Niall M. Adams

103 papers A* 4A 4B 13C 8Misc 3Journal 48Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Investigating the impact of missing value handling on Boosted trees and Deep learning for Tabular data: A Claim Reserving case study. Trans. Mach. Learn. Res. Alexander Larionov, Niall M. Adams, Kevin N. Webster
2025	J	`jnl`	MMD Two-sample Testing in the Presence of Arbitrarily Missing Data. Trans. Mach. Learn. Res. Yijin Zeng, Niall M. Adams, Dean A. Bodenham
2023	J	`jnl`	On Averaging ROC Curves. Trans. Mach. Learn. Res. Jack Hogan, Niall M. Adams
2022	J	`jnl`	A Relabeling Approach to Handling the Class Imbalance Problem for Logistic Regression. J. Comput. Graph. Stat. Yazhe Li, Niall M. Adams, Tony Bellotti
2022	J	`jnl`	A parameter estimation method for multivariate binned Hawkes processes. Stat. Comput. Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams
2022	J	`jnl`	Changepoint detection in non-exchangeable data. Stat. Comput. Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams
2022	J	`jnl`	Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation. IEEE Trans. Cybern. Henrique Hoeltgebaum, Niall M. Adams, Cristiano Fernandes
2022	J	`jnl`	Parameter Estimation of Binned Hawkes Processes. J. Comput. Graph. Stat. Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams, Lekha Patel
2021	J	`jnl`	Correction to: Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams
2021	J	`jnl`	Multi-type relational clustering for enterprise cyber-security networks. Pattern Recognit. Lett. Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams
2021	J	`jnl`	Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones
2021	J	`jnl`	Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. Joshua Plasse, Henrique Hoeltgebaum, Niall M. Adams
2020	J	`jnl`	An anomaly detection framework for cyber-security data. Comput. Secur. Marina Evangelou, Niall M. Adams
2020	J	`jnl`	Identification of credit risk based on cluster analysis of account behaviours. J. Oper. Res. Soc. Maha Bakoben, Tony Bellotti, Niall M. Adams
2019	J	`jnl`	Multiple changepoint detection in categorical data streams. Stat. Comput. Joshua Plasse, Niall M. Adams
2018	C	`conf`	A Study of Data Fusion for Predicting Novel Activity in Enterprise Cyber-Security. ISI Jack Hogan, Niall M. Adams
2018	C	`conf`	Adaptive Anomaly Detection on Network Data Streams. ISI Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams
2018	Misc	`conf`	Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas aeruginosa. ACSSC Scott Ward, Edward A. K. Cohen, Niall M. Adams
2018	J	`jnl`	Real-Time Dynamic Network Anomaly Detection. IEEE Intell. Syst. Jordan Noble, Niall M. Adams
2017	B	`ed.`	Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings IDA Niall M. Adams, Allan Tucker, David John Weston
2017	C	`conf`	Clustering and monitoring edge behaviour in enterprise network traffic. ISI Christopher Schon, Niall M. Adams, Marina Evangelou
2017	J	`jnl`	Continuous monitoring for changepoints in data streams using adaptive estimation. Stat. Comput. Dean A. Bodenham, Niall M. Adams
2017	J	`jnl`	On Adaptive Estimation for Dynamic Bernoulli Bandits. CoRR Xue Lu, Niall M. Adams, Nikolas Kantas
2016	J	`jnl`	A comparison of efficient approximations for a weighted sum of chi-squared random variables. Stat. Comput. Dean A. Bodenham, Niall M. Adams
2016	C	`conf`	Activity-based temporal anomaly detection in enterprise-cyber security. ISI Mark Whitehouse, Marina Evangelou, Niall M. Adams
2016	—	`conf`	Correlation-Based Streaming Anomaly Detection in Cyber-Security. ICDM Workshops Jordan Noble, Niall M. Adams
2016	C	`conf`	Disassortativity of computer networks. ISI Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard
2016	—	`conf`	Handling delayed labels in temporally evolving data streams. IEEE BigData Joshua Plasse, Niall M. Adams
2016	J	`jnl`	Improving clustering performance by incorporating uncertainty. Pattern Recognit. Lett. Maha Bakoben, Anthony Bellotti, Niall M. Adams
2016	C	`conf`	Predictability of NetFlow data. ISI Marina Evangelou, Niall M. Adams
2016	—	`conf`	Uncertainty Aware Clustering for Behaviour in Enterprise Networks. ICDM Workshops Maha Bakoben, Niall M. Adams, Anthony Bellotti
2015	J	`jnl`	Estimating Optimal Active Learning via Model Retraining Improvement. CoRR Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos
2014	—	`conf`	Adaptive Change Detection for Relay-Like Behaviour. JISIC Dean Adam Bodenham, Niall M. Adams
2014	—	`conf`	An Approximate Framework for Flexible Network Flow Screening. JISIC Niall M. Adams, Daniel J. Lawson
2014	J	`jnl`	Selection bias in credit scorecard evaluation. J. Oper. Res. Soc. David J. Hand, Niall M. Adams
2014	—	`conf`	Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data. JISIC Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams
2014	J	`jnl`	Targeting Optimal Active Learning via Example Quality. CoRR Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos
2014	—	`conf`	Three Statistical Approaches to Sessionizing Network Flow Data. JISIC Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams
2014	J	`jnl`	When does Active Learning Work? CoRR Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos
2013	—	`conf`	Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. ICDM Workshops Dean Adam Bodenham, Niall M. Adams
2013	J	`jnl`	Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown. Comput. Stat. Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
2013	B	`conf`	When Does Active Learning Work? IDA Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos
2012	J	`jnl`	Adaptive consumer credit classification. J. Oper. Res. Soc. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2012	—	`conf`	Canonical Correlation Analysis for Detecting Changes in Network Structure. ICDM Workshops Aidan O'Sullivan, Niall M. Adams, Iead Rezek
2012	J	`jnl`	Erratum to "Exponentially weighted moving average charts for detecting concept drift" [Pattern Recognition Lett. 33(2) (2012) 191-198]. Pattern Recognit. Lett. Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
2012	J	`jnl`	Exponentially Weighted Moving Average Charts for Detecting Concept Drift CoRR Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
2012	J	`jnl`	Exponentially weighted moving average charts for detecting concept drift. Pattern Recognit. Lett. Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand
2012	J	`jnl`	Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand
2011	J	`jnl`	Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
2011	C	`conf`	Recognizing players' activities and hidden state. FDG Wesley Kerr, Paul R. Cohen, Niall M. Adams
2011	J	`jnl`	lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2010	B	`ed.`	Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings IDA Paul R. Cohen, Niall M. Adams, Michael R. Berthold
2010	B	`conf`	Changing the Focus of the IDA Symposium. IDA Niall M. Adams, Paul R. Cohen, Michael R. Berthold
2010	—	`conf`	Fault Mining Using Peer Group Analysis. GfKl David John Weston, Niall M. Adams, Yoonseong Kim, David J. Hand
2010	C	`conf`	On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem. ICMLA Adam M. Sykulski, Niall M. Adams, Nicholas R. Jennings
2010	J	`jnl`	Prospects for Bandit Solutions in Sensor Management. Comput. J. Nicos G. Pavlidis, Niall M. Adams, David Nicholson, David J. Hand
2010	J	`jnl`	Selective fusion of out-of-sequence measurements. Inf. Fusion Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2010	J	`jnl`	Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Comput. J. Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
2010	—	`conf`	Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand
2009	B	`ed.`	Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings IDA Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut
2009	B	`conf`	Intelligent Data Analysis in the 21st Century. IDA Paul R. Cohen, Niall M. Adams
2009	Misc	`conf`	Online annotation and prediction for regime switching data streams. SAC Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams
2009	J	`jnl`	Temporally adaptive estimation of logistic classifiers on data streams. Adv. Data Anal. Classif. Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2009	J	`jnl`	Transaction aggregation as a strategy for credit card fraud detection. Data Min. Knowl. Discov. Christopher Whitrow, David J. Hand, Piotr Juszczak, David John Weston, Niall M. Adams
2008	Misc	`conf`	Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. SAC Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
2008	A	`conf`	Dynamic Multi-Armed Bandit with Covariates. ECAI Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2008	J	`jnl`	Off-the-peg and bespoke classifiers for fraud detection. Comput. Stat. Data Anal. Piotr Juszczak, Niall M. Adams, David J. Hand, Christopher Whitrow, David John Weston
2008	A	`conf`	Online optimization for variable selection in data streams. ECAI Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams
2008	J	`jnl`	Performance criteria for plastic card fraud detection tools. J. Oper. Res. Soc. David J. Hand, Christopher Whitrow, Niall M. Adams, Piotr Juszczak, David John Weston
2008	J	`jnl`	Plastic card fraud detection using peer group analysis. Adv. Data Anal. Classif. David John Weston, David J. Hand, Niall M. Adams, Christopher Whitrow, Piotr Juszczak
2008	—	`conf`	Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms. UKSim Christoforos Anagnostopoulos, Niall M. Adams
2008	—	`conf`	Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. UKSim Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2008	A	`conf`	The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System. ECAI Paul R. Cohen, Carole R. Beal, Niall M. Adams
2007	—	`conf`	Note on parallel universes. Parallel Universes and Local Patterns Niall M. Adams, David J. Hand
2007	J	`jnl`	Quantitative Analysis of Cell Nucleus Organisation. PLoS Comput. Biol. Carol Shiels, Niall M. Adams, Suhail A. Islam, David A. Stephens, Paul S. Freemont
2007	—	`conf`	Should Delayed Measurements Always be Incorporated in Filtering? DSP Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2007	B	`conf`	Visualising the Cluster Structure of Data Streams. IDA Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams
2007	J	`jnl`	Voting experts: An unsupervised algorithm for segmenting sequences. Intell. Data Anal. Paul R. Cohen, Niall M. Adams, Brent Heeringa
2006	J	`jnl`	The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei. PLoS Comput. Biol. Kirk J. McManus, David A. Stephens, Niall M. Adams, Suhail A. Islam, Paul S. Freemont, Michael J. Hendzel
2006	—	`conf`	Unsupervised Clustering In Streaming Data. ICDM Workshops Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
2004	—	`conf`	Pattern Discovery Tools for Detecting Cheating in Student Coursework. Local Pattern Detection David J. Hand, Niall M. Adams, Nick A. Heard
2003	A*	`conf`	An iterative hypothesis-testing strategy for pattern discovery. KDD Richard J. Bolton, Niall M. Adams
2002	—	`conf`	An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes. Pattern Detection and Discovery Paul R. Cohen, Brent Heeringa, Niall M. Adams
2002	—	`conf`	Contentful Mental States for Robot Baby. AAAI/IAAI Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams
2002	—	`conf`	Determining Hit Rate in Pattern Search. Pattern Detection and Discovery Richard J. Bolton, David J. Hand, Niall M. Adams
2002	—	`ed.`	Pattern Detection and Discovery, ESF Exploratory Workshop, London, UK, September 16-19, 2002, Proceedings Pattern Detection and Discovery David J. Hand, Niall M. Adams, Richard J. Bolton
2002	A*	`conf`	Unsupervised Segmentation of Categorical Time Series into Episodes. ICDM Paul R. Cohen, Brent Heeringa, Niall M. Adams
2001	B	`ed.`	Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings IDA Frank Hoffmann, David J. Hand, Niall M. Adams, Douglas H. Fisher, Gabriela Guimarães
2001	B	`conf`	An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. IDA Paul R. Cohen, Niall M. Adams
2001	J	`jnl`	Mining for classes and patterns in behavioural data. J. Oper. Res. Soc. Niall M. Adams, David J. Hand, Robert J. Till
2001	—	`conf`	Multiple Classifier Systems Based on Interpretable Linear Classifiers. Multiple Classifier Systems David J. Hand, Niall M. Adams, Mark G. Kelly
2001	B	`conf`	Robot Baby 2001. ALT Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
2001	B	`conf`	Robot Baby 2001. Discovery Science Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
2001	B	`conf`	The IDA'01 Robot Data Challenge. IDA Paul R. Cohen, Niall M. Adams, David J. Hand
2000	J	`jnl`	An improved measure for comparing diagnostic tests. Comput. Biol. Medicine Niall M. Adams, David J. Hand
2000	J	`jnl`	Improving the Practice of Classifier Performance Assessment. Neural Comput. Niall M. Adams, David J. Hand
1999	J	`jnl`	Comparing classifiers when the misallocation costs are uncertain. Pattern Recognit. Niall M. Adams, David J. Hand
1999	B	`conf`	Supervised Classification Problems: How to Be Both Judge and Jury. IDA Mark G. Kelly, David J. Hand, Niall M. Adams
1999	A*	`conf`	The Impact of Changing Populations on Classifier Performance. KDD Mark G. Kelly, David J. Hand, Niall M. Adams
1998	—	`conf`	A Simulation Study of Indirect Prognostic Classification. COMPSTAT Niall M. Adams, David J. Hand, H. G. Li
1998	A*	`conf`	Defining the Goals to Optimise Data Mining Performance. KDD Mark G. Kelly, David J. Hand, Niall M. Adams
1997	A	`conf`	Asessing and Improving Classification Rules. AISTATS David J. Hand, Keming Yu, Niall M. Adams
1996	J	`jnl`	A review of parallel processing for statistical computation. Stat. Comput. Niall M. Adams, S. P. J. Kirby, P. Harris, D. B. Clegg