yusuke1997/dblp-id-title huggingface dataset:
Order priors for Bayesian network discovery with an application to malware phylogeny
The forecast for predictive analytics: hot and getting hotter
Nonnegative tensor decomposition with custom clustering for microphase separation of block copolymers
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment
Agglomerative connectivity constrained clustering for image segmentation
Understanding the merits of winning data competition solutions for varied sets of objectives
A finely tuned deep transfer learning algorithm to compare outsole images
Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification
Sketched Stochastic Dictionary Learning for large-scale data and application to high-throughput mass spectrometry
Input-response space-filling designs incorporating response uncertainty
A framework for dynamic link prediction in heterogeneous networks
Comparative study of clustering techniques for real-time dynamic model reduction
Generalized mixed-effects random forest: A flexible approach to predict university student dropout
Precision aggregated local models
Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science
Marginal clustered multistate models for longitudinal progressive processes with informative cluster size
Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization
Modeling supernovae light curves: An application of hierarchical smoothing splines
Modeling and inference for mixtures of simple symmetric exponential families of -dimensional distributions for vectors with binary coordinates
Online detection of financial time series peaks and troughs: A probability-based approach
Deep Symbolic Learning for Histogram-Valued Regression Data
Lagged encoding for image-based time series classification using convolutional neural networks
Integrating database knowledge and epidemiological design to improve the implementation of data mining methods that evaluate vaccine safety in large healthcare databases
Prediction using hierarchical data: Applications for automated detection of cervical cancer
Interaction Tests With Covariate-Adaptive Randomization
On handling negative transfer and imbalanced distributions in multiple source transfer learning
CLADAG 2015 special issue: Selected papers on classification and data analysis
A nonparametric test of independence between 2 variables
Composite quantile-based classifiers
Discussion of 'data science: An action plan for expanding the technical areas of the field of statistics'
Dependability-based cluster weighting in clustering ensemble
Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey
Cluster analysis via random partition distributions
The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches
Characterizing climate pathways using feature importance on echo state networks
Identifying build orientation of 3D-printed materials using convolutional neural networks
Archetypal analysis for data-driven prototype identification
Coupled support tensor machine classification for multimodal neuroimaging data
How to Host An Effective Data Competition: Statistical Advice for Competition Design and Analysis
On the estimability of the PV single-diode model parameters
Robustness properties of a sequential test for vaccine safety in the presence of misspecification
Study of a bounded interval perks distribution with quantile regression analysis
Online Variable Selection and Parameter Estimation for Massive Data via Square Root Lasso
Clustering large data sets described with discrete distributions and its application on TIMSS data set
A novel framework for detecting maximally banded matrices in binary data
Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface
Multi-view predictive partitioning in high dimensions
SPREAD - exploiting chemical features that cause differential activity behavior
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors
A Bayesian beta kernel model for binary classification and online learning problems
Time course analysis of microarray data for the pathway of reproductive development in female rainbow trout
Flow field forecasting for univariate time series
Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning
A systematic review on intrusion detection based on the Hidden Markov Model
Subsampling from features in large regression to find "winning features"
A stable hyperparameter selection for the Gaussian RBF kernel for discrimination
Far beyond the classical data models: symbolic data analysis
Online learning for streaming data classification in nonstationary environments
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks
Biased penalty calls in the National Hockey League
Semiparametric estimation of average treatment effects in observational studies
Statistical Shape Analysis of Human Bodies
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression
Simplicial depth and its median: Selected properties and limitations
Feature import vector machine: A general classifier with flexible feature selection
Tracking clusters and anomalies in evolving data streams
A Scalable Local Algorithm for Distributed Multivariate Regression
Estimation of disease progression for ischemic heart disease using latent Markov with covariates
Biclustering scatter plots using data depth measures
Hub-aware random walk graph embedding methods for classification
Bent line quantile regression via a smoothing technique
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction
Evaluating causal-based feature selection for fuel property prediction models
CLADAG 2019 Special Issue: Selected Papers on Classification and Data Analysis
A hybrid data mining metaheuristic for the p -median problem
Standardizing interestingness measures for association rules
A general iterative clustering algorithm
A predictive framework for modeling healthcare data with evolving clinical interventions
Regular, median and Huber cross-validation: A computational comparison
Bayesian variable selection for logistic regression
Big data and the missing links
Residuals and diagnostics for multinomial regression models
A pattern discovery framework for adverse event evaluation and inference in spontaneous reporting systems
Triangulation-Based Spatial Clustering for Adjacent Data With Heterogeneous Density
An Improved D2GAN-based oversampling algorithm for imbalanced data classification
Review of statistical analyses in drug discovery and chemogenomics
Attack chain detection
Emerging topics and challenges for statistical analysis and data mining
Survival analysis with electronic health record data: Experiments with chronic kidney disease
Bayesian relative composite quantile regression approach of ordinal latent regression model with L 1/2 regularization
Integrative learning of structured high-dimensional data from multiple datasets
Co-clustering numerical data under user-defined constraints
Understanding large text corpora via sparse machine learning
A linear time method for the detection of collective and point anomalies
Harmonium Models for Video Classification
A coordinate descent algorithm for sparse positive definite matrix estimation
Time-decayed correlated aggregates over data streams
High-dimensional classification based on nonparametric maximum likelihood estimation under unknown and inhomogeneous variances
A family of mixture models for biclustering
Multi-transfer: Transfer learning with multiple views and multiple sources
MiTexCube: MicroTextCluster Cube for online analysis of text cells and its applications
Modeling user reputation in wikis
Space-efficient estimation of empirical tail dependence coefficients for bivariate data streams
Mining and tracking evolving web user trends from large web server logs
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain
Hybrid dynamic learning mechanism for multivariate time series segmentation
Biplot methodology in exploratory analysis of microarray data
Legislative prediction with dual uncertainty minimization from heterogeneous information
Improving the performance of the iterative signature algorithm for the identification of relevant patterns
An auxiliary Part-of-Speech tagger for blog and microblog cyber-slang
Nonparametric Bayesian functional clustering with applications to racial disparities in breast cancer
Analyzing relevance vector machines using a single penalty approach
Some Bayesian biclustering methods: Modeling and inference
Tree aggregation for random forest class probability estimation
Hierarchy-assisted gene expression regulatory network analysis
Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior
Out-of-bag stability estimation for k-means clustering
Buckley-James estimation of generalized additive accelerated lifetime model with ultrahigh-dimensional data
Gene expression associations with the growth inhibitory effects of small molecules on live cells: Specificity of effects and uniformity of mechanisms
An Efficient Filtering Approach for Model Estimation in Sparse Regression
Modeling the dynamics of social networks using Bayesian hierarchical blockmodels
A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data
Clustering over-dispersed data with mixed feature types
Greenwood Statistic Under Distortion Measurement Errors
Two tales of variable selection for high dimensional regression: Screening and model building
The serve impact in tennis: First large-scale study of big Hawk-Eye data
Great expectations: An analysis of major league baseball free agent performance
A flexible procedure for mixture proportion estimation in positive-unlabeled learning
Predictive models with end user preference
Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems
Summarizing and understanding large graphs
Modeling matrix variate time series via hidden Markov models with skewed emissions
Adaptive boosting for ordinal target variables using neural networks
Predicting the future performance of soccer players
Symbolic missing data imputation in principal component analysis
An unsupervised Bayesian hierarchical method for medical fraud assessment
Parameters estimation of Burr-XII distribution under first-failure progressively unified hybrid censoring schemes
Using data mining to enable integration of wind resources on the power grid
Authors' response to discussants
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns
CASOS: a subspace method for anomaly detection in high dimensional astronomical databases
Graph construction and random graph generation for modeling protein structures
An initial exploration of Bayesian model calibration for estimating the composition of rocks and soils on Mars
Mining trauma injury data with imputed values
Regression-based Bayesian estimation and structure learning for nonparanormal graphical models
An algorithm to compare two-dimensional footwear outsole images using maximum cliques and speeded-up robust feature
Coefficient tree regression for generalized linear models
Scatter matrix concordance as a diagnostic for regressions on subsets of data
Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks
Cellwise robust regularized discriminant analysis
How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain
Carpe Datum ! Comment on 'data science: An action plan for expanding the technical areas of the field of statistics'
Brief History of the Interface of Computing and Statistics which Preceded Data Mining's Birth
Gaussian process learning for cyber-attack early warning
Development and validation of models for two-week mortality of inpatients with COVID-19 infection: A large prospective cohort study
Residual's influence index (RINFIN), bad leverage and unmasking in high dimensional L2-regression
Machine learning and neural network based model predictions of soybean export shares from US Gulf to China
Predicting health outcomes from high-dimensional longitudinal health histories using relational random forests
Elastic functional principal component regression
Visualizing statistical models: Removing the blindfold
Supervised compression of big data
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs
A note on marginal correlation based screening
Efficient estimation in model-based clustering of Gaussian regression time series
SURE estimates for high dimensional classification
Weighted k-nearest neighbor based data complexity metrics for imbalanced datasets
Factor analysis for high-dimensional time series: Consistent estimation and efficient computation
Discovery of anomalous spatio-temporal windows using discretized spatio-temporal scan statistics
Tracking climate models
Ensemble learning for score likelihood ratios under the common source problem
Large-margin classification with multiple decision rules
Interactive knowledge discovery from hidden data through sampling of frequent patterns
Contour regression: A distribution-regularized regression framework for climate modeling
Using Neural Networks to Identify Mixture Components in Hyperspectral Reflectance Data
Vertex nomination via seeded graph matching
Scalable network estimation with L0 penalty
Retrospective-cost-based adaptive model refinement for the ionosphere and thermosphere
Robust Computer-Based Modeling and Simulation of Both DC and AC PM motors
A Taxonomy for Data Cube Query
Estimation Error Analysis of Range Selection Queries using Histogram and Sample in Low Dimensional Spaces
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date
Improving Concurrency Control with Invalidation Reports in Mobile Databases
Overhead Reduction for an Off-the-Shelf Real-Time Operating System
Towards a Framework for Brokering Semantic Web Services
Performance Comparison of Algorithms for Gathering Remote State Information
Automatic Rotifer Counting Using LVQ Neural Network
Audio Data Indexing Using Discrete Cosine Transform
A Unified Data Secure and Fault Tolerant Approach for Distributed Computing
Qualified Association-Rule Mining - Expanding Public Safety Data Insight
WSDL Mutation for Testing Web Services
Efficient Polynomial-Time Nested Loop Fusion with Full Parallelism
A Haptic Enabled Virtual Reality Framework for Orthopedic Surgical Training and Interventions
Requirements Elicitation Techniques Selection Using AHP
A Geometric Distribution-Based Approach for Aligning 3D Digital Object Models
An Enhanced Feature-Based Sentiment Analysis System
An Improved Heuristic Approach for the Steiner Problem in Graphs
Design and Evaluation of a Spatial Extension of TinyDB for Wireless Sensor Networks
Adopting the Information Contained by Outliers in the Modeling Process
Search Context Awareness in Several Ant Colony Optimization Models
Using System-on-a-Programmable-Chip Technology to Design Embedded Systems
A Methodology for Design-Level Performance Modeling
A Two Dimensional Parallel Indexing Scheme for Complex Objects
Obfuscation Techniques for Protecting Rule-Based Agents
Simulation of the Collision Free Navigation of Virtual AGV Among Static Obstacles Using Fuzzy Inference
Software Metrics for Database Applications
Aspects of Z Order
A Bare PC Mass Storage USB Driver
Distributed Job Scheduling in Clustered Networks
Synthesis of Easily Testable AND-EXOR Networks
A Vertical Approach to Computing Set Squared Distance
Reliability Modeling of Augmented Hypercube Networks
A Parallel Scheduler Based on Acyclic Stable Matching
Curve Fitting for Large Data Using Rational Cubic Splines
An Entity-Relationship Model for an Information System to Assess Flood Impact on Route Network
The Design and Performance of a Bare PC Web Server
Role Model Design and Implementation Using a Set Approach
A Decision Support Tool for Prioritizing the Construction of Short Roads Using an Expert System Approach
Meta-Heuristic Based Techniques for FPGA Placement: A Study
Fast Random Variate Generation with Sorting-Based Rejection Techniques for Computer Simulation
Study of Using an Object-Relational Paradigm in Building a Web Database Application
Efficient, Low-Complexity Handling of Delay Jitter for VoIP
Using Games to Embody Spiking Neural Networks for Neuromorphic Hardware
Boolean Models of Regulatory Networks: The Predecessor Problem
SADL: Simulation Architecture Description Language
Simulating Web Domains Using Graph Models
Statistical Source Modeling of Walkthrough Navigators
Scalable Reconfigurable Architectures for High-Performance Energy-Efficient Multimedia Processing
Implementation of XACML Role-Based Access Control Specification
Kepler Scientific Workflow Design and Execution with Contexts
Evaluation of Sustained Stochastic Oscillations by Means of a System of Differential Equations
Traffic Locality Oriented Route Discovery Algorithm with Delay
Efficient Object Location in Frame Sequences Using Adaptive Fuzzy-Tuned Scanpaths
Lighter Weight Mobile Agent System
A Fast Compile-Time Task Scheduling Heuristic for Homogeneous Computing Environments
Some Results on Stochastic and Fuzzy Control of Nonlinear Difference Equations with Finite Delays
Holonic Intelligent Multi-Agent Algorithmic Trading System (HIMAATS)
A Texture-Centric Meta-Model for Component-Based Software Architecture
Low Complexity Programmable Cellular Automata Based Reconfigurable General Modular Mutiplier in GF(2m)
A Cooperative Approach to Switchbox Routing
An Artificial Neural Network Algorithm for Voltage Stability Monitoring and Assessment
Non-Inclusion Property in Multi-Level Caches Revisited
Linking Paradigms in Safety Critical Systems
An Electronic Hydraulic Braking Based Driver Assistance System Using Support Vector Machines
Placement Tool Dedicated for a Via-Programmable Logic Device VPEX
Performance Comparison for Service Systems With or Without Anticipated Delay Information by Analysis and Simulation
DAVYD: An iterative Density-Based Approach for Clusters with VarYing Densities
Introduction: Special Issue on the Application of Computer Technology to Public Safety and Law Enforcement
FPGA-Based Implementations of Quadrature Mirror Filter Banks
Quality of Service Control and Performance Analysis of a Gigabit Network
Finding MAPs for Large Belief Networks Using Evolutionary Computation
Sentiment Analysis of Surveys using Both Numeric Ratings
Efficient Techniques for Parallel Text Retrieval on PC-Cluster Environments
A Hybrid Clustering Method for Gene Expression Data
Algorithmic Construction of Hamiltonian Cycles in k-Ary n-Cubes
Applying Stochastic Static Task Scheduling to a Reconfigurable Hardware Environment
Authorship Attribution: A Principal Component and Linear Discriminant Analysis of the Consistent Programmer Hypothesis
The Ezeus Operating System Design and Internals
Flexible Bandwidth Provision in a Sectored Packet Switch with an Optical Core (Extended Version)
Optimizing Reconfigurable Hardware Resource Usage in System-on-a-Programmable-Chip with Location Aware Genetic Algorithm
Multipurpose Color Image Watermarking
Impact of ATM Traffic Shaping on MPEG-2 Video Quality
A Fuzzy Algorithm for ABR Flow Control in ATM Networks
General Loop Fusion Technique with Improved Timing Performance and Minimal Code Size
A Randomized Queueless Algorithm for Breadth-First Search
Extending Link State IGPs for Load Management in MPLS Networks
Application-Oriented Communication Protocols for High-Speed Networks
Modeling and Analysis of Application Throughput in Gigabit Networks
Semantic Query in Heterogeneous Web Data Sources
The Modeling of Forested Areas for Real and Synthetic Aperture Imaging Radar Simulation when Tree Locations are Known
Implementation and Performance Evaluation of a Gesture-to-Arabic-Speech Translation System
Topological Network Design Subject to 1-Fault Tolerant Constraints
Performance Evaluation of Distributed Storage Systems for Cloud Computing
A Summary of Some Directions in Embedded Systems Research, Education and Development
A Formal Study of Interactions in Multi-agent Systems
Automatic Fuzzy Algorithms for Reliable Image Segmentation
Potential Energy Savings through Eliminating Unnecessary Writes in the Cache-Memory Hierarchy
Arabic Text Classification Using Support Vector Machines
Semi-Automatic Region Growing Method for Brain MRIs Segmentation
An Economic Model for Resource Adaptation in 2D Mesh Multicomputer Networks
Use of Favorite Goal in Agent Based Modeling and Simulation
Evaluation of iPVFS: A High Performance Parallel File System over iSCSI for Cluster Computing
Tabu Search: Implementation & Complexity Analysis for Netlist Partitioning
A Parallel Inductive Logic Programming Data Mining System for Drug Discovery
Using Relaxation to Fuse RFID and Vision for Object Tracking Outdoors
Budget Constrained Dataflow Scheduling for Minimized Completion Time on the Cloud
A Hybrid Technique for Indexing Image Databases Using the Wavelet Transform and the Discrete Fourier Transform
Hybrid Image Partitioning Algorithms for Fast Fractal Image Compression
An XML-Based Administration Method on Role-Based Access Control in Distributed Systems
A Bare Machine Application Development Methodology
IRAS: An Inmates' Risk Assessment System
Clustering Categorical Sequences Using a K-Nearest-Neighbor Method
Moving Energy Consumption Control into the Cloud by Coordinating Services
Rich Semantic-Based Schema Integration in a Federated Multiple Information Server Environment
Querying Provenance Information in Distributed Environments
Subgroup-based Source Recovery or Local Recovery for Reliable Multicasting
A Cooperative Game Theory-based Approach for Energy-Aware Job Scheduling in Cloud
Realizing Energy-Efficient MultiCore Processors by Utilizing Speculative Thread-Level Parallelism
Automatic Recognition of Arabic Sign Language Finger Spelling
A Novel Hardware Architecture for Scalable Binary Morphological and Mask-Based Image Processing
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Eliminating Garbage Collection for a More Deterministic Behavior of Real-Time and Embedded Software
Fault Tolerance of Node Failure in a Stochastic Localization Algorithm for Wireless Sensor Networks
The Associative Directed Mining of Big Data for Creative Decision Support
Data Warehouse Systems in the Cloud: Rise to the Benchmarking Challenge
Secure Internet-Based SCADA for Monitoring and Control of Industrial Processes
An Architecture and Development Method for Networked Human Resource Information Systems
Towards Semi-Automatically Reusing Objects from Legacy Systems
Scalability in Analyzing the Availability of Large-Scale Networks using Multicast
Sufficient Statistics for Re-Optimizing Repetitive Queries
A Data Model for Analyzing User Collaborations in Workflow-Driven e-Science
Analysis and Performance Evaluation of Parallel BLAST
Case Study of Finite Resource Optimization in FPGA using Genetic Algorithm
Design of a Linear Systolic Modular Multiplier/Squarer for the Fast Modular Exponentiation
UML-Based Methodology for Reliability Analysis of Concurrent Software Applications
Minimization Analysis of Network Attack Graphs Using Genetic Algorithms
A Novel Watermarking Scheme for Blind Objective Image Quality Assessment
A Computer Vision Framework for Analyzing Overhead and Computer Projections from Video of Lectures