yusuke1997/dblp-id-title huggingface dataset:
NAIST Simultaneous Speech Translation System for IWSLT 2024
Improved Bounds for the Oriented Radius of Mixed Multigraphs
Efficient q-Integer Linear Decomposition of Multivariate Polynomials
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
Risk Minimization and Optimal Derivative Design in a Principal Agent Game
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition
An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems
Logical locality entails frugal distributed computation over graphs
From Cognition to Computation: A Comparative Review of Human Attention and Transformer Architectures
A Rank Based Replacement Policy for Multimedia Server Cache Using Zipf-Like Law
Towards General Purpose and Geometry Preserving Single-View Depth Estimation
Patch-based Brain Age Estimation from MR Images
A Formulation of Recursive Self-Improvement and Its Possible Efficiency
Solving systems of transcendental equations involving the Heun functions
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Comparative Analysis of Multiple Deep CNN Models for Waste Classification
GPU-based Ising Computing for Solving Balanced Min-Cut Graph Partitioning Problem
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
Enhancing Financial Sentiment Analysis with Expert-Designed Hint
Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
Review of Inferring Latent Attributes from Twitter
Information-gain computation
Formal Analysis of an E-Health Protocol
Optimality of orders one to three and beyond: characterization and evaluation complexity in constrained nonconvex optimization
Deep Neural Networks Abstract Like Humans
Is your chatbot GDPR compliant? Open issues in agent design
Use of Artificial Intelligence Techniques / Applications in Cyber Defense
A Tutorial on Network Security: Attacks and Controls
Magnetic Ball Chain Robots for Cardiac Arrhythmia Treatment
Mu-synthesis PID Control of Full-Car with Parallel Active Link Suspension Under Variable Payload
Human- vs. AI-generated tests: dimensionality and information accuracy in latent trait evaluation
Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems
A community-driven optimization framework for redrawing school attendance boundaries
SmartGridToolbox: A Library for Simulating Modern and Future Electricity Networks
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond
An Aiding Tool for Building Design Generation, Thermal Assessment and Optimization - EnergyPlus Interaction Overview
Passive Optical Networking for 5G and Beyond 5G Low-Latency Mobile Fronthauling Services
Knowledge Distillation from Single to Multi Labels: an Empirical Study
New Guidelines For Spreadsheets
Room dimensions and absorption inference from room transfer function via machine learning
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?
Interleaving Syntax and Semantics in an Efficient Bottom-Up Parser
Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach
Student as an Inherent Denoiser of Noisy Teacher
A Zoned Storage Optimized Flash Cache on ZNS SSDs
Automatic Discovery of Visual Circuits
SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
Multi-hop Cooperative Wireless Networks: Diversity Multiplexing Tradeoff and Optimal Code Design
E 2 TAD: An Energy-Efficient Tracking-based Action Detector
Incorporating Fairness in Neighborhood Graphs for Fair Spectral Clustering
Automated Romberg Test: Leveraging a CNN and Centre of Mass Analysis for Sensory Ataxia Diagnosis
Kinetic Mining in Context: Few-Shot Action Synthesis via Text-to-Motion Distillation
The Role of Calculi in Uncertain Inference Systems
Similarity-based prediction for channel mapping and user positioning
Robust image stitching with multiple registrations
On the Effects of Knowledge-Augmented Data in Word Embeddings
Towards Explainable Visual Anomaly Detection
Electroencephalogram-based Multi-class Decoding of Attended Speakers' Direction with Audio Spatial Spectrum
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks
Equilibrium and stiffness study of clustered tensegrity structures with the consideration of pulley sizes
A unified view of generative models for networks: models, methods, opportunities, and challenges
Training Input-Output Recurrent Neural Networks through Spectral Methods
Knowledge acquisition for dialogue agents using reinforcement learning on graph representations
Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions
IBIA: Bayesian Inference via Incremental Build-Infer-Approximate operations on Clique Trees
Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations
BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series
Finding statistically significant communities in networks
Weighted Fuzzy-Based PSNR for Watermarking
Homograph Attacks on Maghreb Sentiment Analyzers
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
Agentic Workflow for Education: Concepts and Applications
Fully Inductive Node Representation Learning via Graph View Transformation
Retrial Queueing Models: A Survey on Theory and Applications
Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
Complexity of two-variable Dependence Logic and IF-Logic
String Synchronizing Sets: Sublinear-Time BWT Construction and Optimal LCE Data Structure
An Efficient Encryption Scheme with Verifiable Outsourced Decryption in Mobile Cloud Computing
Benchmarking Foundation Models with Multimodal Public Electronic Health Records
Knowing Unknowns in an Age of Information Overload
A Novel Dynamic Bandwidth Allocation Design for 100G Coherent Passive Optical Network
TPA-Net: Generate A Dataset for Text to Physics-based Animation
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
Debiasing Text-to-Image Diffusion Models
Tree-Based Nonlinear Reduced Modeling
Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems
Active Generation Network of Human Skeleton for Action Recognition
Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes
Real-Time Simulation in Real-Time Systems: Current Status, Research Challenges and A Way Forward
An Outline of Security in Wireless Sensor Networks: Threats, Countermeasures and Implementations
Advancing Recommender Systems by mitigating Shilling attacks
The $ε$-capacity of a gain matrix and tolerable disturbances: Discrete-time perturbed linear systems
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
A Resourceful Coordination Approach for Multilevel Scheduling
Learning Neural Light Transport
Stochastic Proximal Gradient Descent for Nuclear Norm Regularization
Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling
Set complexity of construction of a regular polygon
Higher order organizational features can distinguish protein interaction networks of disease classes: a case study of neoplasms and neurological diseases
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services
When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being
Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
A Covert Queueing Channel in Round Robin Schedulers
Identification of core-periphery structure in networks
Forensic Analysis of Instant Messenger Applications on Android Devices
Evaluating Model Robustness to Dataset Shift
A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint
On easily computable indecomposable dimension group algebras, and group codes
Considering Durations and Replays to Improve Music Recommender Systems
The Construction of Asymptotic Bode Plots: A New Direct Method
MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features
Communication Aid for Non-English Speaking Newcomers
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
Expanding the Content-Style Frontier: a Balanced Subspace Blending Approach for Content-Style LoRA Fusion
Coordinated Cyber-Attack Detection Model of Cyber-Physical Power System Based on the Operating State Data Link
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions
Avoiding fractional powers over the natural numbers
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning
Towards Imperceptible Adversarial Defense: A Gradient-Driven Shield against Facial Manipulations
Improving Human-Autonomous Vehicle Interaction in Complex Systems
Resolution of 2D reconstruction of functions with nonsmooth edges from discrete Radon transform data
Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
Heterogeneous networks in drug-target interaction prediction
What Can We Compute in a Single Round of the Congested Clique?
Flattened Exponential Histogram for Sliding Window Queries over Data Streams
Meta Learning Deep Visual Words for Fast Video Object Segmentation
Discontinuous Galerkin methods on graphics processing units for nonlinear hyperbolic conservation laws
Exploring Demonstration Ensembling for In-context Learning
On quantifying and improving realism of images generated with diffusion
A Coalgebraic Approach to Reducing Finitary Automata
Interdiction of a Markovian Evader
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Building Metaverse Responsibly: Findings from Interviews with Experts
AI Feynman: a Physics-Inspired Method for Symbolic Regression
DISPLACE Challenge: DIarization of SPeaker and LAnguage in Conversational Environments
Keyphrase Generation for Scientific Articles using GANs
Beyond Prototyping: Autonomous, Enterprise-Grade Frontend Development from Pixel to Production via a Specialized Multi-Agent Framework
An Overview of Recent Developments in Big Boolean Equations
On the frequency domain detection of high dimensional time series
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics
On the Relationship between Space-Time Accessibility and Leisure Activity Participation
ProNet: Network-level Bandwidth Sharing among Tenants in Cloud
On Extended Concentration Inequalities for Fast JL Embeddings of Infinite Sets
Wanted Dead or Alive : Epistemic logic for impure simplicial complexes
A General Framework for Sound and Complete Floyd-Hoare Logics
Experimental quantum e-commerce
Diffusion-based Models for Unpaired Super-resolution in Fluid Dynamics
The Potential of Olfactory Stimuli in Stress Reduction through Virtual Reality
Catch Me If You Can: Identifying Fraudulent Physician Reviews with Large Language Models Using Generative Pre-Trained Transformers
Security for Children in the Digital Society - A Rights-based and Research Ethics Approach
Voice Recognition Robot with Real-Time Surveillance and Automation
OO Model of the STAR offline production "Event Display" and its implementation based on Qt-ROOT
LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance
Grain Surface Classification via Machine Learning Methods
Productivity equation and the m distributions of information processing in workflows
CRM 2.0 within E-Health Systems: Towards Achieving Health Literacy & Customer Satisfaction
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
The CM Algorithm for the Maximum Mutual Information Classifications of Unseen Instances
Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing
Increasing Expressivity of a Hyperspherical VAE
PINNet: a deep neural network with pathway prior knowledge for Alzheimer's disease
Depth Adaptive Deep Neural Network for Semantic Segmentation
Baseline-free Damage Detection and Localization on Composite Structures with Unsupervised Kolmogorov-Arnold Autoencoder and Guided Waves
A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields
Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems
Structured AI Decision-Making in Disaster Management
Compositional design for time-varying and nonlinear coordination
On the computational complexity of exterior products
A Simple Structure For Building A Robust Model
Mixed-Strategy Nash Equilibrium for Crowd Navigation
Time-aware Test Case Execution Scheduling for Cyber-Physical Systems
Quantum Visual Feature Encoding Revisited
A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation
Proceedings First Workshop on Adaptable Cloud Architectures
Exploration and Improvement of Nerf-based 3D Scene Editing Techniques
A Survey of Quantum Lyapunov Control Methods
Dielectric breakdown prediction with GPU-accelerated BEM
Joint Power Allocation and Precoding for Network Coding based Cooperative Multicast Systems
SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer
The TTC 2013 Flowgraphs Case
A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance
Three-dimensional granular flow simulation using graph neural network-based learned simulator
Realizing an optimization approach inspired from Piagets theory on cognitive development
Applications of Zigzag Persistence to Topological Data Analysis
Proteome-informed machine learning studies of cocaine addiction
Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview
Low Complexity Indoor Localization in Wireless Sensor Networks by UWB and Inertial Data Fusion
Lipschitz (non-)equivalence of the Gromov-Hausdorff distances, including on ultrametric spaces
On Intra-Class Variance for Deep Learning of Classifiers
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception
Dually flat structure with escort probability and its application to alpha-Voronoi diagrams
WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques
Evaluating a Generative Adversarial Framework for Information Retrieval
Feedback Control Methods for a Single Machine Infinite Bus System
MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router
Semantics of a Relational λ-Calculus (Extended Version)
Software for Computing the Spheroidal Wave Functions Using Arbitrary Precision Arithmetic
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations?
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
Co-simulation of Continuous Systems: A Tutorial
A Seft-adaptive Multicellular GEP Algorithm Based On Fuzzy Control For Function Optimization
Learning recurrent dynamics in spiking networks
DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings
Towards Understanding Provenance in Industry
Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
Automatic topography of high-dimensional data sets by non-parametric Density Peak clustering
A Networks and Machine Learning Approach to Determine the Best College Coaches of the 20th-21st Centuries
Sparse Representation of Astronomical Images
Emergent Natural Language with Communication Games for Improving Image Captioning Capabilities without Additional Data
Efficient implicit solvers for models of neuronal networks
On rate-optimal classification from non-private and from private data
Research on Medical Named Entity Identification Based On Prompt-Biomrc Model and Its Application in Intelligent Consultation System
Bits for Privacy: Evaluating Post-Training Quantization via Membership Inference
Index Coding and Network Coding via Rank Minimization
MTD(f), A Minimax Algorithm Faster Than NegaScout
REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations
A Unifying Framework for Typical Multi-Task Multiple Kernel Learning Problems
Robust field-level inference with dark matter halos
Electricity storage requirements to support the transition towards high renewable penetration levels: Application to the Greek power system
Large Scale Distributed Linear Algebra With Tensor Processing Units
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks
Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering
A general and fast convolution-based method for peridynamics: applications to elasticity and brittle fracture
Intelligent interactive technologies for mental health and well-being
Part-A 2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud
VideoMix: Rethinking Data Augmentation for Video Classification
Diffusion Models For Stronger Face Morphing Attacks
Time-Aware and Transition-Semantic Graph Neural Networks for Interpretable Predictive Business Process Monitoring
DEEP 2 : Deep Learning Powered De-scattering with Excitation Patterning
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset
Singleton algorithms for the Constraint Satisfaction Problem
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multi-Modal Data for Alzheimer's Disease Prediction
Wikibio: a Semantic Resource for the Intersectional Analysis of Biographical Events
Microfabricated Neuroaccelerometer: Integrating Sensing and Reservoir Computing in MEMS
SUM-AgriVLN: Spatial Understanding Memory for Agricultural Vision-and-Language Navigation
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
KR-BERT: A Small-Scale Korean-Specific Language Model
Open-Sourced Reinforcement Learning Environments for Surgical Robotics
Green Computer Science Millennial Students Examination
Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation
A Behavioural Analysis of Credulous Twitter Users
A methodology of weed-crop classification based on autonomous models choosing and ensemble
Multilingual Synopses of Movie Narratives: A Dataset for Story Understanding
RheOFormer: A generative transformer model for simulation of complex fluids and flows
Lasso hyperinterpolation over general regions
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Anomaly Detection in Offshore Open Radio Access Network Using Long Short-Term Memory Models on a Novel Artificial Intelligence-Driven Cloud-Native Data Platform
GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation
A Comprehensive Evaluation and Practice of System Penetration Testing
Multi-Agent Data Visualization and Narrative Generation
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence
A general partitioning strategy for non-centralized control
A statistical learning approach to color demosaicing
Robustifying Deep Vision Models Through Shape Sensitization
Learning from Multi-Perception Features for Real-Word Image Super-resolution
Petting Pen for Stress Awareness and Management in Children
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILM
Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment
The Potential of Neural Speech Synthesis-based Data Augmentation for Personalized Speech Enhancement
Iterative Detection and Decoding Algorithms using LDPC Codes for MIMO Systems in Block-Fading Channels
Accelerating Radio Astronomy Cross-Correlation with Graphics Processing Units
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
A Bayesian machine scientist to aid in the solution of challenging scientific problems
Collaborative Edge AI Inference over Cloud-RAN
Multi-round Master-Worker Computing: a Repeated Game Approach
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Do large language models solve verbal analogies like children do?
TIER: Text-Image Entropy Regularization for CLIP-style models
Tailored RF pulse optimization for magnetization inversion at ultra high field
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging
Balancing Efficiency and Fairness: An Iterative Exchange Framework for Multi-UAV Cooperative Path Planning
Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation
Deformation Lamps: A Projection Technique to Make a Static Object Dynamic
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
LIP: Local Importance-based Pooling
In the Wild: From ML Models to Pragmatic ML Systems
Distilling Knowledge from Pre-trained Language Models via Text Smoothing
Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts
Deep Learning Multi-View Representation for Face Recognition
Construction of local reduced spaces for Friedrichs' systems via randomized training
On the cavity method for decimated random constraint satisfaction problems and the analysis of belief propagation guided decimation algorithms
From positional representation of numbers to positional representation of vectors
Vehicle-to-Grid Integration: Ensuring Grid Stability, Strengthening Cybersecurity, and Advancing Energy Market Dynamics
Augmenting reality to diminish distractions for cognitive enhancement
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation
A Computational Model of Inclusive Pedagogy: From Understanding to Application
Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
Information dissemination processes in directed social networks
FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification
Generation of the Single Precision BLAS library for the Parallella platform, with Epiphany co-processor acceleration, using the BLIS framework