Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games
(2021)
Conference Proceeding
Lieck, R., Wall, L., & Rohrmeier, M. A. (2021). Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games.
All Outputs (120)
DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications (2021)
Conference Proceeding
Li, L., Ismail, K. N., Shum, H. P., & Breckon, T. P. (2021). DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. . https://doi.org/10.1109/3dv53792.2021.00130We present DurLAR, a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient (near infrared) and reflectivity imagery, as well as a sample benchmark task using depth estimation for autonomous driving applications. Our driving platform is eq... Read More about DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.
Towards priority-awareness in autonomous intelligent systems (2021)
Conference Proceeding
Samin, H., Paucar, L. H. G., Bencomo, N., & Sawyer, P. (2021). Towards priority-awareness in autonomous intelligent systems. In C. Hung, J. Hong, A. Bechini, & E. Song (Eds.), . https://doi.org/10.1145/3412841.3442007
7th International Conference on Systems and Informatics (2021)
Conference Proceeding
(2021). 7th International Conference on Systems and Informatics. In J. Yang, K. Li, W. Tu, Z. Xiao, & L. Wang (Eds.),
Disjunctive Temporal Problems under Structural Restrictions (2021)
Conference Proceeding
Dabrowski, K. K., Jonsson, P., Ordyniak, S., & Osipov, G. (2021). Disjunctive Temporal Problems under Structural Restrictions. . https://doi.org/10.1609/aaai.v35i5.16489The disjunctive temporal problem (DTP) is an expressive temporal formalism that extends Dechter et al.’s simple temporal problem. The DTP is well studied in the literature and has many important applications. It is known that deciding satisfiability... Read More about Disjunctive Temporal Problems under Structural Restrictions.
Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic (2021)
Conference Proceeding
Aduragba, O. T., Yu, J., Cristea, A., & Shi, L. (2021). Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic.
Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software (2021)
Conference Proceeding
Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. . https://doi.org/10.1109/ftxs54580.2021.00005Resilient algorithms in high-performance computing are subject to rigorous non-functional constraints. Resiliency must not increase the runtime, memory footprint or I/O demands too significantly. We propose a task-based soft error detection scheme th... Read More about Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software.
Quickest Change Detection in the Presence of Transient Adversarial Attacks (2021)
Conference Proceeding
Vasantam, T., Towsley, D., & Veeravalli, V. V. (2021). Quickest Change Detection in the Presence of Transient Adversarial Attacks. . https://doi.org/10.1109/ciss50987.2021.9400287
“Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving (2021)
Conference Proceeding
Stelling, J., & Atapour-Abarghouei, A. (2021). “Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. . https://doi.org/10.1109/bigdata52589.2021.9672033Biases can filter into AI technology without our knowledge. Oftentimes, seminal deep learning networks champion increased accuracy above all else. In this paper, we attempt to alleviate biases encountered by semantic segmentation models in urban driv... Read More about “Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.
Bi-projection-based Foreground-aware Omnidirectional Depth Prediction (2021)
Conference Proceeding
Feng, Q., Shum, H. P., & Morishima, S. (2021). Bi-projection-based Foreground-aware Omnidirectional Depth Prediction.Due to the increasing availability of commercial 360- degree cameras, accurate depth prediction for omnidirectional images can be beneficial to a wide range of applications including video editing and augmented reality. Regarding existing methods, so... Read More about Bi-projection-based Foreground-aware Omnidirectional Depth Prediction.
Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App (2021)
Conference Proceeding
Paucar, L. H. G., Bencomo, N., Sutcliffe, A. G., Yue, T., & Mirakhorli, M. (2021). Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App. In T. Yue, & M. Mirakhorli (Eds.), . https://doi.org/10.1109/rew53955.2021.00026
Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead (2021)
Conference Proceeding
Bucchiarone, A., Cicchetti, A., Bencomo, N., Loria, E., & Marconi, A. (2021). Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead. . https://doi.org/10.1109/seams51251.2021.00028
From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems (2021)
Conference Proceeding
Ullauri, J. M. P., García-Domínguez, A., & Bencomo, N. (2021). From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems. . https://doi.org/10.1109/models-c53483.2021.00127
MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM) (2021)
Conference Proceeding
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2021). MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM). . https://doi.org/10.1109/icpr48806.2021.9413341
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks (2021)
Conference Proceeding
Lieck, R., & Rohrmeier, M. (2021). Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks.
Modeling Autonomic Systems in the time of ML, DevOps and Microservices (2021)
Conference Proceeding
Bencomo, N. (2021). Modeling Autonomic Systems in the time of ML, DevOps and Microservices. . https://doi.org/10.1109/models-c53483.2021.00118
Towards an architecture integrating complex event processing and temporal graphs for service monitoring (2021)
Conference Proceeding
Ullauri, J. M. P., García-Domínguez, A., Boubeta-Puig, J., Bencomo, N., & Ortiz, G. (2021). Towards an architecture integrating complex event processing and temporal graphs for service monitoring. In C. Hung, J. Hong, A. Bechini, & E. Song (Eds.), . https://doi.org/10.1145/3412841.3441923
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation (2021)
Conference Proceeding
Samin, H., Paucar, L. H. G., Bencomo, N., Hurtado, C. M. C., & Fredericks, E. M. (2021). RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. . https://doi.org/10.1109/seams51251.2021.00039
Byzantine Dispersion on Graphs (2021)
Conference Proceeding
Molla, A. R., Mondal, K., & Moses Jr., W. K. (2021). Byzantine Dispersion on Graphs. . https://doi.org/10.1109/ipdps49936.2021.00103
Efficient Deterministic Leader Election for Programmable Matter (2021)
Conference Proceeding
Dufoulon, F., Kutten, S., & Moses Jr., W. K. (2021). Efficient Deterministic Leader Election for Programmable Matter. . https://doi.org/10.1145/3465084.3467900