yusuke1997/dblp-id-title huggingface dataset:
FRA-DiagSys: A Transformer Winding Fault Diagnosis System for Identifying Fault Types and degrees Using Frequency Response Analysis
FedDig: Robust Federated Learning Using Data Digest to Represent Absent Clients
SAGE: Scene Graph-Aware Guidance and Execution for Long-Horizon Manipulation Tasks
Instruction sequences and non-uniform complexity theory
Information Bottleneck Methods on Convolutional Neural Networks
Detecting Dataset Drift and Non-IID Sampling via k-Nearest Neighbors
Cryo-EM as a Stochastic Inverse Problem
Testing Sumsets is Hard
Projected-gradient algorithms for generalized equilibrium seeking in Aggregative Games are preconditioned Forward-Backward methods
Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection
On Coarse Graining of Information and Its Application to Pattern Recognition
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
Spectral Finiteness Property and Splitting of State Space for Matrix-Valued Cocycles
TracerX: Dynamic Symbolic Execution with Interpolation
Parameter robust preconditioning for multi-compartmental Darcy equations
A remark on Kashin's discrepancy argument and partial coloring in the Komlós conjecture
Bass-SIR model for diffusion of new products
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications
Improved Spectrum Mobility using Virtual Reservation in Collaborative Cognitive Radio Networks
Stationary Geometric Graphical Model Selection
Compute and memory efficient universal sound source separation
Faster linearizability checking via $P$-compositionality
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
Attribute Dependencies for Data with Grades
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
Hypergraphs on high dimensional time series sets using signature transform
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
Rapid Mixing of Glauber Dynamics for Monotone Systems via Entropic Independence
Distributed processing of continuous range queries over moving objects
Data-Driven Feedback Linearization using the Koopman Generator
Relaxing the Feature Covariance Assumption: Time-Variant Bounds for Benign Overfitting in Linear Regression
On the convergence of decentralized gradient descent with diminishing stepsize, revisited
How to prevent type-flaw attacks on security protocols under algebraic properties
Barlow Twins for Sequential Recommendation
CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing
Latency Optimization in LEO Satellite Communications with Hybrid Beam Pattern and Interference Control
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions
Investigating End-Users' Values in Agriculture Mobile Applications Development: An Empirical Study on Bangladeshi Female Farmers
On the 5G Wireless Communications at the Low Terahertz Band
The Total Irregularity of Graphs under Graph Operations
Conformal Online Learning of Deep Koopman Linear Embeddings
Adaptive Data Collection for Latin-American Community-sourced Evaluation of Stereotypes (LACES)
Enhanced Urban Traffic Management Using CCTV Surveillance Videos and Multi-Source Data Current State Prediction and Frequent Episode Mining
UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree
Using Quasigroups for Generating Pseudorandom Numbers
One-Shot-Learning Gesture Recognition using HOG-HOF Features
Modeling Uncertainty and Evolving Self-Adaptive Software: A Fuzzy Theory Based Requirements Engineering Approach
Multi-property Steering of Large Language Models with Dynamic Activation Composition
Efficient Blockchain-based Steganography via Backcalculating Generative Adversarial Network
Short-Term Memory Through Persistent Activity: Evolution of Self-Stopping and Self-Sustaining Activity in Spiking Neural Networks
Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
The Evolving Ethics of Medical Data Stewardship
Enhancing LLM-based Fault Localization with a Functionality-Aware Retrieval-Augmented Generation Framework
Another Asymptotic Notation : "Almost"
Testing LLM performance on the Physics GRE: some observations
Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication
Predicting Digital Asset Prices using Natural Language Processing: a survey
Supervisory Controller Synthesis for Non-terminating Processes is an Obliging Game
PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants
Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation
EndoAgent: A Memory-Guided Reflective Agent for Intelligent Endoscopic Vision-to-Decision Reasoning
Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators
Skip to Secure: Securing Cyber-physical Control Loops with Intentionally Skipped Executions
Robust Hierarchical Planning with Policy Delegation
Convolutional Networks with Adaptive Computation Graphs
Maintaining Plasticity in Reinforcement Learning: A Cost-Aware Framework for Aerial Robot Control in Non-stationary Environments
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems
Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
ChatGPT as a Text Simplification Tool to Remove Bias
Domain Adaptation for Different Sensor Configurations in 3D Object Detection
BA-ORABE: Blockchain-Based Auditable Registered Attribute-Based Encryption With Reliable Outsourced Decryption
k-forested choosability of graphs with bounded maximum average degree
Fine tuning U-Net for ultrasound image segmentation: which layers?
Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV
Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge
Enhancing Long Video Question Answering with Scene-Localized Frame Grouping
A Comprehensive Model to achieve Service Reusability for Multi level stakeholders using Non-Functional attributes of Service Oriented Architecture
Artificial Intelligence and Employment Exposure: A Territorial and Gender Perspective
Estimation of the reduced density matrix and entanglement entropies using autoregressive networks
An evaluation of template and ML-based generation of user-readable text from a knowledge graph
Load Plus Communication Balancing in Contiguous Partitions for Distributed Sparse Matrices: Linear-Time Algorithms
Enhancing Polyp Segmentation via Encoder Attention and Dynamic Kernel Update
Empirical Investigation of Factors that Influence Human Presence and Agency in Telepresence Robot
TOP-SPIN: TOPic discovery via Sparse Principal component INterference
PyNET-QxQ: A Distilled PyNET for QxQ Bayer Pattern Demosaicing in CMOS Image Sensor
Statistical physics of exchangeable sparse network ensembles
Leveraging Whisper Embeddings for Audio-based Lyrics Matching
Sparse Regularization for Mixture Problems
Modularity clustering is force-directed layout
Non-linear ICA based on Cramer-Wold metric
Delta-stepping SSSP: from Vertices and Edges to GraphBLAS Implementations
Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes
System Administrators Are Parting Ways With Command Line Interfaces: An Exploratory Study of Firewall Interfaces
Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction
Summing free unitary Brownian motions with applications to quantum information
Extracting Psychological Indicators Using Question Answering
Revisiting NLI: Towards Cost-Effective and Human-Aligned Metrics for Evaluating LLMs in Question Answering
Theoretic Shaping Bounds for Single Letter Constraints and Mismatched Decoding
Distributed Denial of Service is a Scalability Problem
Characterization and Enumeration of Complementary Dual Abelian Codes
Snake-in-the-Box Codes for Rank Modulation under Kendall's $τ$-Metric
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
Community detection and tracking on networks from a data fusion perspective
Lowest-degree polynomial de Rham complex on general quadrilateral grids
Quantifying the role of supernatural entities and the effect of missing data in Irish sagas
CSPLADE: Learned Sparse Retrieval with Causal Language Models
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models
Toward precision soil health: A regional framework for site-specific management across Missouri
A Computer Vision System to Help Prevent the Transmission of COVID-19
Bio-inspired Optimization: metaheuristic algorithms for optimization
SketchFill: Sketch-Guided Code Generation for Imputing Derived Missing Values
Alleviating Noisy Data in Image Captioning with Cooperative Distillation
Fine-tuning and aligning question answering models for complex information extraction tasks
Assortative Mixing in Close-Packed Spatial Networks
Vanishing opinions in Latané model of opinion formation
Decentralized Tube-based Model Predictive Control of Uncertain Nonlinear Multi-Agent Systems
LSTM-Based Goal Recognition in Latent Space
Affect-based Intrinsic Rewards for Learning General Representations
Evolutionary Mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world
A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation
Interface agents: A review of the field
DA-SSL: self-supervised domain adaptor to leverage foundational models in turbt histopathology slides
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing
Delta-learned force fields for nonbonded interactions: Addressing the strength mismatch between covalent-nonbonded interaction for global models
Rule-Based Explanations for Retrieval-Augmented LLM Systems
OpenRR-5k: A Large-Scale Benchmark for Reflection Removal in the Wild
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Decidable Models of Recursive Asynchronous Concurrency
Weak Supervision with Incremental Source Accuracy Estimation
Abstractive Summarization Improved by WordNet-based Extractive Sentences
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-time Popularities
Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony
Hierarchical Bayesian Data Fusion for Robotic Platform Navigation
Strong Scaling for Numerical Weather Prediction at Petascale with the Atmospheric Model NUMA
Absorbing Set Spectrum Approach for Practical Code Design
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network
A Multi-Party, Multi-Blockchain Atomic Swap Protocol with Universal Adaptor Secret
MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making
Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling
Anytime-valid off-policy inference for contextual bandits
A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings
Developing a Repeating Model Using the Structured Spreadsheet Modelling and Implementation Methodology
Computing Motion with 3D Memristive Grid
Error-Correcting Neural Sequence Prediction
Architect Your Landscape Approach (AYLA) for Optimizations in Deep Learning
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features
Scheduling unit processing time arc shutdown jobs to maximize network flow over time: complexity results
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning
CamI2V: Camera-Controlled Image-to-Video Diffusion Model
Neural Risk Limiting Dispatch in Power Networks: Formulation and Generalization Guarantees
Minimal Stinespring Representations of Operator Valued Multilinear Maps
Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute
LaCulturaNonSiFerma - Report su uso e la diffusione degli hashtag delle istituzioni culturali italiane durante il periodo di lockdown
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data
Large Non-Stationary Noisy Covariance Matrices: A Cross-Validation Approach
Stochastic on-off switching dynamics in a model of intermittent control during human quiet stance: A finite Markov chain approximation of switched Fokker-Planck equations
Algorithms for Packet Routing in Switching Networks with Reconfiguration Overhead
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition
On Sub-Packetization of Capacity-Achieving PIR Schemes for MDS Coded Databases
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies
Polynomial and Parallelizable Preconditioning for Block Tridiagonal Positive Definite Matrix
Eventual Linear Ranking Functions
Securing Fleets of Consumer Drones at Low Cost
Diverse Offline Imitation via Fenchel Duality
UniCUE: Unified Recognition and Generation Framework for Chinese Cued Speech Video-to-Speech Generation
On Regularization via Frame Decompositions with Applications in Tomography
String Diagrammatic Electrical Circuit Theory
Software as a Service - Common Service Bus (SAAS-CSB)
Learning Cellular Network Connection Quality with Conformal
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Complete stability analysis of a heuristic ADP control design
Symmetrical SyncMap for Imbalanced General Chunking Problems
3D Neural Field Generation using Triplane Diffusion
Integrating Large Language Models for Severity Classification in Traffic Incident Management: A Machine Learning Approach
Dissecting Continual Learning a Structural and Data Analysis
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
Local Pan-Privacy for Federated Analytics
Dynamic Incentive Selection for Hierarchical Convex Model Predictive Control
FlightBench: A Comprehensive Benchmark of Spatial Planning Methods for Quadrotors
The Utility of Clustering in Prediction Tasks
Topology optimization of stiff structures under self-weight for given volume using a smooth Heaviside function
An EMUSIM Technique and its Components in Cloud Computing- A Review
Optimizing Quantum Search Using a Generalized Version of Grover's Algorithm
Text data mining and data quality management for research information systems in the context of open data and open science
Breast Cancer Segmentation using Attention-based Convolutional Network and Explainable AI
A Study of Library Migration in Java Software
A compression based framework for the detection of anomalies in heterogeneous data sources
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment
Toward Fully Automated Robotic Platform for Remote Auscultation
Less Noise, More Signal: DRR for Better Optimizations of SE Tasks
Learning To Help: Training Models to Assist Legacy Devices
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching
A Distributed, Asynchronous and Incremental Algorithm for Nonconvex Optimization: An ADMM Based Approach
Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications
GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking
Scalable computation for optimal control of cascade systems with constraints
Paired-Sampling Contrastive Framework for Joint Physical-Digital Face Attack Detection
SVM based on personal identification system using Electrocardiograms
Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCT
Pose-dependent weights and Domain Randomization for fully automatic X-ray to CT Registration
BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain
Analysis of the Effect of Dependency Information on Predicate-Argument Structure Analysis and Zero Anaphora Resolution
Network-on-Chip with load balancing based on interleave of flits technique
Neighbor Embedding Variational Autoencoder
The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis
Fast Inverse Nonlinear Fourier Transform For Generating Multi-Solitons In Optical Fiber
CancerLLM: A Large Language Model in Cancer Domain
Towards image-based automatic meter reading in unconstrained scenarios: A robust and efficient approach
Partial Residuated Implications Derived from Partial Triangular Norms and Partial Residuated Lattices
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey
An Experience Report on a Pedagogically Controlled, Curriculum-Constrained AI Tutor for SE Education
RLRF: Competitive Search Agent Design via Reinforcement Learning from Ranker Feedback
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
Towards structure-preserving quantum encodings
Submodular Optimization for Efficient Semi-supervised Support Vector Machines
Fast Gaussian Process Predictions on Large Geospatial Fields with Prediction-Point Dependent Basis Functions
Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data
An Algorithmic Approach to Information and Meaning
Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations
Enhanced Web User Interface Design Via Cross-Device Responsiveness Assessment Using An Improved HCI-INTEGRATED DL Schemes
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT
Energetics of the brain and AI
A parallel algorithm for the odd two-face shortest k-disjoint path problem
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
ReMix: Training Generalized Person Re-identification on a Mixture of Data
Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom
Measuring Heterogeneity in Machine Learning with Distributed Energy Distance
Real-time control of a magnetohydrodynamic flow
LAST: Scalable Lattice-Based Speech Modelling in JAX
Random matrix theory and the loss surfaces of neural networks
Design and Fabrication of a Microfluidic System with Nozzle/Diffuser Micropump and Viscosity
Towards Universal Shared Control in Teleoperation Without Haptic Feedback
Neural Networks for Vehicle Routing Problem
LiDAR Point-to-point Correspondences for Rigorous Registration of Kinematic Scanning in Dynamic Networks
DCE: A Novel Delay Correlation Measurement for Tomography with Passive Realization
Augmented Equivariant Attention Networks for Electron Microscopy Image Super-Resolution
SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
Hi-ResNet: A High-Resolution Remote Sensing Network for Semantic Segmentation
Medico 2025: Visual Question Answering for Gastrointestinal Imaging
The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification
Loss Minimization of Traction Systems in Battery Electric Vehicles Using Variable DC-link Voltage Technique - Experimental Study
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
Navigating the acceptance of implementing business intelligence in organizations: A system dynamics approach
How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit
Diameter Spanner, Eccentricity Spanner, and Approximating Extremal Graph Distances: Static, Dynamic, and Fault Tolerant
Convergence and supercloseness in a balanced norm of finite element methods on Bakhvalov-type meshes for reaction-diffusion problems
Enhancing the Input Representation: From Complexity to Simplicity
Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines
Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
Parallel iterative solvers for discretized reduced optimality systems
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
Large Language Models for Medical Forecasting - Foresight 2
Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective
Distinct types of eigenvector localization in networks
Patient-Specific Prosthetic Fingers by Remote Collaboration - A Case Study
ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges
Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videos
Improving Smartphone Battery Life Utilizing Device-to-device Cooperative Relays Underlaying LTE Networks
Differentiable Physics-based Greenhouse Simulation
Hierarchical Timbre-Painting and Articulation Generation
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition
Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing
Stiffness Analysis of Overconstrained Parallel Manipulators
Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling
Performance Analysis of Physical Layer Security over Fluctuating Beckmann Fading Channels
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Monitoring the adoption of SPI-related best practices. An experience report
Quantifying vulnerability of secret generation using hyper-distributions (extended version)
Age of Information in a Decentralized Network of Parallel Queues with Routing and Packets Losses
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview
Scalable Analysis for Large Social Networks: the data-aware mean-field approach
Underpinning Theories of Software Engineering: Dynamism in Physical Sources of the Shannon Weaver Communication Model
Diameter constrained Steiner tree and related problems
Negative Imaginary State Feedback Equivalence for a Class of Nonlinear Systems
Neural Architecture Search Using Stable Rank of Convolutional Layers
Regular graphs are antimagic
A 72h exploration of the co-evolution of food insecurity and international migration
Towards Environmentally Equitable AI
Black-box Methods for Restoring Monotonicity
Abnormality Detection and Localization Schemes using Molecular Communication Systems: A Survey