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Publication search results
found 35 matches
- 2024
- Giovanna Nicora, Michele Catalano
, Chandra Bortolotto
, Marina Francesca Achilli, Gaia Messana
, Antonio Lo Tito, Alessio Consonni, Sara Cutti, Federico Comotto, Giulia Maria Stella, Angelo Corsico
, Stefano Perlini
, Riccardo Bellazzi, Raffaele Bruno, Lorenzo Preda
:
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic. J. Imaging 10(5): 117 (2024) - Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang:
Chronos: Learning the Language of Time Series. CoRR abs/2403.07815 (2024) - 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) - Giulia Festa
, Maria Stella Maggio, Lorenzo Teodonio, Claudia Scatigno
:
Ancient handwriting attribution via spectroscopic benchmarks and machine learning: 'Clavis Prophetarum' by Antonio Viera. Expert Syst. Appl. 227: 120328 (2023) - Giovanni Bonanno
, Luca Zampieri
, Giampiero Naletto
, Lorenzo Paoletti, Giuseppe Romeo
, Pietro Bruno
, Alessandro Grillo
, Gianfranco Occhipinti, Maria Cristina Timpanaro, Carmelo Gargano, Michele Fiori
, Gabriele Rodeghiero
, Giovanni Pareschi, Salvatore Scuderi, Gino Tosti:
Electronics and Detectors for the Stellar Intensity Interferometer of the ASTRI Mini-Array Telescopes. Sensors 23(24): 9840 (2023) - Vanni Nardino
, Donatella Guzzi
, Cinzia Lastri, Lorenzo Palombi
, Giulio Coluccia
, Enrico Magli
, Demetrio Labate, Valentina Raimondi
:
Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis. Sensors 23(4): 2269 (2023) - Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR abs/2301.04431 (2023) - Syama Sundar Rangapuram, Jan Gasthaus, Lorenzo Stella, Valentin Flunkert, David Salinas, Yuyang Wang, Tim Januschowski:
Deep Non-Parametric Time Series Forecaster. CoRR abs/2312.14657 (2023) - 2022
- Andreas Themelis
, Lorenzo Stella, Panagiotis Patrinos
:
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82(2): 395-440 (2022) - Serena Moscato
, Stella Lo Giudice, Giulia Massaro
, Lorenzo Chiari
:
Wrist Photoplethysmography Signal Quality Assessment for Reliable Heart Rate Estimate and Morphological Analysis. Sensors 22(15): 5831 (2022) - Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Analysis of User Click Behaviour in Online Hotel Search. IIR 2022 - Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker:
An Online Experiment of a Price-Based Re-Rank Algorithm. RecTour@RecSys 2022: 83-91 - 2021
- Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi
, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona
, Sergio Papa:
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 74: 102216 (2021) - 2020
- Massimiliano Anselmi
, Paolo Calligari
, Jochen S. Hub
, Marco Tartaglia
, Gianfranco Bocchinfuso, Lorenzo Stella
:
Structural Determinants of Phosphopeptide Binding to the N-Terminal Src Homology 2 Domain of the SHP2 Phosphatase. J. Chem. Inf. Model. 60(6): 3157-3171 (2020) - Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang:
GluonTS: Probabilistic and Neural Time Series Modeling in Python. J. Mach. Learn. Res. 21: 116:1-116:6 (2020) - Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus:
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. ICSOC Workshops 2020: 97-109 - Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski:
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS 2020 - Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola:
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference 2020: 731-737 - Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski:
Neural forecasting: Introduction and literature overview. CoRR abs/2004.10240 (2020) - Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus:
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. CoRR abs/2007.15541 (2020) - Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori, Giovanni Valbusa, Valerio Guarrasi, Chandra Bortolotto, Muhammad Usman Akbar, Rosa Sicilia, Ermanno Cordelli, Deborah Fazzini, Michaela Cellina, Giancarlo Oliva, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa:
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR abs/2012.06531 (2020) - 2019
- Lorenzo Stella
, Andreas Themelis
, Panagiotis Patrinos
:
Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 64(2): 697-711 (2019) - Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang:
GluonTS: Probabilistic Time Series Models in Python. CoRR abs/1906.05264 (2019) - 2018
- Erica Ciotta
, Paolo Prosposito
, Pietro Tagliatesta
, Chiara Lorecchio, Lorenzo Stella
, Saulius Kaciulis
, Peiman Soltani
, Ernesto Placidi
, Roberto Pizzoferrato
:
Discriminating between Different Heavy Metal Ions with Fullerene-Derived Nanoparticles. Sensors 18(5): 1496 (2018) - Andreas Themelis
, Lorenzo Stella, Panagiotis Patrinos
:
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. 28(3): 2274-2303 (2018) - Syama Sundar Rangapuram, Matthias W. Seeger, Jan Gasthaus, Lorenzo Stella, Yuyang Wang, Tim Januschowski:
Deep State Space Models for Time Series Forecasting. NeurIPS 2018: 7796-7805 - 2017
- Lorenzo Stella
, Andreas Themelis
, Panagiotis Patrinos
:
Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. 67(3): 443-487 (2017) - Lorenzo Stella, Andreas Themelis
, Pantelis Sopasakis
, Panagiotis Patrinos
:
A simple and efficient algorithm for nonlinear model predictive control. CDC 2017: 1939-1944 - Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi:
Convolutional Random Walk Networks for Semantic Image Segmentation. CVPR 2017: 6137-6145 - 2016
- Puya Latafat
, Lorenzo Stella, Panagiotis Patrinos
:
New primal-dual proximal algorithm for distributed optimization. CDC 2016: 1959-1964
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