yusuke1997/dblp-id-title huggingface dataset:
Distribution-Aware Sampling and Weighted Model Counting for SAT
Riemannian Submanifold Tracking on Low-Rank Algebraic Variety
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Designing Evaluation Rules That Are Robust to Strategic Behavior
Scarce Societal Resource Allocation and the Price of (Local) Justice
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Fourier Representations for Black-Box Optimization over Categorical Variables
Incorporating Unsupervised Learning in Activity Recognition
Searching with Consistent Prioritization for Multi-Agent Path Finding
Explaining Random Forests Using Bipolar Argumentation and Markov Networks
Efficient Nonparametric Tensor Decomposition for Binary and Count Data
Explanation-Based Generalization of Partially Ordered Plans
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion
Learning Pessimism for Reinforcement Learning
Unsupervised Translation of Emergent Communication
Nested Joint Probability Model for Morphological Analysis and its Grid Pruning
Semantic Community Identification in Large Attribute Networks
TREAT: A Better Match Algorithm for AI Production System Matching
Humor Knowledge Enriched Transformer for Understanding Multimodal Humor
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
An Exercise in Tournament Design: When Some Matches Must Be Scheduled
Incidental Supervision: Moving beyond Supervised Learning
Coordination Between Individual Agents in Multi-Agent Reinforcement Learning
SumREN: Summarizing Reported Speech about Events in News
Development of an Overall Direction-of-Action Sensor for Robots
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Content-Structural Relation Inference in Knowledge Base
Automatic Code Review by Learning the Revision of Source Code
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract)
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games
SOIT: Segmenting Objects with Instance-Aware Transformers
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
StegaStyleGAN: Towards Generic and Practical Generative Image Steganography
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels
Mapping and Revising Markov Logic Networks for Transfer Learning
Planning with Biological Neurons and Synapses
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Uncertain Graph Neural Networks for Facial Action Unit Detection
Defending with Shared Resources on a Network
Object Reachability via Swaps along a Line
MDP-Based Cost Sensitive Classification Using Decision Trees
Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks
Sudoku Assistant - an AI-Powered App to Help Solve Pen-and-Paper Sudokus
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series
Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning
Creating Interactive and Visual Educational Resources for AI
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Big Learning Expectation Maximization
Transferring and Retraining Learned Information Filters
Semi-Deterministic Reasoning
ExprGAN: Facial Expression Editing With Controllable Expression Intensity
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Concept Learning for Safe Autonomous AI
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
What's Hot at CPAIOR (Extended Abstract)
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract)
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
Searching Game Trees Under Memory Constraints
Expressive Multi-Agent Communication via Identity-Aware Learning
Preferential Structures for Comparative Probabilistic Reasoning
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?
Representing Systems with Hidden State
Binary Generative Adversarial Networks for Image Retrieval
Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance
Symbiotic Cognitive Computing through Iteratively Supervised Lexicon Induction
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills
Project EPISTLE: A System for the Automatic Analysis of Business Correspondence
Label Distribution Learning by Exploiting Sample Correlations Locally
LGD: Label-Guided Self-Distillation for Object Detection
Simple or Complex? Learning to Predict Readability of Bengali Texts
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees
Searching for Unfairness in Algorithms' Outputs: Novel Tests and Insights
Designing a Visual Analytic System to Represent Bookmark Sharing Data
Generating Hypotheses to Explain Prediction Failures
EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications
Question Quality Improvement: Deep Question Understanding for Incident Management in Technical Support Domain
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests
External Memory Best-First Search for Multiple Sequence Alignment
Exploiting Competition Relationship for Robust Visual Recognition
SMT Safety Verification of Ontology-Based Processes
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
Explicitly Modeled Attention Maps for Image Classification
A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns
Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data
DeepDPM: Dynamic Population Mapping via Deep Neural Network
Exploring the Impact of Age and Class Level on Emotional Perception: A Study of Nigerian Secondary School Girls Using the Reading the Mind in the Eyes Test (Student Abstract)
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
Using Chinese Glyphs for Named Entity Recognition (Student Abstract)
What Women Want: Analyzing Research Publications to Understand Gender Preferences in Computer Science
Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks
The Elderly and Robots: From Experiments based on Comparison with Younger People
Solving Temporal Problems Using SMT: Weak Controllability
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
A Robust and Fast Action Selection Mechanism for Planning
Learning Multi-Task Sparse Representation Based on Fisher Information
Autoregressive Sequence Modeling for 3D Medical Image Representation
RefDetector: A Simple Yet Effective Matching-based Method for Referring Expression Comprehension
A Theory of Independent Mechanisms for Extrapolation in Generative Models
Qualitative Analysis of Causal Feedback
Agent Assist: Automating Enterprise IT Support Help Desks
Do Invariances in Deep Neural Networks Align with Human Perception?
Learning with Marginalized Corrupted Features and Labels Together
MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter
Interpretable Clustering via Multi-Polytope Machines
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
On the Discovery of Patterns in Medical Data
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
Discourse Level Factors for Sentence Deletion in Text Simplification
Using More Reasoning to Improve #SAT Solving
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
Beyond Minimizing Change
Exploiting Task-Feature Co-Clusters in Multi-Task Learning
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
Parsing as Pretraining
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation
Explaining Qualitative Decision under Uncertainty by Argumentation
Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
Failures in Natural Language Systems: Applications to Data Base Query Systems
Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version)
Panel: Real-Time Performance in Problem Solving
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
A Representation Learning Framework for Multi-Source Transfer Parsing
Using Branch-and-Bound with Constraint Satisfaction in Optimization Problems
Interaction Structure and Dimensionality Reduction in Decentralized MDPs
A Privacy-preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech (short paper)
Unsupervised Metric Learning with Synthetic Examples
SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer
Radial and Directional Posteriors for Bayesian Deep Learning
Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows
Re 2 EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking
Automated Storytelling via Causal, Commonsense Plot Ordering
Effective Bayesian Inference for Stochastic Programs
Online Semi-supervised Learning with Mix-Typed Streaming Features
Proactive Intrusion Detection
Audio-Visual Localization by Synthetic Acoustic Image Generation
Boosting Test Performance with Importance Sampling-a Subpopulation Perspective
Representations of Context in Recognizing the Figurative and Literal Usages of Idioms
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Weighted Constraint Satisfaction with Set Variables
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
Evolution Strategies for Approximate Solution of Bayesian Games
Maintaining Consistency in Hierarchical Reasoning
Meta-Learning for Simple Regret Minimization
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Pre-Trained Vision-Language Models as Noisy Partial Annotators
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
Scheduling Alternative Activities
On Probabilistic Truncation in Privacy-preserving Machine Learning
Block-Level Goal Recognition Design
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Opportunity Recognition in Complex Environments
Probabilistic Knowledge of External Events in Planning
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix
Distilling Localization for Self-Supervised Representation Learning
Neighborhood Inverse Consistency Preprocessing
A Compositional Approach to Active and Passive Components
An Empirical Study into the State of Practice and Challenges in IT Project Portfolio Management
A Method for Balancing Short- and Long-Term Investments: Quality vs. Features
Formal Analysis of a Distributed Fault Tolerant Clock Synchronization Algorithm for Automotive Communication Systems
Outlining a Model Integrating Risk Management and Agile Software Development
InCoME: Integrated Cost Model for Product Line Engineering
IFPUG-COSMIC Statistical Conversion
A Framework for Simulation of Requirements Engineering Processes
Investigating UML- and Ontology-Based Approaches for Process Improvement in Developing Agile Multi-Agent Systems
Secure Grid Micro-Workflows Using Virtual Workspaces
Introducing Component Based Software Engineering at an Embedded Systems Sub-Contractor
Defect Prediction using Combined Product and Project Metrics - A Case Study from the Open Source "Apache" MyFaces Project Family
Towards Efficient Software Component Evaluation: An Examination of Component Selection and Certification
Towards a Defect Prevention Based Process Improvement Approach
Complementing Measurements and Real Options Concepts to Support Inter-iteration Decision-Making in Agile Projects
Evaluating RUP Software Development Processes Through Visualization of Effort Distribution
A Data Propagation Infrastructure for PLM
A Meta-model for the Assessment of Non-Functional Requirement Size
Understanding Decision-Making in Agile Software Development: A Case-study
Iterative Service Orchestration based on Dependability Attributes
Data Model Driven Enterprise Service Bus Interceptors
Business Model Specific Charging Mechanism in Cognitive Radio
Requirements Prioritization Based on Benefit and Cost Prediction: A Method Classification Framework
Service Consolidation with End-to-End Response Time Constraints
Migrating Industrial Systems towards Software Product Lines: Experiences and Observations through Case Studies
SAIL: A Sensor Abstraction and Integration Layer for Context Awareness
Software Defect Prediction Using Call Graph Based Ranking (CGBR) Framework
Comparing Software Cost Prediction Models by a Visualization Tool
A Fault-tolerance Framework for Distributed Component Systems
Checking Session-Oriented Interactions between Web Services
Evaluation of the Effect of Functional Similarities on Development Effort
Let The Puppets Move! Automated Testbed Generation for Service-oriented Mobile Applications
Building Blocks for a Web Programming Language
SEMF - Service Evolution Management Framework
Enhanced OSGi Bundle Updates to Prevent Runtime Exceptions
Multimedia System for Emergency Services over TETRA-DVBT Networks
A Case Study in Software Product Lines - The Case of the Mobile Game Domain
Web Browser as an Application Platform
A Case Study Using Web Objects and COSMIC for Effort Estimation of Web Applications
BPEL Workflows Combining Standard OGC Web Services and Grid-enabled OGC Web Services
A Metamodeling Approach to Estimate Software Size from Requirements Specifications
A Method for the Resource Monitoring of OSGi-based Software Components
34th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2008, September 3-5, 2008, Parma, Italy
Vimoware - A Toolkit for Mobile Web Services and Collaborative Computing
Managing the Life-cycle of Industrial Automation Systems with Product Line Variability Models
A Software Framework for Hard Real-Time Distributed Embedded Systems
The WebComfort Framework: An Extensible Platform for the Development of Web Applications
VieCAR - Enabling Self-adaptive Collaboration Services
A Proposed Method for Release Planning from Use Case-based Requirements Specification
Service Coroner: A Diagnostic Tool for Locating OSGi Stale References
Reconfigurable State Machine Components for Embedded Applications
Distributed Embedded Real-Time Systems and Beyond: A Vision of Future Road Vehicle Management
Evaluation of Task Pattern Use in Web-based Collaborative Engineering
The Role of Experience in Software Testing Practice
Component Design based on Model Executability
Business Value through Product Line Engineering - A Case Study
On Performance of 3GPP Service Triggering Mechanism in IMS Network
Mapping Virtual Organizations in Grids to Peer-to-Peer Networks
GRAIL - A Tool for Accessing and Instrumenting WSRF - compliant Web Services
API Usage Change Rules Mining based on Fine-grained Call Dependency Analysis
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning
Detecting Optimizing Compiler Bugs via History-Driven Test Program Mutation
Accelerating Accuracy Improvement for Floating Point Programs via Memory Based Pruning
Developing Burr-XII NHPP-based software reliability growth model using Expectation Conditional Maximization Algorithm
Writing Tests for This Higher-Order Function First: Automatically Identifying Future Callings to Assist Testers
Proceedings of the Second Asia-Pacific Symposium on Internetware, Internetware 2010, Suzhou, China, November 3-4, 2010
Bench4Q: a QoS-oriented e-commerce benchmark for Internetwares
Understanding Quality of Experiences on Different Mobile Browsers
Dynamic Time Window based Reward for Reinforcement Learning in Continuous Integration Testing
Generating Environmental Models for Testing Self-adaptive Systems
COCO: consistency analysis of process-driven internetware applications
Overwhelming Uncertainty in Self-adaptation: An Empirical Study on PLA and CobRA
Parer: Boosting EROFS Image Creation With Parallelism and Reproducibility
Simulating software behavior based on UML activity diagram
Combining Code Context and Fine-grained Code Difference for Commit Message Generation
Towards Life-long Software Self-validation in Production
GUI testing for mobile applications: objectives, approaches and challenges
The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study
SemanMR: big data processing framework based on semantics
CrawlDroid: Effective Model-based GUI Testing of Android Apps
LateBA: Latent Backdoor Attack on Deep Bug Search via Infrequent Execution Codes
JLLAR: A Logging Recommendation Plug-in Tool for Java
Power Trading Model for Distributed Power Generation Systems Based on Consortium Blockchains
A Feature-Driven Approach to Automated Class Diagram Construction
Bug Report Priority Prediction Using Developer-Oriented Socio-Technical Features
Efficient Testing of Web Services with Mobile Crowdsourcing
Towards Just-In-Time Feature Request Approval Prediction
CIDF: Combined Intrusion Detection Framework in Industrial Control Systems based on Packet Signature and Enhanced FSFDP
Bug localization via searching crowd-contributed code
Proceedings of the 15th Asia-Pacific Symposium on Internetware, Internetware 2024, Macau, SAR, China, July 24-26, 2024
Accelerate MapReduce on GPUs with multi-level reduction
Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11 - 12, 2022
Incremental Causal Consistency Checking for Read-Write Memory Histories
Measuring Efficient Code Generation with GEC
Hybrid AADL: a sublanguage extension to AADL
Automatically Generating Task-Oriented API Learning Guide
A Feature Table approach to decomposing monolithic applications into microservices
An Exploratory Evaluation of Large Language Models Using Empirical Software Engineering Tasks
Interprocedural path-sensitive resource leaks detection for C programs
Constructing a data accessing layer for in-memory data grid
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software
An Exploratory Study on Codes in Heterogeneous Software Documents
AgileRabbit: A Feedback-Driven Offloading Middleware for Smartwatch Apps
RepoLike: personal repositories recommendation in social coding communities
Composition of monitoring components for on-demand construction of runtime model based on model synthesis
b-bit minwise hashing in practice
An Empirical Study on AST-level mutation-based fuzzing techniques for JavaScript Engines
An Effective Approach for Routing the Bug Reports to the Right Fixers
VM image update notification mechanism based on pub/sub paradigm in cloud
Inferring loop invariants of programs with polynomial post-conditions
SM@RT: towards architecture-based runtime management of Internetware systems
Aggregation of autonomous Internetware entities
Scalable Relevant Project Recommendation on GitHub
An approach to communicating process modeling of MARTE
Neural Program Repair : Systems, Challenges and Solutions
Refining Traceability Links between Code and Software Documents
Sequential event pattern based context-aware adaptation
A study on the replaceability of context-aware middleware
Classifying Bug Reports into Bugs and Non-bugs Using LSTM
SmartRelationship: a VM relationship detection framework for cloud management
SEDL: A Symmetric Encryption Method Based on Deep Learning
A collaborative conceptual modeling tool based on stigmergy mechanism
A framework for the integration of MOF-compliant analysis methods
Detecting anti-patterns in Java EE runtime system model
A learning strategy for software testing optimization based on dynamic programming
A Study on Power Side Channels on Mobile Devices
ExceRef: Automatically Refactoring for Exception Handling
A Neural-Network based Code Summarization Approach by Using Source Code and its Call Dependencies
What Makes Open Source Software Projects Impactful: A Data-Driven Approach
Hybrid API Migration: A Marriage of Small API Mapping Models and Large Language Models
Performance evaluation of network coding in disruption tolerant networks
Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning
Detecting Defects in Deep Learning Systems: a Survey
FuAET: a tool for developing fuzzy self-adaptive software systems
A Preliminary Study of Bots Usage in Open Source Community
Speedup Automatic Program Repair Using Dynamic Software Updating: An Empirical Study
Software Ranking and Analysis based on Mining Market Requirements and Characteristics
A model-driven monitoring approach for Internetware on platform-as-a-service (PaaS)
Presence-pattern aware service selection and composition in a smart space
Understanding evolution in Internetware using a double pyramids model
Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints
Extending autonomic architecture for constructing internetware system
IOGuard: Software-Based I/O Page Fault Handling with One CPU Core
Framework for Adaptive Computation Offloading in IoT Applications
The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading
Graph Neural Network based Two-Phase Fault Localization Approach
CoFM: a web-based collaborative feature modeling system for internetware requirements' gathering and continual evolution
SAT and LP Collaborative Bounded Timing Analysis of Scenario-Based Specifications
Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features
A Bayesian LSTM Based Active Anomaly Detection Service for Large Online Systems
An approach to helping developers learn open source projects based on machine learning
Empirical studies on feature selection for software fault prediction