Niall M. Adams

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 28

Top Topics

Anomaly Detection

Transition Matrices

Top Venues

Publications

Jack Hogan, Niall M. Adams
On Averaging ROC Curves. Trans. Mach. Learn. Res. 2023 (2023)
Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams, Lekha Patel
Parameter Estimation of Binned Hawkes Processes. J. Comput. Graph. Stat. 31 (4) (2022)
Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams
Changepoint detection in non-exchangeable data. Stat. Comput. 32 (6) (2022)
Yazhe Li, Niall M. Adams, Tony Bellotti
A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression. J. Comput. Graph. Stat. 31 (1) (2022)
Henrique Hoeltgebaum, Niall M. Adams, Cristiano Fernandes
Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation. IEEE Trans. Cybern. 52 (8) (2022)
Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams
A parameter estimation method for multivariate binned Hawkes processes. Stat. Comput. 32 (6) (2022)
Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams
Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. 35 (4) (2021)
Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams
Multi-type relational clustering for enterprise cyber-security networks. Pattern Recognit. Lett. 149 (2021)
Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams
Correction to: Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. 35 (4) (2021)
Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones
Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR (2021)
Marina Evangelou, Niall M. Adams
An anomaly detection framework for cyber-security data. Comput. Secur. 97 (2020)
Maha Bakoben, Tony Bellotti, Niall M. Adams
Identification of credit risk based on cluster analysis of account behaviours. J. Oper. Res. Soc. 71 (5) (2020)
Joshua Plasse, Niall M. Adams
Multiple changepoint detection in categorical data streams. Stat. Comput. 29 (5) (2019)
Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams
Adaptive Anomaly Detection on Network Data Streams. ISI (2018)
Jack Hogan, Niall M. Adams
A Study of Data Fusion for Predicting Novel Activity in Enterprise Cyber-Security. ISI (2018)
Jordan Noble, Niall M. Adams
Real-Time Dynamic Network Anomaly Detection. IEEE Intell. Syst. 33 (2) (2018)
Christopher Schon, Niall M. Adams, Marina Evangelou
Clustering and monitoring edge behaviour in enterprise network traffic. ISI (2017)
Dean A. Bodenham, Niall M. Adams
Continuous monitoring for changepoints in data streams using adaptive estimation. Stat. Comput. 27 (5) (2017)
Xue Lu, Niall M. Adams, Nikolas Kantas
On Adaptive Estimation for Dynamic Bernoulli Bandits. CoRR (2017)
Mark Whitehouse, Marina Evangelou, Niall M. Adams
Activity-based temporal anomaly detection in enterprise-cyber security. ISI (2016)
Dean A. Bodenham, Niall M. Adams
A comparison of efficient approximations for a weighted sum of chi-squared random variables. Stat. Comput. 26 (4) (2016)
Joshua Plasse, Niall M. Adams
Handling delayed labels in temporally evolving data streams. IEEE BigData (2016)
Marina Evangelou, Niall M. Adams
Predictability of NetFlow data. ISI (2016)
Maha Bakoben, Niall M. Adams, Anthony Bellotti
Uncertainty Aware Clustering for Behaviour in Enterprise Networks. ICDM Workshops (2016)
Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard
Disassortativity of computer networks. ISI (2016)
Maha Bakoben, Anthony Bellotti, Niall M. Adams
Improving clustering performance by incorporating uncertainty. Pattern Recognit. Lett. 77 (2016)
Jordan Noble, Niall M. Adams
Correlation-Based Streaming Anomaly Detection in Cyber-Security. ICDM Workshops (2016)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
Estimating Optimal Active Learning via Model Retraining Improvement. CoRR (2015)
Dean Adam Bodenham, Niall M. Adams
Adaptive Change Detection for Relay-Like Behaviour. JISIC (2014)
Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams
Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data. JISIC (2014)
David J. Hand, Niall M. Adams
Selection bias in credit scorecard evaluation. J. Oper. Res. Soc. 65 (3) (2014)
Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams
Three Statistical Approaches to Sessionizing Network Flow Data. JISIC (2014)
Niall M. Adams, Daniel J. Lawson
An Approximate Framework for Flexible Network Flow Screening. JISIC (2014)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
Targeting Optimal Active Learning via Example Quality. CoRR (2014)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
When does Active Learning Work? CoRR (2014)
Dean Adam Bodenham, Niall M. Adams
Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. ICDM Workshops (2013)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown. Comput. Stat. 28 (2) (2013)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
When Does Active Learning Work? IDA (2013)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. 5 (2) (2012)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Adaptive consumer credit classification. J. Oper. Res. Soc. 63 (12) (2012)
Aidan O'Sullivan, Niall M. Adams, Iead Rezek
Canonical Correlation Analysis for Detecting Changes in Network Structure. ICDM Workshops (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Exponentially weighted moving average charts for detecting concept drift. Pattern Recognit. Lett. 33 (2) (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Exponentially Weighted Moving Average Charts for Detecting Concept Drift CoRR (2012)
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198]. Pattern Recognit. Lett. 33 (16) (2012)
Wesley Kerr, Paul R. Cohen, Niall M. Adams
Recognizing players' activities and hidden state. FDG (2011)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. 44 (1) (2011)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics 53 (4) (2011)
David John Weston, Niall M. Adams, Yoonseong Kim, David J. Hand
Fault Mining Using Peer Group Analysis. GfKl (2010)
Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT (2010)
Adam M. Sykulski, Niall M. Adams, Nicholas R. Jennings
On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem. ICMLA (2010)
Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Comput. J. 53 (9) (2010)
Nicos G. Pavlidis, Niall M. Adams, David Nicholson, David J. Hand
Prospects for Bandit Solutions in Sensor Management. Comput. J. 53 (9) (2010)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Selective fusion of out-of-sequence measurements. Inf. Fusion 11 (2) (2010)
Niall M. Adams, Paul R. Cohen, Michael R. Berthold
Changing the Focus of the IDA Symposium. IDA (2010)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Temporally adaptive estimation of logistic classifiers on data streams. Adv. Data Anal. Classif. 3 (3) (2009)
Paul R. Cohen, Niall M. Adams
Intelligent Data Analysis in the 21st Century. IDA (2009)
Christopher Whitrow, David J. Hand, Piotr Juszczak, David John Weston, Niall M. Adams
Transaction aggregation as a strategy for credit card fraud detection. Data Min. Knowl. Discov. 18 (1) (2009)
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
Online annotation and prediction for regime switching data streams. SAC (2009)
David J. Hand, Christopher Whitrow, Niall M. Adams, Piotr Juszczak, David John Weston
Performance criteria for plastic card fraud detection tools. J. Oper. Res. Soc. 59 (7) (2008)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Dynamic Multi-Armed Bandit with Covariates. ECAI (2008)
Piotr Juszczak, Niall M. Adams, David J. Hand, Christopher Whitrow, David John Weston
Off-the-peg and bespoke classifiers for fraud detection. Comput. Stat. Data Anal. 52 (9) (2008)
David John Weston, David J. Hand, Niall M. Adams, Christopher Whitrow, Piotr Juszczak
Plastic card fraud detection using peer group analysis. Adv. Data Anal. Classif. 2 (1) (2008)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. UKSim (2008)
Christoforos Anagnostopoulos, Niall M. Adams
Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms. UKSim (2008)
Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. SAC (2008)
Paul R. Cohen, Carole R. Beal, Niall M. Adams
The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System. ECAI (2008)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams
Online optimization for variable selection in data streams. ECAI (2008)
Carol Shiels, Niall M. Adams, Suhail A. Islam, David A. Stephens, Paul S. Freemont
Quantitative Analysis of Cell Nucleus Organisation. PLoS Comput. Biol. 3 (7) (2007)
Niall M. Adams, David J. Hand
Note on parallel universes. Parallel Universes and Local Patterns (2007)
Paul R. Cohen, Niall M. Adams, Brent Heeringa
Voting experts: An unsupervised algorithm for segmenting sequences. Intell. Data Anal. 11 (6) (2007)
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams
Visualising the Cluster Structure of Data Streams. IDA (2007)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Should Delayed Measurements Always be Incorporated in Filtering? DSP (2007)
Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Unsupervised Clustering In Streaming Data. ICDM Workshops (2006)
Kirk J. McManus, David A. Stephens, Niall M. Adams, Suhail A. Islam, Paul S. Freemont, Michael J. Hendzel
The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei. PLoS Comput. Biol. 2 (10) (2006)
David J. Hand, Niall M. Adams, Nick A. Heard
Pattern Discovery Tools for Detecting Cheating in Student Coursework. Local Pattern Detection (2004)
Richard J. Bolton, Niall M. Adams
An iterative hypothesis-testing strategy for pattern discovery. KDD (2003)
Paul R. Cohen, Brent Heeringa, Niall M. Adams
Unsupervised Segmentation of Categorical Time Series into Episodes. ICDM (2002)
Richard J. Bolton, David J. Hand, Niall M. Adams
Determining Hit Rate in Pattern Search. Pattern Detection and Discovery (2002)
Paul R. Cohen, Brent Heeringa, Niall M. Adams
An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes. Pattern Detection and Discovery (2002)
Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams
Contentful Mental States for Robot Baby. AAAI/IAAI (2002)
Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
Robot Baby 2001. ALT (2001)
Paul R. Cohen, Niall M. Adams, David J. Hand
The IDA'01 Robot Data Challenge. IDA (2001)
Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
Robot Baby 2001. Discovery Science (2001)
Paul R. Cohen, Niall M. Adams
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. IDA (2001)
Niall M. Adams, David J. Hand, Robert J. Till
Mining for classes and patterns in behavioural data. J. Oper. Res. Soc. 52 (9) (2001)
David J. Hand, Niall M. Adams, Mark G. Kelly
Multiple Classifier Systems Based on Interpretable Linear Classifiers. Multiple Classifier Systems (2001)
Niall M. Adams, David J. Hand
Improving the Practice of Classifier Performance Assessment. Neural Comput. 12 (2) (2000)
Niall M. Adams, David J. Hand
An improved measure for comparing diagnostic tests. Comput. Biol. Medicine 30 (2) (2000)
Niall M. Adams, David J. Hand
Comparing classifiers when the misallocation costs are uncertain. Pattern Recognit. 32 (7) (1999)
Mark G. Kelly, David J. Hand, Niall M. Adams
Supervised Classification Problems: How to Be Both Judge and Jury. IDA (1999)
Mark G. Kelly, David J. Hand, Niall M. Adams
The Impact of Changing Populations on Classifier Performance. KDD (1999)
Mark G. Kelly, David J. Hand, Niall M. Adams
Defining the Goals to Optimise Data Mining Performance. KDD (1998)
Niall M. Adams, David J. Hand, H. G. Li
A Simulation Study of Indirect Prognostic Classification. COMPSTAT (1998)
David J. Hand, Keming Yu, Niall M. Adams
Asessing and Improving Classification Rules. AISTATS (1997)
Niall M. Adams, S. P. J. Kirby, P. Harris, D. B. Clegg
A review of parallel processing for statistical computation. Stat. Comput. 6 (1) (1996)