The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
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/.
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/.
Dodd, M., Döring, M., Valentine, C., Siddharthan, A. and Ansine, J. (2024). Updating Species Dictionaries in the Citizen Science Platform iSpotnature. org with the Help of Its User Community and ChecklistBank. Biodiversity Information Science and Standards, 8 https://oro.open.ac.uk/100687/.
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/.
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/.
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/.
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/.
Schiller, D., Yu, A.N., Alia-Klein, N., Becker, S., Cromwell, H.C., Dolcos, F., Eslinger, P.J., Frewen, P., Kemp, A.H., Pace-Schott, E.F., Raber, J., Silton, R.L., Stefanova, E., Williams, J.H., Abe, N., Aghajani, M., Albrecht, F., Alexander, R., Anders, S., Aragón, O.R., Arias, J.A., Arzy, S., Aue, T., Baez, S., Balconi, M., Ballarini, T., Bannister, S., Banta, M.C., Barrett, K.C., Belzung, C., Bensafi, M., Booij, L., Bookwala, J., Boulanger-Bertolus, J., Boutros, S.W., Bräscher, A.K., Bruno, A., Busatto, G., Bylsma, L.M., Caldwell-Harris, C., Chan, R.C., Cherbuin, N., Chiarella, J., Cipresso, P., Critchley, H., Croote, D.E., Demaree, H.A., Denson, T.F., Depue, B., Derntl, B., Dickson, J.M., Dolcos, S., Drach-Zahavy, A., Dubljević, O., Eerola, T., Ellingsen, D.M., Fairfield, B., Ferdenzi, C., Friedman, B.H., Fu, C.H., Gatt, J.M., deGelder, B., Gendolla, G.H., Gilam, G., Goldblatt, H., Gooding, A.E.K., Gosseries, O., Hamm, A.O., Hanson, J.L., Hendler, T., Herbert, C., Hofmann, S.G., Ibanez, A., Joffily, M., Jovanovic, T., Kahrilas, I.J., Kangas, M., Katsumi, Y., Kensinger, E., Kirby, L.A., Koncz, R., Koster, E.H., Kozlowska, K., Krach, S., Kret, M.E., Krippl, M., Kusi-Mensah, K., Ladouceur, C.D., Laureys, S., Lawrence, A., Li, C.S.R., Liddell, B.J., Lidhar, N.K., Lowry, C.A., Magee, K., Marin, M.F., Mariotti, V., Martin, L.J., Marusak, H.A., Mayer, A.V., Merner, A.R., Minnier, J., Moll, J., Morrison, R.G., Moore, M., Mouly, A.M., Mueller, S.C., Mühlberger, A., Murphy, N.A., Muscatello, M.R.A., Musser, E.D., Newton, T.L., Noll-Hussong, M., Norrholm, S.D., Northoff, G., Nusslock, R., Okon-Singer, H., Olino, T.M., Ortner, C., Owolabi, M., Padulo, C., Palermo, R., Palumbo, R., Palumbo, S., Papadelis, C., Pegna, A.J., Pellegrini, S., Peltonen, K., Penninx, B.W., Pietrini, P., Pinna, G., Lobo, R.P., Polnaszek, K.L., Polyakova, M., Rabinak, C., HeleneRichter, S., Richter, T., Riva, G., Rizzo, A., Robinson, J.L., Rosa, P., Sachdev, P.S., Sato, W., Schroeter, M.L., Schweizer, S., Shiban, Y., Siddharthan, A., Siedlecka, E., Smith, R.C., Soreq, H., Spangler, D.P., Stern, E.R., Styliadis, C., Sullivan, G.B., Swain, J.E., Urben, S., Van den Stock, J., vander Kooij, M.A., van Overveld, M., Van Rheenen, T.E., VanElzakker, M.B., Ventura-Bort, C., Verona, E., Volk, T., Wang, Y., Weingast, L.T., Weymar, M., Williams, C., Willis, M.L., Yamashita, P., Zahn, R., Zupan, B., Lowe, L., Gabriela, G., Charlotte F, H. and Leonie, L. (2024). The Human Affectome. Neuroscience & Biobehavioral Reviews, 158 https://oro.open.ac.uk/94120/.
Lotz, N., Siddharthan, A., Priola, C. and Wallace, J. (2022). Gender equality work in a distance learning institution. In: Diversity Interventions 2022, 7-8 Apr 2022, Oxford. https://oro.open.ac.uk/93731/.
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/.
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/.
Sharma, N., Colucci-Gray, L., van der Wal, R. and Siddharthan, A. (2022). Consensus building in on-line citizen science. In: 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), 08-22 Nov 2022, Online. https://oro.open.ac.uk/83971/.
Peng, X., Zheng, Y., Lin, C. and Siddharthan, A. (2021). Summarising Historical Text in Modern Languages. In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 19-23 Apr 2021. https://oro.open.ac.uk/75802/.
Anderson, H.B., Robinson, A., Siddharthan, A., Sharma, N., Bostock, H., Salisbury, A., Roberts, S. and van der Wal, R. (2020). Citizen science data reveals the need for keeping garden plant recommendations up-to-date to help pollinators. Scientific Reports, 10(1), https://oro.open.ac.uk/73795/.
Mandya, A.A., Nomoto, T. and Siddharthan, A. (2014). Lexico-syntactic Text Simplification And Compression With Typed Dependencies. In: 25th International Conference on Computational Linguistics, 23-29 Aug 2014, Dublin. https://oro.open.ac.uk/58891/.
Angrosh, M. and Siddharthan, A. (2014). Text simplification using synchronous dependency grammars: Generalising automatically harvested rules. In: 8th International Natural Language Generation Conference, 19-21 Jun 2014, Philadelphia, Pennsylvania. https://oro.open.ac.uk/58890/.
Siddharthan, A. and Angrosh, M. (2014). Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 26-30 Apr 2014, Gothenburg, Sweden. https://oro.open.ac.uk/58887/.
Walker, A., Siddharthan, A. and Starkey, A. (2011). Investigation into Human Preference between Common and Unambiguous Lexical Substitutions. In: 13th European Workshop on Natural Language Generation, 28-30 Sep 2011, Nancy, France. https://oro.open.ac.uk/58884/.
