yusuke1997/dblp-id-title huggingface dataset:
Formal Modelling and Verification of Software Defined Network
GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
A Note on Graph-Based Nearest Neighbor Search
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
Revenge of MLP in Sequential Recommendation
Physics-data hybrid dynamic model of a multi-axis manipulator for sensorless dexterous manipulation and high-performance motion planning
Condense to Conduct and Conduct to Condense
On the Stability of a N-class Aloha Network
SAM-dPCR: Real-Time and High-throughput Absolute Quantification of Biological Samples Using Zero-Shot Segment Anything Model
Online Instrumental Variable Regression: Regret Analysis and Bandit Feedback
How Do Diffusion Models Improve Adversarial Robustness?
Search Strategies for Self-driving Laboratories with Pending Experiments
Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
AI Agents with Human-Like Collaborative Tools: Adaptive Strategies for Enhanced Problem-Solving
An Algorithm to Warm Start Perturbed (WASP) Constrained Dynamic Programs
Capacity Maximization Pattern Design for Reconfigurable MIMO Antenna Array
Reliability of Power System Frequency on Times-Stamping Digital Recordings
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
Data Analysis: Communicating with Offshore Vendors using Instant Messaging Services
SSGD: A smartphone screen glass dataset for defect detection
GLAP: General contrastive audio-text pretraining across domains and languages
System F ω with Coherent Implicit Resolution
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
Let the Barbarians In: How AI Can Accelerate Systems Performance Research
Regenerating Codes for Errors and Erasures in Distributed Storage
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States
Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysis
Large Profits or Fast Gains: A Dilemma in Maximizing Throughput with Applications to Network Processors
Web Application for Collaborative Semantic Web Information Architecture
Sarrus-inspired Deployable Polyhedral Mechanisms
Performance and Construction of Polar Codes on Symmetric Binary-Input Memoryless Channels
Vision-Based Cooperative Estimation of Averaged 3D Target Pose under Imperfect Visibility
Real-time data muling using a team of heterogeneous unmanned aerial vehicles
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
Recent Developments in Aerial Robotics: A Survey and Prototypes Overview
MORPHEUS: A Multidimensional Framework for Modeling, Measuring, and Mitigating Human Factors in Cybersecurity
A positivity-preserving, energy stable scheme for a Ternary Cahn-Hilliard system with the singular interfacial parameters
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
Boosting of Implicit Neural Representation-based Image Denoiser
An algorithm for a constrained P-spline
Uniform Convergence Rates for Lipschitz Learning on Graphs
Machine-based Multimodal Pain Assessment Tool for Infants: A Review
KNN and Time Series Based Prediction of Power Generation from Renewable Resources
ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks
Hausdorff Point Convolution with Geometric Priors
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
Full history recursive multilevel Picard approximations for ordinary differential equations with expectations
Geometric Atlas of the Middle Ear and Paranasal Sinuses for Robotic Applications
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection
3D Audio-Visual Segmentation
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup
Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
Computational Baby Learning
Détermination Automatique des Fonctions d'Appartenance et Interrogation Flexible et Coopérative des Bases de Données
Computing basepoints of linear series in the plane
Entropy-conservative high-order methods for high-enthalpy gas flows
Universal Approximation Theorem for a Single-Layer Transformer
Modern Augmented Reality: Applications, Trends, and Future Directions
Adversarial Attack on Facial Recognition using Visible Light
Matched Filtering from Limited Frequency Samples
VH-Diffuser: Variable Horizon Diffusion Planner for Time-Aware Goal-Conditioned Trajectory Planning
X-ray Dissectography Improves Lung Nodule Detection
FADE: A Dataset for Detecting Falling Objects around Buildings in Video
Saliency Enhancement using Gradient Domain Edges Merging
Unbiased Platform-Level Causal Estimation for Search Systems: A Competitive Isolation PSM-DID Framework
Rigorous Deductive Argumentation for Socially Relevant Issues
JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases
On the Identifiablility of Nonlocal Interaction Kernels in First-Order Systems of Interacting Particles on Riemannian Manifolds
The complexity of mean payoff games using universal graphs
An eigen decomposition based closed-form solution for the Discrete Lyapunov and Stein Equations
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Robust Integral Consensus Control of Multi-Agent Networks Perturbed by Matched and Unmatched Disturbances: The Case of Directed Graphs
Neural Fuzzing: A Neural Approach to Generate Test Data for File Format Fuzzing
Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space
Recovering decimation-based cryptographic sequences by means of linear CAs
hidden markov random fields and cuckoo search method for medical image segmentation
Distortion Search, A Web Search Privacy Heuristic
A combinatorial algorithm to generate all spanning trees of a weighted graph in order of increasing cost
Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models
Uncertainty-Driven Dense Two-View Structure from Motion
CTE-MLO: Continuous-time and Efficient Multi-LiDAR Odometry with Localizability-aware Point Cloud Sampling
On Networks Over Finite Rings
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
Robust Compressive Phase Retrieval via Deep Generative Priors
Strong Approximations and Irrationality in Financial Networks with Financial Derivatives
Failures to Surface Harmful Contents in Video Large Language Models
Linking Physics and Psychology of Bistable Perception Using an Eye Blink Inspired Quantum Harmonic Oscillator Model
Towards an Understanding of the Effects of Augmented Reality Games on Disaster Management
Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods
Explaining Reward Functions to Humans for Better Human-Robot Collaboration
A New Family of Tractable Ising Models
Steamroller Problems: An Evaluation of LLM Reasoning Capability with Automated Theorem Prover Strategies
Generating Explanations to Understand and Repair Embedding-based Entity Alignment
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes
ITSELF: Iterative Saliency Estimation fLexible Framework
KIF: A Framework for Virtual Integration of Heterogeneous Knowledge Bases using Wikidata
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications
Understanding Task Representations in Neural Networks via Bayesian Ablation
Learning Distributions from their Samples under Communication Constraints
Lexical Normalisation of Twitter Data
Pyramid Multi-branch Fusion DCNN with Multi-Head Self-Attention for Mandarin Speech Recognition
Multi-Scenario Reasoning: Unlocking Cognitive Autonomy in Humanoid Robots for Multimodal Understanding
Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning
Impact of Metro Cell Antenna Pattern and Downtilt in Heterogeneous Networks
Cost Sharing in Social Community Networks
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
XChainWatcher: Monitoring and Identifying Attacks in Cross-Chain Bridges
Promoting the Research of Health Behavior Change in Chinese HCI Community
Small-scale inhibiting characteristics of residual and solution filtering
BABD: A Bitcoin Address Behavior Dataset for Address Behavior Pattern Analysis
Spectral Feature Transformation for Person Re-identification
Considering the Difference in Utility Functions of Team Players in Adversarial Team Games
Combining patch-based strategies and non-rigid registration-based label fusion methods
Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
Big-means: Less is More for K-means Clustering
Avgust: Automating Usage-Based Test Generation from Videos of App Executions
Effects of structural properties of neural networks on machine learning performance
Digitizing Historical Balance Sheet Data: A Practitioner's Guide
Mining Frequent Itemsets (MFI) over Data Streams: Variable Window Size (VWS) by Context Variation Analysis (CVA) of the Streaming Transactions
Low SNR Capacity of Fading Channels -- MIMO and Delay Spread
Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection
Latent Gene Diffusion for Spatial Transcriptomics Completion
A Post-Training Enhanced Optimization Approach for Small Language Models
Urban Visibility Hotspots: Quantifying Building Vertex Visibility from Connected Vehicle Trajectories using Spatial Indexing
Continuation-passing Style Models Complete for Intuitionistic Logic
Architecture of a Fuzzy Expert System Used for Dyslalic Children Therapy
Song Emotion Recognition: a Performance Comparison Between Audio Features and Artificial Neural Networks
No existence of linear algorithm for Fourier phase retrieval
Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification
ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
Feedforward Control of Magnetically Levitated Planar Actuators
Sequencing seismograms: A panoptic view of scattering in the core-mantle boundary region
CVABS: Moving Object Segmentation with Common Vector Approach for Videos
Junior Software Developers' Perspectives on Adopting LLMs for Software Engineering: a Systematic Literature Review
Algebraic Meta-Theory of Processes with Data
Grey-box models for wave loading prediction
Linear programming and the intersection of subgroups in free groups
Predicting Adverse Media Risk using a Heterogeneous Information Network
Secure MapReduce Power Iteration in the Cloud
Extreme event probability estimation using PDE-constrained optimization and large deviation theory, with application to tsunamis
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
GPD-1: Generative Pre-training for Driving
Justifying Diagnosis Decisions by Deep Neural Networks
On the Tail Transition of First Arrival Position Channels: From Cauchy to Exponential Decay
Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms
Prefix-bounded matrices
SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces
ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
BHEISR: Nudging from Bias to Balance - Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
A portfolio-based analysis method for competition results
The effect of a country's name in the title of a publication on its visibility and citability
Many-to-Many Matching Games for Proactive Social-Caching in Wireless Small Cell Networks
Fourier-Guided Attention Upsampling for Image Super-Resolution
Synthesizing Modular Manipulators For Tasks With Time, Obstacle, And Torque Constraints
Lexical Acquisition via Constraint Solving
An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
An Investigation into Neuromorphic ICs using Memristor-CMOS Hybrid Circuits
Time Series Prediction for Food sustainability
Near-Equilibrium Propagation training in nonlinear wave systems
Viola: A Topic Agnostic Generate-and-Rank Dialogue System
Hybrid DeepONet Surrogates for Multiphase Flow in Porous Media
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds
MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance
Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems
GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians
Context for models of concurrency
Feedback Identification of conductance-based models
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations
Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Pushing the Limits of Online Auto-tuning: Machine Code Optimization in Short-Running Kernels
Simplified Kinematics of Continuum Robot Equilibrium Modulation via Moment Coupling Effects and Model Calibration
Precoded Zak-OTFS for Per-Carrier Equalization
Two Formal Systems of the $λδ$ Family Revised
Conservative approximation-based feedforward neural network for WENO schemes
Threshold dynamics in time-delay systems: polynomial β-control in a pressing process and connections to blow-up
Graph Laplacian-based Bayesian Multi-fidelity Modeling
The Limit of Convexity Based Isoperimetry: Sampling Harmonic-Concave Functions
nerblackbox: A High-level Library for Named Entity Recognition in Python
Stochastic Hazard Detection For Landing Under Topographic Uncertainty
SARNet: A Spike-Aware consecutive validation Framework for Accurate Remaining Useful Life Prediction
A quick search method for audio signals based on a piecewise linear representation of feature trajectories
Modernizing Historical Documents: a User Study
Interactive Binary Image Segmentation with Edge Preservation
Transfer Learning for Underrepresented Music Generation
Layer 2 Atomic Cross-Blockchain Function Calls
Neural Self Talk: Image Understanding via Continuous Questioning and Answering
Towards a Live Anonymous Question Queue To Address Student Apprehension
Effects of Kerr nonlinearity in physical unclonable functions
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions
Machine Learning based Autotuning of a GPU-accelerated Computational Fluid Dynamics Code
EventHunter: Dynamic Clustering and Ranking of Security Events from Hacker Forum Discussions
3D IC optimal layout design. A parallel and distributed topological approach
Robustifying Language Models with Test-Time Adaptation
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations
On PQC Migration and Crypto-Agility
Non-Termination Inference of Logic Programs
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion
Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion
SoK: Beyond IoT MUD Deployments - Challenges and Future Directions
A constrained optimization approach to improve robustness of neural networks
A Novel Visualization System of Using Augmented Reality in Knee Replacement Surgery: Enhanced Bidirectional Maximum Correntropy Algorithm
Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Rethinking the Knowledge Distillation From the Perspective of Model Calibration
Some Grammatical Errors are Frequent, Others are Important
Magnitude of arithmetic scalar and matrix categories
Pareto-Optimization Framework for Automated Network-on-Chip Design
Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks
Latent Properties of Lifelong Learning Systems
Bottleneck potentials in Markov Random Fields
Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation
The Neural Particle Method - An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
Methodology of Adapting Large English Language Models for Specific Cultural Contexts
Blockchain and Edge Computing Nexus: A Large-scale Systematic Literature Review
The Černy conjecture
Contextuality, Holonomy and Discrete Fiber Bundles in Group-Valued Boltzmann Machines
Human-Aware Navigation Planner for Diverse Human-Robot Contexts
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
A Novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms
A Generative Approach to High Fidelity 3D Reconstruction from Text Data
Optimal SMC for Transactional Programs
Reconfigurable Intelligent Surfaces based RF Sensing: Design, Optimization, and Implementation
Classification and taxonomy of mobile application usability issues
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles
Set Visualizations for Comparing and Evaluating Machine Learning Models
ERMV: Editing 4D Robotic Multi-view images to enhance embodied agents
An adversarial feature learning based semantic communication method for Human 3D Reconstruction
Visual Attention: Deep Rare Features
IVOA Recommendation: TAPRegExt: a VOResource Schema Extension for Describing TAP Services
Relating the Seemingly Unrelated: Principled Understanding of Generalization for Generative Models in Arithmetic Reasoning Tasks
Harmonic-Balance Based Power Flow and ZVS Analysis of a Quad-Active Bridge DC-DC Converter
Securing Tor Tunnels under the Selective-DoS Attack
Early Classification of Time Series is Meaningful
Message-passing algorithm of quantum annealing with nonstoquastic Hamiltonian
Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove
Taming Non-stationary Bandits: A Bayesian Approach
ProLab: perceptually uniform projective colour coordinate system
Optimal Learning of Specifications from Examples
Federated Learning via Synthetic Data
The Use of Gaussian Processes in System Identification
Collective and synchronous dynamics of photonic spiking neurons
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
Neural eliminators and classifiers
Dissipative stabilization of linear input delay systems via dynamical state feedback controllers: an optimization based approach
Channel Measurement and Characterization with Modified SAGE Algorithm in an Indoor Corridor at 300 GHz
Distributed Detection over Random Networks: Large Deviations Analysis
Adversarial Training for Process Reward Models
A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources
UAV Optimal Guidance in Wind Fields Using ZEM/ZEV with Generalized Performance Index
A Variant of Gradient Descent Algorithm Based on Gradient Averaging
Inclusion in Virtual Reality Technology: A Scoping Review
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
Perspective Plane Program Induction from a Single Image
MaskedNet: A Pathway for Secure Inference against Power Side-Channel Attacks
Consistency-preserving Visual Question Answering in Medical Imaging
Energy-Efficient Mining for Blockchain-Enabled IoT Applications. An Optimal Multiple-Stopping Time Approach
A Spatio-Temporal Kernel Density Estimation Framework for Predictive Crime Hotspot Mapping and Evaluation
The Redundancy of Slepian-Wolf Coding Revisited
KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
Hierarchical Learning for Modular Robots
Seed Stocking Via Multi-Task Learning
Factorization norms and Zarankiewicz problems
Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions
Graphically E-Learning introduction and its benefits in Virtual Learning
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning
Automation of Pedestrian Tracking in a Crowded Situation
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs
Coherence Optimization in Neutron Interferometry through Defocussing
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing
Federated Fairness Analytics: Quantifying Fairness in Federated Learning
Towards A Comprehensive Assessment of AI's Environmental Impact
Production and Manufacturing of 3D Printed Acoustic Guitars
A Heuristic for Reachability Problem in Asynchronous Binary Automata Networks
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks
Ride-hailing Impacts on Transit Ridership: Chicago Case Study
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining
Zero Dynamics, Pendulum Models, and Angular Momentum in Feedback Control of Bipedal Locomotion
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks
A Simple Attention-Based Mechanism for Bimodal Emotion Classification
Private Posterior distributions from Variational approximations
Absolute Triangulation Algorithms for Space Exploration
Cognitive Prompts Using Guilford's Structure of Intellect Model
Unsupervised particle sorting for high-resolution single-particle cryo-EM
Distributed Algorithms in Multihop Broadcast Networks
Neural Networks, Hypersurfaces, and Radon Transforms
Fast and accessible first-principles calculations of vibrational properties of materials
Code distances: a new family of invariants of linear codes
A Hybrid Modified Semantic Matching Algorithm Based on Instances Detection With Case Study on Renewable Energy
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map
Further Results on Languages of Membrane Structures
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
Theano: A Python framework for fast computation of mathematical expressions
Synthetic Industrial Object Detection: GenAI vs. Feature-Based Methods
InteraSSort: Interactive Assortment Planning Using Large Language Models
Efficient Compressed Sensing Based Image Coding by Using Gray Transformation
A Secure Architecture for Standard Medical Imaging Repositories
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
Layered Image Compression using Scalable Auto-encoder
Max-Cut with ε-Accurate Predictions
The Era of Agentic Organization: Learning to Organize with Language Models