Research output per year
Research output per year
- 1 - 50 out of 88 results
Search results
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2025
A white-box false positive adversarial attack method on contrastive loss based offline handwritten signature verification models
Guo, Z., Li, W., Qian, Y., Arandelovic, O. & Fang, L., 5 Feb 2025, Proceedings of The 27th International Conference on Artificial Intelligence and Statistics: 2-4 May 2024, Palau de Congressos, Valencia, Spain. Dasgupta, S., Mandt, S. & Li, Y. (eds.). MLResearchPress, p. 901-909 11 p. (Proceedings of Machine Learning Research; vol. 238).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2024
Artwork protection against neural style transfer using locally adaptive adversarial color attack
Guo, Z., Dong, J., Qian, Y., Wang, K., Li, W., Guo, Z., Wang, Y., Li, Y., Arandjelović, O. & Fang, L., 19 Oct 2024, 27th European conference on artificial intelligence, 19–24 October 2024, Santiago de Compostela, Spain: including 13th Conference on prestigious applications of intelligent systems (PAIS 2024). Endriss, U., Melo, F. S., Bach, K., Bugarín-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). Amsterdam: IOS Press, p. 1414 - 1421 (Frontiers in artificial intelligence and applications; vol. 392).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Generative model for multiple-purpose inverse design and forward prediction of disordered waveguides in linear and nonlinear regimes
Guo, Z., Guo, Z., Arandelovic, O. & di Falco, A., 18 Jun 2024, Machine Learning in Photonics. Ferranti, F., Hedayati, M. K. & Fratalocchi, A. (eds.). Bellingham, WA: SPIE, 5 p. 1301702. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2023
HoechstGAN: virtual lymphocyte staining using generative adversarial networks
Wolflein, G., Um, I. H., Harrison, D. J. & Arandjelovic, O., 6 Feb 2023, 2023 IEEE/CVF Winter conference on applications of computer vision (WACV). IEEE, p. 4986-4996 11 p. 10030547. (2023 IEEE/CVF Winter conference on applications of computer vision (WACV)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
MultiPathGAN: structure preserving stain normalization using unsupervised multi-domain adversarial network with perception loss
Nazki, H., Arandjelović, O., Um, I. H. & Harrison, D., 27 Mar 2023, Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Hong, J., Lanperne, M., Park, J. W., Cerny, T. & Shahriar, H. (eds.). New York, NY: ACM, p. 1197-1204 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2022
Extracting and classifying salient fields of view from microscopy slides of tuberculosis bacteria
Zachariou, M., Arandelovic, O., Dombay, E., Sabiiti, W., Mtafya, B. A. & Sloan, D. J., 2 Jun 2022, Pattern recognition and artificial intelligence: third international conference, ICPRAI 2022, Paris, France, June 1–3, 2022, proceedings, part I. El Yacoubi, M., Granger, E., Yuen, P. C., Pal, U. & Vincent, N. (eds.). Cham: Springer, p. 146–157 12 p. (Lecture notes in computer science; vol. 13363).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2021
Facial action unit detection with local key facial sub-region based multi-label classification for micro-expression analysis
Zhang, L., Arandjelovic, O. & Hong, X., 24 Oct 2021, FME'21: Proceedings of the 1st Workshop on Facial Micro-expression: Advanced Techniques for Facial Expressions Generation and Spotting. New York: ACM, p. 11-18 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Whole slide pathology image patch based deep classification: an investigation of the effects of the latent autoencoder representation and the loss function form
Lomacenkova, A. & Arandjelović, O., 10 Aug 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 4 p. (IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2020
Quantification of advanced dementia patients' engagement in therapeutic sessions: an automatic video based approach using computer vision and machine learning
Zhang, L., Arandjelovic, O., Dewar, S., Astell, A., Doherty, G. & Ellis, M., Jul 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, Vol. 2020. p. 5785-5788 4 p. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Understanding ancient coin images
Cooper, J. & Arandjelovic, O., 2020, Recent Advances in Big Data and Deep Learning. Oneto, L., Navarin, N., Sperduti, A. & Anguita, D. (eds.). Cham: Springer, p. 330-340 (Proceedings of the International Neural Networks Society; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2019
Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles
Yue, X., Dimitriou, N., Caie, P., Harrison, D. & Arandjelovic, O., 18 Mar 2019, Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BICOB 2019: Honolulu; United States; 18 March 2019 through 20 March 2019. Eulenstein, O., Al-Mubaid, H. & Ding, Q. (eds.). EasyChair, p. 139-127 11 p. (EPiC Series in Computing; vol. 60).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles
Yue, X., Dimitriou, N., Caie, P. D., Harrison, D. J. & Arandjelović, O., 18 Mar 2019, Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BiCOB 2019. Eulenstein, O., Al-Mubaid, H. & Ding, Q. (eds.). International Society for Computers and Their Applications (ISCA), p. 139-149 11 p. (Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BiCOB 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2018
A Standardized, and Extensible Framework for Comparative Analysis of Quantitative Finance Algorithms - An Open-Source Solution, and Examples of Baseline Experiments with Discussion
Macindoe, A. & Arandjelovic, O., 2018, 2018 9th Ieee International Conference On Big Knowledge (icbk). Wu, X., Soon, O., Aggarwal, C. & Chen, H. (eds.). p. 409-414 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Automatic Semantic Labelling of Images by Their Content using Non-Parametric Bayesian Machine Learning and Image Search using Synthetically Generated Image Collages
Niemeyer, M. & Arandjelovic, O., 2018, 2018 Ieee 5th International Conference On Data Science And Advanced Analytics (dsaa). p. 160-168 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Creation of wide field retinal images from narrow field video acquired by an Arclight direct ophthalmoscope
Goudie, C., Chaves, K., Arandjelovic, O., Williams, W. & Blaikie, A., Nov 2018, The journal of clinical and experimental ophthalmology. Vol. 46. p. 116-116 1 p. (Clinical and experimental ophthalmology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Employing domain specific discriminative information to address inherent limitations of the LBP descriptor in face recognition
Fan, J. & Arandjelovic, O., 15 Oct 2018, 2018 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. 7 p. 8489691Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Machine learning based prediction of consumer purchasing decisions: the evidence and its significance
Stubseid, S. & Arandelovic, O., 2 Feb 2018, Proceedings AI and Marketing Science workshop at AAAI-2018. 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2017
Ancient Roman coin recognition in the wild using deep learning based recognition of artistically depicted face profiles
Schlag, I. & Arandelovic, O., 29 Oct 2017, 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 2898-2906 8265553Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Ancient Roman coin retrieval: a systematic examination of the effects of coin grade
Fare, C. & Arandelovic, O., 13 Apr 2017, Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. Jose, J. M., Hauff, C., Altıngovde , I. S., Song, D., Albakour, D., Watt, S. & Tait, J. (eds.). Cham: Springer, p. 410-423 (Lecture Notes in Computer Science; vol. 10193).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A pilot study of breast cancer patients: Can machine learning predict healthcare professionals' responses to patient emotions?
Barracliffe, L., Arandelovic, O. & Humphris, G. M., 20 Mar 2017, Proceedings of the 9th International Conference on Bioinformatics and Computational Biology, BICOB 2017: Honolulu; United States; 20 March 2017 through 22 March 2017. Eulenstein, O., Ding, Q. & Al-Mubaid, H. (eds.). International Society for Computers and Their Applications, p. 101-106Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Automatic vertebrae localization from CT scans using volumetric descriptors
Karsten, J. & Arandelovic, O., 14 Sept 2017, 2017 IEEE 39th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). IEEE, p. 576-579 8036890Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Glycaemic index prediction: a pilot study of data linkage challenges and the application of machine learning
Li, J. & Arandelovic, O., 18 Feb 2017, 2017 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, p. 357-360 7897279Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Information and knowing when to forget it
Sharma, R. & Arandelovic, O., 14 May 2017, 2017 IEEE International Joint Conference on Neural Networks (IJCNN). IEEE, p. 3184-3190 7966253Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Intuitive and interpretable visual communication of a complex statistical model of disease progression and risk
Li, J. & Arandelovic, O., 11 Jul 2017, 2017 IEEE 39th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). IEEE, p. 4199-4202 8037782Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Learning nuanced cross-disciplinary citation metric normalization using the hierarchical Dirichlet process on big scholarly data
Umar, H. & Arandelovic, O., 3 Apr 2017, Proceedings of the Symposium on Applied Computing. ACM, p. 1842-1847Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Light curve analysis from Kepler spacecraft collected data
Nigri, E. & Arandelovic, O., 6 Jun 2017, International Conference on Multimedia Retrieval, Bucharest, Romania — June 06 - 09, 2017. New York: ACM, p. 93-98Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Synthesising wider field images from narrow-field retinal video acquired using a low-cost direct ophthalmoscope (Arclight) attached to a smartphone
Chaves Viquez, K. D., Arandelovic, O., Blaikie, A. & Hwang, I. A., 23 Oct 2017, 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, p. 90-98 8265229Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards computer vision based ancient coin recognition in the wild — automatic reliable image preprocessing and normalization
Conn, B. & Arandelovic, O., 14 May 2017, 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1457-1464 8 p. 7966024Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards objective and reproducible study of patient-doctor interaction: automatic text analysis based VR-CoDES annotation of consultation transcripts
Birkett, C., Arandelovic, O. & Humphris, G. M., 11 Jul 2017, 2017 IEEE 39th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). IEEE, p. 2638-2641 8037399Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Visualization of patient specific disease risk prediction
Osuala, R. & Arandelovic, O., 16 Feb 2017, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, p. 241-244 7897250Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2016
Achieving stable subspace clustering by post-processing generic clustering results
Pham, D.-S., Arandjelovic, O. & Venkatesh, S., 31 Oct 2016, 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, Vol. 2016-October. p. 2390-2396 7 p. 7727496Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Analysing the history of autism spectrum disorder using topic models
Beykikhoshk, A., Phung, D., Arandelovic, O. & Venkatesh, S., 17 Oct 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2016). IEEE, p. 762-771 7796964Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Automatic knowledge extraction from EHRs
Vasiljeva, I. & Arandelovic, O., 10 Jul 2016, IJCAI 2016 - Workshop on Knowledge Discovery in Healthcare Data: New York City, USA, 10 July 2016. 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Descriptor transition tables for object retrieval using unconstrained cluttered video acquired using a consumer level handheld mobile device
Rieutort-Louis, W. & Arandelovic, O., 3 Nov 2016, 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 3030-3037 7727584Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Highly accurate gaze estimation using a consumer RGB-depth sensor
Ghiass, R. & Arandelovic, O., 9 Jul 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence: New York City, USA, 9–15 July 2016. Kambhampati, S. (ed.). Palo Alto: AAAI Press, p. 3368-3374Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Identification of promising research directions using machine learning aided medical literature analysis
Andrei, V. & Arandjelovic, O., 16 Aug 2016, 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). IEEE, p. 2471-2474 7591231Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Learnt quasi-transitive similarity for retrieval from large collections of faces
Arandelovic, O., 26 Jun 2016, Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, p. 4883-4892 10 p. 7780897. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Prediction of future hospital admissions - what is the tradeoff between specificity and accuracy?
Vasiljeva, I. & Arandelovic, O., Apr 2016, Proceedings of the 8th International Conference on Bioinformatics and Computational Biology, BICOB 2016: Las Vegas; United States; 4 April 2016 through 6 April 2016. Haspel, N. & Ioerger, T. (eds.). International Society for Computers and Their Applications, p. 9-14Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Towards sophisticated learning from EHRs: increasing prediction specificity and accuracy using clinically meaningful risk criteria
Vasiljeva, I. & Arandelovic, O., 16 Aug 2016, 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC). IEEE, p. 2452-2455 7591226Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Weighted linear fusion of multimodal data - a reasonable baseline?
Arandelovic, O., 1 Oct 2016, Proceedings of the 2016 ACM on Multimedia Conference. New York: ACM, p. 851-857Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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2015
Automatic vehicle tracking and recognition from aerial image sequences
Arandelovic, O., 19 Oct 2015, AVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 7301725Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bo(V)W models for object recognition from video
Rieutort-Louis, W. & Arandelovic, O., 30 Oct 2015, 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. Institute of Electrical and Electronics Engineers Inc., p. 89-92 4 p. 7314184Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Face filtering - Insights from real-world data
Biadgligne, Y. & Arandelovic, O., 30 Oct 2015, 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. Institute of Electrical and Electronics Engineers Inc., p. 65-68 4 p. 7314178Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Groupwise registration of aerial images
Arandelovic, O., Pham, D. S. & Venkatesh, S., 2015, IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Vol. 2015-January. p. 2133-2139 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature
Beykikhoshk, A., Arandelovic, O., Venkatesh, S. & Phung, D., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag, Vol. 9077. p. 550-562 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9077).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Highly accurate and fully automatic head pose estimation from a low quality consumer-level RGB-D sensor
Ghiass, R. S., Arandjelovic, O. & Laurendeau, D., 30 Oct 2015, HCMC 2015 - Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication, co-located with ACM MM 2015. ACM, p. 25-34 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis
Beykikhoshk, A., Arandelovic, O. & Venkatesh, D. P. S., 25 Aug 2015, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015. Pei, J., Silvestri, F. & Tang, J. (eds.). ACM, p. 1354-1361 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Prediction of health outcomes using big (health) data
Arandjelovic, O., 4 Nov 2015, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-November. p. 2543-2546 4 p. 7318910Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Sample-targeted clinical trial adaptation
Arandelovic, O., 1 Jun 2015, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, Vol. 3. p. 1693-1699 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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The adaptable buffer algorithm for high quantile estimation in non-stationary data streams
Arandelovic, O., Pham, D. S. & Venkatesh, S., 28 Sept 2015, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. 7280314Research output: Chapter in Book/Report/Conference proceeding › Conference contribution