yusuke1997/dblp-id-title huggingface dataset:
Dimensionality Reduction and Motion Clustering during Activities of Daily Living: 3, 4, and 7 Degree-of-Freedom Arm Movements
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks
Learning Autonomous Code Integration for Math Language Models
The Gene Mover's Distance: Single-cell similarity via Optimal Transport
Embedding 1-Planar Graphs in Ten Pages
S^2VG: 3D Stereoscopic and Spatial Video Generation via Denoising Frame Matrix
Measuring Political Polarization: Twitter shows the two sides of Venezuela
Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification
How individuals change language
Reoptimization of Parameterized Problems
Surrogate Modelling for Injection Molding Processes using Machine Learning
Energy efficiency analysis as a function of the working voltages in supercapacitors
Gransformer: Transformer-based Graph Generation
Causal Learning for Trustworthy Recommender Systems: A Survey
XULIA - Comprehensive control system for Windows tm devices designed for people with tetraplegia
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Development of Multifractal Models for Self-Similar Traffic Flows
Multiparty Compatibility for Concurrent Objects
Visual-tactile sensing for Real-time liquid Volume Estimation in Grasping
Oracle Separations for RPH
Interference Exploitation for Radar and Cellular Coexistence: The Power-Efficient Approach
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
Graphcore C2 Card performance for image-based deep learning application: A Report
High Performance Visual Object Tracking with Unified Convolutional Networks
The Organization of Strong Links in Complex Networks
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images
Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption
HotSpot: Screened Poisson Equation for Signed Distance Function Optimization
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
Ranking in evolving complex networks
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences
Learning-Based Defect Recognitions for Autonomous UAV Inspections
Continuous User Authentication via Unlabeled Phone Movement Patterns
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs
From Pick-Up Artists to Incels: A Data-Driven Sketch of the Manosphere
LLM Generated Persona is a Promise with a Catch
Legends: Folklore on Reddit
Getting Gender Right in Neural Machine Translation
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
Algorithms and Complexity for Variants of Covariates Fine Balance
Penalty logic and its Link with Dempster-Shafer Theory
SpotLight: Robotic Scene Understanding through Interaction and Affordance Detection
The Computational Complexity of Variational Inequalities and Applications in Game Theory
Electric power system security: the case for an integrated cyber-physical risk management framework
Detecting Viral Social Events through Censored Observation with Deep Survival Analysis
A Software Ecosystem Reshaped by a Paradigm Shift: the CSI-Piemonte Case
A note on the convergence of multigrid methods for the Riesz-space equation and an application to image deblurring
Schema Evolution for Persistent Object-Oriented Software: Model, Empirical Study, and Automated Support
Deep Diffusion Maps
Bandit-Based Charging with Beamforming for Mobile Wireless-Powered IoT Systems
Code Constructions based on Reed-Solomon Codes
MontiCore: A Framework for the Development of Textual Domain Specific Languages
NIMSA: Non-Interactive Multihoming Security Authentication Scheme for vehicular communications in Mobile Heterogeneous Networks
Distributed Learning in Markovian Restless Bandits over Interference Graphs for Stable Spectrum Sharing
Transformer with Tree-order Encoding for Neural Program Generation
A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling
Order-Sorted Intensional Logic: Expressing Subtyping Polymorphism with Typing Assertions and Quantification over Concepts
Human-AI collaborative autonomous synthesis with pulsed laser deposition for remote epitaxy
Spatial-Temporal Alignment Network for Action Recognition
A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis
Interference Aware Channel Assignmnet Using Edge Coloring in Multi-Channel Multi-Radio Wireless Mesh Networks
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
IFShip: A Large Vision-Language Model for Interpretable Fine-grained Ship Classification via Domain Knowledge-Enhanced Instruction Tuning
Privileged Knowledge Distillation for Online Action Detection
Neural Network-based Flight Control Systems: Present and Future
Transformers as Graph-to-Graph Models
Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
Wall-Street: Smart Surface-Enabled 5G mmWave for Roadside Networking
Multi-party computation for secure polynomial control
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
LLMs are Meaning-Typed Code Constructs
Covert communication with Gaussian noise: from random access channel to point-to-point channel
Nyquist Filter Design using POCS Methods: Including Constraints in Design
iKalibr-RGBD: Partially-Specialized Target-Free Visual-Inertial Spatiotemporal Calibration For RGBDs via Continuous-Time Velocity Estimation
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Physics-Informed Quantum Machine Learning for Solving Partial Differential Equations
An Improved Formula for Jacobi Rotations
Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
Beyond Real versus Fake Towards Intent-Aware Video Analysis
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback
Linked Cell Traversal Algorithms for Three-Body Interactions in Molecular Dynamics
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in ReLU Networks
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain
The Abstract Structure of Quantum Algorithms
Large Population Models
Chua Circuit based on the Exponential Characteristics of Semiconductor Devices
Survey and Comparison of Optical Switch Fabrication Techniques and Architectures
AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms
Deep Learning for Hate Speech Detection: A Comparative Study
Generalized Orbicular (m,n,o) T-Spherical Fuzzy Sets with Hamacher Aggregation Operators and Application to Multi-Criteria Group Decision Making
Open-vocabulary Phrase Detection
The Extended Codes of Some Linear Codes
Responsible Artificial Intelligence Systems: A Roadmap to Society's Trust through Trustworthy AI, Auditability, Accountability, and Governance
Parallel Implementations of the Jacobi Linear Algebraic Systems Solve
A non-ergodic PCA with a unique invariant measure
Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification
SG-LDM: Semantic-Guided LiDAR Generation via Latent-Aligned Diffusion
Benchmarking missing-values approaches for predictive models on health databases
A machine learning approach to predicting dynamical observables from network structure
Wikipedia: A Challenger's Best Friend? Utilising Information-seeking Behaviour Patterns to Predict US Congressional Elections
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layer
On the Approximate Solution of Integral Equations with Logarithmic Kernels Using the Third Kind of Chebyshev Polynomials
CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge Distillation
One Deterministic-Counter Automata
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
Industrial Symbiotic Relations as Cooperative Games
A fully decentralized auditing approach for edge computing: A Game-Theoretic Perspective
Common and Individual Features Analysis: Beyond Canonical Correlation Analysis
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks
Biologically Inspired Execution Framework for Vulnerable Workflow Systems
Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities
How to Deploy Intelligent Reflecting Surfaces in Wireless Network: BS-side, User-side, or Both Sides?
Doubly Wild Refitting: Model-Free Evaluation of High Dimensional Black-Box Predictions under Convex Losses
AI-Driven Code Refactoring: Using Graph Neural Networks to Enhance Software Maintainability
The Sequential Algorithm for Combined State of Charge and State of Health Estimation of Lithium Ion Battery based on Active Current Injection
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Flight Control System Design for Autonomous Aerial Surveys of Volcanoes
Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices
Equivariant-Aware Structured Pruning for Efficient Edge Deployment: A Comprehensive Framework with Adaptive Fine-Tuning
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
Towards End-to-end Text Spotting with Convolutional Recurrent Neural Networks
A Sweeping Positivity-Preserving High Order Finite Difference WENO Scheme for Euler Equations
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
Range-efficient consistent sampling and locality-sensitive hashing for polygons
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning
A Spatio-temporal Graph Network Allowing Incomplete Trajectory Input for Pedestrian Trajectory Prediction
Exact Unlearning of Finetuning Data via Model Merging at Scale
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
Remote Identification Trajectory Coverage in Urban Air Mobility Applications
MinorBench: A hand-built benchmark for content-based risks for children
Algorithmic Correspondence for Hybrid Logic with Binder
Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty
Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling
Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts
Investigating the Convergence of Sigmoid-Based Fuzzy General Grey Cognitive Maps
Synchronization of mean-field models on the circle
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
LumiNet: The Bright Side of Perceptual Knowledge Distillation
Combining Weakly and Webly Supervised Learning for Classifying Food Images
Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization
Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning
UniSE: A Unified Framework for Decoder-only Autoregressive LM-based Speech Enhancement
Performance of a Link in a Field of Vehicular Interferers with Hardcore Headway Distance
Explicit Good Subspace-metric and Subset-metric Codes as Insertion-deletion Codes
Computational complexity of guarding of proximity graphs
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations
Characterization and collection of information from heterogeneous multimedia sources with users' parameters for decision support
Tempo-Invariant Processing of Rhythm with Convolutional Neural Networks
Energy-Driven Steering: Reducing False Refusals in Large Language Models
Spiking Neural Networks: A Stochastic Signal Processing Perspective
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings
Link Prediction Using Supervised Machine Learning based on Aggregated and Topological Features
A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media
Zero-Error Classical Channel Capacity and Simulation Cost Assisted by Quantum Non-Signalling Correlations
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Recovering Epipolar Geometry from Images of Smooth Surfaces
Text2Layer: Layered Image Generation using Latent Diffusion Model
A Fast Numerical Fitting Approach to Calculate the Likelihood of Particles in Particle Filters
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
Convolutional Free-space Optical Neural Networks for Image Recognition
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning
Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions
Target Prompting for Information Extraction with Vision Language Model
Security Analysis of the Unrestricted Identity-Based Aggregate Signature Scheme
Interpreting Spatially Infinite Generative Models
LLMs in Biomedicine: A study on clinical Named Entity Recognition
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
Joint BS-RIS-User Association and Beamforming Design for RIS-assisted Cellular Networks
ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models
Meta-Solver for Neural Ordinary Differential Equations
SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs
Linear extensions of finite posets
Effectiveness of the COVID-19 Contact-Confirming Application (COCOA) based on a Multi Agent Simulation
PersonaMatrix: A Recipe for Persona-Aware Evaluation of Legal Summarization
CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface
Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis
Response Collector: A Video Learning System for Flipped Classrooms
Réseaux d'Automates de Caianiello Revisité
Improving Outbreak Detection with Stacking of Statistical Surveillance Methods
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems
Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances
StyLEx: Explaining Styles with Lexicon-Based Human Perception
Dynamics of Open-Source Software Developer's Commit Behavior: An Empirical Investigation of Subversion
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation
A Constant Velocity Latent Dynamics Approach for Accelerating Simulation of Stiff Nonlinear Systems
Efficient Mutation Testing via Pre-Trained Language Models
Delay-Aware Model-Based Reinforcement Learning for Continuous Control
Progressive Cluster Purification for Transductive Few-shot Learning
Copula-based conformal prediction for Multi-Target Regression
CryptoTensors: A Light-Weight Large Language Model File Format for Highly-Secure Model Distribution
Blind Compressive Sensing Framework for Collaborative Filtering
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise
Traduction des Grammaires Catégorielles de Lambek dans les Grammaires Catégorielles Abstraites
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models
Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models
Self-Supervised Learning based Depth Estimation from Monocular Images
Krasovskii's Passivity
Framework for understanding quantum computing use cases from a multidisciplinary perspective and future research directions
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping
A Robust Zero-Watermark Scheme with Similarity-based Retrieval for Copyright Protection of 3D Video
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake
Calibrated Unsupervised Anomaly Detection in Multivariate Time-series using Reinforcement Learning
Universal Reinforcement Learning
Generating Decision Structures and Causal Explanations for Decision Making
On the Dual-Use Dilemma in Physical Reasoning and Force
MINERVA: Mutual Information Neural Estimation for Supervised Feature Selection
Exploring The Contribution of Unlabeled Data in Financial Sentiment Analysis
Set2Box: Similarity Preserving Representation Learning of Sets
Generalized splines on graphs with two labels and polynomial splines on cycles
Error estimates for semi-discrete finite element approximations for a moving boundary problem capturing the penetration of diffusants into rubber
Contrastive Language-Structure Pre-training Driven by Materials Science Literature
Logical Signal Processing: a Fourier Analysis of Temporal Logic
Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning
Modelling Privacy Compliance in Cross-border Data Transfers with Bigraphs
Generative Sequential Notification Optimization via Multi-Objective Decision Transformers
Predicting Generalization in Deep Learning via Local Measures of Distortion
Multimodal Learning with Transformers: A Survey
Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams
Understanding and Optimizing Serverless Workloads in CXL-Enabled Tiered Memory
Performance Bounds for Nash Equilibria in Submodular Utility Systems with User Groups
Process Migration over CCNx
Integrity-Enhancing Replica Coordination for Byzantine Fault Tolerant Systems
Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation
Exploring SSL Discrete Tokens for Multilingual ASR
Toward a Cohesive AI and Simulation Software Ecosystem for Scientific Innovation
Conditioning Normalizing Flows for Rare Event Sampling
Robust Face Recognition with Structural Binary Gradient Patterns
Evaluation of Thermal Performance of a Wick-free Vapor Chamber in Power Electronics Cooling
On the primitivity of Lai-Massey schemes
Nano1D: An accurate Computer Vision model for segmentation and analysis of low-dimensional objects
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
Advanced vehicle safety and content distribution system
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
Less interaction with forward models in Langevin dynamics
Billion-files File Systems (BfFS): A Comparison
Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Learning Scalable Self-Driving Policies for Generic Traffic Scenarios
Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
Network interpolation
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
Solving the Porous Medium Equation with the eXtreme Mesh deformation approach (X-Mesh)
Adaptive Replication in Distributed Content Delivery Networks
First to Market is not Everything: an Analysis of Preferential Attachment with Fitness
Guide: Generalized-Prior and Data Encoders for DAG Estimation
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
Margin-Based Regularization and Selective Sampling in Deep Neural Networks
Neural Network Memory Architectures for Autonomous Robot Navigation
The Verification-Value Paradox: A Normative Critique of Gen AI in Legal Practice
Graph Defense Diffusion Model
FinAI Data Assistant: LLM-based Financial Database Query Processing with the OpenAI Function Calling API
Anytime Planning: A Motion Planner for Dynamic Environment
An Empirical Study of LLM-Based Code Clone Detection
Approximation Algorithms for School Assignment: Group Fairness and Multi-criteria Optimization
MUT3R: Motion-aware Updating Transformer for Dynamic 3D Reconstruction
Evaluating Small Vision-Language Models on Distance-Dependent Traffic Perception
Investigation of condominium building collapse in Surfside, Florida: a video feature tracking approach
Reinforcement learning of rare diffusive dynamics
Collaboration of Teachers for Semi-supervised Object Detection
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization
A Model of the Optimal Selection of Crypto Assets
Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
Segment Discovery: Enhancing E-commerce Targeting
Self-Evolving Wireless Communications: A Novel Intelligence Trend for 6G and Beyond
SuperCalo: Calorimeter shower super-resolution
Meta-learning approaches for few-shot learning: A survey of recent advances
A Review of Community-Centric Power Systems Resilience Assessment and Enhancement Strategies
Spreadsheet Guardian: An Approach for Protecting Semantic Correctness throughout the Evolution of Spreadsheets
IP over P2P: Enabling Self-configuring Virtual IP Networks for Grid Computing
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning
CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration
Pinching-Antenna Systems with In-Waveguide Attenuation: Performance Analysis and Algorithm Design
Verifying Heaps' law using Google Books Ngram data
Optimization of Information Rate Upper and Lower Bounds for Channels with Memory
Rigorous Analysis of Software Countermeasures against Cache Attacks
Forest understory trees revealed using sufficiently dense airborne laser scanning point clouds
Lipreading using Temporal Convolutional Networks
Towards NLP-supported Semantic Data Management
Handwritten Character Recognition from Wearable Passive RFID
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks
Approximation-free control for unknown systems with performance and input constraints
Designing off-sample performance metrics
eXtended Reality for Autism Interventions: The importance of Mediation and Sensory-Based Approaches