On the public citation graph
There and back again: Outlier detection between statistical reasoning and data mining algorithms
0 signed · 392 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/for.3980070102openalex-snapshot
Outliers, level shifts, and variance changes in time series
inferredcites →https://doi.org/10.1002/sam.11161openalex-snapshot
A survey on unsupervised outlier detection in high‐dimensional numerical data
inferredcites →https://doi.org/10.1002/widm.2openalex-snapshot
Robust statistics for outlier detection
inferredcites →https://doi.org/10.1007/11731139_66openalex-snapshot
A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data
inferredcites →https://doi.org/10.1007/11731139_67openalex-snapshot
A Fast Greedy Algorithm for Outlier Mining
inferredcites →https://doi.org/10.1007/11731139_68openalex-snapshot
Ranking Outliers Using Symmetric Neighborhood Relationship
inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-snapshot
Ensemble Methods in Machine Learning
inferredcites →https://doi.org/10.1007/3-540-45681-3_2openalex-snapshot
Fast Outlier Detection in High Dimensional Spaces
inferredcites →https://doi.org/10.1007/3-540-45808-5_1openalex-snapshot
Ensembles of Learning Machines
inferredcites →https://doi.org/10.1007/3-540-47887-6_53openalex-snapshot
Enhancing Effectiveness of Outlier Detections for Low Density Patterns
inferredcites →https://doi.org/10.1007/978-0-387-39940-9_227openalex-snapshot
Multi-Step Query Processing
inferredcites →https://doi.org/10.1007/978-1-4302-0248-6_11openalex-snapshot
Introduction to Data Mining
inferredcites →https://doi.org/10.1007/978-1-4899-3324-9openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1007/978-3-319-18032-8_33openalex-snapshot
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking
inferredcites →https://doi.org/10.1007/978-3-319-68474-1_12openalex-snapshot
Good and Bad Neighborhood Approximations for Outlier Detection Ensembles
inferredcites →https://doi.org/10.1007/978-3-540-68125-0_47openalex-snapshot
Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs
inferredcites →https://doi.org/10.1007/978-3-540-69497-7_27openalex-snapshot
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-73499-4_6openalex-snapshot
Outlier Detection with Kernel Density Functions
inferredcites →https://doi.org/10.1007/978-3-642-01307-2_86openalex-snapshot
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
inferredcites →https://doi.org/10.1007/978-3-642-04174-7_11openalex-snapshot
Efficient Pruning Schemes for Distance-Based Outlier Detection
inferredcites →https://doi.org/10.1007/978-3-642-12026-8_29openalex-snapshot
Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
inferredcites →https://doi.org/10.1007/978-3-642-20149-3_12openalex-snapshot
An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data
inferredcites →https://doi.org/10.1007/978-3-642-29038-1_18openalex-snapshot
AnyOut: Anytime Outlier Detection on Streaming Data
inferredcites →https://doi.org/10.1007/978-3-642-40994-3_20openalex-snapshot
Local Outlier Detection with Interpretation
inferredcites →https://doi.org/10.1007/bf02595862openalex-snapshot
Robust principal component analysis for functional data
inferredcites →https://doi.org/10.1007/bfb0100984openalex-snapshot
Discovery-driven exploration of OLAP data cubes
inferredcites →https://doi.org/10.1007/s00362-013-0524-zopenalex-snapshot
Identification of local multivariate outliers
inferredcites →https://doi.org/10.1007/s00450-009-0063-yopenalex-snapshot
In-network detection of anomaly regions in sensor networks with obstacles
inferredcites →https://doi.org/10.1007/s007780050006openalex-snapshot
Distance-based outliers: algorithms and applications
inferredcites →https://doi.org/10.1007/s10115-005-0197-6openalex-snapshot
Finding centric local outliers in categorical/numerical spaces
inferredcites →https://doi.org/10.1007/s10115-005-0200-2openalex-snapshot
SLOM: a new measure for local spatial outliers
inferredcites →https://doi.org/10.1007/s10115-010-0283-2openalex-snapshot
Statistical outlier detection using direct density ratio estimation
inferredcites →https://doi.org/10.1007/s10115-011-0430-4openalex-snapshot
Density-preserving projections for large-scale local anomaly detection
inferredcites →https://doi.org/10.1007/s10115-012-0484-yopenalex-snapshot
SVDD-based outlier detection on uncertain data
inferredcites →https://doi.org/10.1007/s10115-016-1004-2openalex-snapshot
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
inferredcites →https://doi.org/10.1007/s10618-005-0014-6openalex-snapshot
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
inferredcites →https://doi.org/10.1007/s10618-006-0057-3openalex-snapshot
On data mining, compression, and Kolmogorov complexity
inferredcites →https://doi.org/10.1007/s10618-008-0093-2openalex-snapshot
Fast mining of distance-based outliers in high-dimensional datasets
inferredcites →https://doi.org/10.1007/s10618-009-0147-0openalex-snapshot
Spatial neighborhood based anomaly detection in sensor datasets
inferredcites →https://doi.org/10.1007/s10618-009-0159-9openalex-snapshot
Distance-based outlier queries in data streams: the novel task and algorithms
inferredcites →https://doi.org/10.1007/s10618-012-0300-zopenalex-snapshot
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
inferredcites →https://doi.org/10.1007/s10618-014-0365-yopenalex-snapshot
Graph based anomaly detection and description: a survey
inferredcites →https://doi.org/10.1007/s10618-014-0398-2openalex-snapshot
Mining outlying aspects on numeric data
inferredcites →https://doi.org/10.1007/s10618-015-0444-8openalex-snapshot
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
inferredcites →https://doi.org/10.1007/s10618-016-0453-2openalex-snapshot
Discovering outlying aspects in large datasets
inferredcites →https://doi.org/10.1007/s10618-016-0458-xopenalex-snapshot
Outlying property detection with numerical attributes
inferredcites →https://doi.org/10.1007/s10994-013-5334-yopenalex-snapshot
The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives
inferredcites →https://doi.org/10.1007/s10994-013-5342-yopenalex-snapshot
Comparative study of matrix refinement approaches for ensemble clustering
inferredcites →https://doi.org/10.1007/s10994-015-5507-yopenalex-snapshot
A decomposition of the outlier detection problem into a set of supervised learning problems
inferredcites →https://doi.org/10.1016/b978-012088469-8/50123-6openalex-snapshot
HOS-MinerA System for Detecting Outlying Subspaces of High-dimensional Data
inferredcites →https://doi.org/10.1016/j.cageo.2004.11.013openalex-snapshot
Multivariate outlier detection in exploration geochemistry
inferredcites →https://doi.org/10.1016/j.comnet.2007.02.001openalex-snapshot
An overview of anomaly detection techniques: Existing solutions and latest technological trends
inferredcites →https://doi.org/10.1016/j.csda.2006.11.002openalex-snapshot
Robust estimation for circular data
inferredcites →https://doi.org/10.1016/j.csda.2007.05.018openalex-snapshot
Outlier identification in high dimensions
inferredcites →https://doi.org/10.1016/j.csda.2015.02.005openalex-snapshot
Robust estimation of precision matrices under cellwise contamination
inferredcites →https://doi.org/10.1016/j.inffus.2004.04.004openalex-snapshot
Diversity creation methods: a survey and categorisation
inferredcites →https://doi.org/10.1016/j.is.2015.07.006openalex-snapshot
Efficient and flexible algorithms for monitoring distance-based outliers over data streams
inferredcites →https://doi.org/10.1016/j.patrec.2013.11.018openalex-snapshot
Contextual anomaly detection in crowded surveillance scenes
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.018openalex-snapshot
Novelty detection: a review—part 1: statistical approaches
inferredcites →https://doi.org/10.1016/j.sigpro.2003.07.019openalex-snapshot
Novelty detection: a review—part 2:
inferredcites →https://doi.org/10.1016/j.sigpro.2013.12.026openalex-snapshot
A review of novelty detection
inferredcites →https://doi.org/10.1016/s0167-9473(02)00280-3openalex-snapshot
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
inferredcites →https://doi.org/10.1016/s0167-9473(96)00027-8openalex-snapshot
Computing depth contours of bivariate point clouds
inferredcites →https://doi.org/10.1023/a:1022859003006openalex-snapshot
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
inferredcites →https://doi.org/10.1023/a:1023455925009openalex-snapshot
A Unified Approach to Detecting Spatial Outliers
inferredcites →https://doi.org/10.1023/b:aire.0000045502.10941.a9openalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1023/b:dami.0000023676.72185.7copenalex-snapshot
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-snapshot
Support Vector Data Description
inferredcites →https://doi.org/10.1073/pnas.98.1.31openalex-snapshot
Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
inferredcites →https://doi.org/10.1080/00401706.1960.10489875openalex-snapshot
Some Remarks on Wild Observations
inferredcites →https://doi.org/10.1080/00401706.1999.10485670openalex-snapshot
A Fast Algorithm for the Minimum Covariance Determinant Estimator
inferredcites →https://doi.org/10.1080/00401706.2017.1340909openalex-snapshot
Detecting Deviating Data Cells
inferredcites →https://doi.org/10.1080/01621459.1990.10474920openalex-snapshot
Unmasking Multivariate Outliers and Leverage Points
inferredcites →https://doi.org/10.1080/01621459.1999.10474199openalex-snapshot
The Masking Breakdown Point of Multivariate Outlier Identification Rules
inferredcites →https://doi.org/10.1086/100259openalex-snapshot
Criterion for the rejection of doubtful observations
inferredcites →https://doi.org/10.1093/biomet/28.3-4.308openalex-snapshot
THE EFFICIENCY OF STATISTICAL TOOLS AND A CRITERION FOR THE REJECTION OF OUTLYING OBSERVATIONS
inferredcites →https://doi.org/10.1093/biomet/48.1-2.3openalex-snapshot
The most probable choice between several discrepant observations and the formation therefrom of the most likely induction
inferredcites →https://doi.org/10.1093/biomet/66.2.229openalex-snapshot
Bayesian Analysis of Some Outlier Problems in Time Series
inferredcites →https://doi.org/10.1093/biostatistics/kxm045openalex-snapshot
Sparse inverse covariance estimation with the graphical lasso
inferredcites →https://doi.org/10.1109/cec.2002.1004386openalex-snapshot
Anomaly detection in multidimensional data using negative selection algorithm
inferredcites →https://doi.org/10.1109/cidm.2007.368917openalex-snapshot
Incremental Local Outlier Detection for Data Streams
inferredcites →https://doi.org/10.1109/dsaa.2016.8openalex-snapshot
On the Evaluation of Outlier Detection and One-Class Classification Methods
inferredcites →https://doi.org/10.1109/icde.2003.1260802openalex-snapshot
LOCI: fast outlier detection using the local correlation integral
inferredcites →https://doi.org/10.1109/icde.2008.4497422openalex-snapshot
Trajectory Outlier Detection: A Partition-and-Detect Framework
inferredcites →https://doi.org/10.1109/icde.2011.5767850openalex-snapshot
Outlier detection on uncertain data: Objects, instances, and inferences
inferredcites →https://doi.org/10.1109/icde.2011.5767852openalex-snapshot
Locality Sensitive Outlier Detection: A ranking driven approach
inferredcites →https://doi.org/10.1109/icde.2011.5767916openalex-snapshot
Statistical selection of relevant subspace projections for outlier ranking
inferredcites →https://doi.org/10.1109/icde.2012.88openalex-snapshot
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
inferredcites →https://doi.org/10.1109/icde.2014.6816642openalex-snapshot
Discriminative features for identifying and interpreting outliers
inferredcites →https://doi.org/10.1109/icde.2017.145openalex-snapshot
LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis
inferredcites →https://doi.org/10.1109/icdew.2008.4498387openalex-snapshot
OutRank: ranking outliers in high dimensional data
inferredcites →https://doi.org/10.1109/icdm.2003.1250986openalex-snapshot
Algorithms for spatial outlier detection
inferredcites →https://doi.org/10.1109/icdm.2005.59openalex-snapshot
Example-Based Robust Outlier Detection in High Dimensional Datasets
inferredcites →https://doi.org/10.1109/icdm.2006.17openalex-snapshot
An Efficient Reference-Based Approach to Outlier Detection in Large Datasets
inferredcites →https://doi.org/10.1109/icdm.2006.43openalex-snapshot
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
inferredcites →https://doi.org/10.1109/icdm.2008.49openalex-snapshot
Inlier-Based Outlier Detection via Direct Density Ratio Estimation
inferredcites →https://doi.org/10.1109/icdm.2009.95openalex-snapshot
Discovering Contexts and Contextual Outliers Using Random Walks in Graphs
inferredcites →https://doi.org/10.1109/icdm.2012.112openalex-snapshot
Outlier Ranking via Subspace Analysis in Multiple Views of the Data
inferredcites →https://doi.org/10.1109/icdm.2012.21openalex-snapshot
Outlier Detection in Arbitrarily Oriented Subspaces
inferredcites →https://doi.org/10.1109/icdm.2013.132openalex-snapshot
Explaining Outliers by Subspace Separability
inferredcites →https://doi.org/10.1109/icdm.2013.88openalex-snapshot
Statistical Selection of Congruent Subspaces for Mining Attributed Graphs
inferredcites →https://doi.org/10.1109/icpr.2004.1334558openalex-snapshot
Outlier detection using k-nearest neighbour graph
inferredcites →https://doi.org/10.1109/icsmc.2000.884976openalex-snapshot
A comparison of negative and positive selection algorithms in novel pattern detection
inferredcites →https://doi.org/10.1109/secpri.1999.766910openalex-snapshot
Detecting intrusions using system calls: alternative data models
inferredcites →https://doi.org/10.1109/tkde.2003.1232271openalex-snapshot
Efficient biased sampling for approximate clustering and outlier detection in large data sets
inferredcites →https://doi.org/10.1109/tkde.2005.31openalex-snapshot
Outlier mining in large high-dimensional data sets
inferredcites →https://doi.org/10.1109/tkde.2006.1599387openalex-snapshot
A unifying framework for detecting outliers and change points from time series
inferredcites →https://doi.org/10.1109/tkde.2010.235openalex-snapshot
Anomaly Detection for Discrete Sequences: A Survey
inferredcites →https://doi.org/10.1109/tkde.2012.58openalex-snapshot
Discovering Characterizations of the Behavior of Anomalous Subpopulations
inferredcites →https://doi.org/10.1109/tkde.2013.88openalex-snapshot
Mining Statistically Significant Co-location and Segregation Patterns
inferredcites →https://doi.org/10.1109/tkde.2014.2365790openalex-snapshot
Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00912.xopenalex-snapshot
Outliers in Time Series
inferredcites →https://doi.org/10.1137/1.9781611972764.71openalex-snapshot
Spatial Weighted Outlier Detection
inferredcites →https://doi.org/10.1137/1.9781611972818.2openalex-snapshot
Interpreting and Unifying Outlier Scores
inferredcites →https://doi.org/10.1137/1.9781611972818.69openalex-snapshot
The Odd One Out: Identifying and Characterising Anomalies
inferredcites →https://doi.org/10.1137/1.9781611972825.90openalex-snapshot
On Evaluation of Outlier Rankings and Outlier Scores
inferredcites →https://doi.org/10.1137/1.9781611972832.21openalex-snapshot
k -means–: A unified approach to clustering and outlier detection
inferredcites →https://doi.org/10.1137/1.9781611973440.63openalex-snapshot
Generalized Outlier Detection with Flexible Kernel Density Estimates
inferredcites →https://doi.org/10.1137/1.9781611974348.4openalex-snapshot
Finding Surprisingly Frequent Patterns of Variable Lengths in Sequence Data
inferredcites →https://doi.org/10.1145/1007730.1007738openalex-snapshot
Minority report in fraud detection
inferredcites →https://doi.org/10.1145/1081870.1081891openalex-snapshot
Feature bagging for outlier detection
inferredcites →https://doi.org/10.1145/1150402.1150459openalex-snapshot
Outlier detection by active learning
inferredcites →https://doi.org/10.1145/1281192.1281219openalex-snapshot
Detecting anomalous records in categorical datasets
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1401890.1401946openalex-snapshot
Angle-based outlier detection in high-dimensional data
inferredcites →https://doi.org/10.1145/1508857.1508864openalex-snapshot
Detecting outlying properties of exceptional objects
inferredcites →https://doi.org/10.1145/1835804.1835907openalex-snapshot
On community outliers and their efficient detection in information networks
inferredcites →https://doi.org/10.1145/1871437.1871690openalex-snapshot
Adaptive outlierness for subspace outlier ranking
inferredcites →https://doi.org/10.1145/2020408.2020554openalex-snapshot
Algorithms for speeding up distance-based outlier detection
inferredcites →https://doi.org/10.1145/2133360.2133363openalex-snapshot
Isolation-Based Anomaly Detection
inferredcites →https://doi.org/10.1145/2339530.2339669openalex-snapshot
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
inferredcites →https://doi.org/10.1145/2396761.2396816openalex-snapshot
Fast and reliable anomaly detection in categorical data
inferredcites →https://doi.org/10.1145/2487575.2487676openalex-snapshot
Subsampling for efficient and effective unsupervised outlier detection ensembles
inferredcites →https://doi.org/10.1145/2500853.2500858openalex-snapshot
Systematic construction of anomaly detection benchmarks from real data
inferredcites →https://doi.org/10.1145/2594473.2594476openalex-snapshot
Ensembles for unsupervised outlier detection
inferredcites →https://doi.org/10.1145/2594473.2594479openalex-snapshot
Research issues in outlier detection for data streams
inferredcites →https://doi.org/10.1145/2618243.2618257openalex-snapshot
Data perturbation for outlier detection ensembles
inferredcites →https://doi.org/10.1145/2618243.2618266openalex-snapshot
Local context selection for outlier ranking in graphs with multiple numeric node attributes
inferredcites →https://doi.org/10.1145/2623330.2623682openalex-snapshot
Focused clustering and outlier detection in large attributed graphs
inferredcites →https://doi.org/10.1145/2733381openalex-snapshot
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
inferredcites →https://doi.org/10.1145/2791347.2791352openalex-snapshot
On the internal evaluation of unsupervised outlier detection
inferredcites →https://doi.org/10.1145/2983323.2983660openalex-snapshot
Robust Contextual Outlier Detection
inferredcites →https://doi.org/10.1145/335191.335437openalex-snapshot
Efficient algorithms for mining outliers from large data sets
inferredcites →https://doi.org/10.1145/347090.347160openalex-snapshot
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms
inferredcites →https://doi.org/10.1145/502512.502554openalex-snapshot
Mining top-n local outliers in large databases
inferredcites →https://doi.org/10.1145/956750.956758openalex-snapshot
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-snapshot
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.1162/153244303321897735openalex-snapshot
10.1162/153244303321897735
inferredcites →https://doi.org/10.1186/s40537-014-0011-yopenalex-snapshot
Contextual anomaly detection framework for big sensor data
inferredcites →https://doi.org/10.1198/004017002188618509openalex-snapshot
Robust Estimates of Location and Dispersion for High-Dimensional Datasets
inferredcites →https://doi.org/10.1198/016214501753382345openalex-snapshot
Cluster Identification Using Projections
inferredcites →https://doi.org/10.1198/106186005x77685openalex-snapshot
The Distribution of Robust Distances
inferredcites →https://doi.org/10.1198/jasa.2009.tm09147openalex-snapshot
Multivariate Outlier Detection With High-Breakdown Estimators
inferredcites →https://doi.org/10.1214/07-aos588openalex-snapshot
Propagation of outliers in multivariate data
inferredcites →https://doi.org/10.1214/aoms/1177703732openalex-snapshot
Robust Estimation of a Location Parameter
inferredcites →https://doi.org/10.1214/aoms/1177732567openalex-snapshot
On a Criterion for the Rejection of Observations and the Distribution of the Ratio of Deviation to Sample Standard Deviation
inferredcites →https://doi.org/10.1214/aos/1176343347openalex-snapshot
Robust $M$-Estimators of Multivariate Location and Scatter
inferredcites →https://doi.org/10.1214/aos/1176345575openalex-snapshot
New Tools for Residual Analysis
inferredcites →https://doi.org/10.14778/1920841.1921021openalex-snapshot
Distance-based outlier detection
inferredcites →https://doi.org/10.14778/2824032.2824115openalex-snapshot
A framework for clustering uncertain data
inferredcites →https://doi.org/10.18637/jss.v032.i03openalex-snapshot
An Object-Oriented Framework for Robust Multivariate Analysis
inferredcites →https://doi.org/10.21105/joss.00205openalex-snapshot
hdbscan: Hierarchical density based clustering
inferredcites →https://doi.org/10.2307/1268828openalex-snapshot
Robust Regression and Outlier Detection
inferredcites →https://doi.org/10.2307/2180508openalex-snapshot
Logik der Forschung: Zur Erkenntnistheorie der Modernen Naturwissenschaft.
inferredcites →https://doi.org/10.2307/2289675openalex-snapshot
Encyclopedia of Statistical Sciences.
inferredcites →https://doi.org/10.2307/2346896openalex-snapshot
Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
inferredcites →https://doi.org/10.2307/2347068openalex-snapshot
Robust Procedures in Multivariate Analysis II. Robust Canonical Variate Analysis
inferredcites →https://doi.org/10.2307/2347159openalex-snapshot
The Study of Outliers: Purpose and Model
inferredcites →https://doi.org/10.2307/2347230openalex-snapshot
The Subjective Nature of Outlier Rejection Procedures
inferredcites →https://doi.org/10.2307/2528963openalex-snapshot
Robust Estimates, Residuals, and Outlier Detection with Multiresponse Data
showing the first 200 of 211 · page through all 211
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.5852/ejt.2024.934.2527zenodo-depositor-declared
A practical, step-by-step, guide to taxonomic comparisons using Procrustes geometric morphometrics and user-friendly software (part A): introduction and preliminary analyses
inferred← citeshttps://doi.org/10.1002/9781394287383.ch9openalex-snapshot
Data Science for Validation
inferred← citeshttps://doi.org/10.1002/aic.17538openalex-snapshot
Determining robust reaction kinetics from limited data
inferred← citeshttps://doi.org/10.1002/cite.202000007openalex-snapshot
Some Aspects of Combining Data and Models in Process Engineering
inferred← citeshttps://doi.org/10.1002/eng2.12936openalex-snapshot
Enhancing outlier detection in air quality index data using a stacked machine learning model
inferred← citeshttps://doi.org/10.1002/widm.1491openalex-snapshot
A geometric framework for outlier detection in high‐dimensional data
inferred← citeshttps://doi.org/10.1007/978-3-030-43887-6_13openalex-snapshot
Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-66081-9_28openalex-snapshot
Predictive Systems for the Well Drilling Operations
inferred← citeshttps://doi.org/10.1007/978-3-030-68763-2_3openalex-snapshot
Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-87872-6_30openalex-snapshot
Analysis of Students’ Online Interactions in the Covid Era from the Perspective of Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-17849-8_19openalex-snapshot
Similarity-Based Unsupervised Evaluation of Outlier Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-27527-2_3openalex-snapshot
Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities
inferred← citeshttps://doi.org/10.1007/978-3-031-30073-8_2openalex-snapshot
Distribution, Pre-analysis of Missing Values and Data Quality
inferred← citeshttps://doi.org/10.1007/978-3-031-67159-3_20openalex-snapshot
K Minimum Enclosing Balls for Outlier Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-75823-2_14openalex-snapshot
On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphs
inferred← citeshttps://doi.org/10.1007/978-3-032-06069-3_14openalex-snapshot
Similarity Based on Resample Exposure
inferred← citeshttps://doi.org/10.1007/978-3-032-06069-3_26openalex-snapshot
Towards Semi-supervised Subspace Learning for Outlier Detection in Big Data
inferred← citeshttps://doi.org/10.1007/978-3-658-50679-7_8openalex-snapshot
Machine Learning and Prediction
inferred← citeshttps://doi.org/10.1007/978-981-15-8462-6_135openalex-snapshot
An Overview of Outliers and Detection Methods in General for Time Series from IoT Devices
inferred← citeshttps://doi.org/10.1007/978-981-19-0019-8_42openalex-snapshot
Outlier Detection Techniques: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-981-97-9262-7_42openalex-snapshot
Data Mining and Machine Learning Techniques in Knowledge Discovery
inferred← citeshttps://doi.org/10.1007/s00607-022-01115-zopenalex-snapshot
Impact of endpoint structure attributes on local information algorithms based on link prediction
inferred← citeshttps://doi.org/10.1007/s10618-023-00931-xopenalex-snapshot
On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles
inferred← citeshttps://doi.org/10.1007/s10618-024-01077-0openalex-snapshot
What do anomaly scores actually mean? Dynamic characteristics beyond accuracy
inferred← citeshttps://doi.org/10.1007/s10618-024-01086-zopenalex-snapshot
A comparative evaluation of clustering-based outlier detection
inferred← citeshttps://doi.org/10.1007/s10661-022-10661-0openalex-snapshot
Combining statistical methods for detecting potential outliers in groundwater quality time series
inferred← citeshttps://doi.org/10.1007/s11004-020-09861-6openalex-snapshot
Multivariate Outlier Detection in Applied Data Analysis: Global, Local, Compositional and Cellwise Outliers
inferred← citeshttps://doi.org/10.1007/s11069-024-06536-xopenalex-snapshot
Introduction and testing of a cost-effective GNSS system for landslide monitoring
inferred← citeshttps://doi.org/10.1007/s11633-020-1243-2openalex-snapshot
Study on Statistical Outlier Detection and Labelling
inferred← citeshttps://doi.org/10.1007/s12021-026-09779-0openalex-snapshot
When Random Variation Results in Functional Segregation
inferred← citeshttps://doi.org/10.1007/s40300-020-00183-5openalex-snapshot
Local projections for high-dimensional outlier detection
inferred← citeshttps://doi.org/10.1007/s40745-021-00362-9openalex-snapshot
A Comprehensive Survey of Anomaly Detection Algorithms
inferred← citeshttps://doi.org/10.1007/s42452-024-06068-wopenalex-snapshot
Explainable artificial intelligence and machine learning algorithms for classification of thyroid disease
inferred← citeshttps://doi.org/10.1007/s44163-021-00016-yopenalex-snapshot
Synthetic data use: exploring use cases to optimise data utility
inferred← citeshttps://doi.org/10.1016/j.atech.2025.101374openalex-snapshot
Validating kfino algorithm (Kalman filter with impulse noised outliers) to filter liveweight outliers produced by the walk-over-weighing (WoW) platform in a large spectrum of farming systems
inferred← citeshttps://doi.org/10.1016/j.cam.2024.115773openalex-snapshot
An entropy-based approach for a robust least squares spline approximation
inferred← citeshttps://doi.org/10.1016/j.cja.2021.11.005openalex-snapshot
Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method
inferred← citeshttps://doi.org/10.1016/j.cma.2022.114889openalex-snapshot
Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model
inferred← citeshttps://doi.org/10.1016/j.cosrev.2022.100463openalex-snapshot
A survey of outlier detection in high dimensional data streams
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100665openalex-snapshot
Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
inferred← citeshttps://doi.org/10.1016/j.dajour.2023.100375openalex-snapshot
A self-learning algorithm for identifying the leverage points in soil data using quantile regression forests
inferred← citeshttps://doi.org/10.1016/j.ecosta.2023.04.003openalex-snapshot
Multivariate outlier explanations using Shapley values and Mahalanobis distances
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105503openalex-snapshot
A procedure for anomaly detection and analysis
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108424openalex-snapshot
A multivariate method for detecting and characterizing the changes in responses of sensors when extreme outliers arise
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116100openalex-snapshot
Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116864openalex-snapshot
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120488openalex-snapshot
Reference synthetic-dataset for novelty detection in oil production data: A perceptive evaluation along with case studies from 51 oilfields
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120994openalex-snapshot
Anomaly detection in streaming data: A comparison and evaluation study
inferred← citeshttps://doi.org/10.1016/j.gexplo.2024.107392openalex-snapshot
A performance study of local outlier detection methods for mineral exploration with geochemical compositional data
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21911openalex-snapshot
Performance evaluation of IRI-Plas 2017 model with ionosonde data measurements of ionospheric parameters
inferred← citeshttps://doi.org/10.1016/j.ijar.2020.12.003openalex-snapshot
A spatial filtering inspired three-way clustering approach with application to outlier detection
inferred← citeshttps://doi.org/10.1016/j.is.2024.102507openalex-snapshot
Bayesian label distribution propagation: A semi-supervised probabilistic k nearest neighbor classifier
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129360openalex-snapshot
An inverse-problem approach to detect outliers in rainfall measurements of ground gauges for robust reservoir flood control operation
inferred← citeshttps://doi.org/10.1016/j.livsci.2021.104602openalex-snapshot
Improving farm decisions: The application of data engineering techniques to manage data streams from contemporary dairy operations
inferred← citeshttps://doi.org/10.1016/j.mlwa.2021.100172openalex-snapshot
Explainable outlier detection: What, for Whom and Why?
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126634openalex-snapshot
Meta-survey on outlier and anomaly detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109334openalex-snapshot
Detecting outliers from pairwise proximities: Proximity isolation forests
inferred← citeshttps://doi.org/10.1016/j.pmcj.2021.101483openalex-snapshot
Continuous authentication through gait analysis on a wrist-worn device
inferred← citeshttps://doi.org/10.1016/j.procs.2022.01.386openalex-snapshot
An Anomaly Detection Method for Multiple Time Series Based on Similarity Measurement and Louvain Algorithm
inferred← citeshttps://doi.org/10.1029/2025jg008807openalex-snapshot
A Performant, Scalable Processing Pipeline for High‐Quality and FAIR Environmental Sensor Data
inferred← citeshttps://doi.org/10.1038/s41598-019-46097-9openalex-snapshot
Establishing a many-cytokine signature via multivariate anomaly detection
inferred← citeshttps://doi.org/10.1038/s41746-020-00353-9openalex-snapshot
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
inferred← citeshttps://doi.org/10.1039/d1nr02258jopenalex-snapshot
Impact of atomistic or crystallographic descriptors for classification of gold nanoparticles
inferred← citeshttps://doi.org/10.1049/itr2.12109openalex-snapshot
A highly efficient framework for outlier detection in urban traffic flow
inferred← citeshttps://doi.org/10.1080/1206212x.2023.2239551openalex-snapshot
CGSA optimized LSTM auto encoder for outlier detection
inferred← citeshttps://doi.org/10.1080/23754931.2022.2035799openalex-snapshot
Uncertainty Analysis Applied to the Representation of Multidimensional Social Phenomena
inferred← citeshttps://doi.org/10.1088/1742-6596/2042/1/012015openalex-snapshot
Data analytics for smart buildings: a classification method for anomaly detection for measured data
inferred← citeshttps://doi.org/10.1088/1755-1315/563/1/012002openalex-snapshot
Reduction of Dissolved Organic Carbon in Baled, Mixed, Municipal Waste Through 12 Years
inferred← citeshttps://doi.org/10.1101/2023.10.10.555393openalex-snapshot
When random variation results in functional significance
inferred← citeshttps://doi.org/10.1108/itse-09-2022-0124openalex-snapshot
Anomaly detection in the course evaluation process: a learning analytics–based approach
inferred← citeshttps://doi.org/10.1108/md-10-2023-1755openalex-snapshot
Identifying minibonds issued level’s determinants to empower companies’ funding managerial strategies
inferred← citeshttps://doi.org/10.1109/access.2024.3497977openalex-snapshot
Enhanced Spectral Ensemble Clustering for Fault Diagnosis: Application to Photovoltaic Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3610576openalex-snapshot
Data Analytics for Automated Feature Extraction and Anomaly Detection in a Class of Industrial Manufacturing Processes
inferred← citeshttps://doi.org/10.1109/acomp53746.2021.00023openalex-snapshot
OpenK: An Elastic Data Cleansing System with A Clustering-based Data Anomaly Detection Approach
inferred← citeshttps://doi.org/10.1109/aike52691.2021.00013openalex-snapshot
A Survey on Open Set Recognition
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386331openalex-snapshot
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data
inferred← citeshttps://doi.org/10.1109/csit56902.2022.10000626openalex-snapshot
A statistics-based performance testing methodology: a case study for the I/O bound tasks
inferred← citeshttps://doi.org/10.1109/eurocon.2019.8861526openalex-snapshot
Outlier detection in distribution companies business using real data set
inferred← citeshttps://doi.org/10.1109/fuzz62266.2025.11197685openalex-snapshot
Interpreting and Unifying Anomaly Scores with Antagonistic Fuzzy Sets
inferred← citeshttps://doi.org/10.1109/ic3i59117.2023.10397856openalex-snapshot
Data Mining and It's Applications in Healthcare
inferred← citeshttps://doi.org/10.1109/icaect49130.2021.9392404openalex-snapshot
Improving Accuracy of Air Pollution Prediction by Two Step Outlier Detection
inferred← citeshttps://doi.org/10.1109/icdabi51230.2020.9325683openalex-snapshot
Incremental Outlier Detection in Air Quality Data Using Statistical Methods
inferred← citeshttps://doi.org/10.1109/icde51399.2021.00011openalex-snapshot
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets
inferred← citeshttps://doi.org/10.1109/icdis50059.2020.00016openalex-snapshot
Explainable Detection of Zero Day Web Attacks
inferred← citeshttps://doi.org/10.1109/icdm.2018.00114openalex-snapshot
Outlier Detection in Urban Traffic Flow Distributions
inferred← citeshttps://doi.org/10.1109/iceca49313.2020.9297650openalex-snapshot
MOOCs and the Online Data Mining for Efficient Practical Framework of Catering Management for Foreign-related Tourist Hotels with Intelligent Tools
inferred← citeshttps://doi.org/10.1109/icicnis64247.2024.10823174openalex-snapshot
Modelling a Novel Linear Weighted Kernel Model for Thyroid Prediction
inferred← citeshttps://doi.org/10.1109/icscna63714.2024.10864228openalex-snapshot
Prediction of Thyroid Using Three-Stage Rule-Generative Associative Learning Model
inferred← citeshttps://doi.org/10.1109/iecon48115.2021.9589237openalex-snapshot
A Machine Learning approach to Intrusion Detection in Water Distribution Systems – A Review
inferred← citeshttps://doi.org/10.1109/mdm55031.2022.00030openalex-snapshot
Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection
inferred← citeshttps://doi.org/10.1109/nana53684.2021.00048openalex-snapshot
A Method for Fast Outlier Detection in High Dimensional Database Log
inferred← citeshttps://doi.org/10.1109/sbac-pad63648.2024.00017openalex-snapshot
High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow
inferred← citeshttps://doi.org/10.1109/tim.2022.3193736openalex-snapshot
A New Reconstruction Method for Measurement Data With Multiple Outliers
inferred← citeshttps://doi.org/10.1109/tkde.2021.3103571openalex-snapshot
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory
inferred← citeshttps://doi.org/10.1134/s0965544124010109openalex-snapshot
Feature Extraction and Clustering of Feed Oil from a S Zorb Unit Based on AE and PCA Algorithms
inferred← citeshttps://doi.org/10.1134/s1810232824010016openalex-snapshot
On Applicability of IQR Method for Filtering of Experimental Data
inferred← citeshttps://doi.org/10.1142/s0219455423501316openalex-snapshot
A Deep Learning-Based Method for Automatic Abnormal Data Detection: Case Study for Bridge Structural Health Monitoring
inferred← citeshttps://doi.org/10.1145/3441453openalex-snapshot
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
inferred← citeshttps://doi.org/10.1145/3447684openalex-snapshot
Anomaly Detection With Kernel Preserving Embedding
inferred← citeshttps://doi.org/10.1145/3524304.3524315openalex-snapshot
Distance Boxplot for Unsupervised Outlier Detection
inferred← citeshttps://doi.org/10.11591/ijai.v13.i1.pp329-336openalex-snapshot
Choosing allowability boundaries for describing objects in subject areas
inferred← citeshttps://doi.org/10.11648/j.sjams.20261402.11openalex-snapshot
Analysis of the Attributes of a Left-Right Football Midfielder
inferred← citeshttps://doi.org/10.1177/03611981221075028openalex-snapshot
Detecting Anomalies in National Bridge Inventory Databases Using Machine Learning Methods
inferred← citeshttps://doi.org/10.1177/07334648231162616openalex-snapshot
Is a Positive Intergenerational Workplace Climate Associated with Better Self-Perceived Aging and Workplace Outcomes? A Cross-Sectional Study of a Representative Sample of the Danish Working Population
inferred← citeshttps://doi.org/10.1177/18724981251321368openalex-snapshot
Managing industrial water treatment processes knowledge with knowledge graphs
inferred← citeshttps://doi.org/10.1186/s40537-021-00469-zopenalex-snapshot
Unsupervised outlier detection in multidimensional data
inferred← citeshttps://doi.org/10.1371/journal.pone.0244801openalex-snapshot
Quantifying people’s experience during flood events with implications for hazard risk communication
inferred← citeshttps://doi.org/10.14258/izvasu(2021)4-16openalex-snapshot
Generalized Algorithm for Finding Outliers in a Regression Model
inferred← citeshttps://doi.org/10.14361/9783839465905-005openalex-snapshot
3 Datenjournalismus: theoretische und empirische Einordnung
inferred← citeshttps://doi.org/10.14361/9783839465905-006openalex-snapshot
4 Heuristiken der Aushandlung und Visualisierung
inferred← citeshttps://doi.org/10.14361/9783839465905-007openalex-snapshot
5 Daten erkennen: Visualisierungen als Arbeitsoberfläche
inferred← citeshttps://doi.org/10.14361/9783839465905-008openalex-snapshot
6 Evidenz befestigen: Visualisierungen als Montage
inferred← citeshttps://doi.org/10.14361/9783839465905-009openalex-snapshot
7 Schlussbetrachtung: Mit den Daten spreche
inferred← citeshttps://doi.org/10.14569/ijacsa.2020.0110341openalex-snapshot
Intelligent System for Price Premium Prediction in Online Auctions
inferred← citeshttps://doi.org/10.17759/exppsy.2020130302openalex-snapshot
Two-Stage Search on Web Pages: Effects of Information Organisation and Task Complexity
inferred← citeshttps://doi.org/10.17762/turcomat.v12i3.1670openalex-snapshot
The “self-learning query” algorithm for searching scientific publications across specialized search engines
inferred← citeshttps://doi.org/10.18860/ca.v9i1.25450openalex-snapshot
Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1567713/v1openalex-snapshot
GAP method: a gap-based technique for outlier detection and its application to wildlife GPS data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1567713/v2openalex-snapshot
A gap-based dichotomization technique for outlier detection and its application to wildlife GPS data
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2418360/v1openalex-snapshot
GAP method: A dichotomization technique for outlier detection and its application to wildlife GPS data
inferred← citeshttps://doi.org/10.2139/ssrn.5369063openalex-snapshot
Top-down and Performancebased SME Loan PD Estimates Using Caixabank Data
inferred← citeshttps://doi.org/10.2139/ssrn.6623466openalex-snapshot
Beyond a model selection: the role of data representation for anomaly detection in smart buildings
inferred← citeshttps://doi.org/10.21686/2500-3925-2022-2-openalex-snapshot
Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes
inferred← citeshttps://doi.org/10.22201/enacif.30617588e.2022.1.1.16openalex-snapshot
La estimación del error en métodos cuantitativos para identificación humana: un experimento con las arcadas dentales
inferred← citeshttps://doi.org/10.22266/ijies2024.0430.44openalex-snapshot
Enhancing Prediction Accuracy in an Imbalanced Dataset of Dengue Infection Cases Using a Two-layer Ensemble Outlier Detection and Feature Selection
inferred← citeshttps://doi.org/10.23919/ae49394.2020.9232845openalex-snapshot
ROC Analysis of Extreme Seeking Entropy for Trend Change Detection
inferred← citeshttps://doi.org/10.2478/amns-2025-1028openalex-snapshot
Machine Learning Based Outlier Detection Algorithm for Distributed Flexible Sensing Module with Non-stationary Multi-Parametric Data
inferred← citeshttps://doi.org/10.2478/cejpp-2021-0007openalex-snapshot
Between incrementalism and punctuated equilibrium: the case of budget in Poland, 1995–2018
inferred← citeshttps://doi.org/10.30812/varian.v6i1.1886openalex-snapshot
Clustrering of BPJS National Health Insurance Participant Using DBSCAN Algorithm
inferred← citeshttps://doi.org/10.31142/ijtsrd25068openalex-snapshot
Liquidity-Profitability Trade-Off: A Panel Study of Listed Non-Financial Firms in Ghana
inferred← citeshttps://doi.org/10.31219/osf.io/f84htopenalex-snapshot
Anomaly Detection applied to Money Laundering Detecion using Ensemble Learning
inferred← citeshttps://doi.org/10.33003/fjs-2022-0601-908openalex-snapshot
COMPARATIVE STUDY OF SOME ESTIMATORS OF LINEAR REGRESSION MODELS IN THE PRESENCE OF OUTLIERS
inferred← citeshttps://doi.org/10.3389/fphy.2019.00194openalex-snapshot
Outlier Mining Methods Based on Graph Structure Analysis
inferred← citeshttps://doi.org/10.3390/app11052270openalex-snapshot
Outlier Detection with Explanations on Music Streaming Data: A Case Study with Danmark Music Group Ltd.
inferred← citeshttps://doi.org/10.3390/app122211393openalex-snapshot
Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data
inferred← citeshttps://doi.org/10.3390/app16073396openalex-snapshot
A Reproducible QA/QC, Imputation and Robust-Series Workflow for Air-Quality Monitoring Time Series
inferred← citeshttps://doi.org/10.3390/bdcc5010001openalex-snapshot
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
inferred← citeshttps://doi.org/10.3390/computers12120253openalex-snapshot
Towards Benchmarking for Evaluating Machine Learning Methods in Detecting Outliers in Process Datasets
inferred← citeshttps://doi.org/10.3390/electronics10182236openalex-snapshot
Unsupervised Outlier Detection: A Meta-Learning Algorithm Based on Feature Selection
inferred← citeshttps://doi.org/10.3390/ijms25063560openalex-snapshot
Extracellular Vesicle Protein Expression in Doped Bioactive Glasses: Further Insights Applying Anomaly Detection
inferred← citeshttps://doi.org/10.3390/info13110546openalex-snapshot
A Semantic Similarity-Based Identification Method for Implicit Citation Functions and Sentiments Information
inferred← citeshttps://doi.org/10.3390/jintelligence12040046openalex-snapshot
Metacognitive Management of Attention in Online Learning
inferred← citeshttps://doi.org/10.3390/ma16072743openalex-snapshot
Quantitative Analysis of Mixed Minerals with Finite Phase Using Thermal Infrared Hyperspectral Technology
inferred← citeshttps://doi.org/10.3390/ma18122833openalex-snapshot
Selecting the Optimal Calculation Method and Chemical Reagents in Surface Energy Tests of Asphalt Materials
inferred← citeshttps://doi.org/10.3390/make5030042openalex-snapshot
A Probabilistic Transformation of Distance-Based Outliers
inferred← citeshttps://doi.org/10.3390/math8050662openalex-snapshot
Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE
inferred← citeshttps://doi.org/10.3390/microorganisms11112773openalex-snapshot
Anomaly Detection Models for SARS-CoV-2 Surveillance Based on Genome k-mers
inferred← citeshttps://doi.org/10.3390/pr14142347openalex-snapshot
A State-Aware Multi-Evidence Residual Scoring Method for Early Overflow Warning Using Real-Time Mud-Logging Data
inferred← citeshttps://doi.org/10.3390/s25175216openalex-snapshot
Multi-View Clustering-Based Outlier Detection for Converter Transformer Multivariate Time-Series Data
inferred← citeshttps://doi.org/10.3390/standards3020010openalex-snapshot
Comparing the Effectiveness of Robust Statistical Estimators of Proficiency Testing Schemes in Outlier Detection
inferred← citeshttps://doi.org/10.3390/stats4040057openalex-snapshot
A Geometric Perspective on Functional Outlier Detection
inferred← citeshttps://doi.org/10.3390/su18126043openalex-snapshot
Detecting Spatial Outliers in Landscape Structure Using K-Means Clustering and Chernoff Face Analysis Across Temporal Scales
inferred← citeshttps://doi.org/10.3390/w14162492openalex-snapshot
Deep Reinforcement Learning Ensemble for Detecting Anomaly in Telemetry Water Level Data
inferred← citeshttps://doi.org/10.35914/mathstat.v2i1.179openalex-snapshot
Multivariate Analysis of the Attributes of a Central Attacking Midfielder
inferred← citeshttps://doi.org/10.37349/etat.2023.00143openalex-snapshot
Liquid biopsy: an examination of platelet RNA obtained from head and neck squamous cell carcinoma patients for predictive molecular tumor markers
inferred← citeshttps://doi.org/10.3926/jiem.3446openalex-snapshot
A machine learning approach to enable bulk orders of critical spare-parts in the shipping industry
inferred← citeshttps://doi.org/10.4018/ijismd.315024openalex-snapshot
Simulated Workbench Design for Characterisation and Selection of Appropriate Outlier Ensemble Algorithm
inferred← citeshttps://doi.org/10.4274/bmj.galenos.2025.2024.4-10openalex-snapshot
A Machine Learning Model to Predict HbA1c Values of Patients
inferred← citeshttps://doi.org/10.48550/arxiv.2003.01719openalex-snapshot
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.2107.12248openalex-snapshot
Are Bayesian neural networks intrinsically good at out-of-distribution detection?
inferred← citeshttps://doi.org/10.48550/arxiv.2108.06283openalex-snapshot
Random Subspace Mixture Models for Interpretable Anomaly Detection
inferred← citeshttps://doi.org/10.48550/arxiv.2111.11763openalex-snapshot
Uncertainty estimation under model misspecification in neural network regression
inferred← citeshttps://doi.org/10.51903/teknik.v1i2.324openalex-snapshot
Deteksi Anomali Menggunakan Extended Isolation Forest (Eif)
inferred← citeshttps://doi.org/10.5194/nhess-22-411-2022openalex-snapshot
Evaluation of filtering methods for use on high-frequency measurements of landslide displacements
inferred← citeshttps://doi.org/10.5441/002/edbt.2021.10openalex-snapshot
A Comparative Evaluation of Anomaly Explanation Algorithms
inferred← citeshttps://doi.org/10.70675/cb0cfa79z9e4cz439czb5a6zd1ac2747ba36openalex-snapshot
Détection d’anomalies dans les données mesurées dans les bâtiments par association de connaissances expertes et de techniques d’apprentissage automatique
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.