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Trilce Estrada
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- affiliation: University of New Mexico, NM, USA
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2020 – today
- 2023
- [c51]Adnan Bashir
, Trilce Estrada
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. DaWaK 2023: 294-302 - [c50]Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science 2023: 1-10 - [c49]Silvina Caíno-Lores
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC 2023: 21:1-21:11 - [c48]Sushil K. Prasad
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. SIGCSE (2) 2023: 1220-1221 - 2022
- [j9]David Debonis
APE: Metrics for understanding application performance efficiency under power caps. Sustain. Comput. Informatics Syst. 34: 100702 (2022) - 2021
- [j8]Tu Mai Anh Do
A lightweight method for evaluating in situ workflow efficiency. J. Comput. Sci. 48: 101259 (2021) - [j7]Hector Carrillo-Cabada
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1336-1349 (2021) - [c47]Nidia Yadira Vaquera Chavez, Trilce Estrada
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. IEEE BigData 2021: 2743-2752 - [c46]Michela Taufer
A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. CLUSTER 2021: 807-808 - [c45]Michela Taufer
A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective. e-Science 2021: 247-248 - 2020
- [c44]Jeremy Benson, Trilce Estrada
Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning. EMBC 2020: 1988-1991 - [c43]Tu Mai Anh Do, Loïc Pottier, Stephen Thomas, Rafael Ferreira da Silva
A Novel Metric to Evaluate In Situ Workflows. ICCS (1) 2020: 538-553 - [c42]Jered Dominguez-Trujillo
Lightweight Measurement and Analysis of HPC Performance Variability. PMBS@SC 2020: 50-60
2010 – 2019
- 2019
- [c41]Esteban Guillen, Trilce Estrada
DeepManner: Automatically Determining Manner of Death. IEEE BigData 2019: 1361-1366 - [c40]Michela Taufer
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience 2019: 188-198 - [c39]William S. Monroe, Michael Witt, Maria Pantoja, Christopher Lupo, Anne C. Elster, Joel C. Adams, Mark C. Wissink, Hang Liu, Chunhua Liao, Raphael B. Yehezkael, Benjamin H. Glick, Ravi Tripathi, Brian Smith, Jens Mache, Trilce Estrada
Lightning Talks of EduHPC 2019. EduHPC@SC 2019: 25-31 - 2018
- [c38]Trilce Estrada
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. BCB 2018: 315-324 - [c37]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData 2018: 1899-1904 - [c36]Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer
KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. ICPP 2018: 34:1-34:10 - [c35]Jeremy Benson, Hector Carrillo, Jeffrey Wigdahl, Sheila C. Nemeth, John Maynard, Gilberto Zamora, E. Simon Barriga, Trilce Estrada
Transfer learning for diabetic retinopathy. Image Processing 2018: 105741Z - [i1]Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada:
In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR abs/1806.07382 (2018) - 2017
- [j6]Boyu Zhang, Trilce Estrada
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. 63: 38-60 (2017) - [c34]Xinyu Chen, Jeremy Benson, Trilce Estrada
keybin: Key-Based Binning for Distributed Clustering. CLUSTER 2017: 572-581 - [c33]Martha O. Perez-Arriaga
Construction of Semantic Data Models. DATA (Revised Selected Papers) 2017: 46-66 - [c32]Martha O. Perez-Arriaga, Trilce Estrada
Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. DATA 2017: 223-232 - [c31]Xinyu Chen, Trilce Estrada
Index Clustering: A Map-reduce Clustering Approach using Numba. DATA 2017: 233-240 - 2016
- [c30]Thilak R. Balasubramanian, Trilce Estrada
Crowdlearning: A framework for collaborative and personalized learning. FIE 2016: 1-9 - [c29]Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota:
TAO: System for Table Detection and Extraction from PDF Documents. FLAIRS 2016: 591-596 - [c28]Jeremy Benson, Trilce Estrada
Scheduling Matters: Area-Oriented Heuristic for Resource Management. SBAC-PAD 2016: 214-221 - 2015
- [c27]Boyu Zhang, Trilce Estrada
Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID 2015: 817-822 - [c26]Trilce Estrada
A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. ICPADS 2015: 372-379 - [c25]Vivek K. Pallipuram, Trilce Estrada
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP 2015: 849-858 - [c24]Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer
HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops 2015: 331 - 2014
- [c23]Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer
Gender and volunteer computing: A survey study. FIE 2014: 1-5 - [c22]Abdullah Mueen, Hossein Hamooni, Trilce Estrada
Time Series Join on Subsequence Correlation. ICDM 2014: 450-459 - [c21]Boyu Zhang, Trilce Estrada
Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets. IPDPS 2014: 221-230 - 2013
- [j5]Kyle E. Benson, Samuel Schlachter, Trilce Estrada
On the powerful use of simulations in the Quake-Catcher Network to efficiently position low-cost earthquake sensors. Future Gener. Comput. Syst. 29(8): 2128-2142 (2013) - [c20]Boyu Zhang, Trilce Estrada
On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce. CSE 2013: 117-124 - [c19]Trilce Estrada
Benchmarking Gender Differences in Volunteer Computing Projects. e-Science 2013: 342-349 - [c18]Matthew Wezowicz, Trilce Estrada
Performance Dissection of a Molecular Dynamics Code across CUDA and GPU Generations. IPDPS Workshops 2013: 1355-1364 - 2012
- [j4]Trilce Estrada
A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach. Comput. Biol. Medicine 42(7): 758-771 (2012) - [c17]Michael Matheny, Samuel Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada
ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health. eScience 2012: 1-8 - [c16]Trilce Estrada
Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. HPCC-ICESS 2012: 351-359 - [c15]Trilce Estrada
On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems. SC 2012: 80 - 2011
- [j3]Obaidur Rahaman, Trilce Estrada
Evaluation of Several Two-Step Scoring Functions Based on Linear Interaction Energy, Effective Ligand Size, and Empirical Pair Potentials for Prediction of Protein-Ligand Binding Geometry and Free Energy. J. Chem. Inf. Model. 51(9): 2047-2065 (2011) - [c14]Kyle E. Benson, Trilce Estrada
On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. eScience 2011: 77-84 - [c13]Trilce Estrada
Providing Quality of Science in Volunteer Computing. HPCC 2011: 68-77 - [c12]Trilce Estrada
Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce. SC Companion 2011: 39-40 - 2010
- [c11]Trilce Estrada
Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing. BCB 2010: 204-213
2000 – 2009
- 2009
- [j2]Trilce Estrada
Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC. J. Grid Comput. 7(4): 537-554 (2009) - [c10]Trilce Estrada
Modeling Job Lifespan Delays in Volunteer Computing Projects. CCGRID 2009: 331-338 - [c9]James Atlas
Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization. ICCS (1) 2009: 143-152 - [c8]Trilce Estrada
EmBOINC: An emulator for performance analysis of BOINC projects. IPDPS 2009: 1-8 - 2008
- [j1]Trilce Estrada, Olac Fuentes, Michela Taufer:
A distributed evolutionary method to design scheduling policies for volunteer computing. SIGMETRICS Perform. Evaluation Rev. 36(3): 40-49 (2008) - [c7]Trilce Estrada
A distributed evolutionary method to design scheduling policies for volunteer computing. Conf. Computing Frontiers 2008: 313-322 - 2007
- [c6]Michela Taufer
Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling. IPDPS 2007: 1-8 - [c5]Michela Taufer
SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects. PADS 2007: 189-197 - 2006
- [c4]Trilce Estrada
The Effectiveness of Threshold-Based Scheduling Policies in BOINC Projects. e-Science 2006: 88 - [c3]Trilce Estrada
compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots. ISPA Workshops 2006: 677-686 - [c2]David A. Flores, Trilce Estrada
Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects. SC 2006: 168 - 2005
- [c1]Trilce Estrada, Olac Fuentes:
Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble. FLAIRS 2005: 394-398
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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