English version
Anis Yazidi

Anis Yazidi


Vitenskapelige publikasjoner

Karnati, Mohan; Seal, Ayan; Sahu, Geet; Yazidi, Anis; Krejcar, Ondrej (2022). A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays. Applied Soft Computing . Vol. 125.

Djenouri, Youcef; Belhadi, Asma; Yazidi, Anis; Srivastava, Gautam; Lin, Jerry Chun-Wei (2022). Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. Expert systems .

Haugerud, Hårek; Sobhie, Mohamad; Yazidi, Anis (2022). Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. Frontiers in Big Data . Vol. 5.

Torres Caceres, Veronica Alejandra; Duffaut, Kenneth; Yazidi, Anis; Westad, Frank Ove; Johansen, Yngve Bolstad (2022). Automated well log depth matching: Late fusion multimodal deep learning. Geophysical Prospecting .

Osnes, Idun; Yazidi, Anis; Jacobsen, Hans-Arno; Eliassen, Frank; Sartori, Sabrina (2022). Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind Powered Data Centers. Energies . Vol. 15.

Hassan, Ismail; Oommen, John B.; Yazidi, Anis (2022). Learning Automata with Artificial Reflecting Barriers in Games with Limited Information. The Florida Artificial Intelligence Research Society (FLAIRS)/Published by the University of Florida Press. Vol. 35.

Djenouri, Youcef; Srivastava, Gautam; Yazidi, Anis; Lin, Jerry Chun-Wei (2022). An edge-driven multi-agent optimization model for infectious disease detection. 12 s. Applied intelligence (Boston) .

Soni, Surbhi; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (2022). Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression. Computers in Biology and Medicine . Vol. 145.

Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard (2022). Efficient quantile tracking using an oracle. Applied intelligence (Boston) .

Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode; Kure, Øivind; Engelstad, Paal E. (2022). SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future generations computer systems . Vol. 133.

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