Browse by UCL people
Group by: Type | Date
Number of items: 56.
2023
Blake, Nathan;
Gaifulina, Riana;
Griffin, Lewis D;
Bell, Ian M;
Rodriguez-Justo, Manuel;
Thomas, Geraint MH;
(2023)
Deep Learning Applied to Raman Spectroscopy for the Detection of Microsatellite Instability/MMR Deficient Colorectal Cancer.
Cancers
, 15
(6)
, Article 1720. 10.3390/cancers15061720.
|
|
Dyer, Alexander J;
Griffin, Lewis D;
(2023)
Inferring the location of neurons within an artificial network from their activity.
Neural Networks
, 157
pp. 160-175.
10.1016/j.neunet.2022.10.012.
|
|
Griffin, LD;
Kleinberg, B;
Mozes, M;
Mai, K;
Vau, M;
Caldwell, M;
Mavor-Parker, A;
(2023)
Large Language Models respond to Influence like Humans.
In:
Proceedings of the Annual Meeting of the Association for Computational Linguistics.
(pp. pp. 15-24).
Association for Computational Linguistics
|
 |
|
Mai, Kimberly T;
Bray, Sergi;
Davies, Toby;
Griffin, Lewis D;
(2023)
Warning: Humans cannot reliably detect speech deepfakes.
PLoS One
, 18
(8)
, Article e0285333. 10.1371/journal.pone.0285333.
|
2022
|
Blake, Nathan;
Gaifulina, Riana;
Griffin, Lewis D;
Bell, Ian M;
Thomas, Geraint MH;
(2022)
Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature.
Diagnostics
, 12
(6)
, Article 1491. 10.3390/diagnostics12061491.
|
|
Mavor-Parker, Augustine N;
Young, Kimberly A;
Barry, Caswell;
Griffin, Lewis D;
(2022)
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation.
In: Chaudhuri, K and Jegelka, S and Song, L and Szepesvari, C and Niu, G and Sabato, S, (eds.)
International Conference on Machine Learning.
PMLR
|
|
|
Mozes, M;
Kleinberg, B;
Griffin, LD;
(2022)
Identifying Human Strategies for Generating Word-Level Adversarial Examples.
In:
Findings of the Association for Computational Linguistics: EMNLP 2022.
(pp. pp. 6147-6155).
ACL Anthology: Abu Dhabi, United Arab Emirates.
|
2021
|
Mai, KT;
Davies, T;
Griffin, LD;
(2021)
Brittle Features May Help Anomaly Detection.
In:
Proceedings of the 9th Women in Computer Vision workshop at CVPR (2021).
Women in Computer Vision: Virtual conference.
|
|
Mozes, M;
Bartolo, M;
Stenetorp, P;
Kleinberg, B;
Griffin, LD;
(2021)
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.
In:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
(pp. pp. 8258-8270).
Association for Computational Linguistics: Online and Punta Cana, Dominican Republic.
|
|
Mozes, M;
Stenetorp, P;
Kleinberg, B;
Griffin, LD;
(2021)
Frequency-guided word substitutions for detecting textual adversarial examples.
In:
(pp. pp. 171-186).
|
 |
2020
|
Andrews, JTA;
Zhang, Y;
Griffin, LD;
(2020)
Conditional Adversarial Camera Model Anonymization.
In:
Proceedings of the Computer Vision – ECCV 2020 Workshops 2020.
(pp. pp. 217-235).
Springer Nature: Cham, Switzerland.
|
|
|
Caldwell, M;
Andrews, JTA;
Tanay, T;
Griffin, LD;
(2020)
AI-enabled future crime.
Crime Science
, 9
(1)
, Article 14. 10.1186/s40163-020-00123-8.
|
|
|
Dreiman, GHS;
Bictash, M;
Fish, PV;
Griffin, L;
Svensson, F;
(2020)
Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding.
SLAS Discovery
10.1177/2472555220949495.
(In press).
|
|
|
Mylonas, D;
Griffin, LD;
(2020)
Coherence of achromatic, primary and basic classes of colour categories.
Vision Research
, 175
pp. 14-22.
10.1016/j.visres.2020.06.001.
|
|
|
Prins, S;
Langron, E;
Hastings, C;
Hill, EJ;
Stefan, AC;
Griffin, L;
Vergani, P;
(2020)
Fluorescence assay for simultaneous quantification of CFTR ion-channel function and plasma membrane proximity.
Journal of Biological Chemistry
, 295
(49)
pp. 16529-16544.
10.1074/jbc.RA120.014061.
|
|
|
Ton-Tran, K;
Griffin, L;
Chetty, K;
(2020)
Transfer Learning from Audio Deep Learning Models for Micro-Doppler Activity Recognition.
In:
Proceedings of the 2020 IEEE Radar Conference.
IEEE: Florence, Italy.
(In press).
|
|
2019
|
Caldwell, M;
Griffin, LD;
(2019)
Limits on transfer learning from photographic image data to X-ray threat detection.
Journal of X-Ray Science and Technology
, 27
(6)
pp. 1007-1020.
10.3233/XST-190545.
|
|
|
Griffin, Lewis D;
Caldwell, Matthew;
Andrews, Jerone TA;
Bohler, Helene;
(2019)
‘Unexpected item in the bagging area’: Anomaly Detection in X-ray Security Images.
IEEE Transactions on Information Forensics and Security
, 14
(6)
1539 -1553.
10.1109/TIFS.2018.2881700.
|
|
|
Griffin, LD;
(2019)
Reconciling the statistics of spectral reflectance and colour.
PLoS One
, 14
(11)
, Article e0223069. 10.1371/journal.pone.0223069.
|
|
|
Griffin, LD;
(2019)
The Atlas Structure of Images.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 41
(1)
pp. 234-245.
10.1109/TPAMI.2017.2777856.
|
|
Griffin, LD;
Mylonas, D;
(2019)
Categorical colour geometry.
PLOS ONE
, 14
(5)
, Article e0216296. 10.1371/journal.pone.0216296.
|
|
2018
|
Deans, C;
Griffin, LD;
Marmugi, L;
Renzoni, F;
(2018)
Machine Learning Based Localization and Classification with Atomic Magnetometers.
Physical Review Letters
, 120
(3)
, Article 033204. 10.1103/PhysRevLett.120.033204.
|
|
|
Delpiano, J;
Pizarro, L;
Peddie, CJ;
Jones, ML;
Griffin, LD;
Collinson, LM;
(2018)
Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy.
Journal of Microscopy
, 271
(1)
pp. 109-119.
10.1111/jmi.12700.
|
|
|
Jaccard, N;
Rogers, TW;
Morton, EJ;
Griffin, LD;
(2018)
Automated detection of smuggled high-risk security threats using Deep Learning.
In:
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016).
IEEE: Madrid, Spain.
|
|
|
Levin, EA;
Morgan, RM;
Griffin, LD;
Jones, VJ;
(2018)
A Comparison of Thresholding Methods for Forensic Reconstruction Studies Using Fluorescent Powder Proxies for Trace Materials.
Journal of Forensic Sciences
10.1111/1556-4029.13938.
|
|
|
Modi, S;
Higgs, NF;
Sheehan, D;
Griffin, LD;
Kittler, JT;
(2018)
Quantum dot conjugated nanobodies for multiplex imaging of protein dynamics at synapses.
Nanoscale
, 10
(21)
pp. 10241-10249.
10.1039/c7nr09130c.
|
|
|
Mylonas, D;
Stockman, A;
Griffin, LD;
(2018)
Basic Colour Terms Are Indispensable.
Presented at: AVA Christmas Meeting, London, UK.
|
|
|
Protonotarios, ED;
Griffin, LD;
Johnston, A;
Landy, MS;
(2018)
A spatial frequency spectral peakedness model predicts discrimination performance of regularity in dot patterns.
Vision Research
, 149
pp. 102-114.
10.1016/j.visres.2018.06.008.
|
2017
|
Andrews, JTA;
Jaccard, N;
Rogers, TW;
Griffin, LD;
(2017)
Representation-learning for anomaly detection in complex x-ray cargo imagery.
In:
Anomaly Detection and Imaging with X-Rays (ADIX) II.
(pp. 101870E-1).
SPIE
|
|
|
Caldwell, M;
Ransley, M;
Rogers, TW;
Griffin, LD;
(2017)
Transferring X-ray based automated threat detection between scanners with different energies and resolution.
In: Bouma, H and Carlysle-Davies, F and Stokes, RJ and Yitzhaky, Y, (eds.)
Counterterrorism, Crime Fighting, Forensics and Surveillance Technologies.
(pp. 104410F:1-104410F:10).
Society of Photo-Optical Instrumentation Engineers (SPIE): Bellingham, Washington, USA.
|
|
|
Jaccard, N;
Rogers, TW;
Morton, EJ;
Griffin, LD;
(2017)
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning.
Journal of X-Ray Science and Technology
, 25
(3)
pp. 323-339.
10.3233/XST-16199.
|
|
|
Jaccard, N;
Szita, N;
Griffin, LD;
(2017)
Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
, 5
(5)
pp. 359-367.
10.1080/21681163.2015.1016243.
|
|
|
Rickman, J;
Duellberg, C;
Cade, NI;
Griffin, LD;
Surrey, T;
(2017)
Steady-state EB cap size fluctuations are determined by stochastic microtubule growth and maturation.
PNAS - Proceedings of the National Academy of Sciences
, 114
(13)
pp. 3427-3432.
10.1073/pnas.1620274114.
|
|
Rogers, TW;
Jaccard, N;
Griffin, LD;
(2017)
A deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery.
In: Ashok, A and Franco, ED and Gehm, ME and Neifeld, MA, (eds.)
(Proceedings) Conference on Anomaly Detection and Imaging with X-Rays (ADIX) II.
SPIE-INT SOC OPTICAL ENGINEERING
|
|
|
Rogers, TW;
Jaccard, N;
Morton, EJ;
Griffin, LD;
(2017)
Automated X-ray image analysis for cargo security: Critical review and future promise.
Journal of X-Ray Science and Technology,
, 25
(1)
pp. 33-56.
10.3233/XST-160606.
|
|
|
Rogers, TW;
Jaccard, N;
Protonotarios, ED;
Ollier, J;
Morton, EJ;
Griffin, LD;
(2017)
Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines.
In: Claycomb, WR, (ed.)
2016 IEEE International Carnahan Conference on Security Technology (ICCST): Proceedings.
(pp. pp. 283-289).
IEEE: New York, USA.
|
|
|
Rogers, TW;
Ollier, J;
Morton, EJ;
Griffin, LD;
(2017)
Measuring and correcting wobble in large-scale transmission radiography.
Journal of X-ray Science and Technology
, 25
(1)
pp. 57-77.
10.3233/XST-160607.
|
|
2016
|
Al Awabdh, S;
Gupta-Agarwal, S;
Sheehan, DF;
Muir, J;
Norkett, R;
Twelvetrees, AE;
Griffin, LD;
(2016)
Neuronal activity mediated regulation of glutamate transporter GLT-1 surface diffusion in rat astrocytes in dissociated and slice cultures.
Glia
, 64
(7)
pp. 1252-1264.
10.1002/glia.22997.
|
|
Andrews, J;
Tanay, T;
Morton, EJ;
Griffin, LD;
(2016)
Transfer representation-learning for anomaly detection.
In:
Proceedings of the 33rd International Conference on Machine Learning.
JMLR: New York, NY, USA.
|
|
Bufacchi, RJ;
Liang, M;
Griffin, LD;
Iannetti, GD;
(2016)
A geometric model of defensive peripersonal space.
Journal of Neurophysiology
, 115
(1)
pp. 218-225.
10.1152/jn.00691.2015.
|
|
|
Jaccard, N;
Rogers, TW;
Morton, EJ;
Griffin, LD;
(2016)
Tackling the X-ray cargo inspection challenge using machine learning.
In: Ashok, A and Neifeld, MA and Gehm, ME, (eds.)
Anomaly Detection and Imaging with X-Rays (ADIX), 98470N (May 12, 2016); doi:10.1117/12.2222765.
(pp. 98470N).
Society of Photo-Optical Instrumentation Engineers (SPIE): Bellingham, Washington, USA.
|
|
Protonotarios, ED;
Johnston, A;
Griffin, LD;
(2016)
Difference magnitude is not measured by discrimination steps for order of point patterns.
Journal of Vision
, 16
(9)
p. 2.
10.1167/16.9.2.
|
|
|
Super, A;
Jaccard, N;
Cardoso Marques, MP;
Macown, RJ;
Griffin, LD;
Veraitch, FS;
Szita, N;
(2016)
Real-time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device.
Biotechnology Journal
, 11
(9)
pp. 1179-1189.
10.1002/biot.201500479.
|
2015
|
Mylonas, D;
Purver, M;
Sadrzadeh, M;
MacDonald, L;
Griffin, L;
(2015)
The Use of English Colour Terms in Big Data.
In: Yaguchi, H and Okajima, K and Ishida, T and Araki, K and Doi, M and Manabe, Y, (eds.)
AIC 2015, Color and Image, Midterm Meeting of the International Color Association: Proceedings.
The Color Science Association of Japan: Tokyo, Japan.
|
|
2014
|
Grove, J;
Metcalf, DJ;
Knight, AE;
Wavre-Shapton, ST;
Sun, T;
Protonotarios, E;
Griffin, LD;
... Marsh, M; + view all
(2014)
Flat Clathrin Lattices: stable features of the plasma membrane.
Mol Biol Cell
, 25
(22)
3581 - 3594.
10.1091/mbc.E14-06-1154.
|
|
|
Jaccard, N;
Griffin, LD;
Keser, A;
Macown, RJ;
Super, A;
Veraitch, FS;
Szita, N;
(2014)
Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images.
Biotechnology and Bioengineering
, 111
(3)
pp. 504-517.
10.1002/bit.25115.
|
|
|
Jaccard, N;
Macown, RJ;
Super, A;
Griffin, LD;
Veraitch, FS;
Szita, N;
(2014)
Automated and online characterization of adherent cell culture growth in a microfabricated bioreactor.
J Lab Autom
, 19
(5)
437 - 443.
10.1177/2211068214529288.
|
|
2013
|
Griffin, LD;
Wahab, MH;
Newell, AJ;
(2013)
Distributional learning of appearance.
PLoS One
, 8
(2)
, Article e58074. 10.1371/journal.pone.0058074.
|
|
2012
|
Reichen, M;
Macown, RJ;
Jaccard, N;
Super, A;
Ruban, L;
Griffin, LD;
Veraitch, FS;
(2012)
Microfabricated modular scale-down device for regenerative medicine process development.
PLOS One
, 7
(12)
, Article e52246. 10.1371/journal.pone.0052246.
|
|
2011
|
Newell, AJ;
Griffin, LD;
Morgan, RM;
Bull, PA;
(2011)
Texture-based estimation of physical characteristics of sand grains.
In:
Proceedings: 2010 Digital Image Computing: Techniques and Applications: DICTA 2010 1-3 December 2010, Sydney, Australia.
(pp. pp. 504-509).
IEEE Computer Society: Piscataway, US.
|
|
|
O'Reilly, MT;
Roth, A;
Häusser, M;
Griffin, LD;
(2011)
A circle-based method for detection of neural fibre cross-sections in classically stained 2D electron micrographs.
In:
Sixth International Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB), Heidelberg.
|
|
2010
|
Crosier, M;
Griffin, LD;
(2010)
Using basic image features for texture classification.
International Journal of Computer Vision
, 88
(3)
447 - 460.
10.1007/s11263-009-0315-0.
|
|
|
Griffin, LD;
Lillholm, M;
(2010)
Symmetry sensitivities of Derivative-of-Gaussian filters.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 32
(6)
1072 - 1083.
10.1109/TPAMI.2009.91.
|
|
2007
|
Griffin, LD;
(2007)
The second order local-image-structure solid.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 29
(8)
1355 - 1366.
10.1109/TPAMI.2007.1066.
|
|
1999
|
Griffin, LD;
(1999)
Empirical assessment of colour symmetries.
Behavioral and Brain Sciences
, 22
(6)
952 - 953.
10.1017/S0140525X99312218.
|
|
1995
|
Griffin, LD;
(1995)
Descriptions of Image Structure.
Doctoral thesis , UNSPECIFIED.
|
