Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Zajec, P."'
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Maja Klancnik Gruden, Andreja Mihelič Zajec, Doroteja Rebec, Anja Novak, Matejka Pintar Babič, Tamara Lubi, Tanja Podlipnik, Maja Medvešček Smrekar
Publikováno v:
Obzornik zdravstvene nege (2024)
Uvod: Uporaba naprednega procesa zdravstvene nege predstavlja za medicinske sestre v praksi velik izziv, zato so bile za njih organizirane učne delavnice za uvedbo standardiziranih jezikov zdravstvene nege. Namen raziskave je bil ugotoviti izkušnje
Externí odkaz:
https://doaj.org/article/073efc8c4dab4be696e73c7f98ad39a2
Autor:
Rožanec, Jože M., Zajec, Patrik, Theodoropoulos, Spyros, Koehorst, Erik, Fortuna, Blaž, Mladenić, Dunja
Industry 4.0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence. The DRAEM technique has shown state-of-the-art performance for unsupervised classifica
Externí odkaz:
http://arxiv.org/abs/2212.09352
Autor:
Rožanec, Jože M., Zajec, Patrik, Theodoropoulos, Spyros, Koehorst, Erik, Fortuna, Blaž, Mladenić, Dunja
Quality control is a crucial activity performed by manufacturing companies to ensure their products conform to the requirements and specifications. The introduction of artificial intelligence models enables to automate the visual quality inspection,
Externí odkaz:
http://arxiv.org/abs/2212.09317
Autor:
Rožanec, Jože M., Bizjak, Luka, Trajkova, Elena, Zajec, Patrik, Keizer, Jelle, Fortuna, Blaž, Mladenić, Dunja
Quality control is a crucial activity performed by manufacturing enterprises to ensure that their products meet quality standards and avoid potential damage to the brand's reputation. The decreased cost of sensors and connectivity enabled increasing
Externí odkaz:
http://arxiv.org/abs/2209.05486
Autor:
Rožanec, Jože M., Trajkova, Elena, Novalija, Inna, Zajec, Patrik, Kenda, Klemen, Fortuna, Blaž, Mladenić, Dunja
Artificial Intelligence models are increasingly used in manufacturing to inform decision-making. Responsible decision-making requires accurate forecasts and an understanding of the models' behavior. Furthermore, the insights into models' rationale ca
Externí odkaz:
http://arxiv.org/abs/2204.05579
Autor:
Rožanec, Jože M., Novalija, Inna, Zajec, Patrik, Kenda, Klemen, Tavakoli, Hooman, Suh, Sungho, Veliou, Entso, Papamartzivanos, Dimitrios, Giannetsos, Thanassis, Menesidou, Sofia Anna, Alonso, Ruben, Cauli, Nino, Meloni, Antonello, Recupero, Diego Reforgiato, Kyriazis, Dimosthenis, Sofianidis, Georgios, Theodoropoulos, Spyros, Fortuna, Blaž, Mladenić, Dunja, Soldatos, John
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and human-centricity at its core. Therefore, we propose an architectu
Externí odkaz:
http://arxiv.org/abs/2203.10794
The increasing digitalization of the manufacturing domain requires adequate knowledge modeling to capture relevant information. Ontologies and Knowledge Graphs provide means to model and relate a wide range of concepts, problems, and configurations.
Externí odkaz:
http://arxiv.org/abs/2107.02298
Autor:
Rožanec, Jože M., Zajec, Patrik, Kenda, Klemen, Novalija, Inna, Fortuna, Blaž, Mladenić, Dunja
The increasing adoption of artificial intelligence requires accurate forecasts and means to understand the reasoning of artificial intelligence models behind such a forecast. Explainable Artificial Intelligence (XAI) aims to provide cues for why a mo
Externí odkaz:
http://arxiv.org/abs/2105.01929
Autor:
Rožanec, Jože M., Zajec, Patrik, Kenda, Klemen, Novalija, Inna, Fortuna, Blaž, Mladenić, Dunja, Veliou, Entso, Papamartzivanos, Dimitrios, Giannetsos, Thanassis, Menesidou, Sofia Anna, Alonso, Rubén, Cauli, Nino, Recupero, Diego Reforgiato, Kyriazis, Dimosthenis, Sofianidis, Georgios, Theodoropoulos, Spyros, Soldatos, John
There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry
Externí odkaz:
http://arxiv.org/abs/2104.00983