yusuke1997/dblp-id-title huggingface dataset:
A Framework for Providing E-Services to the Rural Areas using Wireless Ad Hoc and Sensor Networks
Artificial-Noise-Aided Secure Channel with a Full-duplex Source
ABC-FL: Anomalous and Benign client Classification in Federated Learning
Hardware Fingerprinting Using HTML5
A mixed finite-element, finite-volume, semi-implicit discretisation for atmospheric dynamics: Spherical geometry
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction
Embedded Planogram Compliance Control System
Achieving SK Capacity in the Source Model: When Must All Terminals Talk?
From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models
Physics-based Reconstruction Methods for Magnetic Resonance Imaging
A Review of Power Aware Routing Protocols in Wireless Sensor Networks
Modeling the impact of extreme summer drought on conventional and renewable generation capacity: methods and a case study on the Eastern U.S. power system
Deep Gaussian Processes: A Survey
Adversarial Network Traffic: Toward Evaluating the Robustness of Deep Learning Based Network Traffic Classification
Improved Image Wasserstein Attacks and Defenses
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
Efficient Tabling of Structured Data with Enhanced Hash-Consing
Sampling Techniques in Bayesian Target Encoding
DiM: f -Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation
PAPRLE (Plug-And-Play Robotic Limb Environment): A Modular Ecosystem for Robotic Limbs
Scaling Traffic Insights with AI and Language Model-Powered Camera Systems for Data-Driven Transportation Decision Making
Data-driven Methods of Extracting Text Structure and Information Transfer
Semi-Infinite Programming for Collision-Avoidance in Optimal and Model Predictive Control
ADVENT: Attack/Anomaly Detection in VANETs
Modality Attention for End-to-End Audio-visual Speech Recognition
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering
Machine Learning Enhanced Hankel Dynamic-Mode Decomposition
VoteNet++: Registration Refinement for Multi-Atlas Segmentation
Incentive Mechanism in the Sponsored Content Market with Network Effect
Enhancing Marine Debris Acoustic Monitoring by Optical Flow-Based Motion Vector Analysis
Target Reaching Behaviour for Unfreezing the Robot in a Semi-Static and Crowded Environment
Condition number bounds for IETI-DP methods that are explicit in h and p
More Efficient Stealth Address Protocol
Phase Transitions with Structured Sparsity
Incentive Engineering for Concurrent Games
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition
LLM Internal States Reveal Hallucination Risk Faced With a Query
Shared Latent Representation for Joint Text-to-Audio-Visual Synthesis
DeepMutation: A Neural Mutation Tool
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation
Doubly Perturbed Task-Free Continual Learning
Phase Transition in Distance-Based Phylogeny Reconstruction
I Can See Clearly Now : Image Restoration via De-Raining
An overview of mathematical issues arising in the Geometric complexity theory approach to VP v.s. VNP
Motion Flow Matching for Human Motion Synthesis and Editing
Out of distribution detection for skin and malaria images
TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation
Product Sequencing and Pricing under Cascade Browse Model
Towards a New Extracting and Querying Approach of Fuzzy Summaries
Rate Optimal Binary Linear Locally Repairable Codes with Small Availability
Sub-Nyquist USF Spectral Estimation: K Frequencies with 6K + 4 Modulo Samples
Capacity Achieving Peak Power Limited Probability Measures: Sufficient Conditions for Finite Discreteness
Autonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots with Experimental Demonstration
Reinforcement Learning based Distributed Control of Dissipative Networked Systems
Equivalence of topological color codes (without translational symmetry) to surface codes
Neural networks for learning personality traits from natural language
Protecting gender and identity with disentangled speech representations
Learned upper bounds for the Time-Dependent Travelling Salesman Problem
Inverse Reinforcement Learning via Convex Optimization
Plotting Markson's 'Mistress'
A Convex Formulation of Compliant Contact between Filaments and Rigid Bodies
A Classical Architecture For Digital Quantum Computers
URSID: Using formalism to Refine attack Scenarios for vulnerable Infrastructure Deployment
Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns
Machine Intelligence at the Edge with Learning Centric Power Allocation
Deep feature fusion for self-supervised monocular depth prediction
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations and for Package Delivery
Anchoring Code Understandability Evaluations Through Task Descriptions
Locality in Online Algorithms
The Second Reactive Synthesis Competition (SYNTCOMP 2015)
Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval
On the dynamic compressibility of sets
BeeCup: A Bio-Inspired Energy-Efficient Clustering Protocol for Mobile Learning
Improving Communication Patterns in Polyhedral Process Networks
Integrating Large Language Models For Monte Carlo Simulation of Chemical Reaction Networks
An Interior Penalty Discontinuous Galerkin Method for an Interface Model of Flow in Fractured Porous Media
Performance Comparison of Two Clipping Based Filtering Methods for PAPR Reduction in OFDM Signal
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
Control Barrier Functions With Unmodeled Dynamics Using Integral Quadratic Constraints
Testing Lotka's Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence
DQRM: Deep Quantized Recommendation Models
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
Exploiting Combination Techniques in Random Access MAC Protocols: Enhanced Contention Resolution ALOHA
Using Jupyter for reproducible scientific workflows
Adaptive Communication Bounds for Distributed Online Learning
Opportunistic Interference Management for Multicarrier systems
Connecting the Dots: Discovering the "Shape" of Data
Digital staining in optical microscopy using deep learning - a review
Tweeting about journal articles: Engagement, marketing or just gibberish?
Pure Data and INScore: Animated notation for new music
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition
BOgen: Generating Part-Level 3D Designs Based on User Intention Inference through Bayesian Optimization and Variational Autoencoder
EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection
A discontinuous Galerkin scheme for a large class of elliptic equations
Symbolic-Numeric Parameter Estimation Software Package in Julia
Blockchain for IOT-based NANs and HANs in Smart Grid
Data-Driven Optimal Control Using Perron-Frobenius Operator
Safety Game: Balancing Safe and Informative Conversations with Blackbox Agentic AI using LP Solvers
SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation
Enhancing ADHD Diagnosis with EEG: The Critical Role of Preprocessing and Key Features
Effective approaches to disaster evacuation during a COVID-like pandemic
Extracting Symbolic Sequences from Visual Representations via Self-Supervised Learning
Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection
EH from V2X Communications: the Price of Uncertainty and the Impact of Platooning
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
Defining Energy Indicators for Impact Identification on Aerospace Composites: A Physics-Informed Machine Learning Perspective
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization
Randomized Rounding without Solving the Linear Program
Simultaneous Energy Harvesting and Bearing Fault Detection using Piezoelectric Cantilevers
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
ETF Portfolio Construction via Neural Network trained on Financial Statement Data
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
Stochastic Gradient Descent for Additive Nonparametric Regression
Computing Time-varying Network Reliability using Binary Decision Diagrams
Disentangled Deep Autoencoding Regularization for Robust Image Classification
SparseAlign: A Fully Sparse Framework for Cooperative Object Detection
Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer
Cantor-solus and Cantor-multus Distributions
Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration
Bandgap optimization in combinatorial graphs with tailored ground states: Application in Quantum annealing
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels
Efficiently Transforming Neural Networks into Decision Trees: A Path to Ground Truth Explanations with RENTT
Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response
BiLingUNet: Image Segmentation by Modulating Top-Down and Bottom-Up Visual Processing with Referring Expressions
The Complexity of Scheduling for p-norms of Flow and Stretch
SpaceRaceEdu: developing an educational multi-player videogame for self-study and assessment
Visual Sparse Steering: Improving Zero-shot Image Classification with Sparsity Guided Steering Vectors
Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
Training chord recognition models on artificially generated audio
Exact nonlinear state estimation
Topology optimization for considering distortion in additive manufacturing
A Brief Note on Single Source Fault Tolerant Reachability
Cross-modal Face- and Voice-style Transfer
A T Step Ahead Optimal Target Detection Algorithm for a Multi Sensor Surveillance System
Optimized Resource Provisioning and Operation Control for Low-power Wide-area IoT Networks
Average case complexity of DNFs and Shannon semi-effect for narrow subclasses of boolean functions
Incremental Learning in Person Re-Identification
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Stochastic gradient descent for linear least squares problems with partially observed data
Deep learning improved by biological activation functions
Temperature Illusions in Mixed Reality using Color and Dynamic Graphics
ALICE: An Interpretable Neural Architecture for Generalization in Substitution Ciphers
Intelligent Decision Method for Main Control Parameters of Tunnel Boring Machine based on Multi-Objective Optimization of Excavation Efficiency and Cost
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection
Follow-Me in Micro-Mobility with End-to-End Imitation Learning
BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation
Generating Similar Graphs From Spherical Features
From Human Hands to Robotic Limbs: A Study in Motor Skill Embodiment for Telemanipulation
Enhanced Semantic Segmentation for Large-Scale and Imbalanced Point Clouds
Motion planning for highly-dynamic unconditioned reflexes based on chained Signed Distance Functions
Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
Academic Freedom and International Research Collaboration: A Longitudinal Analysis of Global Network Evolution
Analysis of the Impact of an Execution Algorithm with an Order Book Imbalance Strategy on a Financial Market Using an Agent-based Simulation
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
An analysis of community structure in Brazilian political topic-based Twitter networks
Proceedings ML Family Workshop / OCaml Users and Developers workshops, ML/OCAML 2016, Nara, Japan, September 22-23, 2016
Visual Spatial Tuning
Merit Network Telescope: Processing and Initial Insights from Nearly 20 Years of Darknet Traffic for Cybersecurity Research
From Deep to Shallow: Transformations of Deep Rectifier Networks
Rationale awareness for quality assurance in iterative human computation processes
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality
Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization
A Simple Method to Enhance Pre-trained Language Models with Speech Tokens for Classification
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
Instantiation of Jerboa Rule Schemes, a Set-based Explanation
The Solidarity Cover Problem
Efficient Learning of a Linear Dynamical System with Stability Guarantees
Virtual element approximation of eigenvalue problems
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion
Roborobo! a Fast Robot Simulator for Swarm and Collective Robotics
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
Build Electronic Arabic Lexicon
Algorithm for Evolutionarily Stable Strategies Against Pure Mutations
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data
A new efficient hyperelastic finite element model for graphene and its application to carbon nanotubes and nanocones
Handling Constraints in Combinatorial Interaction Testing in the presence of Multi Objective Particle Swarm and Multithreading
Space Time MUSIC: Consistent Signal Subspace Estimation for Wide-band Sensor Arrays
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions
Discriminating and Identifying Codes in the Binary Hamming Space
Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Numerical simulation of liver perfusion: from CT scans to FE model
Automatic Classification of X-rated Videos using Obscene Sound Analysis based on a Repeated Curve-like Spectrum Feature
Scalable Reinforcement Learning for Virtual Machine Scheduling
Implicitization of Biquadratic Bézier Triangle and Quadrilateral Surfaces
Nearly-Linear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems
Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning
Object Detection on Single Monocular Images through Canonical Correlation Analysis
Passlab: A Password Security Tool for the Blue Team
Can Cascades be Predicted?
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus
Fast computation of all pairs of geodesic distances
Sparse Bayesian Optimization
GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science
Bionetta: Efficient Client-Side Zero-Knowledge Machine Learning Proving
The SAME score: Improved cosine based bias score for word embeddings
Retrieval Based Time Series Forecasting
Personalized Sleep Prediction via Deep Adaptive Spatiotemporal Modeling and Sparse Data
SLOFetch: Compressed-Hierarchical Instruction Prefetching for Cloud Microservices
Learning Latent Transmission and Glare Maps for Lens Veiling Glare Removal
Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection
Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models
Biological effects and equivalent doses in radiotherapy: a software solution
Secure solutions for Smart City Command Control Centre using AIOT
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition
Polynomial approximations for the matrix logarithm with computation graphs
Intuition to Evidence: Measuring AI's True Impact on Developer Productivity
Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank and Spectral Distribution Weighting
PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control
Compute-Forward Multiple Access (CFMA): Practical Code Design
Variational f-divergence Minimization
A machine learning model for identifying cyclic alternating patterns in the sleeping brain
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
Optimal Spiking Brain Compression: Improving One-Shot Post-Training Pruning and Quantization for Spiking Neural Networks
Nested Lattice Codes for Gaussian Two-Way Relay Channels
Artificial intelligence based prediction on lung cancer risk factors using deep learning
Teach Multimodal LLMs to Comprehend Electrocardiographic Images
A Review on Drivers Red Light Running and Turning Behaviour Prediction
Reasoning about Body-Parts Relations for Sign Language Recognition
Early Work on Efficient Patching for Coordinating Edge Applications
RIS-THz Wireless Communication with Random Phase Noise and Misaligned Transceiver
Quantum Diffie-Hellman key exchange
Beyond log 2 (T) Regret for Decentralized Bandits in Matching Markets
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
Passenger Flow Predictions at Sydney International Airport: A Data-Driven Queuing Approach
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
atTRACTive: Semi-automatic white matter tract segmentation using active learning
SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang
Quantitative Evaluation of Performance and Validity Indices for Clustering the Web Navigational Sessions
Compressed Sensing Bayes Risk Minimization for Under-determined Systems via Sphere Detection
DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models
Grand Challenge: Mediating Between Confirmatory and Exploratory Research Cultures in Health Sciences and Visual Analytics
Counterfactual Probabilistic Diffusion with Expert Models
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
What s in My LiDAR Odometry Toolbox?
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics
Uniform error estimate of an asymptotic preserving scheme for the Lévy-Fokker-Planck equation
Cascaded Incremental Nonlinear Dynamic Inversion Control for MAV Disturbance Rejection
Truth Revelation in Approximately Efficient Combinatorial Auctions
PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits
Best Arm Identification with Minimal Regret
Bidirectional Biometric Authentication Using Transciphering and (T)FHE
Reliability and Preventive Maintenance of Ducted Wind Turbines
SMLP: Symbolic Machine Learning Prover (User Manual)
Lightweight Channel Codes for ISI Mitigation in Molecular Communication between Bionanosensors
Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
Hierarchical Bayesian Models with Factorization for Content-Based Recommendation
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior
Adversarial Examples in Environment Perception for Automated Driving (Review)
Saturating Auto-Encoder
Module-conditioned distribution of quantum circuits
A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
New Common Proper-Motion Pairs From the PPMX Catalog
The Synthetic Imputation Approach: Generating Optimal Synthetic Texts For Underrepresented Categories In Supervised Classification Tasks
On Quantification of Anchor Placement
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification
Dynamics and Control of Vision-Aided Multi-UAV-tethered Netted System Capturing Non-Cooperative Target
Sparsely Connected Convolutional Networks
Reachability via Compositionality in Petri nets
Quantifying Assurance in Learning-enabled Systems
A faster multipole Legendre-Chebyshev transform
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching
XRZoo: A Large-Scale and Versatile Dataset of Extended Reality (XR) Applications
Information and Energy Transfer with Experimentally-Sampled Harvesting Functions
A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
On the universality of neural encodings in CNNs
A new robust feature selection method using variance-based sensitivity analysis
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Training-Free Generation of Diverse and High-Fidelity Images via Prompt Semantic Space Optimization
LP Rounding and Combinatorial Algorithms for Minimizing Active and Busy Time
Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks
UStore: A Distributed Storage With Rich Semantics
Auto-Evaluation with Few Labels through Post-hoc Regression
Interaction Theory of Hazard-Target System
Prosocial Norm Emergence in Multiagent Systems
Small Object Detection with YOLO: A Performance Analysis Across Model Versions and Hardware
Object Manipulation using Robotic Hands with Varying Degrees of Grasp Knowledge
3D induction log modelling with integral equation method and domain decomposition preconditioning
An Affine moment invariant for multi-component shapes
Group Anomaly Detection using Deep Generative Models
GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data
How to Increase Interest in Studying Functional Programming via Interdisciplinary Application
PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant Objective
Quantum Encryption in Phase Space using Displacement Operator for QPSK Data Modulation
Linear Physical-layer Network Coding in Galois Field for Rayleigh fading 2-Way Relay Channels
Exploring Modular Mobility: Industry Advancements, Research Trends, and Future Directions on Modular Autonomous Vehicles
Regularizing Reasons for Outfit Evaluation with Gradient Penalty
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car
A Body Area Network through Wireless Technology
DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
Trivial Trojans: How Minimal MCP Servers Enable Cross-Tool Exfiltration of Sensitive Data
Environment-Dependent Components Identification of Behind-the-Meter Resources via Inverse Optimization
Design and Processing of Invertible Orientation Scores of 3D Images for Enhancement of Complex Vasculature
Attack-Defense Trees with Offensive and Defensive Attributes (with Appendix)
Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach