designed to maximize mimimal hamming distance. EMBC 2012: 1782-1785 - 2011
- [c24]Reinaldo Uribe, Fernando Lozano, Katsunari Shibata, Charles Anderson:
Discount and speed/execution tradeoffs in Markov Decision Process games. CIG 2011: 79-86 - [c23]Zach Cashero, Chuck Anderson:
Comparison of EEG blind source separation techniques to improve the classification of P300 trials. EMBC 2011: 7183-7186 - [c22]Elliott M. Forney, Charles W. Anderson:
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. IJCNN 2011: 2749-2755 - [c21]Minwoo Lee, Charles W. Anderson, Mark DeMaria:
Hurricane Prediction with Python. SciPy 2011: 58-62 - 2010
- [j10]Carol A. Seger, Erik J. Peterson, Corinna M. Cincotta, Dan Lopez-Paniagua, Charles W. Anderson:
Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling. NeuroImage 50(2): 644-656 (2010) - [c20]Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sanjay V. Rajopadhye, Charles Anderson, Alexandre E. Eichenberger, Kevin O'Brien:
Automatic creation of tile size selection models. CGO 2010: 190-199 - [c19]Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson:
Analyzing Electroencephalograms Using Cloud Computing Techniques. CloudCom 2010: 185-192
2000 – 2009
- 2008
- [j9]André da Motta Salles Barreto, Charles W. Anderson:
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning. Artif. Intell. 172(4-5): 454-482 (2008) - [j8]Michael Anderson, Michael R. Buehner, Peter Michael Young, Douglas C. Hittle, Charles Anderson, Jilin Tu, David Hodgson:
MIMO Robust Control for HVAC Systems. IEEE Trans. Control. Syst. Technol. 16(3): 475-483 (2008) - 2007
- [j7]Charles W. Anderson, Peter Michael Young, Michael R. Buehner, James N. Knight, K. A. Bush, Douglas C. Hittle:
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. IEEE Trans. Neural Networks 18(4): 993-1002 (2007) - 2005
- [j6]David A. Peterson, James N. Knight, Michael J. Kirby, Charles W. Anderson, Michael H. Thaut:
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface. EURASIP J. Adv. Signal Process. 2005(19): 3128-3140 (2005) - [j5]Keith Bush, James F. Knight, Charles Anderson:
Optimizing conductance parameters of cortical neural models via electrotonic partitions. Neural Networks 18(5-6): 488-496 (2005) - 2003
- [c18]Charles W. Anderson, Michael J. Kirby:
EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces. CVPR Workshops 2003: 51 - 2002
- [j4]Tom Chen, Andre Bai, Amjad Hajjar, Anneliese Amschler Andrews, Charles Anderson:
Fast Anti-Random (FAR) Test Generation to Improve the Quality of Behavioral Model Verification. J. Electron. Test. 18(6): 583-594 (2002) - [c17]Michael L. Anderson, Peter Michael Young, Douglas C. Hittle, Charles Anderson, Jililn Tu, David Hodgson:
MIMO robust control for heating, ventilating and air conditioning (HVAC) systems. CDC 2002: 167-172 - 2001
- [c16]R. Matthew Kretchmar, Peter Michael Young, Charles W. Anderson, Douglas C. Hittle, Michael L. Anderson, Christopher C. Delnero:
Robust reinforcement learning control. ACC 2001: 902-907 - 2000
- [c15]Anneliese von Mayrhauser, Tom Chen, Jan Kok, Chuck Anderson, Anita Read, Amjad Hajjar:
On choosing test criteria for behavioral level hardware design verification. HLDVT 2000: 124-130 - [c14]Charles W. Anderson, Bruce A. Draper, David A. Peterson:
Behavioral Cloning of Student Pilots with Modular Neural Networks. ICML 2000: 25-32 - [c13]Tom Chen, Anneliese von Mayrhauser, Amjad Hajjar, Charles Anderson, Mehmet Sahinoglu:
Achieving the Quality of Verification for Behavioral Models with Minimum Effort. ISQED 2000: 234-
1990 – 1999
- 1999
- [c12]Tom Chen, Anneliese von Mayrhauser, Amjad Hajjar, Charles Anderson, Mehmet Sahinoglu:
How Much Testing is Enough? Applying Stopping Rules to Behavioral Model Testing. HASE 1999: 249-256 - [c11]Charles W. Anderson:
Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis. IWANN (2) 1999: 228-237 - [c10]David A. Peterson, Charles W. Anderson:
EEG-based Cognitive Task Classification with ICA and Neural Networks. IWANN (2) 1999: 265-272 - [c9]R. Matthew Kretchmar, Charles W. Anderson:
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning. IWANN (1) 1999: 488-496 - 1998
- [c8]Anneliese von Mayrhauser, Andre Bai, Tom Chen, Charles Anderson, Amjad Hajjar:
Fast Antirandom (FAR) Test Generation. HASE 1998: 262-269 - 1997
- [j3]Charles W. Anderson, Douglas C. Hittle, Alon D. Katz, R. Matthew Kretchmar:
Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil. Artif. Intell. Eng. 11(4): 421-429 (1997) - [c7]R. Matthew Kretchmar, Charles W. Anderson:
Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning. ICNN 1997: 834-837 - [c6]Mark R. Stevens, Charles W. Anderson, J. Ross Beveridge:
Efficient indexing for object recognition using large networks. ICNN 1997: 1454-1458 - 1996
- [c5]Charles Anderson, Anneliese von Mayrhauser, Tom Chen:
Assessing Neural Networks as Guides for Testing Activities. IEEE METRICS 1996: 155-165 - 1995
- [j2]Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz:
Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks. Sci. Program. 4(3): 171-183 (1995) - [c4]Charles Anderson, Anneliese von Mayrhauser, Richard T. Mraz:
On the Use of Neural Networks to Guide Software Testing Activities. ITC 1995: 720-729 - 1994
- [c3]Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz:
EEG as a means of communication: preliminary experiments in EEG analysis using neural networks. ASSETS 1994: 141-147 - 1992
- [c2]Charles W. Anderson:
Q-Learning with Hidden-Unit Restarting. NIPS 1992: 81-88
1980 – 1989
- 1989
- [c1]Charles W. Anderson:
Tower of Hanoi with Connectionist Networks: Learning New Features. ML 1989: 345-349 - 1983
- [j1]Andrew G. Barto, Richard S. Sutton, Charles W. Anderson:
Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 13(5): 834-846 (1983)
Coauthor Index
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