P. Tschirhart, A. Duda, and K. Segall, “Architecture Considerations for Superconducting Neuromorphic Systems: Programmability, Scalability, Area, and Latency”, 2020 29th Applied Superconductivity Conference (Special Session on Novel Computing – Reversible and Neuromorphic), 2020, pp. 1 - 21.
[6]
A. Duda, "Towards a Neocortically-Inspired Ab Initio Cellular Model of Associative Memory", PhD dissertation, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, 2015, URI: http://hdl.handle.net/2142/78735. URI
[5]
A. M. Duda and S. E. Levinson, "Information-Preserving Transforms: Two Graph Metrics for Simulated Spiking Neural Networks", Procedia Computer Science, vol. 20, 2013, pp. 14 - 21, URI: https://doi.org/10.1016/j.procs.2013.09.232.URI
[4]
A. M. Duda and S. E. Levinson, "Complex Networks of Spiking Neurons: Collective Behavior Characterization", 2011 Eighth International Conference on Complex Systems, Quincy, MA, 2011, pp. 1627 - 1629, URI: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5105, (Best Poster Award Winner).URI
[3]
A. M. Duda and S. E. Levinson, "Characterizing Populations of Spiking Neurons", 2011 Fifteenth International Conference on Cognitive and Neural Systems, Boston, MA, 2011, pp. 87, URI: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.5105.URI
[2]
A. M. Duda and S. E. Levinson, "Nonlinear Dynamical Multi-Scale Model of Associative Memory", 2010 Ninth International Conference on Machine Learning and Applications, Washington, DC, 2010, pp. 867 - 872, URI: http://dx.doi.org/10.1109/ICMLA.2010.135, (Best Poster Award Nominee).URI
[1]
L. Majure, L. Niehaus, A. Duda, A. Silver, L. Wendt, and S. Levinson, "Integrating Language and Motor Function on a Humanoid Robot", 2010 Twenty Third IEEE/RSJ International Conference on Intelligent Robots and Systems, RobotCub Workshop, 2010, pp. 1 - 5, URI: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.9064.URI
Selected Tech Reports
Machine Learning
[3]
A. Duda, "Some Brief Notes on Ensemble Methods: AdaBoost, Random Forest, and Gradient Boosting", Tech. Rep., 2020, p. 1 - 6.PDF
[2]
A. Duda, "Ensemble Methods for High Dimensional Data: Primary Considerations for a Principled, Advanced, Approach", NGMS, Baltimore, MD, Tech. Rep., 2019, pp. 1 - 4.
[1]
A. Duda, "DARPA SAGA - Recommendations and Insights", NGES, Linthicum, MD, Tech. Rep., 2017, pp. 1 - 7.
Natural Language Processing
[3]
A. Duda, "HMM as Building Block in Models of Brain, Language, and Mind", Beckman Institute, Urbana, IL, Tech. Rep., 2013, pp. 1 - 6.PDF
[2]
A. Duda, "The Importance of Being Parsed", Beckman Institute, Urbana, IL, Tech. Rep., 2013, pp. 1 - 14.PDF
[1]
A. Duda, "Symbols ⇔ Models", Beckman Institute, Urbana, IL, Tech. Rep., 2013, pp. 1 - 45.PDF
Neural Cognitive Machine Intelligence
[3]
A. Duda, "From Natural Intelligence to Machine Intelligence: Augmented Cattell-Horn-Carroll (CHC) Theory of Cognitive Abilities as Framework for Progress", NGMS, Baltimore, MD, Tech. Rep., 2019, pp. 1 - 12.
[2]
A. Duda, "Towards A More Natural Machine Intelligence: For Those Looking to Enhance Machines with Neuroscience", NGMS, Baltimore, MD, Tech. Rep., 2019, pp. 1 - 22.
[1]
A. Cobb, A. Duda, S. Kelly, J. Shepanski, and G. Tseng, "Biologically Inspired Processing and Sensing (BIPS) Group Founding Whitepaper ", NGAS, Space Park, CA, Tech. Rep., 2015, pp. 1 - 75.
Next-Generation Hardware for Big Data Processing, Machine Intelligence, etc
[3]
A. Duda, "Towards a Streaming Analytics Platform: Hardware Considerations, Predictions, and Recommendations", NGIS, Annapolis Junction, MD, Tech. Rep., 2015, pp. 1 - 23.
[2]
A. Duda, "Memristors in Big Data", NGIS, Annapolis Junction, MD, Tech. Rep., 2015, pp. 1 – 35.
[1]
A. Duda, "Important Opportunities for M2M/IoT in 2020", NGIS, Annapolis Junction, MD, Tech. Rep., 2014, pp. 1 - 3.
Sensor Resource Management
[3]
A. Duda, "SRM Technology Readiness Demo Assessment and Recommendations", NGMS, Baltimore, MD, Tech. Rep., 2018, pp. 1 - 6.
[2]
A. Duda and C. Lefler, "Interest-Level Assessor: A Holistic, Contextual, Approach", NGMS, Baltimore, MD, Tech. Rep., 2018, pp. 1 - 18.
[1]
A. Duda and C. Lefler, "Command Selection for Real Benefit: Short Time-Horizon Capability Command Down-Selector", NGMS, Baltimore, MD, Tech. Rep., 2018, pp. 1 - 12.
Signal Processing
[1]
A. Duda, "Over the channel and through the noise: A Study in Adaptive Filter Design with DFE", Beckman Institute, Urbana, IL, Tech. Rep., 2011, pp. 1 - 6.PDF
Spiking Neural Networks
[6]
A. Duda, "Embodied Adaptive Spiking Neural Networks: Emergent Weighted Directed Graph Structure and its Applicability to Novelty Detection", NGAS, Space Park, CA, Tech. Rep., 2016, pp. 1 - 34.
[5]
A. Duda, "Desirable Features of a Neocortically-Inspired Ab Initio Model of Associative Memory", Beckman Institute, Urbana, IL, Tech. Rep., 2012, pp. 1 - 86.PDF
[4]
A. Duda, "NeuroXyce Synapse Device with STDP and Stochastic Transmission Reliability", Beckman Institute, Urbana, IL, Tech. Rep., 2012, pp. 1 - 11.PDF
[3]
R. Schiek, C. Warrender, C. Teeter, J. Aimone, H. Thornquist, T. Mei, and A. Duda, "Simulating neural systems with Xyce", Sandia National Laboratories, Albuquerque, NM, Tech. Rep., 2012, pp. 1 - 78, URI: https://doi.org/10.2172/1096952.URI
[2]
A. Duda, "Multimodal Memory Encoding with Large Populations of Spiking Neurons", Beckman Institute, Urbana, IL, Tech. Rep., 2010, pp. 1 - 76.PDF
[1]
A. Duda, "Simulink Implementation of Hodgkin-Huxley Spiking Neuron Model", Beckman Institute, Urbana, IL, Tech. Rep., 2010, pp. 1 - 15.PDF
Synthetic Data Generation
[1]
A. Duda, "Synthetic Data Generator (sdg) for Improved Deep Learning Based Object Detectors", NGMS, Baltimore, MD, Tech. Rep., 2020, pp. 1 - 10.
Selected Protégé Publications
[1]
F. Wang, "Implementation and Analysis of an AB Initio Multi-Scale Model of Associative Memory", Senior thesis, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, 2011, URI: http://hdl.handle.net/2142/46969.URI