yusuke1997/dblp-id-title huggingface dataset:
A holistic approach for rapid development of IIoT systems
What are Your Pronouns? Examining Gender Pronoun Usage on Twitter
Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
From Logical to Distributional Models
Multilingual Text Analysis for Text-to-Speech Synthesis
MediSee: Reasoning-based Pixel-level Perception in Medical Images
Irredundant Buffer and Splitter Insertion and Scheduling-Based Optimization for AQFP Circuits
A two-stream network with global-local feature fusion for bone age assessment
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Investigating the topology of interacting networks - Theory and application to coupled climate subnetworks
Show me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration
A Short Virtual Reality Mindfulness Meditation Training For Regaining Sustained Attention
Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot
A Lower-bound for Variable-length Source Coding in LQG Feedback Control
Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks
Dynamic Team Theory of Stochastic Differential Decision Systems with Decentralized Noisy Information Structures via Girsanov's Measure Transformation
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing
A Review on Proprietary Accelerators for Large Language Models
Afterburner: The Case for In-Browser Analytics
High Reliable secure data collection using Complexity exchanging code key method addressing protocol in Wireless Sensor Network
Popcorns-Pro: A Cooperative Network-Server Approach for Data Center Energy Optimization
HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs
Boundary Feedback and Observer Synthesis for a Class of Nonlinear Parabolic-Elliptic PDE Systems
CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking
Multilevel Estimation of Normalization Constants Using the Ensemble Kalman-Bucy Filter
Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection
Mixing Configurations for Downstream Prediction
A Simple and Universal Rotation Equivariant Point-cloud Network
Full RGB Just Noticeable Difference (JND) Modelling
Embedding into Special Classes of Cyclic Graphs and its Applications in VLSI Layout
Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws
Large-Margin Representation Learning for Texture Classification
Inference and Uncertainty Quantification for Noisy Matrix Completion
Select Good Regions for Deblurring based on Convolutional Neural Networks
Reconfigurable-intelligent-surface-assisted Downlink Transmission Design via Bayesian Optimization
Emotion Talk: Emotional Support via Audio Messages for Psychological Assistance
CriticBench: Evaluating Large Language Models as Critic
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization
Bayesian Online Meta-Learning with Laplace Approximation
A simulation of the Neolithic transition in Western Eurasia
Sum-Rate Optimal Relay Selection and Power Control in Multi-Hop Networks
Spiking Neural Network Phase Encoding for Cognitive Computing
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection
LIMDD A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States
Coordinated Two-Tier Heterogeneous Cellular Networks with Leakage Based Beamforming
Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
Feature Engineering for Mid-Price Prediction with Deep Learning
Robust Fairness Vision-Language Learning for Medical Image Analysis
From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers
Rethinking Homogeneity of Vision and Text Tokens in Large Vision-and-Language Models
Probabilistic Sensor Fusion for Ambient Assisted Living
HyCell: Enabling GREEN Base Station Operations in Software-Defined Radio Access Networks
SocialCloud: Using Social Networks for Building Distributed Computing Services
Service-Constraint Based Truthful Online Incentive Mechanisms for Crowd Sensing
Active Reinforcement Learning: Observing Rewards at a Cost
On multi-token prediction for efficient LLM inference
ADAPT : Awesome Domain Adaptation Python Toolbox
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
State of practice: evaluating GPU performance of state vector and tensor network methods
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
Simultaneous avoidance of large squares and fractional powers in infinite binary words
Efficiently Finding All Minimal and Shortest Absent Subsequences in a String
VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics
Strong convergence of the Euler scheme for singular kinetic SDEs driven by α-stable processes
Towards Unsupervised Fine-Tuning for Edge Video Analytics
CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments
Addressing Issues with Working Memory in Video Object Segmentation
Efficient Differentiable Hardware Rasterization for 3D Gaussian Splatting
Torpid Mixing of Local Markov Chains on 3-Colorings of the Discrete Torus
Polar-Coded Forward Error Correction for MLC NAND Flash Memory Polar FEC for NAND Flash Memory
AegisShield: Democratizing Cyber Threat Modeling with Generative AI
Weighted Null-Space Fitting for Identification of Cascade Networks
Single Reduct Generation Based on Relative Indiscernibility of Rough Set Theory
Contextual Exploration Using a Linear Approximation Method Based on Satisficing
Discretization of Planar Geometric Cover Problems
Symbiotic Cognitive Relaying with mobile Secondary nodes in Cognitive Radio Networks
Investigation on a Novel Length-Based Local Linear Subdivision Strategy for Triangular Meshes
Solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
The Principle of Unchanged Optimality in Reinforcement Learning Generalization
Convex Approximation of Probabilistic Reachable Sets from Small Samples Using Self-supervised Neural Networks
Deep Hyperspectral Unmixing using Transformer Network
SteinerSQL: Graph-Guided Mathematical Reasoning for Text-to-SQL Generation
Self-Supervised Losses for One-Class Textual Anomaly Detection
The Blank Stare: Retrieving Unique Eye Tracking Signatures Independent of Visual Stimuli
The Emergence of Software Diversity in Maven Central
Oblivious Stash Shuffle
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs
A Simple and Tight Greedy OCRS
A topological counterpart of well-founded trees in dependent type theory
Musical Stylistic Analysis: A Study of Intervallic Transition Graphs via Persistent Homology
Split Conformal Classification with Unsupervised Calibration
Neural Field Turing Machine: A Differentiable Spatial Computer
Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method
Deep evolving semi-supervised anomaly detection
A Joint Communication and Computation Design for Distributed RISs Assisted Probabilistic Semantic Communication in IIoT
Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
Sounderfeit: Cloning a Physical Model with Conditional Adversarial Autoencoders
Survival Games: Human-LLM Strategic Showdowns under Severe Resource Scarcity
Spatial Channel Covariance Estimation for the Hybrid MIMO Architecture: A Compressive Sensing Based Approach
Study of Multi-Branch Tomlinson-Harashima Precoding with Multiple-Antenna Systems and Rate Splitting
Monitoring wild animal communities with arrays of motion sensitive camera traps
Two-Scale Latent Dynamics for Recurrent-Depth Transformers
Visual-Assisted Sound Source Depth Estimation in the Wild
Randomized heuristic repair for large-scale multidimensional knapsack problem
An Intrinsically Universal Family of Signal Machines
Data-Enabled Predictive Control for Flexible Spacecraft
AdaptaGen: Domain-Specific Image Generation through Hierarchical Semantic Optimization Framework
Data types with symmetries and polynomial functors over groupoids
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
Complex Recurrent Spectral Network
Space Exploration Architecture and Design Framework for Commercialization
Evaluation of Intel Max GPUs for CGYRO-based fusion simulations
Critical Data Compression
Hetero-functional Network Minimum Cost Flow Optimization: A Hydrogen-Natural Gas Network Example
PhilHumans: Benchmarking Machine Learning for Personal Health
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Constructing Fully Complete Models of Multiplicative Linear Logic
Gödel Incompleteness Theorem for PAC Learnable Theory
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
Generating Python Code From Object-Z Specifications
Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS)
The Candidate Multi-Cut for Cell Segmentation
Algorithms for Game Metrics (Full Version)
Sequential quantum mixing for slowly evolving sequences of Markov chains
Desired Model Compensation based Position Constrained Control of Robotic Manipulators
Understanding the Importance of Single Directions via Representative Substitution
SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder
Augmenting Teleportation in Virtual Reality With Discrete Rotation Angles
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19
Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic Approach
Adaptive Background Music for a Fighting Game: A Multi-Instrument Volume Modulation Approach
Stochastic Shortest Path with Energy Constraints in POMDPs
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review
Tensor Factorization with Label Information for Fake News Detection
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks
General sum stochastic games with networked information flows
Space/time global/local noninvasive coupling strategy: Application to viscoplastic structures
AutoPETIII: The Tracer Frontier. What Frontier?
Meta-Reasoning: Semantics-Symbol Deconstruction For Large Language Models
Principles for Environmental Justice in Technology: Toward a Regenerative Future
Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem
ML4Chem: A Machine Learning Package for Chemistry and Materials Science
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance
Sample-Optimal Large-Scale Optimal Subset Selection
MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion
Exploring the Bitcoin Mesoscale
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization
Computing Datalog Rewritings beyond Horn Ontologies
Seeing Sounds, Hearing Shapes: a gamified study to evaluate sound-sketches
On the small weight codewords of the functional codes C_2(Q), Q a non-singular quadric
An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying
Enhanced aodv route discovery and route establishment for qos provision for real time transmission in manet
Syntactic variation of support verb constructions
On the computation of the SVD of Fourier submatrices
Robust Clustering using Hyperdimensional Computing
High-resolution power equipment recognition based on improved self-attention
Pattern Matching and Local Alignment for RNA Structures
An Exploration of Pattern Mining with ChatGPT
An efficient quantum-classical hybrid algorithm for distorted alphanumeric character identification
Defense Priorities in the Open-Source AI Debate: A Preliminary Assessment
Deep Inductive Logic Programming meets Reinforcement Learning
Rule Based Expert System for Diagnosis of Neuromuscular Disorders
Définition d'une pièce test pour la caractérisation d'une machine UGV
A Survey on Reinforcement Learning for Combinatorial Optimization
CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization
Learning Coarse Propagators in Parareal Algorithm
Reinforced Epidemic Control: Saving Both Lives and Economy
Sarcasm Detection in a Less-Resourced Language
Cross-view Action Modeling, Learning and Recognition
Fully Associative Patch-based 1-to-N Matcher for Face Recognition
Unified Modeling Language for Describing Business Value Chain Activities
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking
(LiFT) Lightweight Fitness Transformer: A language-vision model for Remote Monitoring of Physical Training
Log-Sobolev inequality for near critical Ising models
Safety and Risk Pathways in Cooperative Generative Multi-Agent Systems: A Telecom Perspective
Community detection on complex networks based on a new centrality indicator and a new modularity function
One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings
Enhanced Arabic-language cyberbullying detection: deep embedding and transformer (BERT) approaches
Accelerating LSM-Tree with the Dentry Management of File System
Revisiting Methods for Finding Influential Examples
Security Implications Of Compiler Optimizations On Cryptography - A Review
Two-Variable Logic for Hierarchically Partitioned and Ordered Data
Automatic Identification of Stone-Handling Behaviour in Japanese Macaques Using LabGym Artificial Intelligence
Doubly robust nearest neighbors in factor models
SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning
The art of defense: letting networks fool the attacker
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
Four-Valued Semantics for Deductive Databases
Interpretable Decision-Making for End-to-End Autonomous Driving
Opportunistic Routing Based on Daily Routines
Extending UML for Conceptual Modeling of Annotation of Medical Images
TransNet: Transferable Neural Networks for Partial Differential Equations
Named Entity Recognition in the Legal Domain using a Pointer Generator Network
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models
ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
Shapley values and machine learning to characterize metamaterials for seismic applications
Community detection, link prediction, and layer interdependence in multilayer networks
GOOD: Towards Domain Generalized Orientated Object Detection
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
A Time-space Trade-off for Computing the Geodesic Center of a Simple Polygon
Online Adversarial Distillation for Graph Neural Networks
Security Assessment of the LG Cryptosystem
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
Evaluation of Information Retrieval Systems Using Structural Equation Modelling
Adaptive Multimodal Person Recognition: A Robust Framework for Handling Missing Modalities
Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach
Strategyproof Quota Mechanisms for Multiple Assignment Problems
What's (Not) Validating Network Paths: A Survey
Secret Sharing LDPC Codes for the Constrained Gaussian Wiretap Channel
PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View
Enhancing High-Level Synthesis with Automated Pragma Insertion and Code Transformation Framework
Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography
A Systematic Survey on Android API Usage for Data-Driven Analytics with Smartphones
Graph Convolutional Networks for Traffic Forecasting with Missing Values
An introduction to finite element methods for inverse coefficient problems in elliptic PDEs
Automatic Data Expansion for Customer-care Spoken Language Understanding
The impact of imbalanced training data on machine learning for author name disambiguation
A generalized quantum Slepian-Wolf
Event-driven Trajectory Optimization for Data Harvesting in Multi-Agent Systems
Gophormer: Ego-Graph Transformer for Node Classification
Osiris: A Lightweight Open-Source Hallucination Detection System
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Renormalized Normalized Maximum Likelihood and Three-Part Code Criteria For Learning Gaussian Networks
Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation
Session Types With Multiple Senders Single Receiver (report version)
Generic Knowledge Boosted Pre-training For Remote Sensing Images
AI-Driven Contextual Advertising: A Technology Report and Implication Analysis
Pressure-stabilized fixed-stress iterative solutions of compositional poromechanics
Discriminative Dictionary Learning based on Statistical Methods
Generative Models for Global Collaboration Relationships
A Comparative Taxonomy and Survey of Public Cloud Infrastructure Vendors
Finding influential users of an online health community: a new metric based on sentiment influence
An Improved Traditional Chinese Evaluation Suite for Foundation Model
The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure
Polynomial computational complexity of matrix elements of finite-rank-generated single-particle operators in products of finite bosonic states
Discrete All-Pay Bidding Games
Neuromorphic Computing with Deeply Scaled Ferroelectric FinFET in Presence of Process Variation, Device Aging and Flicker Noise
A customized flocking algorithm for swarms of sensors tracking a swarm of targets
Hopf-Frobenius Algebras and a Simpler Drinfeld Double
Embedded System for Recording and Controlling Hand Hygiene in Healthcare Environments
The Statistical Model for Ticker, an Adaptive Single-Switch Text-Entry Method for Visually Impaired Users
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Tweets on the road
Deep Learning with Eigenvalue Decay Regularizer
Quantum State Synthesis: Relation with Decision Complexity Classes and Impossibility of Synthesis Error Reduction
Condition monitoring of wind turbine blades via learning-based methods
CDP: a Content Discovery Protocol for Mobile P2P Systems
False-name-proof Mechanisms for Hiring a Team
OmniFusion Technical Report
Inaccurate Label Distribution Learning with Dependency Noise
Unsupervised Continuous Object Representation Networks for Novel View Synthesis
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations
APVAS: Reducing Memory Size of AS_PATH Validation by Using Aggregate Signatures
Leveraging LSTM and GAN for Modern Malware Detection
Five-Level Common-Ground Inverter Topology Using an Integrated Charge-Pump and Switched-Capacitor Network
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
On the near-optimality of betting confidence sets for bounded means
Generalized-impedance and Stability Criterion for Grid-connected Converters
Fundamental Mechanisms of Human Learning
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration
Can we use LLMs to bootstrap reinforcement learning? - A case study in digital health behavior change
Distributed algorithm for non-convex stochastic optimization with variance reduction
Efficient quantum recurrent reinforcement learning via quantum reservoir computing
xEEGNet: Towards Explainable AI in EEG Dementia Classification
Mitigating Bias in Graph Hyperdimensional Computing
Adaptive Cruise Control in Autonomous Vehicles: Challenges, Gaps, Comprehensive Review, and, Future Directions
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
How hard is it to verify flat affine counter systems with the finite monoid property ?
Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision
Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication
A Computational Approach to the Graceful Tree Conjecture
Mapping the Catacombs: An Underwater Cave Segment of the Devil's Eye System
Self-play Reinforcement Learning for Video Transmission
AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement Learning
Learning equivariant models by discovering symmetries with learnable augmentations
Criteria for the CloudSim Environment
Current Web Application Development and Measurement Practices for Small Software Firms
Explainable Artificial Intelligence in Retinal Imaging for the detection of Systemic Diseases
Best of Both Worlds: Multi-task Audio-Visual Automatic Speech Recognition and Active Speaker Detection
An Optimal Control Approach to Learning in SIDARTHE Epidemic model
Supervised DKRC with Images for Offline System Identification
Crouzeix's Conjecture and related problems
Self-supervised Robust Object Detectors from Partially Labelled datasets
COCI, the OpenCitations Index of Crossref open DOI-to-DOI citations
Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
SMITE: Enhancing Fairness in LLMs through Optimal In-Context Example Selection via Dynamic Validation
The Averaged Control System of Fast Oscillating Control Systems
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
On the Degree Automatability of Sum-of-Squares Proofs
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey
Weakly-Supervised Localization and Classification of Proximal Femur Fractures
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation
SBFT Tool Competition 2025 - Java Test Case Generation Track
Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception
Language Surgery in Multilingual Large Language Models
Chinese Restaurant Game - Part II: Applications to Wireless Networking, Cloud Computing, and Online Social Networking