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- David H. Lorenz
Open University of Israel, Raanana, Israel - David Lorenzi
- David Lorenzo
- Matteo D. L. Dalla Vedova
aka: Matteo Davide Lorenzo Dalla Vedova - David Di Lorenzo
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Publication search results
found 979 matches
- 2024
- Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo:
On improving the efficiency of ADER methods. Appl. Math. Comput. 466: 128426 (2024) - David Conde-Caballero, Carlos A. Castillo-Sarmiento, Inmaculada Ballesteros-Yañez, Borja Rivero-Jiménez, Lorenzo Mariano-Juárez:
Microlearning through TikTok in Higher Education. An evaluation of uses and potentials. Educ. Inf. Technol. 29(2): 2365-2385 (2024) - Nicodemo Di Pasquale, Ruslan L. Davidchack, Lorenzo Rovigatti:
CLEAVING: a LAMMPS package to compute surface free energies. J. Open Source Softw. 9(94): 5886 (2024) - Leonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone:
A Method for the Characterization of the Interior of Pits From Single Spaceborne SAR Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Medical Image Anal. 91: 103029 (2024) - Miquel Kegeleirs, David Garzón-Ramos, Ken Hasselmann, Lorenzo Garattoni, Gianpiero Francesca, Mauro Birattari:
Transferability in the Automatic Off-Line Design of Robot Swarms: From Sim-to-Real to Embodiment and Design-Method Transfer Across Different Platforms. IEEE Robotics Autom. Lett. 9(3): 2758-2765 (2024) - Jonas Paul David, David Schick, Lorenz Rapp, Johannes Schick, Markus Glaser:
SensAA - Design and Verification of a Cloud-Based Wearable Biomechanical Data Acquisition System. Sensors 24(8): 2405 (2024) - Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo:
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. 12(1): 177-189 (2024) - Stefano Perna, Francesco Longo, Simona Zoffoli, Malcolm Davidson, Lorenzo Iannini, Riccardo Lanari:
A Conceptual Performance Study on a Two-Look ScanSAR Mode Configuration for the Forthcoming ROSE-L Mission. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - Davide Florini, Daniela Gandolfi, Jonathan Mapelli, Lorenzo Benatti, Paolo Pavan, Francesco Maria Puglisi:
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5117-5129 (2024) - Modesto Castrillón Santana, David Freire-Obregón, Daniel Hernández-Sosa, Oliverio J. Santana, Francisco Ortega-Zamorano, José Isern González, Javier Lorenzo-Navarro:
An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. ICPRAM 2024: 910-917 - Javier Torón-Artiles, Daniel Hernández-Sosa, Oliverio J. Santana, Javier Lorenzo-Navarro, David Freire-Obregón:
Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action. ICPRAM 2024: 79-90 - Lorenzo Battisti, Sabrina Fagioli, Alessio Ferrato, Carla Limongelli, Stefano Mastandrea, Mauro Mezzini, Davide Nardo, Giuseppe Sansonetti:
Towards Empathetic Social Robots: Investigating the Interplay between Facial Expressions and Brain Activity (short paper). IUI Workshops 2024 - Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, Andrea Rosario Beccari:
Unlocking performance portability on LUMI-G supercomputer: A virtual screening case study. IWOCL 2024: 9:1-9:4 - Alessandro Sanginario, Umberto Garlando, Mattia Barezzi, Stefano Calvo, Davide Veglia, Baravalle Lorenzo, Baravalle Giacomo, Danilo Demarchi:
FruitGuard - System for the Management, Protection, and Enhancement of the Fruit Supply Chain. LASCAS 2024: 1-5 - Lorenzo Vorabbi, Davide Maltoni, Guido Borghi, Stefano Santi:
Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay. VISIGRAPP (2): VISAPP 2024: 25-36 - Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Gianni Fenu, Fadi Boutros, Mirko Marras, Naser Damer:
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, Modesto Castrillón Santana:
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point. CoRR abs/2401.00080 (2024) - Rasoul Behravesh, David Breitgand, Dean H. Lorenz, Danny Raz:
A Practical Near Optimal Deployment of Service Function Chains in Edge-to-Cloud Networks. CoRR abs/2401.07611 (2024) - Lorenzo Vorabbi, Davide Maltoni, Guido Borghi, Stefano Santi:
Enabling On-device Continual Learning with Binary Neural Networks. CoRR abs/2401.09916 (2024) - Mirco Ciallella, Lorenzo Micalizzi, Victor Michel-Dansac, Philipp Öffner, Davide Torlo:
A high-order, fully well-balanced, unconditionally positivity-preserving finite volume framework for flood simulations. CoRR abs/2402.12248 (2024) - Davide Caffagni, Federico Cocchi, Luca Barsellotti, Nicholas Moratelli, Sara Sarto, Lorenzo Baraldi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
The (R)Evolution of Multimodal Large Language Models: A Survey. CoRR abs/2402.12451 (2024) - Cristian Tirelli, Juan Sapriza, Rubén Rodríguez Álvarez, Lorenzo Ferretti, Benoît W. Denkinger, Giovanni Ansaloni, Jose Angel Miranda Calero, David Atienza, Laura Pozzi:
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs. CoRR abs/2402.12834 (2024) - Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - Andrea Maracani, Raffaello Camoriano, Elisa Maiettini, Davide Talon, Lorenzo Rosasco, Lorenzo Natale:
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. CoRR abs/2402.16090 (2024) - David Lee, Alberto F. Martín, Kieran Ricardo:
Helmholtz preconditioning for the compressible Euler equations using mixed finite elements with Lorenz staggering. CoRR abs/2403.04095 (2024) - Davide Maltoni, Lorenzo Pellegrini:
Continual Learning by Three-Phase Consolidation. CoRR abs/2403.14679 (2024) - 2023
- Antonio Costantino Marceddu, Alessandro Aimasso, Sergio Schiavello, Bartolomeo Montrucchio, Paolo Maggiore, Matteo Davide Lorenzo Dalla Vedova:
Comprehensive Visualization of Data Generated by Fiber Bragg Grating Sensors. IEEE Access 11: 121945-121955 (2023) - Piercosma Bisconti, Davide Orsitto, Federica Fedorczyk, Fabio Brau, Marianna Capasso, Lorenzo De Marinis, Hüseyin Eken, Federica Merenda, Mirko Forti, Marco Pacini, Claudia Schettini:
Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology. AI Soc. 38(4): 1443-1452 (2023)
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