yusuke1997/dblp-id-title huggingface dataset:
An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection
Hierarchical Process Reward Models are Symbolic Vision Learners
Blockchain Based Spectrum Sharing
Modelling Pre-fatigue, Low-velocity Impact and Fatigue behaviours of Composite Helicopter Tail Structures under Multipoint Coordinated Loading Spectrum
Workflow-Based Big Data Analytics in The Cloud Environment Present Research Status and Future Prospects
Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine Unlearning
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?
Supervisory Control of a Flexible Manufacturing Unit for the Production of Two Products
Knowledge-generating Efficiency in Innovation Systems: The relation between structural and temporal effects
Quantum search in a dictionary based on fingerprinting-hashing
Deep Research: A Systematic Survey
High-Quality Proposal Encoding and Cascade Denoising for Imaginary Supervised Object Detection
Text-to-Image Models and Their Representation of People from Different Nationalities Engaging in Activities
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
The game semantics of game theory
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments
Regular Representations of Uniform TC^0
Economically High-Order Unstructured-Grid Methods: Clarification and Efficient FSR Schemes
Logic Locking for Secure Outsourced Chip Fabrication: A New Attack and Provably Secure Defense Mechanism
LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls
Declarative Data Analytics: a Survey
Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step
X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation
Simple Root Cause Analysis by Separable Likelihoods
Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
A Kolmogorov High Order Deep Neural Network for High Frequency Partial Differential Equations in High Dimensions
Robust Localization from Incomplete Local Information
A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning
Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
Modelling, Analysis and Numerical Simulation of a Spring-Rods System with Unilateral Constraints
Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry
Semantic Web Search based on Ontology Modeling using Protege Reasoner
Advanced Quantizer Designs for FDD-based FD-MIMO Systems Using Uniform Planar Arrays
Feedback Control of Switched Stochastic Systems Using Randomly Available Active Mode Information
Solving Infinite-Player Games with Player-to-Strategy Networks
Toward predictive machine learning for active vision
Min-Sum algorithm for lattices constructed by Construction D
Extending Automatic Machine Translation Evaluation to Book-Length Documents
Imitation Learning with Precisely Labeled Human Demonstrations
An Implementation of Werewolf Agent That does not Truly Trust LLMs
Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids
Szenario-Optimierung für die Absicherung von automatisierten und autonomen Fahrsystemen
Every Mistake Counts in Assembly
An Effective Equivalence Model of Analyzing PLS of Multiple Eavesdroppers Facing Low-altitude Communication Systems
RIS-FUSION: Rethinking Text-Driven Infrared and Visible Image Fusion from the Perspective of Referring Image Segmentation
Joint Optimization of Power Splitting and Allocation for SWIPT in Interference Alignment Networks
Evolution without an Oracle: Driving Effective Evolution with LLM Judges
Stylizing Face Images via Multiple Exemplars
Workspace Analysis of the Orthoglide using Interval Analysis
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!"
Global Convergence of Stochastic Gradient Descent for Some Nonconvex Matrix Problems
Liberal Entity Matching as a Compound AI Toolchain
The Optimal Pessimistic Transactional Memory Algorithm
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion
Sparse Identification of Nonlinear Dynamical Systems via Reweighted 𝓁s 1 -regularized Least Squares
Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection
Tools in Term Rewriting for Education
MedGR 2 : Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction
Horizontal and Vertical Ensemble with Deep Representation for Classification
GRACE-MoE: Grouping and Replication with Locality-Aware Routing for Efficient Distributed MoE Inference
Rapid design of fully soft deployable structures via kirigami cuts and active learning
Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical Reasoning
A monitoring tool for a GRID operation center
Enumeration in Incremental FPT-Time
A cubic algorithm for computing the Hermite normal form of a nonsingular integer matrix
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events
CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty
MPT: Motion Prompt Tuning for Micro-Expression Recognition
Equivalent Circuit Programming for Power Flow Analysis and Optimization
Connectives in Quantum and other Cumulative Logics
Association Rule Mining Based On Trade List
HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox
Eliminating the effect of rating bias on reputation systems
A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation
Constrained Optimal Smoothing and Bayesian Estimation
Low-bit Model Quantization for Deep Neural Networks: A Survey
LLM-Driven Completeness and Consistency Evaluation for Cultural Heritage Data Augmentation in Cross-Modal Retrieval
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
Unit Tests for Stochastic Optimization
Towards an Extensible Model-Based Digital Twin Framework for Space Launch Vehicles
The creative psychometric item generator: a framework for item generation and validation using large language models
Explicit Consistency Error Estimate for Finite Element Solutions of the Poisson Equation on Convex Domains
Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games
Truth Discovery with Memory Network
Introducing Grid WAR: Rethinking WAR for Starting Pitchers
Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
Evolution of Popularity Bias: Empirical Study and Debiasing
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL)
GRAPHTEXTACK: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles
Learning to Update for Object Tracking
Actions francophones autour des normes e-learning à l'ISO
Topology-optimization based design of multi-degree-of-freedom compliant mechanisms (mechanisms with multiple pseudo-mobility)
Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection
Error Performance Analysis of the Symbol-Decision SC Polar Decoder
Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training
Framework for Hopfield Network based Adaptive routing - A design level approach for adaptive routing phenomena with Artificial Neural Network
Predicting Public Health Impacts of Electricity Usage
Distributed Deep Reinforcement Learning: An Overview
Data-Based Design of Multi-Model Inferential Sensors
FunQA: Towards Surprising Video Comprehension
HENet: A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Construe: a software solution for the explanation-based interpretation of time series
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
Spectral gap-based deterministic tensor completion
Color Me Intrigued: Quantifying Usage of Colors in Fiction
On the Resource Allocation for Political Campaigns
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
Generalized LDPC codes with low-complexity decoding and fast convergence
Computational and Categorical Frameworks of Finite Ternary Γ-Semirings: Foundations, Algorithms, and Industrial Modeling Applications
Equilibrium Computation in the Hotelling-Downs Model of Spatial Competition
Model-based controller assisted domain randomization in deep reinforcement learning: application to nonlinear powertrain control
Beyond Co-occurrence: Multi-modal Session-based Recommendation
Towards the Application of Linear Programming Methods For Multi-Camera Pose Estimation
The Genetic Code revisited: Inner-to-outer map, 2D-Gray map, and World-map Genetic Representations
Bad Data Injection Attack and Defense in Electricity Market using Game Theory Study
Language-Constraint Reachability Learning in Probabilistic Graphs
Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN
λ-MIMO: Massive MIMO via Modulo Sampling
Learning visual-based deformable object rearrangement with local graph neural networks
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Flexible Quaternion Generalized Minimal Residual Method for Ill-Posed Quaternion Inverse Problems
Fast hybrid numerical-asymptotic boundary element methods for high frequency screen and aperture problems based on least-squares collocation
Algorithms and Data Structures to Accelerate Network Analysis
Modality-Collaborative Low-Rank Decomposers for Few-Shot Video Domain Adaptation
Fast Hands-free Writing by Gaze Direction
Probabilistic Bubble Roadmap
Structured Semantic 3D Reconstruction (S23DR) Challenge 2025 - Winning solution
Three Classes of Twisted Gabidulin Codes with Different Twists
Sparse Multiview Open-Vocabulary 3D Detection
Cache-Aided K-User Broadcast Channels with State Information at Receivers
Implicit Stacked Autoregressive Model for Video Prediction
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis
High-Precision Overlay Registration via Spatial-Terminal Iterative Learning in Roll-to-Roll Manufacturing
A family of multi-parameterized proximal point algorithms
A Simulation Study of Social-Networking-Driven Smart Recommendations for Internet of Vehicles
How to answer a small batch of RMQs or LCA queries in practice
Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
Challenges and Opportunities in 3D Content Generation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models
Deep Learning-based Alignment Measurement in Knee Radiographs
A sustainable infrastructure concept for improved accessibility, reusability, and archival of research software
Mutation Testing framework for Machine Learning
Information Extraction from Scientific Literature for Method Recommendation
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
Novelty and Cultural Evolution in Modern Popular Music
PreprintToPaper dataset: connecting bioRxiv preprints with journal publications
Improving automated segmentation of radio shows with audio embeddings
Demand side management impacts on electricity network vulnerability
Simple Attention Module based Speaker Verification with Iterative noisy label detection
Fast computation of magnetostatic fields by Non-uniform Fast Fourier Transforms
Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement with On-Orbit Validation
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series
An Unsupervised Conformal Learning Algorithm For Image Segmentation
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules
An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation
Content Bias in Deep Learning Age Approximation: A new Approach Towards more Explainability
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
The complexity of Boolean #MaximalCSP
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention
Tensor Methods and Recommender Systems
The Tracking Machine Learning challenge : Throughput phase
IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration
Privacy-Preserving Dynamic Assortment Selection
Multi-Scale Single-Bit RP-EMS Synthesis for Advanced Propagation Manipulation through System-by-Design
The tip-of-the-tongue phenomenon: Irrelevant neural network localization or disruption of its interneuron links?
StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
Unsupervised Extraction of Market Moving Events with Neural Attention
Multi-Task Self-Supervised Learning for Image Segmentation Task
DOD-ETL: Distributed On-Demand ETL for Near Real-Time Business Intelligence
Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition
The 'Letter' Distribution in the Chinese Language
Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities
Negotiating Strict Latency Limits for Dynamic Real-Time Services in Vehicular Time-Sensitive Networks
Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm
CopyCat: Controlled Instruction-Level Attacks on Enclaves for Maximal Key Extraction
Joint Travel Route Optimization Framework for Platooning
A Decentralized Trading Algorithm for an Electricity Market with Generation Uncertainty
Simultaneous and Group-Sparse Multi-Task Learning of Gaussian Graphical Models
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria
Incorporating Language Level Information into Acoustic Models
Networked Stochastic Multi-Armed Bandits with Combinatorial Strategies
Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Detection-based Intermediate Supervision for Visual Question Answering
PolicyBot - Reliable Question Answering over Policy Documents
Dark Speculation: Combining Qualitative and Quantitative Understanding in Frontier AI Risk Analysis
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Attribute Extraction from Product Titles in eCommerce
Integration of Sentinel-1 and Sentinel-2 data for Earth surface classification using Machine Learning algorithms implemented on Google Earth Engine
Rethinking Explainability in the Era of Multimodal AI
Optimal personalised treatment computation through in silico clinical trials on patient digital twins
Batched DGEMMs for scientific codes running on long vector architectures
A Spatial-Domain Coordinated Control Method for Connected and Automated Vehicles at Unsignalized Intersections Considering Motion Uncertainty
Value of the Teaching Career and Factors in Its Path in Peru
Time delay embeddings to characterize the timbre of musical instruments using Topological Data Analysis: a study on synthetic and real data
Patch-Discontinuity Mining for Generalized Deepfake Detection
SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning
Volumetric Parameterization for 3-Dimensional Simply-Connected Manifolds
Exploiting PUF Models for Error Free Response Generation
How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: a case study of the United States
In-ear EEG biometrics for feasible and readily collectable real-world person authentication
Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction
ATRIUM - Architecting Under Uncertainty for ISO 26262 compliance
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis
Reliability Across Parametric and External Knowledge: Understanding Knowledge Handling in LLMs
High-order Adaptive Rank Integrators for Multi-scale Linear Kinetic Transport Equations in the Hierarchical Tucker Format
Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?
Learning Macromanagement in StarCraft from Replays using Deep Learning
Can VLMs Assess Similarity Between Graph Visualizations?
Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
Analysis of child development facts and myths using text mining techniques and classification models
Pattern of Internet Usage in Cyber Cafes in Manila: An Exploratory Study
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations
LoRA 2 : Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models
Scalable predictive processing framework for multitask caregiving robots
Cooperative Interference Mitigation and Handover Management for Heterogeneous Cloud Small Cell Networks
Empowered by Wireless Communication: Self-Organizing Traffic Collectives
Multi-Level and Multi-Scale Feature Aggregation Using Sample-level Deep Convolutional Neural Networks for Music Classification
Improving Personalized Image Generation through Social Context Feedback
Counting edge-injective homomorphisms and matchings on restricted graph classes
TouchRoller: A Rolling Optical Tactile Sensor for Rapid Assessment of Large Surfaces
Essential-Web v1.0: 24T tokens of organized web data
A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning
Direct-Write Printed Contacts to Layered and 2D Materials
Word-Based Text Compression
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
Self-calibrating Deep Photometric Stereo Networks
An efficient parallel algorithm for computing determinant of non square matrices
Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
A communication game related to the sensitivity conjecture
Safe-by-Design Planner-Tracker Synthesis
Memory-Driven Self-Improvement for Decision Making with Large Language Models
New Directions in Anonymization: Permutation Paradigm, Verifiability by Subjects and Intruders, Transparency to Users
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
A Novel ICD Coding Framework Based on Associated and Hierarchical Code Description Distillation
Intelligent Network Layer for Cyber-Physical Systems Security
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
Recovering short generators via negative moments of Dirichlet L-functions
Incremental Principal Component Analysis Exact implementation and continuity corrections
Precedence-constrained scheduling problems parameterized by partial order width
A Comparative Analysis of the Ensemble Methods for Drug Design
Computing the volume of compact semi-algebraic sets
An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality: the influence of attention, memory, and executive function processes on real-world prospective memory
On the Local Correctabilities of Projective Reed-Muller Codes
Context-aware 6D Pose Estimation of Known Objects using RGB-D data
Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery
Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning
Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Models
Credit Card Fraud Detection Using RoFormer Model With Relative Distance Rotating Encoding
Detour Dual Optimal Inequalities for Column Generation with Application to Routing and Location
Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments
Breaking the trade-off in personalized speech enhancement with cross-task knowledge distillation
Super-resolution Ultrasound Localization Microscopy through Deep Learning
A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges
Error estimates of a bi-fidelity method for a multi-phase Navier-Stokes-Vlasov-Fokker-Planck system with random inputs
Identifying the latent space geometry of network models through analysis of curvature
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving
A note on the sample complexity of multi-target detection
An Improved Watchdog Technique Based On Power-Aware Hierarchical Design For Ids In Wireless Sensor Networks
Docking two multirotors in midair using relative vision measurements
Prompt Weight Experiments for LLM Instruction Fine-Tuning
Control Center Framework for Teleoperation Support of Automated Vehicles on Public Roads
A Distributed Virtual Network Function Placement Approach in Satellite Edge and Cloud Computing
Structured Event Reasoning with Large Language Models
decoupleQ: Towards 2-bit Post-Training Uniform Quantization via decoupling Parameters into Integer and Floating Points
New extremal binary self-dual codes of length 68 via short kharaghani array over f_2 + uf_2
A Learning-Based Framework for Collision-Free Motion Planning
Realization of a programmable multi-purpose photonic quantum memory with over-thousand qubit manipulations
HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation
Homogenization and numerical algorithms for two-scale modelling of porous media with self-contact in micropores
Evaluating Simplification Algorithms for Interpretability of Time Series Classification