- Davide Maltoni, Lorenzo Pellegrini:
Continual Learning by Three-Phase Consolidation. CoRR abs/2403.14679 (2024) - Davide Caffagni, Federico Cocchi, Nicholas Moratelli, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs. CoRR abs/2404.15406 (2024) - David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning. CoRR abs/2404.16417 (2024) - Ulrich Römer, Stefan Hartmann, Jendrik-Alexander Tröger, David Anton, Henning Wessels, Moritz Flaschel, Laura De Lorenzis:
Reduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics. CoRR abs/2404.16980 (2024) - Lorenzo Pisu, Davide Maiorca, Giorgio Giacinto:
A Survey of the Overlooked Dangers of Template Engines. CoRR abs/2405.01118 (2024) - Miquel Kegeleirs, David Garzón-Ramos, Guillermo Legarda Herranz, Ilyes Gharbi, Jeanne Szpirer, Ken Hasselmann, Lorenzo Garattoni, Gianpiero Francesca, Mauro Birattari:
Leveraging swarm capabilities to assist other systems. CoRR abs/2405.04079 (2024) - Yigitcan Kaya, Yizheng Chen, Shoumik Saha, Fabio Pierazzi, Lorenzo Cavallaro, David Wagner, Tudor Dumitras:
Demystifying Behavior-Based Malware Detection at Endpoints. CoRR abs/2405.06124 (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) - Laura Arbelaez Ossa, Michael Rost, Giorgia Lorenzini, David M. Shaw, Bernice Simone Elger:
A smarter perspective: Learning with and from AI-cases. Artif. Intell. Medicine 135: 102458 (2023) - Alvise Spanò, Lorenzo Fanton, Davide Pizzolato, Jacopo Moi, Francesco Vinci, Alberto Pesce, Cedrix Jurgal Dongmo Foumthuim, Achille Giacometti, Marta Simeoni:
Rinmaker: a fast, versatile and reliable tool to determine residue interaction networks in proteins. BMC Bioinform. 24(1): 336 (2023) - Juan Carlos Domínguez, David Lorenzo, Julián García, Cynthia Hopson, Victoria Rigual, M. Virginia Alonso, Mercedes Oliet:
MATLAB applications for teaching Applied Thermodynamics: Thermodynamic cycles. Comput. Appl. Eng. Educ. 31(4): 900-915 (2023) - Alessia Rondinella, Elena Crispino, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Clara Di Lorenzo, Davide Maimone, Francesco Pappalardo, Sebastiano Battiato:
Boosting multiple sclerosis lesion segmentation through attention mechanism. Comput. Biol. Medicine 161: 107021 (2023) - Sabrina Schoenborn, T. Lorenz, K. Kuo, David F. Fletcher, Maria A. Woodruff, S. Pirola, Mark C. Allenby:
Fluid-structure interactions of peripheral arteries using a coupled in silico and in vitro approach. Comput. Biol. Medicine 165: 107474 (2023) - Francesco Cesarone, Lorenzo Lampariello, Davide Merolla, Jacopo M. Ricci, Simone Sagratella, Valerio Giuseppe Sasso:
A bilevel approach to ESG multi-portfolio selection. Comput. Manag. Sci. 20(1): 24 (2023) - Kfir Toledo, David Breitgand, Dean H. Lorenz, Isaac Keslassy:
CloudPilot: Flow acceleration in the cloud. Comput. Networks 224: 109610 (2023) - Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski:
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. 55(6): 121:1-121:36 (2023) - Wolfgang Grote-Ramm, David Lanuschny, Finn Lorenzen, Marcel Oliveira Brito, Felix Schönig:
Continual learning for neural regression networks to cope with concept drift in industrial processes using convex optimisation. Eng. Appl. Artif. Intell. 120: 105927 (2023) - Davide Lombardo, Elisa Lorenzo García, Christophe Ritzenthaler, Jeroen Sijsling:
Decomposing Jacobians Via Galois covers. Exp. Math. 32(1): 218-240 (2023) - Lorenzo Pellegrini, Davide Maltoni, Gabriele Graffieti, Vincenzo Lomonaco, Lisa Mazzini, Marco Mondardini, Milena Zappoli:
A weakly supervised approach for recycling code recognition. Expert Syst. Appl. 215: 119282 (2023) - Davide Mulfari, Lorenzo Carnevale, Massimo Villari:
Toward a lightweight ASR solution for atypical speech on the edge. Future Gener. Comput. Syst. 149: 455-463 (2023) - Davide Berardi, Franco Callegati, Andrea Giovine, Andrea Melis, Marco Prandini, Lorenzo Rinieri:
When Operation Technology Meets Information Technology: Challenges and Opportunities. Future Internet 15(3): 95 (2023) - Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi:
Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications. Future Internet 15(11): 358 (2023) - Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael G. Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox:
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers Artif. Intell. 6 (2023) - Pradeep G. Siddheshwar, Ruwaidiah Idris, Kanchana C., David Laroze:
Rayleigh-Bénard Convection of Water-Copper and Water-Alumina Nanofluids Based on Minimal- and Higher-Mode Lorenz Models. Int. J. Bifurc. Chaos 33(9): 2350104:1-2350104:13 (2023) - Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - Lorenzo Parenti, Adam Wojciech Lukomski, Davide De Tommaso, Marwen Belkaid, Agnieszka Wykowska:
Human-Likeness of Feedback Gestures Affects Decision Processes and Subjective Trust. Int. J. Soc. Robotics 15(8): 1419-1427 (2023) - Amelia L. M. Tan, Emily J. Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez-Sacristán, Trang T. Le, Arianna Dagliati, Michele Morris, David A. Hanauer, Bertrand Moal, Clara-Lea Bonzel, William Yuan, Lorenzo Chiudinelli, Priam Das, Harrison G. Zhang, Bruce J. Aronow, Paul Avillach, Gabriel A. Brat, Tianxi Cai, Chuan Hong, William G. La Cava, He Hooi Will Loh, Yuan Luo, Shawn N. Murphy, Kee Yuan Hgiam, Gilbert S. Omenn, Lav P. Patel, Malarkodi J. Samayamuthu, Emily R. Shriver, Zahra Shakeri Hossein Abad, Byorn W. L. Tan, Shyam Visweswaran, Xuan Wang, Griffin M. Weber, Zongqi Xia, Bertrand Verdy, Qi Long, Danielle L. Mowery, John H. Holmes:
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? J. Biomed. Informatics 139: 104306 (2023) - Filippo Cugini, Davide Scano, Alessio Giorgetti, Andrea Sgambelluri, Lorenzo De Marinis, Piero Castoldi, Francesco Paolucci:
Telemetry and AI-based security P4 applications for optical networks [Invited]. JOCN 15(1): A1-A10 (2023) - David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller:
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105(2) (2023)