Cyhoeddiad
2020
- Tu, K., Li, J., Towsley, D., Braines, D. and Turner, L. 2020. gl2vec: Learning feature representation using graphlets for directed networks. Presented at: 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, BC, Canada, 27-30 August 2019Proceedings of ASONAM 19. New York: Association for Computing Machinery pp. 216-221., (10.1145/3341161.3342908)
2018
- Braines, D. et al. 2018. Subjective Bayesian Networks and human-in-the-loop situational understanding. Presented at: GKR 2017: 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, Melbourne, VIC, Australia, 21 August 2017 Presented at Croitoru, M. et al. eds.Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers. Lecture Notes in Computer Science Springer pp. 29-53., (10.1007/978-3-319-78102-0_2)
- Tomsett, R., Braines, D., Harborne, D., Preece, A. D. and Chakraborty, S. 2018. Interpretable to whom? A role-based model for analyzing interpretable machine learning systems. Presented at: 3rd Annual Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden, 14 July 2018.
- Preece, A. D., Ashelford, R., Armstrong, H. and Braines, D. 2018. Hows and whys of artificial intelligence for public sector decisions: Explanation and evaluation. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018.
- Preece, A., Harborne, D., Braines, D., Tomsett, R. and Chakraborty, . 2018. Stakeholders in explainable AI. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018.
- Preece, A., Harborne, D., Raghavendra, ., Tomsett, R. and Braines, D. 2018. Provisioning robust and interpretable AI/ML-based service bundles. Presented at: MILCOM 2018, Los Angeles, USA, October 29 - 31, 2018.
2017
- Preece, A., Webberley, W., Braines, D., Zaroukian, E. G. and Bakdash, J. Z. 2017. SHERLOCK: Experimental evaluation of a conversational agent for mobile information tasks. IEEE Transactions on Human-Machine Systems 47(6), pp. 1017-1028. (10.1109/THMS.2017.2700625)
- Chakraborty, S., Preece, A. D., Alzantot, M., Xing, T., Braines, D. and Srivastava, M. 2017. Deep learning for situational understanding. Presented at: IEEE International Conference on Information Fusion, Xi'an, China, 10-13 July 2017Information Fusion (Fusion), 2017 20th International Conference on. IEEE, (10.23919/ICIF.2017.8009785)
- Chakraborty, S. et al. 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- Nottle, A. et al. 2017. Distributed opportunistic sensing and fusion for traffic congestion detection. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- O'Leary, N., Braines, D., Preece, A. D. and Webberley, W. 2017. Conversational homes. Presented at: The Ninth International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece, 19 - 23 February 2017ThinkMind: COGNITIVE 2017. The 9th International Conference on Advanced Cognitive Technologies and Applications. IARIA pp. 82-89.
- Preece, A. D. et al. 2017. Coalitions of things: supporting ISR tasks via Internet of Things approaches. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, Anaheim, USA, 10 - 13 April 2017Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, Vol. 10190. SPIE pp. 101900A., (10.1117/12.2266460)
- Preece, A. D., Cerutti, F., Braines, D., Chakraborty, S. and Srivastava, M. 2017. Cognitive computing for coalition situational understanding. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- Braines, D., Thomas, A., Kaplan, L., Sensoy, M., Ivanovska, M., Preece, A. D. and Cerutti, F. 2017. Human-in-the-loop situational understanding via subjective Bayesian networks. Presented at: The 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2017), Melbourne, Australia, 19-25 August 2017.
- Preece, A. D. and Braines, D. S. 2017. Conversational services for multi-agency situational understanding. Presented at: AAAI 2017 Fall Symposium: Cognitive Assistance in Government and Public Sector Applications, Washington, D.C., USA, 9-11 November 2017.
Articles
- Preece, A., Webberley, W., Braines, D., Zaroukian, E. G. and Bakdash, J. Z. 2017. SHERLOCK: Experimental evaluation of a conversational agent for mobile information tasks. IEEE Transactions on Human-Machine Systems 47(6), pp. 1017-1028. (10.1109/THMS.2017.2700625)
Conferences
- Tu, K., Li, J., Towsley, D., Braines, D. and Turner, L. 2020. gl2vec: Learning feature representation using graphlets for directed networks. Presented at: 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, BC, Canada, 27-30 August 2019Proceedings of ASONAM 19. New York: Association for Computing Machinery pp. 216-221., (10.1145/3341161.3342908)
- Braines, D. et al. 2018. Subjective Bayesian Networks and human-in-the-loop situational understanding. Presented at: GKR 2017: 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning, Melbourne, VIC, Australia, 21 August 2017 Presented at Croitoru, M. et al. eds.Graph Structures for Knowledge Representation and Reasoning: 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers. Lecture Notes in Computer Science Springer pp. 29-53., (10.1007/978-3-319-78102-0_2)
- Tomsett, R., Braines, D., Harborne, D., Preece, A. D. and Chakraborty, S. 2018. Interpretable to whom? A role-based model for analyzing interpretable machine learning systems. Presented at: 3rd Annual Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden, 14 July 2018.
- Preece, A. D., Ashelford, R., Armstrong, H. and Braines, D. 2018. Hows and whys of artificial intelligence for public sector decisions: Explanation and evaluation. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018.
- Preece, A., Harborne, D., Braines, D., Tomsett, R. and Chakraborty, . 2018. Stakeholders in explainable AI. Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018.
- Preece, A., Harborne, D., Raghavendra, ., Tomsett, R. and Braines, D. 2018. Provisioning robust and interpretable AI/ML-based service bundles. Presented at: MILCOM 2018, Los Angeles, USA, October 29 - 31, 2018.
- Chakraborty, S., Preece, A. D., Alzantot, M., Xing, T., Braines, D. and Srivastava, M. 2017. Deep learning for situational understanding. Presented at: IEEE International Conference on Information Fusion, Xi'an, China, 10-13 July 2017Information Fusion (Fusion), 2017 20th International Conference on. IEEE, (10.23919/ICIF.2017.8009785)
- Chakraborty, S. et al. 2017. Interpretability of deep learning models: a survey of results. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- Nottle, A. et al. 2017. Distributed opportunistic sensing and fusion for traffic congestion detection. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- O'Leary, N., Braines, D., Preece, A. D. and Webberley, W. 2017. Conversational homes. Presented at: The Ninth International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece, 19 - 23 February 2017ThinkMind: COGNITIVE 2017. The 9th International Conference on Advanced Cognitive Technologies and Applications. IARIA pp. 82-89.
- Preece, A. D. et al. 2017. Coalitions of things: supporting ISR tasks via Internet of Things approaches. Presented at: Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, Anaheim, USA, 10 - 13 April 2017Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, Vol. 10190. SPIE pp. 101900A., (10.1117/12.2266460)
- Preece, A. D., Cerutti, F., Braines, D., Chakraborty, S. and Srivastava, M. 2017. Cognitive computing for coalition situational understanding. Presented at: IEEE Smart World Congress 2017 Workshop: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 7-8 August 2017.
- Braines, D., Thomas, A., Kaplan, L., Sensoy, M., Ivanovska, M., Preece, A. D. and Cerutti, F. 2017. Human-in-the-loop situational understanding via subjective Bayesian networks. Presented at: The 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning (GKR 2017), Melbourne, Australia, 19-25 August 2017.
- Preece, A. D. and Braines, D. S. 2017. Conversational services for multi-agency situational understanding. Presented at: AAAI 2017 Fall Symposium: Cognitive Assistance in Government and Public Sector Applications, Washington, D.C., USA, 9-11 November 2017.