yusuke1997/dblp-id-title huggingface dataset:
Deterministic Coresets for k-Means of Big Sparse Data †
Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph
The Study of Multiple Classes Boosting Classification Method Based on Local Similarity
Hybrid Stochastic-Machine Learning Framework for Postprandial Glucose Prediction in Type 1 Diabetes
Efficient Strategies Algorithms for Resource Allocation Problems
Bayesian Estimation of Simultaneous Regression Quantiles Using Hamiltonian Monte Carlo
Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0
Secant-Type Iterative Classes for Nonlinear Equations with Multiple Roots
Gain and Pain in Graph Partitioning: Finding Accurate Communities in Complex Networks
Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey
Spike-Weighted Spiking Neural Network with Spiking Long Short-Term Memory: A Biomimetic Approach to Decoding Brain Signals
Metaheuristics for a Flow Shop Scheduling Problem with Urgent Jobs and Limited Waiting Times
Adaptive Tolerance Dehazing Algorithm Based on Dark Channel Prior
Difference-Based Mutation Operation for Neuroevolution of Augmented Topologies
Addressing Air Pollution Challenges: An Integrated Algorithmic Approach Towards Safeguarding Built Heritage
Graph Theory Approach to the Vulnerability of Transportation Networks
Study on Multi-Objective Optimization-Based Climate Responsive Design of Residential Building
Forecasting Economy-Related Data Utilizing Weight-Constrained Recurrent Neural Networks
Enhancing Metaheuristic Optimization: A Novel Nature-Inspired Hybrid Approach Incorporating Selected Pseudorandom Number Generators
Informer-WGAN: High Missing Rate Time Series Imputation Based on Adversarial Training and a Self-Attention Mechanism
RUemo - The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning
Chronotype, Risk and Time Preferences, and Financial Behaviour
Simplified Routing Mechanism for Capsule Networks
Dynamic Events in the Flexible Job-Shop Scheduling Problem: Rescheduling with a Hybrid Metaheuristic Algorithm
Predictive Current Control of Boost Three-Level and T-Type Inverters Cascaded in Wind Power Generation Systems
FocusNet: A Lightweight Insulator Defect Detection Network via First-Order Taylor Importance Assessment and Knowledge Distillation
Numerical Algorithms for Identification of Convection Coefficient and Source in a Magnetohydrodynamics Flow
On Edge Pruning of Communication Networks under an Age-of-Information Framework
2D/3D Pattern Formation Comparison Using Spectral Methods to Solve Nonlinear Partial Differential Equations of Condensed and Soft Matter
Expanding the Applicability of Some High Order Househölder-Like Methods
An Algorithm for Part Input Sequencing of Flexible Manufacturing Systems with Machine Disruption
Protograph LDPC Code Design for Asynchronous Random Access
Editorial: Special Issue on Algorithms for Sequence Analysis and Storage
An Algebraic Approach to Identifiability
Binary Horse Optimization Algorithm for Feature Selection
A Combined Syntactical and Statistical Approach for R Peak Detection in Real-Time Long-Term Heart Rate Variability Analysis
Proving Fixed-Point Theorems Employing Fuzzy (σ, 𝒵)-Contractive-Type Mappings
Genz and Mendell-Elston Estimation of the High-Dimensional Multivariate Normal Distribution
Synchronization, Control and Data Assimilation of the Lorenz System
Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects
Two Hesitant Multiplicative Decision-Making Algorithms and Their Application to Fog-Haze Factor Assessment Problem
Combinatorial Generation Algorithms for Some Lattice Paths Using the Method Based on AND/OR Trees
Navigating the Maps: Euclidean vs. Road Network Distances in Spatial Queries
Solon: A Holistic Approach for Modelling, Managing and Mining Legal Sources
Pitfalls in Metaheuristics Solving Stoichiometric-Based Optimization Models for Metabolic Networks
Pavement Defect Segmentation in Orthoframes with a Pipeline of Three Convolutional Neural Networks
Utilizing Network Structure to Accelerate Markov Chain Monte Carlo Algorithms
Metamorphic Testing of Relation Extraction Models
A Scheduling Solution for Robotic Arm-Based Batching Systems with Multiple Conveyor Belts
Matrix Adaptation Evolution Strategy with Multi-Objective Optimization for Multimodal Optimization
Novel MIA-LSTM Deep Learning Hybrid Model with Data Preprocessing for Forecasting of PM2.5
Gray Wolf Optimization Algorithm for Multi-Constraints Second-Order Stochastic Dominance Portfolio Optimization
A Method for Calculating Whole-Genome Sequencing Outcomes from Trio Data
Branch and Price Algorithm for Multi-Trip Vehicle Routing with a Variable Number of Wagons and Time Windows
Fast Structural Alignment of Biomolecules Using a Hash Table, N-Grams and String Descriptors
Advanced Fault Detection in Power Transformers Using Improved Wavelet Analysis and LSTM Networks Considering Current Transformer Saturation and Uncertainties
Mathematical Programming in Computational Biology: an Annotated Bibliography
CaAIS: Cellular Automata-Based Artificial Immune System for Dynamic Environments
Fuzzy C-Means Clustering Algorithm with Multiple Fuzzification Coefficients
A Bayesian Algorithm for Functional Mapping of Dynamic Complex Traits
Evaluating the Effectiveness of Large Language Models (LLMs) Versus Machine Learning (ML) in Identifying and Detecting Phishing Email Attempts
Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model
Image Edge Detector with Gabor Type Filters Using a Spiking Neural Network of Biologically Inspired Neurons
A Procedure for Identification of Appropriate State Space and ARIMA Models Based on Time-Series Cross-Validation
Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines
A Comparative Analysis of U-Net Architectures with Dimensionality Reduction for Agricultural Crop Classification Using Hyperspectral Data
An Efficient Local Search for the Feedback Vertex Set Problem
Classification of Program Texts Represented as Markov Chains with Biology-Inspired Algorithms-Enhanced Extreme Learning Machines
GPU Algorithms for Structured Sparse Matrix Multiplication with Diagonal Storage Schemes
New Bipartite Graph Techniques for Irregular Data Redistribution Scheduling
Application of Imperialist Competitive Algorithm on Solving the Traveling Salesman Problem
A Greedy Heuristic for Maximizing the Lifetime of Wireless Sensor Networks Based on Disjoint Weighted Dominating Sets
Neural PD Controller for an Unmanned Aerial Vehicle Trained with Extended Kalman Filter
Properties of the Quadratic Transformation of Dual Variables
A Novel Blind Restoration and Reconstruction Approach for CT Images Based on Sparse Representation and Hierarchical Bayesian-MAP
Using Explainable Machine Learning to Explore the Impact of Synoptic Reporting on Prostate Cancer
An Algorithm for Managing Aircraft Movement on an Airport Surface
Prime Time Tactics - Sieve Tweaks and Boosters
The Diagnostic Classification of the Pathological Image Using Computer Vision
A Clinical Decision Support Framework for Incremental Polyps Classification in Virtual Colonoscopy
Editorial for the Special Issue on "Recent Advances in Nonsmooth Optimization and Analysis"
An Effective Decomposition-Based Stochastic Algorithm for Solving the Permutation Flow-Shop Scheduling Problem
Evolutionary Hybrid Particle Swarm Optimization Algorithm for Solving NP-Hard No-Wait Flow Shop Scheduling Problems
Adaptive Quick Reduct for Feature Drift Detection
Data Preprocessing Method and API for Mining Processes from Cloud-Based Application Event Logs
A Two-Stage Bin Packing Algorithm for Minimizing Machines and Operators in Cyclic Production Systems
In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning
Unsupervised Temporal Adaptation in Skeleton-Based Human Action Recognition
Ensembles of Random SHAPs
A Multiobjective Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Time Windows
A Pattern Recognition Analysis of Vessel Trajectories
Efficient and Portable Distribution Modeling for Large-Scale Scientific Data Processing with Data-Parallel Primitives
Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation
Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis
Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring
Sybil in the Haystack: A Comprehensive Review of Blockchain Consensus Mechanisms in Search of Strong Sybil Attack Resistance
Safe Path Planning of Mobile Robot Based on Improved A* Algorithm in Complex Terrains
Apollonian Packing of Circles within Ellipses
Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning
Periodicity Intensity Reveals Insights into Time Series Data: Three Use Cases
Fully Automatic Operation Algorithm of Urban Rail Train Based on RBFNN Position Output Constrained Robust Adaptive Control
GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification
Nonparametric Estimation of Continuously Parametrized Families of Probability Density Functions - Computational Aspects
LSTM Accelerator for Convolutional Object Identification
Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications
An Improved Bi-LSTM-Based Missing Value Imputation Approach for Pregnancy Examination Data
Minimizing Interference-to-Signal Ratios in Multi-Cell Telecommunication Networks
Unmanned Aerial Vehicles (UAV) Networking Algorithms: Communication, Control, and AI-Based Approaches
Prioritizing Construction Labor Productivity Improvement Strategies Using Fuzzy Multi-Criteria Decision Making and Fuzzy Cognitive Maps
A Scalable Framework for Sensor Data Ingestion and Real-Time Processing in Cloud Manufacturing
Communication-Efficient Vertical Federated Learning
Machine Learning for Early Outcome Prediction in Septic Patients in the Emergency Department
The Algorithm of Gu and Eisenstat and D-Optimal Design of Experiments
Comparative Analysis of Recurrent Neural Networks in Stock Price Prediction for Different Frequency Domains
A Dilemma-Based Learning-to-Rank Approach for Generative Design in Urban Architectural Regeneration
A Bayesian Multi-Armed Bandit Algorithm for Dynamic End-to-End Routing in SDN-Based Networks with Piecewise-Stationary Rewards
A Statistical Approach to Discovering Process Regime Shifts and Their Determinants
Merging Discrete Morse Vector Fields: A Case of Stubborn Geometric Parallelization
Deep Learning Classification of Colorectal Lesions Based on Whole Slide Images
A Comparative Study of Four Metaheuristic Algorithms, AMOSA, MOABC, MSPSO, and NSGA-II for Evacuation Planning
A General Computational Approach for Counting Labeled Graphs
Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering
Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information
Stability Analysis and Experimental Validation of Standard Proportional-Integral-Derivative Control in Bilateral Teleoperators with Time-Varying Delays
A Weight Assignment-Enhanced Convolutional Neural Network (WACNN) for Freight Volume Prediction of Sea-Rail Intermodal Container Systems
Bilayer Local Search Enhanced Particle Swarm Optimization for the Capacitated Vehicle Routing Problem
High-Performance Computing and Parallel Algorithms for Urban Water Demand Forecasting
Bidirectional Grid Long Short-Term Memory (BiGridLSTM): A Method to Address Context-Sensitivity and Vanishing Gradient
Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network
Edit Distance with Block Deletions
Sustainable Risk Identification Using Formal Ontologies
A Faster Quick Search Algorithm
Enhanced Knowledge Graph Embedding by Jointly Learning Soft Rules and Facts
Explainable Machine Learning Model for Chronic Kidney Disease Prediction
Noise Reduction for Nonlinear Nonstationary Time Series Data using Averaging Intrinsic Mode Function
Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs
FDC-YOLO: A Blur-Resilient Lightweight Network for Engine Blade Defect Detection
Smart and Secure Healthcare with Digital Twins: A Deep Dive into Blockchain, Federated Learning, and Future Innovations
Exploring the Use of Artificial Intelligence in Agent-Based Modeling Applications: A Bibliometric Study
Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery
A Lightweight Graph Neural Network Algorithm for Action Recognition Based on Self-Distillation
An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web
Accelerating the Sinkhorn Algorithm for Sparse Multi-Marginal Optimal Transport via Fast Fourier Transforms
Quantitative Spectral Data Analysis Using Extreme Learning Machines Algorithm Incorporated with PCA
Distributed Centrality Analysis of Social Network Data Using MapReduce
Quantifying Intra- and Inter-Observer Variabilities in Manual Contours for Radiotherapy: Evaluation of an MR Tumor Autocontouring Algorithm for Liver, Prostate, and Lung Cancer Patients
Human Action Representation Learning Using an Attention-Driven Residual 3DCNN Network
Supervised Dynamic Correlated Topic Model for Classifying Categorical Time Series
Improved Neural Networks Based on Mutual Information via Information Geometry
Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network
Rotating Machinery Fault Detection Using Support Vector Machine via Feature Ranking
Spatially Adaptive Regularization in Image Segmentation
Dynamical Recovery of Complex Networks under a Localised Attack
Robust Visual Tracking via Patch Descriptor and Structural Local Sparse Representation
Discrete-Time Observations of Brownian Motion on Lie Groups and Homogeneous Spaces: Sampling and Metric Estimation
Hypothesis Testing Fusion for Nonlinearity Detection in Hedge Fund Price Returns
MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition
Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem
Rapid Prototyping of H∞ Algorithm for Real-Time Displacement Volume Control of Axial Piston Pumps
Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors
Combinatorial GVNS (General Variable Neighborhood Search) Optimization for Dynamic Garbage Collection
An Integer Programming Approach to Solving Tantrix on Fixed Boards
Iterative Solution of Linear Matrix Inequalities for the Combined Control and Observer Design of Systems with Polytopic Parameter Uncertainty and Stochastic Noise
The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology
Highly Imbalanced Classification of Gout Using Data Resampling and Ensemble Method
Generating Job Recommendations Based on User Personality and Gallup Tests
Compression of Next-Generation Sequencing Data and of DNA Digital Files
A Preliminary Study on Machine Learning Techniques to Classify Cardiovascular Diseases in Mexico
Enhancing Cardiovascular Disease Classification with Routine Blood Tests Using an Explainable AI Approach
On Orthogonal Double Covers and Decompositions of Complete Bipartite Graphs by Caterpillar Graphs
Optimization of Object Detection Network Architecture for High-Resolution Remote Sensing
Attribution-Driven Teaching Interventions: Linking I-AHP Weighted Assessment to Explainable Student Clustering
Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming
A Heterogeneity-Aware Car-Following Model: Based on the XGBoost Method
In Search of the Densest Subgraph
A Brief Roadmap into Uncertain Knowledge Representation via Probabilistic Description Logics
An Investigation of Alternatives to Transform Protein Sequence Databases to a Columnar Index Schema
DGNCA-Net: A Lightweight and Efficient Insulator Defect Detection Model
Extracting Co-Occurrence Relations from ZDDs
Modeling Approaches for Digital Plant Phenotyping Under Dynamic Conditions of Natural, Climatic and Anthropogenic Factors
Myocardial Infarction Quantification from Late Gadolinium Enhancement MRI Using Top-Hat Transforms and Neural Networks
Radio-Isotope Identification Algorithms for NaI γ Spectra
Transfer Learning and Analogical Inference: A Critical Comparison of Algorithms, Methods, and Applications
Parameter Estimation, Robust Controller Design and Performance Analysis for an Electric Power Steering System
A Predictive Method for Temperature Based on Ensemble EMD with Linear Regression
Editorial: Special Issue on Graph Algorithms
An Application of an Unequal-Area Facilities Layout Problem with Fixed-Shape Facilities
On the Influence of Data Imbalance on Supervised Gaussian Mixture Models
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review
Research on Grid-Connected Speed Control of Hydraulic Wind Turbine Based on Enhanced Chaotic Particle Swarm Optimization Fuzzy PID
Efficient Algorithms for the Maximum Sum Problems
Boosting the Performance of CDCL-Based SAT Solvers by Exploiting Backbones and Backdoors
An EEG Feature Extraction Method Based on Sparse Dictionary Self-Organizing Map for Event-Related Potential Recognition
Towards Sentiment Analysis for Romanian Twitter Content
Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection
A Biased-Randomized Discrete Event Algorithm to Improve the Productivity of Automated Storage and Retrieval Systems in the Steel Industry
Generation of Achievable Three-Dimensional Trajectories for Autonomous Wheeled Vehicles via Tracking Differentiators
Modeling and Solving Scheduling Problem with m Uniform Parallel Machines Subject to Unavailability Constraints
Investigating Routing in the VANET Network: Review and Classification of Approaches
Convergence and Stability of a New Parametric Class of Iterative Processes for Nonlinear Systems
A New Generalized Chebyshev Matrix Algorithm for Solving Second-Order and Telegraph Partial Differential Equations
Optimization of Compensation Network for a Wireless Power Transfer System in Dynamic Conditions: A Circuit Analysis Approach
An Image Hashing Algorithm for Authentication with Multi-Attack Reference Generation and Adaptive Thresholding
Optimal Open-Loop Control of Discrete Deterministic Systems by Application of the Perch School Metaheuristic Optimization Algorithm
Anchor-Based Method for Inter-Domain Mobility Management in Software-Defined Networking
Variational Bayes to Accelerate the Lagrange Multipliers towards the Dual Optimization of Reliability and Cost in Renewable Energy Systems
Bibliometric Mapping of Soil Chemicalization and Fertilizer Research: Environmental and Computational Insights
An Efficient Parallel Algorithm for Detecting Packet Filter Conflicts
A Novel Evolutionary Algorithm for Designing Robust Analog Filters
An Emotion and Attention Recognition System to Classify the Level of Engagement to a Video Conversation by Participants in Real Time Using Machine Learning Models and Utilizing a Neural Accelerator Chip
Algorithms for Bidding Strategies in Local Energy Markets: Exhaustive Search through Parallel Computing and Metaheuristic Optimization
Efficient Rule Generation for Associative Classification
Algorithms for Simulation of Shunt Currents in a Vanadium Redox Flow Battery
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification
Correlation Analysis of Railway Track Alignment and Ballast Stiffness: Comparing Frequency-Based and Machine Learning Algorithms
Framework for Evaluating Potential Causes of Health Risk Factors Using Average Treatment Effect and Uplift Modelling
Examining the Neurophysiology of Attentional Habituation to Repeated Presentations of Food and Non-Food Visual Stimuli
Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization
Target Detection Algorithm Based on Two Layers Human Visual System
Machine Learning in Reverse Logistics: A Systematic Literature Review
A New Approach to Recognize Faces Amidst Challenges: Fusion Between the Opposite Frequencies of the Multi-Resolution Features
The Novel EfficientNet Architecture-Based System and Algorithm to Predict Complex Human Emotions
Identification of Dual-Rate Sampled Hammerstein Systems with a Piecewise-Linear Nonlinearity Using the Key Variable Separation Technique
Computer-Aided Diagnosis in Mammography Using Content-Based Image Retrieval Approaches: Current Status and Future Perspectives
A Multi-Objective Model and Algorithms of Aggregate Production Planning of Multi-Product with Early and Late Delivery
Maximizing Net Present Value for Resource Constraint Project Scheduling Problems with Payments at Event Occurrences Using Approximate Dynamic Programming
Combining Heuristics with Simulation and Fuzzy Logic to Solve a Flexible-Size Location Routing Problem under Uncertainty
CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack
Online Adaptive Parameter Estimation for Quadrotors
Theorietage der Gesellschaft für Informatik in Speyer 2015 - Special Issue
Enhanced Hybrid Deep Learning Models-Based Anomaly Detection Method for Two-Stage Binary and Multi-Class Classification of Attacks in Intrusion Detection Systems
Speech Enhancement Algorithms: A Systematic Literature Review
Optimized Workflow Framework in Construction Projects to Control the Environmental Properties of Soil
The Supplier Selection of the Marine Rescue Equipment Based on the Analytic Hierarchy Process (AHP)-Limited Diversity Factors Method
Design Optimization of a VX Gasket Structure for a Subsea Connector Based on the Kriging Surrogate Model-NSGA-II Algorithm Considering the Load Randomness
Regularized Contrastive Masked Autoencoder Model for Machinery Anomaly Detection Using Diffusion-Based Data Augmentation
Investigating Shared Genetic Bases between Psychiatric Disorders, Cardiometabolic and Sleep Traits Using K-Means Clustering and Local Genetic Correlation Analysis
eNightTrack: Restraint-Free Depth-Camera-Based Surveillance and Alarm System for Fall Prevention Using Deep Learning Tracking
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles
Efficient Algorithms for Computing the Inner Edit Distance of a Regular Language via Transducers
SDPhound, a Mutual Information-Based Method to Investigate Specificity-Determining Positions
Multiple Factor Analysis Based on NIPALS Algorithm to Solve Missing Data Problems
Numerical Properties of Different Root-Finding Algorithms Obtained for Approximating Continuous Newton's Method
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning
HFGAD: Hierarchical Fine-Grained Attention Decoder for Gaze Estimation
A Rigid Motion Artifact Reduction Method for CT Based on Blind Deconvolution
Navigating Stakeholders Perspectives on Artificial Intelligence in Higher Education
What Is a Causal Graph?
Application of Evolutionary Computation to the Optimization of Biodiesel Mixtures Using a Nature-Inspired Adaptive Genetic Algorithm
Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer's Disease Detection
A Novel Reduction Circuit Based on Binary Tree Path Partition on FPGAs
Multiple Loci Selection with Multi-Way Epistasis in Coalescence with Recombination
Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT
Robust Registration of Medical Images in the Presence of Spatially-Varying Noise