yusuke1997/dblp-id-title huggingface dataset:
CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave
Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network
Neuroimaging workflow design and data-mining: a Frontiers in Neuroinformatics special issue
BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience
VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output
Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer's Disease: A Structural Imaging Study
An ontological approach to describing neurons and their relationships
Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data
Neuronvisio: A Graphical User Interface with 3D Capabilities for NEURON
Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network
Brain-Wide Mapping of Axonal Connections: Workflow for Automated Detection and Spatial Analysis of Labeling in Microscopic Sections
Constructing Neuronal Network Models in Massively Parallel Environments
The GridCAT: A Toolbox for Automated Analysis of Human Grid Cell Codes in fMRI
Initial-Dip Existence and Estimation in Relation to DPF and Data Drift
ConGen - A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks
PyXNAT: XNAT in Python
Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI
MINC 2.0: A Flexible Format for Multi-Modal Images
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure
Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI
Toward open sharing of task-based fMRI data: the OpenfMRI project
Visualization, Interaction and Tractometry: Dealing with Millions of Streamlines from Diffusion MRI Tractography
Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation
Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia
SIMA: Python software for analysis of dynamic fluorescence imaging data
Channelpedia: An Integrative and Interactive Database for Ion Channels
CACTUS: a computational framework for generating realistic white matter microstructure substrates
Your Brain on the Movies: A Computational Approach for Predicting Box-office Performance from Viewer's Brain Responses to Movie Trailers
PyMOOSE: interoperable scripting in Python for MOOSE
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis
An updated analysis of the association between CD2-associated protein gene rs9349407 polymorphism and Alzheimer's disease in Chinese population
Neuromantic - from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions
Local active information storage as a tool to understand distributed neural information processing
Interplay between topology and dynamics in excitation patterns on hierarchical graphs
Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience
Accurate segmentation of neonatal brain MRI with deep learning
Using NEURON for Reaction-Diffusion Modeling of Extracellular Dynamics
Constructing Brain Connectivity Model Using Causal Network Reconstruction Approach
A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds
M3: using mask-attention and multi-scale for multi-modal brain MRI classification
NeuroManager: a workflow analysis based simulation management engine for computational neuroscience
Mapping Histological Slice Sequences to the Allen Mouse Brain Atlas Without 3D Reconstruction
Integrative Base Ontology for the Research Analysis of Alzheimer's Disease-Related Mild Cognitive Impairment
Going beyond the current neuroinformatics infrastructure
LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2
Application of Ferulic Acid for Alzheimer's Disease: Combination of Text Mining and Experimental Validation
High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging
Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas
A review of risk concepts and models for predicting the risk of primary stroke
Neural field simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network
SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques
Can micro-expressions be used as a biomarker for autism spectrum disorder?
Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri)
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System
Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages
Large language models can extract metadata for annotation of human neuroimaging publications
Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents
Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage
Functional MRI study of feedback-based reinforcement learning in depression
Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases
A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users
A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience
The pipeline system for Octave and Matlab (PSOM): a lightweight scripting framework and execution engine for scientific workflows
Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics
Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
Editorial: Reproducible analysis in neuroscience
Integrating neuroinformatics tools in TheVirtualBrain
A case study in connectomics: the history, mapping, and connectivity of the claustrum
Building the Ferretome
Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format
Visualizing data mining results with the Brede tools
Mapping and Validating a Point Neuron Model on Intel's Neuromorphic Hardware Loihi
ToolConnect: A Functional Connectivity Toolbox for In vitro Networks
NFBLab - A Versatile Software for Neurofeedback and Brain-Computer Interface Research
Hardware-accelerated interactive data visualization for neuroscience in Python
Development and Reorganization of Orientation Representation in the Cat Visual Cortex: Experience-Dependent Synaptic Rewiring in Early Life
Unsupervised method for representation transfer from one brain to another
Perception and hierarchical dynamics
Corrigendum: ToolConnect: A Functional Connectivity Toolbox for In vitro Networks
Robust quasi-uniform surface meshing of neuronal morphology using line skeleton-based progressive convolution approximation
Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence
Stimulation Modeling on Three-Dimensional Anisotropic Diffusion of MRI Tracer in the Brain Interstitial Space
Bivariate and Multivariate NeuroXidence: A Robust and Reliable Method to Detect Modulations of Spike-Spike Synchronization Across Experimental Conditions
Quantifying How Staining Methods Bias Measurements of Neuron Morphologies
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration
Generalized Laminar Population Analysis (gLPA) for Interpretation of Multielectrode Data from Cortex
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations
AngoraPy: A Python toolkit for modeling anthropomorphic goal-driven sensorimotor systems
SCoT: a Python toolbox for EEG source connectivity
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases
FlywheelTools: Data Curation and Manipulation on the Flywheel Platform
A Waveform-Independent Measure of Recurrent Neural Activity
Optimizing Computer-Brain Interface Parameters for Non-invasive Brain-to-Brain Interface
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks
Python for large-scale electrophysiology
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines
Explicit B-spline regularization in diffeomorphic image registration
Reproducibility vs. Replicability: A Brief History of a Confused Terminology
An Automatic Method for Nucleus Boundary Segmentation Based on a Closed Cubic Spline
The pursuit of approaches to federate data to accelerate Alzheimer's disease and related dementia research: GAAIN, DPUK, and ADDI
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
The Topographical Mapping in Drosophila Central Complex Network and Its Signal Routing
Establishing a nomogram to predict refracture after percutaneous kyphoplasty by logistic regression
Leveraging deep learning for robust EEG analysis in mental health monitoring
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation
Pain Research Forum: application of scientific social media frameworks in neuroscience
Handling Metadata in a Neurophysiology Laboratory
Large-Scale Simulation of a Layered Cortical Sheet of Spiking Network Model Using a Tile Partitioning Method
Semantic framework for mapping object-oriented model to semantic web languages
Automated Detection of Stereotypical Motor Movements in Autism Spectrum Disorder Using Recurrence Quantification Analysis
Constructing the resting state structural connectome
Generalized Cross-Frequency Decomposition: A Method for the Extraction of Neuronal Components Coupled at Different Frequencies
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources
Editorial: Emerging trends in large-scale data analysis for neuroscience research
DESCG: data encoding scheme classification with GNN in binary analysis
A framework for supporting dynamic systems co-evolution
A System for Generating Reverse Engineering Tools: A Case Study of Software Modularisation
Deviation Analysis: A New Use of Model Checking
Column for the Automated Software Engineering Journal
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm
Estimating the feasibility of transition paths in extended finite state machines
Revisiting file context for source code summarization
SUDS: an infrastructure for creating dynamic software defect detection tools
Counterexample-guided abstraction refinement for linear programs with arrays
Software testing for extended reality applications: a systematic mapping study
Domain-constrained synthesis of inconsistent key aspects in textual vulnerability descriptions
The DSD Schema Language
Desert Island Reading Assignment
Fast extraction of high-quality framework-specific models from application code
Diversity maximization speedup for localizing faults in single-fault and multi-fault programs
Applying Plan Recognition Algorithms To Program Understanding
Faster discovery of faster system configurations with spectral learning
Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning
Generic patch inference
Model driven code checking
UAV surveillance for violence detection and individual identification
Guest editorial: advanced topics in automated software engineering
Rethinking AI code generation: a one-shot correction approach based on user feedback
A final editorial
AutoODC: Automated generation of orthogonal defect classifications
Coevolutionary scheduling of dynamic software project considering the new skill learning
Desert Island Column
Improving prompt tuning-based software vulnerability assessment by fusing source code and vulnerability description
Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineering
Model-driven allocation engineering: specifying and solving constraints based on the example of automotive systems
Artificial intelligence and machine learning in enhancing software project management processes: A systematic literature review
Sharif-TaaWS: a tool to automate unit testing of web services
Reinforcement learning for mutation operator selection in automated program repair
JWalk: a tool for lazy, systematic testing of java classes by design introspection and user interaction
An integrated framework for the analysis of dependable interactive systems (IFADIS): Its tool support and evaluation
Operational definition and automated inference of test-driven development with Zorro
Enhancing multi-objective test case selection through the mutation operator
Data error locations reported by public auditing in cloud storage service
Bash command comment generation via multi-scale heterogeneous feature fusion
Monitoring and diagnosing software requirements
Considering dependencies between bug reports to improve bugs triage
Context-aware code summarization with multi-relational graph neural network
A semantic framework for metamodel-based languages
Report on the Second IEEE International Symposium on Requirements Engineering (RE '95), York, UK, 27-29 March 1995
Behaviour Analysis of Distributed Systems Using the Tracta Approach
Desert island column
AIDM: artificial intelligent for digital museum autonomous system with mixed reality and software-driven data collection and analysis
A survey on search-based model-driven engineering
LLM-enhanced evolutionary test generation for untyped languages
Overlaps in Requirements Engineering
ALBA: a model-driven framework for the automatic generation of android location-based apps
Explicit modeling of semantics associated with composite states in UML statecharts
Keyword programming in Java
SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software
Report on the First Working Conference on Reverse Engineering, May 21-23, 1993, Baltimore, Maryland, in conjunction with the International Conference on Software Engineering
CREWS-SAVRE: Scenarios for Acquiring and Validating Requirements
OneLog: towards end-to-end software log anomaly detection
Tab: template-aware bug report title generation via two-phase fine-tuned models
Quality assessment framework to rank software projects
Tool support for assurance case development
Semi-supervised software vulnerability assessment via code lexical and structural information fusion
A CASE Tool for Software Architecture Design
An empirical study of data sampling techniques for just-in-time software defect prediction
Interactive and Probabilistic Proof of Mobile Code Safety
A method and tools for large scale scenarios
Can AI serve as a substitute for human subjects in software engineering research?
Editorial: ASE 2011 conference trip report
Formal Specifications of User Requirements
AbstFinder, A Prototype Natural Language Text Abstraction Finder for Use in Requirements Elicitation
Software defect prediction: future directions and challenges
A systematic mapping study on automated negotiation for autonomous intelligent systems
FastTagRec: fast tag recommendation for software information sites
Multi-view adaptive contrastive learning for information retrieval based fault localization
A Specification-Based Approach to Concurrency Analysis
SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning
Modeling user concerns in Sharing Economy: the case of food delivery apps
Automatic assistance to mitigate rollback inconsistencies in collaborative edits
Differential precondition checking: a language-independent, reusable analysis for refactoring engines
Leveraging structural properties of source code graphs for just-in-time bug prediction
Towards the identification of bug entities and relations in bug reports
An empirical study of automated privacy requirements classification in issue reports
Prioritizing test cases with string distances
Cloud refactoring: automated transitioning to cloud-based services
How verified (or tested) is my code? Falsification-driven verification and testing
Desert Island Reading: A Software Engineering Perspective
Enhanced neighborhood metric for spreadsheet fault prediction
Correction to: Data-driven prototyping via natural-language-based GUI retrieval
Extending Design Environments to Software Architecture Design
Logic of Change: Semantics of Object Systems with Active Relations
Desert Island column
Guest Editorial: Software Engineering for Mobility
From code to insight: studying code representation techniques for ML-based God class detection to support intelligent IDEs
Automatic Construction of XML-Based Tools Seen as Meta-Programming
Specifying and Automatically Generating a Specialization Tool for Fortran 90
Envisioning responsible quantum software engineering and quantum artificial intelligence
Efficient QoS aware two-layer service allocation in hybrid mobile cloud
Fault localization using itemset mining under constraints
Algorithm selection for software validation based on graph kernels
A knowledge-based prototyping environment for construction of scientific modeling software
An Approach for Recovering Distributed System Architectures
Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation
Refactoring techniques for aggressive object inlining in Java applications
Behind the scenes in SANTE: a combination of static and dynamic analyses
An integrated crosscutting concern migration strategy and its semi-automated application to JHotDraw
A first editorial
Automated software engineering: supporting understanding
SiaLog: detecting anomalies in software execution logs using the siamese network
Representing Software Engineering Knowledge
Flexible feature binding in software product lines
Lightweight Formalisation in Support of Requirements Engineering
Improving code completion with program history
AppSPIN: reconfiguration-based responsiveness testing and diagnosing for Android Apps
Model checking strategy-controlled systems in rewriting logic
Kima: An Automated Error Correction System for Concurrent Logic Programs
A model-driven framework for developing android-based classic multiplayer 2D board games
HealMA: a model-driven framework for automatic generation of IoT-based Android health monitoring applications
On the Reuse of Software: A Case-Based Approach Employing a Repository
BRMDS: an LLM-based multi-dimensional summary generation approach for bug reports
Evaluation of a traceability approach for informal freehand sketches
Test case prioritization using test case diversification and fault-proneness estimations
Quantum software engineering and potential of quantum computing in software engineering research: a review
Efficient and formal generalized symbolic execution
SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration
Separating sequence overlap for automated test sequence generation
Modeling hierarchical usage context for software exceptions based on interaction data
Developing domain-oriented design environments - The question is how , not why
Bmco-o: a smart code smell detection method based on co-occurrences
Commentary on "Domain-oriented design environments" by Gerhard Fischer
Experience report on applying software analytics in incident management of online service
Mathematical model of social behavior for the allocation of members in software development teams
Bug reports priority classification models. Replication study
A family of experiments to investigate the effects of groupware for software inspection
A holistic approach to software fault prediction with dynamic classification
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement
Design by Framework Completion
Improving web service interfaces modularity using multi-objective optimization
HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework
Requirement falsification for cyber-physical systems using generative models
Model Checking Complete Requirements Specifications Using Abstraction
Correction to: A class integration test order generation approach based on Sarsa algorithm
Enhance code search via reformulating queries with evolving contexts
An approach to translating OCL invariants into OWL 2 DL axioms for checking inconsistency
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project
Can we generate shellcodes via natural language? An empirical study
Which neural network makes more explainable decisions? An approach towards measuring explainability
Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset
Generating a checking sequence with a minimum number of reset transitions
Industrial Applications of Software Synthesis via Category Theory-Case Studies Using Specware
Understanding the value of considering client usage context in package cohesion for fault-proneness prediction
HMPT: a human-machine cooperative program translation method
Unit testing performance with Stochastic Performance Logic
Automated verification of model transformations based on visual contracts
6G secure quantum communication: a success probability prediction model
Modeling Architecture Description Languages Using AML
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks
PTSSBench: a performance evaluation platform in support of automated parameter tuning of software systems
Requirements and Specification Exemplars
Online ontological quality assessment of converted UML class diagrams in SRE
Compositional model checking of software product lines using variation point obligations
Recent Trends and Open Issues in Reverse Engineering
Test-suite-guided discovery of least privilege for cloud infrastructure as code
From UML/SPT models to schedulability analysis: approach and a prototype implementation using ATL
A comparative study between android phone and TV apps
TM-fuzzer: fuzzing autonomous driving systems through traffic management
Automated program understanding by concept recognition