yusuke1997/dblp-id-title huggingface dataset:
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
A Novel Approach for Network Attack Classification Based on Sequential Questions
Stochastic Lp string stability analysis in predecessor-following platoons under packet losses
The logic of contextuality
An AI-Assisted Skincare Routine Recommendation System in XR
Fake Review Detection Using Behavioral and Contextual Features
Sustainable Incentives for Mobile Crowdsensing
On Achievable Rate Regions for Half-Duplex Causal Cognitive Radio Channels
An hp Multigrid Approach for Tensor-Product Space-Time Finite Element Discretizations of the Stokes Equations
An Epistemic Human-Aware Task Planner which Anticipates Human Beliefs and Decisions
Inductive Learning for Rule Generation from Ontology
Three dimensional graph drawing with fixed vertices and one bend per edge
Attached and separated rotating flow over a finite height ridge
Enabling the Remote Acquisition of Digital Forensic Evidence through Secure Data Transmission and Verification
Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs
Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework
Data Rate Limitations for Stabilization of Uncertain Systems over Lossy Channels
DualSparse-MoE: Coordinating Tensor/Neuron-Level Sparsity with Expert Partition and Reconstruction
An Effective and Efficient Approach for Clusterability Evaluation
Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic Literature Review
Hyperbolicity, degeneracy, and expansion of random intersection graphs
Low dosage 3D volume fluorescence microscopy imaging using compressive sensing
An End-User Development approach for Mobile Web Augmentation
OMNIRank: Risk Quantification for P2P Platforms with Deep Learning
SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning
Quantifying and qualifying trust: Spectral decomposition of trust networks
Fully-Asynchronous Distributed Metropolis Sampler with Optimal Speedup
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention
A Comprehensive Review on the NILM Algorithms for Energy Disaggregation
Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces
Android Malware Detection: an Eigenspace Analysis Approach
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks
M 3 Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Privacy-Preserving P2P Energy Market on the Blockchain
An ACO-MPC Framework for Energy-Efficient and Collision-Free Path Planning in Autonomous Maritime Navigation
A Multi-Modal Approach Based on Large Vision Model for Close-Range Underwater Target Localization
Optimized Automatic Code Generation for Geometric Algebra Based Algorithms with Ray Tracing Application
Measures of Resilience to Cyber Contagion - An Axiomatic Approach for Complex Systems
Joint Link Scheduling and Brightness Control for Greening VLC-based Indoor Access Networks
Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models
Dynamical Modeling of Temperature and Smoke Evolution in a Thermal-Runaway Event of a Large-Format Lithium-ion Battery in a Mine Tunnel
Stochastic model-based minimization of weakly convex functions
Feature Enforcing PINN (FE-PINN): A Framework to Learn the Underlying-Physics Features Before Target Task
Saying Hello World with Edapt - A Solution to the TTC 2011 Instructive Case
Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
A Proof of Learning Rate Transfer under μP
Towards the Enhancement of Body Standing Balance Recovery by Means of a Wireless Audio-Biofeedback System
HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting
Solid-State Oxide-Ion Synaptic Transistor for Neuromorphic Computing
Modeling the emergence of a new language: Naming Game with hybridization
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
Monoidal computer II: Normal complexity by string diagrams
DENSER Cities: A System for Dense Efficient Reconstructions of Cities
Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
Spectral-Prior Guided Multistage Physics-Informed Neural Networks for Highly Accurate PDE Solutions
A Path Algebra for Multi-Relational Graphs
CHAOS: an SDN-based Moving Target Defense System
Biology and medicine in the landscape of quantum advantages
Level of Scientific Readiness with Ternary Data Types
Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face
Network-based consensus averaging with general noisy channels
MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving
Characterisation of limit measures of higher-dimensional cellular automata
Optimal coding for the deletion channel with small deletion probability
TARGET: Benchmarking Table Retrieval for Generative Tasks
Polynomial Inequalities and Optimal Stability of Numerical Integrators
Localisation via Deep Imagination: learn the features not the map
Detecting influenza outbreaks by analyzing Twitter messages
Fast and Simple (1+ε)Δ-Edge-Coloring of Dense Graphs
On the Inverse Power Flow Problem
On classification of strategic agents who can both game and improve
Building conceptual spaces for exploring and linking biomedical resources
Explicitly Solvable Continuous-time Inference for Partially Observed Markov Processes
Inference of Tampered Smart Meters with Validations from Feeder-Level Power Injections
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
Computing the Information Content of Trained Neural Networks
Context-Bounded Verification of Liveness Properties for Multithreaded Shared-Memory Programs
Note on the Number of Almost Ordinary Triangles
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
Research on the inverse kinematics prediction of a soft actuator via BP neural network
Distributed Traffic Signal Control for Maximum Network Throughput
Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice
Applications and Challenges of Sentiment Analysis in Real-life Scenarios
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation
Neural Network-based High-index Saddle Dynamics Method for Searching Saddle Points and Solution Landscape
Fishing in the Stream: Similarity Search over Endless Data
Graph Neural Networks for Protein-Protein Interactions - A Short Survey
Lifting CDCL to Template-based Abstract Domains for Program Verification
Actin automata with memory
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Learning-Based Modeling of Human-Autonomous Vehicle Interaction for Enhancing Safety in Mixed-Vehicle Platooning Control
Neural method for Explicit Mapping of Quasi-curvature Locally Linear Embedding in image retrieval
Impact of receiver reaction mechanisms on the performance of molecular communication networks
A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning
Using Domain Knowledge for Low Resource Named Entity Recognition
Myths and Realities about Online Forums in Open Source Software Development: An Empirical Study
Scalable Twin Neural Networks for Classification of Unbalanced Data
Differential Transformation of Nonlinear Power Flow Equations
The inverse moment problem for convex polytopes
Denture reinforcement via topology optimization
Using Semantic Similarity and Text Embedding to Measure the Social Media Echo of Strategic Communications
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
Poisoned Source Code Detection in Code Models
A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization
Sparse Code Formation with Linear Inhibition
Scoring Azure permissions with metric spaces
Towards Utility-based Prioritization of Requirements in Open Source Environments
On Hard-Decision Decoding of Product Codes
Hybrid Active Inference
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
Throughput Maximization in Two-hop DF Multiple-Relay Network with Simultaneous Wireless Information and Power Transfer
Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking
Achieving Realistic Cyclist Behavior in SUMO using the SimRa Dataset
Proportional Fair Resource Allocation on an Energy Harvesting Downlink - Part II: Algorithms
Multispectral Demosaicing via Dual Cameras
WiMAX Based 60 GHz Millimeter-Wave Communication for Intelligent Transport System Applications
FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
Aligning MLLM Benchmark With Human Preferences via Structural Equation Modeling
Target-Bench: Can World Models Achieve Mapless Path Planning with Semantic Targets?
Stability Exchange near Folds: Analysis of an end-loaded Elastica with a Lever Arm
An Ontology Based Modeling Framework for Design of Educational Technologies
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
On entropic and almost multilinear representability of matroids
Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions
Reservoir Computing using High Order Synchronization of Coupled Oscillators
Residual Moment Loss for Medical Image Segmentation
Safe2Harm: Semantic Isomorphism Attacks for Jailbreaking Large Language Models
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices
Numerical Matrix Decomposition and its Modern Applications: A Rigorous First Course
Explaining Black-box Models for Biomedical Text Classification
Equivalent External Noise Temperature of Time-Varying Receivers
ESCELL: Emergent Symbolic Cellular Language
Selection of Architecture Styles using Analytic Network Process for the Optimization of Software Architecture
Stability of Gaussian Process State Space Models
Sliding Mode Roll Control of Active Suspension Electric Vehicles
Efficient Context Management and Personalized User Recommendations in a Smart Social TV environment
Optimal Byzantine Resilient Convergence in Asynchronous Robot Networks
Pulse-Level Simulation of Crosstalk Attacks on Superconducting Quantum Hardware
An Adaptive Multi-channel P2P Video-on-Demand System using Plug-and-Play Helpers
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems
On the stability analysis of optimal state feedbacks as represented by deep neural models
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning
InfoGNN: End-to-end deep learning on mesh via graph neural networks
Robust satisfiability check and online control synthesis for uncertain systems under signal temporal logic specifications
Spatial and Spatio-Temporal Multidimensional Data Modelling: A Survey
Variational Gibbs inference for statistical model estimation from incomplete data
GATE: Greening At The Edge
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction
Smartphone-based Iris Recognition through High-Quality Visible Spectrum Iris Capture
Build An Influential Bot In Social Media Simulations With Large Language Models
The SDSS SkyServer: Public Access to the Sloan Digital Sky Server Data
A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
The Vampire and the FOOL
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
Using rule engine in self-healing systems and MAPE model
Numerical solution of internal-wave systems in the intermediate long wave and the Benjamin-Ono regimes
CUDA-Optimized real-time rendering of a Foveated Visual System
Convergence of the numerical approximations and well-posedness: Nonlocal conservation laws with rough flux
G 2 D: Boosting Multimodal Learning with Gradient-Guided Distillation
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers
Efficient synthesis of probabilistic quantum circuits with fallback
Differentiable Programming & Network Calculus: Configuration Synthesis under Delay Constraints
Federated Unlearning Model Recovery in Data with Skewed Label Distributions
Phase-Amplitude Reduction-Based Imitation Learning
Human-computer Interaction for Brain-inspired Computing Based on Machine Learning And Deep Learning: A Review
To Sense or Not To Sense
Efficient Learning of Distributed Linear-Quadratic Controllers
Noise Stability is computable and low dimensional
Adaptive Regulation with Global KL Guarantees
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Condensed Gradient Boosting
Projection method for quasiperiodic elliptic equations and application to quasiperiodic homogenization
Saliency-Guided Deep Learning for Bridge Defect Detection in Drone Imagery
New tools in GeoGebra offering novel opportunities to teach loci and envelopes
Subject integration with spreadsheets - Ignoring education is the greatest risk ever
Player Pressure Map - A Novel Representation of Pressure in Soccer for Evaluating Player Performance in Different Game Contexts
A Dynamic Network for Efficient Point Cloud Registration
Labeling NIDS Rules with MITRE ATT&CK Techniques: Machine Learning vs. Large Language Models
A Genetic Algorithm based Approach for Test Data Generation in Basis Path Testing
On CSP and the Algebraic Theory of Effects
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Crowdsourcing Lung Nodules Detection and Annotation
Time-domain investigation of a cylindrical acoustic external cloak
FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions
Generalization and Feature Attribution in Machine Learning Models for Crop Yield and Anomaly Prediction in Germany
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements
MDGAN: Boosting Anomaly Detection Using Multi-Discriminator Generative Adversarial Networks
Multi-Platform Budget Management in Ad Markets with Non-IC Auctions
Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMS
Validating quantum-supremacy experiments with exact and fast tensor network contraction
Can the Elliptic Billiard Still Surprise Us?
Image Representation Learning Using Graph Regularized Auto-Encoders
Effects of long-range links on metastable states in a dynamic interaction network
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Learning Adaptive Neural Teleoperation for Humanoid Robots: From Inverse Kinematics to End-to-End Control
Fault Classification in Cylinders Using Multilayer Perceptrons, Support Vector Machines and Guassian Mixture Models
RAG-Enabled Intent Reasoning for Application-Network Interaction
Loop Quasi-Invariant Chunk Motion by peeling with statement composition
Degradation mode estimation using reconstructed open circuit voltage curves from multi-year home storage field data
Parameterized Local Lexing
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images
A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
Faster construction of asymptotically good unit-cost error correcting codes in the RAM model
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
A General Model of Opinion Dynamics with Tunable Sensitivity
Novel design and analysis of generalized FE methods based on locally optimal spectral approximations
Optimal and Heuristic Approaches for Platooning Systems with Deadlines
D$^{\bf{3}}$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos
Identification of Deforestation Areas in the Amazon Rainforest Using Change Detection Models
User Model-Based Intent-Aware Metrics for Multilingual Search Evaluation
Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements
LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domain
Challenges of the Creation of a Dataset for Vision Based Human Hand Action Recognition in Industrial Assembly
An Encoding of Interaction Nets in OCaml
The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns
TNCSE: Tensor's Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data
Using Machine Learning and Natural Language Processing Techniques to Analyze and Support Moderation of Student Book Discussions
An Automated Deep Segmentation and Spatial-Statistics Approach for Post-Blast Rock Fragmentation Assessment
Thermodynamics of bidirectional associative memories
MedQARo: A Large-Scale Benchmark for Medical Question Answering in Romanian
Patterns of co-occurrent skills in UK job adverts
The Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems
On the Legal Compatibility of Fairness Definitions
Amplitude maximization in stable systems, Schur positivity, and some conjectures on polynomial interpolation
Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images
Image Colorization: A Survey and Dataset
Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs
Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent
History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
Age of Information Analysis in Shared Edge Computing Servers
Stochastic Subset Selection
Conditional Neural Style Transfer with Peer-Regularized Feature Transform
Differentially Private Exploration in Reinforcement Learning with Linear Representation
An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch
DiffFake: Exposing Deepfakes using Differential Anomaly Detection
Impact of Geometric Uncertainty on the Computation of Abdominal Aortic Aneurysm Wall Strain
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Casual Significance and Consistency
From Polynomials to Databases: Arithmetic Structures in Galois Theory
TAPAS: Two-pass Approximate Adaptive Sampling for Softmax
Hybrid Training for Vision-Language-Action Models
Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Faith in the Algorithm, Part 1: Beyond the Turing Test
Highly Accurate Global Padé Approximations of Generalized Mittag-Leffler Function and its Inverse
Distilling Adversarial Robustness Using Heterogeneous Teachers
A Fuzzy Edge Detector Driven Telegraph Total Variation Model For Image Despeckling
A computational framework for quantifying route diversification in road networks
Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge
An Empirical Study of JavaScript Inclusion Security Issues in Chrome Extensions
A LabVIEW based user-friendly nano-CT image alignment and 3D reconstruction platform
DAC-JAX: A JAX Implementation of the Descript Audio Codec
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
Nodal domain partition and the number of communities in networks
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd
Chronological age estimation of lateral cephalometric radiographs with deep learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On LLM-generated Logic Programs and their Inference Execution Methods
Structured 2D Representation of 3D Data for Shape Processing
On the Efficient Design of LSM Stores
When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation
Value Lens: Using Large Language Models to Understand Human Values
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data
Ensemble-based modeling abstractions for modern self-optimizing systems
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm
Demystifying Core Ranking in Pinterest Image Search
Dual Randomized Smoothing: Beyond Global Noise Variance
The automorphism group of a self-dual [72,36,16] code is not an elementary abelian group of order 8
Defining the symmetry of the universal semi-regular autonomous asynchronous systems
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction
Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves
Topology-aware Piecewise Linearization of the AC Power Flow through Generative Modeling
Boundary Output Feedback Stabilization of State Delayed Reaction-Diffusion PDEs
Towards Formalizing Reinforcement Learning Theory
Causality for Earth Science - A Review on Time-series and Spatiotemporal Causality Methods
Reducing Overconfidence in Spreadsheet Development
System Relaxation for Interpretable and Adaptive Network Control
Reduction of Necessary Conditions for the Variational Collision Avoidance Problem
In-Context Watermarks for Large Language Models
Boosted Adaptive Filters
Energy efficiency analysis of ammonia-fueled power systems for vehicles considering residual heat recovery
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Fingerprint recognition using standardized fingerprint model
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal
Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow
Feature Partitioning for Efficient Multi-Task Architectures
Unifying Distillation with Personalization in Federated Learning
Octopus-like Reaching Motion: A Perspective Inspired by Whipping
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces
Computational Concept of the Psyche (in Russian)
Interpretable transformed ANOVA approximation on the example of the prevention of forest fires
Comparing the robustness of modern no-reference image- and video-quality metrics to adversarial attacks
A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction
Self-Improving Diffusion Models with Synthetic Data
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
LLM Unlearning Without an Expert Curated Dataset
Molecular Property Prediction Based on Graph Structure Learning
Preventing Shortcuts in Adapter Training via Providing the Shortcuts