Trilce Estrada

63 papers A* 1A 5B 12C 8Misc 3Journal 11Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Global explainability of a deep abstaining classifier. CoRR Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon, Trilce Estrada, Kumkum Ganguly, Adam Spannaus, John P. Gounley, Xiao-Cheng Wu, Eric B. Durbin, Heidi A. Hanson, Tanmoy Bhattacharya
2025	Misc	`conf`	Grey-Box Machine Learning Prediction of Parallel Application Scaling. HiPC Akhil Alasandagutti, Patrick G. Bridges, Trilce Estrada
2023	B	`conf`	DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. DaWaK Adnan Bashir, Trilce Estrada
2023	—	`conf`	NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. SIGCSE (2) Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel
2023	B	`conf`	Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada
2023	—	`conf`	Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer
2022	J	`jnl`	APE: Metrics for understanding application performance efficiency under power caps. Sustain. Comput. Informatics Syst. David Debonis, Trilce Estrada, Ryan E. Grant, Kevin T. Pedretti, James H. Laros III, Dorian C. Arnold
2021	J	`jnl`	A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. IEEE ACM Trans. Comput. Biol. Bioinform. Hector Carrillo-Cabada, Jeremy Benson, Asghar M. Razavi, Brianna Mulligan, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada
2021	C	`conf`	A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. CLUSTER Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall, Miron Livny
2021	B	`conf`	A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective. e-Science Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall
2021	J	`jnl`	A lightweight method for evaluating J. Comput. Sci. Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman
2021	—	`conf`	PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. IEEE BigData Nidia Yadira Vaquera Chavez, Trilce Estrada
2020	—	`conf`	A Novel Metric to Evaluate In Situ Workflows. ICCS (1) Tu Mai Anh Do, Loïc Pottier, Stephen Thomas, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman
2020	—	`conf`	Diabetic Peripheral Neuropathy Risk Assessment using Digital Fundus Photographs and Machine Learning. EMBC Jeremy Benson, Trilce Estrada, Mark R. Burge, Peter Soliz
2020	—	`conf`	Lightweight Measurement and Analysis of HPC Performance Variability. PMBS@SC Jered Dominguez-Trujillo, Keira Haskins, Soheila Jafari Khouzani, Christopher Leap, Sahba Tashakkori, Quincy Wofford, Trilce Estrada, Patrick G. Bridges, Patrick M. Widener
2019	—	`conf`	Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience 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
2019	—	`conf`	DeepManner: Automatically Determining Manner of Death. IEEE BigData Esteban Guillen, Trilce Estrada, Matthew Cain
2019	—	`conf`	Lightning Talks of EduHPC 2019. EduHPC@SC 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
2018	—	`conf`	Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. BCB Trilce Estrada, Jeremy Benson, Hector Carrillo-Cabada, Asghar M. Razavi, Michel A. Cuendet, Harel Weinstein, Ewa Deelman, Michela Taufer
2018	—	`conf`	In situ TensorView: In situ Visualization of Convolutional Neural Networks. IEEE BigData Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Paul Ahrens, Trilce Estrada
2018	J	`jnl`	In situ TensorView: In situ Visualization of Convolutional Neural Networks. CoRR Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, James P. Ahrens, Trilce Estrada
2018	B	`conf`	KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. ICPP Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer, Trilce Estrada
2018	B	`conf`	Transfer learning for diabetic retinopathy. Image Processing Jeremy Benson, Hector Carrillo, Jeffrey Wigdahl, Sheila C. Nemeth, John Maynard, Gilberto Zamora, E. Simon Barriga, Trilce Estrada, Peter Soliz
2017	—	`conf`	Construction of Semantic Data Models. DATA (Revised Selected Papers) Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
2017	J	`jnl`	Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer
2017	C	`conf`	Index Clustering: A Map-reduce Clustering Approach using Numba. DATA Xinyu Chen, Trilce Estrada
2017	C	`conf`	Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. DATA Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
2017	C	`conf`	keybin: Key-Based Binning for Distributed Clustering. CLUSTER Xinyu Chen, Jeremy Benson, Trilce Estrada
2016	C	`conf`	Crowdlearning: A framework for collaborative and personalized learning. FIE Thilak R. Balasubramanian, Trilce Estrada
2016	C	`conf`	Scheduling Matters: Area-Oriented Heuristic for Resource Management. SBAC-PAD Jeremy Benson, Trilce Estrada, Arnold L. Rosenberg, Michela Taufer
2016	Misc	`conf`	TAO: System for Table Detection and Extraction from PDF Documents. FLAIRS Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota
2015	B	`conf`	A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. ICPADS Trilce Estrada, Michael R. Wyatt II, Michela Taufer
2015	B	`conf`	A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP Vivek K. Pallipuram, Trilce Estrada, Michela Taufer
2015	B	`conf`	Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer
2015	—	`conf`	HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji
2014	A	`conf`	Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets. IPDPS Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer
2014	C	`conf`	Gender and volunteer computing: A survey study. FIE Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer, Trilce Estrada
2014	A*	`conf`	Time Series Join on Subsequence Correlation. ICDM Abdullah Mueen, Hossein Hamooni, Trilce Estrada
2013	B	`conf`	Benchmarking Gender Differences in Volunteer Computing Projects. e-Science Trilce Estrada, Kathleen L. Pusecker, Manuel R. Torres, Joanne McGrath Cohoon, Michela Taufer
2013	—	`conf`	On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology Using MapReduce. CSE Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer
2013	J	`jnl`	On the powerful use of simulations in the Quake-Catcher Network to efficiently position low-cost earthquake sensors. Future Gener. Comput. Syst. Kyle E. Benson, Samuel Schlachter, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran
2013	—	`conf`	Performance Dissection of a Molecular Dynamics Code across CUDA and GPU Generations. IPDPS Workshops Matthew Wezowicz, Trilce Estrada, Sandeep Patel, Michela Taufer
2012	J	`jnl`	A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach. Comput. Biol. Medicine Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer
2012	—	`conf`	ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health. eScience Michael Matheny, Samuel Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, Roger S. Armen, Gary M. Zoppetti, Michela Taufer
2012	A	`conf`	On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems. SC Trilce Estrada, Michela Taufer
2012	—	`conf`	Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. HPCC-ICESS Trilce Estrada, Boyu Zhang, Michela Taufer, Pietro Cicotti, Roger S. Armen
2011	J	`jnl`	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. Obaidur Rahaman, Trilce Estrada, Douglas J. Doren, Michela Taufer, Charles L. Brooks III, Roger S. Armen
2011	—	`conf`	On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. eScience Kyle E. Benson, Trilce Estrada, Michela Taufer, Jesse Lawrence, Elizabeth Cochran
2011	—	`conf`	Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce. SC Companion Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer
2011	C	`conf`	Providing Quality of Science in Volunteer Computing. HPCC Trilce Estrada, Michela Taufer
2010	—	`conf`	Automatic selection of near-native protein-ligand conformations using a hierarchical clustering and volunteer computing. BCB Trilce Estrada, Roger S. Armen, Michela Taufer
2009	—	`conf`	Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization. ICCS (1) James Atlas, Trilce Estrada, Keith Decker, Michela Taufer
2009	A	`conf`	EmBOINC: An emulator for performance analysis of BOINC projects. IPDPS Trilce Estrada, Michela Taufer, Kevin Reed, David P. Anderson
2009	B	`conf`	Modeling Job Lifespan Delays in Volunteer Computing Projects. CCGRID Trilce Estrada, Michela Taufer, Kevin Reed
2009	J	`jnl`	Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC. J. Grid Comput. Trilce Estrada, Michela Taufer, David P. Anderson
2008	—	`conf`	A distributed evolutionary method to design scheduling policies for volunteer computing. Conf. Computing Frontiers Trilce Estrada, Olac Fuentes, Michela Taufer
2008	J	`jnl`	A distributed evolutionary method to design scheduling policies for volunteer computing. SIGMETRICS Perform. Evaluation Rev. Trilce Estrada, Olac Fuentes, Michela Taufer
2007	A	`conf`	Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling. IPDPS Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Richard Zamudio, Patricia J. Teller, Roger S. Armen, Charles L. Brooks III
2007	B	`conf`	SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects. PADS Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Patricia J. Teller
2006	A	`conf`	Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects. SC David A. Flores, Trilce Estrada, Michela Taufer, Patricia J. Teller, Andre Kerstens
2006	B	`conf`	The Effectiveness of Threshold-Based Scheduling Policies in BOINC Projects. e-Science Trilce Estrada, David A. Flores, Michela Taufer, Patricia J. Teller, Andre Kerstens, David P. Anderson
2006	—	`conf`	compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots. ISPA Workshops Trilce Estrada, Abel Licon, Michela Taufer
2005	Misc	`conf`	Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble. FLAIRS Trilce Estrada, Olac Fuentes