yusuke1997/dblp-id-title huggingface dataset:
UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning
New Computational Upper Bounds for Ramsey Numbers R(3,k)
The Key Elements of Viral Advertising. From Motivation to Emotion in the Most Shared Videos
Implicit Neural Multiple Description for DNA-based data storage
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
Knowledge Federation: Hierarchy and Unification
Explainability in CNN Models By Means of Z-Scores
Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier
Perspectives on Unsolvability in Roommates Markets
Learning local regularization for variational image restoration
Persian Wordnet Construction using Supervised Learning
Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation
Matrix multiplication via matrix groups
Towards an unsupervised large-scale 2D and 3D building mapping with LiDAR
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
FDBB: Fluid Dynamics Building Blocks
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs with infinite activity
Topological Signatures vs. Gradient Histograms: A Comparative Study for Medical Image Classification
A Review of Carsickness Mitigation: Navigating Challenges and Exploiting Opportunities in the Era of Intelligent Vehicles
A finite-strain hyperviscoplastic model and undrained triaxial tests of peat
Preconditioners based on Voronoi quantizers of random variable coefficients for stochastic elliptic partial differential equations
Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data
Geometric tree kernels: Classification of COPD from airway tree geometry
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding
A Decision Support System for Public Research Organizations Participating in National Research Assessment Exercises
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks
On Projection Based Operators in Lp space for Exact Similarity Search
ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Automatic Verification of Correspondences for Security Protocols
Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities
Quaternary linear codes and related binary subfield codes
Burstiness and tie reinforcement in time varying social networks
An Evaluation Framework for the FAIR Assessment tools in Open Science
The "cardinality of extended solution set" criterion for establishing the intractability of NP problems
Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
Deep MDP: A Modular Framework for Multi-Object Tracking
A Corrective Frequency-Constrained Unit Commitment with Data-driven Estimation of Optimal UFLS in Island Power Systems
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction
Generalized Spatially-Coupled Product-Like Codes Using Zipper Codes With Irregular Degree
Implicit Multiple Tensor Decomposition
Convergence of weak-SINDy Surrogate Models
Partition of unity networks: deep hp-approximation
Extended Local Convergence for Seventh order method with ψ-continuity condition in Banach Spaces
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation
ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing
Linear average-case complexity of algorithmic problems in groups
Lazy Lagrangians with Predictions for Online Learning
Attack on a classical analogue of the Dunjko, Wallden, Kent and Andersson quantum digital signature protocol
RealisVSR: Detail-enhanced Diffusion for Real-World 4K Video Super-Resolution
2-Layer k-Planar Graphs: Density, Crossing Lemma, Relationships, and Pathwidth
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills
Leveraging Topological Maps in Deep Reinforcement Learning for Multi-Object Navigation
Asymptotically proved numerical coupling of a 2D flexural porous plate with the 3D Stokes fluid
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
rNCA: Self-Repairing Segmentation Masks
Numerical Simulations for Fractional Differential Equations of Higher Order and a Wright-Type Transformation
Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigms
Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget
Polycyclic Codes Associated with Trinomials: Good Codes and Open Questions
DINOv3 with Test-Time Training for Medical Image Registration
Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
High-performance Evolutionary Algorithms for Online Neuron Control
Do oral messages help visual search?
Linear Anchored Gaussian Mixture Model for Location and Width Computation of Objects in Thick Line Shape
KPRNet: Improving projection-based LiDAR semantic segmentation
Why Do Men Get More Attention? Exploring Factors Behind Success in an Online Design Community
ResLT: Residual Learning for Long-tailed Recognition
Improved bounds on the size of permutation codes under Kendall τ-metric
Evaluating Social Acceptance of eXtended Reality (XR) Agent Technology: A User Study (Extended Version)
One-bit massive MIMO precoding via a minimum symbol-error probability design
On Study of the Binarized Deep Neural Network for Image Classification
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
Test Code Refactoring Unveiled: Where and How Does It Affect Test Code Quality and Effectiveness?
TopicImpact: Improving Customer Feedback Analysis with Opinion Units for Topic Modeling and Star-Rating Prediction
A method for object detection based on pixel intensity comparisons
Comment on "Conditional Decoupling of Quantum Information"
Fast calculation of entropy with Zhang's estimator
Hybrid leg compliance enables robots to operate with sensorimotor delays and low control update frequencies
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
ExSched: Solving Constraint Satisfaction Problems with the Spreadsheet Paradigm
Learning About Simulated Adversaries from Human Defenders using Interactive Cyber-Defense Games
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels
Field typing for improved recognition on heterogeneous handwritten forms
Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale
Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems
An Enhanced Federated Prototype Learning Method under Domain Shift
An electronic digital combination lock: A precise and reliable security system
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models
Diversity-aware social robots meet people: beyond context-aware embodied AI
LED there be DoS: Exploiting variable bitrate IP cameras for network DoS
A framework for causal segmentation analysis with machine learning in large-scale digital experiments
Educational Tools for Mapuzugun
Design, Modeling and Control of a Quadruped Robot SPIDAR: Spherically Vectorable and Distributed Rotors Assisted Air-Ground Amphibious Quadruped Robot
eJournal interface can influence usage statistics: implications for libraries, publishers, and Project COUNTER
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction
Large deviations of the interference in the Ginibre network model
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning
ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models
The Quartic Public Key Transformation
Uncertainty estimation in spatial interpolation of satellite precipitation with ensemble learning
The study of distributed computing algorithms by multithread applications
Youth WellTech: A Global Remote Co-Design Sprint for Youth Mental Health Technology
Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
Ant Colony Optimization and Hypergraph Covering Problems
Optimal dynamic mechanisms with ex-post IR via bank accounts
Online Inference for Advertising Auctions
Subjective Logic Operators in Trust Assessment: an Empirical Study
Geometry of the Hough transforms with applications to synthetic data
Distributed bilayered control for transient frequency safety and system stability in power grids
Free inverse monoids are co-context-free
The Reactive Synthesis Competition: SYNTCOMP 2016 and Beyond
TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation
An evaluation framework for dimensionality reduction through sectional curvature
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation
Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine: A Metric Temporal Logic Approach
Correcting Two Deletions and Insertions in Racetrack Memory
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
Linear Probe Penalties Reduce LLM Sycophancy
Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
Tensor train completion: local recovery guarantees via Riemannian optimization
Scalable Multi-robot Motion Planning for Congested Environments Using Topological Guidance
Adjustable Low-Cost Highly Sensitive Microwave Oscillator Sensor for Liquid Level Detection
Fast and accurate determination of modularity and its effect size
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
Capturing Bisimulation-Invariant Exponential-Time Complexity Classes
Quantified CTL: Expressiveness and Complexity
Towards Turkish ASR: Anatomy of a rule-based Turkish g2p
GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data
Minimizing Impurity Partition Under Constraints
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints
Tournament selection in zeroth-level classifier systems based on average reward reinforcement learning
Evolutionary Algorithms for Designing Reversible Cellular Automata
Thinking Out Loud and e-Health for Coordinated Care Lessons from User Requirements Gathering in the 4C Project
CONFIGURE: An Optimisation Framework for the Cost-Effective Spatial Configuration of Blue-Green Infrastructure
AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI
BrickPal: Augmented Reality-based Assembly Instructions for Brick Models
The Road to Compliance: Executive Federal Agencies and the NIST Risk Management Framework
What My Motion tells me about Your Pose: Self-Supervised Fine-Tuning of Observed Vehicle Orientation Angle
Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network
How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems
Using Programmable Drone in Educational Projects and Competitions
A Deep Double Ritz Method (D 2 RM) for solving Partial Differential Equations using Neural Networks
RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization
Neural Termination Analysis
Information Hiding Using Matroid Theory
An Exponential Averaging Process with Strong Convergence Properties
A model project for reproducible papers: critical temperature for the Ising model on a square lattice
On Locality-Sensitive Orderings and their Applications
Graph-Based Algorithm for a User-Aware SaaS Approach: Computing Optimal Distribution
SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering Tasks
Quantum(-like) common knowledge: Binmore-Brandenburger operator approach
Full and Fractional Counting in Bibliometric Networks
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
Greedy k-Center from Noisy Distance Samples
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis
MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation
Distributed Detection over Noisy Networks: Large Deviations Analysis
Predicting Energy Consumption of Ground Robots On Uneven Terrains
Load Forecasting Model and Day-ahead Operation Strategy for City-located EV Quick Charge Stations
Non-linear Dimensionality Regularizer for Solving Inverse Problems
Using Neural Networks by Modelling Semi-Active Shock Absorber
A replay-attack resistant message authentication scheme using time-based keying hash functions and unique message identifiers
Improving the Projection of Global Structures in Data through Spanning Trees
Mitigating Dataset Bias by Using Per-sample Gradient
Reinforcement Learning based Recommender System using Biclustering Technique
Distributed Algorithms for Consensus and Coordination in the Presence of Packet-Dropping Communication Links - Part I: Statistical Moments Analysis Approach
Did somebody say "Gest-IT"? A pilot exploration of multimodal data management
3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations
On the convergence of second-order in time numerical discretizations for the evolution Navier-Stokes equations
An ExpTime Procedure for Description Logic ALCQI (Draft)
Tailored Quantum Device Calibration with Statistical Model Checking
Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels
R-PMAC: A Robust Preamble Based MAC Mechanism Applied in Industrial Internet of Things
Matlab Implementation of Machine Vision Algorithm on Ballast Degradation Evaluation
SPELL: Semantic Prompt Evolution based on a LLM
Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing
Is Japanese gendered language used on Twitter ? A large scale study
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
LLM-ABBA: Understanding time series via symbolic approximation
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Abmax: A JAX-based Agent-based Modeling Framework
Analysis of Network Lasso For Semi-Supervised Regression
The Augmentation Property of Binary Matrices for the Binary and Boolean Rank
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems
On the required number of electrodes for uniqueness and convex reformulation in an inverse coefficient problem
QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks
Finding Model-Checkable Needles in Large Source Code Haystacks: Modular Bug-Finding via Static Analysis and Dynamic Invariant Discovery
Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX
Spacetime Graph Optimization for Video Object Segmentation
The algorithmic muse and the public domain: Why copyrights legal philosophy precludes protection for generative AI outputs
Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids
Facial Expression Recognition with YOLOv11 and YOLOv12: A Comparative Study
Gaussian process surrogate models for neural networks
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution
Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity
Semi-supervised Contrastive Learning with Similarity Co-calibration
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
Minimization of Sensor Activation in Discrete-Event Systems with Control Delays and Observation Delays
Multi-level Weighted Additive Spanners
Automatic Claim Review for Climate Science via Explanation Generation
Strategic Contract Negotiation in Financial Networks
A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction
On Need for Topology Awareness of Generative Models
Conductance and Social Capital: Modeling and Empirically Measuring Online Social Influence
LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding Augmentation
A Stochastic Framework for Continuous-Time State Estimation of Continuum Robots
Public Perception of AI: Sentiment and Opportunity
Solution Concepts in A-Loss Recall Games: Existence and Computational Complexity
Experimental and Theoretical Investigations of a Ground Source Heat Pump System for Water and Space Heating Applications in Kazakhstan
Exploiting Inter-Sample Correlation and Intra-Sample Redundancy for Partially Relevant Video Retrieval
Adaptive sampling of time-space signals in a reproducing kernel subspace of mixed Lebesgue space
Microgrid Optimal Energy Scheduling with Risk Analysis
Deep learning-based deconvolution for interferometric radio transient reconstruction
A General Formulation for Evaluating the Performance of Linear Power Flow Models
Advancing Adversarial Robustness Through Adversarial Logit Update
Look to Locate: Vision-Based Multisensory Navigation with 3-D Digital Maps for GNSS-Challenged Environments
Hierarchical Location Service with Prediction in Mobile Ad-Hoc Networks
White-Box Evaluation of Fingerprint Recognition Systems
Demand Side Management in Smart Grids using a Repeated Game Framework
Investigating the linear structure of Boolean functions based on Simon's period-finding quantum algorithm
Zero Cost Improvements for General Object Detection Network
Sensing Matrix Setting Schemes for Cognitive Networks and Their Performance Analysis
Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models
Automated Cyber Defence: A Review
Reliability improvement with PSP of Web-based software application
Fast and Interactive Byzantine Fault-tolerant Web Services via Session-Based Consensus Decoupling
Measuring the Runtime Performance of Code Produced with GitHub Copilot
Using word embeddings to improve the discriminability of co-occurrence text networks
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC
Dynamic Complexity of Parity Games with Bounded Tree-Width
High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
RFID Localisation For Internet Of Things Smart Homes: A Survey
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
AquaIntellect: A Semantic Self-learning Framework for Underwater Internet of Things Connectivity
Predicting Global Variations in Outdoor PM2.5 Concentrations using Satellite Images and Deep Convolutional Neural Networks
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
PMEvo: Portable Inference of Port Mappings for Out-of-Order Processors by Evolutionary Optimization
Empirical Review of Automated Analysis Tools on 47, 587 Ethereum Smart Contracts
SoilX: Calibration-Free Comprehensive Soil Sensing Through Contrastive Cross-Component Learning
The Scharfetter-Gummel scheme for aggregation-diffusion equations
Releasing Malevolence from Benevolence: The Menace of Benign Data on Machine Unlearning
Can I Pet Your Robot? Incorporating Capacitive Touch Sensing into a Soft Socially Assistive Robot Platform
TOMAAT: volumetric medical image analysis as a cloud service
Head-related Impulse Response-based Spatial Auditory Brain-computer Interface
Towards Multi-pose Guided Virtual Try-on Network
An alternative use of the NetLogo modeling environment, where the student thinks and acts like an Agent, in order to teach concepts of Ecology
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints
Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift
Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset
Deep Learning Methods for Efficient Large Scale Video Labeling
The Imperfect Learner: Incorporating Developmental Trajectories in Memory-based Student Simulation
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Characterizing the Weight Space for Different Learning Models
A Trust Based Fuzzy Algorithm for Congestion Control in Wireless Multimedia Sensor Networks (TFCC)
Execution Models for Choreographies and Cryptoprotocols
Global Scheduling of Weakly-Hard Real-Time Tasks using Job-Level Priority Classes
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
ExpTrialMng: A Universal Experiment Trial Manager for AR/VR/MR Experiments based on Unity
Uncertainty-Guided Optimization on Large Language Model Search Trees
Survey of ETA prediction methods in public transport networks
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior
A numerical scheme for filter boundary conditions in topology optimization on regular and irregular meshes
Scenior: An Immersive Visual Scripting system of Gamified Training based on VR Software Design Patterns
When Large Vision-Language Models Meet Person Re-Identification
LitSumm: Large language models for literature summarisation of non-coding RNAs
Cooperation driven by success-driven group formation
Network-based methods for outcome prediction in the "sample space"
Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity
The Information Flow and Capacity of Channels with Noisy Feedback
Towards Interpretable Deep Generative Models via Causal Representation Learning
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers
Monocular Vision-based Vehicle Localization Aided by Fine-grained Classification
Model reduction by least squares moment matching for linear and nonlinear systems
RoboDriveVLM: A Novel Benchmark and Baseline towards Robust Vision-Language Models for Autonomous Driving
Tuna: A Static Analysis Approach to Optimizing Deep Neural Networks
Event-triggered control and communication for single-master multi-slave teleoperation systems with Try-Once-Discard protocol
Content Based Document Recommender using Deep Learning
Stabilizing discontinuous Galerkin methods using Dafermos' entropy rate criterion
Trust enhancement by multiple random beacons
Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery
Implementation of a Wiener Chaos Expansion Method for the Numerical Solution of the Stochastic Generalized Kuramoto-Sivashinsky Equation driven by Brownian motion forcing
FLAP: Fast Language-Audio Pre-training
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Mapping Scrambled Korean Sentences into English Using Synchronous TAGs
Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data
Adaptive prediction theory combining offline and online learning
Fast k-means based on KNN Graph