Visible to the public Biblio

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V. Martin, A. Coulaby, N. Schaff, C. C. Tan, S. Lin.  2014.  Bandwidth Prediction on a WiMAX Network. 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems. :708-713.
Hemmings, Matthew, McGeer, Rick, Ricart, Glenn, Stege, Ulrike.  2016.  Base64Geo: an efficient data structure and transmission format for large, dense, scalar GIS datasets. Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering. :106–115.
Jan Reineke, Stavros Tripakis.  2014.  Basic Problems in Multi-View Modeling. Tools and Algorithms for the Construction and Analysis of Systems - 20th International Conference, {TACAS} 2014, Held as Part of the European Joint Conferences on Theory and Practice of Software, {ETAPS} 2014, Grenoble, France, April 5-13, 2014. Proceedin. :217–232.
Peter Jones, Sanjoy K. Mitter, Venkatesh Saligrama.  2012.  Bayesian filtering without an observation model. Proceedings of the 51th {IEEE} Conference on Decision and Control, {CDC} 2012, December 10-13, 2012, Maui, HI, {USA}. :3496–3501.
Amit Levy, James Hong, Laurynas Riliskis, Philip Levis, Keith Winstein.  2016.  Beetle: Flexible Communication for Bluetooth Low Energy. {Proceedings of the 14th International Conference on Mobile Systems, Applications and Services (MobiSys)}.
Pierre{-}Marc Jodoin, Venkatesh Saligrama, Janusz Konrad.  2012.  Behavior Subtraction. {IEEE} Trans. Image Processing. 21:4244–4255.
Abbas, Houssam, Jang, Kuk Jin, Mangharam, Rahul.  2016.  Benchmark: Nonlinear Hybrid Automata Model of Excitable Cardiac Tissue. Applied Verification for Continuous and Hybrid Systems.
Weerakkody, Sean, Ozel, Omur, Sinopoli, Bruno.  2017.  A Bernoulli-Gaussian Physical Watermark for Detecting Integrity Attacks in Control Systems. 55th Annual Allerton Conference on Communication, Control, and Computing.
Hou, Piqi, Ye, Zhihang, Chen, Zheng.  2016.  Bio-inspired robotic fish propelled by multiple artificial fins. ASME 2016 Dynamic Systems and Control Conference. :V001T03A005–V001T03A005.
W. S. Grant, J. Tanner, L. Itti.  2017.  Biologically plausible learning in neural networks with modulatory feedback. Neural Networks. 88:32-48.

Although Hebbian learning has long been a key component in understanding neural plasticity, it has not yet been successful in modeling modulatory feedback connections, which make up a significant portion of connections in the brain. We develop a new learning rule designed around the complications of learning modulatory feedback and composed of three simple concepts grounded in physiologically plausible evidence. Using border ownership as a prototypical example, we show that a Hebbian learning rule fails to properly learn modulatory connections, while our proposed rule correctly learns a stimulus-driven model. To the authors' knowledge, this is the first time a border ownership network has been learned. Additionally, we show that the rule can be used as a drop-in replacement for a Hebbian learning rule to learn a biologically consistent model of orientation selectivity, a network which lacks any modulatory connections. Our results predict that the mechanisms we use are integral for learning modulatory connections in the brain and furthermore that modulatory connections have a strong dependence on inhibition.

Shang-Li Wu, Homayoon Kazerooni.  2017.  Biomechanical Design of a Mechanical Exoskeleton Knee. IEEE/RSJ International Conference on Intelligent Robots and Systems.
Arney, David, Venkatasubramanian, Krishna K, Sokolsky, Oleg, Lee, Insup.  2011.  Biomedical devices and systems security. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :2376–2379.