yusuke1997/dblp-id-title huggingface dataset:
Table2Image: Interpretable Tabular data Classification with Realistic Image Transformations
Image Tokenizer Needs Post-Training
Smooth Zone Barrier Lyapunov Functions for Nonlinear Constrained Control Systems
Simulation-based planning of Motion Sequences for Automated Procedure Optimization in Multi-Robot Assembly Cells
Conversational Exploratory Search via Interactive Storytelling
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
A Novel Methodology For Crowdsourcing AI Models in an Enterprise
Vision Language Models are Confused Tourists
Physics-Informed Neural Networks with Hard Nonlinear Equality and Inequality Constraints
Multicut Lower Bounds via Network Coding
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning
Dynamic Games among Teams with Delayed Intra-Team Information Sharing
BillionCOV: An Enriched Billion-scale Collection of COVID-19 tweets for Efficient Hydration
Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding
A Novel Fusion of Optical and Radar Satellite Data for Crop Phenology Estimation using Machine Learning and Cloud Computing
Temporal Cardiovascular Dynamics for Improved PPG-Based Heart Rate Estimation
Determination of the Integrated Sidelobe Level of Sets of Rotated Legendre Sequences
A Flexible and Robust Large Scale Capacitive Tactile System for Robots
Towards Continuous Integration and Continuous Delivery in the Automotive Industry
Maestro: Joint Graph & Config Optimization for Reliable AI Agents
The Road to the Closest Point is Paved by Good Neighbors
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
A Note on the Security of ITS: Car Crash Analysis in Cruise Control Scenarios
Fault-Tolerant Detection Systems on the King's Grid
Nonlinear Local Metric Learning for Person Re-identification
Fast Structuring of Radio Networks for Multi-Message Communications
Two Algorithms to Compute the Maximal Symmetry Group
End-to-End Document Classification and Key Information Extraction using Assignment Optimization
ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Diffusion Models
Examining a hate speech corpus for hate speech detection and popularity prediction
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
On the Effectiveness of Adversarial Training on Malware Classifiers
Robust Detection of Watermarks for Large Language Models Under Human Edits
Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies
Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition
An asymptotic-preserving semi-Lagrangian algorithm for the anisotropic heat transport equation with arbitrary magnetic fields
Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
Cross-sectional Urban Scaling Fails in Predicting Temporal Growth of Cities
Optimized Method for Iranian Road Signs Detection and recognition system
Robust Flows over Time: Models and Complexity Results
Emergence of Numeric Concepts in Multi-Agent Autonomous Communication
TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
Self-supervised Learning for Video Correspondence Flow
A Framework for Real-Time Face and Facial Feature Tracking using Optical Flow Pre-estimation and Template Tracking
Consistent Opponent Modeling of Static Opponents in Imperfect-Information Games
On the CALM Principle for Bulk Synchronous Parallel Computation
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance
ROOT Status and Future Developments
A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks
MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Hate Speech Multi-hop Explanation
Scalable Autoregressive 3D Molecule Generation
Optimal Team Economic Decisions in Counter-Strike
Segregation in Religion Networks
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
A Roadmap to Asymptotic Properties with Applications to COVID-19 Data
TECVis: A Visual Analytics Tool to Compare People's Emotion Feelings
The role of susceptible individuals in spreading dynamics
Graph based manifold regularized deep neural networks for automatic speech recognition
A Survey of Latent Factor Models in Recommender Systems
Evolution of Cooperation in the Presence of Higher-Order Interactions: from Networks to Hypergraphs
Beyond the Scope: Security Testing of Permission Management in Team Workspace
On the necessity of the inf-sup condition for a mixed finite element formulation
Learning to Train a Binary Neural Network
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
Social Engagement versus Learning Engagement - An Exploratory Study of FutureLearn Learners
An approach to find dynamic slice for C++ Program
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
Slow Thinking for Sequential Recommendation
MoDex: Planning High-Dimensional Dexterous Control via Learning Neural Hand Models
Six-DoF Stewart Platform Motion Simulator Control using Switchable Model Predictive Control
A hybrid solution for 2-UAV RAN slicing
Sequential change detection via backward confidence sequences
Robust and efficient computation of retinal fractal dimension through deep approximation
Processing of Test Matrices with Guessing Correction
Bridging Literature and the Universe Via A Multi-Agent Large Language Model System
Learning from Collective Intelligence in Groups
STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis
Test Time Adaptation Using Adaptive Quantile Recalibration
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
Defining maximum acceptable latency of AI-enhanced CAI tools
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Low regularity integrators for semilinear parabolic equations with maximum bound principles
Optimizing contrastive learning for cortical folding pattern detection
Latent Model Ensemble with Auto-localization
Compendium of Advances in Game Theory: Classical, Differential, Algorithmic, Non-Archimedean and Quantum Game
Topological Navigation of Simulated Robots using Occupancy Grid
Improving Transient Performance of Adaptive Control Architectures using Frequency-Limited System Error Dynamics
Generating Classes of 3D Virtual Mandibles for AR-Based Medical Simulation
Mixed membership stochastic blockmodels
The two-grid weak Galerkin method and enriched Crouzeix-Raviart element method for linear elastic eigenvalue problems
EgoDist: Comparing networks via distributions of egonet features
GARF: Geometry-Aware Generalized Neural Radiance Field
Wearable-based Classification of Running Styles with Deep Learning
On Representation of 3D Rotation in the Context of Deep Learning
Searching a High-Performance Feature Extractor for Text Recognition Network
Lossless White Balance For Improved Lossless CFA Image and Video Compression
Energy-efficient Wireless Charging and Computation Offloading In MEC Systems
Total Normal Curvature Regularization and its Minimization for Surface and Image Smoothing
Synthesising Privacy by Design Knowledge Towards Explainable Internet of Things Application Designing in Healthcare
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
On the Achievable Sum-rate of the RIS-aided MIMO Broadcast Channel
Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme
Bayesian Data Cleaning for Web Data
Bounds and Constructions of 𝓁-Read Codes under the Hamming Metric
Traction of Interlocking Spikes on a Granular Material
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
AutoPeel: Adhesion-aware Safe Peeling Trajectory Optimization for Robotic Wound Care
Learning Properties of Quantum States Without the I.I.D. Assumption
Comparing manual contact tracing and digital contact advice
Conquering the Extensional Scalability Problem for Value-Flow Analysis Frameworks
Drug-target affinity prediction method based on consistent expression of heterogeneous data
Cheatsheets for Authentication and Key Agreements in 2G, 3G, 4G, and 5G
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
Declarative Semantics of the Hybrid Constraint Language HydLa
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning
Winning Strategies for the Synchronization Game on Subclasses of Finite Automata
The Unreasonable Effectiveness of Blood Pressure Measurement: Molecular Communication in Biological Systems
Customizing First Person Image Through Desired Actions
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets
A Comprehensive Comparison of Multi-Dimensional Image Denoising Methods
Nonlinear Receding-Horizon Control of Rigid Link Robot Manipulators
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Divergence Results and Convergence of a Variance Reduced Version of ADAM
NimbleReg: A light-weight deep-learning framework for diffeomorphic image registration
Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers
A Preliminary Exploration of the Disruption of a Generative AI Systems: Faculty/Staff and Student Perceptions of ChatGPT and its Capability of Completing Undergraduate Engineering Coursework
Phenotype inference with Semi-Supervised Mixed Membership Models
DeepLab2: A TensorFlow Library for Deep Labeling
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions
Language Cognition and Language Computation - Human and Machine Language Understanding
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
Optimization-Inspired Few-Shot Adaptation for Large Language Models
An Interpretation of E-HA w inside HA w
MmBack: Clock-free Multi-Sensor Backscatter with Synchronous Acquisition and Multiplexing
A Novel Hybrid Grey Wolf Differential Evolution Algorithm
Deep Deterministic Uncertainty for Semantic Segmentation
LLMs for Multi-Modal Knowledge Extraction and Analysis in Intelligence/Safety-Critical Applications
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
SAGe: A Lightweight Algorithm-Architecture Co-Design for Mitigating the Data Preparation Bottleneck in Large-Scale Genome Analysis
Development of Microcontroller Based Smart Grid Framework
TaskEval: Synthesised Evaluation for Foundation-Model Tasks
Practical issues in decoy-state quantum key distribution based on the central limit theorem
Extrinsic Calibration of 2D mm-Wavelength Radar Pairs Using Ego-Velocity Estimates
Normalization of Polynomials in Algebraic Invariants of Three-Dimensional Orthogonal Geometry
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training
Scaling Artificial Intelligence for Prostate Cancer Detection on MRI towards Population-Based Screening and Primary Diagnosis in a Global, Multiethnic Population (Study Protocol)
On Batch Normalisation for Approximate Bayesian Inference
Applications of Voice User Interfaces in Clinical Settings
Interpretable Machine Learning for Detection and Classification of Ransomware Families Based on API Calls
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence
Learning Disentangled Speech- and Expression-Driven Blendshapes for 3D Talking Face Animation
Looking into Hardware-in-the-Loop Coupling of OMNeT++ and RoSeNet
Data Efficient Subset Training with Differential Privacy
Exploring Political Ads on News and Media Websites During the 2024 U.S. Elections
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
Exploring Explicit and Implicit Visual Relationships for Image Captioning
Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics
Artificial Intelligence for Digital and Computational Pathology
On Strong Secrecy for Multiple Access Channels with States and Causal CSI
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Quasi-Monte Carlo finite element analysis for wave propagation in heterogeneous random media
Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate
Probability density distillation with generative adversarial networks for high-quality parallel waveform generation
Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
New generation of mobile phone viruses and corresponding countermeasures
Non-Dissipative and Structure-Preserving Emulators via Spherical Optimization
Sparse Regression for Machine Translation
FASTEN: Towards a FAult-tolerant and STorage EfficieNt Cloud: Balancing Between Replication and Deduplication
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning
Reinforcement Learning Problem Solving with Large Language Models
Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data
An End-to-End Vehicle Trajcetory Prediction Framework
Exploring QSAR Models for Activity-Cliff Prediction
An AI-driven Malfunction Detection Concept for NFV Instances in 5G
A Wave Front Tracking Scheme for Flux Reconstruction in 2⨉2 Hyperbolic Conservation Laws
Vulnerability of D2D Communications from Interconnected Social Networks
Optimal Scoring Rule Design
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans
Versatile Multimodal Controls for Whole-Body Talking Human Animation
A Situation Calculus-based Approach To Model Ubiquitous Information Services
Implicit and fully discrete approximation of the supercooled Stefan problem in the presence of blow-ups
Profiler: Profile-Based Model to Detect Phishing Emails
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification
Making it to First: The Random Access Problem in DNA Storage
A Survey of Exploration Methods in Reinforcement Learning
Visibility Reasoning for Concurrent Snapshot Algorithms
Smartphone Multi-modal Biometric Authentication: Database and Evaluation
Performance Analysis and Design of Two Edge Type LDPC Codes for the BEC Wiretap Channel
Object Recognition from Short Videos for Robotic Perception
Neighborhood Averaging for Improving Outlier Detectors
Exploring the Efficacy of Modified Transfer Learning in Identifying Parkinson's Disease Through Drawn Image Patterns
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation
An efficient proximal-based approach for solving nonlocal Allen-Cahn equations
Argument Summarization and its Evaluation in the Era of Large Language Models
Phikon-v2, A large and public feature extractor for biomarker prediction
Miniaturized Patch Rectenna Using 3-Turn Complementary Spiral Resonator for Wireless Power Transfer
Exact solutions for the two- and all-terminal reliabilities of the Brecht-Colbourn ladder and the generalized fan
Forensic Analysis of Phone Call Networks
LongFin: A Multimodal Document Understanding Model for Long Financial Domain Documents
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
UniRGB-IR: A Unified Framework for Visible-Infrared Downstream Tasks via Adapter Tuning
Recreating Bat Behavior on Quad-rotor UAVs-A Simulation Approach
An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
A Structural Approach to the Design of Domain Specific Neural Network Architectures
Value-based Engineering for Ethics by Design
Evaluating Transparency of Machine Generated Fact Checking Explanations
Serious Game for Human Environmental Consciousness Education in Residents Daily Life
Aristotle's Original Idea: For and Against Logic in the era of AI
Treatment classification of posterior capsular opacification (PCO) using automated ground truths
DALC: Distributed Arithmetic Coding Aided by Linear Codes
Real-time Drift Detection on Time-series Data
An Empirical Study of Automated Unit Test Generation for Python
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
Automatic Retrieval of Specific Cows from Unlabeled Videos
Geodesic complexity of a cube
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
Free surface shapes in rigid body rotation: Exact solutions, asymptotics and approximants
Le droit du numérique : une histoire à préserver
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis
Extension of Inagaki General Weighted Operators and A New Fusion Rule Class of Proportional Redistribution of Intersection Masses
Is It Safe To Learn And Share? On Psychological Safety and Social Learning in (Agile) Communities of Practice
On Hilberg's Law and Its Links with Guiraud's Law
Effective Backdoor Mitigation Depends on the Pre-training Objective
A direct imaging method for the exterior and interior inverse scattering problems
EditInfinity: Image Editing with Binary-Quantized Generative Models
Causally Fair Node Classification on Non-IID Graph Data
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks
Federated Granger Causality Learning for Interdependent Clients with State Space Representation
Tutorials on Testing Neural Networks
Learning image representations equivariant to ego-motion
Routing Attacks in Ethereum PoS: A Systematic Exploration
Spectral Convolutional Conditional Neural Processes
Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education
Toward the Rectilinear Crossing Number of $K_n$: New Drawings, Upper Bounds, and Asymptotics
An Effective Method for Solving a Class of Transcendental Diophantine Equations
PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
A Survey on Pedophile Attribution Techniques for Online Platforms
Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs
Lyapunov Function-guided Reinforcement Learning for Flight Control
SDSS-V Algorithms: Fast, Collision-Free Trajectory Planning for Heavily Overlapping Robotic Fiber Positioners
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver
Can the Optimizer Cost be Used to Predict Query Execution Times?
Average-reward model-free reinforcement learning: a systematic review and literature mapping
C-Causal Blindness An experimental computational framework on the isomorphic relationship between biological computation, artificial computation, and logic using weighted hidden Markov models
Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
Advanced Routing Algorithms for General Purpose Photonic Processors
HarmonicEval: Multi-modal, Multi-task, Multi-criteria Automatic Evaluation Using a Vision Language Model
Aggregation Methods for Computing Steady-States in Statistical Physics
One Size Fits All: A Conceptual Data Model for Any Approach to Terminology
Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces
EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?
Error Rate Analysis and Low-Complexity Receiver Design for Zero-Padded AFDM
Active Object Localization in Visual Situations
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
An Incremental Evaluation Mechanism for the Critical Node Problem
Closures in Formal Languages: Concatenation, Separation, and Algorithms
On Coloring Random Subgraphs of a Fixed Graph
CMBAnalysis: A Modern Framework for High-Precision Cosmic Microwave Background Analysis
DesignMinds: Enhancing Video-Based Design Ideation with Vision-Language Model and Context-Injected Large Language Model
Double-Precision Floating-Point Data Visualizations Using Vulkan API
Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
The Value of Chess Squares
VersaPants: A Loose-Fitting Textile Capacitive Sensing System for Lower-Body Motion Capture
Minibatch training of neural network ensembles via trajectory sampling
ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training
BabyAI 1.1
C-lisp and Flexible Macro Programming with S-expressions
Quantitative Stability of Barycenters in the Wasserstein Space
ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing
Multimodal Regression for Enzyme Turnover Rates Prediction
Combining Learning and Model Based Control via Discrete-Time Chen-Fliess Series
Embodied Learning for Lifelong Visual Perception
Cyberbullying Detection: Exploring Datasets, Technologies, and Approaches on Social Media Platforms
ReSDF: Redistancing Implicit Surfaces using Neural Networks
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
Exact rule-based stochastic simulations for the system with unlimited number of molecular species
An Automated Spectral Clustering for Multi-scale Data
Towards Connecting Experiences during Collocated Events through Data Mining and Visualization
Minimum Latency Broadcast Scheduling in Single-Radio Multi-Channel Wireless Ad-Hoc Networks
D4R - Exploring and Querying Relational Graphs Using Natural Language and Large Language Models - the Case of Historical Documents
A Supervised Machine Learning Approach for Sequence Based Protein-protein Interaction (PPI) Prediction
Linearization-based direct reconstruction for EIT using triangular Zernike decompositions
Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration
A Generic Model of Contracts for Embedded Systems
Protocol Futuring: Speculating Second-Order Dynamics of Protocols in Sociotechnical Infrastructural Futures
Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning - Extended Version
The Code Barrier: What LLMs Actually Understand?
Exasim: Generating Discontinuous Galerkin Codes for Numerical Solutions of Partial Differential Equations on Graphics Processors
A Conformal Prediction Framework for Uncertainty Quantification in Physics-Informed Neural Networks
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks?
The Security of IP-based Video Surveillance Systems
Human-AI Alignment of Multimodal Large Language Models with Speech-Language Pathologists in Parent-Child Interactions
On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity