Member
Advaith Siddharthan
Professor of Computer Science and SocietyMy research specialisation is in Computational Linguistics and Data Science, with a focus on communicating complex data and making information and data (particularly telemetric data) accessible through text analytics, summarisation, reformulation and natural language generation. I have a particular interest in Citizen Science, and in particular, technologies that break down the divide between professional scientists and lay public and facilitate the meaningful engagement of the public with science.
Keys: Natural Language Generation, Citizen Science, Data Analytics, Language Technologies, Artificial Intelligence
Team: Phillimon Mumba, Stefan Rueger, Nirwan Sharma, Kai Waddington
News
15 Jul 2022
08 Jun 2022
25 Jan 2022
24 Nov 2020
13 Jul 2020
Publications
Ao, S., Rüger, S. and Siddharthan, A. (2023) Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection, 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, Macau, China
Ao, S., Rüger, S. and Siddharthan, A. (2023) Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Pittsburgh, PA, USA
Schiller, D., Yu, A., Alia-Klein, N., Becker, S., Cromwell, H., Dolcos, F., Eslinger, P., Frewen, P., Kemp, A., Pace-Schott, E., Raber, J., Silton, R., Stefanova, E., Williams, J., Abe, N., Aghajani, M., Albrecht, F., Alexander, R., Anders, S., Aragón, O., Arias, J., Arzy, S., Aue, T., Baez, S., Balconi, M., Ballarini, T., Bannister, S., Banta, M., Barrett, K., Belzung, C., Bensafi, M., Booij, L., Bookwala, J., Boulanger-Bertolus, J., Boutros, S., Bräscher, A., Bruno, A., Busatto, G., Bylsma, L., Caldwell-Harris, C., Chan, R., Cherbuin, N., Chiarella, J., Cipresso, P., Critchley, H., Croote, D., Demaree, H., Denson, T., Depue, B., Derntl, B., Dickson, J., Dolcos, S., Drach-Zahavy, A., DubljeviÄ, O., Eerola, T., Ellingsen, D., Fairfield, B., Ferdenzi, C., Friedman, B., Fu, C., Gatt, J., deGelder, B., Gendolla, G., Gilam, G., Goldblatt, H., Gooding, A., Gosseries, O., Hamm, A., Hanson, J., Hendler, T., Herbert, C., Hofmann, S., Ibanez, A., Joffily, M., Jovanovic, T., Kahrilas, I., Kangas, M., Katsumi, Y., Kensinger, E., Kirby, L., Koncz, R., Koster, E., Kozlowska, K., Krach, S., Kret, M., Krippl, M., Kusi-Mensah, K., Ladouceur, C., Laureys, S., Lawrence, A., Li, C., Liddell, B., Lidhar, N., Lowry, C., Magee, K., Marin, M., Mariotti, V., Martin, L., Marusak, H., Mayer, A., Merner, A., Minnier, J., Moll, J., Morrison, R., Moore, M., Mouly, A., Mueller, S., Mühlberger, A., Murphy, N., Muscatello, M., Musser, E., Newton, T., Noll-Hussong, M., Norrholm, S., Northoff, G., Nusslock, R., Okon-Singer, H., Olino, T., Ortner, C., Owolabi, M., Padulo, C., Palermo, R., Palumbo, R., Palumbo, S., Papadelis, C., Pegna, A., Pellegrini, S., Peltonen, K., Penninx, B., Pietrini, P., Pinna, G., Lobo, R., Polnaszek, K., Polyakova, M., Rabinak, C., HeleneRichter, S., Richter, T., Riva, G., Rizzo, A., Robinson, J., Rosa, P., Sachdev, P., Sato, W., Schroeter, M., Schweizer, S., Shiban, Y., Siddharthan, A., Siedlecka, E., Smith, R., Soreq, H., Spangler, D., Stern, E., Styliadis, C., Sullivan, G., Swain, J., Urben, S., Stock, J., Kooij, M., Overveld, M., Rheenen, T., VanElzakker, M., Ventura-Bort, C., Verona, E., Volk, T., Wang, Y., Weingast, L., Weymar, M., Williams, C., Willis, M., Yamashita, P., Zahn, R., Zupan, B., Lowe, L., Gabriela, G., F, H. and Leonie, L. (2023) The Human Affectome, pp. (Early access), Elsevier
Ao, S., Rueger, S. and Siddharthan, A. (2022) Confidence-Aware Calibration and Scoring Functions for Curriculum Learning, 2022 15th International Conference on Machine Vision., Rome, Italy
Sharma, N., Siddharthan, A., Colucci-Gray, L. and Wal, R. (2022) Consensus building in on-line citizen science, 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), Online