yusuke1997/dblp-id-title huggingface dataset:
MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications
Precision-aware Deterministic and Probabilistic Error Bounds for Floating Point Summation
Covert Planning against Imperfect Observers
Observation-based Development of Software Process Baselines: An Experience Report
From Digital Humanities to Quantum Humanities: Potentials and Applications
Are GAN-based Morphs Threatening Face Recognition?
Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors
Context-aware Advertisement Modeling and Applications in Rapid Transit Systems
Error-Tolerant Big Data Processing
CoNav: A Benchmark for Human-Centered Collaborative Navigation
An adaptive mixture-population Monte Carlo method for likelihood-free inference
PosSAM: Panoptic Open-vocabulary Segment Anything
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification
Probabilistic data flow analysis: a linear equational approach
A Fingerprint for Large Language Models
SMPLR: Deep SMPL reverse for 3D human pose and shape recovery
Superconducting Neuromorphic Computing Using Quantum Phase-Slip Junctions
Layered Normalized Min-Sum Decoding with Bit Flipping for FDPC Codes
Design and Development of an Intelligent LLM-based LDAP Honeypot
Self-correcting LLM-controlled Diffusion Models
Developing a Calibrated Physics-Based Digital Twin for Construction Vehicles
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
LLM-Mesh: Enabling Elastic Sharing for Serverless LLM Inference
Data to Decisions: A Computational Framework to Identify skill requirements from Advertorial Data
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Simulation Results of Center-Manifold-Based Identification of Polynomial Nonlinear Systems with Uncontrollable Linearization
Parameter optimization for restarted mixed precision iterative sparse solver
Directed Homophily-Aware Graph Neural Network
Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation
A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids
From Distributed Machine Learning to Federated Learning: A Survey
Visual Recognition Using Directional Distribution Distance
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction
Differential Gated Self-Attention
Comparative Analysis of Parameterized Action Actor-Critic Reinforcement Learning Algorithms for Web Search Match Plan Generation
PViT-6D: Overclocking Vision Transformers for 6D Pose Estimation with Confidence-Level Prediction and Pose Tokens
Multi-Adversarial Safety Analysis for Autonomous Vehicles
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
Fair Knowledge Tracing in Second Language Acquisition
Multiway Cut, the Golden Ratio, and Descending Thresholds
The Value of Interaction in Data Intelligence
Cooperative Control of Multiple Agents with Unknown High-frequency Gain Signs under Unbalanced and Switching Topologies
Distributed and Deep Vertical Federated Learning with Big Data
Learning Root Source with Marked Multivariate Hawkes Processes
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets
Computational universality of fungal sandpile automata
A Closer Look into Automatic Evaluation Using Large Language Models
One-sided Shewhart control charts for monitoring the ratio of two normal variables in Short Production Runs
MultiSTOP: Solving Functional Equations with Reinforcement Learning
Pseudorandom Generators against CFL/n
Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
Design and benchmarking of a two degree of freedom tendon driver unit for cable-driven wearable technologies
Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
THCRL: Trusted Hierarchical Contrastive Representation Learning for Multi-View Clustering
An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images
Selective Multipath Interference Canceller with Linear Equalization for DS-UWB Systems with Low Spreading Factor
A Framework for End-to-End Learning on Semantic Tree-Structured Data
Machine learning-based moment closure model for the semiconductor Boltzmann equation with uncertainties
A Spatio-Temporal Attention-Based Method for Detecting Student Classroom Behaviors
Proof of Concept: Fast Solutions to NP-problems by Using SAT and Integer Programming Solvers
Quantifying and Learning Disentangled Representations with Limited Supervision
Development of A Fully Data-Driven Artificial Intelligence and Deep Learning for URLLC Application in 6G Wireless Systems: A Survey
Redundancy in Systems which Entertain a Model of Themselves: Interaction Information and the Self-organization of Anticipation
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting
A University Framework for the Responsible use of Generative AI in Research
ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images
Text-to-Image GAN with Pretrained Representations
From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
Three-dimensional Deep Shape Optimization with a Limited Dataset
Uplink One-tone Filtered Multitone Modulation Transmission for Machine Type Communications
Face hallucination using cascaded super-resolution and identity priors
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
Wide Tuning Range and Low Noise Voltage Control Oscillators for 5G Technology
Sensor Control for Multi-Object Tracking Using Labeled Multi-Bernoulli Filter
Zero-Shot Video Deraining with Video Diffusion Models
Clustering Time Series and the Surprising Robustness of HMMs
A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering
Structure-guided Image Outpainting
K-Level Reasoning with Large Language Models
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
Multi-step prediction of chlorophyll concentration based on Adaptive Graph-Temporal Convolutional Network with Series Decomposition
Secondary Indexing in One Dimension: Beyond B-trees and Bitmap Indexes
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion
Triangle Detection in Worst-Case Sparse Graphs via Local Sketching
Machine learning for long-distance quantum communication
What Are Research Hypotheses?
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
Clustering and Median Aggregation Improve Differentially Private Inference
Effect of Different Batch Size Parameters on Predicting of COVID19 Cases
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain
Instruction Following without Instruction Tuning
Motion-based Camera Localization System in Colonoscopy Videos
Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19
TrackID3x3: A Dataset and Algorithm for Multi-Player Tracking with Identification and Pose Estimation in 3x3 Basketball Full-court Videos
Neighbor Overlay-Induced Graph Attention Network
Reducing catastrophic forgetting of incremental learning in the absence of rehearsal memory with task-specific token
Dissecting a Small Artificial Neural Network
Accumulation of Knowledge in Para-Scientific Areas. The Case of Analytic Philosophy
Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation
Non-Preemptive Scheduling on Machines with Setup Times
Application of Deep Reinforcement Learning to Payment Fraud
A Note on Spectral Map
No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation
NGRPO: Negative-enhanced Group Relative Policy Optimization
Unification of Modal Logic via Topological Categories
How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like
VoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology Detection
Fire detection in a still image using colour information
Fence off Anomaly Interference: Cross-Domain Distillation for Fully Unsupervised Anomaly Detection
New cardinality estimation algorithms for HyperLogLog sketches
Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
Pattern-Based Phase-Separation of Tracer and Dispersed Phase Particles in Two-Phase Defocusing Particle Tracking Velocimetry
FocusedAD: Character-centric Movie Audio Description
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Towards Reproducibility in Predictive Process Mining: SPICE - A Deep Learning Library
Age of Information: A Two-Sensor Status Update System Monitoring The Same Process
Practical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning
Environmental Pollution Prediction of NOx by Process Analysis and Predictive Modelling in Natural Gas Turbine Power Plants
Rank3DGAN: Semantic mesh generation using relative attributes
Data Load Balancing in Heterogeneous Dynamic Networks
Generative AI for Strategic Plan Development
Degree Sequence Bound For Join Cardinality Estimation
[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs
Scalable Bayesian Transformed Gaussian Processes
Modeling confirmation bias and polarization
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
Using Neural Networks for Relation Extraction from Biomedical Literature
Distributed Stochastic Variance Reduced Gradient Methods
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
A new nature inspired modularity function adapted for unsupervised learning involving spatially embedded networks: A comparative analysis
In-situ Anomaly Detection in Additive Manufacturing with Graph Neural Networks
A Topological Study of Chaotic Iterations. Application to Hash Functions
Finding Solutions to Generative Adversarial Privacy
Minimum Variance Estimation of a Sparse Vector within the Linear Gaussian Model: An RKHS Approach
Supply Chain Due Diligence Risk Assessment for the EU: A Network Approach to estimate expected effectiveness of the planned EU directive
Riemannian Gradient Descent Method to Joint Blind Super-Resolution and Demixing in ISAC
Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
Superresolution method for data deconvolution by superposition of point sources
The Fifth International Students' Olympiad in Cryptography - NSUCRYPTO: problems and their solutions
Hyperplane arrangements in polymake
Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Design and Development of Low Cost Multi-Channel USB Data
Silas: High Performance, Explainable and Verifiable Machine Learning
Stronger Re-identification Attacks through Reasoning and Aggregation
T 2 of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
Long-Range Indoor Navigation with PRM-RL
Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study
Ignorance is Bliss? The Effect of Explanations on Perceptions of Voice Assistants
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
Cooperative Games with Overlapping Coalitions: Charting the Tractability Frontier
How mass surveillance can crowd out installations of COVID-19 contact tracing apps
Linear Range in Gradient Descent
Randomized single-view algorithms for low-rank matrix approximation
Material-informed Gaussian Splatting for 3D World Reconstruction in a Digital Twin
LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label System
Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset
ECG beats classification via online sparse dictionary and time pyramid matching
Horn-ICE Learning for Synthesizing Invariants and Contracts
Microtask crowdsourcing for disease mention annotation in PubMed abstracts
Numerical Solution of Initial Value Problems
Data Mining definition services in Cloud Computing with Linked Data
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
Management of Multiple Mobility Protocols and Tools in Dynamically Configurable Networks
LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion
Large-Scale Vandalism Detection with Linear Classifiers - The Conkerberry Vandalism Detector at WSDM Cup 2017
Continual Classification Learning Using Generative Models
Maximum Power Point Tracking Circuit for an Energy Harvester in 130 nm CMOS Technology
Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
Adaptive Metamorphic Testing with Contextual Bandits
Second-Order and Moderate Deviation Asymptotics for Successive Refinement
Body-worn triaxial accelerometer coherence and reliability related to static posturography in unilateral vestibular failure
PSTMonitor: Monitor Synthesis from Probabilistic Session Types
C-DIRA: Computationally Efficient Dynamic ROI Routing and Domain-Invariant Adversarial Learning for Lightweight Driver Behavior Recognition
A Security Evaluation Framework for U.K. E-Goverment Services Agile Software Development
Using dynamic loss weighting to boost improvements in forecast stability
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks
Indian Regional Movie Dataset for Recommender Systems
Dynamic Network of Concepts from Web-Publications
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store
Deep Scattering Spectrum germaneness to Fault Detection and Diagnosis for Component-level Prognostics and Health Management (PHM)
Feedback linearization of nonlinear differential-algebraic control systems
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
Comparing Deep Neural Nets with UMAP Tour
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
Improved steady-state stability of power grids with a communication infrastructure
Voice Aging with Audio-Visual Style Transfer
Confidence-Guided Radiology Report Generation
Synthetic aperture imaging of dispersive targets
Does elastic stress modify the equilibrium corner angle?
Approximation and bounding techniques for the Fisher-Rao distances
Autonomous Energy Management system achieving piezoelectric energy harvesting in Wireless Sensors
CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization
An Analytical Framework to Enhance Autonomous Vehicle Perception for Smart Cities
Intelligent Paging Strategy for Multi-Carrier CDMA System
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
Randen - fast backtracking-resistant random generator with AES+Feistel+Reverie
Top of the Heap: Efficient Memory Error Protection for Many Heap Objects
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
Characterization of 3D surface topography in 5-axis milling
GPS Signal Acquisition via Compressive Multichannel Sampling
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
Convergence of a class of gradient-free optimisation schemes when the objective function is noisy, irregular, or both
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
UniStateDLO: Unified Generative State Estimation and Tracking of Deformable Linear Objects Under Occlusion for Constrained Manipulation
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Notes on the discretization of TV-norm regularized inverse potential problems
Can You Read Me Now? Content Aware Rectification using Angle Supervision
U.S. Election Hardens Hate Universe
FPT approximations for Capacitated Sum of Radii and Diameters
Weighted Data Spaces for Correlation Based Array Imaging in Experimental Aeroacoustics
NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples
IMAP: Individual huMAn mobility Patterns visualizing platform
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
Automatic Library Version Identification, an Exploration of Techniques
Trotter Kato Theorem for Bi Continuous Semigroups and Approximation of PDEs
Dissecting Person Re-identification from the Viewpoint of Viewpoint
A Simple Class Decision Balancing for Incremental Learning
Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
Efficient Analytical Derivatives of Rigid-Body Dynamics using Spatial Vector Algebra
Magnetic activity of ultracool dwarfs in the LAMOST DR11
Reliability-Adjusted Prioritized Experience Replay
Catching Loosely Synchronized Behavior in Face of Camouflage
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
Designing Security and Privacy Requirements in Internet of Things: A Survey
Survey on Enterprise Internet-of-Things Systems (E-IoT): A Security Perspective
Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models
The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
ExClaim: Explainable Neural Claim Verification Using Rationalization
TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding
Training Normalizing Flows with the Precision-Recall Divergence
Comparative Study of Various VOIP Applications in 802.11a Wireless Network Scenario
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments
Optimal and Robust Power Allocation for Visible Light Positioning Systems under Illumination Constraints
Self-aware Social Learning over Graphs
A Formal Refutation of the Blockchain Trilemma
Seq2seq Translation Model for Sequential Recommendation
Beyond Release: Access Considerations for Generative AI Systems
The Saudi Privacy Policy Dataset
Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
Invertible Mask Network for Face Privacy-Preserving
Hybrid Kinematic Control for Rigid Body Pose Stabilization using Dual Quaternions
A Hierarchical Decision-Based Maintenance for a Complex Modular System Driven by the { MoMA} Algorithm
On Dynamic Precision Scaling
Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data
Scalability of Controlling Heterogenous Stress-Engineered MEMS Microrobots (MicroStressBots) through Common Control Signal using Electrostatic Hysteresis
Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip
NeRO: Neural Road Surface Reconstruction
The Role of Cost in the Integration of Security Features in Integrated Circuits for Smart Cards
Lightning Helmholtz Solver
Some Reflections on Sliding Mode Designs in Control Systems: An Example of Adaptive Tracking Control for Simple Mechanical Systems With Friction Without Measurement of Velocity
A Dynamic Preference Logic for reasoning about Agent Programming
From Earth to Space: A First Deployment of 5G Core Network on Satellite
A vertical slice frontogenesis test case for compressible nonhydrostatic dynamical cores of atmospheric models
Improving Virtual Try-On with Garment-focused Diffusion Models
A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
Optimal rounding under integer constraints
Academic Network Representation via Prediction-Sampling Incorporated Tensor Factorization
Functional Controllability, Functional Stabilisability, and the Generalised Separation Principle
Correspondences between partitions
Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs
Identifying Protein-Protein Interaction using Tree LSTM and Structured Attention
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
Collaboration in an Open Data eScience: A Case Study of Sloan Digital Sky Survey
Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning
Intrinsic Geometric Vulnerability of High-Dimensional Artificial Intelligence
Design Level Metrics to Measure the Complexity Across Versions of AO Software
Epi 2 -Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Pose-based Modular Network for Human-Object Interaction Detection
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Supervised attention for speaker recognition
ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites
Towards a Multi-Agent System Architecture for Supply Chain Management
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets
Temporal Learning and Sequence Modeling for a Job Recommender System
A New Re-redistribution Scheme for Weighted State Redistribution with Adaptive Mesh Refinement
sEMG-based Gesture-Free Hand Intention Recognition: System, Dataset, Toolbox, and Benchmark Results
Unsupervised Learning through Prediction in a Model of Cortex
The Chan-Vese Model with Elastica and Landmark Constraints for Image Segmentation
SCDP: Systematic Rateless Coding for Efficient Data Transport in Data Centres
NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
Towards an analogue of Cobham's theorem for beta-numerations
Advancements in Crop Analysis through Deep Learning and Explainable AI
Integer Division by Constants: Optimal Bounds
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images
Quantum Structure in Cognition, Origins, Developments, Successes and Expectations
Not All Personas Are Worth It: Culture-Reflective Persona Data Augmentation
Distributed Learning and Inference with Compressed Images
InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping
ISIC 2018-A Method for Lesion Segmentation
On the Number of Real Types of Univariate Polynomials
Tree-structured Ising models can be learned efficiently
A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
A tutorial on the range variant of asymmetric numeral systems
Computation of unirational fields (extended abstract)