yusuke1997/dblp-id-title huggingface dataset:
Considering users' behaviours in improving the responses of an information base
From Developer Pairs to AI Copilots: A Comparative Study on Knowledge Transfer
Stop overkilling simple tasks with black-box models and use transparent models instead
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement
Approximation Algorithms for Inventory Problems with Submodular or Routing Costs
Star sampling with and without replacement
Small-Signal Stability of Load and Network Dynamics on Grid-Forming Inverters
An Entropy Search Portfolio for Bayesian Optimization
Compilation of Propositional Weighted Bases
A semantic hierarchical graph neural network for text classification
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision
Generalizable Person Search on Open-world User-Generated Video Content
Fingerprinting with Minimum Distance Decoding
Progressive Bit-Flipping Decoding of Polar Codes Over Layered Critical Sets
Reservoir Computing Using Complex Systems
Real-Time Animatable 2DGS-Avatars with Detail Enhancement from Monocular Videos
ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments
RDS-DeePC: Robust Data Selection for Data-Enabled Predictive Control via Sensitivity Score
Modeling Infectious Diseases: From SIR Models to Diffusion-Based Approaches and Numerical Solutions
Contextual Categorization Enhancement through LLMs Latent-Space
User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
Complex Objects in the Polytopes of the Linear State-Space Process
Text Compression and Superfast Searching
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
FENDI: High-Fidelity Entanglement Distribution in the Quantum Internet
Optimizations of Management Algorithms for Multi-Level Memory Hierarchy
Melodic Phrase Segmentation By Deep Neural Networks
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Hey Dona! Can you help me with student course registration?
Generalization for slowly mixing processes
WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding
Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems
Deformation of the panoramic sphere into an ellipsoid to induce self-motion in telepresence users
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network
Segment anything model (SAM) for brain extraction in fMRI studies
S 3 Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
Comprehensive and Reliable Crowd Assessment Algorithms
Dodging the Sparse Double Descent
Analyzing 3D Volume Segmentation by Low-level Perceptual Cues, High-level Cognitive Tasks, and Decision-making Processes
Improving Zero Shot Learning Baselines with Commonsense Knowledge
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body
Information Theoretic Caching: The Multi-User Case
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization
Study on modeling 40t ultra high power (UHP) electric furnace
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System
Sinestesia as a model for HCI: a Systematic Review
TAPS: Tool-Augmented Personalisation via Structured Tagging
ESCape the ClassRoom
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Compositional Algorithms for Succinct Safety Games
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
Of Degens and Defrauders: Using Open-Source Investigative Tools to Investigate Decentralized Finance Frauds and Money Laundering
ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation
Deep Reinforcement Learning with Gradient Eligibility Traces
app.build: A Production Framework for Scaling Agentic Prompt-to-App Generation with Environment Scaffolding
Parameter-Parallel Distributed Variational Quantum Algorithm
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
Nash equilibrium seeking under partial decision information: Monotonicity, smoothness and proximal-point algorithms
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs
Mood-based On-Car Music Recommendations
HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMD
A localization approach for autonomous underwater vehicles: A ROS-Gazebo framework
Bayesian Optimisation with Formal Guarantees
PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors
Enhancement of a Novel Method for Mutational Disease Prediction using Bioinformatics Techniques and Backpropagation Algorithm
Closed Form HJB Solution for Continuous-Time Optimal Control of a Non-Linear Input-Affine System
Application of the Second-Order Statistics for Estimation of the Pure Spectra of Individual Components from the Visible Hyperspectral Images of Their Mixture
Training Deep 3D Convolutional Neural Networks to Extract BSM Physics Parameters Directly from HEP Data: a Proof-of-Concept Study Using Monte Carlo Simulations
Service-Oriented Architecture for Space Exploration Robotic Rover Systems
Signature Region of Interest using Auto cropping
Turchin's Relation for Call-by-Name Computations: A Formal Approach
Hi-GMAE: Hierarchical Graph Masked Autoencoders
Aloe: A Family of Fine-tuned Open Healthcare LLMs
ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
GamiBench: Evaluating Spatial Reasoning and 2D-to-3D Planning Capabilities of MLLMs with Origami Folding Tasks
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
Implicit Maximum Likelihood Estimation
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation
SEDAC: A CVAE-Based Data Augmentation Method for Security Bug Report Identification
A global analysis of global optimisation
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?
ASP: Automatic Selection of Proxy dataset for efficient AutoML
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
An Efficient Quadratic Interpolation Scheme for a Third-Order Cell-Centered Finite-Volume Method on Tetrahedral Grids
Enhanced blind decoding of Tardos codes with new map-based functions
A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection
Network Connectivity: Stochastic vs. Deterministic Wireless Channels
Generate Descriptive Social Networks for Large Populations from Available Observations: A Novel Methodology and a Generator
Parallelized Proximity-Based Query Processing Methods for Road Networks
On Grid Graph Reachability and Puzzle Games
Homomorphic Encryption: Theory & Applications
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
A Modular Haptic Display with Reconfigurable Signals for Personalized Information Transfer
What Can One Expect When Solving PDEs Using Shallow Neural Networks?
Compressibility-Aware Quantum Algorithms on Strings
Non-Driving-Related Tasks Influencing Drivers' Takeover Time: A Meta-Analysis
Neural Relation Prediction for Simple Question Answering over Knowledge Graph
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Improving Local Search for Fuzzy Scheduling Problems
Designing a Secure, Scalable, and Cost-Effective Cloud Storage Solution: A Novel Approach to Data Management using NextCloud, TrueNAS, and QEMU/KVM
Rack Position Optimization in Large-Scale Heterogeneous Data Centers
Learning From Limited Data and Feedback for Cell Culture Process Monitoring: A Comparative Study
An analysis of HOI: using a training-free method with multimodal visual foundation models when only the test set is available, without the training set
Balancing truncation and round-off errors in practical FEM: one-dimensional analysis
Geometric definition of a new skeletonization concept
Sexing Caucasian 2D footprints using convolutional neural networks
U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation
A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models
Column Vocabulary Association (CVA): semantic interpretation of dataless tables
Learning Open Domain Multi-hop Search Using Reinforcement Learning
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Trip-based mobile sensor deployment for drive-by sensing with bus fleets
Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network
A Mean Field Approach for Optimization in Particles Systems and Applications
MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detection
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement
Testing Optimality of Sequential Decision-Making
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
Corpus Frequencies in Morphological Inflection: Do They Matter?
Minimum Error Rate Training and the Convex Hull Semiring
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
Entropy and thinning of discrete random variables
Narses: A Scalable Flow-Based Network Simulator
Joint Transceiver Design for Noisy-Sensing Decision-Fusion Networks through Block Coordinate Descent Optimization
Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software
On the Relation Between the Index Coding and the Network Coding Problems
Connecting Data Science and Qualitative Interview Insights through Sentiment Analysis to Assess Migrants' Emotion States Post-Settlement
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge
Strong Bisimulation for Control Operators
Domain Generalization by Functional Regression
Advancing AI Audits for Enhanced AI Governance
Learning Visual Affordance Grounding from Demonstration Videos
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Robustness and sample complexity of model-based MARL for general-sum Markov games
Bloggers Behavior and Emergent Communities in Blog Space
A Brief Discussion on the Philosophical Principles and Development Directions of Data Circulation
PAM: Parallel Augmented Maps
ACCIO: Table Understanding Enhanced via Contrastive Learning with Aggregations
Towards Optimal Orders for Entanglement Swapping in Path Graphs: A Greedy Approach
Structural analysis of an all-purpose question answering model
Explaining Away Syntactic Structure in Semantic Document Representations
LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention
Social Hatred: Efficient Multimodal Detection of Hatemongers
DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset
kLog: A Language for Logical and Relational Learning with Kernels
Application Layer Cyber Deception without Developer Interaction
EVQAScore: Efficient Video Question Answering Data Evaluation
Problems and Consequences of Bilateral Notions of (Meta-)Derivability
Performance of Data Augmentation Methods for Brazilian Portuguese Text Classification
OneThinker: All-in-one Reasoning Model for Image and Video
Kilometer-Scale GNSS-Denied UAV Navigation via Heightmap Gradients: A Winning System from the SPRIN-D Challenge
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification
Dynamic Backward Slicing of Rewriting Logic Computations
A Tripartite Perspective on GraphRAG
Predicting the Order of Upcoming Tokens Improves Language Modeling
Overall Evaluations on Benefits of Influence When Disturbed by Rivals
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Towards Graph Foundation Models: A Survey and Beyond
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach
Finite Horizon Reinforcement Learning in Solving Optimal Control of State-Dependent Switched Systems
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks
High order asymptotic preserving well-balanced finite difference WENO schemes for all Mach full Euler equations with gravity
Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules
The AI Data Scientist
A Close Look at Spatial Modeling: From Attention to Convolution
Enhancing Fruit and Vegetable Detection in Unconstrained Environment with a Novel Dataset
A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs
Few-Shot Learning with Class Imbalance
The Right Kind of Help: Evaluating the Effectiveness of Intervention Methods in Elementary-Level Visual Programming
Testing Message-Passing Concurrency
Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning
Open-source tool for Airway Segmentation in Computed Tomography using 2.5D Modified EfficientDet: Contribution to the ATM22 Challenge
Nearly Linear-Time Approximation Schemes for Mixed Packing/Covering and Facility-Location Linear Programs
Single-Snapshot Gridless 2D-DoA Estimation for UCAs: A Joint Optimization Approach
Relative Performance of a Multi-level Cache with Last-Level Cache Replacement: An Analytic Review
Pathways: Augmenting interoperability across scholarly repositories
Bag of Freebies for Training Object Detection Neural Networks
Comparison of Shape Derivatives using CutFEM for Ill-posed Bernoulli Free Boundary Problem
SPADA: A Spatial Dataflow Architecture Programming Language
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means
Intuitionistic Logic Programming for SQL (Extended Abstract)
Differential privacy for counting queries: can Bayes estimation help uncover the true value?
Constraining Temporal Relationship for Action Localization
On grounded L-graphs and their relatives
Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
Microsoft Academic Graph Information Retrieval for Research Recommendation and Assistance
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
A Bivariate Spline based Collocation Method for Numerical Solution to Optimal Transport Problem
Improving callsign recognition with air-surveillance data in air-traffic communication
UvA-MT's Participation in the WMT23 General Translation Shared Task
GEN Model: An Alternative Approach to Deep Neural Network Models
Signaling equilibria in mean-field games
Decentralized Knowledge and Learning in Strategic Multi-user Communication
Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem
SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization
CryptoEmu: An Instruction Set Emulator for Computation Over Ciphers
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors
A Token-FCM based risk assessment method for complex engineering designs
Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures
UniHeap: Managing Persistent Objects Across Managed Runtimes for Non-Volatile Memory
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information
Orthogonal Representations for Output System Pairs
Enhancing Visual Reasoning with Autonomous Imagination in Multimodal Large Language Models
Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation
CASICT Tibetan Word Segmentation System for MLWS2017
Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks
Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise
GCRPNet: Graph-Enhanced Contextual and Regional Perception Network For Salient Object Detection in Optical Remote Sensing Images
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications
kFW: A Frank-Wolfe style algorithm with stronger subproblem oracles
Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory
Cloud Security and Security Challenges Revisited
EEE, Remediating the failure of machine learning models via a network-based optimization patch
Back-Translation-Style Data Augmentation for End-to-End ASR
Predicting User Engagement in Twitter with Collaborative Ranking
A Wireless Multimedia Sensor Network Platform for Environmental Event Detection Dedicated to Precision Agriculture
Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
A Survey on Agentic Service Ecosystems: Measurement, Analysis, and Optimization
Multi-feature combined cloud and cloud shadow detection in GF-1 WFV imagery
Reinforcement Learning to Rank with Coarse-grained Labels
Generalized Sampling Expansions Associated with Quaternion Fourier Transform
Enhancing Vehicle Aerodynamics with Deep Reinforcement Learning in Voxelised Models
k-core (bootstrap) percolation on complex networks: Critical phenomena and nonlocal effects
Curriculum-Based Iterative Self-Play for Scalable Multi-Drone Racing
ChatGPTest: opportunities and cautionary tales of utilizing AI for questionnaire pretesting
Identify Critical Branches with Cascading Failure Chain Statistics and Hypertext-Induced Topic Search Algorithm
CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition
DCHM: Depth-Consistent Human Modeling for Multiview Detection
On the convergence of the Stochastic Heavy Ball Method
Magnetorheological Axisymmetric Actuator with Permanent Magnet
A Benchmarking Study on Vision-Based Grasp Synthesis Algorithms
Benford's law: what does it say on adversarial images?
Dynamical approximation and sensor placement for filtering problems
NoPE: The Counting Power of Transformers with No Positional Encodings
An Active Flux method for the Euler equations based on the exact acoustic evolution operator
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
Components Loss for Neural Networks in Mask-Based Speech Enhancement
Motivating the Contributions: An Open Innovation Perspective on What to Share as Open Source Software
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis
Quasitubal Tensor Algebra Over Separable Hilbert Spaces
PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning
DreamPrinting: Volumetric Printing Primitives for High-Fidelity 3D Printing
Towards causally linking architectural parametrizations to algorithmic bias in neural networks
MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering
Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control
Deep Learning based Vulnerability Detection: Are We There Yet?
Transferable Fairness for Cold-Start Recommendation
k-Connectivity in Secure Wireless Sensor Networks with Physical Link Constraints - The On/Off Channel Model
Understanding Citizen Reactions and Ebola-Related Information Propagation on Social Media
Sufficient Exploration for Convex Q-learning
HIRL: A General Framework for Hierarchical Image Representation Learning
Path Planning using Instruction-Guided Probabilistic Roadmaps
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation
The Parameterized Hardness of the Art Gallery Problem
Wi-Fi Scaling and Performance in Dense Frequency Planned Networks
Neural Network Retraining for Model Serving
Fast assembly of Galerkin matrices for 3D solid laminated composites using finite element and isogeometric discretizations
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials
Semantic programming: method Δ 0 p -enrichments and polynomial computable fixed points
S2Doc - Spatial-Semantic Document Format
CaFe-TeleVision: A Coarse-to-Fine Teleoperation System with Immersive Situated Visualization for Enhanced Ergonomics
AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
Constructing a Traditional Chinese Medicine Data Warehouse Application
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
Evaluating how LLM annotations represent diverse views on contentious topics
C-Wars: The Unfolding Argument Strikes Back - A Reply to 'Falsification & Consciousness'
Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
NLP Verification: Towards a General Methodology for Certifying Robustness
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation
On the convergence of computational methods for the online bin stretching problem
Vision Meets Drones: A Challenge
Generalization Across Observation Shifts in Reinforcement Learning
Interpretable Models via Pairwise permutations algorithm
Discovering Signals from Web Sources to Predict Cyber Attacks
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
Did Evolution get it right? An evaluation of Near-Infrared imaging in semantic scene segmentation using deep learning
R$^3$SGM: Real-time Raster-Respecting Semi-Global Matching for Power-Constrained Systems
Online Robust Principal Component Analysis with Change Point Detection
Performance Analysis for Deterministic System using Time Sensitive Network
Computing distances and means on manifolds with a metric-constrained Eikonal approach