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Niall M. Adams
Person information
- affiliation: Imperial College London, UK
- affiliation: University of Bristol, UK
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2020 – today
- 2023
- [j40]Jack Hogan, Niall M. Adams:
On Averaging ROC Curves. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j39]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): 241-253 (2022) - [j38]Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams, Lekha Patel
:
Parameter Estimation of Binned Hawkes Processes. J. Comput. Graph. Stat. 31(4): 990-1000 (2022) - [j37]Leigh Shlomovich, Edward A. K. Cohen, Niall M. Adams:
A parameter estimation method for multivariate binned Hawkes processes. Stat. Comput. 32(6): 98 (2022) - [j36]Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams:
Changepoint detection in non-exchangeable data. Stat. Comput. 32(6): 110 (2022) - [j35]Henrique Hoeltgebaum
, Niall M. Adams, Cristiano Fernandes
:
Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation. IEEE Trans. Cybern. 52(8): 7956-7967 (2022) - 2021
- [j34]Joshua Plasse
, Henrique Hoeltgebaum
, Niall M. Adams:
Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. 35(4): 1287-1316 (2021) - [j33]Joshua Plasse
, Henrique Hoeltgebaum
, Niall M. Adams:
Correction to: Streaming changepoint detection for transition matrices. Data Min. Knowl. Discov. 35(4): 1317 (2021) - [j32]Elizabeth Riddle-Workman, Marina Evangelou, Niall M. Adams:
Multi-type relational clustering for enterprise cyber-security networks. Pattern Recognit. Lett. 149: 172-178 (2021) - [i7]Neil Dhir, Henrique Hoeltgebaum, Niall M. Adams, Mark Briers, Anthony Burke, Paul Jones:
Prospective Artificial Intelligence Approaches for Active Cyber Defence. CoRR abs/2104.09981 (2021) - 2020
- [j31]Marina Evangelou, Niall M. Adams:
An anomaly detection framework for cyber-security data. Comput. Secur. 97: 101941 (2020) - [j30]Maha Bakoben
, Tony Bellotti, Niall M. Adams:
Identification of credit risk based on cluster analysis of account behaviours. J. Oper. Res. Soc. 71(5): 775-783 (2020)
2010 – 2019
- 2019
- [j29]Joshua Plasse
, Niall M. Adams:
Multiple changepoint detection in categorical data streams. Stat. Comput. 29(5): 1109-1125 (2019) - 2018
- [j28]Jordan Noble, Niall M. Adams:
Real-Time Dynamic Network Anomaly Detection. IEEE Intell. Syst. 33(2): 5-18 (2018) - [c49]Scott Ward, Edward A. K. Cohen, Niall M. Adams:
Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas aeruginosa. ACSSC 2018: 1177-1181 - [c48]Elizabeth Riddle-Workman
, Marina Evangelou
, Niall M. Adams:
Adaptive Anomaly Detection on Network Data Streams. ISI 2018: 19-24 - [c47]Jack Hogan, Niall M. Adams:
A Study of Data Fusion for Predicting Novel Activity in Enterprise Cyber-Security. ISI 2018: 37-42 - 2017
- [j27]Dean A. Bodenham, Niall M. Adams:
Continuous monitoring for changepoints in data streams using adaptive estimation. Stat. Comput. 27(5): 1257-1270 (2017) - [c46]Christopher Schon, Niall M. Adams, Marina Evangelou
:
Clustering and monitoring edge behaviour in enterprise network traffic. ISI 2017: 31-36 - [e5]Niall M. Adams, Allan Tucker, David John Weston:
Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings. Lecture Notes in Computer Science 10584, Springer 2017, ISBN 978-3-319-68764-3 [contents] - [i6]Xue Lu, Niall M. Adams, Nikolas Kantas:
On Adaptive Estimation for Dynamic Bernoulli Bandits. CoRR abs/1712.03134 (2017) - 2016
- [j26]Maha Bakoben
, Anthony Bellotti, Niall M. Adams:
Improving clustering performance by incorporating uncertainty. Pattern Recognit. Lett. 77: 28-34 (2016) - [j25]Dean A. Bodenham
, Niall M. Adams:
A comparison of efficient approximations for a weighted sum of chi-squared random variables. Stat. Comput. 26(4): 917-928 (2016) - [c45]Joshua Plasse, Niall M. Adams:
Handling delayed labels in temporally evolving data streams. IEEE BigData 2016: 2416-2424 - [c44]Maha Bakoben
, Niall M. Adams, Anthony Bellotti:
Uncertainty Aware Clustering for Behaviour in Enterprise Networks. ICDM Workshops 2016: 269-272 - [c43]Jordan Noble, Niall M. Adams:
Correlation-Based Streaming Anomaly Detection in Cyber-Security. ICDM Workshops 2016: 311-318 - [c42]Marina Evangelou
, Niall M. Adams:
Predictability of NetFlow data. ISI 2016: 67-72 - [c41]Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard:
Disassortativity of computer networks. ISI 2016: 243-247 - [c40]Mark Whitehouse, Marina Evangelou
, Niall M. Adams:
Activity-based temporal anomaly detection in enterprise-cyber security. ISI 2016: 248-250 - 2015
- [i5]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
Estimating Optimal Active Learning via Model Retraining Improvement. CoRR abs/1502.01664 (2015) - 2014
- [j24]David J. Hand
, Niall M. Adams:
Selection bias in credit scorecard evaluation. J. Oper. Res. Soc. 65(3): 408-415 (2014) - [c39]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: 244-247 - [c38]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: 248-251 - [c37]Dean Adam Bodenham, Niall M. Adams:
Adaptive Change Detection for Relay-Like Behaviour. JISIC 2014: 252-255 - [c36]Niall M. Adams, Daniel J. Lawson:
An Approximate Framework for Flexible Network Flow Screening. JISIC 2014: 256-259 - [i4]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
Targeting Optimal Active Learning via Example Quality. CoRR abs/1407.8042 (2014) - [i3]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
When does Active Learning Work? CoRR abs/1408.1319 (2014) - 2013
- [j23]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): 463-479 (2013) - [c35]Dean Adam Bodenham, Niall M. Adams:
Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation. ICDM Workshops 2013: 311-318 - [c34]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos
:
When Does Active Learning Work? IDA 2013: 174-185 - 2012
- [j22]Nicos G. Pavlidis
, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
Adaptive consumer credit classification. J. Oper. Res. Soc. 63(12): 1645-1654 (2012) - [j21]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): 191-198 (2012) - [j20]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): 2261 (2012) - [j19]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): 139-166 (2012) - [c33]Aidan O'Sullivan, Niall M. Adams, Iead Rezek:
Canonical Correlation Analysis for Detecting Changes in Network Structure. ICDM Workshops 2012: 250-257 - [i2]Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand:
Exponentially Weighted Moving Average Charts for Detecting Concept Drift. CoRR abs/1212.6018 (2012) - 2011
- [j18]Nicos G. Pavlidis
, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
lambda-Perceptron: An adaptive classifier for data streams. Pattern Recognit. 44(1): 78-96 (2011) - [j17]Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams:
Nonparametric Monitoring of Data Streams for Changes in Location and Scale. Technometrics 53(4): 379-389 (2011) - [c32]Wesley Kerr, Paul R. Cohen, Niall M. Adams:
Recognizing players' activities and hidden state. FDG 2011: 84-90 - 2010
- [j16]Nicos G. Pavlidis
, Niall M. Adams, David Nicholson, David J. Hand
:
Prospects for Bandit Solutions in Sensor Management. Comput. J. 53(9): 1370-1383 (2010) - [j15]Christoforos Anagnostopoulos
, Niall M. Adams, David J. Hand
:
Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Comput. J. 53(9): 1401-1414 (2010) - [j14]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
Selective fusion of out-of-sequence measurements. Inf. Fusion 11(2): 183-191 (2010) - [c31]Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos
, David J. Hand
:
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT 2010: 167-176 - [c30]David John Weston, Niall M. Adams, Yoonseong Kim, David J. Hand:
Fault Mining Using Peer Group Analysis. GfKl 2010: 453-461 - [c29]Adam M. Sykulski
, Niall M. Adams, Nicholas R. Jennings
:
On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem. ICMLA 2010: 459-464 - [c28]Niall M. Adams, Paul R. Cohen, Michael R. Berthold:
Changing the Focus of the IDA Symposium. IDA 2010: 1-5 - [e4]Paul R. Cohen, Niall M. Adams, Michael R. Berthold:
Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings. Lecture Notes in Computer Science 6065, Springer 2010, ISBN 978-3-642-13061-8 [contents]
2000 – 2009
- 2009
- [j13]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): 243-261 (2009) - [j12]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): 30-55 (2009) - [c27]Paul R. Cohen, Niall M. Adams:
Intelligent Data Analysis in the 21st Century. IDA 2009: 1-9 - [c26]Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Adams:
Online annotation and prediction for regime switching data streams. SAC 2009: 1501-1505 - [e3]Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut:
Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings. Lecture Notes in Computer Science 5772, Springer 2009, ISBN 978-3-642-03914-0 [contents] - 2008
- [j11]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): 45-62 (2008) - [j10]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): 4521-4532 (2008) - [j9]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): 956-962 (2008) - [c25]Christoforos Anagnostopoulos
, Dimitris K. Tasoulis, David J. Hand
, Niall M. Adams:
Online optimization for variable selection in data streams. ECAI 2008: 132-136 - [c24]Paul R. Cohen, Carole R. Beal, Niall M. Adams:
The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System. ECAI 2008: 663-667 - [c23]Nicos G. Pavlidis, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
Dynamic Multi-Armed Bandit with Covariates. ECAI 2008: 777-778 - [c22]Christoforos Anagnostopoulos
, Niall M. Adams, David J. Hand:
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. SAC 2008: 961-965 - [c21]Christoforos Anagnostopoulos
, Niall M. Adams:
Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms. UKSim 2008: 52-57 - [c20]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks. UKSim 2008: 661-666 - 2007
- [j8]Paul R. Cohen, Niall M. Adams, Brent Heeringa:
Voting experts: An unsupervised algorithm for segmenting sequences. Intell. Data Anal. 11(6): 607-625 (2007) - [j7]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) - [c19]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
:
Should Delayed Measurements Always be Incorporated in Filtering? DSP 2007: 264-267 - [c18]Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Adams:
Visualising the Cluster Structure of Data Streams. IDA 2007: 81-92 - [i1]Niall M. Adams, David J. Hand:
Note on parallel universes. Parallel Universes and Local Patterns 2007 - 2006
- [j6]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) - [c17]Dimitris K. Tasoulis, Niall M. Adams, David J. Hand:
Unsupervised Clustering In Streaming Data. ICDM Workshops 2006: 638-642 - 2004
- [c16]David J. Hand
, Niall M. Adams, Nick A. Heard:
Pattern Discovery Tools for Detecting Cheating in Student Coursework. Local Pattern Detection 2004: 39-52 - 2003
- [c15]Richard J. Bolton, Niall M. Adams:
An iterative hypothesis-testing strategy for pattern discovery. KDD 2003: 49-58 - 2002
- [c14]Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams:
Contentful Mental States for Robot Baby. AAAI/IAAI 2002: 126-131 - [c13]Richard J. Bolton, David J. Hand, Niall M. Adams:
Determining Hit Rate in Pattern Search. Pattern Detection and Discovery 2002: 36-48 - [c12]Paul R. Cohen, Brent Heeringa, Niall M. Adams:
An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes. Pattern Detection and Discovery 2002: 49-62 - [c11]Paul R. Cohen, Brent Heeringa, Niall M. Adams:
Unsupervised Segmentation of Categorical Time Series into Episodes. ICDM 2002: 99-106 - [e2]David J. Hand, Niall M. Adams, Richard J. Bolton:
Pattern Detection and Discovery, ESF Exploratory Workshop, London, UK, September 16-19, 2002, Proceedings. Lecture Notes in Computer Science 2447, Springer 2002, ISBN 3-540-44148-4 [contents] - 2001
- [j5]Niall M. Adams, David J. Hand
, Robert J. Till:
Mining for classes and patterns in behavioural data. J. Oper. Res. Soc. 52(9): 1017-1024 (2001) - [c10]Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal:
Robot Baby 2001. ALT 2001: 32-56 - [c9]Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal:
Robot Baby 2001. Discovery Science 2001: 29 - [c8]Paul R. Cohen, Niall M. Adams:
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. IDA 2001: 198-207 - [c7]Paul R. Cohen, Niall M. Adams, David J. Hand:
The IDA'01 Robot Data Challenge. IDA 2001: 378-382 - [c6]David J. Hand, Niall M. Adams, Mark G. Kelly:
Multiple Classifier Systems Based on Interpretable Linear Classifiers. Multiple Classifier Systems 2001: 136-147 - [e1]Frank Hoffmann, David J. Hand, Niall M. Adams, Douglas H. Fisher, Gabriela Guimarães:
Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings. Lecture Notes in Computer Science 2189, Springer 2001, ISBN 3-540-42581-0 [contents] - 2000
- [j4]Niall M. Adams, David J. Hand
:
An improved measure for comparing diagnostic tests. Comput. Biol. Medicine 30(2): 89-96 (2000) - [j3]Niall M. Adams, David J. Hand
:
Improving the Practice of Classifier Performance Assessment. Neural Comput. 12(2): 305-311 (2000)
1990 – 1999
- 1999
- [j2]Niall M. Adams, David J. Hand:
Comparing classifiers when the misallocation costs are uncertain. Pattern Recognit. 32(7): 1139-1147 (1999) - [c5]Mark G. Kelly, David J. Hand, Niall M. Adams:
Supervised Classification Problems: How to Be Both Judge and Jury. IDA 1999: 235-244 - [c4]Mark G. Kelly, David J. Hand, Niall M. Adams:
The Impact of Changing Populations on Classifier Performance. KDD 1999: 367-371 - 1998
- [c3]Niall M. Adams, David J. Hand, H. G. Li:
A Simulation Study of Indirect Prognostic Classification. COMPSTAT 1998: 149-154 - [c2]Mark G. Kelly, David J. Hand, Niall M. Adams:
Defining the Goals to Optimise Data Mining Performance. KDD 1998: 234-238 - 1997
- [c1]David J. Hand, Keming Yu, Niall M. Adams:
Asessing and Improving Classification Rules. AISTATS 1997: 243-254 - 1996
- [j1]Niall M. Adams, S. P. J. Kirby, P. Harris, D. B. Clegg:
A review of parallel processing for statistical computation. Stat. Comput. 6(1): 37-49 (1996)
Coauthor Index
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