Norwegian version
Fabrizio Palumbo

Fabrizio Palumbo

Research projects

  • The AI Journalism Resource Center

    The AIJRC is a resource center for AI and Data Science in investigative journalism. It is a collaboration between the AI Lab and the Department of Journalism and Media Studies at OsloMet.

Scientific publications

Aaby, Pernille; Biermann, Daniel; Yazidi, Anis ; Borges Moreno e Mello, Gustavo ; Palumbo, Fabrizio (2023). Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian. Bramer, Max; Stahl, Frederic (Ed.). Artificial Intelligence XL: 43rd SGAI International Conference on Artificial Intelligence, AI 2023. p. 47-58. Springer.
https://doi.org/10.1007/978-3-031-47994-6_4

Fridman, Marina; Krøvel, Roy ; Palumbo, Fabrizio (2023). How (not to) Run an AI Project in Investigative Journalism. 18 p. Journalism Practice.
https://doi.org/10.1080/17512786.2023.2253797

Krøvel, Roy ; Palumbo, Fabrizio ; Orgeret, Kristin (2023). Introduction: Understanding Roots and Betweenness Defining Safety of Journalists as a Sub-Field of Research. Reading between the Lines. Journalism Studies. Vol. 24.
https://doi.org/10.1080/1461670X.2023.2206494

Opalic, Sven Myrdahl; Palumbo, Fabrizio ; Goodwin, Morten ; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (2023). COST-WINNERS: COST reduction WIth Neural NEtworks-based augmented Random Search for simultaneous thermal and electrical energy storage control. 9 p. Journal of Energy Storage. Vol. 72.
https://doi.org/10.1016/j.est.2023.108202

Palumbo, Fabrizio ; Buji, Adam; Yazidi, Anis ; Haugerud, Hårek (2022). Genetic Algorithms For Tightening Security. Ukjent, Ukjent (Ed.). Proceedings of the 14th IFIP Wireless and Mobile Networking Conference. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.23919/WMNC56391.2022.9954297

Lien, Henrik; Biermann, Daniel; Palumbo, Fabrizio ; Goodwin, Morten (2022). An Exploration of Semi-supervised Text Classification. Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios; Pimenidis, Elias (Ed.). Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022. p. 477-488. Springer Nature.
https://doi.org/10.1007/978-3-031-08223-8_39

Palumbo, Fabrizio ; Serneels, Bram; Yaksi, Emre (2021). Optimized protocol for conditioned place avoidance learning in juvenile zebrafish. STAR Protocols. Vol. 2.
https://doi.org/10.1016/j.xpro.2021.100465

Fore, Stephanie Liesbeth; Acuna Hinrichsen, Francisca Daniela; Mutlu, Aytac Kadir; Bartoszek-Kandler, Ewelina Magdalena; Serneels, Bram; Faturos, Nicholas Guy; Chau, Khac Thanh Phong; Cosacak, Mehmet Ilyas; Diaz Verdugo, Carmen; Palumbo, Fabrizio ; Ringers, Christa; Jurisch-Yaksi, Nathalie; Kizil, Caghan; Yaksi, Emre (2020). Functional properties of habenular neurons are determined by developmental stage and sequential neurogenesis. Science Advances.
https://doi.org/10.1126/sciadv.aaz3173

Palumbo, Fabrizio ; Serneels, Bram; Pelgrims, Robbrecht; Yaksi, Emre (2020). The Zebrafish dorsal habenula is required for updating learned behaviors. Cell reports. Vol. 32.
https://doi.org/10.1016/j.celrep.2020.108054

Kermen, Florence; Darnet, Lea; Wiest, Christoph; Palumbo, Fabrizio ; Bechert, Jack; Uslu, Ozge; Yaksi, Emre (2020). Stimulus-specific behavioral responses of zebrafish to a large range of odors exhibit individual variability. 16 p. BMC Biology. Vol. 18.
https://doi.org/10.1186/s12915-020-00801-8





These publications are obtained from Cristin. The list may be incomplete