yusuke1997/dblp-id-title huggingface dataset:
Textual Fingerprinting with Texts from Parkin, Bassewitz, and Leander
Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach
Geovisual Analytics and Interactive Machine Learning for Situational Awareness
Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning
PRIVMARK: Private Large Language Models Watermarking with MPC
Connectivity of Confined Dense Networks: Boundary Effects and Scaling Laws
Set-Based Control Barrier Functions and Safety Filters
Online Policy Optimization for Robust MDP
PneuGelSight: Soft Robotic Vision-Based Proprioception and Tactile Sensing
Drone Flocking Optimization using NSGA-II and Principal Component Analysis
Chemical Language Model Linker: blending text and molecules with modular adapters
Two-level Method Part-scale Thermal Analysis of Laser Powder Bed Fusion Additive Manufacturing
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
Reduced-order modeling of a sliding ring on an elastic rod with incremental potential formulation
Citadel: Side-Channel-Resistant Enclaves with Secure Shared Memory on a Speculative Out-of-Order Processor
Advancing Conversational Psychotherapy: Integrating Privacy, Dual-Memory, and Domain Expertise with Large Language Models
GDB: Gated convolutions-based Document Binarization
Extended Unary Coding
Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem
Interval-Permutation Segment Graphs
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation
Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller
Faster and simpler approximation of stable matchings
A Nearly Optimal Construction of Flash Codes
MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision Language Models
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting
Two-dimensional Fourier Continuation and applications
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
New entanglement-assisted quantum MDS codes with length n=(q 2 +1)/5
Triplicate Dual Series of Dougall-Dixon Theorem
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation
Critical Transitions in Intensive Care Units: A Sepsis Case Study
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Corporate core values and social responsibility: What really matters to whom
Failure Detection and Recovery in Hierarchical Network Using FTN Approach
Nonlocal Reconfigurable Intelligent Surfaces for Wireless Communication: Modeling and Physical Layer Aspects
Advanced Strategies for Uncertainty-Guided Live Measurement Sequencing in Fast, Robust SAR ADC Linearity Testing
Non-Proportional Parametrizations for Stable Hypernetwork Learning
AugFL: Augmenting Federated Learning with Pretrained Models
Sparsity based Efficient Cross-Correlation Techniques in Sensor Networks
UT5: Pretraining Non autoregressive T5 with unrolled denoising
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut
Control-Flow Refinement for Probabilistic Programs in KoAT
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks
Vector Bin-and-Cancel for MIMO Distributed Full-Duplex
Mobile device users' susceptibility to phishing attacks
Well-Posedness of the R13 Equations Using Tensor-Valued Korn Inequalities
Visualization of Large Volumetric Multi-Channel Microscopy Data Streams on Standard PCs
Counting maximal near perfect matchings in quasirandom and dense graphs
Stronger Baseline for Person Re-Identification
FlexOlmo: Open Language Models for Flexible Data Use
Topology Identification with Latent Nodes using Matrix Decomposition
A SHM method for detecting damage with incomplete observations based on VARX modelling and Granger causality
LTD-Bench: Evaluating Large Language Models by Letting Them Draw
A Two-Stage Finite Element Approach for High-precision Guaranteed Lower Eigenvalue Bounds
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
Disjoint Total Dominating Sets in Near-Triangulations
Complexity of Activity Patterns in a Bio-Inspired Hopfield-Type Network in Different Topologies
State Estimation over Worst-Case Erasure and Symmetric Channels with Memory
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models
A Power Efficient Sensing/Communication Scheme: Joint Source-Channel-Network Coding by Using Compressive Sensing
A Simple and Realistic Pedestrian Model for Crowd Simulation and Application
Epicure: Distilling Sequence Model Predictions into Patterns
Optimizing Synchronization Stability of the Kuramoto Model in Complex Networks and Power Grids
Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding
Successful Recovery Performance Guarantees of Noisy SOMP
An o-minimal Szemerédi-Trotter theorem
Learning Spatial-Aware Manipulation Ordering
The quasispecies regime for the simple genetic algorithm with ranking selection
Combined Channel and Spatial Attention-based Stereo Endoscopic Image Super-Resolution
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels
A parallel implementation of a derivative pricing model incorporating SABR calibration and probability lookup tables
Benign Overfitting with Quantum Kernels
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery
Stochastic Optimization for Machine Learning
Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
Development of Marathi Part of Speech Tagger Using Statistical Approach
Multilayer Minkowski Reflectarray Antenna with Improved Phase Performance
Quantum Adaptive Fourier Features for Neural Density Estimation
Backdoor Attack against Speaker Verification
Concept Combination and the Origins of Complex Cognition
New approach for solving stationary nonlinear Navier-Stokes equations in non-convex domain
From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models
Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately
Building a logical model in the machining domain for CAPP expert systems
Inter-thread Communication in Multithreaded, Reconfigurable Coarse-grain Arrays
Error estimates of a regularized finite difference method for the Logarithmic Schr\"{o}dinger equation with Dirac delta potential
Positive-Negative Equal Contrastive Loss for Semantic Segmentation
Towards Determining the Effect of Age and Educational Level on Cyber-Hygiene
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data
A Survey on Explainability in Machine Reading Comprehension
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns
Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization
A Proof of a Recursion for Bessel Moments
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Towards Automatic Extraction of Social Networks of Organizations in PubMed Abstracts
On the Design of Channel Shortening Demodulators for Iterative Receivers in MIMO and ISI Channels
Deep Learning for Depression Recognition with Audiovisual Cues: A Review
LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
Mise en place de scénarios pour la conception d'outils en Chirurgie Minimalement Invasive
Minimal Dirichlet energy partitions for graphs
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Deep learning is competing random forest in computational docking
Sparse K-Means with ℓ ∞ /ℓ 0 Penalty for High-Dimensional Data Clustering
COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs
Scheduling in Parallel Queues with Randomly Varying Connectivity and Switchover Delay
Difflare: Removing Image Lens Flare with Latent Diffusion Model
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
Non-Monotonicity in Probabilistic Reasoning
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network
Security Challenges when Space Merges with Cyberspace
Psychometric Instruments in Software Engineering Research on Personality: Status Quo After Fifty Years
An investigation of factors affecting Fast-Interaction Converter-driven Stability in Microgrids
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
How Do Fair Decisions Fare in Long-term Qualification?
Bayesian Assessments of Aeroengine Performance
Polytopic Invariant Verification and Synthesis for Polynomial Dynamical Systems via Linear Programming
Linguistic Elements of Engaging Customer Service Discourse on Social Media
Can Transformers Predict Vibrations?
Numerical analysis of the Landau-Lifshitz-Bloch equation with spin-torques
Koopman Operator-based Detection-Isolation of Cyberattack: A Case Study on Electric Vehicle Charging
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence
Out-of-Distribution Detection with Semantic Mismatch under Masking
Distributed Interference-Aware Energy-Efficient Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks
Optimal Rate Allocation in Mismatched Multiterminal Source Coding
Structure-preserving approximation of the Cahn-Hilliard-Biot system
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
A Novel Clustering Approach Based on Group Quasi-Consensus of Unstable Dynamic Linear High-Order Multi-Agent Systems
ROI Regularization for Semi-supervised and Supervised Learning
Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies
EZYer: A simulacrum of high school with generative agent
Automated discovery of finite volume schemes using Graph Neural Networks
Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
Neighbors and relatives: How do speech embeddings reflect linguistic connections across the world?
Variability aware Golden Reference Free methodology for Hardware Trojan Detection Using Robust Delay Analysis
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
STAR: Distributed Secret Sharing for Private Threshold Aggregation Reporting
INSTA-YOLO: Real-Time Instance Segmentation
The Minimal Controllability Problem
STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback Optimization in Humanoid Robotics Locomotion
Wireless BMS Architecture for Secure Readout in Vehicle and Second life Applications
Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling
Uncovering Latent Human Wellbeing in Language Model Embeddings
The best approximation pair problem relative to two subsets in a normed space
Concept Bottleneck Model with Additional Unsupervised Concepts
DiffPlace: A Conditional Diffusion Framework for Simultaneous VLSI Placement Beyond Sequential Paradigms
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
Multiview Image-Based Localization
A space-time finite element method for parabolic obstacle problems
InstruGen: Automatic Instruction Generation for Vision-and-Language Navigation Via Large Multimodal Models
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning
Design and analysis of bent functions using M-subspaces
On computing derivatives of transfer operators and linear responses in higher dimensions
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars
Statistical Analysis on Bangla Newspaper Data to Extract Trending Topic and Visualize Its Change Over Time
Anka: A Domain-Specific Language for Reliable LLM Code Generation
Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization
One-dimensional Array Grammars and P Systems with Array Insertion and Deletion Rules
The eyes know it: FakeET - An Eye-tracking Database to Understand Deepfake Perception
Detecting Byzantine Attacks for Gaussian Two-Way Relay System
QoS Provisioning for Multimedia Transmission in Cognitive Radio Networks
Panphasia: a user guide
Video4Edit: Viewing Image Editing as a Degenerate Temporal Process
Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
Plant Bioelectric Early Warning Systems: A Five-Year Investigation into Human-Plant Electromagnetic Communication
Versatile Video Tokenization with Generative 2D Gaussian Splatting
Optimal polynomial meshes exist on any multivariate convex domain
Grasping Object: Challenges and Innovations in Robotics and Virtual Reality
A GPU Accelerated Aggregation Algebraic Multigrid Method
An Efficient Implementation of Guard-Based Synchronization for an Object-Oriented Programming Language
Visualizing Multimodality in Combinatorial Search Landscapes
A Compression-Complexity Measure of Integrated Information
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios
A Compressed Self-Index for Genomic Databases
NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination
An XML-Format for Conjectures in Geometry (Work-in-Progress)
From partners to populations: A hierarchical Bayesian account of coordination and convention
A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems
Through the Looking Glass: Insights into Visualization Pedagogy through Sentiment Analysis of Peer Review Text
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Advanced Feedback Linearization Control for Tiltrotor UAVs: Gait Plan, Controller Design, and Stability Analysis
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
CogGuide: Human-Like Guidance for Zero-Shot Omni-Modal Reasoning
A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem
How Should We Evaluate Synthesized Environmental Sounds
Compressed Video Quality Enhancement with Temporal Group Alignment and Fusion
Distributed Bayesian Detection Under Unknown Observation Statistics
Support Spinor Machine
Understanding is Compression
Kinematics analysis of the parallel module of the VERNE machine
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach
Foundation Models for AI-Enabled Biological Design
Crowdfunding for Design Innovation: Prediction Model with Critical Factors
Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Why Molière most likely did write his plays
Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation
JFR: An Efficient Jump Frontier Relaxation Strategy for Bellman-Ford
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset
Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations
Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges
Extending drawings of complete graphs into arrangements of pseudocircles
Polarization-independent reconfigurable frequency selective rasorber/absorber with low insertion loss
Completely Distributed Power Allocation using Deep Neural Network for Device to Device communication Underlaying LTE
Architecting Safe Automated Driving with Legacy Platforms
Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
Scalar Solvability of Network Computation Problems and Representable Matroids
A Graph-based Stratified Sampling Methodology for the Analysis of (Underground) Forums
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Design and Autonomous Control of the Active Adaptive Suspension System Rudra Mars Rover
A P2P Context Lookup Service for Multiple Smart Spaces
Massive MIMO Downlink 1-Bit Precoding with Linear Programming for PSK Signaling
Horizon-independent Preconditioner Design for Linear Predictive Control
Fast binary embeddings, and quantized compressed sensing with structured matrices
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
Scene Understanding for Autonomous Manipulation with Deep Learning
A Convolutional Feature Map based Deep Network targeted towards Traffic Detection and Classification
Atomistic Simulations for Reactions and Spectroscopy in the Era of Machine Learning - Quo Vadis?
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort
Continuity-Enhanced Basis Signal aided Low-Interference N-Continuous OFDM
A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
Investigation of Numerical Dispersion with Time Step of The FDTD Methods: Avoiding Erroneous Conclusions
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
Recurrent Stochastic Configuration Networks for Temporal Data Analytics
Interference Alignment: A one-sided approach
A Systematic Mapping Study on Dynamic Metrics and Software Quality
PACNav: A collective navigation approach for UAV swarms deprived of communication and external localization
Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR
Who shapes Web standards? Uncovering the main topics of interest in the W3C
A measure of similarity between scientific journals and of diversity of a list of publications
On-device Large Multi-modal Agent for Human Activity Recognition
Dictionary Learning over Distributed Models
Small Data and Process in Data Visualization: The Radical Translations Case Study
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data
Early Abandoning and Pruning for Elastic Distances
An Integrated Optimization and Deep Learning Pipeline for Predicting Live Birth Success in IVF Using Feature Optimization and Transformer-Based Models
Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
Better plain ViT baselines for ImageNet-1k
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue!
On index expectation and curvature for networks
IoT-Aerial Base Station Task Offloading with Risk-Sensitive Reinforcement Learning for Smart Agriculture
Model-Predictive Trajectory Generation for Autonomous Aerial Search and Coverage
Improving the Minimax Rate of Active Learning
Autoencoding Neural Networks as Musical Audio Synthesizers
Eliminating Higher-Multiplicity Intersections, I. A Whitney Trick for Tverberg-Type Problems
Automatic Registration of SHG and H&E Images with Feature-based Initial Alignment and Intensity-based Instance Optimization: Contribution to the COMULIS Challenge
Node Disjoint Multipath Routing Considering Link and Node Stability protocol: A characteristic Evaluation
Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy
The Capacity of Private Information Retrieval with Private Side Information Under Storage Constraints
A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market
Complex Networks from Simple Rewrite Systems
Efficient Strongly Polynomial Algorithms for Quantile Regression
The effect of the toplolgy adaptation on search performance in overlay network
Image-Based Method For Measuring And Classification Of Iron Ore Pellets Using Star-Convex Polygons
Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search
Use of Power Flow Controllers to Enhance Transmission Network Utilisation on the Irish Transmission Network
A Network Based Approach to Characterize Twenty-First-Century Populism in Colombia
The WayHome: Long-term Motion Prediction on Dynamically Scaled
Crime Prediction Based On Crime Types And Using Spatial And Temporal Criminal Hotspots
Genealogical Population-Based Training for Hyperparameter Optimization
A Benchmark for Multi-speaker Anonymization
Estimating Hourly Neighborhood Population Using Mobile Phone Data in the United States
An Efficient Network for Predicting Time-Varying Distributions
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
TensorX: Extensible API for Neural Network Model Design and Deployment
Hybrid Vision Transformer-Mamba Framework for Autism Diagnosis via Eye-Tracking Analysis
Maximum overlap area of a convex polyhedron and a convex polygon under translation
PIPA: A Unified Evaluation Protocol for Diagnosing Interactive Planning Agents
Two-Dimensional AoD and AoA Acquisition for Wideband mmWave Systems with Cross-Polarized MIMO
Embedding Functional Data: Multidimensional Scaling and Manifold Learning
Variance Reduction of Quadcopter Trajectory Tracking under Stochastic Wind Disturbances
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium
An Analysis of International Use of Robots for COVID-19
Private Prediction Sets
Channel-wise Distillation for Semantic Segmentation
Work-in-Progress: Function-as-Subtask API Replacing Publish/Subscribe for OS-Native DAG Scheduling
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples