James Bailey

James Bailey's AcademicInfluence.com Rankings

James Bailey

Computer Science

#9505

World Rank

#9979

Historical Rank

Information Theory

#35

World Rank

#36

Historical Rank

Data Mining

#228

World Rank

#229

Historical Rank

Machine Learning

#4177

World Rank

#4226

Historical Rank

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Computer Science

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James Bailey'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

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance (2010) (1760)
Information theoretic measures for clusterings comparison: is a correction for chance necessary? (2009) (700)
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality (2018) (548)
Symmetric Cross Entropy for Robust Learning With Noisy Labels (2019) (451)
Improving Adversarial Robustness Requires Revisiting Misclassified Examples (2020) (362)
Dimensionality-Driven Learning with Noisy Labels (2018) (315)
Iterative Learning with Open-set Noisy Labels (2018) (238)
On the Convergence and Robustness of Adversarial Training (2021) (235)
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks (2020) (233)
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems (2019) (219)
Normalized Loss Functions for Deep Learning with Noisy Labels (2020) (195)
Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization (2005) (179)
Mining minimal distinguishing subsequence patterns with gap constraints (2005) (177)
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets (2020) (171)
Identifying At-Risk Students in Massive Open Online Courses (2015) (166)
An event-condition-action language for XML (2002) (163)
Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis (2012) (150)
COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity (2006) (137)
Clean-Label Backdoor Attacks on Video Recognition Models (2020) (136)
Adjusting for Chance Clustering Comparison Measures (2015) (125)
Advances in Knowledge Discovery and Data Mining (2016) (121)
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles (2020) (120)
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections (2016) (110)
Black-box Adversarial Attacks on Video Recognition Models (2019) (104)
Fast Algorithms for Mining Emerging Patterns (2002) (102)
Effective global approaches for mutual information based feature selection (2014) (101)
Accelerating Online CP Decompositions for Higher Order Tensors (2016) (95)
Contrast Data Mining: Concepts, Algorithms, and Applications (2012) (93)
Document clustering of scientific texts using citation contexts (2010) (91)
A fast algorithm for computing hypergraph transversals and its application in mining emerging patterns (2003) (87)
Can high-order dependencies improve mutual information based feature selection? (2016) (85)
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance (2014) (84)
Generation of Alternative Clusterings Using the CAMI Approach (2010) (81)
Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams (2006) (75)
Discovering outlying aspects in large datasets (2016) (63)
SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors (2016) (59)
Mining outlying aspects on numeric data (2015) (59)
Mining Minimal Contrast Subgraph Patterns (2006) (58)
Unlearnable Examples: Making Personal Data Unexploitable (2021) (57)
Discovering correlated spatio-temporal changes in evolving graphs (2008) (56)
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality (2017) (56)
A binary decision diagram based approach for mining frequent subsequences (2010) (54)
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases (2013) (52)
A hierarchical information theoretic technique for the discovery of non linear alternative clusterings (2010) (52)
Active Databases and Agent Systems - A Comparison (1995) (48)
A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings (2010) (47)
Decidability and undecidability results for the termination problem of active database rules (1998) (47)
Mining multidimensional contextual outliers from categorical relational data (2013) (46)
Extracting significant places from mobile user GPS trajectories: a bearing change based approach (2012) (41)
Ground truth bias in external cluster validity indices (2016) (41)
Efficient mining of platoon patterns in trajectory databases (2015) (40)
Traffic forecasting in complex urban networks: Leveraging big data and machine learning (2015) (40)
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas (2017) (36)
The importance and meaning of session behaviour in a MOOC (2020) (35)
Automatically recognizing places of interest from unreliable GPS data using spatio-temporal density estimation and line intersections (2015) (34)
Robust Domain Generalisation by Enforcing Distribution Invariance (2016) (33)
Extending Information-Theoretic Validity Indices for Fuzzy Clustering (2017) (33)
Time Series Forecasting Using Distribution Enhanced Linear Regression (2013) (33)
Abstract Interpretation of Active Rules and its Use in Termination Analysis (1997) (32)
An Investigation into Prediction + Optimisation for the Knapsack Problem (2019) (32)
Classification Using Constrained Emerging Patterns (2003) (32)
Developing Effective Automated Feedback in Temporal Bone Surgery Simulation (2015) (32)
Classifying Attention Types with Thermal Imaging and Eye Tracking (2019) (31)
New Frontiers in Applied Data Mining (2011) (31)
Mining distribution change in stock order streams (2010) (30)
Discrimination aware classification for imbalanced datasets (2013) (30)
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data (2008) (28)
Improving MeSH classification of biomedical articles using citation contexts (2011) (27)
On compressing weighted time-evolving graphs (2012) (27)
Discovery of Emerging Patterns and Their Use in Classification (2003) (26)
Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics (2008) (26)
Mining interactions in immersive learning environments for real-time student feedback (2013) (25)
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions (2019) (25)
Dynamic Programming for Predict+Optimise (2020) (24)
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View (2014) (23)
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces (2013) (22)
A Novel Scalable Multi-class ROC for Effective Visualization and Computation (2010) (21)
Online cluster validity indices for performance monitoring of streaming data clustering (2018) (21)
Detection of Deception in the Mafia Party Game (2015) (21)
A framework to uncover multiple alternative clusterings (2013) (21)
Measuring dependency via intrinsic dimensionality (2016) (20)
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs (2019) (20)
MurTree: Optimal Classification Trees via Dynamic Programming and Search (2020) (20)
SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments (2016) (20)
Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks (2014) (20)
A time-dependent enhanced support vector machine for time series regression (2013) (20)
Static Analysis of XSLT Programs (2004) (19)
Efficient incremental mining of contrast patterns in changing data (2010) (19)
SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments (2018) (19)
A Reliable Computational Model For BDI Agents (2003) (19)
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness (2020) (18)
A fast indexing approach for protein structure comparison (2010) (18)
A Query Based Approach for Mining Evolving Graphs (2009) (18)
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking (2015) (18)
Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery (2017) (17)
Improving the Quality of Explanations with Local Embedding Perturbations (2019) (17)
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels (2012) (17)
On the decidability of the termination problem of active database systems (2004) (17)
Pattern-based real-time feedback for a temporal bone simulator (2013) (17)
Constructive Real Time Feedback for a Temporal Bone Simulator (2013) (17)
Training robust models using Random Projection (2016) (16)
Online CP Decomposition for Sparse Tensors (2018) (16)
Generating multiple alternative clusterings via globally optimal subspaces (2014) (16)
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence (2021) (16)
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach (2017) (16)
Feature Weighted SVMs Using Receiver Operating Characteristics (2009) (15)
Comments on supervised feature selection by clustering using conditional mutual information-based distances (2013) (15)
Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis (2010) (15)
Trajectory inference for mobile devices using connected cell towers (2015) (15)
Unbiased Multivariate Correlation Analysis (2017) (15)
R1STM: One-class Support Tensor Machine with Randomised Kernel (2016) (14)
A voting approach to identify a small number of highly predictive genes using multiple classifiers (2009) (14)
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets? (2007) (14)
Clustering Similarity Comparison Using Density Profiles (2006) (14)
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation (2013) (13)
An Efficient Technique for Mining Approximately Frequent Substring Patterns (2007) (13)
Lagrangian Constrained Clustering (2016) (13)
Transaction oriented computational models for multi-agent systems (2001) (13)
Supporting skill acquisition in cochlear implant surgery through virtual reality simulation (2017) (13)
Provision of automated step-by-step procedural guidance in virtual reality surgery simulation (2016) (13)
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space (2021) (13)
A time decoupling approach for studying forum dynamics (2012) (13)
A Framework to Adjust Dependency Measure Estimates for Chance (2015) (12)
Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report (2019) (12)
Prediction of students' assessment readiness in online learning environments: the sequence matters (2020) (12)
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality (2018) (12)
A Declarative Approach to Constrained Community Detection (2017) (12)
Visual Assessment of Clustering Tendency for Incomplete Data (2016) (12)
Mining influential attributes that capture class and group contrast behaviour (2008) (12)
Generalized information theoretic cluster validity indices for soft clusterings (2014) (12)
A context-aware do-not-disturb service for mobile devices (2014) (11)
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? (2018) (11)
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs (2006) (11)
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile? (2009) (11)
Lagrangian Constrained Community Detection (2018) (10)
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries (2012) (10)
MOOCs Meet Measurement Theory: A Topic-Modelling Approach (2015) (10)
A Framework for Goal-Based Semantic Compensation in Agent Systems (2009) (10)
Efficient Matching of Substrings in Uncertain Sequences (2014) (10)
The randomized information coefficient: assessing dependencies in noisy data (2018) (10)
Efficient discovery of contrast subspaces for object explanation and characterization (2016) (10)
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training (2017) (10)
Incremental View Maintenance By Base Relation Tagging in Distributed Databases (1998) (10)
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data (2018) (9)
The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training (2019) (9)
Mining Contrast Subspaces (2014) (9)
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences (2020) (9)
Online Cluster Validity Indices for Streaming Data (2018) (9)
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs (2012) (9)
Simulation for Training Cochlear Implant Electrode Insertion (2017) (9)
Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear (2018) (9)
Presentation of automated procedural guidance in surgical simulation: results of two randomised controlled trials (2018) (9)
Structural Issues in Active Rule Systems (1997) (8)
Invariant backpropagation: how to train a transformation-invariant neural network (2015) (8)
Region-Specific Automated Feedback in Temporal Bone Surgery Simulation (2015) (8)
Exploiting patterns to explain individual predictions (2019) (8)
Mining, Ranking, and Using Acronym Patterns (2008) (8)
How private can i be among public users? (2015) (8)
CodeX: an approach for debugging XSLT transformations (2003) (8)
Is this you?: identifying a mobile user using only diagnostic features (2014) (8)
A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training (2014) (8)
Are you with me? Measurement of Learners’ Video-Watching Attention with Eye Tracking (2021) (8)
Mining Generalised Emerging Patterns (2006) (7)
ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm (2004) (7)
ciForager: Incrementally discovering regions of correlated change in evolving graphs (2012) (7)
Managing Semantic Compensation in a Multi-agent System (2004) (7)
Providing Effective Real-Time Feedback in Simulation-Based Surgical Training (2017) (7)
XSLTGen: A System for Automatically Generating XML Transformations Via Semantic Mappings (2004) (7)
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs (2009) (7)
Privacy- and Context-aware Release of Trajectory Data (2020) (7)
Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book (2011) (7)
Optimization of XML Transformations Using Template Specialization (2004) (7)
Automated Segmentation of Surgical Motion for Performance Analysis and Feedback (2015) (6)
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs (2012) (6)
Enhancing the B+-tree by dynamic node popularity caching (2010) (6)
Image Constrained Blockmodelling: A Constraint Programming Approach (2018) (6)
Measures for ranking cell trackers without manual validation (2013) (6)
Generalized Modularity for Community Detection (2015) (6)
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops (2012) (5)
A Framework for Integrating XML Transformations (2006) (5)
Clustering and visualization of fuzzy communities in social networks (2013) (5)
A Logging-Based Approach for Building More Robust Multi-agent Systems (2006) (5)
Issues in Active Databases (1995) (5)
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking (2021) (5)
Structure-Aware Distance Measures for Comparing Clusterings in Graphs (2014) (5)
SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms (2019) (4)
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums (2016) (4)
SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning (2017) (4)
Decidability of First-Order Logic Queries over Views (1999) (4)
RegHunter: Using Graph partitioning to discover regions of correlated spatio-temporal change in evolving graphsIntelligent Data Analysis. (2008) (4)
Advances in knowledge discovery and data mining : 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012 : proceedings (2012) (4)
AI 2003: Advances in Artificial Intelligence (2003) (4)
Struggle town? Developing profiles of student confusion in simulation-based learning environments (2018) (4)
SynthNet: Learning to Synthesize Music End-to-End (2019) (4)
Semi-supervised Blockmodelling with Pairwise Guidance (2018) (4)
Ranking cell tracking systems without manual validation (2015) (4)
Advances in Knowledge Discovery and Data Mining (2016) (4)
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs (2016) (4)
Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge (2012) (4)
Distribution Based Data Filtering for Financial Time Series Forecasting (2011) (4)
Moments of Confusion in Simulation-Based Learning Environments (2020) (3)
Finding Influentials in Twitter: A Temporal Influence Ranking Model (2017) (3)
Challenges of Differentially Private Release of Data Under an Open-world Assumption (2017) (3)
Proceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 9652 (2016) (3)
Logical queries over views: Decidability and expressiveness (2008) (3)
FILTA: Better View Discovery from Collections of Clusterings via Filtering (2014) (3)
g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines (2008) (3)
An effective and versatile distance measure for spatiotemporal trajectories (2019) (3)
Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II (2012) (3)
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs (2014) (3)
Data mining interactions in a 3D immersive environment for real-time feedback during simulated surgery (2012) (3)
Building more robust multi-agent systems using a log-based approach (2009) (3)
Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration (2014) (2)
Characterising Students' Writing Processes Using Temporal Keystroke Analysis (2019) (2)
Improved Feature Transformations for Classification Using Density Estimation (2014) (2)
Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms (2019) (2)
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis (2019) (2)
Using voice note-taking to promote learners' conceptual understanding (2020) (2)
An Automated Matrix Profile for Mining Consecutive Repeats in Time Series (2018) (2)
Dual Head Adversarial Training (2021) (2)
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize (2020) (2)
Neural Architecture Search via Combinatorial Multi-Armed Bandit (2021) (2)
Classifying proteins using gapped Markov feature pairs (2010) (2)
Multiple Clustering Views via Constrained Projections (2012) (2)
Extracting Real-time Feedback with Neural Networks for Simulation-based Learning (2017) (2)
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search (2021) (2)
A Bayesian Classifier for Learning from Tensorial Data (2013) (1)
Enriched spatial comparison of clusterings through discovery of deviating subspaces (2013) (1)
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment (2020) (1)
Do experts practice what they profess? (2018) (1)
Using a Traffic Light System to Provide Feedback to IS Masters Students (2017) (1)
Mining Emerging Patterns Using Tree Structures or Tree Based Searches (2013) (1)
Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data (2015) (1)
In Press) Discovering outlying aspects in large datasets (2016) (1)
Real Time Autonomous Point of Interest Mining through Ambient Smartphone Sensing (2016) (1)
Clustering of Scientific Texts Using Citation Contexts (2009) (0)
Feedback Techniques in Computer-Based Simulation Training: A Survey (2017) (0)
Standardized mutual information for clustering comparisons: Why Normalization Should Not Be The Standard (2014) (0)
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions (2021) (0)
Skill Acquisition in Cochlear Implant Surgery through Virtual Realty Simulation (2017) (0)
Clustering Aided Support Vector Machines (2017) (0)
Elliptical summary randomisation for sensor-based human activity recognition (2016) (0)
Result for “ A voting approach to identify small number of highly predictive genes based on multiple classifiers ” (2008) (0)
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking (2017) (0)
Prediction + optimization for the knapsack problem (2018) (0)
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery (2020) (0)
Optimization of XSLT by Compact Specialization and Combination (2005) (0)
A Fast and Accurate Index Structure for Spatiotemporal Trajectories (2017) (0)
CP Decomposition for Sparse Tensors (2018) (0)
Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams (2013) (0)
Proceedings of the 15th international conference on New Frontiers in Applied Data Mining (2011) (0)
PC chairs’ preface (2016) (0)
Data science in Asia (for PAKDD 2016) (2016) (0)
GAVIN (2021) (0)
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs (2016) (0)
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity (2020) (0)
Semi-Supervised Louvain : Fast and Scalable Community Detection Under Semi-Supervision in Large Networks (2018) (0)
Exploring the benefit of contextual information for boosting TREC Genomic IR performance (2008) (0)
A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series (2021) (0)
Merging Dynamic Functionality: Integration of XML Transformations (2007) (0)
Mining Emerging Patterns for Activity Recognition (2016) (0)
Synthnet: Learning synthesizers end-to-end (2018) (0)
Evaluating surgical performance in real time using data mining (2013) (0)
Developing Decision-Making Skills Using Immersive VR (2013) (0)
Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments (2019) (0)

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What Schools Are Affiliated With James Bailey?

James Bailey is affiliated with the following schools:

University of Melbourne

James Bailey's Academic­Influence.com Rankings

Why Is James Bailey Influential?

James Bailey's Published Works

Published Works

What Schools Are Affiliated With James Bailey?

James Bailey's AcademicInfluence.com Rankings