Temporally Extended Features: Modeling Delayed Causalities in Reinforcement Learning
(2014)
Other
Lieck, R. (2014). Temporally Extended Features: Modeling Delayed Causalities in Reinforcement Learning
Outputs (387)
Towards a Unified Model for Harmony and Voice-Leading (2018)
Other
Lieck, R., Harasim, D., & Rohrmeier, M. (2018). Towards a Unified Model for Harmony and Voice-Leading
Learning Structured Models of Musical Syntax (2018)
Other
Lieck, R., Harasim, D., & Rohrmeier, M. (2018). Learning Structured Models of Musical Syntax
PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art (2023)
Presentation / Conference Contribution
Nagai, T., Klem, S., Kayama, M., Asuke, T., Meccawy, M., Wang, J., …Shi, L. (2023). PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. . https://doi.org/10.1109/educon54358.2023.10125184The STEAM approach in education has been gaining increasing popularity over the last decade. This is due to its potential in enhancing students' learning, when teaching arts and scientific disciplines together. This paper introduces the PICA-PICA con... Read More about PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art.
Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools (2023)
Presentation / Conference Contribution
Thanyadit, S., Heintz, M., & Law, E. L. (2023). Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools. . https://doi.org/10.1145/3544548.3581069Remote conferencing systems are increasingly used to supplement or even replace in-person teaching. However, prevailing conferencing systems restrict the teacher’s representation to a webcam live-stream, hamper the teacher’s use of body-language, and... Read More about Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools.
Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance (2023)
Presentation / Conference Contribution
Aduragba, T. O., Yu, J., Cristea, A. I., & Long, Y. (in press). Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance.
Towards Automatic Tutoring of Custom Student-Stated Math Word Problems (2023)
Presentation / Conference Contribution
Arnau-González, P., Serrano-Mamolar, A., Katsigiannis, S., & Arevalillo-Herráez, M. (2023). Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. In AIED 2023: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky (639-644). https://doi.org/10.1007/978-3-031-36336-8_99Math Word Problem (MWP) solving for teaching math with Intelligent Tutoring Systems (ITSs) faces a major limitation: ITSs only supervise pre-registered problems, requiring substantial manual effort to add new ones. ITSs cannot assist with student-gen... Read More about Towards Automatic Tutoring of Custom Student-Stated Math Word Problems.
New/s Design: Informing Future Design Processes by Understanding Media Reporting of Medical Errors with Medical Devices [invited paper] (2015)
Presentation / Conference Contribution
Myketiak, C., Concannon, S., & Curzon, P. (2015). New/s Design: Informing Future Design Processes by Understanding Media Reporting of Medical Errors with Medical Devices [invited paper]. . https://doi.org/10.4108/eai.14-10-2015.2261762
Taking a Stance: a Corpus Study of Reported Speech (2015)
Presentation / Conference Contribution
Concannon, S., Purver, M., & Healey, P. (2015). Taking a Stance: a Corpus Study of Reported Speech.
Applying Computational Analysis to Textual Data from the Wild (2018)
Presentation / Conference Contribution
Concannon, S. J., Balaam, M., Simpson, E., & Comber, R. (2018). Applying Computational Analysis to Textual Data from the Wild. . https://doi.org/10.1145/3173574.3173800
Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry (2022)
Presentation / Conference Contribution
Hodgson, R., Wang, J., Cristea, A. I., & Graham, J. (2022). Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry. . https://doi.org/10.1109/iiai-aai-winter58034.2022.00018Barriers to the delivery of journalistic content to suitable media outlets present difficulties to both journalists and publishing houses. These may take the form of barriers to the identification of key individuals to whom the content is relevant, a... Read More about Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry.
Kinematic Comparison Between Gender Specific and Traditional Femoral Implants (2011)
Presentation / Conference Contribution
Saevarsson, S., Sharma, G. B., Montgomery, S. J., Ho, K., Ramm, H., Lieck, R., …Anglin, C. (2011). Kinematic Comparison Between Gender Specific and Traditional Femoral Implants.
Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games (2021)
Presentation / Conference Contribution
Lieck, R., Wall, L., & Rohrmeier, M. A. (2021). Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games.
How Natural is Argument in Natural dialogue? (2016)
Presentation / Conference Contribution
Concannon, S., Healey, P., & Purver, M. (2016). How Natural is Argument in Natural dialogue?.
Feature Discovery for Sequential Prediction of Monophonic Music (2017)
Presentation / Conference Contribution
Langhabel, J., Lieck, R., Toussaint, M., & Rohrmeier, M. (2017). Feature Discovery for Sequential Prediction of Monophonic Music.
Opening Up and Closing Down Discussion: Experimenting with Epistemic Status in Conversation (2017)
Presentation / Conference Contribution
Concannon, S., Purver, M., & Healey, P. (2017). Opening Up and Closing Down Discussion: Experimenting with Epistemic Status in Conversation.
Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances (2013)
Presentation / Conference Contribution
Lemos, R. D., Garlan, D., Ghezzi, C., Giese, H., Andersson, J., Litoiu, M., …Zambonelli, F. (2013). Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances. In R. de Lemos, D. Garlan, C. Ghezzi, & H. Giese (Eds.), . https://doi.org/10.1007/978-3-319-74183-3_1The important concern for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, dependable, energy-efficient, customisable, configurable and self-optimising when reacting to run-time changes that may oc... Read More about Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances.
Constructing a crowdsourced linked open knowledge base of Chinese history (2021)
Presentation / Conference Contribution
Sturgeon, D. (2021). Constructing a crowdsourced linked open knowledge base of Chinese history. . https://doi.org/10.23919/pnc53575.2021.9672294This paper introduces a crowdsourced approach to knowledge base construction for historical data based upon annotation of historical source materials. Building on an existing digital library of premodern Chinese texts and adapting techniques from oth... Read More about Constructing a crowdsourced linked open knowledge base of Chinese history.
Towards History-Aware Self-Adaptation with Explanation Capabilities (2019)
Presentation / Conference Contribution
García-Domínguez, A., Bencomo, N., Ullauri, J. M. P., & Paucar, L. H. G. (2019). Towards History-Aware Self-Adaptation with Explanation Capabilities. . https://doi.org/10.1109/fas-w.2019.00018
RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning (2019)
Presentation / Conference Contribution
Bencomo, N., & Paucar, L. H. G. (2019). RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning. In M. Kessentini, T. Yue, A. Pretschner, S. Voss, & L. Burgueño (Eds.), . https://doi.org/10.1109/models.2019.00005[Context/Motivation] A model at runtime can be defined as an abstract representation of a system, including its structure and behaviour, which exist alongside with the running system. Runtime models provide support for decision-making and reasoning b... Read More about RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning.