yusuke1997/dblp-id-title huggingface dataset:
"Because Some Sighted People, They Don't Know What the Heck You're Talking About: " A Study of Blind TikTokers' Infrastructuring Work to Build Independence
Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
Resilience for Multigrid Software at the Extreme Scale
On the group-theoretic structure of lifted filter banks
DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge
Dynamics of social contagions with heterogeneous adoption thresholds: Crossover phenomena in phase transition
Measuring and Harnessing Transference in Multi-Task Learning
Audio-guided Album Cover Art Generation with Genetic Algorithms
Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments
ReinforceBug: A Framework to Generate Adversarial Textual Examples
BiRP: Learning Robot Generalized Bimanual Coordination using Relative Parameterization Method on Human Demonstration
A unified construction of all-speed HLL-type schemes for hypersonic heating computations
Industrial Machines Health Prognosis using a Transformer-based Framework
Secure and Efficient Two-party Quantum Scalar Product Protocol With Application to Privacy-preserving Matrix Multiplication
Connectivity in Sub-Poisson Networks
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
EKF-Based Radar-Inertial Odometry with Online Temporal Calibration
Image Compression with Recurrent Neural Network and Generalized Divisive Normalization
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
On the Performance of Channel Statistics-Based Codebook for Massive MIMO
Large Language Models in the IoT Ecosystem - A Survey on Security Challenges and Applications
Deep Neural Networks and End-to-End Learning for Audio Compression
Data-Driven Abstractions for Control Systems
Machine learning dynamics of phase separation in correlated electron magnets
How Ready Is DNS for an IPv6-Only World?
Phase-mismatched STAR-RIS with FAS-assisted RSMA Users
Scalable and Interpretable Marked Point Processes
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains
Discussion of "Design of Controllers with Arbitrary Convergence Time" (Automatica 112 (2020) 108710)
Toward Standardized Performance Evaluation of Flow-guided Nanoscale Localization
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
A Line Graph-Based Framework for Identifying Optimal Routing Paths in Decentralized Exchanges
Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand
Exploiting Delay Correlation for Multi-Antenna-Assisted High Speed Train Communications
Plug the Leaks: Advancing Audio-driven Talking Face Generation by Preventing Unintended Information Flow
SurFree: a fast surrogate-free black-box attack
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
Comparison of Different Control Theories on a Two Wheeled Self Balancing Robot
Two Decreasing Measures for Simply Typed Lambda-Terms (Extended Version)
Visual Language Model as a Judge for Object Detection in Industrial Diagrams
The generation and regulation of public opinion on multiplex social networks
Quantum deep reinforcement learning for humanoid robot navigation task
On measuring team stability in cooperative learning: An example of consecutive course projects on software engineering
A Centralized Optimization Approach for Bidirectional PEV Impacts Analysis in a Commercial Building-Integrated Microgrid
Comprehensive measurement framework for enterprise architectures
Alternative Metrics
A Simple Abstraction for Data Modeling
Encoding Matching Criteria for Cross-domain Deformable Image Registration
D2D-Aided Multi-Antenna Multicasting under Generalized CSIT
How To Overcome Richness Axiom Fallacy
Discovering Communities of Community Discovery
NP vs PSPACE
Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
Scale-up Unlearnable Examples Learning with High-Performance Computing
Can models for long-term decarbonization policies guarantee security of power supply? A perspective from gas and power sector coupling
Irregular Convolutional Auto-Encoder on Point Clouds
Perception-Distortion Trade-off with Restricted Boltzmann Machines
DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation
Graphs with Integer Matching Polynomial Roots
Ultra-Reliable Low Latency Communication (URLLC) using Interface Diversity
Crowd Behavior Simulation with Emotional Contagion in Unexpected Multi-hazard Situations
Orthogonal Cocktail BPSK: Exceeding Shannon Capacity of QPSK Input
CodePrompt: Improving Source Code-Related Classification with Knowledge Features through Prompt Learning
Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization
Datarus-R1: An Adaptive Multi-Step Reasoning LLM for Automated Data Analysis
Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
Advanced XR-Based 6-DOF Catheter Tracking System for Immersive Cardiac Intervention Training
A New Method for Estimating the Widths of JPEG Images
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property
Study of scaling laws in language families
BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
Energy-Efficient Antenna Selection and Power Allocation for Large-Scale Multiple Antenna Systems with Hybrid Energy Supply
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval
Group-invariant max filtering
Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions
Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces
Object-oriented solutions
Entropy based Nearest Neighbor Search in High Dimensions
Enhancing Glucose Level Prediction of ICU Patients through Irregular Time-Series Analysis and Integrated Representation
Decentralized Traffic Flow Optimization Through Intrinsic Motivation
Decoupling Identity from Access: Credential Broker Patterns for Secure CI/CD
Assessing The Importance Of Colours For CNNs In Object Recognition
Identifying Solution Constraints for ODE Systems
Backdrop: Stochastic Backpropagation
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
On the Capacity of the Peak Limited and Band Limited Channel
Online Analysis of Distributed Dataflows with Timely Dataflow
Human Motion Capture Data Compression based on Learned Spatial Transform
Evolutionary Dynamics of Cultural Memes and Application to Massive Movie Data
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing
The Hidden Power of Pure 16-bit Floating-Point Neural Networks
N-norm and N-conorm in Neutrosophic Logic and Set, and the Neutrosophic Topologies
The Role of the Retrospective Meetings in Detecting, Refactoring and Monitoring Community Smells
Interactive Imitation Learning in Robotics based on Simulations
Strategyproof Pareto-Stable Mechanisms for Two-Sided Matching with Indifferences
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection
A Reality check of the benefits of LLM in business
Foundation Models in Medical Imaging - A Review and Outlook
CryoHype: Reconstructing a thousand cryo-EM structures with transformer-based hypernetworks
Generalizing Medical Image Representations via Quaternion Wavelet Networks
On the Complexity of the K-way Vertex Cut Problem
Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
AffectMachine-Pop: A controllable expert system for real-time pop music generation
Dense Crowd Flow-Informed Path Planning
Stability of variable-step BDF2 and BDF3 methods
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension
Study of MRI-compatible Notched Plastic Ultrasonic Stator with FEM Simulation and Holography Validation
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
Silhouette-Guided Instance-Weighted k-means
How and where does CLIP process negation?
Knowledge-Guided Machine Learning Models to Upscale Evapotranspiration in the U.S. Midwest
On-The-Fly Secure Key Generation with Deterministic Models
Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions
Network Coding Security: Attacks and Countermeasures
Learning functions across many orders of magnitudes
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
Cycle-to-Cycle Queue Length Estimation from Connected Vehicles with Filtering on Primary Parameters
Homomorphism Preservation on Quasi-Wide Classes
Markov Chains of Evolutionary Games with a Small Number of Players
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
Automatic symbolic computation for discontinuous Galerkin finite element methods
Prediction of Component Shifts in Pick and Place Process of Surface Mount Technology Using Support Vector Regression
AI Agent Access (A 3 ) Network: An Embodied, Communication-Aware Multi-Agent Framework for 6G Coverage
A CryptoCubic Protocol for Hacker-Proof Off-Chain Bitcoin Transactions
A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
Initiation of waves in BZ encapsulated vesicles using light - towards design of computing architectures
Biology-informed neural networks learn nonlinear representations from omics data to improve genomic prediction and interpretability
BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses
Structure and Optimization of Parameters for Neural Network Controllers in Automatic Control Systems
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts
Linguistic-style-aware Neural Networks for Fake News Detection
EOLANG and phi-calculus
DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation
Review Based Entity Ranking using Fuzzy Logic Algorithmic Approach: Analysis
Comprehensive Performance Analysis of Homomorphic Cryptosystems for Practical Data Processing
LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance
A Reflection on the Organic Growth of the Internet Protocol Stack
Recurrent neural network training with preconditioned stochastic gradient descent
Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators
Langevin Monte Carlo without Smoothness
Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
Data-Driven EV Charging Load Profile Estimation and Typical EV Daily Load Dataset Generation
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
Distributed Estimation in the Presence of Strategic Data Sources
GRB: Greedy Routing Protocol with Backtracking for Mobile Ad Hoc Network (Extended Version)
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
LLM-powered Data Augmentation for Enhanced Crosslingual Performance
Super-Resolution Radar
Psycho-linguistic differences among competing vaccination communities on social media
AuthPrint: Fingerprinting Generative Models Against Malicious Model Providers
How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?
Fountain Code-Inspired Channel Estimation for Multi-user Millimeter Wave MIMO Systems
LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance
Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation
Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty
On the Linear Algebraic Structure of Distributed Word Representations
Deterministic 3-Coloring of Trees in the Sublinear MPC model
Wound3DAssist: A Practical Framework for 3D Wound Assessment
Robust Facial Expression Classification Using Shape and Appearance Features
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems
Model for synchronizer of marked pairs in fork-join network
Parallelization in Scientific Workflow Management Systems
A Graph Theoretic Characterization of Perfect Attackability and Detection in Distributed Control Systems
Towards Formalizing HRI Data Collection Processes
A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms
On the Error Performance of Systematic Polar Codes
Partitioning a Planar Graph into two Triangle-Forests
Novel Saliency Analysis for the Forward Forward Algorithm
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
Negation-as-Failure in the Base-extension Semantics for Intuitionistic Propositional Logic
δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains
Construction of Const Dimension Codes from Serval Parallel Lift MRD Code
Enough is Enough: Towards Autonomous Uncertainty-driven Stopping Criteria
Automated Program Repair: Emerging trends pose and expose problems for benchmarks
Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification
RHINO: Regularizing the Hash-based Implicit Neural Representation
An Introduction to the Clocked Lambda Calculus
Enhancing Decentralization in Blockchain Decision-Making Through Quadratic Voting and Its Generalization
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
A Reduced-Order Resistive Force Model for Robotic Foot-Mud Interactions
Why Machine Learning Integrated Patient Flow Simulation?
Contributions à l'asservissement visuel et à l'imagerie en médecine
Nonconvergent Electoral Equilibria under Scoring Rules: Beyond Plurality
Social-Topical Affiliations: The Interplay between Structure and Popularity
Local Reweighting for Adversarial Training
Coverage Analysis of Heterogeneous Cellular Networks in Urban Areas
Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish
Differentially Private High-dimensional Variable Selection via Integer Programming
Exponential integrators for mean-field selective optimal control problems
Medication non adherence: finding solutions through design thinking approach
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows
Path Guiding for Wavefront Path Tracing: A Memory Efficient Approach for GPU Path Tracers
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
Data-Injection Attacks in Stochastic Control Systems: Detectability and Performance Tradeoffs
Improving Physical Layer Security for Reconfigurable Intelligent Surface aided NOMA 6G Networks
A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration
Parameterized complexity in multiple-interval graphs: domination, partition, separation, irredundancy
Information Shapes Koopman Representation
Space-time coding techniques with bit-interleaved coded modulations for MIMO block-fading channels
ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Picture Collage with Genetic Algorithm and Stereo vision
An efficient two-grid fourth-order compact difference scheme with variable-step BDF2 method for the semilinear parabolic equation
Adapting Definition Modeling for New Languages: A Case Study on Belarusian
Py-DiSMech: A Scalable and Efficient Framework for Discrete Differential Geometry-Based Modeling and Control of Soft Robots
TraceSim: A Method for Calculating Stack Trace Similarity
SACn: Soft Actor-Critic with n-step Returns
The Battling Influencers Game: Nash Equilibria Structure of a Potential Game and Implications to Value Alignment
The eel-like robot
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging
Modelling Interrelations Between Agile Practices: The Agile Map
A Discontinuous Neural Network for Non-Negative Sparse Approximation
Two Types of Social Grooming discovered in Primitive and Modern Communication Data-Sets
Fine-Tuning Large Language Models with User-Level Differential Privacy
Greedy randomized block Kaczmarz method for matrix equation AXB=C and its applications in color image restoration
Selecting Fault Revealing Mutants
Evidence-Based Automated Program Fixing
Student Engagement in AI Assisted Complex Problem Solving: A Pilot Study of Human AI Rubik's Cube Collaboration
Stability Analysis for a Class of Sparse Optimization Problems
Stable Offline Hand-Eye Calibration for any Robot with Just One Mark
Odd and Even Harder Problems on Cycle-Factors
Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier-Stokes equations with model order reduction
Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing
Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama
Concurrent Development of Model and Implementation
A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
Emotional Intensity analysis in Bipolar subjects
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic
Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs
CGCV: Context Guided Correlation Volume for Optical Flow Neural Networks
Architecture for Integrated Mems Resonators Quality Factor Measurement
Towards correct-by-construction product variants of a software product line: GFML, a formal language for feature modules
Adaptive Routing for Quantum Memory Failures in the Quantum Internet
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Constraint-Based Type-Directed Program Synthesis
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
Fast prototyping of an SDR WLAN 802.11b receiver for an indoor positioning system
How Does the Vulnerability of an Evolving Power Grid Change?
A Novel Robust 3-D Path Following Control for Keplerian Orbits
You May Not Need Order in Time Series Forecasting
Space-time parallel iterative solvers for the integration of parabolic problems
How Does Kanban Impact Communication and Collaboration in Software Engineering Teams?
Overtourism to Equilibrium: A System Dynamics & Multi-Objective Model for Sustainable Destinations
A Survey on Robotics with Foundation Models: toward Embodied AI
Privacy-Preserved Average Consensus Algorithms with Edge-based Additive Perturbations
Startup Control Optimization of He-Xe Cooled Space Nuclear Reactors Using a System Analysis Program
Suicide ideation of individuals in online social networks
Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models
Can Wikipedia Help Offline Reinforcement Learning?
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
Differentiable model-based adaptive optics for two-photon microscopy
PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation
Towards augmented data quality management: Automation of Data Quality Rule Definition in Data Warehouses
A scalable and real-time neural decoder for topological quantum codes
Predicting Weather Uncertainty with Deep Convnets
MM-GEF: Multi-modal representation meet collaborative filtering
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
Demand-Driven Incremental Object Queries
DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective
Image-on-Scalar Regression via Deep Neural Networks
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude
Span-Aggregatable, Contextualized Word Embeddings for Effective Phrase Mining
Robust Federated Recommendation System
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
Sparse Identification for Non-linear Dynamics applied to hysteresis-controlled systems
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements
Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization
Multi-level Encoder-Decoder Architectures for Image Restoration
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval
Generating Text with Deep Reinforcement Learning
A Systematic Approach to Constructing Incremental Topology Control Algorithms Using Graph Transformation
The Case of Significant Variations in Gold-Green and Black Open Access: Evidence from Indian Research Output
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images
Real-world Machine Learning Systems: A survey from a Data-Oriented Architecture Perspective
Cyclic and Inductive Calculi are equivalent
Complexity of Modification Problems for Best Match Graphs
Some Remarks on Random Vectors and O(n)-Invariants
Sparse Reconstruction of Depth Data: Representation, Algorithm, and Sampling
COSBO: Conservative Offline Simulation-Based Policy Optimization
Shape patterns in popularity series of video games
SEED-Bench-2: Benchmarking Multimodal Large Language Models
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps
Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
Exposure Bias Reduction for Enhancing Diffusion Transformer Feature Caching
Real-time tracking of COVID-19 and coronavirus research updates through text mining
Efficient Spectrum Management Exploiting D2D Communication in 5G Systems
Revealing the Hidden Temporal Structure of HubertSoft Embeddings based on the Russian Phonetic Corpus
Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency
Learning to Crawl: Latent Model-Based Reinforcement Learning for Soft Robotic Adaptive Locomotion