yusuke1997/dblp-id-title huggingface dataset:
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
Cross-Platform Simulation Architecture with application to truck platooning impact assessment
Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems
On the quick search for the shortest paths in an unweighted dynamic graph by its projections in brief
Properties of the dual planar triangulations
Guardians of the Regime: When and Why Autocrats Create Secret Police
Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image
Metric, inertially aligned monocular state estimation via kinetodynamic priors
Deep Learning for Optical Misalignment Diagnostics in Multi-Lens Imaging Systems
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
Massive Wireless Energy Transfer: Enabling Sustainable IoT Towards 6G Era
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles
RNA as a Nanoscale Data Transmission Medium: Error Analysis
Regularization of systems of nonlinear ill-posed equations: II. Applications
OHQ: On-chip Hardware-aware Quantization
Query-by-example on-device keyword spotting
Design and Optimization of a Speech Recognition Front-End for Distant-Talking Control of a Music Playback Device
The Infrastructure Utilization of Free Contents Websites Reveal their Security Characteristics
Evaluation of the usability of web-based contiguous cartogram generation tools
Understanding Opinions Towards Climate Change on Social Media
In the Eyes of the Beholder: Sentiment and Topic Analyses on Social Media Use of Neutral and Controversial Terms for COVID-19
The CEO Problem with rth Power of Difference and Logarithmic Distortions
Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator
Using language models in the implicit automated assessment of mathematical short answer items
Safety-aware Policy Optimisation for Autonomous Racing
Meta-Embeddings Based On Self-Attention
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
Auto-Stabilized Weak Galerkin Finite Element Methods for Stokes Equations on Non-Convex Polytopal Meshes
LLMs on Trial: Evaluating Judicial Fairness for Large Language Models
Online Barycenter Estimation of Large Weighted Graphs
Free Space Optical Communication with Spatial Modulation and Coherent Detection over H-K Atmospheric Turbulence Channels
Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
Inferring topological transitions in pattern-forming processes with self-supervised learning
Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
A Combinatorial Characterization of Self-Stabilizing Population Protocols
Capelin: Data-Driven Capacity Procurement for Cloud Datacenters using Portfolios of Scenarios - Extended Technical Report
Evaluating the Predictive Capacity of ChatGPT for Academic Peer Review Outcomes Across Multiple Platforms
Variational Adaptive-Newton Method for Explorative Learning
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution
Minimizing the Latency of Quantum Circuits during Mapping to the Ion-Trap Circuit Fabric
Fast Parametric Model Checking
Recursively Summarizing Books with Human Feedback
DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction
ToolCoder: Teach Code Generation Models to use API search tools
Evolutionary Neural AutoML for Deep Learning
SPIDER: Fault Resilient SDN Pipeline with Recovery Delay Guarantees
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits
MSCViT: A Small-size ViT architecture with Multi-Scale Self-Attention Mechanism for Tiny Datasets
Matching Table Metadata with Business Glossaries Using Large Language Models
Reimagining Voltage-Controlled Cryogenic Boolean Logic Paradigm with Quantum-Enhanced Josephson Junction FETs
Measuring Domain Portability and ErrorPropagation in Biomedical QA
Data-driven Online Slice Admission Control and Resource Allocation for 5G and Beyond Networks
Training Step-Level Reasoning Verifiers with Formal Verification Tools
Design and Simulation of an Autonomous Quantum Flying Robot Vehicle: An IBM Quantum Experience
Large Language Model for Causal Decision Making
On the Bicriterion Maximum Flow Network Interdiction Problem
A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts
R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Time-Continuous and Time-Discontinuous Space-Time Finite Elements for Advection-Diffusion Problems
Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management
Fixed-to-Variable Length Distribution Matching
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
EDmamba: A Simple yet Effective Event Denoising Method with State Space Model
A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs
Resource allocation method using tug-of-war-based synchronization
Face-NMS: A Core-set Selection Approach for Efficient Face Recognition
How heterogeneous timing of participation across people improves diffusion
TractoGPT: A GPT architecture for White Matter Segmentation
Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks
Learned Single-Pixel Fluorescence Microscopy
Encrypted Dynamic Control exploiting Limited Number of Multiplications and a Method using Ring-LWE based Cryptosystem
Fast n-fold Boolean Convolution via Additive Combinatorics
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images
Compositional Game Theory, Compositionally
Robust Hybrid High-Order method on polytopal meshes with small faces
Dionysos.jl: a Modular Platform for Smart Symbolic Control
Cross-Layer Discrete Concept Discovery for Interpreting Language Models
Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method
Sequence-Based Incremental Concolic Testing of RTL Models
HMAFlow: Learning More Accurate Optical Flow via Hierarchical Motion Field Alignment
Class-Splitting Generative Adversarial Networks
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction
MemBERT: Injecting Unstructured Knowledge into BERT
Expressiveness of Logic Programs under General Stable Model Semantics
Adversarial Attacks Against Automated Fact-Checking: A Survey
Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs
The (Un)reliability of saliency methods
Learning Stochastic Dynamical System via Flow Map Operator
Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
Some remarks on spatial uniformity of solutions of reaction-diffusion PDE's and a related synchronization problem for ODE's
Regression from Dependent Observations
The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation
Fast symmetric factorization of hierarchical matrices with applications
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features
Robustness and efficiency of leaderless probabilistic consensus protocols within Byzantine infrastructures
The Bedwyr system for model checking over syntactic expressions
Sequential Bayesian Design for Efficient Surrogate Construction in the Inversion of Darcy Flows
Class-Conditional Defense GAN Against End-to-End Speech Attacks
A robust first order meshfree method for time-dependent nonlinear conservation laws
Collapsing the Decision Tree: the Concurrent Data Predictor
LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning
Map Memorization and Forgetting in the IARA Autonomous Car
Gesture Recognition for Feedback Based Mixed Reality and Robotic Fabrication: A Case Study of the UnLog Tower
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
Signal-Theoretic Characterization of Waveguide Mesh Geometries for Models of Two-Dimensional Wave Propagation in Elastic Media
LiDAR-GS:Real-time LiDAR Re-Simulation using Gaussian Splatting
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Rate Control for Wireless-Powered Communication Network with Reliability and Delay Constraints
Partition refinement for emulation
WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector
The equational theory of the natural join and inner union is decidable
Space Object Detection using Multi-frame Temporal Trajectory Completion Method
Cache-enabled Wireless Networks with Opportunistic Interference Alignment
Grammatical gender in Swedish is predictable using recurrent neural networks
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning
Probabilistic Similarity Networks
Branch: An interactive, web-based tool for testing hypotheses and developing predictive models
Convergence analysis of pixel-driven Radon and fanbeam transforms
Visual Generation Tuning
Uplink Multiple Access with Heterogeneous Blocklength and Reliability Constraints: Discrete Signaling with Treating Interference as Noise
Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers
Runners in action
Lightweight Knowledge Representations for Automating Data Analysis
Deep Convolutional Spiking Neural Networks for Image Classification
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Exploring The Neural Burden In Pruned Models: An Insight Inspired By Neuroscience
Information Security Awareness Within Business Environment: An IT Review
Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences
RDA: An Accelerated Collision-free Motion Planner for Autonomous Navigation in Cluttered Environments
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
An Unified Definition of Data Mining
A note on generalized tensor CUR approximation for tensor pairs and tensor triplets based on the tubal product
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs
A Twitter-Driven Deep Learning Mechanism for the Determination of Vehicle Hijacking Spots in Cities
Two-stage Stochastic Matching and Pricing with Applications to Ride Hailing
Localization of a unicycle-like mobile robot using LRF and omni-directional camera
What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing
The generalized stochastic preference choice model
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem
Mobile IoT device for BPM monitoring people with heart problems
Extropy Rate: Properties and Application in Feature Selection
Exploring Diachronic and Diatopic Changes in Dialect Continua: Tasks, Datasets and Challenges
Multishot Codes for Network Coding using Rank-Metric Codes
GenOM: Ontology Matching with Description Generation and Large Language Model
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
A Lagrangian Method for Constrained Dynamics in Tensegrity Systems with Compressible Bars
Granular-ball Guided Masking: Structure-aware Data Augmentation
On a semidefinite programming characterizations of the numerical radius and its dual norm
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary
A Model for the Influence of Media on the Ideology of Content in Online Social Networks
Segmentation of the Homogeneity of a Signal Using a Piecewise Linear Recognition Tool
Low Complexity Detector for XL-MIMO Uplink: A Cross Splitting Based Information Geometry Approach
Interpretable Clustering Ensemble
A Kernel Learning Method for Backward SDE Filter
Throughput Optimal Scheduling Policies in Networks of Interacting Queues
SARDO: An Automated Search-and-Rescue Drone-based Solution for Victims Localization
Average Token Delay: A Duration-aware Latency Metric for Simultaneous Translation
An Improved Constraint-Tightening Approach for Stochastic MPC
Transformers in Medicine: Improving Vision-Language Alignment for Medical Image Captioning
Fast Conversion Algorithms for Orthogonal Polynomials
Investigation of Hill Cipher Modifications Based on Permutation and Iteration
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems
KBest: Efficient Vector Search on Kunpeng CPU
Sharp concentration of uniform generalization errors in binary linear classification
Citation indices and dimensional homogeneity
Content-based data leakage detection using extended fingerprinting
Wireless Side-Lobe Eavesdropping Attacks
CREMP: Conformer-Rotamer Ensembles of Macrocyclic Peptides for Machine Learning
Privug: Quantifying Leakage using Probabilistic Programming for Privacy Risk Analysis
Zipf's Law and the Frequency of Characters or Words of Oracles
Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing
RRTS Dataset: A Benchmark Colonoscopy Dataset from Resource-Limited Settings for Computer-Aided Diagnosis Research
An Architectural View Type for Elasticity Modeling and Simulation - The Slingshot Approach
Human-centric Metric for Accelerating Pathology Reports Annotation
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
Desingularization in the q-Weyl algebra
Stuttering Conway Sequences Are Still Conway Sequences
Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control
Diagnosis of Acute Myeloid Leukaemia Using Machine Learning
Classification Schemas for Artificial Intelligence Failures
AlphaRank: An Artificial Intelligence Approach for Ranking and Selection Problems
The influence of funding on the Open Access citation advantage
Can LLMs subtract numbers?
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks
Unconditional optimal-order error estimates of linear relaxation compact difference scheme for the coupled nonlinear Schrödinger system
KAN based Autoencoders for Factor Models
Your device may know you better than you know yourself - continuous authentication on novel dataset using machine learning
Zero-free regions of partition functions with applications to algorithms and graph limits
ISQuant: apply squant to the real deployment
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
Investigating the Role of Explainability and AI Literacy in User Compliance
Fast and Fair Lock-Free Locks
FoLDTree: A ULDA-Based Decision Tree Framework for Efficient Oblique Splits and Feature Selection
Small snarks with large oddness
Geometric realizations of dichotomous ordinal graphs
Do LLMs exhibit human-like response biases? A case study in survey design
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation
DroidBot-GPT: GPT-powered UI Automation for Android
Analysis of corporate environmental reports using statistical techniques and data mining
Cooperative Solutions to Exploration Tasks Under Speed and Budget Constraints
Rule-based Anomaly Detection for Railway Signalling Networks
Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa
Quantum cyclic redundancy check codes
R 3 -Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos
Generalizing Fuzzy Logic Probabilistic Inferences
A Polynomial Lower Bound on the Number of Rounds for Parallel Submodular Function Minimization and Matroid Intersection
HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness Assessment
Can Large Language Models Generate Geospatial Code?
Transformed 𝓁 1 Regularization for Learning Sparse Deep Neural Networks
VEER: Disagreement-Free Multi-objective Configuration
Spiking Neural Networks for Fast-Moving Object Detection on Neuromorphic Hardware Devices Using an Event-Based Camera
Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights
High-Precision Surgical Robotic System for Intraocular Procedures
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
Phase-Amplitude Reduction and Optimal Phase Locking of Collectively Oscillating Networks
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning
A Novel Inner Approximation Method for the Aggregated Temporally-Coupled Power Flexibility of Distributed Energy Resources
BrainNPT: Pre-training of Transformer networks for brain network classification
On the Efficient Design of Network Resilient to Electro-Magnetic Pulse Attack - Elastic Optical Network Case Study
Singularity Distance Computations of 3-RPR Manipulators Using Intrinsic Metrics
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index
Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning
Modeling R 3 Needle Steering in Uppaal
Variable-Length Coding with Feedback: Finite-Length Codewords and Periodic Decoding
Improving in-context learning with a better scoring function
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation
Evolutional Deep Neural Network
Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
Advances in Multi-turn Dialogue Comprehension: A Survey
Efficient Diffusion Training through Parallelization with Truncated Karhunen-Loève Expansion
Incremental Compilation of Bayesian networks
Validation of homogenized finite element models of human metastatic vertebrae using digital volume correlation
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining
A Powerful Genetic Algorithm for Traveling Salesman Problem
Goal-oriented Communications based on Recursive Early Exit Neural Networks
Change of Scenery: Unsupervised LiDAR Change Detection for Mobile Robots
Prototyping and Test of the "Canis" HTS Planar Coil Array for Stellarator Field Shaping
Harmonic maps from post-critically finite fractals to the circle
Three-player entangled XOR games are NP-hard to approximate
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers
Cruising the Spectrum: Joint Spectrum Mobility and Antenna Array Management for Mobile (cm/mm)Wave Connectivity
VLA Model Post-Training via Action-Chunked PPO and Self Behavior Cloning
Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer Framework
Boosting insights in insurance tariff plans with tree-based machine learning
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation
From stage to page: language independent bootstrap measures of distinctiveness in fictional speech
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Large Language Models are Biased Reinforcement Learners
A Multi-Channel Diversity Based MAC Protocol for Power-Constrained Cognitive Ad Hoc Networks
Latency Fairness Optimization on Wireless Networks through Deep Reinforcement Learning
How to Save My Gas Fees: Understanding and Detecting Real-world Gas Issues in Solidity Programs
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology
Exploring a Double Full-Stack Communications-Enabled Architecture for Multi-Core Quantum Computers
Learning Mahalanobis Metric Spaces via Geometric Approximation Algorithms
An immersive Open Source environment using Godot
Efficient Robust Proper Learning of Log-concave Distributions
Reaching the speed limit of classical block ciphers via quantum-like operator spreading
Recovering Latent Confounders from High-dimensional Proxy Variables
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
BASE-SQL: A powerful open source Text-To-SQL baseline approach
Insights into mobile health application market via a content analysis of marketplace data with machine learning
Efficient Probabilistic Collision Detection for Non-Convex Shapes
Optimal discharge of patients from intensive care via a data-driven policy learning framework
Rank-Metric Codes with Local Recoverability
GANs beyond divergence minimization
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
Local Computing By Partial Quantifier Elimination
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
A Type Theory with a Tiny Object
Dynamic Data Structure for Tree-Depth Decomposition
Ultrasound Image Enhancement with the Variance of Diffusion Models
All in One: Multi-task Prompting for Graph Neural Networks
CLS-SMT: Bringing Together Combinatory Logic Synthesis and Satisfiability Modulo Theories
LISA: Towards Learned DNA Sequence Search
Tools for online tutorials: comparing capture devices, tutorial representations, and access devices
LATCH: Learned Arrangements of Three Patch Codes
Name Disambiguation from link data in a collaboration graph
TinyProp - Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning
PolyGAN: High-Order Polynomial Generators
Polygon Containment and Translational Min-Hausdorff-Distance between Segment Sets are 3SUM-Hard
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
End-to-End Training of a Neural HMM with Label and Transition Probabilities
Algorithms for Globally-Optimal Secure Signaling over Gaussian MIMO Wiretap Channels Under Interference Constraints
Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification
Jackal: A Real-World Execution-Based Benchmark Evaluating Large Language Models on Text-to-JQL Tasks
Godseed: Benevolent or Malevolent?
Multi-target Radar Detection within a Sparsity Framework
Dimension Reduction with Non-degrading Generalization
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
AI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
Subspace Clustering by Exploiting a Low-Rank Representation with a Symmetric Constraint
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Quantum-assisted learning of graphical models with arbitrary pairwise connectivity