Outputs (237)

Latent Bernoulli Autoencoder (2019)
Presentation / Conference Contribution
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2019). Latent Bernoulli Autoencoder.

Urban Scene Segmentation using Semi-supervised GAN (2019)
Presentation / Conference Contribution
Kerdegari, H., Razaak, M., Argyriou, V., & Remagnino, P. (2019). Urban Scene Segmentation using Semi-supervised GAN. In L. Bruzzone, F. Bovolo, & J. Benediktsson (Eds.), . https://doi.org/10.1117/12.2533055

Smart Monitoring of Crops Using Generative Adversarial Networks (2019)
Presentation / Conference Contribution
Kerdegari, H., Razaak, M., Argyriou, V., & Remagnino, P. (2019, December). Smart Monitoring of Crops Using Generative Adversarial Networks. Presented at COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT I Univ Salerno, Dept Comp \& Elect Engn \& Appl Math; SAST Gmbh; A I Tech srl; AI4Health srl; Nexsoft spa; Gesan srl; Hanwha Techwin Europe Ltd; Springer Lecture Notes Comp Sci; Italian Assoc Comp Vi

ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution
Paucar, L. H. G., Bencomo, N., & Yuen, K. K. F. (2019). ARRoW: automatic runtime reappraisal of weights for self-adaptation. In C. Hung, & G. A. Papadopoulos (Eds.), . https://doi.org/10.1145/3297280.3299743

An architectural framework for quality-driven adaptive continuous experimentation (2019)
Presentation / Conference Contribution
Jiménez, M. A., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Bencomo, N. (2019). An architectural framework for quality-driven adaptive continuous experimentation. . https://doi.org/10.1109/rcose/ddree.2019.00012

An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies (2019)
Presentation / Conference Contribution
Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Mason, K., …Remagnino, P. (2019). An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies. In M. Vento, & G. Percannella (Eds.), . https://doi.org/10.1007/978-3-030-29930-9%5C_11

Exploring content game elements to support gamification design in educational systems: narrative and storytelling (2019)
Presentation / Conference Contribution
Palomino, P., Toda, A., Oliveira, W., Rodrigues, L., Cristea, A. I., & Isotani, S. (2019). Exploring content game elements to support gamification design in educational systems: narrative and storytelling. . https://doi.org/10.5753/cbie.sbie.2019.773

There are currently several studies on gamification applied to learning systems, aiming to encourage students to do certain tasks and improving their learning. According to several researches, most frameworks for gamification already developed are st... Read More about Exploring content game elements to support gamification design in educational systems: narrative and storytelling.

FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN (2019)
Presentation / Conference Contribution
Ma, D., Han, G., Xiao, A., Hu, Y., Ahmed, S. H., Aujla, G. S., & Cao, H. (2019). FAT-WSN: A Non Destructive and Secure Aggregation Strategy for Energy Saving in WSN. . https://doi.org/10.1109/gcwkshps45667.2019.9024492

Insensitivity of the mean field limit of loss systems under SQ(d) routeing (2019)
Journal Article
Vasantam, T., Mukhopadhyay, A., & Mazumdar, R. R. (2019). Insensitivity of the mean field limit of loss systems under SQ(d) routeing. Advances in Applied Probability, 51(4), https://doi.org/10.1017/apr.2019.41

An Arbitrary Precision Scaling and Squaring Algorithm for the Matrix Exponential (2019)
Journal Article
Fasi, M., & Higham, N. J. (2019). An Arbitrary Precision Scaling and Squaring Algorithm for the Matrix Exponential. SIAM Journal on Matrix Analysis and Applications, 40(4), https://doi.org/10.1137/18m1228876