yusuke1997/dblp-id-title huggingface dataset:
Denial of Service Attack: Analysis of Network Traffic Anormaly using Queuing Theory
Robust Shape Estimation for 3D Deformable Object Manipulation
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware
Toward interoperability for the Internet of Things with meta-hubs
MOSS: A Large-scale Open Microscopic Traffic Simulation System
SoK: Security and Privacy of AI Agents for Blockchain
A novel Skill-based Programming Paradigm based on Autonomous Playing and Skill-centric Testing
Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
A Load Balanced Recommendation Approach
Exchanging Secrets without Using Cryptography
Mechanisms and Attributes of Echo Chambers in Social Media
Many-fields Packet Classification Using R-Tree and Field Concatenation Technique
MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks
TrafFormer: A Transformer Model for Predicting Long-term Traffic
Method Monte-Carlo for solving of non-linear integral equations
A Preliminary Study of RAG for Taiwanese Historical Archives
Zeroing neural dynamics solving time-variant complex conjugate matrix equation
Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Cognitive Internet of Things: A New Paradigm beyond Connection
Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences
Using Artificial Intelligence for the Automation of Knitting Patterns
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
Visual Notations in Container Orchestrations: An Empirical Study with Docker Compose
ANOSY: Approximated Knowledge Synthesis with Refinement Types for Declassification
OpportunityFinder: A Framework for Automated Causal Inference
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms
Extended Serial Safety Net: A Refined Serializability Criterion for Multiversion Concurrency Control
Circling Back to Recurrent Models of Language
Modeling Wildfire Perimeter Evolution using Deep Neural Networks
Structure-preserving schemes conserving entropy and kinetic energy
Differentially Private Federated Learning without Noise Addition: When is it Possible?
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation
Iterative Feature Exclusion Ranking for Deep Tabular Learning
deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile
Automated Bug Generation in the era of Large Language Models
Poisoning the Search Space in Neural Architecture Search
Quantum Stochastic Processes and the Modelling of Quantum Noise
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
Combining configuration and recommendation to define an interactive product line configuration approach
Stochastic Parameterization of Column Physics using Generative Adversarial Networks
Using quantum annealing to generate test cases for cyber-physical systems
Estimating profitable price bounds for prescriptive price optimization
Analytical Formulation of the Block-Constrained Configuration Model
Topology Control and Routing in Mobile Ad Hoc Networks with Cognitive Radios
Learning from Exemplars and Prototypes in Machine Learning and Psychology
Machine learning spectral functions in lattice QCD
Modeling Influencer Marketing Campaigns In Social Networks
Secured Ontology Mapping
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
MorphoActivation: Generalizing ReLU activation function by mathematical morphology
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL)
Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media-Centered Review
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Which differences can be expected when two universities in the Leiden Ranking are compared? Some benchmarks for institutional research evaluations
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection
Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science
Probabilistic Self-supervised Learning via Scoring Rules Minimization
CtrlRAG: Black-box Adversarial Attacks Based on Masked Language Models in Retrieval-Augmented Language Generation
TADA: Taxonomy Adaptive Domain Adaptation
Synthetic Data - A Privacy Mirage
Herder Ants: Ant Colony Optimization with Aphids for Discrete Event-Triggered Dynamic Optimization Problems
Robust Biharmonic Skinning Using Geometric Fields
A Longitudinal Study of Child Wellbeing Assessment via Online Interactions with a Social Robots
Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed
Technical Report: Match-reference regular expressions and lenses
Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions
Kernelized Complete Conditional Stein Discrepancy
TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice
Power System Recovery Coordinated with (Non-)Black-Start Generators
Implementing Bayesian Networks with Embedded Stochastic MRAM
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Manifold Function Encoder: Identifying Different Functions Defined on Different Manifolds
Deriving a Hoare-Floyd logic for non-local jumps from a formulae-as-types notion of control
Hydra Battles and AC Termination, Revisited
Deep Instance Segmentation with High-Resolution Automotive Radar
Joint Scheduling and Coding Over Lossy Paths With Delayed Feedback
Numerical Methods for Mean Field Games and Mean Field Type Control
Consensus-based approach to peer-to-peer electricity markets with product differentiation
Speech enhancement using ego-noise references with a microphone array embedded in an unmanned aerial vehicle
Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics
Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features
Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments
Killing the Password and Preserving Privacy with Device-Centric and Attribute-based Authentication
Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression
Look who's watching: platform labels and user engagement on state-backed media outlets
Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks
Attention-Aware Multi-View Pedestrian Tracking
A Decomposition Method for Finite-Time Stabilization of Bilinear Systems with Applications to Parabolic and Hyperbolic Equations
Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of English-Japanese Biomedical Adaptation
Exploring trends in audio mixes and masters: Insights from a dataset analysis
The TAAROA Project Specification
Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets
Time-dependent density estimation using binary classifiers
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Generalized framework for admissibility preserving Lax-Wendroff Flux Reconstruction for hyperbolic conservation laws with source terms
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing
Numerical challenges in the simulation of 1D bounded low-temperature plasmas with charge separation in various collisional regimes
StratMed: Relevance Stratification for Low-resource Medication Recommendation
Ghost stabilisation for cut finite element exterior calculus
Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
BS3D: Building-scale 3D Reconstruction from RGB-D Images
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems
Dynamic Load Balancing for PIC code using Eulerian/Lagrangian partitioning
Bound on Peak-to-Average Power Ratio with Moment and Reduction Method
Training-Free Semantic Segmentation via LLM-Supervision
Empirical fixed point bifurcation analysis
Combating Human Trafficking with Deep Multimodal Models
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning
Speech Command Recognition Using LogNNet Reservoir Computing for Embedded Systems
Block CUR : Decomposing Large Distributed Matrices
BWT for string collections
Secure and Privacy Preserving Consensus for Second-order Systems Based on Paillier Encryption
Chalcogenide optomemristors for multi-factor neuromorphic computation
Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms
AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation
Explaining Hate Speech Classification with Model Agnostic Methods
A simple layered-wheel-like construction
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Integration of Relational and Graph Databases Functionally
Recognition of convolutional neural network based on CUDA Technology
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes
State of Health Estimation of Lithium-Ion Batteries in Vehicle-to-Grid Applications Using Recurrent Neural Networks for Learning the Impact of Degradation Stress Factors
Data-Driven Newton Raphson Controller Based on Koopman Operator Theory
An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator
Learning Skills from Demonstrations: A Trend from Motion Primitives to Experience Abstraction
Hierarchical Concept Discovery Models: A Concept Pyramid Scheme
A Simple Method for the Performance Analysis of Fluid Antenna Systems under Correlated Nakagami-m Fading
Student self-management, academic achievement: Exploring the mediating role of self-efficacy and the moderating influence of gender insights from a survey conducted in 3 universities in America
CaGR-RAG: Context-aware Query Grouping for Disk-based Vector Search in RAG Systems
Multimodal Continuation-style Architectures for Human-Robot Interaction
Sound Generation by a Turbulent Flow in Musical Instruments - Multiphysics Simulation Approach -
PMIPv6 Integrated with MIH for Flow Mobility Management: a Real Testbed with Simultaneous Multi-Access in Heterogeneous Mobile Networks
Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model
MS-Temba : Multi-Scale Temporal Mamba for Efficient Temporal Action Detection
Preconditioned Central Moment Lattice Boltzmann Method on a Rectangular Lattice Grid for Accelerated Computations of Inhomogeneous Flows
A Study on the Manifestation of Trust in Speech
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
Diffusion Models for Smarter UAVs: Decision-Making and Modeling
Domain-adaptation of spherical embeddings
Fault-Tolerant Backup Clustering Algorithm for Smart Connected Underwater Sensor Networks
EcoMobiFog - Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications
The kernel-balanced equation for deep neural networks
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models
Coordinated Dispatch of Energy Storage Systems in the Active Distribution Network: A Complementary Reinforcement Learning and Optimization Approach
Sorting an Array Using the Topological Sort of a Corresponding Comparison Graph
Sharp L ∞ estimates of HDG methods for Poisson equation II: 3D
A stochastic model of human visual attention with a dynamic Bayesian network
Tasks Scheduling Technique Using League Championship Algorithm for Makespan Minimization in IaaS Cloud
Bangla Hate Speech Classification with Fine-tuned Transformer Models
Simple Image Description Generator via a Linear Phrase-Based Approach
Norms and Sanctions as a Basis for Promoting Cybersecurity Practices
Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation
Underwater Autonomous Tank Cleaning Rover
A Deconfounding Framework for Human Behavior Prediction: Enhancing Robotic Systems in Dynamic Environments
Towards improving the e-learning experience for deaf students: e-LUX
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning
Dense Crowds Detection and Surveillance with Drones using Density Maps
Solving the minimum sum coloring problem via binary quadratic programming
Combining LLMs with Logic-Based Framework to Explain MCTS
Spatial search in a honeycomb network
A Local Search Modeling for Constrained Optimum Paths Problems (Extended Abstract)
Understanding the Dataset Practitioners Behind Large Language Model Development
Automatic Polyp Segmentation using U-Net-ResNet50
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm
A Digital Ecosystem for Animal Movement Science: Making animal movement datasets, data-linkage techniques, methods, and environmental layers easier to find, interpret, and analyze
VICI: VLM-Instructed Cross-view Image-localisation
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
Exploring Situated Stabilities of a Rhythm Generation System through Variational Cross-Examination
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning
MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images
Separation of Unconscious Robots with Obstructed Visibility
LoByITFL: Low Communication Secure and Private Federated Learning
Multi-scale Time-stepping of Partial Differential Equations with Transformers
Eurolab-4-HPC Long-Term Vision on High-Performance Computing
Performance Analysis and Efficient Execution on Systems with multi-core CPUs, GPUs and MICs
Analysis on the Influence of Synchronization Error on Fixed-filter Active Noise Control
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings
Deep Jointly-Informed Neural Networks
MARCA: Mamba Accelerator with ReConfigurable Architecture
Flexible Morphing Aerial Robot with Inflatable Structure for Perching-based Human-Robot Interaction
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer
Smoothed Q-learning
Optimizing electrode positions for 2D Electrical Impedance Tomography sensors using deep learning
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation
High-order finite element methods for three-dimensional multicomponent convection-diffusion
Explaining the Lack of Mesh Convergence of Inviscid Adjoint Solutions Near Solid Walls for Subcritical Flows
Lies We Can Trust: Quantifying Action Uncertainty with Inaccurate Stochastic Dynamics through Conformalized Nonholonomic Lie Groups
AdaGCN: Adaptive Boosting Algorithm for Graph Convolutional Networks on Imbalanced Node Classification
Low-Latency Successive-Cancellation List Decoders for Polar Codes with Multi-bit Decision
New Bounds on Quotient Polynomials with Applications to Exact Divisibility and Divisibility Testing of Sparse Polynomials
Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis
Reversible cyclic codes over F q + u F q
Wireless Access to Ultimate Virtual Reality 360-Degree Video At Home
Wide-Baseline Relative Camera Pose Estimation with Directional Learning
Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks
Some Remarks on Lower Bounds for Queues Machines (Preliminary Report)
Interpreting deep learning output for out-of-distribution detection
Performance Study of Low Inertia Magnetorheological Actuators for Kinesthetic Haptic Devices
IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform
RECOApy: Data recording, pre-processing and phonetic transcription for end-to-end speech-based applications
Sampling Constraint Satisfaction Solutions in the Local Lemma Regime
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis
FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles
Complexity Reduction for TSO-DSO Coordination: Flexibility Aggregation vs. Distributed Optimization
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection
Mutually Exclusive Rules in LogicWeb
Projective toric codes
Balancing the Byline: Exploring Gender and Authorship Patterns in Canadian Science Publishing Journals
Whom Are You Going to Call?: Determinants of @-Mentions in GitHub Discussions
LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning
Neural Triangular Transport Maps: A New Approach Towards Sampling in Lattice QCD
D-CNN and VQ-VAE Autoencoders for Compression and Denoising of Industrial X-ray Computed Tomography Images
A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing
Dynamic R&D Competition under Uncertainty and Strategic Disclosure
Dynamic Layer Detection of a Thin Silk Cloth using DenseTact Optical Tactile Sensors
Connectivity in Social Networks
Thresholding Data Shapley for Data Cleansing Using Multi-Armed Bandits
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
Solving Minimum Enclosing Ball with Outliers: Algorithm, Implementation, and Application
Leveraging Angle of Arrival Estimation against Impersonation Attacks in Physical Layer Authentication
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
Multi-resolution community detection based on generalized self-loop rescaling strategy
Wave based damage detection in solid structures using artificial neural networks
Sparse Depth Completion with Semantic Mesh Deformation Optimization
Casual Source Code Editing
ClusterRCA: Network Failure Diagnosis in HPC Systems Using Multimodal Data
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
ParkingSticker: A Real-World Object Detection Dataset
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs
Mining Behavioral Groups in Large Wireless LANs
Learning Interpretable Disentangled Representations using Adversarial VAEs
An Approximation Algorithm for Multi Allocation Hub Location Problems
Statistical Physics of Signal Estimation in Gaussian Noise: Theory and Examples of Phase Transitions
Ethereum ECCPoW
Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks
Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models
Cognitive Explainers of Graph Neural Networks Based on Medical Concepts
Parsing Linear-Context Free Rewriting Systems with Fast Matrix Multiplication
Simulation of Two-Qubit Grover Algorithm in MBQC with Universal Blind Quantum Computation
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations
A projection argument for differential inclusions, with applications to persistence of mass-action kinetics
A Classical Quadratic Speedup for Planted k XOR
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration
Predicting Exercise Adherence and Physical Activity in Older Adults Based on Tablet Engagement: A Post-hoc Study
Quantum Text Classifier - A Synchronistic Approach Towards Classical and Quantum Machine Learning
A Posteriori error estimates for Darcy-Forchheimer's problem coupled with the convection-diffusion-reaction equation
Device-Independent Quantum Secure Direct Communication with User Authentication
ViLaS: Integrating Vision and Language into Automatic Speech Recognition
Analysis of incremental augmented affine projection algorithm for distributed estimation of complex signals
Automatic Sound Event Detection and Classification of Great Ape Calls Using Neural Networks
General Interpolation and Strong Amalgamation for Contiguous Arrays
A convergence framework for energy minimisation of linear self-adjoint elliptic PDEs in nonlinear approximation spaces
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
Implicitization of rational hypersurfaces via linear syzygies: a practical overview
Active Data Sampling and Generation for Bias Remediation
Ten-tier and multi-scale supplychain network analysis of medical equipment: Random failure and intelligent attack analysis
SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
Take up DNSSEC When Needed
Hardness of braided quantum circuit optimization in the surface code
Annotations for Exploring Food Tweets From Multiple Aspects
Multi-feature Compensatory Motion Analysis for Reaching Motions Over a Discretely Sampled Workspace
Scaling Face Interaction Graph Networks to Real World Scenes
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis
Scalable Support Vector Machine for Semi-supervised Learning
Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
Natural Language Processing Advancements By Deep Learning: A Survey