Society has reached a point of no return, one that leaves us completely reliant on omnipresent ICT-mediated communication. Mobile and sensor-rich portable devices connect millions of humans with Petabytes of data and numerous on-line services. However, tearing down the physical-digital barrier in a scalable fashion requires both radically novel algorithmic knowledge and in-depth understanding of humans and societies. We will deliver major theoretical advances in real-time intelligent information management of large datasets including online social networks, mobile devices and humans in physical space by delivering three functions: “alert”, by real-time location-aware knowledge acquisition, analysis and visualization; “response”, through on-demand composition and coordination of large teams; and effective “communication”, through recommendation and personalization.
Publication date
2021
In: ESANN 2021 - Proceedings, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning i6doc.com, Louvain-la-Neuve, pp. 665-670.
Gradient representations in ReLU networks as similarity functions
In: ECCOMAS MSF 2021, 5th International Conference on Multi-scale Computational Methods for Solids and Fluids University of Sarajevo Faculty of Civil Engineering, Sarajevo, pp. 93-95.
Parameter Identification in Dynamic Crack Propagation
In: ECCOMAS MSF 2021, 5th International Conference on Multi-scale Computational Methods for Solids and Fluids University of Sarajevo Faculty of Civil Engineering, Sarajevo, pp. 9-11.
On (Bayesian) Finite Element Model Updating of Civil Engineering Structures by Using Modal Features
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Evaluating Transferability of BERT Models on Uralic Languages
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System-aware dynamic partitioning for batch and streaming workloads