Items where Subject is "Data Science"

Sunderland Subject Areas (57)
- Computing (57)
  - Data Science (57)

Group by: Creators | Item Type

Jump to: C | D | G | H | J | K | M | P | Q | R | S | T | V | W | X | Y | Z

Number of items at this level: 57.

C

Chen, Xiang, Qing, Linbo, He, Xiaohai, Su, Jie and Peng, Yonghong (2018) From Eyes to Face synthesis: a new approach for human-centered smart surveillance. IEEE Access, 6 (99). 14567 -14575. ISSN 2169-3536

Cheng, Yongqiang, Ding, Xintao, Luo, Yonglong, Li, Qingde and Gope, Prosanta (2022) Consensus Adversarial Defense Method Based on Augmented Examples. Transactions on Industrial Informatics. pp. 984-994. ISSN 1941-0050

Cucurull-Sanchez, Lourdes, Chappell, Michael J., Chelliah, Vijayalakshmi, Amy Cheung, S. Y., Derks, Gianne, Penney, Mark, Phipps, Alex, Malik-Sheriff, Rahuman S., Timmis, Jonathan, Tindall, Marcus J., van der Graaf, Piet H., Vicini, Paolo and Yates, James W. T. (2019) Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network. CPT: Pharmacometrics & Systems Pharmacology, 8 (5). pp. 259-272.

D

Danso, Samuel O and Luo, Zeqi (2024) Exploring Risk Factor Interactions across the Development Stages of Dementia using an Explainable Machine Learning Model. In: 2024 29th International Conference on Automation and Computing. IEEE. (In Press)

Danso, Samuel O, Prattipati, Sindhu, Alqatawneh, Ibrahim and Ntailianis, Georgios (2024) Exploration of Machine Learning and Deep Learning Architectures for Dementia Risk Prediction Based on ATN Framework. In: 2024 29th International Conference on Automation and Computing. IEEE. (In Press)

Danso, Samuel O, Zeng, Zhanhang, Muniz-Terrera, Graciela and Ritchie, Craig W (2021) Developing an explainable machine learning-based personalised dementia risk prediction model: A transfer learning approach with ensemble learning algorithms. Frontiers in big Data, 4. p. 613047. ISSN 2624-909X

Ding, Xintao, Luo, Yonglong, Jie, Biao, Li, Qingde and Cheng, Yongqiang (2024) Using outlier elimination to assess learning-based correspondence matching methods. Information Sciences, 659. ISSN 0020-0255

G

Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura and Bradley, Steven (2018) CAM: A Combined Attention Model for Natural Language Inference. In: Proceedings 2018 IEEE International Conference on Big Data. IEEE, Seattle, USA, pp. 1009-1019. ISBN 9781538650349

Gajbhiye, Amit, Jaf, Sardar, Al-Moubayed, Noura, McGough, Stephen and Bradley, Steven (2018) An Exploration of Dropout with RNNs for Natural Language Inference. In: Artificial Neural Networks and Machine Learning – ICANN 2018. Springer Lecture Notes in Computer Science, III (11141). Springer, pp. 156-167. ISBN 9783030014247

Goh, Theng, Ho, Kah, Teow, Yeit and McGarry, Kenneth (2023) Influence of rGO/MWCNTs on antifouling properties of nanocomposite membrane: Statistical analysis. In: INTERNATIONAL CONFERENCE ON SUSTAINABLE ENGINEERING AND ADVANCED TECHNOLOGY: ICSEAT, 16–17 Jun 2022, Kota Damansara, Malaysia.

H

Huang, Chenxi, Lan, Yisha, Liu, Yuchen, Zhou, Wen, Pei, Hongbin, Yang, Longzhi, Cheng, Yongqiang, Hao, Yongtao and Peng, Yonghong (2018) A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. Complexity, 2018. pp. 1-17. ISSN 1076-2787

Huang, Chenxi, Shan, Xiaoying, Lan, Yisha, Liu, Lu, Cai, Haidong, Che, Wenliang, Hao, Yongtao, Cheng, Yongqiang and Peng, Yonghong (2018) A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images. IEEE Access, 6. pp. 39334-39343. ISSN 2169-3536

Huang, Chenxi, Xie, Yuan, Lan, Yisha, Hao, Yongtao, Chen, Fei, Cheng, Yongqiang and Peng, Yonghong (2018) A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images. IEEE Access, 6. pp. 36408-36419. ISSN 2169-3536

Huang, Chenxi, Zhou, Wen, Lan, Yisha, Chen, Fei, Hao, Yongtao, Cheng, Yongqiang and Peng, Yonghong (2018) A Novel WebVR-Based Lightweight Framework for Virtual Visualization of Blood Vasculum. IEEE Access, 6. pp. 27726-27735. ISSN 2169-3536

Hudson, Thomas and Jaf, Sardar (2018) On the Development of Large Scale Corpus for Native Language Identification. In: Proceedings of the 17th International Workshop on Treebanks and Linguistic Theories (TLT 2018), December 2018, Oslo, Norway.

J

Jaf, Sardar, Alabbas, Maytham and Khudeyer, Raidah S. (2018) Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition. In: International Journal of Asian Language Processing, 2017, Malaysia.

Jaf, Sardar and Ramsay, Allan (2013) Towards the Development of a Hybrid Parser for Natural Languages. In: Jones, Andrew V. and Ng, Nicholas eds, OpenAccess Series in Informatics (OASIcs) 35: 2013 Imperial College Computing Student Workshop, London.

K

Kawi, Omar, Clawson, Kathy, Dunn, Paul, Knight, Daniel, Hodgson, Jonathan and Peng, Yonghong (2020) Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. In: The International Joint Conference on Neural Networks (IJCNN), July 19-24, Glasgow, UK.

M

MacFarlane, Kate (2016) An Intelligent Multi-Agent System Approach to Automating Safety Features for On-Line Real Time Communications: Agent Mediated Information Exchange. Doctoral thesis, University of Huddersfield.

MacFarlane, Kate and Holmes, Violeta (2009) Agent-Mediated Information Exchange Child Safety Online. Agent-Mediated Information Exchange: Child Safety Online.

MacFarlane, Kate and Holmes, Violeta (2017) Multi-agent System for Safeguarding Children Online. In: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Lecture Notes in Networks and Systems, 16 (16). Springer International Publishing AG, pp. 228-242. ISBN 978-3-319-56994-9

McGarry, Kenneth (2023) Analyzing Social Media Data using Sentiment Mining and Bi-gram Analysis for the Recommendation of YouTube Videos. Information, 14 (7). ISSN E2078-2489

McGarry, Kenneth (2022) Graph theoretic and stochastic block models integrated with matrix factorization for community detection. In: The 21st UK Workshop on Computational Intelligence, 7 - 9 September 2022, University of Sheffield.. (In Press)

McGarry, Kenneth (2022) Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data. In: Artificial Intelligence XXXIX: 42nd SGAI International Conference on Artificial Intelligence, AI 2022, Cambridge, UK, December 13–15, 2022, Proceedings. Springer Nature, pp. 180-194. ISBN 978-3-031-21440-0

McGarry, Kenneth (2018) Perforated diverticulitis: To anastomose or not to anastomose? A systematic review and meta-analysis. International Journal of Surgery, 58. pp. 11-21. ISSN 1743-9191

McGarry, Kenneth, Ashton, Mark, Gong, Yu and Hosny, Amer (2020) The development of a predictive model to identify potential HIV-1 attachment inhibitors. Computers in Biology and Medicine. ISSN 0010-4825

McGarry, Kenneth, Graham, Yitka, McDonald, Sharon and Rashid, Anuam (2018) RESKO: Repositioning drugs by using side effects and knowledge from ontologies. Knowledge-Based Systems, 160. pp. 34-48. ISSN 0950-7051

McGarry, Kenneth and Mcdonald, Sharon (2018) Complex network theory for the identification and assessment of candidate protein targets. Computers in Biology and Medicine, 97. pp. 113-123. ISSN 0010-4825

McGarry, Kenneth, Nelson, David and Ashton, Mark (2020) A method to explore the connectivity patterns of proteins and drugs for identifying disease communities. SN Computer Science, 137. ISSN 2661-8907

Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, G. Chris, Breckon, Toby, McGough, Stephen, Theodoropoulos, Georgios and Obara, Boguslaw (2018) TMIXT: A process flow for Transcribing MIXed Handwritten and Machine-printed Text. In: IEEE International Conference on Big Data, US.

Modu, Babagana, Polovina, Nereida, Lan, Yang, Konur, Savas, Asyhari, A Taufiq and Peng, Yonghong (2017) Towards a Predictive Analytics-Based Intelligent Malaria Outbreak Warning System. Applied Sciences, 7 (8). p. 836. ISSN 2076-3417

Mohammadi, Mahnaz, Jaf, Sardar, McGough, Andrew Stephen, Breckon, Toby P., Matthews, Peter, Theodoropoulos, Georgios and Obara, Boguslaw (2019) On the Use of Neural Text Generation for the Task of Optical Character Recognition. In: 16th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2019, 3-7 Nov. 2019, Abu Dhabi - UAE.

P

Patel, Amisha, Harker, Nicola, Moreira-Santos, Lara, Ferreira, Manuela, Alden, Keiran, Timmis, Jonathan, Foster, Katie, Garefalaki, Anna, Pachnis, Vassilis, Andrews, Paul, Enomoto, Hideki, Milbrandt, Jeffrey and Veiga-Fernandes, Henrique (2012) Differential RET signaling pathways drive development of the enteric lymphoid and nervous systems. Science signaling, 5 (235). ISSN 1945-0877

Price, John and Hall, Lee (2019) Telling Tales Together: creating good collaborations between journalism and computing students. Journalism Education, 8 (1). pp. 6-16. ISSN 2050-3903

Prusakiewicz, Chris and McGarry, Kenneth (2023) Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. In: Artificial Intelligence XL 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12–14, 2023, Proceedings. Lecture Notes in Computer Science . Springer Nature, pp. 293-306. ISBN 978-3-031-47993-9 (In Press)