N. Adams

发表

Robot Baby 2001

Paul R. Cohen, Tim Oates, Niall M. Adams, 2001, Discovery Science.

A probabilistic nearest neighbour method for statistical pattern recognition

C. Holmes, N. Adams, 2002 .

Transaction aggregation as a strategy for credit card fraud detection

Niall M. Adams, David J. Hand, Piotr Juszczak, 2009, Data Mining and Knowledge Discovery.

Behavioural finance as a multi-instance learning problem

D. Hand, P. Juszczak, N. Adams, 2007 .

Nonparametric Monitoring of Data Streams for Changes in Location and Scale

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2011, Technometrics.

Defining attributes for scorecard construction in credit scoring

Niall M. Adams, David J. Hand, D. Hand, 2000 .

Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture.

Richard A. Russell, Niall M Adams, David A. Stephens, 2009, Biophysical journal.

l-Perceptron : An adaptive classifier for data streams

D. K. Tasoulis, D. Hand, N. Pavlidis, 2010 .

Perspectives on Data Mining

N. Adams, 2010 .

The role of statistics in data-centric engineering

Liam J. Butler, Mohammed Z. E. B. Elshafie, M. Girolami, 2018 .

Bayesian partition modelling

D. Hand, D. Denison, C. Holmes, 2002 .

Identification of credit risk based on cluster analysis of account behaviours

Niall M. Adams, Tony Bellotti, Maha Bakoben, 2017, J. Oper. Res. Soc..

Likelihood inference in nearest‐neighbour classification models

Niall M. Adams, C. Holmes, N. Adams, 2003 .

Novel estrogen receptor discovered.

David A. Stephens, S. Islam, N. Adams, 1996, Environmental health perspectives.

Devising a fairer method for adjusting target scores in interrupted one-day international cricket

N. Adams, E. Cohen, John Hogan, 2017 .

Measuring classification performance : the hmeasure package

N. Adams, N. M. Adams, 2012 .

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

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII

Jean-François Boulicaut, Céline Robardet, Niall M. Adams, 2009 .

Scientific data mining: a practical perspective Chandrika Kamath, SIAM, 2009. No. of pages: xviii +286. Price:/SIAM Member Price: $49.70. ISBN: 978-0-898716-75-7

Niall M. Adams, N. Adams, 2011 .

Recognizing players' activities and hidden state

Paul R. Cohen, Niall M. Adams, Wesley Kerr, 2011, FDG.

Data Science for Cyber-Security

Niall M. Adams, Nicholas A. Heard, Patrick Rubin-Delanchy, 2018 .

Statistical Data Science

Niall M. Adams, E. A. K. Cohen, N. Adams, 2018 .

Dataset Shift in Machine Learning

Niall M. Adams, N. Adams, 2010 .

Dynamic Multi-Armed Bandit with Covariates

Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, 2008, European Conference on Artificial Intelligence.

Handbook of Parallel Computing and Statistics by E. J. Kontoghiorghes (ed.)

Niall M. Adams, N. Adams, 2006 .

The Transcriptional Regulator CBP Has Defined Spatial Associations within Interphase Nuclei

Niall M. Adams, Paul S. Freemont, David A. Stephens, 2006, PLoS Comput. Biol..

Analysis of Spatial Point Patterns in Nuclear Biology

Richard A. Russell, David A. Stephens, N. Adams, 2012, PloS one.

Semi-supervised Learning

Niall M. Adams, N. Adams, 2009 .

Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery

Niall M. Adams, David J. Hand, Richard J. Bolton, 2002 .

Quantitative Analysis of Cell Nucleus Organisation

David A. Stephens, S. Islam, N. Adams, 2007, PLoS Comput. Biol..

Supervised classi#cation with structured class de#nitions

D. Hand, N. Adams, Hua Gui Li, 2001 .

Multiple changepoint detection in categorical data streams

N. Adams, Joshua Plasse, 2019, Statistics and Computing.

Continuous monitoring for changepoints in data streams using adaptive estimation

N. Adams, D. Bodenham, 2016, Statistics and Computing.

School English Language Learners Reading Proficiency and Mathematics Problem Solving by High

P. Cohen, C. Beal, N. Adams, 2009 .

IARP/EURON Workshop on Robotics for Risky Interventions and Environmental Surveillance (RISE), Benicassim, Spain, January 2008

David J. Hand, Erol Gelenbe, Niall M. Adams, 2008 .

Improving clustering performance by incorporating uncertainty

Niall M. Adams, Maha Bakoben, Anthony Bellotti, 2016, Pattern Recognit. Lett..

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

Yazhe Li, N. Adams, T. Bellotti, 2021, J. Comput. Graph. Stat..

Clustering and monitoring edge behaviour in enterprise network traffic

Niall M. Adams, Marina Evangelou, Christopher Schon, 2017, 2017 IEEE International Conference on Intelligence and Security Informatics (ISI).

A general decision framework for structuring computation using Data Directional Scaling to process massive similarity matrices

Daniel John Lawson, Niall M Adams, N. Adams, 2014, 1403.4054.

Selective fusion of out-of-sequence measurements

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2010, Inf. Fusion.

Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Contentful mental states for robot baby

Paul R. Cohen, Tim Oates, Niall M. Adams, 2002, AAAI/IAAI.

Robot Baby 2001

Paul R. Cohen, Tim Oates, Niall M. Adams, 2001, Discovery Science.

The impact of changing populations on classifier performance

Niall M. Adams, David J. Hand, Mark G. Kelly, 1999, KDD '99.

Methods and Models in Statistics: In Honour of Professor John Nelder, FRS

D. Hand, M. Crowder, N. Adams, 2004 .

New quantitative approaches reveal the spatial preference of nuclear compartments in mammalian fibroblasts

Richard A. Russell, David A. Stephens, N. Adams, 2015, Journal of The Royal Society Interface.

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

Nicholas R. Jennings, Niall M. Adams, Adam M. Sykulski, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Off-the-peg and bespoke classifiers for fraud detection

Niall M. Adams, David J. Hand, Piotr Juszczak, 2008, Comput. Stat. Data Anal..

An iterative hypothesis-testing strategy for pattern discovery

Niall M. Adams, Richard J. Bolton, R. J. Bolton, 2003, KDD '03.

Mining for classes and patterns in behavioural data

Niall M. Adams, David J. Hand, Robert Till, 2001, J. Oper. Res. Soc..

Methodology for Quantitative Analysis of 3-D Nuclear Architecture

Richard A. Russell, Niall M. Adams, Paul S. Freemont, 2011 .

Novel estrogen receptor discovered.

Niall M Adams, David A. Stephens, Paul S Freemont, 1996, Environmental health perspectives.

Exploitation by Exploration: 2-player Repeated 2×2 Games with Unknown Rewards

Nicholas R. Jennings, Niall M. Adams, Adam M. Sykulski, 2010 .

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

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2010, COMPSTAT.

Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation

Niall M. Adams, Dean Adam Bodenham, N. Adams, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Data Mining for Fun and Profit

Niall M. Adams, David J. Hand, Gordon Blunt, 2000 .

Reading Proficiency and Mathematics Problem Solving by High School English Language Learners

Paul R. Cohen, Niall M. Adams, Carole R. Beal, 2010 .

Selection bias in credit scorecard evaluation

Niall M. Adams, David J. Hand, D. Hand, 2014, J. Oper. Res. Soc..

Comparing classifiers when the misallocation costs are uncertain

Niall M. Adams, David J. Hand, D. Hand, 1999, Pattern Recognit..

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

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2012, Stat. Anal. Data Min..

Performance criteria for plastic card fraud detection tools

DJ Hand, C Whitrow, NM Adams, 2008, J. Oper. Res. Soc..

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

Niall M. Adams, Dean A. Bodenham, N. Adams, 2016, Stat. Comput..

Plastic card fraud detection using peer group analysis

Niall M. Adams, David J. Hand, Piotr Juszczak, 2008, Adv. Data Anal. Classif..

Advances in Intelligent Data Analysis VIII: 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, ... Applications, incl. Internet/Web, and HCI

Jean-François Boulicaut, Céline Robardet, Niall M. Adams, 2009, IDA 2009.

Multiple Classifier Systems Based on Interpretable Linear Classifiers

Niall M. Adams, David J. Hand, Mark G. Kelly, 2001, Multiple Classifier Systems.

Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes

Niall M. Adams, Gordon J. Ross, Gordon J. Ross, 2012 .

Issues using logistic regression with class imbalance, with a case study from credit risk modelling

Niall M. Adams, Yazhe Li, Tony Bellotti, 2019, Foundations of Data Science.

Exponentially weighted moving average charts for detecting concept drift pdf

Dimitris K. Tasoulis, Niall M. Adams, David J. Hand, 2012, Pattern Recognit. Lett..

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

N. Adams, C. Fernandes, H. Hoeltgebaum, 2021, IEEE Transactions on Cybernetics.

Multi-type relational clustering for enterprise cyber-security networks

Niall M. Adams, Marina Evangelou, Elizabeth Riddle-Workman, 2021, Pattern Recognit. Lett..

Intelligent Agents for Disaster Management

Sarvapali D. Ramchurn, Nicholas R. Jennings, Erol Gelenbe, 2008 .

Visualising the Cluster Structure of Data Streams

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2007, IDA.

Continuous monitoring for changepoints in data streams using adaptive estimation

Niall M. Adams, Dean A. Bodenham, N. Adams, 2017, Stat. Comput..

Voting experts: An unsupervised algorithm for segmenting sequences

Paul R. Cohen, Niall M. Adams, Brent Heeringa, 2007, Intell. Data Anal..

Improving the Practice of Classifier Performance Assessment

Niall M. Adams, David J. Hand, D. Hand, 2000, Neural Computation.

Robust and adaptive algorithms for online portfolio selection

Niall M. Adams, Ajay Jasra, Theodoros Tsagaris, 2010, 1005.2979.

Streaming changepoint detection for transition matrices

Niall M. Adams, Joshua Plasse, Henrique Hoeltgebaum, 2021, Data Mining and Knowledge Discovery.

lambda-Perceptron: An adaptive classifier for data streams

Niall M. Adams, Nicos G. Pavlidis, David J. Hand, 2011, Pattern Recognit..

Temporally adaptive estimation of logistic classifiers on data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2009, Adv. Data Anal. Classif..

A parameter estimation method for multivariate binned Hawkes processes

N. Adams, Leigh Shlomovich, E. Cohen, 2022, Statistics and Computing.

Handling delayed labels in temporally evolving data streams

Niall M. Adams, Joshua Plasse, N. Adams, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Prospective Artificial Intelligence Approaches for Active Cyber Defence pdf

Neil Dhir, Mark Briers, Anthony Burke, 2021, ArXiv.

Estimating Optimal Active Learning via Model Retraining Improvement pdf

Christoforos Anagnostopoulos, Niall M. Adams, Lewis P. G. Evans, 2015, ArXiv.

Adaptive Anomaly Detection on Network Data Streams

Niall M. Adams, Marina Evangelou, Elizabeth Riddle-Workman, 2018, 2018 IEEE International Conference on Intelligence and Security Informatics (ISI).

Changepoint detection in non-exchangeable data

Niall M. Adams, Nicholas A. Heard, Karl L. Hallgren, 2021, Statistics and Computing.

When Does Active Learning Work?

Christoforos Anagnostopoulos, Niall M. Adams, Lewis P. G. Evans, 2013, IDA.

Prospects for Bandit Solutions in Sensor Management

Niall M. Adams, Nicos G. Pavlidis, David J. Hand, 2010, Comput. J..

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

Scott Ward, Edward A. K. Cohen, Niall Adams, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

An anomaly detection framework for cyber-security data

Niall M. Adams, Marina Evangelou, N. Adams, 2020, Comput. Secur..

Activity-based temporal anomaly detection in enterprise-cyber security

Niall M. Adams, Marina Evangelou, Mark Whitehouse, 2016, 2016 IEEE Conference on Intelligence and Security Informatics (ISI).

Online annotation and prediction for regime switching data streams

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2009, SAC '09.

Predictability of NetFlow data

Niall M. Adams, Marina Evangelou, N. Adams, 2016, 2016 IEEE Conference on Intelligence and Security Informatics (ISI).

An anomaly detection framework for cyber-security data

N. Adams, M. Evangelou, 2020, Comput. Secur..

On Adaptive Estimation for Dynamic Bernoulli Bandits pdf

Niall M. Adams, Nikolas Kantas, Xue Lu, 2017, Foundations of Data Science.

Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms (Invited Paper)

Christoforos Anagnostopoulos, Niall M. Adams, C. Anagnostopoulos, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

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

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand, 2008, SAC '08.

Targeting Optimal Active Learning via Example Quality pdf

Christoforos Anagnostopoulos, Niall M. Adams, Lewis P. G. Evans, 2014, ArXiv.

Assessing and improving classification rules

D. Hand, N. Adams, K. Yu, 2021 .

Testing for complete spatial randomness on three dimensional bounded convex shapes☆

N. Adams, E. Cohen, Scott Ward, 2020, Spatial statistics.

Dynamic Networks and Cyber-Security

Niall M. Adams, Nicholas A. Heard, N. Adams, 2016 .

Canonical Correlation Analysis for Detecting Changes in Network Structure

Niall M. Adams, Aidan O'Sullivan, Iead Rezek, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand, 2010, Comput. J..

Online optimization for variable selection in data streams

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, 2008, ECAI.

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

Paul R. Cohen, Niall M. Adams, Carole R. Beal, 2008, ECAI.

Unsupervised segmentation of categorical time series into episodes

Paul R. Cohen, Niall M. Adams, Brent Heeringa, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

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

Dimitris K. Tasoulis, Niall M. Adams, Gordon J. Ross, 2012, Comput. Stat..

Disassortativity of computer networks

Niall M. Adams, Nicholas A. Heard, Patrick Rubin-Delanchy, 2016, 2016 IEEE Conference on Intelligence and Security Informatics (ISI).