yusuke1997/dblp-id-title huggingface dataset:
Assessing Sparse Triangular Linear System Solvers on GPUs
Online Sharing-Aware Thread Mapping in Software Transactional Memory
Message from the Workshop Organizers WCC 2023
A Case Study of Performance Optimization in a Heterogeneous Environment
Policy-based Resource Allocation in Hierarchical Virtual Organizations for Global Grids
Improving Fault Tolerance in Blockchain Sharding using One-to-Many Block-to-Shard Mapping
Parallel Implementations of an Immune Network Model Using POSIX Threads and OpenMP
Towards a Deterministic Fine-Grained Task Ordering Using Multi-Versioned Memory
A Preliminary Review of Function as a Service Platform Running with AWS Spot Instances
Scheduling of Recursive and Dynamic Data-Flow Graphs Using Stream Rewriting
PINNProv: Provenance for Physics-Informed Neural Networks
A Novel Broker-Based Hierarchical Authentication Scheme in Proxy Mobile IPv6 Networks
I/O performance of multiscale finite element simulations on HPC environments
A Performance Evaluation of ARM ISA Extension for Elliptic Curve Cryptography over Binary Finite Fields
Spinner: Enhancing HPC Experimentation with a Streamlined Parameter Sweep Tool
memu: Unifying Application Modeling and Cluster Exploitation
Software Synthesis for Hard Real-Time Embedded Systems with Energy Constraints
Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing
An evaluation of Cassandra NoSQL database on a low-power cluster
Parallel Linear Octree Meshing with Immersed Surfaces
Scheduling Independent Stochastic Tasks Under Deadline and Budget Constraints
Parallel Algorithms for Using Lagrangian Markers in Immersed Boundary Method with Adaptive Mesh Refinement in FLASH
Portable checkpointing and communication for BSP applications on dynamic heterogeneous Grid environments
Performance Debugging of GPGPU Applications with the Divergence Map
Object Placement for High Bandwidth Memory Augmented with High Capacity Memory
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
Using Balanced Data Placement to Address I/O Contention in Production Environments
Correct and Efficient Bounded FIFO Queues
Physical and Virtual Partitioning in OLAP Database Clusters
Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training
2015 International Symposium on Computer Architecture and High Performance Computing Workshops, SBAC-PAD Workshops, Florianópolis, Brazil, October 18-21, 2015
Comparison of Static and Runtime Resource Allocation Strategies for Matrix Multiplication
Towards a Peer-to-Peer Framework for Parallel and Distributed Computing
A Programming Interface for Overload Control in Staged Event-Based Architectures
Low-cost Techniques for Reducing Branch Context Pollution in a Soft Realtime Embedded Multithreaded Processor
A Publish/Subscribe System Using Causal Broadcast over Dynamically Built Spanning Trees
IntP: Quantifying cross-application interference via system-level instrumentation
Exigency-based real-time scheduling policy to provide absolute QoS for web services
A New Migration Model based on the Evaluation of Processes Load and Lifetime on Heterogeneous Computing Environments
Characterizing Energy Consumption in Hardware Transactional Memory Systems
Device-Sensitive Framework for Handling Heterogeneous Asymmetric Clusters Efficiently
ACCGen: An Automatic ArchC Compiler Generator
A Highly Efficient SGEMM Implementation using DMA on the Intel/Movidius Myriad-2
GBFS: Efficient Data-Sharing on Hybrid Platforms: Towards adding WAN-Wide Elasticity to DFSes
Characterizing the Dynamic Behavior of Workload Execution in SVM systems
FusedOS: Fusing LWK Performance with FWK Functionality in a Heterogeneous Environment
Accelerating Solution of Generalized Linear Models by Solving Normal Equation Using GPGPU on a Large Real-World Tall-Skinny Data Set
VRM: A Failure-Aware Grid Resource Management System
IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms
ADeLe: Rapid Architectural Simulation for Approximate Hardware
Wide Area BonjourGrid as a Data Desktop Grid: Modeling and Implementation on Top of Redis
Efficient In-Situ Quantum Computing Simulation of Shor's and Grover's Algorithms
Towards Green Scientific Data Compression Through High-Level I/O Interfaces
Cross-Layer Self-Adaptive/Self-Aware System Software for Exascale Systems
Predicting the Energy Consumption of CUDA Kernels using SimGrid
Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods
Extending OmpSs for OpenCL Kernel Co-Execution in Heterogeneous Systems
Cloud Services Evaluation through QoE: A Methodological Approach
Energy-Efficient Time Series Analysis Using Transprecision Computing
X4CP32: A New Parallel/Reconfigurable General-Purpose Processor
Scalable Value-Cache Based Compression Schemes for Multiprocessors
DYAD: Locality-aware Data Management for accelerating Deep Learning Training
On the Efficiency of Register File versus Broadcast Interconnect for Collective Communications in Data-Parallel Hardware Accelerators
Variable-Size Batched Condition Number Calculation on GPUs
Instruction Profiling Based Fetch Throttling for Wasted Dynamic Power Reduction
Automatic Data-Flow Graph Generation of MPI Programs
JRastro: A Trace Agent for Debugging Multithreaded and Distributed Java Programs
Energy Evaluation for Applications with Different Thread Affinities on the Intel Xeon Phi
Impact of I/O Coordination on a NFS-Based Parallel File System with Dynamic Reconfiguration
IEEE 24th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2012, New York, NY, USA, October 24-26, 2012
Towards Profile-Guided Optimization for Safe and Efficient Parallel Stream Processing in Rust
Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory
TailorFS: An Adaptive File System to Support Dynamic I/O requirements of HPC Workloads
Frequency Selection Approach for Energy Aware Cloud Database
Towards Optimizing Computational Costs of Federated Learning in Clouds
Dataflow to Hardware Synthesis Framework on FPGAs
Seriema: RDMA-based Remote Invocation with a Case-Study on Monte-Carlo Tree Search
Data and Instruction Uniformity in Minimal Multi-threading
A Multigrid-Schwarz Method for the Solution of Hydrodynamics and Heat Transfer Problems in Unstructured Meshes
Setting up an experimental framework for analysing an immersion cooling system
GloVE: A Distributed Environment for Low Cost Scalable VoD Systems
Anthill: A Scalable Run-Time Environment for Data Mining Applications
A new parallel environment for interactive simulations implementing safe multithreading with MPI
Improving Virtual Machine Consolidation for Heterogeneous Cloud Computing Datacenters
On the Evaluation of Multi-core Systems with SIMD Engines for Public-Key Cryptography
ASIC Design of Shared Vector Accelerators for Multicore Processors
ProGrid: A Proxy-Based Architecture for Grid Operation and Management
Predicting Loop Termination to Boost Speculative Thread-Level Parallelism in Embedded Applications
SHORT: Can citations tell us about a paper's reproducibility? A case study of machine learning papers
Summer of Reproducibility: Building Global Capacity for Practical Reproducibility through Hands-On Mentorship
Embracing Deep Variability For Reproducibility and Replicability
Longitudinal Study of the Software Environments Produced by Dockerfiles from Research Artifacts: Initial Design
Attempt to rerun, reproduce and replicate Clinical Trials Sentence Classification Studies: lessons learnt
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments
Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, ACM REP 2024, Rennes, France, June 18-20, 2024
Computational Experiment Comprehension using Provenance Summarization
Statistical comparison in empirical computer science with minimal computation usage
Improving reproducibility in bioinformatics workflows with BioFlow-Model
Poster: Toward a Systematic Assessment of Map Reproduction Success Using OCR
On the Reproducibility of Provenance-based Intrusion Detection that uses Deep Learning
Reproducibility for HPC and Distributed Environments: Committees, Nondeterminism, Performance and Workflows
Proceedings of the 3rd ACM Conference on Reproducibility and Replicability, ACM REP 2025, Vancouver, Canada, July 29-31, 2025
Reproducibility in Applied Security Conferences: An 11-Year Review on Artifacts and Evaluation Committees
LLMs in Citation Intent Classification: Progress, Precision, and Reproducibility Challenges
Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries
Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, ACM-REP 2023, Santa Cruz, CA, USA, June 27-29, 2023
MARTE: Malleable and Automated Reproduction for Testbed-driven Experiments
R4R: Reproducibility for R
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness
Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023
Learning from Irreproducibility: Introducing Data Leakage Case Studies for Machine Learning Education
GTP Benchmarks for Gradual Typing Performance
We Need More Reproducibility Content Across the Computer Science Curriculum
A Siren Song of Open Source Reproducibility, Examples from Machine Learning
Evaluating Tools for Enhancing Reproducibility in Computational Scientific Experiments
Executable Science: Research Software Engineering Practices for Replicating Neuroscience Findings
Fingerprinting and Building Large Reproducible Datasets
CompRep: A Dataset For Computational Reproducibility
The Idealized Machine Learning Pipeline (IMLP) for Advancing Reproducibility in Machine Learning
Teaching Reproducibility and Embracing Variability: From Floating-Point Experiments to Replicating Research
Source Code Archiving to the Rescue of Reproducible Deployment
Reproscreener: Leveraging LLMs for Assessing Computational Reproducibility of Machine Learning Pipelines
HPC Benchmarking: Repeat, Replicate, Reproduce
Does the Market of Citations Reward Reproducible Work?
MLXP: A framework for conducting replicable experiments in Python
Towards Reproducible Execution of Closed-Source Applications from Internet Archives
Resurrecting the Dead: GenAI-Powered Workflow Revival
Integrated Reproducibility with Self-describing Machine Learning Models
Experience with Reproducibility and Consistency in Writing an Academic Paper
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging
Lessons Learned from Five Years of Artifact Evaluations at EuroSys
A Reproducible and Open-Source Testbed for Satellite Cybersecurity
Helical: A High Level Language Framework for Specifying Hypotheses and Experiments
Implementing a Reproducibility Initiative in HPC: Experiences from SC'24
A benchmark suite and performance analysis of user-space provenance collectors
Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks
Twelve Tips for Reproducible Analysis of Single-Cell Transcriptomics Data
Raising the Reproducibility Bar
Towards Evidence-Based Software Quality Practices for Reproducibility: Preliminary Results and Research Directions
Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users
LogFlux: A Software Suite for Replicating Results in Automated Log Parsing
Hardware Cost Evaluation in Systems Security
Towards Evidence-Based Software Quality Practices for Reproducibility: Practices and Aligned Software Qualities
Context is Key for Reproducibility of Empirical Studies in Human-Computer Interaction
Checklists for Computational Reproducibility in Social Sciences: Insights from Literature and Survey Evaluation
Brightness-Invariant Tracking Estimation in Tagged MRI
Digital Homeomorphisms in Deformable Registration
Systematic Assessment of Performance Prediction Techniques in Medical Image Classification A Case Study on Celiac Disease
IGG: Image Generation Informed by Geodesic Dynamics in Deformation Spaces
A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis
High-Dimensional Entropy Estimation for Finite Accuracy Data: R -NN Entropy Estimator
Multivariate Gaussian Pattern Classification: Effects of Finite Sample Size and the Addition of Correlated of Noisy Features on Summary Measures of Goodness
Information Processing in Medical Imaging, 14th International Conference, IPMI'95, Ile de Berder, France, June 1995, Proceedings
Model Generation from Multiple Volumes Using Constrained Elastic SurfaceNets
Scale-Space: Its Natural Operators and Differential Invariants
A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification
Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models
A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI
Estimating the Confidence of Statistical Model Based Shape Prediction
Knowledge-Driven Automated Detection of Pleural Plaques and Thickening in High Resolution CT of the Lung
Parameterized Feasible Boundaries in Gradient Vector Fields
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images
Automatic Detection of Brain Contours in MRI Data Sets
Ground Truth for Diffusion MRI in Cancer: A Model-Based Investigation of a Novel Tissue-Mimetic Material
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis
Multi-figure Anatomical Objects for Shape Statistics
Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model
Co-dimension 2 Geodesic Active Contours for MRA Segmentation
Dynamic Dual-Tracer PET Reconstruction
Learning of Uncertain Classification Rules in Biomedical Images: The Case of Colposcopic Images
A Framework for Registration, Statistical Characterization and Classification of Cortically Constrained Functional Imaging Data
Detection of Crossing White Matter Fibers with High-Order Tensors and Rank- k Decompositions
Detection of the Central Mass of Spiculated Lesions - Signature Normalisation and Model Data Aspects
Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation
Constructing Diffeomorphic Representations of Non-rigid Registrations of Medical Images
Diffeomorphic Medial Modeling
3D Graph Description of the Intracerebral Vasculature from Segmented MRA and Tests of Accuracy by Comparison with X-ray Angiograms
Estimation of the Hemodynamic Response Function in Event-Related Functional MRI: Directed Acyclic Graphs for a General Bayesian Inference Framework
Computer Simulation of Convection and Diffusion Effects on Velocity Estimations from X-Ray Contrast Density Time Curves
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion
Nonlinear Smoothing of MR Images Using Approximate Entropy - A Local Measure of Signal Intensity Irregularity
Colocalization Estimation Using Graphical Modeling and Variational Bayesian Expectation Maximization: Towards a Parameter-Free Approach
Divergence-Based Framework for Diffusion Tensor Clustering, Interpolation, and Regularization
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models
Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information
Marker Guided Registration of Electromagnetic Dipole Data with Tomographic Images
SafeTriage: Facial Video De-identification for Privacy-Preserving Stroke Triage
Space-Time Statistical Model for Functional MRI Image Sequences
Using Uncertainty to Link 3D Edge Detection and Local Surface Modelling
Multi-subject Dictionary Learning to Segment an Atlas of Brain Spontaneous Activity
The Shape Operator for Differential Analysis of Images
Topology Preservation and Regularity in Estimated Deformation Fields
A Unified Variational Approach to Denoising and Bias Correction in MR
Graph Convolutional Nets for Tool Presence Detection in Surgical Videos
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images
Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network
Extraction of Background Distributions from Abnormal Data Sets: Application to Radiolabelled Leucocyte Imaging
LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
Dissimilarity-Based Classification of Anatomical Tree Structures
Approximations of the Diffeomorphic Metric and Their Applications in Shape Learning
The 3D Moore-Rayleigh Test for the Quantitative Groupwise Comparison of MR Brain Images
Multi-view Active Appearance Models: Application to X-Ray LV Angiography and Cardiac MRI
Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries
Exploratory fMRI Analysis without Spatial Normalization
Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity
Meshfree Representation and Computation: Applications to Cardiac Motion Analysis
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties
Coupled Minimum-Cost Flow Cell Tracking
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification
A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration
Diffusion MRI Registration Using Orientation Distribution Functions
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks
Measuring the Spatial Homogeneity in Corneal Endotheliums by Means of a Randomization Test
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases
Surgical Probe Design for a Coincidence Imaging System Without a Collimator
Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles
MEG Source Imaging Using Multipolar Expansions
Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population
Unified Statistical Approach to Cortical Thickness Analysis
Construction of Multi-scale Common Brain Networks Based on DICCCOL
Medial Models Incorporating Object Variability for 3D Shape Analysis
Detection of Arterial Calcification in Mammograms by Random Walks
Robust Multimodal Image Registration Using Local Frequency Representations
A Fast Mutual Information Method for Multi-modal Registration
Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization
Neighbor-Constrained Segmentation with 3D Deformable Models
PET Image Reconstruction: A Robust State Space Approach
Higher Order Differential Structure of Images
Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge
Localization Estimation Algorithm (LEA): A Supervised Prior-Based Approach for Solving the EEG/MEG Inverse Problem
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18 F-FDG PET
Microvascular Dynamics in the Nailfolds of Scleroderma Patients Studied Using Na-fluorescein Dye
Automated Detection of Junctions Structures and Tracking of Their Trajectories in 4D Images
Automated Segmentation of the Cerebellar Lobules Using Boundary Specific Classification and Evolution
Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space
A Generative Approach for Image-Based Modeling of Tumor Growth
Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study
Voxel Similarity Measures for 3D Serial MR Brain Image Registration
GeoT: Geometry-Guided Instance-Dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation
Approximating Anatomical Brain Connectivity with Diffusion Tensor MRI Using Kernel-Based Diffusion Simulations
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Cascaded Diffusion Model and Segment Anything Model for Medical Image Synthesis via Uncertainty-Guided Prompt Generation
Segmentation of Medical Image Objects Using Deformable Shape Loci
Template-Based Multimodal Joint Generative Model of Brain Data
A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI
Two Alternative Forced Choice Evaluation of Vessel Visibility Increases Due to Zero-filled Interpolation in MR Angiography
Probabilistic Elastography: Estimating Lung Elasticity
Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information
Incorporating Patient Breathing Variability into a Stochastic Model of Dose Deposition for Stereotactic Body Radiation Therapy
Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings
Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex
Real Time 3D Brain Shift Compensation
Population-Based Fitting of Medial Shape Models with Correspondence Optimization
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
Globally Optimal Cortical Surface Matching with Exact Landmark Correspondence
Volume Measurement in Sequential Freehand 3-D Ultrasound
Segmentation of Magnetic Resonance Brain Images Using Analog Constraint Satisfaction Neural Networrks
Validation of Non-rigid Registration Using Finite Element Methods
Towards a Quantified Network Portrait of a Population
Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition
A Non-rigid Registration Framework That Accommodates Resection and Retraction
Integrating Convolutional Neural Networks and Probabilistic Graphical Modeling for Epileptic Seizure Detection in Multichannel EEG
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Radial Basis Function Interpolation for Freehand 3D Ultrasound
A Longitudinal Model for Tau Aggregation in Alzheimer's Disease Based on Structural Connectivity
Optimal Deformable Surface Models for 3D Medical Image Analysis
Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
Non-rigid Curve Correspondence for Estimating Heart Motion
Automatic Landmark Identification Using a New Method of Non-rigid Correspondence
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Actin Filament Segmentation Using Dynamic Programming
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion
From Spatial Regularization to Anatomical Priors in fMRI Analysis
Population Based Image Imputation
Multiresolution Diffeomorphic Mapping for Cortical Surfaces
Unsupervised Learning of Functional Network Dynamics in Resting State fMRI
Computer Assisted Human Follicle Analysis for Fertility Prospects with 3D Ultrasound
Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation