Trilce Estrada

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 29

Top Topics

Protein Folding

Gender Differences

Semantic Data Models

Top Venues

IPDPS Workshops

Publications

Adnan Bashir, Trilce Estrada
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. DaWaK (2023)
Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel
NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. SIGCSE (2) (2023)
Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science (2023)
Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC (2023)
David Debonis, Trilce Estrada, Ryan E. Grant, Kevin T. Pedretti, James H. Laros III, Dorian C. Arnold
APE: Metrics for understanding application performance efficiency under power caps. Sustain. Comput. Informatics Syst. 34 (2022)
Hector Carrillo-Cabada, Jeremy Benson, Asghar M. Razavi, Brianna Mulligan, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman
workflow efficiency. J. Comput. Sci. 48 (2021)
Nidia Yadira Vaquera Chavez, Trilce Estrada
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. IEEE BigData (2021)
Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, M. Hall, Miron Livny
A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. CLUSTER (2021)
Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, M. Hall
A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective. e-Science (2021)
Jered Dominguez-Trujillo, Keira Haskins, Soheila Jafari Khouzani, Christopher Leap, Sahba Tashakkori, Quincy Wofford, Trilce Estrada, Patrick G. Bridges, Patrick M. Widener
Lightweight Measurement and Analysis of HPC Performance Variability. PMBS@SC (2020)
Tu Mai Anh Do, Loïc Pottier, Stephen Thomas, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman
A Novel Metric to Evaluate In Situ Workflows. ICCS (1) (2020)
Jeremy Benson, Trilce Estrada, Mark R. Burge, Peter Soliz
Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning. EMBC (2020)
Esteban Guillen, Trilce Estrada, Matthew Cain
DeepManner: Automatically Determining Manner of Death. IEEE BigData (2019)
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, Debzani Deb, Ujjal Bhowmik, Yuting Chen, Dong San Choi, Zuofu Cheng, Gladys K. Andino, Pete E. Pascuzzi, Mark Daniel Ward
Lightning Talks of EduHPC 2019. EduHPC@SC (2019)
Michela Taufer, Ewa Deelman, Stephen Thomas, Michael R. Wyatt II, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Harel Weinstein, Michel A. Cuendet, Trilce Estrada
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience (2019)
Trilce Estrada, Jeremy Benson, Hector Carrillo-Cabada, Asghar M. Razavi, Michel A. Cuendet, Harel Weinstein, Ewa Deelman, Michela Taufer
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. BCB (2018)
Jeremy Benson, Hector Carrillo, Jeffrey Wigdahl, Sheila C. Nemeth, John Maynard, Gilberto Zamora, E. Simon Barriga, Trilce Estrada, Peter Soliz
Transfer learning for diabetic retinopathy. Medical Imaging: Image Processing (2018)
Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada
In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData (2018)
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 (2018)
Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer, Trilce Estrada
KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. ICPP (2018)
Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. DATA (2017)
Xinyu Chen, Jeremy Benson, Trilce Estrada
keybin: Key-Based Binning for Distributed Clustering. CLUSTER (2017)
Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. 63 (2017)
Xinyu Chen, Trilce Estrada
Index Clustering: A Map-reduce Clustering Approach using Numba. DATA (2017)
Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
Construction of Semantic Data Models. DATA (Revised Selected Papers) (2017)
Thilak R. Balasubramanian, Trilce Estrada
Crowdlearning: A framework for collaborative and personalized learning. FIE (2016)
Jeremy Benson, Trilce Estrada, Arnold L. Rosenberg, Michela Taufer
Scheduling Matters: Area-Oriented Heuristic for Resource Management. SBAC-PAD (2016)
Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
TAO: System for Table Detection and Extraction from PDF Documents. FLAIRS Conference (2016)
Trilce Estrada, Michael R. Wyatt II, Michela Taufer
A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. ICPADS (2015)
Vivek K. Pallipuram, Trilce Estrada, Michela Taufer
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP (2015)
Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji
HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops (2015)
Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer
Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID (2015)
Abdullah Mueen, Hossein Hamooni, Trilce Estrada
Time Series Join on Subsequence Correlation. ICDM (2014)
Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer
Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets. IPDPS (2014)
Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer, Trilce Estrada
Gender and volunteer computing: A survey study. FIE (2014)
Kyle E. Benson, Samuel Schlachter, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran
On the powerful use of simulations in the Quake-Catcher Network to efficiently position low-cost earthquake sensors. Future Gener. Comput. Syst. 29 (8) (2013)
Matthew Wezowicz, Trilce Estrada, Sandeep Patel, Michela Taufer
Performance Dissection of a Molecular Dynamics Code across CUDA and GPU Generations. IPDPS Workshops (2013)
Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer
On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce. CSE (2013)
Trilce Estrada, Kathleen L. Pusecker, Manuel R. Torres, Joanne McGrath Cohoon, Michela Taufer
Benchmarking Gender Differences in Volunteer Computing Projects. e-Science (2013)
Michael Matheny, Samuel Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, Roger S. Armen, Gary M. Zoppetti, Michela Taufer
ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health. eScience (2012)
Trilce Estrada, Boyu Zhang, Michela Taufer, Pietro Cicotti, Roger S. Armen
Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. HPCC-ICESS (2012)
Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer
A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach. Comput. Biol. Medicine 42 (7) (2012)
Trilce Estrada, Michela Taufer
On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems. SC (2012)
Kyle E. Benson, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran
On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. eScience (2011)
Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer
Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce. SC Companion (2011)
Trilce Estrada, Michela Taufer
Providing Quality of Science in Volunteer Computing. HPCC (2011)
Obaidur Rahaman, Trilce Estrada, Douglas J. Doren, Michela Taufer, Charles L. Brooks III, Roger S. Armen
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) (2011)
Trilce Estrada, Roger S. Armen, Michela Taufer
Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing. BCB (2010)
Trilce Estrada, Michela Taufer, Kevin Reed, David P. Anderson
EmBOINC: An emulator for performance analysis of BOINC projects. IPDPS (2009)
Trilce Estrada, Michela Taufer, David P. Anderson
Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC. J. Grid Comput. 7 (4) (2009)
Trilce Estrada, Michela Taufer, Kevin Reed
Modeling Job Lifespan Delays in Volunteer Computing Projects. CCGRID (2009)
James Atlas, Trilce Estrada, Keith Decker, Michela Taufer
Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization. ICCS (1) (2009)
Trilce Estrada, Olac Fuentes, Michela Taufer
A distributed evolutionary method to design scheduling policies for volunteer computing. SIGMETRICS Perform. Evaluation Rev. 36 (3) (2008)
Trilce Estrada, Olac Fuentes, Michela Taufer
A distributed evolutionary method to design scheduling policies for volunteer computing. Conf. Computing Frontiers (2008)
Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Richard Zamudio, Patricia J. Teller, Roger S. Armen, Charles L. Brooks III
Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling. IPDPS (2007)
Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Patricia J. Teller
SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects. PADS (2007)
David A. Flores, Trilce Estrada, Michela Taufer, Patricia J. Teller, Andre Kerstens
Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects. SC (2006)
Trilce Estrada, Abel Licon, Michela Taufer
compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots. ISPA Workshops (2006)
Trilce Estrada, David A. Flores, Michela Taufer, Patricia J. Teller, Andre Kerstens, David P. Anderson
The Effectiveness of Threshold-Based Scheduling Policies in BOINC Projects. e-Science (2006)
Trilce Estrada, Olac Fuentes
Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble. FLAIRS Conference (2005)