yusuke1997/dblp-id-title huggingface dataset:
How social network influences human behavior: An integrated latent space approach
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
The Join of Scale-free Network Models
PatchShading: High-Quality Human Reconstruction by Patch Warping and Shading Refinement
Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation
Conditions for Major Transitions in Biological and Cultural Evolution
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition
Why do women pursue a PhD in Computer Science?
Predict, Reposition, and Allocate: A Greedy and Flow-Based Architecture for Sustainable Urban Food Delivery
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19
Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network
CARL: Content-Aware Representation Learning for Heterogeneous Networks
Towards Automated Management and Analysis of Heterogeneous Data Within Cannabinoids Domain
Perceptions of the Fourth Industrial Revolution and Artificial Intelligence Impact on Society
An Exploration of H-1B Visa Applications in the United States
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning
Least-Squares versus Partial Least-Squares Finite Element Methods: Robust A Priori and A Posteriori Error Estimates of Augmented Mixed Finite Element Methods
MID-L: Matrix-Interpolated Dropout Layer with Layer-wise Neuron Selection
Distribution-Free Rates in Neyman-Pearson Classification
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation
Universal Approximation of Visual Autoregressive Transformers
Efficient numerical method for reliable upper and lower bounds on homogenized parameters
Rep Works in Speaker Verification
BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
Physical complexity and black hole quantum computers
Creating a Fine Grained Entity Type Taxonomy Using LLMs
Proposed optimal LSP selection method in MPLS networks
Attention History Over Time of Scientific Literature: Metrics of Nature Publications
Leveraging Metaheuristic Approaches to Improve Deep Learning Systems for Anxiety Disorder Detection
Neighbor Discovery in a Wireless Sensor Network: Multipacket Reception Capability and Physical-Layer Signal Processing
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking
Active Learning of Non-semantic Speech Tasks with Pretrained Models
Complex dynamics in a vehicle platoon with nonlinear drag and ACC controllers
FabasedVC: Enhancing Voice Conversion with Text Modality Fusion and Phoneme-Level SSL Features
Visual Jigsaw Post-Training Improves MLLMs
Pre-training Polish Transformer-based Language Models at Scale
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Fabrication-Aware Inverse Design For Shape Optimization
Identifying Processes Governing Damage Evolution in Quasi-Static Elasticity. Part 2 - Numerical Simulations
A State-of-the-art Survey on IDS for Mobile Ad-Hoc Networks and Wireless Mesh Networks
On the Robustness of Transformers against Context Hijacking for Linear Classification
Scalable Wavelength Arbitration for Microring-based DWDM Transceivers
SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation
Combining Proofs for Description Logic and Concrete Domain Reasoning (Technical Report)
ARMAS: Active Reconstruction of Missing Audio Segments
Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation
Remote State Estimation over a Wearing Channel: Information Freshness vs. Channel Aging
Fully Decentralized Model-based Policy Optimization for Networked Systems
Faster DB-scan and HDB-scan in Low-Dimensional Euclidean Spaces
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
Deep neural network ensemble by data augmentation and bagging for skin lesion classification
Adversarial Retriever-Ranker for dense text retrieval
TD-M(PC) 2 : Improving Temporal Difference MPC Through Policy Constraint
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
Multi-Scale Transformer Architecture for Accurate Medical Image Classification
Fractal dimension versus computational complexity
Accelerating Inexact HyperGradient Descent for Bilevel Optimization
On Uniform Ensemble Controllability of Diagonalizable Linear Ensemble Systems
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation
Localized implicit time stepping for the wave equation
Applied Evaluative Informetrics: Part 1
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks
Efficient Monte Carlo Optimization for Multi-label Classifier Chains
Lipschitz Properties for Deep Convolutional Networks
D-Nikud: Enhancing Hebrew Diacritization with LSTM and Pretrained Models
Power, Control, and Data Acquisition Systems for Rectal Simulator Integrated with Soft Pouch Actuators
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
SHS: Scorpion Hunting Strategy Swarm Algorithm
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?
Revisiting character-level adversarial attacks
Numerical issues in maximum likelihood parameter estimation for Gaussian process regression
FD-FCN: 3D Fully Dense and Fully Convolutional Network for Semantic Segmentation of Brain Anatomy
Physics-based AI methodology for Material Parameter Extraction from Optical Data
Hypergraph-Guided Regex Filter Synthesis for Event-Based Anomaly Detection
MorphStream: Scalable Processing of Transactions over Streams on Multicores
Capturing near-equilibrium solutions: a comparison between high-order Discontinuous Galerkin methods and well-balanced schemes
Are 140 Characters Enough? A Large-Scale Linkability Study of Tweets
Real-Time Idling Vehicles Detection Using Combined Audio-Visual Deep Learning
FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration
2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications
Large Language Models and Mathematical Reasoning Failures
Mapping the Geography of Science: Distribution Patterns and Networks of Relations among Cities and Institutes
Synthesizing Distributed Energy Resources in Microgrids with Temporal Logic Specifications
Neuro-algorithmic Policies enable Fast Combinatorial Generalization
ReLKD: Inter-Class Relation Learning with Knowledge Distillation for Generalized Category Discovery
Index handling and assign optimization for Algorithmic Differentiation reuse index managers
Presenting DiaData for Research on Type 1 Diabetes
Linguistic Interpretability of Transformer-based Language Models: a systematic review
Blocking Underhand Attacks by Hidden Coalitions (Extended Version)
Modelling customer lifetime-value in the retail banking industry
Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities
Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines
MULE - A Co-Generation Fission Power Plant Concept to Support Lunar In-Situ Resource Utilisation
A reduced basis method for frictional contact problems formulated with Nitsche's method
On a Generalization of the Marriage Problem
The Role of AI in Financial Forecasting: ChatGPT's Potential and Challenges
Data-based Control of Feedback Linearizable Systems
Graph Neural Networks for modelling breast biomechanical compression
Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble
Penalised FTRL With Time-Varying Constraints
Construction and application of provable positive and exact cubature formulas
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
Improved Interactive Protocol for Synchronizing From Deletions
Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations
A general approach to progressive intelligence
ObjectRL: An Object-Oriented Reinforcement Learning Codebase
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Practical LR Parser Generation
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
Randomized Quantization is All You Need for Differential Privacy in Federated Learning
Sampled-Data Observers for 1-D Parabolic PDEs with Non-Local Outputs
Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph
Scribble-Based Interactive Segmentation of Medical Hyperspectral Images
The Marine Debris Forward-Looking Sonar Datasets
An Online Algorithm for Power-proportional Data Centers with Switching Cost
Adjoint based methods to compute higher order topological derivatives with an application to elasticity
3D-MVP: 3D Multiview Pretraining for Robotic Manipulation
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks
Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?
Base Models Beat Aligned Models at Randomness and Creativity
BER measurements in the evaluation of operation correctness of VSAT modem traffic interfaces
Enhancing Data-Assimilation in CFD using Graph Neural Networks
Simple explanation on why QKD keys have not been proved secure
Remarks on Category-Based Routing in Social Networks
Ecological Reinforcement Learning
Ranking and clustering countries and their products; a network analysis
Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding
Avoiding collisions at any (low) cost: ADS-B like position broadcast for UAVs
Text-Guided Scene Sketch-to-Photo Synthesis
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach
Conditional Hybrid GAN for Sequence Generation
Fourier Neural Operators for Non-Markovian Processes:Approximation Theorems and Experiments
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Machine Learning Processes as Sources of Ambiguity: Insights from AI Art
Star Tracker Misalignment Compensation in Deep Space Navigation Through Model-Based Estimation
Distributed Sparse Identification for Stochastic Dynamic Systems under Cooperative Non-Persistent Excitation Condition
Representing First-Order Causal Theories by Logic Programs
Automated Mixture Analysis via Structural Evaluation
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters
Security Enhancement of Drone Considering the Characteristics of Data Transmitted between Wireless Channels
Recommending Related Tables
Token-by-Token Regeneration and Domain Biases: A Benchmark of LLMs on Advanced Mathematical Problem-Solving
ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications
A Reduced Order technique to study bifurcating phenomena: application to the Gross-Pitaevskii equation
Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
Deep Reinforcement Learning of Transition States
Video Ads Content Structuring by Combining Scene Confidence Prediction and Tagging
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge
Improving Simulations with Symmetry Control Neural Networks
Centralised or Decentralised? Data Analysis of Transaction Network of Hedera Hashgraph
Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation
Adaptive Gaussian Process Regression for Efficient Building of Surrogate Models in Inverse Problems
Alpha 2 : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning
Optimal Time-dependent Sequenced Route Queries in Road Networks
AROW: A V2X-based Automated Right-of-Way Algorithm for Distributed Cooperative Intersection Management
Blahut-Arimoto Algorithm and Code Design for Action-Dependent Source Coding Problems
Compressing complex convolutional neural network based on an improved deep compression algorithm
Tucker decomposition-based Temporal Knowledge Graph Completion
Creating a Real-Time, Reproducible Event Dataset
On the Role and the Importance of Features for Background Modeling and Foreground Detection
Beyond Play and Pause: Turning GPT-4o Spatial Weakness into a Strength for In-Depth Interactive Video Learning
AI and Social Theory
VSA:Visual-Structural Alignment for UI-to-Code
Communications Using Ubiquitous Antennas: Free-Space Propagation
LuoJiaHOG: A Hierarchy Oriented Geo-aware Image Caption Dataset for Remote Sensing Image-Text Retrival
CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework
Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices
Electromagnetic Signal and Information Theory - On Electromagnetically Consistent Communication Models for the Transmission and Processing of Information
MuNES: Multifloor Navigation Including Elevators and Stairs
Encoding Heterogeneous Social and Political Context for Entity Stance Prediction
Map-Assisted Power Allocation and Constellation Design for mmWave WDM with OAM in Short-Range LOS Environment
Real-time Percussive Technique Recognition and Embedding Learning for the Acoustic Guitar
Skeleton-Split Framework using Spatial Temporal Graph Convolutional Networks for Action Recogntion
Observement as Universal Measurement
Novel methods for multilinear data completion and de-noising based on tensor-SVD
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation
Efficient Scheduling of Vehicular Tasks on Edge Systems with Green Energy and Battery Storage
Audio Processing using Pattern Recognition for Music Genre Classification
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Graph-based Facial Affect Analysis: A Review of Methods, Applications and Challenges
Unique continuation for the wave equation based on a discontinuous Galerkin time discretization
On the Complexity of Exact Pattern Matching in Graphs: Binary Strings and Bounded Degree
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram
SMT Queries Decomposition and Caching in Semi-Symbolic Model Checking
Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment
On Link Availability Probability of Routing Protocols for Urban Scenario in VANETs
Hard Example Guided Hashing for Image Retrieval
Procode: the Swiss Multilingual Solution for Automatic Coding and Recoding of Occupations and Economic Activities
Fake News Detection via Wisdom of Synthetic & Representative Crowds
Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM
Quantum Circuit Training with Growth-Based Architectures
Updating structured matrix pencils with no spillover effect on unmeasured spectral data and deflating pair
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver
Streetscape Analysis with Generative AI (SAGAI): Vision-Language Assessment and Mapping of Urban Scenes
Posterior Collapse in Linear Conditional and Hierarchical Variational Autoencoders
Music Style Transfer With Diffusion Model
Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
Desarrollo del software de interfaz de usuario para el espectrógrafo astronómico COLORES instalado en el observatorio de la Mayora
Affinity guided Geometric Semi-Supervised Metric Learning
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
A Repository of Conversational Datasets
Modular Multimodal Architecture for Document Classification
NFRsTDO v1.2's Terms, Properties, and Relationships - A Top-Domain Non-Functional Requirements Ontology
Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity
A Multi-Scale Cascade Fully Convolutional Network Face Detector
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks
Algorithmic scalability in globally constrained conservative parallel discrete event simulations of asynchronous systems
Discovering Technology Gaps using the IntSight Knowledge Navigator
Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)
Dimension-Preserving Reductions Between SVP and CVP in Different p-Norms
Data-driven Software-based Power Estimation for Embedded Devices
Enhanced MIMO-DCT-OFDM System Using Cosine Domain Equalizer
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness
Deep Active Learning in the Presence of Label Noise: A Survey
Multi-Head Attention Mechanism Learning for Cancer New Subtypes and Treatment Based on Cancer Multi-Omics Data
Isomorphisms of types in the presence of higher-order references
Multi-Target Position Error Bound and Power Allocation Scheme for Cell-Free mMIMO-OTFS ISAC Systems
Tracking of Micro Unmanned Aerial Vehicles: A Comparative Study
Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation
ReSeg: A Recurrent Neural Network for Object Segmentation
Coded Multicast Fronthauling and Edge Caching for Multi-Connectivity Transmission in Fog Radio Access Networks
ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention
Graph Isomorphism for Bounded Genus Graphs In Linear Time
Estimation of soil moisture in paddy field using Artificial Neural Networks
Robust Non-Parametric Data Approximation of Pointsets via Data Reduction
Optimizing Reasoning Efficiency through Prompt Difficulty Prediction
Artificial Intelligence-Enabled Spirometry for Early Detection of Right Heart Failure
Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers
On the Optimal Communication Weights in Distributed Optimization Algorithms
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
Passive Dynamics in Mean Field Control
An offline-online strategy for multiscale problems with random defects
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
Trillium: Unifying Refinement and Higher-Order Distributed Separation Logic
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception
Statistical models for cores decomposition of an undirected random graph
Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space
MapReduce for Counting Word Frequencies with MPI and GPUs
Domain Adaptive Transfer Learning for Fault Diagnosis
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models
Multiscale Hodge Scattering Networks for Data Analysis
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
A Synthesizer based on square waves
A Convergence Theory for Diffusion Language Models: An Information-Theoretic Perspective
Four-Arm Manipulation via Feet Interfaces
Cutsize Distributions of Balanced Hypergraph Bipartitions for Random Hypergraphs
Design of a High Step-up DC-DC Power Converter with Voltage Multiplier Cells and Reduced Losses on Semiconductors for Photovoltaic Systems
dq Modeling for Series-Parallel Compensated Wireless Power Transfer Systems
Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
Numerical methods for antiferromagnetics
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System
Distributed Sparse SGD with Majority Voting
Analysing Networks of Networks
Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium
Asymptotic relative submajorization of multiple-state boxes
Multiple Access for Small Packets Based on Precoding and Sparsity-Aware Detection
Analyzing scientific data sharing patterns for in-network data caching
Parametrization invariant interpretation of priors and posteriors
Demystifying Network Foundation Models
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Problems with classification, hypothesis testing, and estimator convergence in the analysis of degree distributions in networks
A Forensically Sound Adversary Model for Mobile Devices
The cover time of a biased random walk on a random regular graph of odd degree
A Kriging-HDMR-based surrogate model with sample pool-free active learning strategy for reliability analysis
High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks
ResidualViT for Efficient Temporally Dense Video Encoding
Echoes of the Land: An Interactive Installation Based on Physical Model of Earthquake
Combining Public and Private Data
EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems
Towards synthetic generation of realistic wooden logs
Generative Models with ELBOs Converging to Entropy Sums
Measuring General Intelligence with Generated Games
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
Computation of the Weight Distribution of CRC Codes
Deep Neural Networks for Query Expansion using Word Embeddings
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
A look at adversarial attacks on radio waveforms from discrete latent space
Three-edge-coloring projective planar cubic graphs: A generalization of the Four Color Theorem
MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models
Information Asymmetries in Pay-Per-Bid Auctions: How Swoopo Makes Bank
An entropic method for discrete systems with Gibbs entropy
Explaining Classifiers by Constructing Familiar Concepts
BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla
Some isomorphic classes for noncanonical hypercomplex number systems of dimension 2
A Family of Iteration Functions for General Linear Systems
Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis
Learning to Represent Programs with Code Hierarchies
Bagging Improves Generalization Exponentially