yusuke1997/dblp-id-title huggingface dataset:
Airborne-Sound Analysis for the Detection of Bearing Faults in Railway Vehicles with Real-World Data
Random Projection in Deep Neural Networks
Stochastic Gradient Descent with Large Learning Rate
On robust overfitting: adversarial training induced distribution matters
Quantitative parametrization of texts written by Ivan Franko: An attempt of the project
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning
Initiating and Replicating the Observations of Interactional Properties by User Studies Optimizing Applicative Prototypes
A Row-Wise Update Algorithm for Sparse Stochastic Matrix Factorization
RevMine: An LLM-Assisted Tool for Code Review Mining and Analysis Across Git Platforms
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization
On the Resilience of a QKD Key Synchronization Protocol for IPsec
The ADI iteration for Lyapunov equations implicitly performs H2 pseudo-optimal model order reduction
A Methodology for Learning Players' Styles from Game Records
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning
An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch
Unconditionally positivity-preserving explicit order-one strong approximations of financial SDEs with non-Lipschitz coefficients
Efficient and stable diffusion generated methods for ground state computation in Bose-Einstein condensates
User Environment Detection with Acoustic Sensors Embedded on Mobile Devices for the Recognition of Activities of Daily Living
EigenGP: Gaussian process models with adaptive eigenfunctions
Multiconnectivity for SAGIN: Current Trends, Challenges, AI-driven Solutions, and Opportunities
An Enhanced Edge Adaptive Steganography Approach Using Threshold Value for Region Selection
Reversible adversarial examples against local visual perturbation
Statistical Proof of Execution (SPEX)
Gamma-matrices: a new class of simultaneously diagonalizable matrices
Promising and worth-to-try future directions for advancing state-of-the-art surrogates methods of agent-based models in social and health computational sciences
Anonymous On-line Communication Between Program Analyses
Towards Understanding Crypto Money Laundering in Web3 Through the Lenses of Ethereum Heists
Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases
PSA: The Packet Scheduling Algorithm for Wireless Sensor Networks
Optimal Transmission Policy for Cooperative Transmission with Energy Harvesting and Battery Operated Sensor Nodes
Training Neural Networks for Execution on Approximate Hardware
Are Time-Indexed Foundation Models the Future of Time Series Imputation?
A WSPD, Separator and Small Tree Cover for c-packed Graphs
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
Generating large-scale network analyses of scientific landscapes in seconds using Dimensions on Google BigQuery
Uncertainty Analysis of Simple Macroeconomic Models Using Angel-Daemon Games
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
Quantizing Large Language Models for Code Generation: A Differentiated Replication
Disentangled Representation Learning with Wasserstein Total Correlation
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Dynamic Pattern Based Image Steganography
Ancient Algorithms for a Modern Curriculum
Compiling Diderot: From Tensor Calculus to C
Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
Pragmatic Policy Development via Interpretable Behavior Cloning
Fall detection using multimodal data
Feature Construction and Selection for PV Solar Power Modeling
HCR-Net: A deep learning based script independent handwritten character recognition network
Towards Fine-Dining Recipe Generation with Generative Pre-trained Transformers
An Unconditionally Stable Space-Time FE Method for the Korteweg-de Vries Equation
Graphs for deep learning representations
Optimal Decision Rules for Composite Binary Hypothesis Testing under Neyman-Pearson Framework
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks
HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis
Beyond Nearest Neighbors: Semantic Compression and Graph-Augmented Retrieval for Enhanced Vector Search
Dither Signal Design for PAPR Reduction in OFDM-IM over a Rayleigh Fading Channel
Exploiting Robust Unsupervised Video Person Re-identification
AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Can information be spread as a virus? Viral Marketing as epidemiological model
Mutual Visibility by Luminous Robots Without Collisions
Logic Column 14: Nominal Logic and Abstract Syntax
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
Stochastic Model Predictive Control for Linear Systems using Probabilistic Reachable Sets
A Tight Composition Theorem for the Randomized Query Complexity of Partial Functions
LATTE: an atomic environment descriptor based on Cartesian tensor contractions
TabPert: An Effective Platform for Tabular Perturbation
Subverting Flexible Multiuser Communications via Movable Antenna-Enabled Jammer
CatGCN: Graph Convolutional Networks with Categorical Node Features
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification
Enhancing Physical Layer Security in LEO Satellite-Enabled IoT Network Communications
Channel Characterization of Diffusion-based Molecular Communication with Multiple Fully-absorbing Receivers
Domain Generalizable Portrait Style Transfer
Formalising the Krull Topology in Lean
FastONN - Python based open-source GPU implementation for Operational Neural Networks
RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Models
Global-Local Propagation Network for RGB-D Semantic Segmentation
On the Origin of Quantum Uncertainty
Identifying architectural design decisions for achieving green ML serving
Connecticut Redistricting Analysis
On Weakly Hausdorff Spaces and Locally Strongly Sober Spaces
Distance Is Not Dead: Social Interaction and Geographical Distance in the Internet Era
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
NLML - a Markup Language to Describe the Unlimited English Grammar
Optimal artificial boundary conditions based on second-order correctors for three dimensional random elliptic media
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks
Cross-domain Microscopy Cell Counting by Disentangled Transfer Learning
Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising
From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks
Evidence-based Hand Hygiene. Can You Trust the Fluorescent-based Assessment Methods?
Closing the Gaps: Optimality of Sample Average Approximation for Data-Driven Newsvendor Problems
Eigen Evolution Pooling for Human Action Recognition
Risk Limiting Dispatch with Ramping Constraints
Interdependent network reciprocity in evolutionary games
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping
The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction
Dynamics and Biases of Online Attention: The Case of Aircraft Crashes
Detecting malignant dynamics on very few blood sample using signature coefficients
Multi-input Multi-output Loewner Framework for Vibration-based Damage Detection on a Trainer Jet
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis
A Gentle Introduction to the Kernel Distance
Deep learning for word-level handwritten Indic script identification
Practical methods for graph two-sample testing
ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Prompting Large Language Models to Reformulate Queries for Moment Localization
Hierarchies in directed networks
Explaining the Performance of Multi-label Classification Methods with Data Set Properties
Learning generative models for valid knockoffs using novel multivariate-rank based statistics
Segmenting Collision Sound Sources in Egocentric Videos
Prediction Calibration for Generalized Few-shot Semantic Segmentation
Connecting the Unconnected - Sentiment Analysis of Field Survey of Internet Connectivity in Emerging Economies
Nash equilibria in Voronoi games on graphs
Eigenlogic in the spirit of George Boole
Blog Data Showdown: Machine Learning vs Neuro-Symbolic Models for Gender Classification
Stack Overflow in Github: Any Snippets There?
The st-Planar Edge Completion Problem is Fixed-Parameter Tractable
Nonrepetitive graph colouring
Are word boundaries useful for unsupervised language learning?
A Study on Fuzzy Systems
MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts
A practical method for the consistent identification of a module in a dynamical network
Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
No Finite Model Property for Logics of Quantified Announcements
RotLSTM: Rotating Memories in Recurrent Neural Networks
Semantic-aware Digital Twin for AI-based CSI Acquisition
Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments
Monitoring Data Minimisation
Sensitivity of quantum PageRank
Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns
Model-based gym environments for limit order book trading
A Tale of Unrealized Hope: Hardware Performance Counter Against Cache Attacks
Characterization of Magnetic Labyrinthine Structures through Junctions and Terminals Detection using Template Matching and CNN
Open Challenges in the Formal Verification of Autonomous Driving
Helmholtz boundary integral methods and the pollution effect
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration
Neural Cellular Automata: From Cells to Pixels
Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide
Past-present temporal programs over finite traces
Mapping illegal waste dumping sites with neural-network classification of satellite imagery
Reliable Web Services Approaches of Mobile CloudComputing: A Comparative study
Polygon Area Decomposition Using a Compactness Metric
Revisiting FastMap: New Applications
Improving position bias estimation against sparse and skewed dataset with item embedding
RPLUW/M: Enabling RPL on the Internet of Underwater Things
UICrit: Enhancing Automated Design Evaluation with a UICritique Dataset
A Randomized Algorithm for Edge-Colouring Graphs in O(m√n) Time
Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents
Unraveling the Mystery of Scaling Laws: Part I
Deciding and Interpolating Algebraic Data Types by Reduction (Technical Report)
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
Fully Evaluated Left-Sequential Logics
Adaptive Gray World-Based Color Normalization of Thin Blood Film Images
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression
Intentionally Unintentional: GenAI Exceptionalism and the First Amendment
Softening Fuzzy Knowledge Representation Tool with the Learning of New Words in Natural Language
On the finite element approximation of fourth order singularly perturbed eigenvalue problems
Kernel Spectral Clustering and applications
Efficient Model Performance Estimation via Feature Histories
GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants
FaceFormer: Scale-aware Blind Face Restoration with Transformers
CaLMFlow: Volterra Flow Matching using Causal Language Models
Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As
Discovering Valuable Items from Massive Data
MCompiler: A Synergistic Compilation Framework
Towards Deep Compositional Networks
Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates
Evaluation of Attention Mechanisms in U-Net Architectures for Semantic Segmentation of Brazilian Rock Art Petroglyphs
An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning
P: A Universal Measure of Predictive Intelligence
A novel recovery mechanism enabling fine-granularity locking and fast, REDO-only recovery
Accelerating QDP++/Chroma on GPUs
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
An End-to-End Network for Generating Social Relationship Graphs
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Infant hip screening using multi-class ultrasound scan segmentation
Virtually increasing the measurement frequency of LIDAR sensor utilizing a single RGB camera
On a Model for Integrated Information
Addressing Visual Impairments with Model-Driven Engineering: A Systematic Literature Review
KRC: KnowInG crowdsourcing platform supporting creativity and innovation
Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution
Privacy-Preserving Fair Synthetic Tabular Data
Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments
Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education
Theory is Shapes
Risk-Aware MMSE Estimation
Social Attention and the Provider's Dilemma
Terrain-adaptive Central Pattern Generators with Reinforcement Learning for Hexapod Locomotion
Constructing Balance from Imbalance for Long-tailed Image Recognition
DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo
Requirements-Driven Automated Software Testing: A Systematic Review
A Thermodynamic Turing Machine: Artificial Molecular Computing Using Classical Reversible Logic Switching Networks
Smooth InfoMax - Towards easier Post-Hoc interpretability
Situationally Induced Impairment in Navigation Support for Runners
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
Mining Positive and Negative Association Rules Using CoherentApproach
A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
Blackbox Model Provenance via Palimpsestic Membership Inference
Mammography Assessment using Multi-Scale Deep Classifiers
Hybrid LLM and Higher-Order Quantum Approximate Optimization for CSA Collateral Management
Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory
Adaptive Fractal-like Network Structure for Efficient Search of Inhomogeneously Distributed Targets at Unknown Positions
Ranking over Regression for Bayesian Optimization and Molecule Selection
Adversary-Guided Motion Retargeting for Skeleton Anonymization
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Interpretation as a factor in understanding flawed spreadsheets
Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) Framework
An Adaptive Multi-Layered Honeynet Architecture for Threat Behavior Analysis via Deep Learning
The Demise of Single-Authored Publications in Computer Science: A Citation Network Analysis
Face-work for Human-Agent Joint Decision-Making
Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs
PyNeuralFx: A Python Package for Neural Audio Effect Modeling
Distinction between features extracted using deep belief networks
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
A Dual-Cluster-Head Based Medium Access Control for Large-Scale UAV Ad-Hoc Networks
Hybrid-Quantum Neural Architecture Search for The Proximal Policy Optimization Algorithm
On Semimeasures Predicting Martin-Loef Random Sequences
ePose: Let's Make EfficientPose More Generally Applicable
Genre-conditioned Acoustic Models for Automatic Lyrics Transcription of Polyphonic Music
Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach
Context is Everything: Finding Meaning Statistically in Semantic Spaces
Application and Benchmark of SPH for Modeling the Impact in Thermal Spraying
A Non-Standard Finite Difference Scheme for MHD Boundary Layer Fluid Flow
Source Printer Classification using Printer Specific Local Texture Descriptor
Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training
Non-Euclidean High-Order Smooth Convex Optimization
Pseudo-Label Enhanced Cascaded Framework: 2nd Technical Report for LSVOS 2025 VOS Track
RCUKF: Data-Driven Modeling Meets Bayesian Estimation
Model Checking Techniques for Verification of an Encryption Scheme for Wireless Sensor Networks
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Shape optimization for the Laplacian eigenvalue over triangles and its application to interpolation error constant estimation
A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems
Continual Contrastive Self-supervised Learning for Image Classification
Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning
Outsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection
Spanish Resource Grammar version 2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
Decoding the Digital Fine Print: Navigating the potholes in Terms of service/ use of GenAI tools against the emerging need for Transparent and Trustworthy Tech Futures
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies
Incremental Exponential Stability of the Unidirectional Flow Model
DRCD: a Chinese Machine Reading Comprehension Dataset
Incremental Few-Shot Learning via Implanting and Compressing
NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem
LiveTradeBench: Seeking Real-World Alpha with Large Language Models
Efficient classical simulation of random shallow 2D quantum circuits
FogROS2-Sky: Optimizing Latency and Cost for Multi-Cloud Robot Applications
Parsing with Principles and Probabilities
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
Arcee: An OCM-Solver
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Unsupervised Facial Expression Representation Learning with Contrastive Local Warping
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach
An eXtended HDG method for Darcy-Stokes-Brinkman interface problems
Analysis of Group Multiuser Detection Based on Coalitional Game
Epidemic-like Proximity-based Traffic Offloading
NNRU, a noncommutative analogue of NTRU
Introduction to Multi-Agent Simulation
Interactive introduction to self-calibrating interfaces
DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras
Active Dictionary Learning in Sparse Representation Based Classification
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Masked conditional variational autoencoders for chromosome straightening
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
When is gray-box modeling advantageous for virtual flow metering?
Denominator Bounds for Systems of Recurrence Equations using $ΠΣ$-Extensions
An n H k -compressed searchable partial-sums data structure for static sequences of sublogarithmic positive integers
Multi-Frequency Canonical Correlation Analysis (MFCCA): An Extended Decoding Algorithm for Multi-Frequency SSVEP
From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development
Design and Analysis of a Robotic Lizard using Five-Bar Mechanism
WEcharge: democratizing EV charging infrastructure
Enhancing Guardrails for Safe and Secure Healthcare AI
A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving Cars
Dynamic Bipedal MPC with Foot-level Obstacle Avoidance and Adjustable Step Timing
SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
Various Ways to Quantify BDMPs
RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation
Mechanism Design with Delegated Bidding
Do optimization methods in deep learning applications matter?
Inference Performance Optimization for Large Language Models on CPUs
Diffusion Model Regularized Implicit Neural Representation for CT Metal Artifact Reduction
System Modeling of Microfluidic Molecular Communication: A Markov Approach
Poor Peering: a reflexion about a RIXP
Web-based Experiment on Human Performance in Dual-Robot Teleoperation
Multi-User MIMO with flexible numerology for 5G
INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with Language Explanations
Isolation and connectivity in random geometric graphs with self-similar intensity measures
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
One-Shot Transfer Learning for Nonlinear PDEs with Perturbative PINNs
Local Universal Rule-based Explanations
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
MetaOcc: Surround-View 4D Radar and Camera Fusion Framework for 3D Occupancy Prediction with Dual Training Strategies
Nonparametric Density Estimation from Markov Chains
FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor
Real-Time Multilingual Sign Language Processing
A Secure and Privacy-Friendly Logging Scheme
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition
Explaining Reinforcement Learning: A Counterfactual Shapley Values Approach