Results | IDEALS

↑ ↓

Showing 91–120 of 170 items

Assessment and assurance of autonomous vehicle safety

Cyriac, James

Improved GPU implementations of the Pair-HMM forward algorithm for DNA sequence alignment

Li, Enliang

Predicting gene expression of yeast with deep learning-based sequence model vs linear regression model EMBARGOED

Chang, Kehang

Analysis and design of algorithm-based fault-tolerant systems

Nair, V.S. Sukumaran

Measurement-Based Dependability Analysis and Modeling for Multicomputer Systems

Tang, Dong

Efficient Software Checking for Fault Tolerence

Yu, Jing

A hybrid fault injection environment for measuring system dependability

Young, Luke Titus

Efficient Software Checking for Fault Tolerence

Yu, Jing

Efficient Software Checking for Fault Tolerance

Yu, Jing

HASTAC III Project Evaluation

Franklin, K.; Appleford, S.; Guiliano, J.

Experimental study of software dependability

Kao, Wei-lun

Learning more with less data using domain-guided machine learning: the case for health data analytics

Varatharajah, Yogatheesan

Fault tolerance core: a framework for application-aware reliability

Sidea, Valentin

System Support for Improving Software Dependability During Production Runs

Qin, Feng

Performance analysis of garbage collection and dynamic reordering in a Lisp system

Llames, Rene Lim

Machine learning for security applications under dynamic and adversarial environments

Yang, Limin • 2024

Algorithms for Minimizing Test Sets for CMOS VLSI Circuits

Stancil, Charles Jay

Supporting Dynamic Queries and Annotations Over Data Graphs

Matos Fonseca Da Trindade, Joana

System Support for Improving Software Dependability During Production Runs

Qin, Feng

Blue Waters 2017 Annual Report

Blue Waters Project

Institute of Natural Resource Sustainability 2008-2009 Annual Report

Institute of Natural Resource Sustainability

Simulation of faults causing analog behavior in digital circuits

Yang, Fred Lei

Multi-agent reinforcement learning for nonzero-sum Markov games

Mao, Weichao • 2024

Using Data Mining Techniques to Improve Software Reliability

Li, Zhenmin

Understanding Storage System Problems and Diagnosing Them Through Log Analysis

Jiang, Weihang

Empirical accuracy bounds for next-generation sequencing variant calling workflows

Stephens, Zachary Daniel

Using Data Mining Techniques to Improve Software Reliability

Li, Zhenmin

Scalable Diskless Checkpointing for Large Parallel Systems

Lu, Charng-Da

Detecting and Recovering from In-Core Hardware Faults Through Software Anomaly Treatment

Ramachandran, Pradeep

Performance Evaluation and Modeling Techniques for Parallel Processors

Dimpsey, Robert Tod

Academic Unit

Collection

Author(s)

Keyword(s)

Type of Resource

Assessment and assurance of autonomous vehicle safety

Improved GPU implementations of the Pair-HMM forward algorithm for DNA sequence alignment

Predicting gene expression of yeast with deep learning-based sequence model vs linear regression model EMBARGOED

Analysis and design of algorithm-based fault-tolerant systems

Measurement-Based Dependability Analysis and Modeling for Multicomputer Systems

Efficient Software Checking for Fault Tolerence

A hybrid fault injection environment for measuring system dependability

Efficient Software Checking for Fault Tolerence

Efficient Software Checking for Fault Tolerance

HASTAC III Project Evaluation

Experimental study of software dependability

Learning more with less data using domain-guided machine learning: the case for health data analytics

Fault tolerance core: a framework for application-aware reliability

System Support for Improving Software Dependability During Production Runs

Performance analysis of garbage collection and dynamic reordering in a Lisp system

Machine learning for security applications under dynamic and adversarial environments

Algorithms for Minimizing Test Sets for CMOS VLSI Circuits

Supporting Dynamic Queries and Annotations Over Data Graphs

System Support for Improving Software Dependability During Production Runs

Blue Waters 2017 Annual Report

Institute of Natural Resource Sustainability 2008-2009 Annual Report

Simulation of faults causing analog behavior in digital circuits

Multi-agent reinforcement learning for nonzero-sum Markov games

Using Data Mining Techniques to Improve Software Reliability

Understanding Storage System Problems and Diagnosing Them Through Log Analysis

Empirical accuracy bounds for next-generation sequencing variant calling workflows

Using Data Mining Techniques to Improve Software Reliability

Scalable Diskless Checkpointing for Large Parallel Systems

Detecting and Recovering from In-Core Hardware Faults Through Software Anomaly Treatment

Performance Evaluation and Modeling Techniques for Parallel Processors

Academic Unit

Collection

Author(s)

Keyword(s)

Type of Resource

Predicting gene expression of yeast with deep learning-based sequence model vs linear regression model EMBARGOED

Log In