Niall M. Adams

According to our database, Niall M. Adams authored at least 93 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

On Averaging ROC Curves.

Jack Hogan, Niall M. Adams

Trans. Mach. Learn. Res., 2023

2022

Parameter Estimation of Binned Hawkes Processes.

Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams, Lekha Patel

J. Comput. Graph. Stat., October, 2022

Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation.

Henrique Hoeltgebaum, Niall M. Adams, Cristiano Fernandes

IEEE Trans. Cybern., 2022

A parameter estimation method for multivariate binned Hawkes processes.

Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams

Stat. Comput., 2022

Changepoint detection in non-exchangeable data.

Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams

Stat. Comput., 2022

A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression.

Yazhe Li, Niall M. Adams, Tony Bellotti

J. Comput. Graph. Stat., 2022

2021

Multi-type relational clustering for enterprise cyber-security networks.

Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams

Pattern Recognit. Lett., 2021

Correction to: Streaming changepoint detection for transition matrices.

Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams

Data Min. Knowl. Discov., 2021

Streaming changepoint detection for transition matrices.

Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams

Data Min. Knowl. Discov., 2021

Prospective Artificial Intelligence Approaches for Active Cyber Defence.

Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones

CoRR, 2021

2020

Identification of credit risk based on cluster analysis of account behaviours.

Maha Bakoben, Tony Bellotti, Niall M. Adams

J. Oper. Res. Soc., 2020

An anomaly detection framework for cyber-security data.

Marina Evangelou, Niall M. Adams

Comput. Secur., 2020

2019

Multiple changepoint detection in categorical data streams.

Joshua Plasse, Niall M. Adams

Stat. Comput., 2019

2018

Real-Time Dynamic Network Anomaly Detection.

Jordan Noble, Niall M. Adams

IEEE Intell. Syst., 2018

Adaptive Anomaly Detection on Network Data Streams.

Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams

Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

A Study of Data Fusion for Predicting Novel Activity in Enterprise Cyber-Security.

Jack Hogan, Niall M. Adams

Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics, 2018

Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas aeruginosa.

Scott Ward, Edward A. K. Cohen, Niall M. Adams

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Continuous monitoring for changepoints in data streams using adaptive estimation.

Dean A. Bodenham, Niall M. Adams

Stat. Comput., 2017

On Adaptive Estimation for Dynamic Bernoulli Bandits.

Xue Lu, Niall M. Adams, Nikolas Kantas

CoRR, 2017

Clustering and monitoring edge behaviour in enterprise network traffic.

Christopher Schon, Niall M. Adams, Marina Evangelou

Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, 2017

2016

A comparison of efficient approximations for a weighted sum of chi-squared random variables.

Dean A. Bodenham, Niall M. Adams

Stat. Comput., 2016

Improving clustering performance by incorporating uncertainty.

Maha Bakoben, Anthony Bellotti, Niall M. Adams

Pattern Recognit. Lett., 2016

Activity-based temporal anomaly detection in enterprise-cyber security.

Mark Whitehouse, Marina Evangelou, Niall M. Adams

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Disassortativity of computer networks.

Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Predictability of NetFlow data.

Marina Evangelou, Niall M. Adams

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Correlation-Based Streaming Anomaly Detection in Cyber-Security.

Jordan Noble, Niall M. Adams

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Uncertainty Aware Clustering for Behaviour in Enterprise Networks.

Maha Bakoben, Niall M. Adams, Anthony Bellotti

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Handling delayed labels in temporally evolving data streams.

Joshua Plasse, Niall M. Adams

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Estimating Optimal Active Learning via Model Retraining Improvement.

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

CoRR, 2015

2014

Selection bias in credit scorecard evaluation.

David J. Hand, Niall M. Adams

J. Oper. Res. Soc., 2014

Targeting Optimal Active Learning via Example Quality.

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

CoRR, 2014

Three Statistical Approaches to Sessionizing Network Flow Data.

Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data.

Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Adaptive Change Detection for Relay-Like Behaviour.

Dean Adam Bodenham, Niall M. Adams

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

An Approximate Framework for Flexible Network Flow Screening.

Niall M. Adams, Daniel J. Lawson

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

2013

Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown.

Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams

Comput. Stat., 2013

When Does Active Learning Work?

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation.

Dean Adam Bodenham, Niall M. Adams

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand

Stat. Anal. Data Min., 2012

Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198].

Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand

Pattern Recognit. Lett., 2012

Exponentially weighted moving average charts for detecting concept drift.

Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand

Pattern Recognit. Lett., 2012

Adaptive consumer credit classification.

Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

J. Oper. Res. Soc., 2012

Canonical Correlation Analysis for Detecting Changes in Network Structure.

Aidan O'Sullivan, Niall M. Adams, Iead Rezek

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Nonparametric Monitoring of Data Streams for Changes in Location and Scale.

Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams

Technometrics, 2011

lambda-Perceptron: An adaptive classifier for data streams.

Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Pattern Recognit., 2011

Recognizing players' activities and hidden state.

Wesley Kerr, Paul R. Cohen, Niall M. Adams

Proceedings of the Foundations of Digital Games, 2011

2010

Selective fusion of out-of-sequence measurements.

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Inf. Fusion, 2010

Prospects for Bandit Solutions in Sensor Management.

Nicos G. Pavlidis, Niall M. Adams, David Nicholson, David J. Hand

Comput. J., 2010

Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks.

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand

Comput. J., 2010

Changing the Focus of the IDA Symposium.

Niall M. Adams, Paul R. Cohen, Michael R. Berthold

Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem.

Adam M. Sykulski, Niall M. Adams, Nicholas R. Jennings

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Fault Mining Using Peer Group Analysis.

David John Weston, Niall M. Adams, Yoonseong Kim, David J. Hand

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring.

Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Transaction aggregation as a strategy for credit card fraud detection.

Christopher Whitrow, David J. Hand, Piotr Juszczak, David John Weston, Niall M. Adams

Data Min. Knowl. Discov., 2009

Temporally adaptive estimation of logistic classifiers on data streams.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Adv. Data Anal. Classif., 2009

Online annotation and prediction for regime switching data streams.

Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Intelligent Data Analysis in the 21st Century.

Paul R. Cohen, Niall M. Adams

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

2008

Performance criteria for plastic card fraud detection tools.

David J. Hand, Christopher Whitrow, Niall M. Adams, Piotr Juszczak, David John Weston

J. Oper. Res. Soc., 2008

Off-the-peg and bespoke classifiers for fraud detection.

Piotr Juszczak, Niall M. Adams, David J. Hand, Christopher Whitrow, David John Weston

Comput. Stat. Data Anal., 2008

Plastic card fraud detection using peer group analysis.

David John Weston, David J. Hand, Niall M. Adams, Christopher Whitrow, Piotr Juszczak

Adv. Data Anal. Classif., 2008

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks.

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms.

Christoforos Anagnostopoulos, Niall M. Adams

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Deciding what to observe next: adaptive variable selection for regression in multivariate data streams.

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Dynamic Multi-Armed Bandit with Covariates.

Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Proceedings of the ECAI 2008, 2008

The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System.

Paul R. Cohen, Carole R. Beal, Niall M. Adams

Proceedings of the ECAI 2008, 2008

Online optimization for variable selection in data streams.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams

Proceedings of the ECAI 2008, 2008

2007

Quantitative Analysis of Cell Nucleus Organisation.

Carol Shiels, Niall M. Adams, Suhail A. Islam, David A. Stephens, Paul S. Freemont

PLoS Comput. Biol., 2007

Voting experts: An unsupervised algorithm for segmenting sequences.

Paul R. Cohen, Niall M. Adams, Brent Heeringa

Intell. Data Anal., 2007

Visualising the Cluster Structure of Data Streams.

Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Should Delayed Measurements Always be Incorporated in Filtering?

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Note on parallel universes.

Niall M. Adams, David J. Hand

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006

The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei.

Kirk J. McManus, David A. Stephens, Niall M. Adams, Suhail A. Islam, Paul S. Freemont, Michael J. Hendzel

PLoS Comput. Biol., 2006

Unsupervised Clustering In Streaming Data.

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2004

Pattern Discovery Tools for Detecting Cheating in Student Coursework.

David J. Hand, Niall M. Adams, Nick A. Heard

Proceedings of the Local Pattern Detection, 2004

2003

An iterative hypothesis-testing strategy for pattern discovery.

Richard J. Bolton, Niall M. Adams

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Unsupervised Segmentation of Categorical Time Series into Episodes.

Paul R. Cohen, Brent Heeringa, Niall M. Adams

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes.

Paul R. Cohen, Brent Heeringa, Niall M. Adams

Proceedings of the Pattern Detection and Discovery, 2002

Determining Hit Rate in Pattern Search.

Richard J. Bolton, David J. Hand, Niall M. Adams

Proceedings of the Pattern Detection and Discovery, 2002

Contentful Mental States for Robot Baby.

Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Mining for classes and patterns in behavioural data.

Niall M. Adams, David J. Hand, Robert J. Till

J. Oper. Res. Soc., 2001

Multiple Classifier Systems Based on Interpretable Linear Classifiers.

David J. Hand, Niall M. Adams, Mark G. Kelly

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

The IDA'01 Robot Data Challenge.

Paul R. Cohen, Niall M. Adams, David J. Hand

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes.

Paul R. Cohen, Niall M. Adams

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Robot Baby 2001.

Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal

Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000

Improving the Practice of Classifier Performance Assessment.

Niall M. Adams, David J. Hand

Neural Comput., 2000

An improved measure for comparing diagnostic tests.

Niall M. Adams, David J. Hand

Comput. Biol. Medicine, 2000

1999

Comparing classifiers when the misallocation costs are uncertain.

Niall M. Adams, David J. Hand

Pattern Recognit., 1999

The Impact of Changing Populations on Classifier Performance.

Mark G. Kelly, David J. Hand, Niall M. Adams

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Supervised Classification Problems: How to Be Both Judge and Jury.

Mark G. Kelly, David J. Hand, Niall M. Adams

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998

Defining the Goals to Optimise Data Mining Performance.

Mark G. Kelly, David J. Hand, Niall M. Adams

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Simulation Study of Indirect Prognostic Classification.

Niall M. Adams, David J. Hand, H. G. Li

Proceedings of the COMPSTAT 1998, 1998

1997

Asessing and Improving Classification Rules.

David J. Hand, Keming Yu, Niall M. Adams

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

A review of parallel processing for statistical computation.

Niall M. Adams, S. P. J. Kirby, P. Harris, D. B. Clegg

Stat. Comput., 1996