Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems
(2019)
Presentation / Conference Contribution
Gallard, J.-M., Krenz, L., Rannabauer, L., Reinarz, A., & Bader, M. (2019, November). Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems. Presented at SC19 SE-HER, Denver
Outputs (236)
Semantic combined network for zero-shot scene parsing (2019)
Journal Article
Wang, Y., Zhang, H., Wang, S., Long, Y., & Yang, L. (2020). Semantic combined network for zero-shot scene parsing. IET Image Processing, 14(4), 757 -765. https://doi.org/10.1049/iet-ipr.2019.0870Recently, image-based scene parsing has attracted increasing attention due to its wide application. However, conventional models can only be valid on images with the same domain of the training set and are typically trained using discrete and meaning... Read More about Semantic combined network for zero-shot scene parsing.
Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem (2019)
Journal Article
Zomaya, A. Y., Kumar, N., Rodrigues, J. J. P. C., & Aujla, G. S. (2020). Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem. IEEE Transactions on Industrial Informatics, 16(3), 1933-1937. https://doi.org/10.1109/tii.2019.2956047The papers in this special section focus on intelligent informatics for the edge of things in smart industrial ecosystems. In the recent years, Internet of Thing (IoT) has been widely deployed in numerous areas ranging from the development of smart c... Read More about Guest Editorial: Special Section on Intelligent Informatics for Edge of Things in Smart Industrial Ecosystem.
Robust algorithms with polynomial loss for near-unanimity CSPs (2019)
Journal Article
Dalmau, V., Kozik, M., Krokhin, A., Makarychev, K., Makarychev, Y., & Oprsal, J. (2019). Robust algorithms with polynomial loss for near-unanimity CSPs. SIAM Journal on Computing, 48(6), 1763-1795. https://doi.org/10.1137/18m1163932An instance of the Constraint Satisfaction Problem (CSP) is given by a family of constraints on overlapping sets of variables, and the goal is to assign values from a xed domain to the variables so that all constraints are satised. In the optimizatio... Read More about Robust algorithms with polynomial loss for near-unanimity CSPs.
Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers (2019)
Presentation / Conference Contribution
Prodan, R., Torre, E., Durillo, J. J., Aujla, G. S., Kumar, N., Fard, H. M., & Benedikt, S. (2019, December). Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers. Presented at 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Greece
RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning (2019)
Presentation / Conference Contribution
Bencomo, N., & Paucar, L. H. G. (2019, September). RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning. Presented at 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2019, Munich, Germany[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.
Addressing Bias to Improve Reliability in Peer Review of Programming Coursework (2019)
Presentation / Conference Contribution
Bradley, S. (2019, November). Addressing Bias to Improve Reliability in Peer Review of Programming Coursework. Presented at Koli Calling 2019, FinlandPeer review has many potential pedagogical benefits, particularly in the area of programming, where it is a part of everyday professional practice. Although sometimes used for formative assessment, it is less commonly used for summative assessment, p... Read More about Addressing Bias to Improve Reliability in Peer Review of Programming Coursework.
DiLSe: Lattice-based Secure and Dependable Data Dissemination Scheme for Social Internet of Vehicles (2019)
Journal Article
Gulati, A., Aujla, G. S., Chaudhary, R., Kumar, N., Obaidat, M., & Benslimane, A. (2019). DiLSe: Lattice-based Secure and Dependable Data Dissemination Scheme for Social Internet of Vehicles. IEEE Transactions on Dependable and Secure Computing, 18(6), 2520 - 2534. https://doi.org/10.1109/tdsc.2019.2953841
DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays (2019)
Journal Article
Zhong, F., Koulieris, G.-A., Drettakis, G., Banks, M. S., Chambe, M., Durand, F., & Mantiuk, R. (2019). DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays. ACM Transactions on Graphics, 38(6), Article 211. https://doi.org/10.1145/3355089.3356552In stereoscopic displays, such as those used in VR/AR headsets, our eyes are presented with two different views. The disparity between the views is typically used to convey depth cues, but it could be also used to enhance image appearance. We devise... Read More about DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays.
Deep-Learning-Based SDN Model for Internet of Things: An Incremental Tensor Train Approach (2019)
Journal Article
Singh, A., Aujla, G. S., Garg, S., Kaddoum, G., & Singh, G. (2020). Deep-Learning-Based SDN Model for Internet of Things: An Incremental Tensor Train Approach. IEEE Internet of Things Journal, 7(7), https://doi.org/10.1109/jiot.2019.2953537