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- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran SassoIT850 papers
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- Sapienza University of RomeIT442 papers
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- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT412 papers
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- University of Naples Federico IIIT394 papers
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1,759 papers
GRINTA: a new Probe of the Dynamic Universe
Lorenzo Natalucci, Philippe Laurent, Marica Branchesi +48
Recent observations of the transient sky at all wavelengths are increasingly revealing the importance of the multi-messenger and multi-wavelength approach. The GRINTA (Gamma-Ray IN…
A Population View of the Cosmic-Ray Knee: The Role of Variance in Supernova Maximum Rigidities
Carmelo Evoli
The broad shape of the Galactic cosmic-ray knee challenges source models in which all supernova remnants share a nearly universal, sharp maximum rigidity. We investigate whether th…
Constraints on the VHE counterpart of two binary black hole mergers observed by the MAGIC and CTAO LST-1 telescopes
K. Abe, S. Abe, J. Abhir +358
We present very-high-energy gamma-ray observations of two binary black hole merger candidates, GW240615_113620 and GW241125_010116, performed with the Major Atmospheric Gamma Imagi…
Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training
Ali Tabaraei, Federico Simonetta, Stavros Ntalampiras
Automatic depression detection with deep learning has shown promise but often suffers from limited generalization due to domain shift arising from inter-speaker variability. To add…
Euclid: Calibrating distances from surface brightness fluctuations with Early Release Observations of the Fornax cluster
R. Habas, M. Cantiello, G. Riccio +169
Surface brightness fluctuations (SBF), the pixel-to-pixel variations in flux that arise from the statistical distribution of stars in galaxy images, provide a powerful tool to meas…
TrOCR for Medieval HTR: A Systematic Ablation Study with Cross-Dataset Validation
Sachin Sharma, Michele Flammini, Federico Simonetta
Fine-tuning transformer-based handwritten text recognition (HTR) models on medieval manuscripts is challenging because these models are pre-trained on modern text and must adapt to…