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Found 9 papers, 2 papers with code
Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact.
Population genetics: coalescence rate and demographic parameters inference
We propose in this article a brief description of the work, over almost a decade, resulting from a collaboration between mathematicians and biologists from four different research laboratories, identifiable as the co-authors of the articles whose results are described here, and implicitely co-authors of this article, under the signature of Camille No\^us.
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
Calibration is still an important issue for user experience in Brain-Computer Interfaces (BCI).
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
Yet, to the best of our knowledge, exploiting images and sentiments is little investigated. Considering the available multimodal features from microblogs, notably, we propose in this paper an end-to-end model called deepMONITOR that is based on deep neural networks and allows quite accurate automated rumor verification, by utilizing all three characteristics: post textual and image contents, as well as sentiment.
MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks
Then, we introduce the Multimodal fusiON framework to assess message veracIty in social neTwORks (MONITOR), which exploits all message features (i. e., text, social context, and image features) by supervised machine learning.
RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020
This short technical report describes the approach submitted to the Clinical BCI Challenge-WCCI2020.
Towards modelling Ghostly DLAs
We use simple models of the spatial structure of the quasar broad line region (BLR) to investigate the properties of so-called ghostly damped Lyman-{\alpha} (DLA) systems detected in SDSS data.
Astrophysics of Galaxies
Cooling with a subsonic flow of quantum fluid
After showing that the velocity dependence can be attributed to the breaking of superfluidity within a thin shell surrounding heaters, an analytical model of forced heat transfer in a quantum flow is developed to account for the properties reported above.
Time Series Analysis
Fluid Dynamics
Other Condensed Matter
Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
Existing cosmological simulation methods lack a high degree of parallelism due to the long-range nature of the gravitational force, which limits the size of simulations that can be run at high resolution.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
