Geoff Webb

Q: What Schools Are Affiliated With Geoff Webb

Geoff Webb is affiliated with the following schools: McGill University, La Trobe University, Griffith University, University of Melbourne, Deakin University, Monash University

Geoff Webb's AcademicInfluence.com Rankings

Geoff Webb

Computer Science

#1866

World Rank

#1939

Historical Rank

Data Mining

#24

World Rank

#24

Historical Rank

Machine Learning

#245

World Rank

#248

Historical Rank

Database

#718

World Rank

#752

Historical Rank

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Computer Science

Geoff Webb's Degrees

PhD Computer Science Monash University
Bachelors Computer Science Monash University

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Why Is Geoff Webb Influential?

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According to Wikipedia, Geoffrey I. Webb is Professor of Computer Science at Monash University, founder and director of Data Mining software development and consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. Before joining Monash University he was on the faculty at Griffith University from 1986 to 1988 and then at Deakin University from 1988 to 2002.

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Geoff Webb's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Encyclopedia of Machine Learning (2011) (1181)
MultiBoosting: A Technique for Combining Boosting and Wagging (2000) (730)
Not So Naive Bayes: Aggregating One-Dependence Estimators (2005) (685)
Adaptive Control Processes (2010) (586)
Machine Learning for User Modeling (2001) (436)
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining (2009) (425)
InceptionTime: Finding AlexNet for time series classification (2019) (416)
Encyclopedia of Machine Learning and Data Mining (2017) (382)
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences (2018) (354)
Characterizing concept drift (2015) (306)
Lazy Learning of Bayesian Rules (2000) (272)
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series (2018) (263)
PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage Sites (2012) (261)
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels (2019) (256)
Discovering Significant Patterns (2007) (254)
OPUS: An Efficient Admissible Algorithm for Unordered Search (1995) (236)
Discretization for naive-Bayes learning: managing discretization bias and variance (2008) (222)
Efficient search for association rules (2000) (213)
Multistrategy ensemble learning: reducing error by combining ensemble learning techniques (2004) (209)
NMR of proteins and nucleic acids (2005) (207)
iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data (2019) (205)
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification (2014) (197)
Naïve Bayes (2010) (188)
Advances in Knowledge Discovery and Data Mining (2018) (181)
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites (2018) (180)
A comparative study of discretization methods for naive-Bayes classifiers (2002) (179)
A COVID-19 epidemic model with latency period (2020) (167)
Alleviating naive Bayes attribute independence assumption by attribute weighting (2013) (165)
Cascleave: towards more accurate prediction of caspase substrate cleavage sites (2010) (145)
On detecting differences between groups (2003) (136)
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome (2015) (135)
Further Experimental Evidence against the Utility of Occam's Razor (1996) (129)
K-Optimal Rule Discovery (2005) (128)
Decision Tree Grafting From the All Tests But One Partition (1999) (125)
Proportional k-Interval Discretization for Naive-Bayes Classifiers (2001) (123)
A novel selective naïve Bayes algorithm (2020) (121)
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy (2018) (120)
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles (2017) (119)
Lazy Learning (2010) (116)
On Why Discretization Works for Naive-Bayes Classifiers (2003) (114)
Discovering significant rules (2006) (111)
Discovering associations with numeric variables (2001) (111)
Proximity Forest: an effective and scalable distance-based classifier for time series (2018) (111)
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm (2016) (109)
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework. (2018) (108)
AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings (2004) (108)
TS-CHIEF: a scalable and accurate forest algorithm for time series classification (2019) (106)
Learning in Logic (2010) (105)
Supported Metal Catalysts: Preparation, Characterization, and Function: I. Preparation and Physical Characterization of Platinum Catalysts (1993) (103)
Effect of angiotensin receptor blockade on systemic right ventricular function and size: a small, randomized, placebo-controlled study. (2008) (97)
PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings (2006) (97)
On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions (2005) (96)
Generating Synthetic Time Series to Augment Sparse Datasets (2017) (94)
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification (2011) (90)
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification (2020) (88)
On the effect of data set size on bias and variance in classification learning (1999) (87)
Self-sufficient itemsets: An approach to screening potentially interesting associations between items (2010) (86)
Adjusted Probability Naive Bayesian Induction (1998) (84)
A comparative study of Semi-naive Bayes methods in classification learning (2005) (84)
Extremely Fast Decision Tree (2018) (83)
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites (2018) (83)
Discretization Methods (2005) (80)
Mean Absolute Error (2010) (74)
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites (2019) (73)
Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features (2014) (72)
The formation and role of carbonaceous residues in metal-catalysed reactions of hydrocarbons. (1990) (72)
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework (2018) (71)
Analyzing concept drift and shift from sample data (2018) (70)
Efficient lazy elimination for averaged one-dependence estimators (2006) (68)
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods (2018) (68)
Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom (2020) (67)
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets (2002) (65)
GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features (2016) (64)
PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection (2017) (63)
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences (2019) (63)
Supported Metal Catalysts: Preparation, Characterization, and Function: II. Carbon Monoxide and Dioxygen Adsorption on Platinum Catalysts (1993) (61)
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns (2008) (61)
Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only (2009) (60)
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization (2021) (58)
The enantioselective hydrogenation of methyl acetoacetate over supported nickel catalysts: I. The modification procedure (1992) (58)
Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs (2011) (57)
Feature-subspace aggregating: ensembles for stable and unstable learners (2011) (56)
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning (2012) (55)
Scalable Learning of Bayesian Network Classifiers (2016) (53)
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators (2007) (53)
Hydrogenation of acetylene over supported metal catalysts. Part 3.—[14C]tracer studies of the effects of added ethylene and carbon monoxide on the reaction catalysed by silica-supported palladium, rhodium and iridium (1979) (52)
Filtered‐top‐k association discovery (2011) (52)
Understanding Unreported Cases in the 2019-Ncov Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions (中国武汉新冠疫情中未报告有症状病例的数量及公共卫生防控措施重要性的研究) (2020) (52)
Discovering significant patterns (2008) (51)
Positive-unlabelled learning of glycosylation sites in the human proteome (2019) (51)
Radiochemical studies of chemisorption and catalysis: IX. The behavior of 14C-ethylene, 14C-propylene and tritium adsorbed on alumina- and silica-supported platinum catalysts (1970) (49)
Indexing and classifying gigabytes of time series under time warping (2017) (49)
Radiotracers in fluorine chemistry (1986) (48)
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI (2016) (48)
Selective Hydrogenation of Cinnamaldehyde over Supported Copper Catalysts (1997) (47)
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches (2017) (47)
Using Decision Trees for Agent Modeling: Improving Prediction Performance (2004) (46)
Ensemble Selection for SuperParent-One-Dependence Estimators (2005) (46)
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers (2003) (45)
Data Preparation (2010) (45)
Understanding Concept Drift (2017) (45)
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (1999) (45)
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information (2020) (44)
The adsorption and hydrogenation of benzene and toluene on alumina- and silica- supported palladium and platinum catalysts (1983) (44)
Test Data (2019) (43)
Supported metal catalysts: Preparation, characterization, and function. V. Activities and selectivities of platinum catalysts in the reactions of cyclopropane, ethene, 1,3-butadiene, and 2-butyne with dihydrogen (1996) (43)
Efficient Discovery of the Most Interesting Associations (2013) (42)
Area Under Curve (2020) (42)
Classifying under computational resource constraints: anytime classification using probabilistic estimators (2007) (42)
The Efficacy of a Low-Level Program Visualization Tool for Teaching Programming Concepts to Novice C Programmers (2000) (41)
Decision Tree Grafting (1997) (38)
Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies (2005) (37)
An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition (1999) (36)
Crysalis: an integrated server for computational analysis and design of protein crystallization (2016) (36)
TANGLE: Two-Level Support Vector Regression Approach for Protein Backbone Torsion Angle Prediction from Primary Sequences (2012) (36)
SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems (2017) (35)
Catalysis by group IB metals. Part 1.—Reaction of buta-1,3-diene with hydrogen and with deuterium catalysed by alumina-supported gold (1975) (35)
Survey of distance measures for quantifying concept drift and shift in numeric data (2018) (34)
Estimating bias and variance from data (2003) (34)
Estimating bias and variance from data (2003) (34)
Stochastic Attribute Selection Committees (1998) (34)
Monash Time Series Forecasting Archive (2021) (34)
RCPdb: An evolutionary classification and codon usage database for repeat-containing proteins. (2007) (33)
Efficient search of the best warping window for Dynamic Time Warping (2018) (33)
A tutorial on statistically sound pattern discovery (2017) (33)
Mining Negative Rules Using GRD (2004) (32)
Time series extrinsic regression (2020) (32)
Structural and dynamic properties that govern the stability of an engineered fibronectin type III domain (2015) (30)
Integrating machine learning with knowledge acquisition through direct interaction with domain experts (1996) (30)
Halogen-promoted γ-alumina Part II. The catalytic dehydrochlorination of 1,1,1-trichloroethane at room temperature on chlorinated γ-alumina (1991) (29)
Applications of 15N NMR to a study of tautomerism in some monocyclic azoles (1985) (29)
Identifying Approximate Itemsets of Interest in Large Databases (2004) (28)
Averaged One-Dependence Estimators: Preliminary Results (2002) (28)
Bioinformatic Approaches for Predicting substrates of Proteases (2011) (28)
Incremental Discretization for Naïve-Bayes Classifier (2006) (28)
The effect of hydrogen concentration on propyne hydrogenation over a carbon supported palladium catalyst studied under continuous flow conditions (2000) (27)
Tree Augmented Naive Bayes (2017) (27)
Instance-Dependent PU Learning by Bayesian Optimal Relabeling (2018) (26)
A Knowledge-Based Approach to Computer-Aided Learning (1988) (26)
Non-Disjoint Discretization for Naive-Bayes Classifiers (2002) (26)
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams (2018) (26)
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification (2021) (26)
Skopus: Mining top-k sequential patterns under leverage (2015) (26)
Sample-Based Attribute Selective A$n$ DE for Large Data (2017) (25)
Comparison of lazy Bayesian rule, and tree-augmented Bayesian learning (2002) (25)
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact (2019) (25)
Radiotracers in fluorine chemistry : XIII. Catalysis by Fluorinated Surfaces: The Interaction of [36Cl]-Chlorine Labelled Hydrogen Chloride and 1,1-Dichlorotetrafluoroethane with Fluorinated Chromia Catalysts (1989) (24)
Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules (2021) (23)
Proceedings of the 17th Australian Joint Conference on Artificial Intelligence (2004) (23)
The Role of Spirituality in Coping with Visual Impairment (2008) (23)
Catalysis by carbides, nitrides, and Group VIII intermetallic compounds (1982) (22)
Halogen exchange reactions for CFC alternatives. (1999) (22)
FastEE: Fast Ensembles of Elastic Distances for time series classification (2019) (22)
A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests (2016) (22)
Smoothing a rugged protein folding landscape by sequence-based redesign (2016) (21)
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction (2020) (21)
Market Basket Analysis (2010) (21)
Mixture Modeling (2019) (21)
Cost-Sensitive Specialization (1996) (21)
Scaling Log-Linear Analysis to High-Dimensional Data (2013) (21)
Comparative evaluation of alternative induction engines for Feature Based Modelling (1997) (20)
Efficient parameter learning of Bayesian network classifiers (2017) (20)
Preliminary investigations into statistically valid exploratory rule discovery (2003) (20)
Selective AnDE for large data learning: a low-bias memory constrained approach (2017) (20)
Recent advances in solid-state NMR (2001) (20)
Identifying markers of pathology in SAXS data of malignant tissues of the brain (2005) (20)
A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification (2009) (20)
Generality Is Predictive of Prediction Accuracy (2006) (20)
Transmission electron microscopy and energy dispersive X-ray spectroscopy studies of Pt-Re/γ-Al2O3 catalysts (1994) (20)
Generative Learning (2010) (19)
Monash University, UEA, UCR Time Series Regression Archive (2020) (19)
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes (2017) (19)
A Comparison of First-Order and Zeroth-Order Induction for Input-Output Agent Modelling (1997) (19)
Solving Regression Problems Using Competitive Ensemble Models (2002) (18)
Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm (1992) (18)
MetalExplorer, a Bioinformatics Tool for the Improved Prediction of Eight Types of Metal-Binding Sites Using a Random Forest Algorithm with Two- Step Feature Selection (2017) (18)
Ensembles of Localised Models for Time Series Forecasting (2020) (18)
Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites (2017) (18)
Periscope: quantitative prediction of soluble protein expression in the periplasm of Escherichia coli (2016) (18)
Catalysis of reactions involving the reduction of decomposition of nitrogen oxides (1982) (18)
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles (2006) (18)
Critical currents in A‐15 structure Nb3Al converted from cold‐worked bcc structure (1980) (18)
A 14C-radiotracer study of the hydrogenation of ethyne over EUROPT-1 (1993) (18)
Positive-unlabeled learning in bioinformatics and computational biology: a brief review (2021) (17)
Recent Progress in Learning Decision Lists by Prepending Inferred Rules (1994) (17)
Distance Measures (2010) (17)
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators (2007) (17)
Time series classification for varying length series (2019) (17)
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data (2014) (16)
15N NMR studies of the tautomeric equilibrium of some 1‐hydroxybenzotriazoles (1985) (16)
Elastic bands across the path: A new framework and methods to lower bound DTW (2018) (16)
Distance Functions (2010) (16)
Apprenticeship Learning (2010) (16)
Radiochemical studies of chemisorption and catalysis: X. Adsorptions of [14C]ethylene and [14C]carbon monoxide on rhodium-silica and [14C]ethylene on rhodium-alumina (1973) (15)
An Age and Spatially Structured Model of Tumor Invasion with Haptotaxis II (2008) (15)
Ab‐initio study of germanium di-interstitial using a hybrid functional (HSE) (2016) (15)
Mining significant association rules from uncertain data (2016) (15)
The complete works of Sir John Vanbrugh (15)
Neural Network Architecture (2010) (15)
Partial purification and some properties of a cholinesterase from bush bean (Phaseolus vulgaris L.) roots. (1978) (15)
Proceedings of the 10th IEEE International Conference on Data Mining (ICDM) (2010) (15)
Deactivation and selectivity: The effect of hydrogen concentration in propyne hydrogenation over a silica-supported palladium catalyst (1999) (15)
Sponsored Search (2010) (14)
Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis (2017) (14)
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression (2014) (14)
Nitrogen-14 nmr evidence for the pentazole ring structure (1975) (14)
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity (2017) (14)
Medium effects on nitrogen nuclear shielding in methyl nitrate and methyl isothiocyanate assessed by the solvaton model (1987) (14)
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map (2019) (14)
Radiochemical studies of chemisorption and catalysis: XII. Studies of the adsorption of [14C]acetylene, [14C]ethylene and [14C]carbon monoxide on silica- and alumina-supported rhodium catalysts (1973) (14)
Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees (1999) (14)
Plan Recognition (2010) (14)
1H, 13C and 15N NMR study of some triazolo‐ and tetrazolopyridazines and thioxotriazolopyridines (1999) (14)
Fischer-tropsch synthesis and related reactions (1982) (13)
Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations (2021) (13)
Candidate Elimination Criteria for Lazy Bayesian Rules (2001) (13)
Markov Random Field (2010) (13)
Learning crew scheduling constraints from historical schedules (2013) (13)
Sulphur-35 radiotracer studies of the effect of hydrogen sulphide on a molybdenum disulphide catalyst in the hydrogenation of buta-1,3-diene (1984) (12)
EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes (2010) (12)
Scaling log-linear analysis to datasets with thousands of variables (2015) (12)
Evaluation of Feature Based Modelling in Subtraction (1992) (12)
Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases (2005) (12)
Learning Decision Lists by Prepending Inferred Rules (2005) (12)
A machine learning approach to student modelling (1989) (12)
Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning (1998) (12)
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images (2003) (12)
Removing trivial associations in association rule discovery ∗ (2005) (12)
Toward Electronic Surveillance of Invasive Mold Diseases in Hematology-Oncology Patients: An Expert System Combining Natural Language Processing of Chest Computed Tomography Reports, Microbiology, and Antifungal Drug Data. (2017) (12)
Hydrogenation of olefins. Part 2.—Reaction of ethylene with deuterium over alumina-supported ruthenium and osmium (1965) (12)
Deep Learning for the Classification of Sentinel-2 Image Time Series (2019) (12)
Radiochemical studies of chemisorption and catalysis: XI. A mass-spectrometric study of the interaction of ethylene, carbon monoxide and hydrogen with a rhodium-silica catalyst (1973) (12)
Supported Metal Catalysts: Preparation, Characterization, and Function: IV. Study of Hydrogen Sulphide and Carbonyl Sulphide Adsorption on Platinum Catalysts (1996) (12)
Preface to UMUAI Special Issue on Machine Learning for User Modeling (2004) (12)
Hydrogenation over boehmite/γ-Al2O3 catalysts (1979) (12)
Adjusting Dependence Relations for Semi-Lazy TAN Classifiers (2003) (12)
Fast and Effective Single Pass Bayesian Learning (2013) (11)
Transition Probabilities (2010) (11)
Magnum Opus version 1 (2001) (11)
Highly Scalable Attribute Selection for Averaged One-Dependence Estimators (2014) (11)
HEAL: an automated deep learning framework for cancer histopathology image analysis (2021) (11)
The synthesis of ethene during the oxidative coupling of methane (1989) (11)
Multiple Boosting: A Combination of Boosting and Bagging (1998) (11)
Transparency Debugging with Explanations for Novice Programmers (1995) (11)
A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data (2014) (11)
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption (2016) (11)
Mining significant crisp-fuzzy spatial association rules (2018) (10)
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models (2019) (10)
Application of 15N NMR to a quantitative investigation of tautomerism in some thiolopyridines (1985) (10)
Cell graph neural networks enable the precise prediction of patient survival in gastric cancer (2022) (10)
The Problem of Missing Values in Decision Tree Grafting (1998) (10)
Process-Based Modeling (2010) (10)
Incorporating canonical discriminant attributes in classification learning (1994) (10)
Deep Broad Learning - Big Models for Big Data (2015) (10)
$$\text {ALR}^n$$ALRn: accelerated higher-order logistic regression (2016) (10)
PROSPECT: A web server for predicting protein histidine phosphorylation sites (2020) (10)
A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping (2020) (10)
Catalysis by solid acids and bases (1989) (10)
Dual Control (2010) (10)
Some aspects of high‐pressure NMR (1986) (10)
Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling (1998) (9)
Deactivation and regeneration of alkane dehydrogenation catalysts (1997) (9)
Feature Based Modelling (1993) (9)
Mean Squared Error (2010) (9)
Negative Predictive Value (2010) (9)
Caretakers' knowledge and preparation abilities of salt-sugar solution in north-eastern Nigeria. (1997) (9)
Anytime classification for a pool of instances (2009) (9)
Live fuel moisture content estimation from MODIS: A deep learning approach (2021) (9)
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers (2017) (9)
Supervised Descriptive Rule Induction (2010) (9)
The mechanism of ethylene formation on chloride and oxychloride catalysts (1992) (9)
EDUCATIONAL EVALUATION OF FEATURE-BASED MODELLING IN A PROBLEM SOLVING DOMAIN (1990) (9)
Strong metal-support interactions (1983) (8)
PCA-based drift and shift quantification framework for multidimensional data (2020) (8)
Generality is more significant than complexity : Toward an alternative to Occam ’ s Razor (1994) (8)
Discretization for Data Mining (2005) (8)
Adsorption of [14C]acetylene and [14C]ethylene on supported metal catalysts: relevance to the selective hydrogenation of acetylene (1977) (8)
Classification Learning Using All Rules (1998) (8)
MultiRocket: Effective summary statistics for convolutional outputs in time series classification (2021) (8)
Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City (2022) (8)
MAN-MACHINE COLLABORATION FOR KNOWLEDGE ACQUISITION (1992) (8)
Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity (2017) (8)
Pruning Derivative Partial Rules During Impact Rule Discovery (2005) (8)
Further Pruning for Efficient Association Rule Discovery (2001) (8)
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining (2017) (8)
Modelling of alkane dehydrogenation under transient and steady state conditions over a chromia catalyst using isotopic labelling. (1999) (8)
Attribute Selection (2010) (8)
Language Bias (2010) (8)
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases. (2020) (8)
Sequential Data (2010) (7)
Preconditioning an Artificial Neural Network Using Naive Bayes (2016) (7)
A COVID-19 Epidemic Model Predicting the Effectiveness of Vaccination in the US (2021) (7)
Discriminative Learning (2010) (7)
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning (2022) (6)
Decreasingly naive Bayes: Aggregating n-dependence estimators (2010) (6)
OCTID: a one-class learning-based Python package for tumor image detection (2021) (6)
A systemic approach to the database marketing process (2002) (6)
Adaptive System (2010) (6)
Recent progress in machine-expert collaboration for knowledge acquisition (1995) (6)
Statistically sound pattern discovery (2014) (6)
Averaged One-Dependence Estimators (2010) (6)
ALRn: accelerated higher-order logistic regression (2016) (6)
ANALYSIS OF A REACTION–DIFFUSION EPIDEMIC MODEL WITH ASYMPTOMATIC TRANSMISSION (2020) (6)
Characterization of catalysts by electron microscopy (1982) (6)
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations (2022) (6)
Skopus: Exact discovery of the most interesting sequential patterns under Leverage (2015) (6)
Empirical function attribute construction in classification learning (1994) (6)
The catalytic hydrogenation of organic compounds–a comparison between the gas–phase, liquid–phase, and electrochemical routes (1983) (6)
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers (2012) (6)
Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series (2020) (6)
Early abandoning and pruning for elastic distances including dynamic time warping (2021) (6)
Stream Mining (2010) (5)
Structure differentiation by means of lanthanide-induced nitrogen-14 chemical shifts (1975) (5)
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series (2020) (5)
Using Sentinel-2 Image Time Series to map the State of Victoria, Australia (2019) (5)
A Heuristic Lazy Bayesian Rule Algorithm (2002) (5)
Techniques for Efficient Empirical Induction (1988) (5)
Leave-One-Out Error (2010) (5)
Spam Detection (2010) (5)
Generalization Performance (2010) (5)
Fluorination of chlorofluoroethanes by hydrogen (18F)-fluoride in the presence of a chromia catalyst (1984) (5)
Decision Rule (2020) (5)
DISCRIMINANT ATTRIBUTE FINDING IN CLASSIFICATION LEARNING (1992) (5)
The retention of hydrogen by supported metal catalysts (1967) (5)
Learning Lazy Rules to Improve the Performance of Classifiers (2000) (5)
Meeting of ICRP. (2004) (5)
Application of machine learning to a renal biopsy database. (1992) (5)
Nonparametric Bayesian (2010) (5)
MiniRocket (2021) (5)
Statistically Sound Exploratory Rule Discovery (2004) (5)
A Model of Vaccination for Dengue in the Philippines 2016–2018 (2021) (5)
Preparation of [36CI]-chlorine labelled 1,1-dichlorotetrafluoroethane (1988) (5)
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory (2004) (5)
Propyne Hydrogenation Over A Silica-Supported Platinum Catalyst Studied Under Transient Conditions (1999) (5)
Latent Factor Models and Matrix Factorizations (2010) (5)
Prior Probability (2010) (5)
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction (2022) (5)
Deep Learning for Time Series Anomaly Detection: A Survey (2022) (5)
Production of alkenes over chromia catalysts: Effect of potassium on reaction sites and mechanism (2000) (5)
The Unification Tutor-An Intelligent Educational System in the Classroom (1989) (5)
Temporal Data (2010) (5)
Monash University, UEA, UCR Time Series Extrinsic Regression Archive (2020) (5)
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm (2015) (5)
Structural Capacitance in Protein Evolution and Human Diseases. (2018) (4)
A systematic search algorithm and its application to categorical attribute-value data-driven machine learning (1993) (4)
An attribute-value machine learning approach to student modelling (1991) (4)
Tight lower bounds for Dynamic Time Warping (2021) (4)
A Fast Trust-Region Newton Method for Softmax Logistic Regression (2017) (4)
Cell graph neural networks enable digital staging of tumour microenvironment and precisely predict patient survival in gastric cancer (2021) (4)
Samuel's Checkers Player (2010) (4)
Critical currents in Nb 3 Ge based pseudobinaries (1979) (4)
Posterior Probability (2010) (4)
HYDRA: Competing convolutional kernels for fast and accurate time series classification (2022) (4)
Data Mining and Knowledge Discovery: Editorial (2007) (4)
Scalable Learning of Graphical Models (2016) (4)
Use of radiotracers in the study of surface catalysed processes (1983) (4)
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting (2021) (4)
Generative and Discriminative Learning (2010) (4)
ECCLES: AN 'EXPERT SYSTEM' FOR C.A.L. (1985) (4)
Decision Stump (2010) (4)
An eager splitting strategy for online decision trees in ensembles (2020) (4)
A Strong Baseline for Weekly Time Series Forecasting (2020) (4)
AI for monitoring the Sustainable Development Goals and supporting and promoting action and policy development (2020) (4)
Radiotracers in fluorine chemistry. Part 18 [1]. Sulphur tetrafluoride chlorofluorination catalysed by Group 1 fluorides supported on fluorinated γ-alumina. A comparison with unsupported fluorides (1994) (4)
INSIDE THE UNIFICATION TUTOR : THE ARCHITECTURE OF AN INTELLIGENT EDUCATIONAL SYSTEM (2005) (4)
Improving an inverse model of sheet metal forming by neural network based regression (2002) (4)
Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data (2018) (4)
Elastic Similarity Measures for Multivariate Time Series Classification (2021) (4)
Ultra fast warping window optimization for Dynamic Time Warping (2021) (4)
Dynamic behaviour of 1,1,2-trichlorotrifluorethane on aluminium(III) chloride and related surfaces (2000) (4)
Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions (1997) (3)
Preparation and Properties of a Pt/Silica and its Comparison with Europt-1 (1991) (3)
Predicting the rolling force in hot steel rolling mill using an ensemble model (2002) (3)
Association discovery (2010) (3)
Control , capabilities and communication : Three key issues for machine – expert collaborative knowledge-acquisition (1993) (3)
A New Restricted Bayesian Network Classifier (2003) (3)
From 'controllable dose' to the 'next recommendations' (2001) (3)
What to Think About Antibiotic Prophylaxis and Infective Endocarditis. (2016) (3)
Test Set (2010) (3)
Mixture Distribution (2010) (3)
Processes occurring during deactivation/regeneration of a vanadia/alumina catalyst under propane dehydrogenation conditions (2001) (3)
Low temperature magnetic susceptibilities of some six-coordinate Co(II) compounds (1971) (3)
Efficiently Identifying Exploratory Rules' Significance (2006) (3)
Multi-modal temporal CNNs for live fuel moisture content estimation (2022) (3)
Evaluation of Low-Level Program Visualisation for Teaching Novice C Programmers (1999) (3)
Integrating Machine Learning with Knowledge Acquisition (2002) (3)
Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series (2019) (3)
Corrigendum: Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity [Briefings in Bioinformatics, (2017)] doi: 10.1093/bib/bbx018 (2017) (3)
Discovery of amino acid motifs for thrombin cleavage and validation using a model substrate. (2011) (3)
Advances in Knowledge Discovery and Data Mining (2018) (3)
Linear Separability (2010) (3)
Bayes Rule (2010) (3)
Testing the significance of patterns in data with cluster structure (2010) (3)
Stacked Generalization (2010) (2)
COGNITIVE DIAGNOSIS USING STUDENT ATTRIBUTIONS (1988) (2)
Decision Trees For Regression (2010) (2)
Learning from Labeled and Unlabeled Data (2010) (2)
Wind Power Dataset (4 Seconds Observations) (2020) (2)
Fault detection in a cold forging process through feature extraction with a neural network (2002) (2)
Genetic Grouping (2010) (2)
Anytime Algorithm (2010) (2)
Emergent and Unspecified Behaviors in Streaming Decision Trees (2020) (2)
Amercing: An intuitive and effective constraint for dynamic time warping (2023) (2)
Modification of Supported and Unsupported Nickel Catalysts by α-Amino and α-Hydroxy Acids for Chiral Reactions (1995) (2)
Genetic Clustering (2010) (2)
On the possibility of carnitine binding within the brown adipose tissue cell. (1978) (2)
Alternative strategies for decision list construction (2003) (2)
Bias Variance Decomposition (2010) (2)
Modelling Elementary Subtraction : Intelligent Warfare Against Bugs (2005) (2)
Mean Error (2010) (2)
Tree-Based Regression (2010) (2)
Bridging radiation policy and science (2000) (2)
The parameter identification problem for SIR epidemic models: identifying unreported cases (2018) (2)
Smooth Perturbations for Time Series Adversarial Attacks (2022) (2)
Training Time (2010) (2)
Positive Semidefinite (2010) (2)
Decision Epoch (2010) (1)
Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries (2008) (1)
KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2015) (1)
Courseware abstraction: reducing development costs while producing qualitative improvements in CAL (1989) (1)
Elastic similarity and distance measures for multivariate time series (2021) (1)
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification (2023) (1)
Parameterizing the cost function of Dynamic Time Warping with application to time series classification (2023) (1)
DEBUGGING USING PARTIAL MODELS (1991) (1)
Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities (2018) (1)
Dual-model : An Architecture for Utilizing Temporal Information in Student Modeling Bark (2005) (1)
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement (2022) (1)
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping (2021) (1)
Semi-naive Bayesian Learning (2010) (1)
Does social good justify risking personal privacy? (2014) (1)
Nitrogen NMR and molecular interations (1985) (1)
Early Abandoning PrunedDTW and its application to similarity search (2020) (1)
Techniques for Efficient Learning without Search (2012) (1)
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 (2010) (1)
Not so naive Bayesian classification (2003) (1)
Erratum: Discovering significant patterns (Machine Learning (2007) 68 (1-33) DOI:10.1007/s10994-007-5006-x) (2008) (1)
DLGref 2 : Techniques for Inductive Knowledge Refinement (2005) (1)
Dynamic behavior of chlorofluoroethanes at halogenated surfaces (1989) (1)
Separation of the hydrodesulphurisation products of thiophene by gas chromatography (1985) (1)
Polygonal inductive generalisation system (1995) (1)
Exact discovery of the most interesting sequential patterns (2015) (1)
Tamping Effectiveness Prediction Using Supervised Machine Learning Techniques (2018) (1)
The activities and funding of IRPA: an overview (2002) (1)
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption (2016) (1)
Anytime learning and classification for online applications (2006) (1)
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error (2018) (1)
Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining (2014) (1)
Proceedings of the 12th IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2012 (2012) (1)
Rule optimisation and theory optimisation : Heuristic search strategies for data driven machine learning (2005) (1)
OP 6.3 – 00150 Delivery and long-term expression of CCR5-blocking monoclonal antibody Leronlimab with AAV for ART-free remission from SHIV viremia (2022) (1)
Predicate Invention (2010) (1)
Passive Learning (2010) (1)
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining (2005) (1)
Bellman Equation (2010) (1)
Agent-Based Simulation Models (2010) (1)
Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372) (2020) (1)
PAC Identification (2010) (1)
Positive Definite (2010) (1)
Attribute-Value Learning (2010) (1)
Growth Function (2010) (1)
Trajectory Data (2010) (1)
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning (2011) (1)
Dimensionality Reduction on Text via Feature Selection (2010) (1)
Solution Concept (2010) (1)
Stratified Cross Validation (2010) (1)
Markov Network (2010) (1)
True Negative (2010) (1)
Basic Lemma (2010) (1)
Negative Correlation Learning (2010) (1)
Algorithm Evaluation (2020) (1)
Dynamic Decision Networks (2010) (1)
Spike-Timing-Dependent Plasticity (2010) (1)
Blog Mining (2010) (1)
Shannon's Information (2010) (1)
Decision Threshold (2010) (1)
Learning Bias (2010) (1)
Time dependence of magnetic flux penetration in Nb and Nb<inf>3</inf>Sn (1985) (1)
Bias-Variance-Covariance Decomposition (2010) (1)
Wind Farms Dataset (without Missing Values) (2020) (1)
An accurate and fully-automated ensemble model for weekly time series forecasting (2022) (1)
CIF 2016 Dataset (2020) (1)
DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images (2022) (1)
Positive-unlabelled learning of glycosylation sites in the human proteome (2019) (1)
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models (2019) (1)
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey (2023) (1)
FaSS: Ensembles for Stable Learners (2009) (1)
Applications of nuclear shielding (1982) (1)
The implementation of lazy Bayesian rule in Weka system (2001) (0)
OPUS Miner Algorithm for Filtered Top-k Association Discovery [R package opusminer version 0.1-1] (2020) (0)
Improving the efficiency of rule-based expert systems by rule activation (1990) (0)
Distribution 2003 - Application Technology Renewable Energy Standards (2003) (0)
An AdaBoost Algorithm for Multiclass Semi-Supervised Learning (2013) (0)
String Matching Algorithm (2010) (0)
Most General Hypothesis (2010) (0)
Nonparametric Cluster Analysis (2010) (0)
Multi-Armed Bandit (2010) (0)
The IEEE International Conference on Data Mining (10th) Held in Sydney, Australia on 14-17 December 2010 (2010) (0)
True Negative Rate (2010) (0)
Text Learning (2010) (0)
Learning Control Rules (2010) (0)
Taxicab Norm Distance (2010) (0)
Growing Set (2010) (0)
Projecting live fuel moisture content via deep learning (2023) (0)
Sunspot Daily Dataset (with Missing Values) (2020) (0)
An outbreak vector-host epidemic model with spatial structure: the 2015–2016 Zika outbreak in Rio De Janeiro (2017) (0)
True Positive (2010) (0)
BIDMC Heart Rate Dataset (32 seconds window) (2020) (0)
Training Curve (2010) (0)
Efficient parameter learning of Bayesian network classifiers (2017) (0)
Markov Net (2010) (0)
Loss Function (2010) (0)
UvA-DARE ( Digital Academic Repository ) An AdaBoost algorithm for multiclass semi-supervised learning (2013) (0)
PAC-MDP Learning (2010) (0)
Positive Predictive Value (2010) (0)
Ontology Learning (2010) (0)
Associative Bandit Problem (2010) (0)
Starting Clause (2010) (0)
Solving Semantic Ambiguity (2010) (0)
FRED-MD Dataset (2020) (0)
Labeled Data (2010) (0)
Object Space (2010) (0)
NN5 Daily Dataset (without Missing Values) (2020) (0)
Household Active Power Consumption Dataset (2020) (0)
Adsorption of Chiral 2,2‘-Substituted-1,1’-Binaphthalenes onto Silica-Supported Palladium and Nickel (2006) (0)
General chairs’ preface (2018) (0)
Program Synthesis From Examples (2010) (0)
Optimal Pruning for Unordered Search : A systematic search algorithm (1993) (0)
Traffic Hourly Dataset (2020) (0)
Generative CAL and courseware abstraction (1987) (0)
London Smart Meters Dataset (without Missing Values) (2020) (0)
McDiarmid's Inequality (2010) (0)
Long-Term Potentiation of Synapses (2010) (0)
M4 Daily Dataset (2020) (0)
Solar Weekly Dataset (2020) (0)
Pruning Set (2010) (0)
Convex Hulls in Concept Induction (1999) (0)
Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence (2004) (0)
Introduction: special issue of selected papers of ACML 2013 (2015) (0)
A spatial model of honey bee colony collapse due to pesticide contamination of foraging bees (2020) (0)
Introduction: special issue of selected papers of ACML 2013 (2015) (0)
LOO Error (2010) (0)
Belief State Markov Decision Processes (2010) (0)
Bottom Clause (2010) (0)
Most Specific Hypothesis (2010) (0)
Convex hulls as an hypothesis language bias (2003) (0)
Experimentation and self learning in continuous database marketing (2002) (0)
Duplicate Detection (2010) (0)
Squared Error (2010) (0)
Bootstrap Sampling (2009) (0)
Vaccine efficacy for COVID-19 outbreak in New York City (2021) (0)
Semantic Mapping (2010) (0)
Statistical Physics Of Learning (2010) (0)
Average-Cost Optimization (2010) (0)
Bandit Problem with Side Observations (2010) (0)
Selective AnDE for large data learning: a low-bias memory constrained approach (2016) (0)
Generalized Delta Rule (2010) (0)
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships (2023) (0)
Out-of-Sample Evaluation (2010) (0)
Most Similar Point (2010) (0)
Genetic Neural Networks (2010) (0)
Fluorine ion supported on γ-alumina: Characterisation and catalytic activity (1989) (0)
M Mining Group Differences (2015) (0)
Threshold Phenomena in Learning (2010) (0)
Structured Data Clustering (2010) (0)
Programming from Traces (2010) (0)
Parallel Corpus (2010) (0)
Bandit Problem with Side Information (2010) (0)
TDIDT Strategy (2010) (0)
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes (2018) (0)
Monash, UEA & UCR Time Series Regression Datasets (2020) (0)
M1 Yearly Dataset (2020) (0)
Techniques for integrating machine learning with knowledge acquisition (2002) (0)
Data Mining On Text (2010) (0)
Mining significant association rules from uncertain data (2016) (0)
Speedup Learning for Planning (2010) (0)
A diffusive SEIR model for community transmission of Covid-19 epidemics: application to Brazil (2021) (0)
Solar Dataset (10 Minutes Observations) (2020) (0)
Topic Mapping (2010) (0)
Mean Absolute Deviation (2010) (0)
Simple Bayes (2010) (0)
Training Examples (2010) (0)
Bayes Net (2010) (0)
Modularity Detection (2010) (0)
Test-Based Coevolution (2010) (0)
Benzene Concentration Dataset (2020) (0)
Vehicle Trips Dataset without Missing Values (2021) (0)
Survey of distance measures for quantifying concept drift and shift in numeric data (2018) (0)
Domain and tutoring knowledge in computer-aided learning (1987) (0)
PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection (2017) (0)
Distribution-Free Learning (2010) (0)
Genetics-Based Machine Learning (2010) (0)
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification (2011) (0)
Genetic Feature Selection (2010) (0)
String Kernel (2010) (0)
Analyzing concept drift and shift from sample data (2018) (0)
Typical Complexity of Learning (2010) (0)
Liquid State Machine (2010) (0)
Local Distance Metric Adaptation (2010) (0)
Beyond Adaptation: Understanding Distributional Changes (2021) (0)
Live Fuel Moisture Content Dataset (2020) (0)
Bilingual Lexicon Extraction (2010) (0)
Predicate Calculus (2010) (0)
Evaluation of Learning Algorithms (2017) (0)
Bounded Differences Inequality (2010) (0)
Distance Metrics (2010) (0)
Offline Learning (2010) (0)
Estimating Divergences in High Dimensions (2021) (0)
A tutorial on statistically sound pattern discovery (2018) (0)
Absolute Error Loss (2010) (0)
Construction of a preliminary three-dimensional structure of angiogenin (1994) (0)
Electronic Sub-titles for Opera Librettos: The Case of Figaro (2015) (0)
Computing Divergences between Discrete Decomposable Models (2021) (0)
Piecewise Constant Models (2010) (0)
Dependency Directed Backtracking (2010) (0)
Networks with Kernel Functions (2010) (0)
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning (2020) (0)
Improving the prediction of the roll separating force in a hot steel finishing mill (2003) (0)
Association Discovery (Keynote) (2010) (0)
Copyrigh itance in Protein uman Diseases (2018) (0)
COVID‐19 restrictions and the incidence and prevalence of prescription opioid use in Australia – a nationwide study (2022) (0)
Assessing Data Mining Results on Matrices with Randomization (2010) (0)
Structural Capacitance in Protein Evolution and Human Diseases (2018) (0)
Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADEL. (2022) (0)
Temporal Credit Assignment (2010) (0)
Beijing PM10 Dataset (2020) (0)
Finding the real patterns (2005) (0)
Missing Values (2010) (0)
Postsynaptic Neuron (2010) (0)
Structural Credit Assignment (2010) (0)
Piecewise Linear Models (2010) (0)
Morphosyntactic Disambiguation (2010) (0)
Learning with Hidden Context (2010) (0)
Learning from Complex Data (2010) (0)
Symmetrization Lemma (2010) (0)
Markovian Decision Rule (2010) (0)
Ordered Rule Set (2010) (0)
Multistrategy Ensemble Learning (2010) (0)
Partial rules : Another class of derivative and potentially uninteresting rules (2005) (0)
The Domain-Analysis Based Instruction System (2006) (0)
ALRn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {ALR}^n$$\end{document}: accelerated higher-order logistic r (2016) (0)
Nogood Learning (2010) (0)
Training Instances (2010) (0)
Breakeven Point (2010) (0)
TS-CHIEF: a scalable and accurate forest algorithm for time series classification (2020) (0)
Covid-19 Death Rate Dataset (2020) (0)
Sequential Inductive Transfer (2010) (0)
Mistake-Bounded Learning (2010) (0)
One-Step Reinforcement Learning (2010) (0)
Local Feature Selection (2010) (0)
Data ageing: a technique for discounting old data during student modelling (1998) (0)
Deductive Learning (2010) (0)
PCA-based drift and shift quantification framework for multidimensional data (2020) (0)
Average-Payoff Reinforcement Learning (2010) (0)
SEKE 2003 : the 15th International Conference on Software Engineering & Knowledge Engineering : proceedings, technical program, July 1-3, 2003, San Francisco, California, USA (2003) (0)
Overall and Class-Sensitive Frequencies (2010) (0)
Batch Learning (2010) (0)
General-to-Specific Search (2010) (0)
The role of surface chloride in the reactions of chlorofluoroethanes on fluorinated chromia catalysts (1987) (0)
Did Australia's COVID-19 Restrictions Impact Statin Incidence, Prevalence or Adherence? (2022) (0)
Nonstationary Kernels (2010) (0)
Learning from Nonvectorial Data (2010) (0)
Nairn conference supplement (2007) (0)
Learning with Different Classification Costs (2010) (0)
FastEE: Fast Ensembles of Elastic Distances for time series classification (2019) (0)
Lessons-Learned Systems (2010) (0)
Bayes Adaptive Markov Decision Processes (2010) (0)
News Headline Sentiment Dataset (2020) (0)
Australia Rainfall Dataset (2020) (0)
Dynamic Programming For Relational Domains (2010) (0)
Knowledge-Based Flow of Control in Computer-Aided Learning (1986) (0)
Learning classifiers that perform probabilistic classification under computational resource constraints (2005) (0)
Occam's Razor (2010) (0)
Model Evaluation (2010) (0)
Characterizing concept drift (2016) (0)
Object Consolidation (2010) (0)
Nuanced Interpretation of Administrative Data: The Case of Hospitalization for Infective Endocarditis in Adults With Tetralogy of Fallot. (2019) (0)
Effects of permethrin treated wood on the subterranean termite Reticulitermes flavipes (Kollar) and comparison of solvent extraction for HPLC analysis of permethrin in wood (2016) (0)
Panel: a data scientist's guide to making money from start-ups (2013) (0)
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations (2022) (0)
Appliances Energy Dataset (2020) (0)
13C and15N NMR Study of the structures of two novel 1,2,3,7-oxatriazepine and 1,2,3-triazine fused systems (1987) (0)
Logical Regression Tree (2010) (0)
Linear Regression Trees (2010) (0)
Learning Word Senses (2010) (0)
Symbolic Regression (2010) (0)
Flood Modeling Dataset 1 (2020) (0)
Out-of-Sample Data (2010) (0)
Analytical Learning (2010) (0)
Test Instances (2010) (0)
Grammar Learning (2010) (0)
OP-CBIO190728 1..9 (2019) (0)
Transfer of Knowledge Across Domains (2010) (0)
Generality And Logic (2010) (0)
Squared Error Loss (2010) (0)
Text Spatialization (2010) (0)
Shattering Coefficient (2010) (0)
Model Space (2010) (0)
Trait (2010) (0)
Genetic Attribute Construction (2010) (0)
Average-Cost Neuro-Dynamic Programming (2010) (0)
Oikolab Weather Dataset (2021) (0)
Rideshare Dataset without Missing Values (2021) (0)
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values) (2020) (0)
Rigorous Non-Disjoint Discretization for Naive Bayes (2023) (0)
M3 Yearly Dataset (2020) (0)
M4 Yearly Dataset (2020) (0)
Proximity Forest: an effective and scalable distance-based classifier for time series (2019) (0)
Mining top-k sequential patterns under leverage (2016) (0)
Melbourne Pedestrian Counts Dataset (2020) (0)
KDD Cup Dataset (without Missing Values) (2020) (0)
Temperature Rain Dataset without Missing Values (2021) (0)
COVID-19 Mobility Dataset (without Missing Values) (2021) (0)
The relative effectiveness of manipulating the superior vertebral segment compared to manipulating the inferior vertebral segment in facet syndrome of the lumbar spine (1998) (0)
Skopus: Mining top-k sequential patterns under leverage (2016) (0)
Recent Progress in the Development of a Debugging Assistant for Computer Programs (1992) (0)
Controlling Familywise Error When Rejecting at Most One Null Hypothesis Each From a Sequence of Sub-Families of Null Hypotheses (2017) (0)
Time Series Regression (2020) (0)
Advances in Knowledge Discovery and Data Mining (2018) (0)
Discovering Associations in High-Dimensional Data (2012) (0)
Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites (2017) (0)
Traffic Weekly Dataset (2020) (0)
Guest Editors' Introduction (2004) (0)
Principles involved in the development of expert systems for data acquisition (1984) (0)
A Bioinformatic Approach to Inter Functional Interactions within Protein Sequences (2009) (0)
ICRP comes up trumps (2006) (0)
Ensemble Learning (1998) (0)
Approximate Dynamic Programming (2011) (0)
Tourism Yearly Dataset (2020) (0)
Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series (2023) (0)
Beijing PM2.5 Dataset (2020) (0)
Assessing Similarity Under Dynamic Time Warping between Time Series that Differ in Length (2023) (0)
Learning probabilistic classifiers under computational resource constraints (2005) (0)
A Classification Framework based on VPRS Boundary Region using Random Forest Classifier (2017) (0)
High school principal perceptions of instructional leadership: Their rankings on the importance of the Marzano et al. 21 leadership responsibilities and the impact of leadership on student achievement (2012) (0)
BIDMC Respiratory Rate Dataset (32 seconds window) (2020) (0)
Early Abandoning and Pruning for Elastic Distances (2021) (0)
Radiotracers in fluorine chemistry: Part XVHalogen exchange and isomerization reactions involving chlorofluoroethanes on fluorinated chromia surfaces labelled with anhydrous hydrogen [18F]-fluoride, hydrogen [36Cl]-chloride or 1,1-di[36Cl]chlorotetrafluoroethane (1991) (0)
Time Series Classification at Scale (2020) (0)
Extremely Fast Hoeffding Adaptive Tree (2022) (0)
Predicting the end-stage of the COVID-19 epidemic in Brazil (2020) (0)
The application of machine learning to the diagnosis of glomerular disease (2006) (0)
S Supervised Descriptive Rule Induction (2016) (0)
Manufacturing's Relationship to Economic Growth in Wichita (2015) (0)
Learning for anytime classification (2006) (0)
Tourism Monthly Dataset (2020) (0)
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting (2022) (0)
An eager splitting strategy for online decision trees in ensembles (2022) (0)
A Data Scientist's Guide to Start-Ups (2014) (0)
TANGLE : an integrated server for protein backbone torsion angle prediction (2009) (0)
Dynamic Dimensionality Selection for Bayesian Classifier Ensembles (2015) (0)
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels (2020) (0)
BIDMC Blood Oxygen Saturation Dataset (32 seconds window) (2020) (0)
Practising practice: Evaluating the effect of a ward-based simulation exercise on students' educational goals in a subsequent out-of-hours placement (2015) (0)
RADIOINDIKATOREN IN DER FLUOR-CHEMIE FLUOR-18-AUSTAUSCH ZWISCHEN FLUORIDEN DER 1. GRUPPE UND TRIFLUORACETYLFLUORID ODER SCHWEFELTETRAFLUORID, EINFLUSS VON FLUORIDEN DER 1. GRUPPE AUF DEN CHLOR-36-AUSTAUSCH ZWISCHEN CHLOR UND SCHWEFELC (1973) (0)

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