yusuke1997/dblp-id-title huggingface dataset:
Understanding Expert Exploration in EHR Visualization Tools: The ParcoursVis Use Case
Whitening Black-Box Neural Networks
Learning in Unlabeled Networks - An Active Learning and Inference Approach
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
Metadata and provenance management
Probabilistic Analysis of Buffer Starvation in Markovian Queues
Precipitaion Nowcasting using Deep Neural Network
Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
Coding Techniques for Future Wi-Fi
Decomposing an information stream into the principal components
LoRAGuard: An Effective Black-box Watermarking Approach for LoRAs
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)
Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences
Using Big Data to Enhance the Bosch Production Line Performance: A Kaggle Challenge
Coordinated Multi-Valve Disturbance-Rejection Pressure Control for High-Altitude Test Stands via Exterior Penalty Functions
Complex Laplacian besed Cascade Formulation for Formation Control of Large Multi-Agent Network
Personalized Taste and Cuisine Preference Modeling via Images
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Reduced Complexity Optimal Detection of Binary Faster-than-Nyquist Signaling
BikeScenes: Online LiDAR Semantic Segmentation for Bicycles
Resource-Efficient Medical Report Generation using Large Language Models
An Algebraic Treatment of Recursion
Provenance for Regular Path Queries
Mincut pooling in Graph Neural Networks
Information and Causality in Promise Theory
SGFeat: Salient Geometric Feature for Point Cloud Registration
Random Access with Opportunity Detection in Wireless Networks
Benchmarking Deception Probes via Black-to-White Performance Boosts
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
Fair and Differentially Private Distributed Frequency Estimation
An Adaptive Robotics Framework for Chemistry Lab Automation
Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network
Fast convergence for of perfectly matched layers for scattering with periodic surfaces: the exceptional case
LEMUR Neural Network Dataset: Towards Seamless AutoML
Demonstration of Safe Electromagnetic Radiation Emitted by 5G Active Antenna Systems
An empirical study to understand how students use ChatGPT for writing essays and how it affects their ownership
Open source Differentiable ODE Solving Infrastructure
Actual problems of the approximation theory in metrics of discrete spaces on sets of summable periodic and almost periodic functions
Interleaved Gibbs Diffusion for Constrained Generation
DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques
Deep Learning with Energy-efficient Binary Gradient Cameras
High-Precision Climbing Robot Localization Using Planar Array UWB/GPS/IMU/Barometer Integration
Fusing Pseudo Labels with Weak Supervision for Dynamic Traffic Scenarios
AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation
Large-scale Ontological Reasoning via Datalog
Chaos and order in event-triggered control
Farspredict: A benchmark dataset for link prediction
Inpainting the Red Planet: Diffusion Models for the Reconstruction of Martian Environments in Virtual Reality
Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention
The Determinant Ratio Matrix Approach to Solving 3D Matching and 2D Orthographic Projection Alignment Tasks
Measuring Visibility using Atmospheric Transmission and Digital Surface Model
Stochastic Nonlinear Model Predictive Control with Efficient Sample Approximation of Chance Constraints
Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet
Predicting spatial distribution of Palmer Drought Severity Index
Semi-Supervised Learning by Label Gradient Alignment
On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction
Deep Depth Completion: A Survey
Synthesizing Tensor Transformations for Visual Self-attention
QueensCAMP: an RGB-D dataset for robust Visual SLAM
High-dimensional Spherical Range Reporting by Output-Sensitive Multi-Probing LSH
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
Hierarchical Optimization Time Integration for CFL-rate MPM Stepping
Distributed Decoding of Convolutional Network Error Correction Codes
Federated Offline Reinforcement Learning
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
Science based AI model certification for untrained operational environments with application in traffic state estimation
On the Spectral Bias of Deep Neural Networks
Near-linear Time Algorithms for Approximate Minimum Degree Spanning Trees
Vibration Analysis and Mitigation in Semiconductor Motion Stages Using DMAIC Methodology- A Case Study
Hausdorff Distance between Norm Balls and their Linear Maps
We will DAG you
Generative Human Geometry Distribution
Celer Network: Bring Internet Scale to Every Blockchain
Multi-Modal Super Resolution for Dense Microscopic Particle Size Estimation
A Sparsity Algorithm with Applications to Corporate Credit Rating
B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
Towards Universal Atomic Composability: A Formal Model for Multi-Rollup Environments on Ethereum
Conditions for minimally tough graphs
Rules of Acquisition for Mementos and Their Content
An Empirical Study of Deep Learning Sentiment Detection Tools for Software Engineering in Cross-Platform Settings
How are scientific works viewed?
PV-SSD: A Projection and Voxel-based Double Branch Single-Stage 3D Object Detector
Probability of collision in nonlinear dynamics by moment propagation
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving
On the Generalized Degrees of Freedom of Noncoherent Interference Channel
Online Discrepancy Minimization via Persistent Self-Balancing Walks
An Optimization Method For Slice Interpolation Of Medical Images
Resilient Consensus of Second-Order Agent Networks: Asynchronous Update Rules with Delays
Massively scalable stencil algorithm
TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective Priors
Can We Talk? An Exploratory Study of Gender and Network Ties in a Local Government Setting
Analysing Explanation-Related Interactions in Collaborative Perception-Cognition-Communication-Action
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning
The weakening relationship between the Impact Factor and papers' citations in the digital age
Two Independent Teachers are Better Role Model
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models
Algorithms and data structures for automatic precision estimation of neural networks
Decoder for Nonbinary CWS Quantum Codes
A Game-theoretic Perspective on Communication for Omniscience
SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending
Automate Knowledge Concept Tagging on Math Questions with LLMs
Mugs: A Multi-Granular Self-Supervised Learning Framework
SNAT-YOLO: Efficient Cross-Layer Aggregation Network for Edge-Oriented Gangue Detection
Toward Fully Coordinated Multi-level Multi-carrier Energy Efficient Networks
Detecting Temporal Correlation via Quantum Random Number Generation
Good practices for Bayesian Optimization of high dimensional structured spaces
RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
Traffic-driven model of the World Wide Web graph
On Green Energy Powered Cognitive Radio Networks
Accountability Infrastructure: How to implement limits on platform optimization to protect population health
A Trust-Guided Approach to MR Image Reconstruction with Side Information
Adaptive Non-Uniform Compressive Sensing using SOT-MRAM Multibit Crossbar Arrays
A space-time Trefftz discontinuous Galerkin method for the linear Schrödinger equation
Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach
An Integrated System for 3D Gaze Recovery and Semantic Analysis of Human Attention
Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve
Enhancing the OPEN Process Framework with Service-Oriented Method Fragments
Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions
Matching Statistics speed up BWT construction
Solving a tropical optimization problem via matrix sparsification
Software model refactoring based on performance analysis: better working on software or performance side?
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images
Enhancing Certifiable Robustness via a Deep Model Ensemble
Core-elements Subsampling for Alternating Least Squares
Accelerated Option Pricing in Multiple Scenarios
Code-switching in text and speech reveals information-theoretic audience design
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
Enriched C 1 finite elements for crack problems in simplified strain gradient elasticity
A Real-time Cargo Damage Management System via a Sorting Array Triangulation Technique
Unconstrained Salient and Camouflaged Object Detection
Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection
Popularity, stability, and the dominant matching polytope
Interactive Sound Rendering on Mobile Devices using Ray-Parameterized Reverberation Filters
Simulating Generative Social Agents via Theory-Informed Workflow Design
Security of Language Models for Code: A Systematic Literature Review
Searching for a practical evidence of the No Free Lunch theorems
Cyber Security Awareness Campaigns: Why do they fail to change behaviour?
Robust Learning-based Predictive Control for Constrained Nonlinear Systems
Distributed Learning for Cooperative Inference
Theory-based Habit Modeling for Enhancing Behavior Prediction
Group polarization, influence, and domination in online interaction networks: A case study of the 2022 Brazilian elections
ACDC: $α$-Carving Decision Chain for Risk Stratification
Partially Observed Dynamic Tensor Response Regression
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
MVD: A Novel Methodology and Dataset for Acoustic Vehicle Type Classification
Joint Dereverberation and Separation with Iterative Source Steering
Pinky: A Modern Malware-oriented Dynamic Information Retrieval Tool
Precoded Chebyshev-NLMS based pre-distorter for nonlinear LED compensation in NOMA-VLC
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Towards Efficient Design Verification - Constrained Random Verification using PyUVM
Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning
On the Equation $x^{2^l+1}+x+a=0$ over $\mathrm{GF}(2^k)$ (Extended Version)
Probabilistic Tagging with Feature Structures
HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
Implementing blind navigation through multi-modal sensing and gait guidance
Emergenet: A Digital Twin of Sequence Evolution for Scalable Emergence Risk Assessment of Animal Influenza A Strains
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning
Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
On the Potential of Network-Based Features for Fraud Detection
An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data
Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process
ChatISA: A Prompt-Engineered Chatbot for Coding, Project Management, Interview and Exam Preparation Activities
KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference
BotGraph: Web Bot Detection Based on Sitemap
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Kinodynamic Motion Planning: A Novel Type Of Nonlinear, Passive Damping Forces And Advantages
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
Compiling ONNX Neural Network Models Using MLIR
Optimal Power Flow with State Estimation In-the-Loop for Distribution Networks
Information Cocoons on Social Media: Why and How Should the Government Regulate Algorithms
On global convergence of consensus with nonlinear feedback, the Lure problem, and some applications
Feature-Based Generalized Gaussian Distribution Method for NLoS Detection in Ultra-Wideband (UWB) Indoor Positioning System
tsdownsample: high-performance time series downsampling for scalable visualization
Some Notes on Polyadic Concept Analysis
Incorporating LLM Priors into Tabular Learners
When is a Prediction Knowledge?
On computing the Hermite form of a matrix of differential polynomials
Using LSTMs for climate change assessment studies on droughts and floods
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
Towards classification-based representation learning for place recognition on LiDAR scans
More than Word Frequencies: Authorship Attribution via Natural Frequency Zoned Word Distribution Analysis
What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages
Distill Gold from Massive Ores: Efficient Dataset Distillation via Critical Samples Selection
Asymmetric Generative Adversarial Networks for Image-to-Image Translation
Classification of jujube fruit based on several pricing factors using machine learning methods
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Evaluating Magic Leap 2 Tool Tracking for AR Sensor Guidance in Industrial Inspections
Hierarchical Sequence to Sequence Voice Conversion with Limited Data
AEGIS: Towards Formalized and Practical Memory-Safe Execution of C programs via MSWASM
PyramidStyler: Transformer-Based Neural Style Transfer with Pyramidal Positional Encoding and Reinforcement Learning
Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows
SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering
Discrete-Time Implementation of Explicit Reference Governor
Improving Alignment Between Human and Machine Codes: An Empirical Assessment of Prompt Engineering for Construct Identification in Psychology
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
CDS Rate Construction Methods by Machine Learning Techniques
Weighted Recursive Least Square Filter and Neural Network based Residual Echo Suppression for the AEC-Challenge
Asymptotic Average Mutual Information Over Finite Input Mixture Gamma Distributed Channels
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
A Random Forest-based Prediction Model for Turning Points in Antagonistic Event-Group Competitions
On The Reproducibility Limitations of RAG Systems
Consequences of Optimality
Combining datasets to increase the number of samples and improve model fitting
Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health
A network analysis of Sibiu County, Romania
Unsupervised clustering of series using dynamic programming
ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language Model
Space-Air-Ground Integrated MEC-Assisted Industrial Cyber-Physical Systems: An Online Decentralized Optimization Approach
Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space
Text Classification and Clustering with Annealing Soft Nearest Neighbor Loss
Self-Supervised Representation Learning for RGB-D Salient Object Detection
MIMO Based Multimedia Communication System
A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter
Multimode Diagnosis for Switched Affine Systems with Noisy Measurement
Would you trust a vehicle merging into your lane? Subjective evaluation of negotiating behaviour in a congested merging scenario
SIDEs: Separating Idealization from Deceptive Explanations in xAI
Changepoint detection for high-dimensional time series with missing data
Preconditioning of a hybridizable discontinuous Galerkin method for Biot's consolidation model
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused FCN
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data
A Non-Interventionist Approach to Causal Reasoning based on Lewisian Counterfactuals
PatentsView-Evaluation: Evaluation Datasets and Tools to Advance Research on Inventor Name Disambiguation
Constraint Satisfaction Problem Dichotomy for Finite Templates: a Proof Via Local Consistency
Parametrizing filters of a CNN with a GAN
All-Spin Bayesian Neural Networks
A new proof of Grinberg Theorem based on cycle bases
Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied to Electroencephalography (EEG) Microstate Sequences
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
Banking 2.0: The Stablecoin Banking Revolution - How Digital Assets Are Reshaping Global Finance
Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction
CHAD-KG: A Knowledge Graph for Representing Cultural Heritage Objects and Digitisation Paradata
PCM-TV-TFV: A Novel Two Stage Framework for Image Reconstruction from Fourier Data
Resource requirements and speed versus geometry of unconditionally secure physical key exchanges
Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire
Global Trie for Subterms
The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data
Analysis of Different Algorithmic Design Techniques for Seam Carving
Optimal Synthesis of Overconstrained 6R Linkages by Curve Evolution
DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
On the Effectiveness of Low-rank Approximations for Collaborative Filtering compared to Neural Networks
Large Language Model Routing with Benchmark Datasets
A Deep Learning based Approach to Automated Android App Testing
Fast Approximations and Coresets for (k, l)-Median under Dynamic Time Warping
3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds
CERES: Critical-Event Reconstruction via Temporal Scene Graph Completion
What Are They Filtering Out? A Survey of Filtering Strategies for Harm Reduction in Pretraining Datasets
Meta predictive learning model of languages in neural circuits
A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers
A model-based approach to recovering the structure of a plant from images
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
Efficient implementation of elementary functions in the medium-precision range
EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media
Predicting Memory Demands of BDD Operations using Maximum Graph Cuts (Extended Paper)
A Near-Field Focused Phased-Array Antenna Design Using the Time-Reversal Concept for Weed Control Purpose
An Optimized Machine Learning Classifier for Detecting Fake Reviews Using Extracted Features
Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
Improved Secure Address Resolution Protocol
Loss Minimization with Optimal Power Dispatch in Multi-Frequency HVac Power Systems
OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning
HPA: An Opportunistic Approach to Embedded Energy Efficiency
An improvement direction for filter selection techniques using information theory measures and quadratic optimization
Fundamental Limits of Bistatic Integrated Sensing and Communications over Memoryless Relay Channels
Continual Learning Approaches for Anomaly Detection
User-driven Privacy Enforcement for Cloud-based Services in the Internet of Things
Architecture of a Flexible and Cost-Effective Remote Code Execution Engine
PCA-based Category Encoder for Categorical to Numerical Variable Conversion
Seqret: Mining Rule Sets from Event Sequences
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image Segmentation
Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition
Cooperative Hierarchical Caching in 5G Cloud Radio Access Networks (C-RANs)
Understanding the Nature of Depth-1 Equivariant Quantum Circuit
Optimizing substructure search: a novel approach for efficient querying in large chemical databases
A sub-constant improvement in approximating the positive semidefinite Grothendieck problem
A Distributed Approximation Algorithm for the Metric Uncapacitated Facility Location Problem in the Congest Model
Generalization bounds for graph convolutional neural networks via Rademacher complexity
Flexible Multitask Learning with Factorized Diffusion Policy
Multilingual Transfer Learning for Code-Switched Language and Speech Neural Modeling
Application of Contrastive Learning on ECG Data: Evaluating Performance in Japanese and Classification with Around 100 Labels
On numerical stability of recursive present value computation method
Reflective Oracles: A Foundation for Classical Game Theory
Workday's Approach to Secure and Compliant Cloud ERP Systems
Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension
Active Inference AI Systems for Scientific Discovery
Inverting The Generator Of A Generative Adversarial Network (II)
A Novel Algorithm for Compressive Sensing: Iteratively Reweighed Operator Algorithm (IROA)
Neural Stochastic Partial Differential Equations
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
Local and Global Structure Preservation Based Spectral Clustering
Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization
Self-Sustained And Coordinated Rhythmic Deformations With SMA For Controller-Free Locomotion
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR
Global optimization in the discrete and variable-dimension conformational space: The case of crystal with the strongest atomic cohesion
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
SnappyMeal: Design and Longitudinal Evaluation of a Multimodal AI Food Logging Application