1. Adams, N. M., Kirby, S. P. J., Harris, P. and Clegg, D. B., 'A review of parallel processing for statistical computation' Stat. Comput., 6, (1996), 37-49.
2. Adams, N.M., S. P. J. Kirby, P. Harris and D. B. Clegg, 'A note on parallel multiplicative congruential random number generation' Transputer Communications, 4(1), (1997), 1-9.
3. Adams, N.M., and Hand, D.J., 'Comparing classifiers when the misallocation costs are uncertain' Pattern Recogn., 32, (1999), 1139-1147.
4. Adams, N.M., and Hand, D.J., 'Improving the Practice of Classifier Performance Assessment' Neural Comput., 12(2), (2000), 305-311.
5. Adams, N.M., and Hand, D.J., 'An improved method of comparing classifiers' J. Comput. Biol. Med., 30(2), (2000), 89-96.
6. Hand, D.J., Blunt, G., Kelly, M.G., and Adams, N.M., 'Data mining for fun and profit, with discussion' Stat. Sci., 15(2), (2000), 111-126.
7. Hand, D.J. and Adams, N.M., 'Choosing attributes for scorecard construction' J. App. Stat., 27(5), (2000), 527-540.
8. Hand, D.J., Li, H.G. and Adams, N.M., 'Supervised classification with structured class definitions' Comput. Stat. Data An., 36(2), (2001), 209-225.
9. Adams, N.M., Hand, D.J. and Till, R.J. 'Mining for classes and patterns in behavioural data' J. Oper. Res. Soc., 52(9), (2001), 1017-1024.
10. Holmes, C.C. and Adams, N.M., 'A probabilistic nearest neighbor method for statistical pattern recognition' J. R. Stat. Soc. B Met., 64(2), (2002), 295-306.
11. Denison, D.G.T., Adams, N.M., Holmes, C.C. and Hand, D.J. 'Bayesian partition modelling' Comput. Stat. Data An., 38, (2002), 475-485.
12. Holmes, C.C. and Adams, N.M., 'Likelihood inference in nearest-neighbour classification models' Biometrika, 90(1), (2003), 99-112.
13. McManus, K.J., Stephens, D.A., Adams, N.M., Islam, S. A., Freemont, P.S. and Hendzel, M. J., 'The transcriptional regulator CBP has defined spatial associations within interphase nuclei' PLOS Comput. Biol., 2(10), (2006), 1271-1283.
14. Shiels, C., Adams, N.M., Stephens, D.A., Islam, S., and Freemont, P.S., 'Quantitative analysis of cell nuclear organisation' PLOS Comput. Biol., 3(7), (2007), 1161-1168.
15. Cohen, P.R., Adams, N.M., and Heeringa, B. 'Voting Experts: an algorithm for segmenting sequences' Intelligent Data Analysis, 11(6), (2007), 607-625.
16. Hand, D.J., Whitrow, C, Adams, N.M., Juszczak, P. and Weston, D.J., 'Performance criteria for plastic card fraud detection tools' J. Oper. Res. Soc., 58, (2008), 956-962.
17. Juszczak, P., Adams, N.M., Hand, D.J., Whitrow, C. and Weston, D.J., 'Off-the-peg and bespoke classifiers for fraud detection' Comput. Stat. Data An., 52, (2008), 4521-4532.
18. Weston, D.J., Hand, D.J., Adams, N.M., Whitrow, C., and Juszczak, P., 'Plastic card fraud detection using peer group analysis' Adv. Data An. Classif., 2(1), (2008), 45-62.
19. Whitrow, C., Hand, D.J., Juszczak, P., Weston, D.J., and Adams, N.M., 'Transaction aggregation as a strategy for credit card fraud detection', Data Min. Knowl. Disc., 18(1), (2009), 30-55.
20. Russell, R.A., Adams, N.M., Stephens, D.A., Batty, E., Jensen, K. and Freemont, P.S., 'The stable count thresholding (SCT) algorithm for segmentation of fluorescence microscopy images', Biophys. J, 96(8),(2009), 3379-3389.
21. Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M. and Hand, D.J. 'Temporally adaptive estimation of logistic classifiers on data streams'. Adv. Data An. Classif., 3(3) (2009), 243-261.
22. Beal, C.R., Adams, N.M and Cohen, P.R. 'Reading proficiency and mathematics problem solving by high school English Language Learners'. Urban Educ., 45 (2010), 58-74.
23. Tasoulis, D.K., Adams, N.M., and Hand, D.J., 'Selective fusion of out-of-sequence measurements', Information Fusion, 11(2), (2010), 183-191.
24. Adams, N.M. (invited), 'Perspectives on Data Mining', Int. J Market Res, 52(1) (2010), 183-191.
25. Anagonstopoulos, C., Adams, N.M. and Hand, D.J. 'Streaming graphical model selection with applications to adaptive querying in sensor networks', Comp. J., 53(9) (2010), 1401-1414.
26. Pavlidis, N.G., Adams, N.M., Nicholson, D. and Hand, D.J. 'Prospects for bandit solutions in sensor management', Comp. J., 53(9) (2010), 1370-1383.
27. Pavlidis, N.G., Tasoulis, D.K., Adams, N.M and Hand, D.J., 'lambda-perceptron: an adaptive classifier for data streams', Pattern Recog., 44(1) (2011), 78-96.
29.Ross, G.J. and Adams, N.M. "Two non-parametric control charts for detecting arbitrary distribution changes', J. Qual. Tech,. 44(2) (2012),102-116.
30.Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M., Pavlidis, D.K. and Hand, D.J., "Streaming Gaussian classification using recursive maximum likelihood with adaptive forgetting', Stat.Anal. Data Mining, 5(2) (2012), 139-166.
31.Ross, G.J., Adams, N.M., Tasoulis, D.K. and Hand, D.J. "Exponentially weighted moving average charts for detecting concept drift", Patt. Recog Lett, 33(2) (2012), 191-198.
32.Pavlidis, N.G., Tasoulis, D.K., Adams, N.M and Hand, D.J., "Adaptive consumer credit classification', J. Oper. Res. Soc. (2012), doi: 10.1057/jors.2012.15.
33.Weston, D.J., Adams, N.M., Russell, R.A., Stephens, D.A. and Freemont, P.S. "Analysis of spatial point patterns in nuclear biology', PLOS One, 7(5) (2012), doi:10.1371/journal.pone.0036841.
34.Tsagaris, T., Jasra, A and Adams, N.M., "Robust and Adaptive Algorithms for Online Portfolio Selection', Quantitative Finance, 12(11) (2012), 1651-1662.
35.Ross, G.J., Adams, N.M., Tasoulis, D.K. "Sequential monitoring of a Bernoulli sequence when the pre-change parameter is unknown', Comp. Stat., 28(2) (2013), 463-279.
36.Hand, D.J. and Adams, N.M. "Selection bias in credit scorecard evaluation', Journal of the Operational Research Society (2013), doi:10.1057/jors.2013.55.
1. Hoffman, F., Hand, D.J., Adams, N.M., Fisher, D. and Guimaraes, G. (eds.), 'Advances in Intelligent Data Analysis' Proceedings of the 4th International Conference, IDA 2001, Lecture Notes in Computer Science, 2189, (Springer: Berlin) 2001.
2. Hand, D.J., Adams, N.M., and Bolton, R.J. (eds.), 'Pattern Detection and Discovery' Proceedings of the ESF Exploratory Workshop, Lecture Notes in Artificial Intelligence, 2477, (Springer: Berlin) 2002.
3. Adams, N.M., Crowder, M.J., Hand, D.J. and Stephens, D.A., 'Methods and Models in Statistics - In honour of John Nelder' (World Scientific: Singapore) 2004.
4. Adams, N.M., Robardet, C., Siebes, A. and J.-F. Boulicault (eds), 'Advances in Intelligent Analysis VIII', Proceedings of the 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lecture Notes in Computer Science, 5772, (Springer: Berlin) 2009
5. Cohen, P.R. , Adams, N.M. and Berthold, M. (eds) 'Advances in Intelligent Data Analysis IX', Proceedings of the 9th International Symposium on Intelligent Data Analysis, IDA 2010, Lecture Notes in Computer Science, 6065, (Springer: Berlin) 2010.
6. Adams, N.M. and Freemont, P.S. (eds), 'Advances in Nuclear Architecture', Springer, 2010.
7. Adams, N.M. and Heard, N.A. (eds), 'Data Analysis for Network Cyber-Security', (World Scientific: Singapore), 2013, forthcoming
1. Adams, N.M., Hand, D.J. and Li, H.G., 'A simulation study of indirect prognostic classification' in 'COMPSTAT 1998, Proceedings in Computational Statistics' Payne, R. and Green, P., ed(Physica-Verlag), 1998, 149-154.
2. Kelly, M.G., Hand, D.J. and Adams, N.M., 'Defining the goals to optimise data mining performance' in 'Knowledge Discovery and Data Mining' Agrawal, R., Stolorz, P. and Piatetsky-Shapiro, G. ed(AAAI), 1998, 234-238.
3. Kelly, M.G., Hand, D.J. and Adams, N.M., 'The impact of changing populations on classifier performance' in 'KDD 99, Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining' Chaudhuri, S. and Madigan, D. ed(AAAI), 1999, 367-371.
4. Kelly, M.G., Hand, D.J. and Adams, N.M., 'Supervised classification problems: how to be both judge and jury' in 'Advances in Intelligent Data Analysis' Lecture Notes in Computer Science, 1642, Hand, D.J., Kok, J. and Berthold, M.R., ed(Springer), 1999, 235-244.
5. Cohen, P.R. and Adams, N.M., 'An algorithm for segmenting time series into meaningful episodes' in 'Advances in Intelligent Data Analysis', Lecture Notes in Computer Science, 2189, Hoffman, F., Hand, D.J., Adams, N.M, Fisher, D. and Guimaraes, G. ed(Springer), 2001, 198-207.
6. Cohen, P.R., Adams, N.M., and Hand, D.J. 'The IDA robot data challenge' in 'Advances in Intelligent Data Analysis', Lecture Notes in Computer Science, 2189, Hoffman, F., Hand, D.J., Adams, N., Fisher, D. and Guimaraes, G. ed(Springer), 2001, 378-382.
7. Cohen, P.R., Oates, T., Adams, N.M., and Beal, C.R., 'Robot Baby 2001' in 'Algorithmic Learning Theory' Lecture Notes in Artificial Intelligence 2225, Abe, N., Khardon, R. and Zeugman, T. ed(Springer), 2001, 32-57.
8. Hand, D.J., Adams, N.M., and Kelly, M.G., 'Multiple classifier systems based on interpretable linear systems' in 'Multiple Classifier Systems', Lecture Notes in Computer Science, 2096, Kittler, J. and Roli, F. ed(Springer), 2002,136-147.
9. Bolton, R.J., Hand, D.J. and Adams, N.M., 'Determining hit rate in pattern search' in 'Pattern Detection and Discovery', Lecture Notes in Artificial Intelligence, 2477, Hand, D.J., Adams, N.M., and Bolton, R.J. ed(Springer), 2002, 36-48.
10. Cohen, P.R., Heeringa, B. and Adams, N.M., 'An unsupervised algorithm for segmenting categorical time series into episodes' in 'Pattern Detection and Discovery', Lecture Notes in Artificial Intelligence, 2477, Hand, D.J., Adams, N.M., and Bolton, R.J. ed(Springer), 2002, 49-62.
11. Cohen, P.R., Oates, T., Beal, C.R. and Adams, N.M., 'Contentful Mental States for Robot Baby' in 'Proceedings of The Eighteenth National Conference on Artificial Intelligence', (AAAI), 2002, 126-131.
12. Cohen, P.R., Heeringa, B. and Adams, N.M., 'Unsupervised segmentation of categorical time series into episodes', in 'Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002)', IEEE Computer Society, 2002, 99-106.
13. Bolton, R.J., and Adams, N.M., 'An iterative hypothesis-testing strategy for pattern discovery' in 'Proceedings of the ninth ACM SIGKDD international conference on Knowledge Discovery and Data Mining', Getoor, L., Domingos, P., and Faloutsos, C., ed (ACM), 2003, 49-58.
14. Hand, D.J., Adams, N.M., and Heard, N.A. (invited) 'Pattern discovery tools for detecting cheating in student coursework' in 'Local Pattern Detection' Lecture notes in Computer Science 3539, Morik, K. Boulicault, J.-F. and Siebes, A. ed(Springer) 2005, 39-50.
15. Tasoulis, D.K., Adams, N.M., and Hand, D.J., 'Unsupervised clustering in streaming data' in 'ICDM 2006: Sixth IEEE International Conference on Data Mining, Workshops', 2006, 648-642.
16. Tasoulis, D.K., Adams, N.M., and Hand, D.J., 'Should delayed measurements always be incorporated in filtering?' in 'Proceedings of the 2007 15th International Conference on Digital Signal Processing', 2007, 264-267.
17. Tasoulis, D.K., Ross, G. and Adams, N.M., 'Visualising the clustering structure of data streams' in 'Advances in Intelligent Data Analysis VII' Lecture Notes in Computer Science, 4723, Berthold, M.J., Shaw-Taylor, J. and Lavrac, N. eds(Springer) 2007, 81-92.
18. Tasoulis, D.K., Adams, N.M., and Hand, D.J. 'Selective fusion of delayed measurements in filtering' in 'Proceedings of the 2007 International Workshop on Machine Learning for Signal Processing', 2007, 336-341.
19. Anagnostopoulos, C., Adams, N.M. and Hand, D.J. 'Deciding what to observe next: adaptive variable selection for regression in multivariate data streams' in 'Proceedings of the ACM Symposium on Applied Computing (SAC)', 2008, 961-965.
20. Anagnostopoulos, C. and Adams, N.M. (invited) 'Simulating dynamic covariance structures for testing the adaptive behavior of variable selection algorithms' in 'Proceedings of the 10th International Conference on Computer Modelling and Simulation', 2008, 52-57.
21. Tasoulis, D.K, Adams, N.M. and Hand D.J., 'Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks' in 'Proceedings of the 10th International Conference on Computer Modelling and Simulation', 2008, 661-666.
22. Tasoulis, D.K., Adams, N.M., Weston, D.J. and Hand, D.J., 'Mining information from plastic card transaction streams', in Compstat 2008, Proceedings in Computational Statistics: 18th Symposium, P. Brito (ed), 2008, 315-322.
23. Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M. and Hand, D.J. 'Online optimization for variable selection in data streams'. ECAI 2008, 18th European Conference on Artificial Intelligence, M. Ghallab, C.D. Spyropoulos, N. Fakotakis and N. Avouris (Eds)) 2008, 132-136.
24. Cohen, P.R., Beale, C.R. and Adams, N.M., 'The design, deployment and evaluation of the AnimalWatch intelligent tutoring system', in Prestigious Applications of Intelligent Systems (ECAI 2008, 18th European Conference on Artificial Intelligence, M. Ghallab, C.D. Spyropoulos, N. Fakotakis and N. Avouris (Eds)) 2008,663-667.
25. Pavlidis, N.G., Tasoulis, D.K., Adams, N.M. and Hand, D.J. 'Dynamic multi-armed bandit with covariates'. ECAI 2008, 18th European Conference on Artificial Intelligence, M. Ghallab, C.D. Spyropoulos, N. Fakotakis and N. Avouris (Eds)) 2008, 777-778.
26. Tasoulis, D.K, Adams, N.M. and Hand, D.J., 'Exploiting and handling delayed measurements in sensor systems', SENSORCOMM '08, Second International Conference on Sensor Technologies and Applications, 2008, 166-171.
27. Ross,G, Adams, N.M. Tasoulis, D.K. and Hand, D.J., 'Streaming annotation and prediction for regime switching data streams'. In Dongwan Shin (ed). Proceedings of the 24th Annual ACM Symposium on Applied Computing, Vol III, (2009), 1501-1505
28. Adams, N.M., Tasoulis, D.K., Anagnostopoulos, C. and Hand, D.J. 'Temporally-adaptive linear classification for handling population drift in credit scoring', COMPSTAT2010, Proceedings of the 19th International Conference on Computational Statistics, Lechevallier, Y. And Saporta. (Eds), 2010, Springer, 167-176.
29. Sykulski, A.M., Adams, N.M. and Jennings, N.R. 'On-line adaptation of exploration in the one-armed bandit with covariates problem'. International Conference on Machine Learning and Applications (ICMLA 2010), 2010, 459-464.
30. Weston, D.J., Kim, Y., Adams, N.M. and Hand, D.J. 'Fault mining using peer group analysis'. Challenges at the Interface of Data Analysis, Computer Science and Optimization, Proceedings of GFKL 2010, W.A. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme and J. Kunze (eds), 2010, 453-461.
31. Kerr, W., Cohen, P.R. and Adams, N.M. 'Recognizing players activities and hidden state', Proceedings of the 6th International Conference on Foundations of Digital Games, 2011, 84-90.
32. O'Sullivan, A., Adams, N.M. and Rezek, I. 'Canonical correlation analysis for detecting changes in network structure', 2012 Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on Data Mining, 2012, 250-257.
33. Evans, L.P.G., Adams, N.M. and Anagnostopoulos, C. (2013) 'When does active learning work?', in 'Advances in Intelligent Data Analysis XII', Lecture Notes in Computer Science, (8207), eds. Tucker, A., Hoppner F., Siebes, A. and Swift, S., 174-185.
34. Bodenham, D.A. and Adams, N.M. 'Continuous monitoring of a computer network using multivariate adaptive estimation', IEEE ICDM Networks Workshop 2013, accepted.