Publications

Found 35 results
Author [ Title(Asc)] Type Year
Filters: First Letter Of Last Name is L  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
V
Bhattacharya, A., V. Ljosa, J-Y. Pan, M. R. Verardo, H-J. Yang, C. Faloutsos, and A. K. Singh, "ViVo: Visual Vocabulary Construction for Mining Biomedical Images", Proceedings of the 5th {IEEE} International Conference on Data Mining {(ICDM} 2005), 27-30 November 2005, Houston, Texas, {USA}, pp. 50–57, 2005.
T
Bogdanov, P., N. D. Larusso, and A. K. Singh, "Towards Community Discovery in Signed Collaborative Interaction Networks", {ICDMW} 2010, The 10th {IEEE} International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010, pp. 288–295, 2010.
Ljosa, V., and A. K. Singh, "Top-k Spatial Joins of Probabilistic Objects", Proceedings of the 24th International Conference on Data Engineering, {ICDE} 2008, April 7-12, 2008, Cancún, México, pp. 566–575, 2008.
S
Larusso, N. D., and A. K. Singh, "Synopses for probabilistic data over large domains", {EDBT} 2011, 14th International Conference on Extending Database Technology, Uppsala, Sweden, March 21-24, 2011, Proceedings, pp. 389–400, 2011.
Kahveci, T., V. Ljosa, and A. K. Singh, "Speeding up whole-genome alignment by indexing frequency vectors", Bioinformatics, vol. 20, no. 13, pp. 2122–2134, 2004.
Larusso, N. D., and A. K. Singh, "Sensing for Mobile Objects", Managing and Mining Sensor Data, pp. 299–348, 2013.
Q
Ruttenberg, B. E., G. Luna, G. P. Lewis, S. K. Fisher, and A. K. Singh, "Quantifying spatial relationships from whole retinal images", Bioinformatics, vol. 29, no. 7, pp. 940–946, 2013.
Ruttenberg, B. E., G. Luna, G. P. Lewis, S. K. Fisher, and A. K. Singh, "Quantifying spatial relationships from whole retinal images", Bioinformatics, vol. 29, no. 7, pp. 940–946, 2013.
P
Ljosa, V., and A. K. Singh, "Probabilistic Segmentation and Analysis of Horizontal Cells", Proceedings of the 6th {IEEE} International Conference on Data Mining {(ICDM} 2006), 18-22 December 2006, Hong Kong, China, pp. 980–985, 2006.
M
Laos, V., D. Bishop, C. A. Lang, N. M. Marsh, K. Lazar Cantrell, S. K. Buratto, A. K. Singh, and M. T. Bowers, "Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules", Biochemistry, vol. 59, pp. 499–508, 2019.
Laos, V., D. Bishop, C. A. Lang, N. M. Marsh, K. Lazar Cantrell, S. K. Buratto, A. K. Singh, and M. T. Bowers, "Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules", Biochemistry, vol. 59, pp. 499–508, 2019.
Lin, S., T. Sprague, and A. K. Singh, "Mind Reader: Reconstructing complex images from brain activities", Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
L
Jaffe, S., A. Davydov, D. Lapsekili, A. K. Singh, and F. Bullo, "Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees", CoRR, vol. abs/2402.08090, 2024.
Ljosa, V., A. Bhattacharya, and A. K. Singh, "LB-Index: A Multi-Resolution Index Structure for Images", Proceedings of the 22nd International Conference on Data Engineering, {ICDE} 2006, 3-8 April 2006, Atlanta, GA, {USA}, pp. 144, 2006.
Larusso, N. D., B. E. Ruttenberg, and A. K. Singh, "A Latent Parameter Node-Centric Model for Spatial Networks", CoRR, vol. abs/1210.4246, 2012.
J
Kahveci, T., C. A. Lang, and A. K. Singh, "Joining Massive High-Dimensional Datasets", Proceedings of the 19th International Conference on Data Engineering, March 5-8, 2003, Bangalore, India, pp. 265–276, 2003.
I
Downey, M. A., M. J. Giammona, C. A. Lang, S. K. Buratto, A. Singh, and M. T. Bowers, "Inhibiting and remodeling toxic amyloid-beta oligomer formation using a computationally designed drug molecule that targets Alzheimer’s disease", Journal of The American Society for Mass Spectrometry, vol. 30, pp. 85–93, 2018.
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
Ljosa, V., A. Bhattacharya, and A. K. Singh, "Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds", Advances in Database Technology - {EDBT} 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings, pp. 865–883, 2006.
G
Bhattacharya, A., S. Levy, A. LeBoeuf, M. Gaylord, L. Wilson, A. K. Singh, and S. C. Feinstein, "A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics", {BMC} Bioinformatics, vol. 9, 2008.
Bhattacharya, A., S. Levy, A. LeBoeuf, M. Gaylord, L. Wilson, A. K. Singh, and S. C. Feinstein, "A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics", {BMC} Bioinformatics, vol. 9, 2008.
F
Luong, K-D., and A. Singh, "Fragment-based Pretraining and Finetuning on Molecular Graphs", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
Lang, C. A., and A. K. Singh, "Faster Similarity Search for Multimedia Data Via Query Transformations", Int. J. Image Graphics, vol. 3, no. 1, pp. 3–30, 2003.
E
Larusso, N. D., and A. K. Singh, "Efficient tracking and querying for coordinated uncertain mobile objects", 29th {IEEE} International Conference on Data Engineering, {ICDE} 2013, Brisbane, Australia, April 8-12, 2013, pp. 182–193, 2013.
D
Lencevicius, R., U. Hölzle, and A. K. Singh, "Dynamic Query-Based Debugging of Object-Oriented Programs", Autom. Softw. Eng., vol. 10, no. 1, pp. 39–74, 2003.
Lang, C. A., S. S. Ray, M. Liu, A. K. Singh, and G. D. Cuny, "Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking", Bioorganic & medicinal chemistry letters, vol. 25, pp. 2713–2719, 2015.
Lang, C. A., S. S. Ray, M. Liu, A. K. Singh, and G. D. Cuny, "Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking", Bioorganic & medicinal chemistry letters, vol. 25, pp. 2713–2719, 2015.
Lin, S., S. Tang, S. T. Grafton, and A. K. Singh, "Deep Representations for Time-varying Brain Datasets", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
C
Singh, A. K., A. Bhattacharya, and V. Ljosa, "Current Challenges in Bioimage Database Design", Fourth International {IEEE} Computer Society Computational Systems Bioinformatics Conference Workshops {&} Poster Abstracts, {CSB} 2005 Workshops, Stanford, CA, USA, August 8-11, 2005, pp. 375–379, 2005.
Liu, X., S. Duan, Y. Jin, E. Walker, M. Tsao, J. H. Jang, Z. Chen, A. K. Singh, K. Lazar Cantrell, H. I. Ingolfsson, et al., "Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation", ACS Chemical Neuroscience, vol. 14, pp. 4395–4408, 2023.
Zong, B., R. Raghavendra, M. Srivatsa, X. Yan, A. K. Singh, and K-W. Lee, "Cloud service placement via subgraph matching", {IEEE} 30th International Conference on Data Engineering, Chicago, {ICDE} 2014, IL, USA, March 31 - April 4, 2014, pp. 832–843, 2014.
B
Zong, B., X. Xiao, Z. Li, Z. Wu, Z. Qian, X. Yan, A. K. Singh, and G. Jiang, "Behavior Query Discovery in System-Generated Temporal Graphs", {PVLDB}, vol. 9, pp. 240–251, 2015.
A
Ljosa, V., and A. K. Singh, "APLA: Indexing Arbitrary Probability Distributions", Proceedings of the 23rd International Conference on Data Engineering, {ICDE} 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007, pp. 946–955, 2007.
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.