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2020 – today
- 2022
[c38]Yi Zhang, Daniel Boley, John Harwell, Maria L. Gini
:
A Correlated Random Walk Model to Rapidly Approximate Hitting Time Distributions in Multi-robot Systems. IAS 2022: 724-736- 2021
- [i8]Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli:
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR abs/2106.02118 (2021) - 2020
- [j33]Tatiana Lenskaia, Daniel Boley:
Prokaryote autoimmunity in the context of self-targeting by CRISPR-Cas systems. J. Bioinform. Comput. Biol. 18(5): 2050033:1-2050033:12 (2020) - [j32]Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. 32(9): 1798-1811 (2020) - [i7]Daniel Boley:
On Fast Computation of Directed Graph Laplacian Pseudo-Inverse. CoRR abs/2002.12773 (2020)
2010 – 2019
- 2018
- [i6]Golshan Golnari, Zhi-Li Zhang, Daniel Boley:
Random Walk Fundamental Tensor and its Applications to Network Analysis. CoRR abs/1801.08583 (2018) - [i5]Golshan Golnari, Zhi-Li Zhang, Daniel Boley:
Avoidance Markov Metrics and Node Pivotality Ranking. CoRR abs/1807.06420 (2018) - [i4]Daniel Boley, Alejandro Buendia, Golshan Golnari:
Random Walk Laplacian and Network Centrality Measures. CoRR abs/1808.02912 (2018) - [i3]Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR abs/1810.02950 (2018) - 2017
- [j31]Ham Ching Lam, Xuan Bi, Srinand Sreevatsan, Daniel Boley:
Evolution and Vaccination of Influenza Virus. J. Comput. Biol. 24(8): 787-798 (2017) - [c37]Shaozhe Tao, Yifan Sun, Daniel Boley:
Inverse Covariance Estimation with Structured Groups. IJCAI 2017: 2836-2842 - 2016
- [j30]Shaozhe Tao, Daniel Boley, Shuzhong Zhang:
Local Linear Convergence of ISTA and FISTA on the LASSO Problem. SIAM J. Optim. 26(1): 313-336 (2016) - 2015
- [j29]Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, Nikolaos Papanikolopoulos:
Tensor Dictionary Learning for Positive Definite Matrices. IEEE Trans. Image Process. 24(11): 4592-4601 (2015) - [c36]Shaozhe Tao, Daniel Boley, Shuzhong Zhang:
Convergence of Common Proximal Methods for L1-Regularized Least Squares. IJCAI 2015: 3849-3855 - [i2]Stefan Schuster, Daniel Boley, Philip Möller, Christoph Kaleta:
A minimal model for explaining the higher ATP production in the Warburg effect. PeerJ Prepr. 3: e1309 (2015) - 2014
- [j28]Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, Nikolaos Papanikolopoulos:
Tensor Sparse Coding for Positive Definite Matrices. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 592-605 (2014) - [j27]Yanhua Li, Zhi-Li Zhang, Daniel Boley:
From Shortest-Path to All-Path: The Routing Continuum Theory and Its Applications. IEEE Trans. Parallel Distributed Syst. 25(7): 1745-1755 (2014) - [c35]Ham Ching Lam, Steve Cunningham, Srinand Sreevatsan, Daniel Boley:
High throughput genetic sequence analysis. Conf. Computing Frontiers 2014: 28:1-28:2 - [c34]Gyan Ranjan, Zhi-Li Zhang, Daniel Boley:
Incremental Computation of Pseudo-Inverse of Laplacian. COCOA 2014: 729-749 - [c33]Tom Bäckström, Johannes Fischer, Daniel Boley:
Implementation and evaluation of the Vandermonde transform. EUSIPCO 2014: 71-75 - 2013
- [j26]Dimitrije Jevremovic, Daniel Boley:
Finding minimal generating set for metabolic network with reversible pathways. Biosyst. 112(1): 31-36 (2013) - [j25]Daniel Boley:
Local Linear Convergence of the Alternating Direction Method of Multipliers on Quadratic or Linear Programs. SIAM J. Optim. 23(4): 2183-2207 (2013) - [c32]Jaya Kawale, Daniel Boley:
Constrained Spectral Clustering using L1 Regularization. SDM 2013: 103-111 - [c31]Sreangsu Acharyya, Arindam Banerjee, Daniel Boley:
Bregman Divergences and Triangle Inequality. SDM 2013: 476-484 - [i1]Gyan Ranjan, Zhi-Li Zhang, Daniel Boley:
Incremental Computation of Pseudo-Inverse of Laplacian: Theory and Applications. CoRR abs/1304.2300 (2013) - 2012
- [j24]Ham Ching Lam, Srinand Sreevatsan, Daniel Boley:
Analyzing influenza virus sequences using binary encoding approach. Sci. Program. 20(1): 3-13 (2012) - 2011
- [j23]Dimitrije Jevremovic, Cong T. Trinh, Friedrich Srienc, Carlos P. Sosa, Daniel Boley:
Parallelization of Nullspace Algorithm for the computation of metabolic pathways. Parallel Comput. 37(6-7): 261-278 (2011) - [c30]Ham Ching Lam, Daniel Boley, Srinand Sreevatsan:
Poster: H3N2 influenza vaccine: A historical perspective. ICCABS 2011: 250 - [c29]Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, Nikolaos Papanikolopoulos:
Positive definite dictionary learning for region covariances. ICCV 2011: 1013-1019 - [c28]Yanhua Li, Zhi-Li Zhang, Daniel Boley:
The Routing Continuum from Shortest-Path to All-Path: A Unifying Theory. ICDCS 2011: 847-856 - [c27]Dimitrije Jevremovic, Daniel Boley, Carlos P. Sosa:
Divide-and-Conquer Approach to the Parallel Computation of Elementary Flux Modes in Metabolic Networks. IPDPS Workshops 2011: 502-511 - [c26]Ham Ching Lam, Daniel Boley:
Analyze influenza virus sequences using binary encoding approach. BIOKDD 2011: 4:1-4:7 - [c25]Huahua Wang, Arindam Banerjee, Daniel Boley:
Common component analysis for multiple covariance matrices. KDD 2011: 956-964 - 2010
- [j22]Dimitrije Jevremovic, Cong T. Trinh, Friedrich Srienc, Daniel Boley:
On Algebraic Properties of Extreme Pathways in Metabolic Networks. J. Comput. Biol. 17(2): 107-119 (2010) - [c24]Ravishankar Sivalingam, Daniel Boley, Vassilios Morellas, Nikolaos Papanikolopoulos:
Tensor Sparse Coding for Region Covariances. ECCV (4) 2010: 722-735
2000 – 2009
- 2009
- [j21]David Littau, Daniel Boley:
Clustering Very Large Data Sets Using a low Memory Matrix Factored Representation. Comput. Intell. 25(2): 114-135 (2009) - [j20]Dongwei Cao, Osama Masoud, Daniel Boley, Nikolaos Papanikolopoulos:
Human motion recognition using support vector machines. Comput. Vis. Image Underst. 113(10): 1064-1075 (2009) - [j19]Yuanbei Deng, Daniel Boley:
An optimal approximation problem for a matrix equation. Int. J. Comput. Math. 86(2): 321-332 (2009) - [c23]Ravishankar Sivalingam, Vassilios Morellas, Daniel Boley, Nikolaos Papanikolopoulos:
Metric learning for semi-supervised clustering of Region Covariance Descriptors. ICDSC 2009: 1-8 - 2007
- [c22]Dongwei Cao, Daniel Boley:
A PAC Bound for Approximate Support Vector Machines. SDM 2007: 455-460 - 2006
- [j18]David Littau, Daniel Boley:
Streaming data reduction using low-memory factored representations. Inf. Sci. 176(14): 2016-2041 (2006) - [j17]Ham Ching Lam, M. Vazquez Garcia, B. Juneja, Scott C. Fahrenkrug, Daniel Boley:
Gene Expression Analysis in Multi-Agent Environment. Int. Trans. Syst. Sci. Appl. 1(1): 35-42 (2006) - [c21]Dongwei Cao, Osama Masoud, Daniel Boley:
Human Motion Recognition with a Convolution Kernel. ICRA 2006: 4270-4275 - [c20]Dongwei Cao, Daniel Boley:
On Approximate Solutions to Support Vector Machines. SDM 2006: 534-538 - [p1]David Littau, Daniel Boley:
Clustering Very Large Data Sets with Principal Direction Divisive Partitioning. Grouping Multidimensional Data 2006: 99-126 - 2005
- [c19]Steven Jensen, Daniel Boley, Maria L. Gini, Paul R. Schrater:
Non-Stationary Policy Learning in 2-Player Zero Sum Games. AAAI 2005: 789-794 - [c18]Shana Watters, Brian McInnes, David McKoskey, Timothy A. Miller, Daniel Boley, Maria L. Gini, William Schuler, A. Polukeyeva, Jeanette K. Gundel, Sergey V. Pakhomov, Guergana Savova:
Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 117- - [c17]Steven Jensen, Daniel Boley, Maria L. Gini, Paul R. Schrater:
Rapid on-line temporal sequence prediction by an adaptive agent. AAMAS 2005: 67-73 - 2004
- [j16]Sergio M. Savaresi, Daniel Boley:
A comparative analysis on the bisecting K-means and the PDDP clustering algorithms. Intell. Data Anal. 8(4): 345-362 (2004) - [c16]Dongwei Cao, Osama Masoud, Daniel Boley, Nikolaos Papanikolopoulos:
Online Motion Classification using Support Vector Machines. ICRA 2004: 2291-2296 - [c15]Daniel Boley, Dongwei Cao:
Training Support Vector Machines Using Adaptive Clustering. SDM 2004: 126-137 - 2003
- [c14]David Littau, Daniel Boley:
Using Low-Memory Representations to Cluster Very Large Data Sets. SDM 2003: 341-345 - 2002
- [c13]Sergio M. Savaresi, Daniel Boley, Sergio Bittanti, Giovanna Gazzaniga:
Cluster Selection in Divisive Clustering Algorithms. SDM 2002: 299-314 - 2001
- [j15]Seung-Woo Kim, Daniel Boley:
Building and navigating a network of local minima. J. Field Robotics 18(8): 405-419 (2001) - [c12]Sergio M. Savaresi, Daniel Boley:
On the performance of bisecting K-means and PDDP. SDM 2001: 1-14 - 2000
- [j14]Daniel Boley, Todd Goehring:
LQ-Schur projection on large sparse matrix equations. Numer. Linear Algebra Appl. 7(7-8): 491-503 (2000) - [c11]David McKoskey, Daniel Boley:
Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning. ECML 2000: 263-270 - [c10]Giuseppina C. Gini, Emilio Benfenati, Daniel Boley:
Clustering and classification techniques to assess aquatic toxicity. KES 2000: 166-172
1990 – 1999
- 1999
- [j13]Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. 13(5-6): 365-391 (1999) - [j12]Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
Partitioning-based clustering for Web document categorization. Decis. Support Syst. 27(3): 329-341 (1999) - [j11]Nicola Mastronardi, Daniel Boley:
Computing the Smallest Eigenpair of a Symmetric Positive Definite Toeplitz Matrix. SIAM J. Sci. Comput. 20(5): 1921-1927 (1999) - [c9]Daniel Boley, Vivian Borst:
Unsupervised Updating of a Classification Tree in a Dynamic Environment. Agents 1999: 390-391 - 1998
- [j10]Daniel Boley:
Principal Direction Divisive Partitioning. Data Min. Knowl. Discov. 2(4): 325-344 (1998) - [j9]Daniel Boley, Karen T. Sutherland:
A Rapidly Converging Recursive Method for Mobile Robot Localization. Int. J. Robotics Res. 17(10): 1027-1039 (1998) - [j8]Daniel Boley, Maria L. Gini, Kyle Hastings, Bamshad Mobasher, Jerry Moore:
A client-side Web agent for document categorization. Internet Res. 8(5): 387-399 (1998) - [j7]Srinath Hosur, Ahmed H. Tewfik, Daniel Boley:
ULV and generalized ULV subspace tracking adaptive algorithms. IEEE Trans. Signal Process. 46(5): 1282-1297 (1998) - [c8]Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
WebACE: A Web Agent for Document Categorization and Exploration. Agents 1998: 408-415 - [c7]Seung-Woo Kim, Daniel Boley:
Analytical Potential Fields and Control Strategies for Motion Planning. IEA/AIE (Vol. 2) 1998: 85-94 - 1996
- [c6]Daniel Boley, Erik S. Steinmetz, Karen T. Sutherland:
Robot localization from landmarks using recursive total least squares. ICRA 1996: 1381-1386 - 1995
- [j6]Daniel Boley, Gene H. Golub, Samy Makar, Nirmal R. Saxena, Edward J. McCluskey:
Floating Point Fault Tolerance with Backward Error Assertions. IEEE Trans. Computers 44(2): 302-311 (1995) - [c5]Daniel J. Challou, Daniel Boley, Maria L. Gini, Vipin Kumar:
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems. ICRA 1995: 709-714 - [c4]Daniel Boley, Erik S. Steinmetz, Karen T. Sutherland:
Recursive Total Least Squares: An Alternative to Using the Discrete Kalman Filter in Robot Navigation. Reasoning with Uncertainty in Robotics 1995: 221-234 - 1994
- [c3]Srinath Hosur, Ahmed H. Tewfik, Daniel Boley:
Generalized URV subspace tracking LMS algorithm. ICASSP (3) 1994: 409-412 - [c2]Patrick Lau, Nikolaos Papanikolopoulos, Daniel Boley:
A Note on the Gabor-QR Decomposition. ICIP (1) 1994: 815-819 - 1993
- [c1]Tong J. Lee, Franklin T. Luk, Daniel Boley:
Singular Value Decomposition on a 2-D Fat-Tree Architecture. PPSC 1993: 358-362 - 1992
- [j5]Daniel Boley, Richard P. Brent, Gene H. Golub, Franklin T. Luk:
Algorithmic Fault Tolerance Using the Lanczos Method. SIAM J. Matrix Anal. Appl. 13(1): 312-332 (1992) - 1991
- [j4]Daniel Boley, Franklin T. Luk:
A well conditioned checksum scheme for algorithmic fault tolerance. Integr. 12(1): 21-32 (1991) - [j3]Daniel Boley, Sylvan Elhay, Gene H. Golub, Martin H. Gutknecht:
Nonsymmetric Lanczos and finding orthogonal polynomials associated with indefinite weights. Numer. Algorithms 1(1): 21-43 (1991)
1980 – 1989
- 1987
- [j2]Joseph K. Kearney, William B. Thompson, Daniel Boley:
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 9(2): 229-244 (1987) - 1986
- [j1]Daniel Boley:
Solving the generalized eigenvalue problem on a synchronous linear processor array. Parallel Comput. 3(2): 153-166 (1986) - 1981
- [b1]Daniel Boley:
Computing the controllability-observability decomposition of a linear time-invariant dynamic system : a numerical approach. Stanford University, USA, 1981
Coauthor Index
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