default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChristopher J. Rozell
Christopher John Rozell – Christopher Rozell
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles:
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. J. Mach. Learn. Res. 25: 59:1-59:44 (2024)- [j36]Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell:
Manifold Contrastive Learning with Variational Lie Group Operators. Trans. Mach. Learn. Res. 2024 (2024) - [i24]Noga Mudrik, Eva Yezerets, Yenho Chen, Christopher Rozell, Adam S. Charles:
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability. CoRR abs/2404.18267 (2024) - [i23]Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam S. Charles, Christopher J. Rozell:
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics. CoRR abs/2408.16862 (2024) - 2023
- [j35]Marissa Catherine Connor, Kion Fallah, Christopher John Rozell
:
Learning Identity-Preserving Transformations on Data Manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [j34]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - [c52]Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, Shlok Natarajan, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell:
Physiological Markers Reveal Confounding Effects of Apprehension and Habituation During Stress Protocol. BSN 2023: 1-4 - [c51]Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Shlok Natarajan, Michael Chan, Mohammad Nikbakht, David Jimmy Lin, J. Douglas Bremner, Jin-Oh Hahn, Omer T. Inan, Christopher J. Rozell:
Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation. EMBC 2023: 1-4 - [c50]Elif Ceren Fitoz, Sankaraleengam Alagapan, Allison C. Waters, Vineet Tiruvadi, Ashan Veerakumar, Mosadoluwa Obatusin, Ki Sueng Choi, Andrea Crowell, Patricio Riva-Posse, Robert J. Butera, Helen S. Mayberg, Christopher Rozell:
Exploration of acute effects of stimulation frequency on subcallosal cingulate dynamics in SCC DBS. NER 2023: 1-4 - [i22]Marissa Connor, Bruno A. Olshausen, Christopher Rozell:
Learning Internal Representations of 3D Transformations from 2D Projected Inputs. CoRR abs/2303.17776 (2023) - [i21]Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah:
PrefGen: Preference Guided Image Generation with Relative Attributes. CoRR abs/2304.00185 (2023) - [i20]Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher J. Rozell:
Manifold Contrastive Learning with Variational Lie Group Operators. CoRR abs/2306.13544 (2023) - [i19]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher Rozell:
Distance preservation in state-space methods for detecting causal interactions in dynamical systems. CoRR abs/2308.06855 (2023) - 2022
- [j33]Arish Alreja, Ilya Nemenman, Christopher J. Rozell:
Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices. PLoS Comput. Biol. 18(1) (2022) - [c49]Asim Hossain Gazi, Anna B. Harrison, Tamara P. Lambert, Malik Obideen, Justine W. Welsh, Viola Vaccarino, Amit J. Shah, Sudie E. Back, Christopher J. Rozell, J. Douglas Bremner, Omer T. Inan:
Transcutaneous Cervical Vagus Nerve Stimulation Reduces Respiratory Variability in the Context of Opioid Withdrawal. BHI 2022: 1-4 - [c48]Kion Fallah, Christopher J. Rozell:
Variational Sparse Coding with Learned Thresholding. ICML 2022: 6034-6058 - [i18]Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah:
Oracle Guided Image Synthesis with Relative Queries. CoRR abs/2204.14189 (2022) - [i17]Kion Fallah, Christopher J. Rozell:
Variational Sparse Coding with Learned Thresholding. CoRR abs/2205.03665 (2022) - [i16]Noga Mudrik, Yenho Chen, Eva Yezerets, Christopher J. Rozell, Adam S. Charles:
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. CoRR abs/2206.02972 (2022) - [i15]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - 2021
- [j32]Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher Rozell, Justin Romberg, Michael P. Flynn:
A 17.8-MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network. IEEE J. Solid State Circuits 56(3): 834-843 (2021) - [j31]Nicholas P. Bertrand, John Lee, Keith F. Prussing, Samuel A. Shapero, Christopher J. Rozell:
Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization. IEEE Geosci. Remote. Sens. Lett. 18(12): 2072-2076 (2021) - [j30]Jonathan Zia, Jacob Kimball, Christopher Rozell, Omer T. Inan:
Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage. IEEE Trans. Biomed. Eng. 68(6): 1759-1767 (2021) - [c47]Gregory Canal, Matthieu R. Bloch, Christopher Rozell:
Feedback Coding for Active Learning. AISTATS 2021: 1468-1476 - [c46]Marissa Connor, Gregory Canal, Christopher Rozell:
Variational Autoencoder with Learned Latent Structure. AISTATS 2021: 2359-2367 - [i14]Gregory Canal, Matthieu R. Bloch, Christopher Rozell:
Feedback Coding for Active Learning. CoRR abs/2103.00654 (2021) - [i13]Ayse S. Cakmak, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell, Omer T. Inan, Amit J. Shah, Gari D. Clifford:
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure. CoRR abs/2104.01511 (2021) - [i12]Marissa Connor, Kion Fallah, Christopher Rozell:
Learning Identity-Preserving Transformations on Data Manifolds. CoRR abs/2106.12096 (2021) - 2020
- [j29]Nicholas P. Bertrand, Adam S. Charles, John Lee, Pavel Dunn, Christopher J. Rozell:
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer. IEEE Signal Process. Lett. 27: 1120-1124 (2020) - [j28]John Lee, Nicholas P. Bertrand, Christopher J. Rozell:
Unbalanced Optimal Transport Regularization for Imaging Problems. IEEE Trans. Computational Imaging 6: 1219-1232 (2020) - [j27]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell:
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals. IEEE Trans. Signal Process. 68: 388-403 (2020) - [c45]Gregory Canal, Stefano Fenu, Christopher Rozell:
Active Ordinal Querying for Tuplewise Similarity Learning. AAAI 2020: 3332-3340 - [c44]Marissa Connor, Christopher Rozell:
Representing Closed Transformation Paths in Encoded Network Latent Space. AAAI 2020: 3666-3675 - [c43]Peter Lawrence Brown, Matthew R. O'Shaughnessy, Christopher J. Rozell, Justin Romberg, Michael P. Flynn:
A 17.8MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS. CICC 2020: 1-4 - [c42]Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP 2020: 3462-3466 - [c41]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ITA 2020: 1 - [c40]Kion Fallah, Adam Willats, Ninghao Liu, Christopher Rozell:
Learning sparse codes from compressed representations with biologically plausible local wiring constraints. NeurIPS 2020 - [c39]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport:
Generative causal explanations of black-box classifiers. NeurIPS 2020 - [i11]Marissa Connor, Gregory H. Canal, Christopher J. Rozell:
Variational Autoencoder with Learned Latent Structure. CoRR abs/2006.10597 (2020) - [i10]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher Rozell:
Generative causal explanations of black-box classifiers. CoRR abs/2006.13913 (2020)
2010 – 2019
- 2019
- [c38]Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP 2019: 121-125 - [c37]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell:
Dynamical System Implementations of Sparse Bayesian Learning. CAMSAP 2019: 136-140 - [c36]Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ICML 2019: 902-911 - [c35]John Lee, Max Dabagia, Eva L. Dyer, Christopher Rozell:
Hierarchical Optimal Transport for Multimodal Distribution Alignment. NeurIPS 2019: 13453-13463 - [i9]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active embedding search via noisy paired comparisons. CoRR abs/1905.04363 (2019) - [i8]John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell:
Hierarchical Optimal Transport for Multimodal Distribution Alignment. CoRR abs/1906.11768 (2019) - [i7]Gregory Canal, Stefano Fenu, Christopher J. Rozell:
Active ordinal tuplewise querying for similarity learning. CoRR abs/1910.04115 (2019) - [i6]Marissa Connor, Christopher Rozell:
Representing Closed Transformation Paths in Encoded Network Latent Space. CoRR abs/1912.02644 (2019) - 2018
- [j26]Giulia Da Poian, Christopher J. Rozell, Riccardo Bernardini, Roberto Rinaldo, Gari D. Clifford:
Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements. IEEE Trans. Biomed. Eng. 65(6): 1349-1358 (2018) - [j25]John Lee, Ilya Kolb, Craig R. Forest, Christopher J. Rozell:
Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy. IEEE Trans. Image Process. 27(4): 1847-1861 (2018) - [c34]Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell:
Interactive Object Segmentation with Noisy Binary Inputs. GlobalSIP 2018: 405-409 - [c33]Nicholas P. Bertrand, John Lee, Adam S. Charles, Pavel Dunn, Christopher J. Rozell:
Sparse Dynamic Filtering via Earth Mover's Distance Regularization. ICASSP 2018: 4334-4338 - 2017
- [j24]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. J. Mach. Learn. Res. 18: 7:1-7:37 (2017) - [c32]Adam S. Charles, Nicholas P. Bertrand, John Lee, Christopher J. Rozell:
Earth-Mover's distance as a tracking regularizer. CAMSAP 2017: 1-5 - [c31]John Lee, Christopher J. Rozell:
Fast ADMM solver for reweighted total variation image deconvolution and inpainting. GlobalSIP 2017: 1145-1149 - [c30]John Lee, Christopher J. Rozell:
Precision cell boundary tracking on DIC microscopy video for patch clamping. ICASSP 2017: 1048-1052 - [c29]Stefano Fenu, Christopher J. Rozell:
Rank Learning by Ordinal Gerrymandering. ICMLA 2017: 1102-1107 - 2016
- [j23]Adam S. Charles, Aurele Balavoine, Christopher J. Rozell:
Dynamic Filtering of Time-Varying Sparse Signals via ℓ1 Minimization. IEEE Trans. Signal Process. 64(21): 5644-5656 (2016) - [i5]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks. CoRR abs/1605.08346 (2016) - 2015
- [j22]Mengchen Zhu, Christopher J. Rozell:
Modeling Inhibitory Interneurons in Efficient Sensory Coding Models. PLoS Comput. Biol. 11(7) (2015) - [j21]Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg:
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery. IEEE Trans. Signal Process. 63(12): 3165-3176 (2015) - 2014
- [j20]Samuel A. Shapero, Mengchen Zhu, Jennifer Hasler, Christopher J. Rozell:
Optimal Sparse Approximation with Integrate and Fire Neurons. Int. J. Neural Syst. 24(5) (2014) - [j19]Adam S. Charles, Christopher J. Rozell:
Spectral Superresolution of Hyperspectral Imagery Using Reweighted ℓ1 Spatial Filtering. IEEE Geosci. Remote. Sens. Lett. 11(3): 602-606 (2014) - [j18]Adam S. Charles, Han Lun Yap, Christopher J. Rozell:
Short-Term Memory Capacity in Networks via the Restricted Isometry Property. Neural Comput. 26(6): 1198-1235 (2014) - [j17]Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell:
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation". IEEE Trans. Neural Networks Learn. Syst. 25(8): 1595-1596 (2014) - [c28]Adam S. Charles, Christopher J. Rozell:
Convergence of basis pursuit de-noising with dynamic filtering. GlobalSIP 2014: 374-378 - [c27]Adam S. Charles, Dong Yin, Christopher J. Rozell:
Can random linear networks store multiple long input streams? GlobalSIP 2014: 379-383 - [c26]Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell:
A first analysis of the stability of Takens' embedding. GlobalSIP 2014: 404-408 - [c25]Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg:
Iterative soft-thresholding for time-varying signal recovery. ICASSP 2014: 4958-4962 - 2013
- [j16]Han Lun Yap, Michael B. Wakin, Christopher J. Rozell:
Stable Manifold Embeddings With Structured Random Matrices. IEEE J. Sel. Top. Signal Process. 7(4): 720-730 (2013) - [j15]Samuel A. Shapero, Christopher J. Rozell, Paul E. Hasler:
Configurable hardware integrate and fire neurons for sparse approximation. Neural Networks 45: 134-143 (2013) - [j14]Mengchen Zhu, Christopher J. Rozell:
Visual Nonclassical Receptive Field Effects Emerge from Sparse Coding in a Dynamical System. PLoS Comput. Biol. 9(8) (2013) - [j13]Abigail A. Kressner, David V. Anderson, Christopher J. Rozell:
Evaluating the Generalization of the Hearing Aid Speech Quality Index (HASQI). IEEE Trans. Speech Audio Process. 21(2): 407-415 (2013) - [j12]Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg:
Convergence Speed of a Dynamical System for Sparse Recovery. IEEE Trans. Signal Process. 61(17): 4259-4269 (2013) - [c24]Adam S. Charles, Christopher J. Rozell:
Dynamic filtering of sparse signals using reweighted ℓ1. ICASSP 2013: 6451-6455 - [c23]Abigail A. Kressner, David V. Anderson, Christopher J. Rozell:
A novel binary mask estimator based on sparse approximation. ICASSP 2013: 7497-7501 - [c22]Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg:
Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality. IJCNN 2013: 1-8 - [c21]Abigail A. Kressner, Christopher J. Rozell:
Speech understanding in noise provided by a simulated cochlear implant processor based on matching pursuit. WASPAA 2013: 1-4 - [i4]Adam S. Charles, Han Lun Yap, Christopher J. Rozell:
Short Term Memory Capacity in Networks via the Restricted Isometry Property. CoRR abs/1307.7970 (2013) - 2012
- [j11]Samuel A. Shapero, Adam S. Charles, Christopher J. Rozell, Paul E. Hasler:
Low Power Sparse Approximation on Reconfigurable Analog Hardware. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 530-541 (2012) - [j10]Adam S. Charles, Pierre Garrigues, Christopher J. Rozell:
A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems. Neural Comput. 24(12): 3317-3339 (2012) - [j9]Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell:
Convergence and Rate Analysis of Neural Networks for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 23(9): 1377-1389 (2012) - [c20]Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman:
Compressive ladar detector noise performance. ACSCC 2012: 416-420 - [c19]Han Lun Yap, Adam S. Charles, Christopher J. Rozell:
The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity. SSP 2012: 580-583 - [c18]Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman:
Compressive LADAR in realistic environments. SSP 2012: 720-723 - [i3]Han Lun Yap, Michael B. Wakin, Christopher J. Rozell:
Stable Manifold Embeddings with Structured Random Matrices. CoRR abs/1209.3312 (2012) - [i2]Armin Eftekhari, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin:
The Restricted Isometry Property for Random Block Diagonal Matrices. CoRR abs/1210.3395 (2012) - 2011
- [j8]Adam S. Charles, Bruno A. Olshausen, Christopher J. Rozell:
Learning Sparse Codes for Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 5(5): 963-978 (2011) - [j7]Han Lun Yap, Christopher J. Rozell:
Stable Takens' Embeddings for Linear Dynamical Systems. IEEE Trans. Signal Process. 59(10): 4781-4794 (2011) - [j6]Jae Young Park, Han Lun Yap, Christopher J. Rozell, Michael B. Wakin:
Concentration of Measure for Block Diagonal Matrices With Applications to Compressive Signal Processing. IEEE Trans. Signal Process. 59(12): 5859-5875 (2011) - [c17]Adam S. Charles, Muhammad Salman Asif, Justin K. Romberg, Christopher J. Rozell:
Sparsity penalties in dynamical system estimation. CISS 2011: 1-6 - [c16]Han Lun Yap, Armin Eftekhari, Michael B. Wakin, Christopher J. Rozell:
The Restricted Isometry Property for block diagonal matrices. CISS 2011: 1-6 - [c15]Han Lun Yap, Michael B. Wakin, Christopher J. Rozell:
Stable manifold embeddings with operators satisfying the Restricted Isometry Property. CISS 2011: 1-6 - [c14]Muhammad Salman Asif, Adam S. Charles, Justin K. Romberg, Christopher J. Rozell:
Estimation and dynamic updating of time-varying signals with sparse variations. ICASSP 2011: 3908-3911 - [c13]Abigail A. Kressner, David V. Anderson, Christopher J. Rozell:
Robustness of the Hearing Aid Speech Quality Index (HASQI). WASPAA 2011: 209-212 - 2010
- [c12]Han Lun Yap, Christopher J. Rozell:
Stable Takens' Embedding for linear dynamical systems. CDC 2010: 2948-2953 - [c11]Christopher J. Rozell, Han Lun Yap, Jae Young Park, Michael B. Wakin:
Concentration of measure for block diagonal matrices with repeated blocks. CISS 2010: 1-6 - [c10]Michael B. Wakin, Jae Young Park, Han Lun Yap, Christopher J. Rozell:
Concentration of measure for block diagonal measurement matrices. ICASSP 2010: 3614-3617 - [i1]Han Lun Yap, Christopher J. Rozell:
Stable Takens' Embeddings for Linear Dynamical Systems. CoRR abs/1010.5938 (2010)
2000 – 2009
- 2008
- [j5]Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen:
Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Comput. 20(10): 2526-2563 (2008) - [c9]Christopher J. Rozell:
Distributed processing in frames for sparse approximation. CISS 2008: 280-285 - [c8]Robert L. Ortman, Christopher J. Rozell, Don H. Johnson:
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms. CISS 2008: 476-479 - 2007
- [c7]Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen:
Locally Competitive Algorithms for Sparse Approximation. ICIP (4) 2007: 169-172 - [c6]Christopher J. Rozell, Don H. Johnson:
Power scheduling for wireless sensor and actuator networks. IPSN 2007: 470-478 - 2006
- [j4]Christopher J. Rozell, Don H. Johnson:
Analyzing the robustness of redundant population codes in sensory and feature extraction systems. Neurocomputing 69(10-12): 1215-1218 (2006) - [c5]Christopher J. Rozell, Don H. Johnson:
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks. DCOSS 2006: 1-16 - [c4]Christopher J. Rozell, Ilan N. Goodman, Don H. Johnson:
Feature-Based Information Processing with Selective Attention. ICASSP (4) 2006: 709-712 - 2005
- [j3]Christopher J. Rozell, Don H. Johnson:
Examining methods for estimating mutual information in spiking neural systems. Neurocomputing 65-66: 429-434 (2005) - [c3]Christopher J. Rozell, Don H. Johnson:
Analysis of noise reduction in redundant expansions under distributed processing requirements. ICASSP (4) 2005: 185-188 - 2004
- [j2]Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz:
Measuring information transfer in the spike generator of crayfish sustaining fibers. Biol. Cybern. 90(2): 89-97 (2004) - [c2]Michael A. Lexa, Christopher J. Rozell, Sinan Sinanovic, Don H. Johnson:
To cooperate or not to cooperate: detection strategies in sensor networks. ICASSP (3) 2004: 841-844 - 2003
- [j1]Christopher J. Rozell, Don H. Johnson, Raymon M. Glantz:
Information processing during transient responses in the crayfish visual system. Neurocomputing 52-54: 53-58 (2003)
1990 – 1999
- 1999
- [c1]Mary Simoni, Benjamin Broening, Christopher Rozell, Colin Meek, Gregory H. Wakefield:
A Theoretical Framework for Electro-Acoustic Music. ICMC 1999
Coauthor Index
Gregory Canal
aka: Gregory H. Canal
aka: Gregory H. Canal
Marissa Connor
aka: Marissa Catherine Connor
aka: Marissa Catherine Connor
Justin K. Romberg
aka: Justin Romberg
aka: Justin Romberg
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
