Listar IMDEA Networks por autor "Paraschiv, Marius"

Mostrando ítems 1-7 de 7

A Unified Graph-Based Approach to Disinformation Detection using Contextual and Semantic Relations

Paraschiv, Marius; Laoutaris, Nikolaos; Salamanos, Nikos; Iordanou, Costas; Sirivianos, Michael (2022-06-16)
conference object
Classification of Underwater Fish Images and Videos via Very Small Convolutional Neural Networks

Paraschiv, Marius; Padrino, Ricardo; Casari, Paolo; Bigal, Eyal; Scheinin, Aviad; Tchernov, Dan; Fernández Anta, Antonio (MDPI, 2022-05-27)
journal article
Computing the Relative Value of Spatio-Temporal Data in Data Marketplaces

Andres, Santiago; Paraschiv, Marius; Laoutaris, Nikolaos (2022-11)
conference object
HyperGraphDis: Leveraging Hypergraphs for Contextual and Social-Based Disinformation Detection

Salamanos, Nikos; Leonidou, Pantelitsa; Laoutaris, Nikolaos; Sirivianos, Michael; Aspri, Maria; Paraschiv, Marius (2024-06-03)
conference object
Mis-shapes, Mistakes, Misfits: An Analysis of Domain Classification Services

Vallina, Pelayo; Le Pochat, Victor; Feal, Álvaro; Paraschiv, Marius; Gamba, Julien; Burke, Time; Oliver, Hohlfeld; Tapiador, Juan; Vallina-Rodriguez, Narseo (2020-10-27)
conference object
RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks

Meuser, Tobias; Weil, Jannis; Lahiri, Aninda; Paraschiv, Marius (2025-12)
journal article
Very Small Neural Networks for Optical Classification of Fish Images and Videos

Paraschiv, Marius; Padrino, Ricardo; Casari, Paolo; Fernández Anta, Antonio (2020-10-05)
conference object