yusuke1997/dblp-id-title huggingface dataset:
Guided Labeling using Convolutional Neural Networks
SCALABLE INTERNETWORKING: Final Technical Report
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
Negative Impact of Online Political Incivility on Willingness to See Political Comments
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images
Compensation Tracker: Data Association Method for Lost Object
Orbit-Aware Split Learning: Optimizing LEO Satellite Networks for Distributed Online Learning
When Kids Mode Isn't For Kids: Investigating TikTok's "Under 13 Experience"
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
Skew Generalized Quasi-Cyclic Codes over Finite Fields
Learning-Based Cost-Aware Defense of Parallel Server Systems against Malicious Attacks
Are Large Language Models Temporally Grounded?
Optimal Routing for Delay-Sensitive Traffic in Overlay Networks
Rates of Approximation by ReLU Shallow Neural Networks
Robust TTS Training via Self-Purifying Flow Matching for the WildSpoof 2026 TTS Track
Efficient Online Learning for Opportunistic Spectrum Access
On the hardness of knowing busy beaver values BB(15) and BB(5, 4)
Bounds of restricted isometry constants in extreme asymptotics: formulae for Gaussian matrices
DiffMatch: Diffusion Model for Dense Matching
Road Traffic Monitoring using DSRC Signals
The Multi-granularity in Graph Revealed by a Generalized Leading Tree
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning
CADIC: Continual Anomaly Detection Based on Incremental Coreset
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Complexity reduction for resilient state estimation of uniformly observable nonlinear systems
Whose Opinion to follow in Multihypothesis Social Learning? A Large Deviation Perspective
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
GraB-sampler: Optimal Permutation-based SGD Data Sampler for PyTorch
Hosting Capacity Approach
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
Region-Wise Correspondence Prediction between Manga Line Art Images
A Counterexample to the Forward Recursion in Fuzzy Critical Path Analysis Under Discrete Fuzzy Sets
On-the-fly Feature Based Speaker Adaptation for Dysarthric and Elderly Speech Recognition
Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion
Opinion formation driven by PageRank node influence on directed networks
Hyperspectral Image Classification with Attention Aided CNNs
An opportunity to improve Data Center Efficiency: Optimizing the Server's Upgrade Cycle
Autonomous parafoil precision landing using convex real-time optimized guidance and control
ReplaceBlock: An improved regularization method based on background information
Formal Semantics of a Classical-Quantum Language
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
Hypergraph Learning for Identification of COVID-19 with CT Imaging
Evaluating The Performance of Using Large Language Models to Automate Summarization of CT Simulation Orders in Radiation Oncology
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets
Tri-FusionNet: Enhancing Image Description Generation with Transformer-based Fusion Network and Dual Attention Mechanism
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
Data-Driven Computation of Polytopic Invariant Sets for Noisy Nonlinear Systems
Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation
Goal-Oriented Real-Time Bayesian Inference for Linear Autonomous Dynamical Systems With Application to Digital Twins for Tsunami Early Warning
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results
Stealthy Traffic Analysis of Low-Latency Anonymous Communication Using Throughput Fingerprinting
Cost-Performance Tradeoffs in Fusing Unreliable Computational Units
Is In-Context Universality Enough? MLPs are Also Universal In-Context
Stable Diffusion with Continuous-time Neural Network
Binary birth-death dynamics and the expansion of cooperation by means of self-organized growth
Loss-of-entanglement prediction of a controlled-PHASE gate in the framework of steepest-entropy-ascent quantum thermodynamics
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution
Intractable Likelihood Regression for Covariate Shift by Kernel Mean Embedding
Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics
Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network
Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks
The energy technique for the six-step BDF method
Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems
A Comparative Analysis on ASR System Combination for Attention, CTC, Factored Hybrid, and Transducer Models
Steganography: A Secure way for Transmission in Wireless Sensor Networks
Finding Needles in the Haystack: Harnessing Syslogs for Data Center Management
Extremal Region Analysis based Deep Learning Framework for Detecting Defects
A Hierarchical Sharded Blockchain Balancing Performance and Availability
Structured sublinear compressive sensing via dense belief propagation
Deep-seeded Clustering for Unsupervised Valence-Arousal Emotion Recognition from Physiological Signals
Eigen-Direction Alignment Based Physical-Layer Network Coding for MIMO Two-Way Relay Channels
Simulating Resilience in Transaction-Oriented Networks
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
Site Reliability Engineering (SRE) and Observations on SRE Process to Make Tasks Easier
Github Data Exposure and Accessing Blocked Data using the GraphQL Security Design Flaw
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction
BD-SAT: High-resolution Land Use Land Cover Dataset & Benchmark Results for Developing Division: Dhaka, BD
A Unified View of Optimal Kernel Hypothesis Testing
An Entropy-based Proof of Threshold Saturation for Nonbinary SC-LDPC Ensembles on the BEC
Vilamb: Low Overhead Asynchronous Redundancy for Direct Access NVM
Physics-based Noise Modeling for Extreme Low-light Photography
Continual Universal Object Detection
Convergence of a particle method for gradient flows on the L p -Wasserstein space
Reasoning-Aware GRPO using Process Mining
Black box tests for algorithmic stability
Contrastive Disentangled Learning on Graph for Node Classification
Assessing the Effectiveness of Selective Marketing to Broaden Participation in CS Education
Modular Analysis via Specifications as Values
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation
Initial Task Allocation for Multi-Human Multi-Robot Teams with Attention-based Deep Reinforcement Learning
DeMansia: Mamba Never Forgets Any Tokens
Multi-resource defensive strategies for patrolling games with alarm systems
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
Unveiling The Tree: A Convex Framework for Sparse Problems
CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks
Fortin Operator for the Taylor-Hood Element
Declarative Techniques for NL Queries over Heterogeneous Data
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Domain-Informed Operation Excellence of Gas Turbine System with Machine Learning
Partitioning Data on Features or Samples in Communication-Efficient Distributed Optimization?
MVD: A Multi-Lingual Software Vulnerability Detection Framework
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning
Adaptive Koopman Model Predictive Control of Simple Serial Robots
Applications of Gaussian Binomials to Coding Theory for Deletion Error Correction
H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
Understanding Memory Modules on Learning Simple Algorithms
An inflationary differential evolution algorithm for space trajectory optimization
A Plural Decentralized Identity Frontier: Abstraction v. Composability Tradeoffs in Web3
A Multi-Agent Framework for Stateful Inference-Time Search
Not All Qubits are Utilized Equally
A Theory of Trotter Error
Eliminating unwanted patterns with minimal interference
Hybrid Physics-ML Model for Forward Osmosis Flux with Complete Uncertainty Quantification
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
Semi-Private Computation of Data Similarity with Controlled Leakage
An Explainable Deep Neural Network with Frequency-Aware Channel and Spatial Refinement for Flood Prediction in Sustainable Cities
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
Privacy-Aware Compression for Federated Data Analysis
The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
Beyond Normal: Learning Spatial Density Models of Node Mobility
Differentially Private Trajectory Data Publication
From Behavior to Sparse Graphical Games: Efficient Recovery of Equilibria
Cellular Network Architectures for the Society in Motion
Safe Exploration for Identifying Linear Systems via Robust Optimization
Social World Model-Augmented Mechanism Design Policy Learning
Atlas-Based Interpretable Age Prediction
A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs
A Review of Feature Selection Methods Based on Mutual Information
Structured Dispersion Matrices from Space-Time Block Codes for Space-Time Shift Keying
Towards Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory
Time-Aware Attention for Enhanced Electronic Health Records Modeling
Implicit Variational Conditional Sampling with Normalizing Flows
Open-RadVLAD: Fast and Robust Radar Place Recognition
System X: A Mobile Voice-Based AI System for EMR Generation and Clinical Decision Support in Low-Resource Maternal Healthcare
Compact Indexes for Flexible Top-k Retrieval
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Explainable classification of astronomical uncertain time series
Prototypical Description and Controller Design for a Set of Systems Using v-gap Based Clustering
Optimal Unsupervised Domain Translation
CLERF: Contrastive LEaRning for Full Range Head Pose Estimation
RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
Balanced Filtering via Non-Disclosive Proxies
Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction
DiP: Taming Diffusion Models in Pixel Space
Recon, Answer, Verify: Agents in Search of Truth
A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future
Rache: Radix-additive caching for homomorphic encryption
On the Capacity and Mutual Information of Memoryless Noncoherent Rayleigh-Fading Channels
Fault Tolerance for Remote Memory Access Programming Models
Tri-Partitions and Bases of an Ordered Complex
An Architecture for Embedded Systems Supporting Assisted Living
Isolario: a Do-ut-des Approach to Improve the Appeal of BGP Route Collecting
Image-Based Model Predictive Control via Dynamic Mode Decomposition
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis
UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages
Uncertainty-aware Generalized Adaptive CycleGAN
Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Stabilizing Controllers for Multi-Input, Singular Control Gain Systems
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting
On the power of iid information for linear approximation
WVEmbs with its Masking: A Method For Radar Signal Sorting
Convergence of Dynamic Programming on the Semidefinite Cone
Dynamic mode decomposition for forecasting and analysis of power grid load data
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images
Online Social Network Analysis: A Survey of Research Applications in Computer Science
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges?
An Overview of Privacy in Machine Learning
"Please enter your PIN" - On the Risk of Bypass Attacks on Biometric Authentication on Mobile Devices
Optimization with nonstationary, nonlinear monolithic fluid-structure interaction
Understanding BBRv3 Performance in AQM-Enabled WiFi Networks
Information Design for Adaptive Organizations
Convex hull: Incremental variations on the Akl-Toussaint heuristics Simple, optimal and space-saving convex hull algorithms
Sphere-Packing Bound for Symmetric Classical-Quantum Channels
Understanding Social Structures from Contemporary Literary Fiction using Character Interaction Graph - Half Century Chronology of Influential Bengali Writers
A Unified Community Detection, Visualization and Analysis method
Q-Learning-Driven Adaptive Rewiring for Cooperative Control in Heterogeneous Networks
Identifying Climate Targets in National Laws and Policies using Machine Learning
A Uniform Self-Stabilizing Minimum Diameter Spanning Tree Algorithm
An Explicit Trust Model Towards Better System Security
Structural-Aware Key Node Identification in Hypergraphs via Representation Learning and Fine-Tuning
Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset
Leveraging neural network interatomic potentials for a foundation model of chemistry
Fast and Scalable Game-Theoretic Trajectory Planning with Intentional Uncertainties
A splitting scheme to solve an equation for fractional powers of elliptic operators
Detecting Atomic Scale Surface Defects in STM of TMDs with Ensemble Deep Learning
Improving Uncertainty Estimates through the Relationship with Adversarial Robustness
Unified greedy approximability beyond submodular maximization
Literature Review: Graph Kernels in Chemoinformatics
Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data
AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks
BCMIX: A Dynamic Self-organizing Blockchain-based Mix Anonymous System
A Generalized Multi-Modal Fusion Detection Framework
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
Deep Reinforcement Learning with Stage Incentive Mechanism for Robotic Trajectory Planning
Analysis of proposed PDE-based underwater image enhancement algorithms
Impression Space from Deep Template Network
Restricted Parameter Range Promise Set Cover Problems Are Easy
A Truthful $(1-ε)$-Optimal Mechanism for On-demand Cloud Resource Provisioning
Analysis of the deletions of DOIs: What factors undermine their persistence and to what extent?
On the Capacity of the Half-Duplex Diamond Channel
Dual-Timescale Spectrum Management in Wireless Heterogeneous Networks
Conformal Predictive Portfolio Selection
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers
Reachability in Geometrically d -Dimensional VASS
VERM: Leveraging Foundation Models to Create a Virtual Eye for Efficient 3D Robotic Manipulation
EfficientNeRF: Efficient Neural Radiance Fields
Efficiency and Budget Balance in General Quasi-linear Domains
SABER: A Systems Approach to Blur Estimation and Reduction in X-ray Imaging
Online NEAT for Credit Evaluation - a Dynamic Problem with Sequential Data
Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
On the Existence of Static Equilibria of a Cable-Suspended Load with Non-stopping Flying Carriers
Global Microprocessor Correctness in the Presence of Transient Execution
Content Base Image Retrieval Using Phong Shading
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
Connectivity Maintenance for Multi-Robot Systems Under Motion and Sensing Uncertainties Using Distributed ADMM-based Trajectory Planning
Asymptotically exact streaming algorithms
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Predicting Graph Categories from Structural Properties
New conforming finite element divdiv complexes in three dimensions
Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation
Anchored Diffusion Language Model
MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
Validation of GPU Computation in Decentralized, Trustless Networks
CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification
Disconnection-aware Attack Detection in Networked Control Systems
Reoptimization of the Closest Substring Problem under Pattern Length Modification
Une approche IDM de transformation exogène de Wright vers Ada
Evaluating Computational Representations of Character: An Austen Character Similarity Benchmark
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization
ToolMind Technical Report: A Large-Scale, Reasoning-Enhanced Tool-Use Dataset
A software toolkit and hardware platform for investigating and comparing robot autonomy algorithms in simulation and reality
Searching for Falsified Clause in Random (log n)-CNFs is Hard for Randomized Communication
GENNAV: Polygon Mask Generation for Generalized Referring Navigable Regions
Gradient-based Point Cloud Denoising with Uniformity
Towards measuring fairness in AI: the Casual Conversations dataset
Human Gender Classification: A Review
Compositional Attention Networks for Interpretability in Natural Language Question Answering
Towards Geometric-Photometric Joint Alignment for Facial Mesh Registration
Switch-Based Multi-Part Neural Network
Multidimensional Tie Strength and Economic Development
The Merits of Sharing a Ride
Construction of a 3-Dimensional MDS code
Advances in Machine Learning Research Using Knowledge Graphs
Noise robust distillation of self-supervised speech models via correlation metrics
A formal approach for correct-by-construction system substitution
Ocean-OCR: Towards General OCR Application via a Vision-Language Model
Towards a regularity theory for ReLU networks - chain rule and global error estimates
Application of Graphics Processing Units for self-consistent modelling of shallow water dynamics and sediment transport
Improved Approximation of Storage-Rate Tradeoff for Caching with Multiple Demands
A Framework for Carbon-aware Real-Time Workload Management in Clouds using Renewables-driven Cores
Partial k-means to avoid outliers, mathematical programming formulations, complexity results
A First Look at Selection Bias in Preference Elicitation for Recommendation
Internet and political communication - Macedonian case
Development of SageMath filter for Moodle
Identifying Incorrect Classifications with Balanced Uncertainty
Longest Common Substring and Longest Palindromic Substring in Õ(√n) Time
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset
Feature Bagging for Steganographer Identification
Self-supervised Cross-silo Federated Neural Architecture Search
Node isolation in large homogeneous binary multiplicative attribute graph models
A copula-based visualization technique for a neural network
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution
Cloud-Native Vector Search: A Comprehensive Performance Analysis
Compound eye inspired flat lensless imaging with spatially-coded Voronoi-Fresnel phase
10 hours data is all you need
How to apply tree decomposition ideas in large networks?
Benchmarking the Cell Image Segmentation Models Robustness under the Microscope Optical Aberrations
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
Towards Real-time Training of Physics-informed Neural Networks: Applications in Ultrafast Ultrasound Blood Flow Imaging
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes
Squeezing bottlenecks: exploring the limits of autoencoder semantic representation capabilities
High-quality nonparallel voice conversion based on cycle-consistent adversarial network
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization
United Nations Digital Blue Helmets as a Starting Point for Cyber Peacekeeping
Full-Duplex Radio for Uplink/Downlink Transmission with Spatial Randomness
Covariance estimation under one-bit quantization
Measuring Robustness in Cyber-Physical Systems under Sensor Attacks
Coprime networks of the composite numbers: pseudo-randomness and synchronizability
Updating the silent speech challenge benchmark with deep learning
A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility
Arbitrary Volumetric Refocusing of Dense and Sparse Light Fields
Defining and Explorting the Intelligence Space
Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews
A quantum compiler design method by using linear combinations of permutations
Elasticity-based Matching by Minimizing the Symmetric Difference of Shapes
Kashmir: A Computational Analysis of the Voice of Peace
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
On the Restricted k-Steiner Tree Problem
DSDNet: Deep Structured self-Driving Network
Is there a future for AI without representation?
MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation
Man, machine and work in a digital twin setup: a case study
maneuverRecognition - A Python package for Timeseries Classification in the domain of Vehicle Telematics
Transferred Discrepancy: Quantifying the Difference Between Representations
Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario
Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
Towards a Governance Framework for Brain Data
A Note on the Complexity of the Spectral Gap Problem
Manufacturing Pathway and Experimental Demonstration for Nanoscale Fine-Grained 3-D Integrated Circuit Fabric
SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal