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Latest staff publications > Displaying [1–20 of 115]

  • Colucci-Gyay, L., Hancock, J., Manches, A., Lakeman-Fraser, P., Newman, J., Islam, R., Sharma, N., Dodd, M., Ansine, J., Bowers, L., Rüger, S. and Siddharthan, A., 2025, ‘To touch is to know’: haptic inquiry for primary school citizen science’, International Journal of Science Education, Part B: Communication and Public Engagement, 15(3), pp. 360–376., https://oro.open.ac.uk/104267/.
  • Sharma, N., Colucci-Gray, L., Lakeman-Fraser, P., Robinson, A., Newman, J., Van der Wal, R., Rüger, S. and Siddharthan, A., 2024, ‘Image Recognition as a ‘Dialogic AI Partner’ within Biodiversity Citizen Science - an empirical investigation’, Citizen Science: Theory and Practice, 9(1), https://oro.open.ac.uk/99851/.
  • Ao, S., Rüger, S. and Siddharthan, A., 2024, ‘CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs’, in 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), 15-19 Jul 2024, Barcelona, Spain., https://oro.open.ac.uk/100908/.
  • Colucci-Gray, L., Hancock, J., Islam, R., Sharma, N., Manches, A., Bowers, L., Lakeman-Fraser, P., Mozier, S., Newman, J., Reuger, S. and Siddharthan, A., 2024, ‘Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools’, in First International Conference on Embodied Education, 15-17 May 2024, Danish School of Education (DPU), Tuborgvej 164, 2400 Copenhagen, Denmark., https://oro.open.ac.uk/97621/.
  • Hancock, J., Colucci-Gray, L., Siddharthan, A., Manches, A., Sharma, N., Islam, R., Bowers, L., Reuger, S., Lakeman-Fraser, P., Newman, J., Mozier, S. and Barry, R., 2023, ‘“We felt the textures from nature and it gave us new ideas”: Investigating sustainability education through primary school children’s natural and digital haptic touch explorations’, in SERA Conference 2023, Wednesday 22 - Friday 24 Nov 2023, Queen Margaret University, Musselburgh, United Kingdom., https://oro.open.ac.uk/97619/.
  • Ao, S., Rueger, S. and Siddharthan, A., 2023, ‘Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration’, in Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 31 Jul - 4 Aug 2023, Pittsburgh, PA, USA., https://oro.open.ac.uk/94356/.
  • Ansine, J., Dodd, M., Valentine, C., Rüger, S., Siddharthan, A. and Dadswell, D., 2023, ‘iSpot & AI: Integrating FASTCAT-Cloud and PI@ntNET-API in the Cos4Cloud framework’, in Computers and Learning Research Group (CALRG) Conference 2023, 27-30 Jun 2023, Online., https://oro.open.ac.uk/100413/.
  • Ao, S., Rüger, S. and Siddharthan, A., 2023, ‘Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection’, in 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, 21-22 Aug 2023, Macau, China., https://oro.open.ac.uk/94378/.
  • Lakeman Fraser, P., Colluci-Gray, L., Robinson, A., Sforzi, A., Staples-Rolf, R., Newman, J., Gill, R., Sharma, N., Rüger, S. and Siddharthan, A., 2023, ‘X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science’, Citizen Science: Theory and Practice, 8(1), https://oro.open.ac.uk/86427/.
  • Ao, S., Rüger, S. and Siddharthan, A., 2022, ‘Confidence-Aware Calibration and Scoring Functions for Curriculum Learning’, in 2022 15th International Conference on Machine Vision., 18-20 Nov 2022, Rome, Italy., https://oro.open.ac.uk/87157/.
  • Riechmann, M., Gardiner, R., Waddington, K., Rueger, R., Fol Leymarie, F. and Rueger, S., 2022, ‘Motion vectors and deep neural networks for video camera traps’, Ecological Informatics, 69, https://oro.open.ac.uk/83593/.
  • Huynh, T., He, Y., Willis, A. and Rüger, S., 2016, ‘Adverse Drug Reaction Classification With Deep Neural Networks’, in Coling 2016, 13-15 Dec 2016, Osaka., https://oro.open.ac.uk/48109/.
  • Aparajeya, P., Petresin, V., Fol Leymarie, F. and Rueger, S., 2015, ‘Movement description and gesture recognition for live media arts’, in European Conference on Visual Media Production (CVMP), 24-25 Nov 2015, London., https://oro.open.ac.uk/46746/.
  • Halvey, M., McParlane, P., Jose, J. M., van Rijsbergen, K., Rüger, S., Manmatha, R. and Kankanhalli, M., 2015, ‘ICMR 2014: 4th ACM International Conference on Multimedia Retrieval’, ACM SIGIR Forum, 49(1), pp. 10–15., https://oro.open.ac.uk/46671/.
  • Huynh, T., He, Y. and Rüger, S., 2015, ‘Learning higher-level features with convolutional restricted Boltzmann machines for sentiment analysis’, in 37th European Conference on IR Research (ECIR 2015), 29 Mar - 2 Apr 2015, Vienna., https://oro.open.ac.uk/43265/.
  • Serdyukov, P., Braslavski, P., Kuznetsov, S., Kamps, J., Rüger, S., Agichtein, E., Segalovich, I. and Yilmaz, E. e., 2013, ‘Advances in Information Retrieval (Proceedings of the 35th European Conference on IR Research, ECIR 2013)’, Lecture Notes in Computer Science, 7814. Heidelberg: Springer., https://oro.open.ac.uk/37337/.
  • Lin, C., He, Y., Everson, R. and Rüger, S., 2012, ‘Weakly-supervised joint sentiment-topic detection from text’, IEEE Transactions on Knowledge and Data Engineering, 24(6), pp. 1134–1145., https://oro.open.ac.uk/31503/.
  • Little, S., Ferguson, R. and Rüger, S., 2012, ‘Finding and reusing learning materials with multimedia similarity search and social networks’, Technology, Pedagogy and Education, 21(2), pp. 255–271., https://oro.open.ac.uk/33991/.
  • Magalhães, J. and Rüger, S., 2012, ‘Using manual and automated annotations to search images by semantic similarity’, Multimedia Tools and Applications, 56(1), pp. 109–129., https://oro.open.ac.uk/32088/.
  • Rüger, S., Raghavan, V. V., King, I. and Huang, J. X., 2012, ‘Editorial: Special issue on advances in web intelligence’, Neurocomputing, 76(1), pp. 48–49., https://oro.open.ac.uk/29565/.