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ORCIDCarlo Ricciardi
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2020 – today
- 2024
[j20]Alessandra Franco, Michela Russo
, Marianna Amboni, Alfonso Maria Ponsiglione, Federico Di Filippo, Maria Romano, Francesco Amato, Carlo Ricciardi:
The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review. Sensors 24(18): 5957 (2024)- 2023
- [j19]Carlo Ricciardi, Marta Rosaria Marino, Teresa Angela Trunfio, Massimo Majolo, Maria Romano, Francesco Amato, Giovanni Improta:
Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study. Frontiers Digit. Health 5 (2023) - [j18]Francesca Angelone, Alfonso Maria Ponsiglione, Carlo Ricciardi, Giuseppe Cesarelli, Mario Sansone, Francesco Amato:
Diagnostic Applications of Intraoral Scanners: A Systematic Review. J. Imaging 9(7): 134 (2023) - [j17]Michela Russo, Marianna Amboni, Paolo Barone, Maria Teresa Pellecchia, Maria Romano, Carlo Ricciardi, Francesco Amato:
Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson's Disease. Sensors 23(4): 1985 (2023) - [j16]Alfonso Maria Ponsiglione, Carlo Ricciardi, Enzo Bonora, Francesco Amato, Maria Romano:
Impact of the Number of Needle Tip Bevels on the Exerted Forces and Energy in Insulin Pen Injections. Sensors 23(19): 8043 (2023) - [j15]Carlo Ricciardi, Noemi Pisani, Leandro Donisi, Filomena Abate, Marianna Amboni, Paolo Barone, Marina Picillo, Mario Cesarelli, Francesco Amato:
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy. Sensors 23(24): 9859 (2023) - [c16]Riccardo Forni, Giacomo Pavan, Arnar Evgení Gunnarsson, Carlo Ricciardi, Cristiana Corsi, Paolo Gargiulo:
Advanced 3D Printing of Patient-Specific Human Heart for Improved Surgical Planning. MetroXRAINE 2023: 473-478 - [c15]Noemi Pisani, Carlo Ricciardi, Marina Picillo, Filomena Abate, Anna Rosa Avallone, Francesco Amato, Mario Cesarelli:
Using Wearable Sensors and Motion Parameters for Recognizing Progressive Supranuclear Palsy Phenotypes. MetroXRAINE 2023: 864-869 - [c14]Marco Recenti, Lorena Guerrini, Alessia Lindemann, Simona Pierucci, Carlo Ricciardi, Alfonso Maria Ponsiglione, Hannes Petersen, Paolo Gargiulo:
Heart Rate Variability During a Complex Postural Control Task with the BioVRSea Paradigm. MetroXRAINE 2023: 876-881 - [c13]Michela Russo, Carlo Ricciardi, Marianna Amboni, Antonio Volzone, Paolo Barone, Maria Romano, Francesco Amato:
A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters. MetroXRAINE 2023: 882-887 - [c12]Gianluca Milano, Tushar Chakrabarty, Carlo Ricciardi:
Mackey-Glass Time Series Forecasting by Nanowire Networks. MetroXRAINE 2023: 989-994 - 2022
- [j14]Kevin Montano, Gianluca Milano, Carlo Ricciardi:
Grid-graph modeling of emergent neuromorphic dynamics and heterosynaptic plasticity in memristive nanonetworks. Neuromorph. Comput. Eng. 2(1): 14007 (2022) - [j13]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j12]Gianluca Milano, Enrique Miranda, Carlo Ricciardi:
Connectome of memristive nanowire networks through graph theory. Neural Networks 150: 137-148 (2022) - [j11]Alfonso Maria Ponsiglione, Carlo Ricciardi, Francesco Amato, Mario Cesarelli, Giuseppe Cesarelli, Giovanni D'Addio:
Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease. Sensors 22(5): 1708 (2022) - [c11]Gianluca Milano, Matteo Agliuzza, Natascia De Leo, Carlo Ricciardi:
Speech recognition through physical reservoir computing with neuromorphic nanowire networks. IJCNN 2022: 1-6 - [c10]Sarah Adamo, Carlo Ricciardi, Pasquale Ambrosino, Mauro Maniscalco, Arcangelo Biancardi, Giuseppe Cesarelli, Leandro Donisi, Giovanni D'Addio:
Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes. MeMeA 2022: 1-5 - [c9]Francesca Angelone, Carlo Ricciardi, Gianluca Gatta, Mario Sansone, Alfonso Maria Ponsiglione, Maria Paola Belfiore, Francesco Amato, Roberto Grassi:
Breast Density Analysis on Mammograms: Application of Machine Learning with Textural Features. MetroXRAINE 2022: 295-300 - [c8]Carlo Ricciardi, Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Gianmaria De Tommasi, Mario Cesarelli, Maria Romano, Giovanni Improta, Francesco Amato:
Combining simulation and machine learning for the management of healthcare systems. MetroXRAINE 2022: 335-339 - [c7]Michela Russo, Carlo Ricciardi, Marianna Amboni, Marina Picillo, Gianluca Ricciardelli, Filomena Abate, Maria Francesca Tepedino, Maria Consiglia Calabrese, Mario Cesarelli, Maria Romano:
Performing a short sway to distinguish Parkinsonisms. MetroXRAINE 2022: 340-345 - 2021
- [j10]Leandro Donisi, Giuseppe Cesarelli, Anna Castaldo, Davide Raffaele De Lucia, Francesca Nessuno, Gaia Spadarella, Carlo Ricciardi:
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset. J. Imaging 7(10): 215 (2021) - [j9]Marco Recenti, Carlo Ricciardi, Kyle Joseph Edmunds, Magnús Kjartan Gíslason, Sigurdur Sigurdsson, Ugo Carraro, Paolo Gargiulo:
Healthy Aging Within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and Hypertension. IEEE J. Biomed. Health Informatics 25(6): 2103-2112 (2021) - [i2]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - 2020
- [j8]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2(8): 2000096 (2020) - [j7]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2(8): 2080071 (2020) - [j6]Carlo Ricciardi, Valeria Cantoni, Giovanni Improta, Luigi Iuppariello, Imma Latessa, Mario Cesarelli, Maria Triassi, Alberto Cuocolo:
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center. Comput. Methods Programs Biomed. 189: 105343 (2020) - [j5]Carlo Ricciardi, Giovanni Improta, Francesco Amato, Giuseppe Cesarelli, Maria Romano:
Classifying the type of delivery from cardiotocographic signals: A machine learning approach. Comput. Methods Programs Biomed. 196: 105712 (2020) - [j4]Carlo Ricciardi, Antonio Saverio Valente, Kyle Joseph Edmunds, Valeria Cantoni, Roberta Green, Antonella Fiorillo, Ilaria Picone, Stefania Santini, Mario Cesarelli:
Linear discriminant analysis and principal component analysis to predict coronary artery disease. Health Informatics J. 26(3): 2181-2192 (2020) - [j3]Arnaldo Stanzione, Carlo Ricciardi, Renato Cuocolo, Valeria Romeo, Jessica Petrone, Michela Sarnataro, Pier Paolo Mainenti, Giovanni Improta, Filippo De Rosa, Luigi Insabato, Arturo Brunetti, Simone Maurea:
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study. J. Digit. Imaging 33(4): 879-887 (2020) - [j2]Federica Amitrano, Armando Coccia, Carlo Ricciardi, Leandro Donisi, Giuseppe Cesarelli, Edda Maria Capodaglio, Giovanni D'Addio:
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment. Sensors 20(22): 6691 (2020) - [c6]Giuseppe Mainenti, Lelio Campanile, Fiammetta Marulli, Carlo Ricciardi, Antonio S. Valente:
Machine Learning Approaches for Diabetes Classification: Perspectives to Artificial Intelligence Methods Updating. IoTBDS 2020: 533-540 - [c5]Marco Recenti, Carlo Ricciardi, Romain Aubonnet, Luca Esposito, Halldór Jónsson Jr., Paolo Gargiulo:
A Regression Approach to Assess Bone Mineral Density of Patients undergoing Total Hip Arthroplasty through Gait Analysis. MeMeA 2020: 1-6 - [c4]Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giuseppe Cesarelli, Giovanni D'Addio, Paolo Barone:
Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning. MeMeA 2020: 1-6 - [c3]Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giovanni D'Addio, Sofia Cuoco, Marina Picillo, Paolo Barone, Mario Cesarelli:
Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease. MeMeA 2020: 1-6 - [c2]Carlo Ricciardi, Luigi Iuppariello, Gianluca Ricciardelli, Marianna Amboni, Giuseppe Cesarelli, Giovanni Improta, Giovanni D'Addio, Giovanni Cannaviello, Mario Cesarelli:
A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin. MeMeA 2020: 1-6
2010 – 2019
- 2019
- [j1]Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Giovanni Improta, Giampiero Volpe, Luigi Iuppariello, Gianluca Ricciardelli, Giovanni D'Addio, Carmine Vitale, Paolo Barone, Mario Cesarelli:
Using gait analysis' parameters to classify Parkinsonism: A data mining approach. Comput. Methods Programs Biomed. 180 (2019) - [c1]Irem Boybat, Cecilia Giovinazzo, Elmira Shahrabi, Igor Krawczuk, Iason Giannopoulos, Christophe Piveteau, Manuel Le Gallo, Carlo Ricciardi, Abu Sebastian, Evangelos Eleftheriou, Yusuf Leblebici:
Multi-ReRAM Synapses for Artificial Neural Network Training. ISCAS 2019: 1-5 - [i1]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. CoRR abs/1909.02438 (2019)
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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