yusuke1997/dblp-id-title huggingface dataset:
A pressure-stabilized projection Lagrange-Galerkin scheme for the transient Oseen problem
Learning Subgrid-Scale Models in Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier-Stokes Equations
Decision Models for Selecting Architecture Patterns and Strategies in Quantum Software Systems
Robust kernel-free quadratic surface twin support vector machine with capped L 1 -norm distance metric
Robust Meta Learning for Image based tasks
Slice-Aware Spoofing Detection in 5G Networks Using Lightweight Machine Learning
From Text to Tactic: Evaluating LLMs Playing the Game of Avalon
Teaching Software Metrology: The Science of Measurement for Software Engineering
A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards
An Occlusion Reasoning Scheme for Monocular Pedestrian Tracking in Dynamic Scenes
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
Intelligent Systems and Robotics: Revolutionizing Engineering Industries
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach
Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
A Novel X-Axis Tuning Fork Gyroscope with "8 Vertical Springs-Proofmass" Structure on (111)-Silicon
Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer
Real Time FPGA Based CNNs for Detection, Classification, and Tracking in Autonomous Systems: State of the Art Designs and Optimizations
MaxCUCL: Max-Consensus with Deterministic Convergence in Networks with Unreliable Communication
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrice
Learning based Predictive Error Estimation and Compensator Design for Autonomous Vehicle Path Tracking
LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing
Distributed Macro Calibration via Output Synchronization in Lossy Sensor Networks
How to craft a deep reinforcement learning policy for wind farm flow control
Multicore Applications in Real Time Systems
Analysis of Problem Tokens to Rank Factors Impacting Quality in VoIP Applications
Towards in-situ Psychological Profiling of Cybercriminals Using Dynamically Generated Deception Environments
Spintronic Switches for Ultra Low Energy On-Chip and Inter-Chip Current-Mode Interconnects
Continuous Classification Aggregation
TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models
Hole Detection for Increasing Coverage in Wireless Sensor Network Using Triangular Structure
A Comparison between the China Scientific and Technical Papers and Citations Database and the Science Citation Index in terms of journal hierarchies and inter-journal citation relations
Tensor Krylov subspace methods via the T-product for large Sylvester tensor equations
Post-transcriptional knowledge in pathway analysis increases the accuracy of phenotypes classification
The Complexity of Genetic Diversity: Sex with Two Chromosomes is Advantageous but Unpredictable
About the first eigenvector of the simple random walk killed upon exiting a large bounded domain
Determination of sizes of optimal three-dimensional optical orthogonal codes of weight three with the AM-OPP restriction
Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models
Nested Inequalities Among Divergence Measures
A Game Generative Network Framework with its Application to Relationship Inference
Enhancing Ayurvedic Diagnosis using Multinomial Naive Bayes and K-modes Clustering: An Investigation into Prakriti Types and Dosha Overlapping
A linear bound for the size of the finite terminal assembly of a directed non-cooperative tile assembly system
Digital Twin Empowered In-Vehicular Channel Modeling and Wireless Planning in the Terahertz Band
ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification
When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity
Bringing the RT-1-X Foundation Model to a SCARA robot
AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller
Prediction of the 2023 Turkish Presidential Election Results Using Social Media Data
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure
Intensional Cyberforensics
RHLE: Automatic Verification of ∀∃-Hyperproperties
Shared MF: A privacy-preserving recommendation system
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings
Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems
On the Geometry of Differential Privacy
Quality-Driven Disorder Handling for M-way Sliding Window Stream Joins
Abstraction and control techniques for non-stationary scheduling problems
Routing in Networks on Chip with Multiplicative Circulant Topology
Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers
LLMZip: Lossless Text Compression using Large Language Models
A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models
Asymptotics for The k-means
FEval-TTC: Fair Evaluation Protocol for Test-Time Compute
A new control- and management architecture for SDN-enabled quantum key distribution networks
Privileged Information Dropout in Reinforcement Learning
Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation
Understanding NTK Variance in Implicit Neural Representations
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation
Context Branching for LLM Conversations: A Version Control Approach to Exploratory Programming
Investigating the normal and tangential peeling behaviour of gecko spatulae using a coupled adhesion-friction model
Proceedings of the Second Conference on Uncertainty in Artificial Intelligence (1986)
On the Benefit of Generative Foundation Models for Human Activity Recognition
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
Class Means as an Early Exit Decision Mechanism
Mod2VQLS: a Variational Quantum Algorithm for Solving Systems of Linear Equations Modulo 2
Low-Loss Space in Neural Networks is Continuous and Fully Connected
Generation Constraint Scaling Can Mitigate Hallucination
Symbolic Music Data Version 1.0
Optimality and limitations of audio-visual integration for cognitive systems
NU-Class Net: A Novel Deep Learning-based Approach for Video Quality Enhancement
Computational Complexity of Three Central Problems in Itemset Mining
Burstiness and aging in social temporal networks
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis
Parameter-Efficient Neural CDEs via Implicit Function Jacobians
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
Anusaaraka: Machine Translation in Stages
Efficient Large Scale Clustering based on data partitioning
Virtualizing System and Ordinary Services in Windows-based OS-Level Virtual Machines
Towards predictive crowd based transport infrastructure monitoring system
Expert-driven Trace Clustering with Instance-level Constraints
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs
Blind Inversion using Latent Diffusion Priors
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method
How does the structure embedded in learning policy affect learning quadruped locomotion?
Correct Compilation of Semiring Contractions
Median of Means Sampling for the Keister Function
Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale
Optimal Sequence-Based LQG Control over TCP-like Networks Subject to Random Transmission Delays and Packet Losses
A Dynamic Tree Algorithm for On-demand Peer-to-peer Ride-sharing Matching
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework
Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks
MDS codes in the Doob graphs
A drone detector with modified backbone and multiple pyramid featuremaps enhancement structure (MDDPE)
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Social Sensors in Epidemiological Networks via Graph Eigenvectors
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation
An Effective and Robust Detector for Logo Detection
Self-training Room Layout Estimation via Geometry-aware Ray-casting
Modelling and discretization of flow in porous media with thin, full-tensor permeability inclusions
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing
Representations
Fingerprint recognition with embedded presentation attacks detection: are we ready?
A deep cut into Split Federated Self-supervised Learning
The possibility of making $138, 000 from shredded banknote pieces using computer vision
A Holistic Framework for Open Low-Power Internet of Things Technology Ecosystems
Visualizing Representational Dynamics with Multidimensional Scaling Alignment
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic
Multi-Objective Control Co-design Using Graph-Based Optimization for Offshore Wind Farm Grid Integration
Asynchronous Verifiable Secret-Sharing Protocols on a Good Day
Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning
A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
Asymmetric Byzantine Consensus
Time Warp on the Go (Updated Version)
On Energy Efficiency of Hybrid NOMA
Research on color recipe recommendation based on unstructured data using TENN
Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks
Amortising the Cost of Mutation Based Fault Localisation using Statistical Inference
Inferring short-term volatility indicators from Bitcoin blockchain
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
A robust shifted proper orthogonal decomposition: Proximal methods for decomposing flows with multiple transports
Online Edge Grafting for Efficient MRF Structure Learning
Joint Scheduling and Coding for Reliable, Latency-bounded Transmission over Parallel Wireless Links
A Hyperlogic for Strategies in Stochastic Games (Extended Version)
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
AI-Enabled Software and System Architecture Frameworks: Focusing on smart Cyber-Physical Systems (CPS)
Couples can be tractable: New algorithms and hardness results for the Hospitals / Residents problem with Couples
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
Selective Attention-based Modulation for Continual Learning
Multi-Connectivity in 5G mmWave Cellular Networks
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
Explicit Two-Sided Vertex Expanders Beyond the Spectral Barrier
A game-theoretic, market-based approach to extract flexibility from distributed energy resources
Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos
IoT Architectural Framework: Connection and Integration Framework for IoT Systems
VA-RED 2 : Video Adaptive Redundancy Reduction
Adversarial Activation Patching: A Framework for Detecting and Mitigating Emergent Deception in Safety-Aligned Transformers
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Word Clouds in the Wild
Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas
Link Prediction Approach to Recommender Systems
Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach
Diverse Semantic Image Editing with Style Codes
Information-Theoretic Limits of Strategic Communication
Foreign English Accent Adjustment by Learning Phonetic Patterns
Consistency of the Maximal Information Coefficient Estimator
Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images
Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger Manipulation
Full-Duplex Device-to-Device Collaboration for Low-Latency Wireless Video Distribution
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
Domain-Specific Constitutional AI: Enhancing Safety in LLM-Powered Mental Health Chatbots
Content-style disentangled representation for controllable artistic image stylization and generation
Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach
RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages
A spectrally accurate step-by-step method for the numerical solution of fractional differential equations
Energy Efficiency with Proportional Rate Fairness in Multi-Relay OFDM Networks
Heuristic computation of exact treewidth
BM-CL: Bias Mitigation through the lens of Continual Learning
Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance
Enhancing Collaboration Through Google Workspace: Assessing and Strengthening Current Practices
Parameterized Algorithms for Balanced Cluster Edge Modification Problems
A Blind-Mixing Scheme for Bitcoin based on an Elliptic Curve Cryptography Blind Digital Signature Algorithm
Fully-simulated Integration of Scamp5d Vision System and Robot Simulator
Terrain estimation via vehicle vibration measurement and cubature Kalman filtering
Approximation and regularity results for the Heston model and related processes
AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection
Informatics & dairy industry coalition: AI trends and present challenges
Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Quantum Sphere-Packing Bounds with Polynomial Prefactors
Big Data analytics. Three use cases with R, Python and Spark
Stable Attribute Group Editing for Reliable Few-shot Image Generation
GeneSIS-RT: Generating Synthetic Images for training Secondary Real-world Tasks
Gland Segmentation in Histopathology Images Using Random Forest Guided Boundary Construction
Hilbert Matrix Based Cryptosystem using a Session Key
SQS-graphs of Solov'eva-Phelps codes
A VIKOR and TOPSIS focused reanalysis of the MADM methods based on logarithmic normalization
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
An extended Perona-Malik model based on probabilistic models
Deep Learning for Short-Latency Epileptic Seizure Detection with Probabilistic Classification
Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
The General Expiration Streaming Model: Diameter, k -Center, Counting, Sampling, and Friends
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Benchmarking AIGC Video Quality Assessment: A Dataset and Unified Model
MTU: The Multifunction Tree Unit in zkSpeed for Accelerating HyperPlonk
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
A Statistical Model for Dynamic Networks with Neural Variational Inference
Neural Model-based Optimization with Right-Censored Observations
Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection
On the Capacity of Interference Channels with One Cooperating Transmitter
TTS-CtrlNet: Time varying emotion aligned text-to-speech generation with ControlNet
Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
AI Model Disgorgement: Methods and Choices
Adaptive Importance Sampling based Neural Network framework for Reliability and Sensitivity Prediction for Variable Stiffness Composite Laminates with hybrid uncertainties
System-theoretic approach to image interest point detection
Rethinking Data Augmentation in Knowledge Distillation for Object Detection
Simplicial complexes: higher-order spectral dimension and dynamics
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration
Sigma-Delta quantization of sub-Gaussian frame expansions and its application to compressed sensing
Symbolic Expansion of Transcendental Functions
Extracting Information-rich Part of Texts using Text Denoising
What We Don't Know About Spreadsheet Errors Today: The Facts, Why We Don't Believe Them, and What We Need to Do
Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State
How to read faces without looking at them
Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios
Cloud Provider Capacity Augmentation Through Automated Resource Bartering
Dynamic Thresholding Algorithm with Memory for Linear Inverse Problems
The quantum query complexity of approximating the median and related statistics
SealD-NeRF: Interactive Pixel-Level Editing for Dynamic Scenes by Neural Radiance Fields
Bioinspired Cortex-based Fast Codebook Generation
Making Pre-trained Language Models Good Long-tailed Learners
A Promise Theory Perspective on Data Networks
An Efficient Greedy Algorithm for Sparse Recovery in Noisy Environment
Empowering Visual Artists with Tokenized Digital Assets with NFTs
Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
ASIC-based Implementation of Synchronous Section-Carry Based Carry Lookahead Adders
Structural domination and coloring of some (P 7 , C 7 )-free graphs
Learning binary or real-valued time-series via spike-timing dependent plasticity
Cluster Activation Mapping with Applications to Medical Imaging
Elastic Data Transfer Optimization with Hybrid Reinforcement Learning
Lower Bounds for the Smoothed Number of Pareto optimal Solutions
Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving
Statistical Inference for Generative Models with Maximum Mean Discrepancy
Embedding a θ-invariant code into a complete one
High performance on-demand de-identification of a petabyte-scale medical imaging data lake
An efficient method for approximating resonance curves of weakly-damped nonlinear mechanical systems
Integrated Take-off Management and Trajectory Optimization for Merging Control in Urban Air Mobility Corridors
Towards Cross-Surface Immersion Using Low Cost Multi-Sensory Output Cues to Support Proxemics and Kinesics Across Heterogeneous Systems
Dynamic Homotopy and Landscape Dynamical Set Topology in Quantum Control
Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases
Evolving a New Feature for a Working Program
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search
Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes
Time to Stop and Think: What kind of research do we want to do?
Deep Learning in Computed Tomography Pulmonary Angiography Imaging: A Dual-Pronged Approach for Pulmonary Embolism Detection
High-order fully well-balanced numerical methods for one-dimensional blood flow with discontinuous properties, friction and gravity
Semi-supervised Cell Recognition under Point Supervision
DiscreTalk: Text-to-Speech as a Machine Translation Problem
Attacking and Defending Covert Channels and Behavioral Models
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
The Network of French Legal Codes
Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching
AIPO: Improving Training Objective for Iterative Preference Optimization
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification
An optimization-based equilibrium measure describes non-equilibrium steady state dynamics: application to edge of chaos
Node Flux-Linkage Synchronizing Control of Power Systems with 100% Wind Power Generation Based on Capacitor Voltage Balancing Scheme
Achievable Rates and Training Optimization for Fading Relay Channels with Memory
Gradient Domain Diffusion Models for Image Synthesis
The Traveling Salesman Problem Under Squared Euclidean Distances
Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA
Sum-Product Networks for Robust Automatic Speaker Recognition
Thermal Human face recognition based on Haar wavelet transform and series matching technique
Generalizing Face Forgery Detection with High-frequency Features
Score-based Enhanced Sampling for Protein Molecular Dynamics
Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
A Review of Computer Vision Technologies for Fish Tracking
FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset
Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion Models
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
MambaIO: Global-Coordinate Inertial Odometry for Pedestrians via Multi-Scale Frequency-Decoupled Modeling
A New Approach to Modeling and Analyzing Security of Networked Systems
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion
Pie: Pooling CPU Memory for LLM Inference
The artist libraries project
Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical Study
How Many Heads Make an SSM? A Unified Framework for Attention and State Space Models
Predicting the outcomes of policy diffusion from U.S. states to federal law
On the Constituent Attributes of Software and Organisational Resilience
Toward Human Understanding with Controllable Synthesis
Scaling Learning based Policy Optimization for Temporal Tasks via Dropout
HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination
Skel3D: Skeleton Guided Novel View Synthesis
Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints
Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction
Transduce: learning transduction grammars for string transformation
A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
Machine Learning at Scale
BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Deepfakes in Criminal Investigations: Interdisciplinary Research Directions for CMC Research
Identifying Emotion from Natural Walking
Development of a conditional diffusion model to predict process parameters and microstructures of dendrite crystals of matrix resin based on mechanical properties
Multi-threshold Deep Metric Learning for Facial Expression Recognition