yusuke1997/dblp-id-title huggingface dataset:
A comprehensive review of privacy challenges and anonymization strategies in online social networks
Enhanced image forensics using dynamic authentication and recovery with CRC and chaos mapping
Internet of Things and 5G are the revolution to the banking industry using neuro-fuzzy technique
Neural Semantic Personalized Ranking for item cold-start recommendation
Implementation of exact and approximate adder based divider for error resilient applications
A passage-based approach to learning to rank documents
Hybrid query expansion model for text and microblog information retrieval
Security and efficiency improvement of internet financial payment based on blockchain technology
A selective approach to index term weighting for robust information retrieval based on the frequency distributions of query terms
User interest prediction over future unobserved topics on social networks
When do people use query suggestion? A query suggestion log analysis
TREC genomics special issue overview
Lumping algorithms for computing Google's PageRank and its derivative, with attention to unreferenced nodes
‏Data and image processing for intelligent glaucoma detection and optic disc segmentation using deep convolutional neural network architecture
Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking
Supply chain risk prediction using elite attentive foraging optimized incremental distributed learning based deep gradient boosting model
Recommending Flickr groups with social topic model
Guest editorial: Special issue on information retrieval for social media
Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering
Quantum and Randomised Algorithms for Non-linearity Estimation
A New Error-Modeling of Hardy's Paradox for Superconducting Qubits and Its Experimental Verification
Quantum Hoare Logic with Classical Variables
Extending C++ for Heterogeneous Quantum-Classical Computing
Best Approximate Quantum Compiling Problems
Algorithmic Theory of Qubit Routing in the Linear Nearest Neighbor Architectures
Switching Time Optimization for Binary Quantum Optimal Control
Rigidity of Superdense Coding
Quantum Computing with Differentiable Quantum Transforms
A Backend-agnostic, Quantum-classical Framework for Simulations of Chemistry in C++
Completeness of Graphical Languages for Mixed State Quantum Mechanics
Non-Interactive and Non-Destructive Zero-Knowledge Proofs on Quantum States and Multi-Party Generation of Authorized Hidden GHZ States
Lessons from Twenty Years of Quantum Image Processing
Practical Quantum Computing: Solving the Wave Equation Using a Quantum Approach
Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale
A Characterization of Quantum Generative Models
Gene Expression Programming for Quantum Computing
Lazy Qubit Reordering for Accelerating Parallel State-Vector-based Quantum Circuit Simulation
Multimarked Spatial Search by Continuous-Time Quantum Walk
Leveraging State Sparsity for More Efficient Quantum Simulations
Multilevel Combinatorial Optimization across Quantum Architectures
Q-SupCon: Quantum-Enhanced Supervised Contrastive Learning Architecture within the Representation Learning Framework
Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
A Quantum Algorithm for the Sub-graph Isomorphism Problem
QuL: Programming Library for Computational Cooling of Qubits
ARQUIN: Architectures for Multinode Superconducting Quantum Computers
Using Reinforcement Learning to Perform Qubit Routing in Quantum Compilers
Inaugural Issue Editorial for ACM Transactions on Quantum Computing
Automating NISQ Application Design with Meta Quantum Circuits with Constraints (MQCC)
OpenQASM 3: A Broader and Deeper Quantum Assembly Language
Approximating Decision Diagrams for Quantum Circuit Simulation
Lowering the T-depth of Quantum Circuits via Logic Network Optimization
Improving the exploitability of Simulated Adiabatic Bifurcation through a flexible and open-source digital architecture
The Effect of Penalty Factors of Constrained Hamiltonians on the Eigenspectrum in Quantum Annealing
What Quantum Can Learn from Classical Computer Engineering
Optimizing Initial State of Detector Sensors in Quantum Sensor Networks
Approximate Quantum Compiling for Quantum Simulation: A Tensor Network Based Approach
Extending Python for Quantum-classical Computing via Quantum Just-in-time Compilation
Introduction to the Special issue on the Techniques of Programming Languages, Logic, and Formal Methods in Quantum Computing
Improving the Variational Quantum Eigensolver Using Variational Adiabatic Quantum Computing
Optimal Toffoli-Depth Quantum Adder
Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features
On the Representation of Boolean and Real Functions as Hamiltonians for Quantum Computing
On the Impact of Affine Loop Transformations in Qubit Allocation
Addressable Quantum Gates
Client-server Identification Protocols with Quantum PUF
Forward and Backward Constrained Bisimulations for Quantum Circuits Using Decision Diagrams
Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices
Probabilistic Unitary Synthesis with Optimal Accuracy
Optimization Applications as Quantum Performance Benchmarks
Quantum Multiplexer Simplification for State Preparation
Introduction to the Special Issue on Software Tools for Quantum Computing: Part 2
Hybrid Quantum Annealing for Larger-than-QPU Lattice-structured Problems
Hybrid Quantum-classical Search Algorithms
An Algorithm for Reversible Logic Circuit Synthesis Based on Tensor Decomposition
Impact of Unreliable Devices on Stability of Quantum Computations
Milestones on the Quantum Utility Highway: Quantum Annealing Case Study
Revisiting the Mapping of Quantum Circuits: Entering the Multi-core Era
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
Introduction to the Special Issue on Software Tools for Quantum Computing: Part 1
Quantum Divide and Conquer
Line-Graph Qubit Routing
Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy Trade-Offs
Overdispersion in Gate Tomography: Experiments and Continuous, Two-Scale Random Walk Model on the Bloch Sphere
Efficient Quantum Circuit Design with a Standard Cell Approach, with an Application to Neutral Atom Quantum Computers
DQC-QR: Distributing and Routing Quantum Circuits with Minimum Execution Time
Kronecker Coefficients in #BQP
Quantum Algorithms for Discrete Log Require Precise Rotations
Automated Synthesis of Quantum Algorithms via Classical Numerical Techniques
Efficient Quantum Circuit Simulation by Tensor Network Methods on Modern GPUs
Realistic Cost to Execute Practical Quantum Circuits using Direct Clifford+T Lattice Surgery Compilation
Definitions and Security of Quantum Electronic Voting
Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
On the Expressibility and Overfitting of Quantum Circuit Learning
Machine Learning Optimization of Quantum Circuit Layouts
Quantum Algorithm for Estimating Volumes of Convex Bodies
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors
Enhancing the Quantum Linear Systems Algorithm Using Richardson Extrapolation
Improving the Efficiency of Quantum Circuits for Information Set Decoding
Quantum Bilinear Interpolation Algorithms Based on Geometric Centers
QIRO: A Static Single Assignment-based Quantum Program Representation for Optimization
An Optimal Linear-combination-of-unitaries-based Quantum Linear System Solver
Integration of Quantum Accelerators with High Performance Computing - A Review of Quantum Programming Tools
Utilizing classical programming principles in the Intel Quantum SDK: implementation of quantum lattice Boltzmann method
Parameter Transfer for Quantum Approximate Optimization of Weighted MaxCut
Tools for Quantum Computing Based on Decision Diagrams
Synthesis Techniques for Fault-tolerant Quantum Circuit Implementation using Clifford+ Z N -group
Faster Quantum-inspired Algorithms for Solving Linear Systems
Fair Sampling Error Analysis on NISQ Devices
Scalable Experimental Bounds for Entangled Quantum State Fidelities
Gaussian Elimination versus Greedy Methods for the Synthesis of Linear Reversible Circuits
Authenticity, Integrity, and Replay Protection in Quantum Data Communications and Networking
Bridging Classical and Quantum with SDP initialized warm-starts for QAOA
LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach
ArQTiC: A Full-stack Software Package for Simulating Materials on Quantum Computers
SpinQ: Compilation Strategies for Scalable Spin-Qubit Architectures
Improvements to Quantum Interior Point Method for Linear Optimization
On Optimal Subarchitectures for Quantum Circuit Mapping
Time- and Query-optimal Quantum Algorithms Based on Decision Trees
Efficient Estimation of Pauli Channels
Formal Verification of Quantum Programs: Theory, Tools, and Challenges
Parameterized Complexity of Weighted Local Hamiltonian Problems and the Quantum Exponential Time Hypothesis
A Classical Architecture for Digital Quantum Computers
Optimal Hadamard Gate Count for Clifford+ T Synthesis of Pauli Rotations Sequences
A Model-Driven Framework for Composition-Based Quantum Circuit Design
Quantum Linear System Solver Based on Time-optimal Adiabatic Quantum Computing and Quantum Approximate Optimization Algorithm
Low-depth Amplitude Estimation without Really Trying
Optimized Compiler for Distributed Quantum Computing
Quantum Measurement Classification Using Statistical Learning
Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Energy Cost of Quantum Circuit Optimisation: Predicting That Optimising Shor's Algorithm Circuit Uses 1 GWh
Automatic Qubit Characterization and Gate Optimization with QubiC
Computing Eigenvalues of Diagonalizable Matrices on a Quantum Computer
TimeStitch: Exploiting Slack to Mitigate Decoherence in Quantum Circuits
qprof: A gprof-Inspired Quantum Profiler
QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation
Optimal Qubit Assignment and Routing via Integer Programming
On the Success Probability of Quantum Order Finding
Shallower CNOT Circuits on Realistic Quantum Hardware
Quantum Machine Learning Algorithm for Knowledge Graphs
Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits
A Quantum Interior Point Method for LPs and SDPs
Exact and Practical Pattern Matching for Quantum Circuit Optimization
Editorial on Celebrating Quantum Computing with ACM
MQT Predictor: Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
Hardware-Conscious Optimization of the Quantum Toffoli Gate
PyMatching: A Python Package for Decoding Quantum Codes with Minimum-Weight Perfect Matching
Testing a Quantum Annealer as a Quantum Thermal Sampler
i -QER: An Intelligent Approach Towards Quantum Error Reduction
Quantum Circuit Cutting for Classical Shadows
Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction
Replaying development history to assess the effectiveness of change propagation tools
Evaluating defect prediction approaches: a benchmark and an extensive comparison
An empirical study of Q&A websites for game developers
Genetic Algorithm-based Test Generation for Software Product Line with the Integration of Fault Localization Techniques
Deep security analysis of program code
Machine learning experiment management tools: a mixed-methods empirical study
On the Effectiveness of Bisection in Performance Regression Localization
Predicting the objective and priority of issue reports in software repositories
What do Programmers Discuss about Deep Learning Frameworks
Beg, Borrow, or Steal: Using Multidisciplinary Approaches in Empirical Software Engineering Research
Reply to comments by M. Jorgensen, on the paper: 'A Simulation Tool for Efficient Analogy Based Cost Estimation' by L. Angelis and I. Stamelos, Published in Empirical Software Engineering
Empathy, self-determination and motivation: moderating diversity for enhanced performance in software development teams
An empirical investigation into open source web applications' implementation vulnerabilities
Benchmarking k -nearest neighbour imputation with homogeneous Likert data
Building the perfect game - an empirical study of game modifications
Evolving software system families in space and time with feature revisions
Quantum circuit mutants: Empirical analysis and recommendations
Revisiting reopened bugs in open source software systems
What makes a popular academic AI repository?
Are free Android app security analysis tools effective in detecting known vulnerabilities?
MLASP: Machine learning assisted capacity planning
An empirical assessment of machine learning approaches for triaging reports of static analysis tools
Software Metrics Data Analysis - Exploring the Relative Performance of Some Commonly Used Modeling Techniques
Online cross-project approach with project-level similarity for just-in-time software defect prediction
Towards a fictional collective programming scenario: an approach based on the EIF loop
Studying high impact fix-inducing changes
On the unreliability of bug severity data
Experimental comparison of features, analyses, and classifiers for Android malware detection
Empirical Evaluations of Usage-Based Reading and Fault Content Estimation for Software Inspections
Toward an understanding of bug fix patterns
A comprehensive study of code-removal patches in automated program repair
Preface to the empirical software engineering special issue on selected papers from RE'19
Examining ownership models in software teams
Understanding peer review of software engineering papers
Towards understanding the relationship between team climate and software quality - a quasi-experimental study
A successful application of a Test-Driven Development strategy in the industrial environment
An empirical assessment of baseline feature location techniques
Descriptive Software Process Modeling-How to Deal with Sensitive Process Information
Lags in the release, adoption, and propagation of npm vulnerability fixes
Should I follow this fault localization tool's output? - Automated prediction of fault localization effectiveness
The impact of feature reduction techniques on defect prediction models
Finding the right regression testing method: a taxonomy-based approach
Code smells for Model-View-Controller architectures
Unreproducible builds: time to fix, causes, and correlation with external ecosystem factors
A mixed-methods analysis of micro-collaborative coding practices in OpenStack
A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months
Defect prediction using deep learning with Network Portrait Divergence for software evolution
To the attention of mobile software developers: guess what, test your app!
Why are many businesses instilling a DevOps culture into their organization?
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning
An empirical comparison of model-based and capture and replay approaches for performance testing
Software microbenchmarking in the cloud. How bad is it really?
Pinpointing and repairing performance bottlenecks in concurrent programs
Common challenges of deep reinforcement learning applications development: an empirical study
Modeling Performance of Microservices Systems with Growth Theory
Tackling the term-mismatch problem in automated trace retrieval
Robust Statistical Methods for Empirical Software Engineering
Explainable automated debugging via large language model-driven scientific debugging
The effect of moving from a plan-driven to an incremental software development approach with agile practices - An industrial case study
Motivating members' involvement to effectually conduct collaborative software process tailoring
Improving change prediction models with code smell-related information
Studying re-opened bugs in open source software
GitHub Discussions: An exploratory study of early adoption
Generating API tags for tutorial fragments from Stack Overflow
Enhancing the defectiveness prediction of methods and classes via JIT
A large study on the effect of code obfuscation on the quality of java code
Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset
On the usage and development of deep learning compilers: an empirical study on TVM
Predicting the Flow of Defect Correction Effort using a Bayesian Network Model
Appreciation to Empirical Software Engineering reviewers of 2016
The open science initiative of the Empirical Software Engineering journal
A multi-objective effort-aware approach for early code review prediction and prioritization
An empirical assessment of best-answer prediction models in technical Q&A sites
Memory and resource leak defects and their repairs in Java projects
An experimental scrutiny of visual design modelling: VCL up against UML+OCL
Predicting object-oriented class reuse-proneness using internal quality attributes
Prompter - Turning the IDE into a self-confident programming assistant
Evaluating classifiers in SE research: the ECSER pipeline and two replication studies
Measuring affective states from technical debt
How the Apache community upgrades dependencies: an evolutionary study
Information-theoretic detection of unusual source code changes
An empirically based model of software prototyping: a mapping study and a multi-case study
An exploratory study of api changes and usages based on apache and eclipse ecosystems
Assessing refactorings for usability in e-commerce applications
Protocols in the use of empirical software engineering artifacts
Are Reviews an Alternative to Pair Programming?
Software product line testing: a systematic literature review
An empirical study of integration activities in distributions of open source software
On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction
Adversarial domain adaptation for cross-project defect prediction
Detection, assessment and mitigation of vulnerabilities in open source dependencies
Assessing the capability of code smells to explain maintenance problems: an empirical study combining quantitative and qualitative data
Preprocessor-based variability in open-source and industrial software systems: An empirical study
Challenges in software model reuse: cross application domain vs. cross modeling paradigm
Automated NFR testing in continuous integration environments: a multi-case study of Nordic companies
Augmented testing to support manual GUI-based regression testing: An empirical study
Effectiveness and efficiency of a domain-specific language for high-performance marine ecosystem simulation: a controlled experiment
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Injecting software faults in Python applications
Shifting fuzzing left in software workflows
Estimating the number of remaining links in traceability recovery
Studying the impact of risk assessment analytics on risk awareness and code review performance
Do RESTful API design rules have an impact on the understandability of Web APIs?
StateAFL: Greybox fuzzing for stateful network servers
Every build you break: developer-oriented assistance for build failure resolution
Code smells detection via modern code review: a study of the OpenStack and Qt communities
Software requirements prioritization and selection using linguistic tools and constraint solvers - a controlled experiment
Software development effort prediction of industrial projects applying a general regression neural network
Object-oriented software extensions in practice
Intensifying the search-based optimization of product line architectures with crossover operators
Practitioner's view of the success factors for software outsourcing partnership formation: an empirical exploration
Empirical analysis of security vulnerabilities in Python packages
An empirical study of fault localization in Python programs
Practical challenges of requirements prioritization based on risk estimation
Mining architectural information: A systematic mapping study
Towards understanding bugs in Python interpreters
Studying the urgent updates of popular games on the Steam platform
Rap4DQ: Learning to recommend relevant API documentation for developer questions
CloneRipples: predicting change propagation between code clone instances by graph-based deep learning
Helping or not helping? Why and how trivial packages impact the npm ecosystem
Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer
Investigating the use of Support Vector Regression for web effort estimation
A contextual approach towards more accurate duplicate bug report detection and ranking
Supporting the analyzability of architectural component models - empirical findings and tool support
PVAC: package version activity categorizer, leveraging semantic versioning in a heterogeneous system
Supporting multi-dimensional unit test classification
Empirical evidence on the link between object-oriented measures and external quality attributes: a systematic literature review
Extracting enhanced artificial intelligence model metadata from software repositories
Correction to: Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering
On the reproducibility of empirical software engineering studies based on data retrieved from development repositories
A case study on bypass testing of web applications
OpenSCV: an open hierarchical taxonomy for smart contract vulnerabilities
Predicting the understandability of computational notebooks through code metrics analysis
PromeTrans: Bootstrap binary functionality classification with knowledge transferred from pre-trained models
An empirical investigation of organic software product lines
Improving requirements-test alignment by prescribing practices that mitigate communication gaps
How changes affect software entropy: an empirical study
A first look at Android applications in Google Play related to COVID-19
Identifying self-admitted technical debt in open source projects using text mining
The need for software specific natural language techniques
Case study on which relations to use for clustering-based software architecture recovery
Consensus task interaction trace recommender to guide developers' software navigation
A Preliminary Software Engineering Theory as Investigated by Published Experiments
Language usage analysis for EMF metamodels on GitHub
Prioritizing test cases for deep learning-based video classifiers
Post deployment recycling of machine learning models
From guidelines to practice: assessing Android app developer compliance with google's security recommendations
SoftNER: Mining knowledge graphs from cloud incidents
Test case selection and prioritization using machine learning: a systematic literature review
A study into the practice of reporting software engineering experiments
Visualising data science workflows to support third-party notebook comprehension: an empirical study
Requirements Engineering and Downstream Software Development: Findings from a Case Study
A comprehensive study of pseudo-tested methods
Empirical assessment of generating adversarial configurations for software product lines
Indentation and reading time: a randomized control trial on the differences between generated indented and non-indented if-statements
Practitioners' best practices to Adopt, Use or Abandon Model-based Testing with Graphical models for Software-intensive Systems
Is perceived gender related to contributions and standing in open-source software projects?
Experimental Evaluation of a Checklist-Based Inspection Technique to Verify the Compliance of Software Systems with the Brazilian General Data Protection Law
Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts
Pitfalls and guidelines for using time-based Git data