MUSELLI, MARCO
MUSELLI, MARCO
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
"CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence"
2023 Narteni, Sara; Carlevaro, Alberto; Dabbene, Fabrizio; Muselli, Marco; Mongelli, Maurizio
Optimizing Water Distribution through Explainable AI and Rule-Based Control
2023 Ferrari, Enrico; Verda, Damiano; Pinna, Nicolo; Muselli, Marco
Trustworthy artificial intelligence classification-based equivalent bandwidth control
2023 Narteni, Sara; Muselli, Marco; Dabbene, Fabrizio; Mongelli, Maurizio
Validation of a predictive model for obstructive sleep apnea in people with Down syndrome
2023 Skotko Brian, G; Flores Alexandra, Garza; Elsharkawi, Ibrahim; Patsiogiannis, Vasiliki; McDonough Mary, Ellen; Verda, Damiano; Muselli, Marco; Hornero, Roberto; Gozal, David; Macklin Eric, A
Weighted Mutual Information for Out-Of-Distribution Detection
2023 De Bernardi, Giacomo; Narteni, Sara; Cambiaso, Enrico; Muselli, Marco; Mongelli, Maurizio
AI & Health: Methods and Applications
2022 Paglialonga, A; Lenatti, M; Orani, V; Carlevaro, A; Narteni, S; Muselli, M; Dabbene, F; Mongelli, M
eXplainable and Reliable AI Approaches to Trustworthy AI
2022 Mongelli, Maurizio; Carlevaro, Alberto; Lenatti, Marta; Mammarella, Martina; Muselli, Marco; Narteni, Sara; Orani, Vanessa; Paglialonga, Alessia; Dabbene, Fabrizio
LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis
2022 Gerussi, Alessio; Verda, Damiano; Cappadona, Claudio; Cristoferi, Laura; Bernasconi Davide, Paolo; Bottaro, Sandro; Carbone, Marco; Muselli, Marco; Invernizzi, Pietro; Asselta, Rosanna
Machine learning in primary biliary cholangitis: A novel approach for risk stratification
2022 Gerussi, Alessio; Verda, Damiano; Bernasconi Davide, Paolo; Carbone, Marco; Komori, Atsumasa; Abe, Masanori; Inao, Mie; Namisaki, Tadashi; Mochida, Satoshi; Yoshiji, Hitoshi; Hirschfield, Gideon; Lindor, Keith; Pares, Albert; Corpechot, Christophe; Cazzagon, Nora; Floreani, Annarosa; Marzioni, Marco; Alvaro, Domenico; Vespasianigentilucci, Umberto; Cristoferi, Laura; Valsecchi Maria, Grazia; Muselli, Marco; Hansen Bettina, E; Tanaka, Atsushi; Invernizzi, Pietro
The clinical meaning of the area under a Receiver Operating Characteristic curve for the evaluation of the performance of disease markers
2022 PARODI, STEFANO; Damiano, Verda; Francesca, Bagnasco; Marco, Muselli
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge
2021 Daher Ali, Walid; Rizik, Ali; Muselli, Marco; Chible, Hussein; Caviglia Daniele, D
Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment Reprogramming
2020 Davide Cangelosi; Martina Morini; Nicolò Zanardi; Angela Rita Sementa; Marco Muselli; Massimo Conte; Alberto Garaventa; Ulrich Pfeffer; Maria Carla Bosco; Luigi Varesio; Alessandra Eva
Pedestrian and Multi-Class Vehicle Classification in Radar Systems Using Rulex Software on the Raspberry Pi
2020 Daher, Aw; Rizik, A; Randazzo, A; Tavanti, E; Chible, H; Muselli, M; D Caviglia, D
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods
2019 Verda, D; Parodi, S; Ferrari, E; Muselli, M
Performance validation of vehicle platooning through intelligible analytics
2019 Mongelli M.; Ferrari E.; Muselli M.; Fermi A.
Unsupervised learning and rule extraction for Domain Name Server tunneling detection
2019 Aiello, Maurizio; Mongelli, Maurizio; Muselli, Marco; Verda, Damiano
Analyzing gene expression data for cancer diagnosis and prognosis using Logic Learning Machine and standard supervised methods
2018 Verda, D; Parodi, S; Ferrari, E; Muselli, M
Identification of Safety Regions in Vehicle Platooning via Machine Learning
2018 E. Ferrari. A. Fermi; M. Mongelli; M. Muselli
Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables
2018 Parodi, S; Manneschi, C; Verda, D; Ferrari, E; Muselli, M
A predictive model for obstructive sleep apnea and Down syndrome
2017 Skotko Brian, G; Macklin Eric, A; Muselli, Marco; Voelz, Lauren; McDonough Mary, Ellen; Davidson, Emily; Allareddy, Veerasathpurush; Jayaratne Yasas, S N; Bruun, Richard; Ching, Nicholas; Weintraub, Gil; Gozal, David; Rosen, Dennis
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| "CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence" | 1-gen-2023 | Narteni, Sara; Carlevaro, Alberto; Dabbene, Fabrizio; Muselli, Marco; Mongelli, Maurizio | |
| Optimizing Water Distribution through Explainable AI and Rule-Based Control | 1-gen-2023 | Ferrari, Enrico; Verda, Damiano; Pinna, Nicolo; Muselli, Marco | |
| Trustworthy artificial intelligence classification-based equivalent bandwidth control | 1-gen-2023 | Narteni, Sara; Muselli, Marco; Dabbene, Fabrizio; Mongelli, Maurizio | |
| Validation of a predictive model for obstructive sleep apnea in people with Down syndrome | 1-gen-2023 | Skotko Brian, G; Flores Alexandra, Garza; Elsharkawi, Ibrahim; Patsiogiannis, Vasiliki; McDonough Mary, Ellen; Verda, Damiano; Muselli, Marco; Hornero, Roberto; Gozal, David; Macklin Eric, A | |
| Weighted Mutual Information for Out-Of-Distribution Detection | 1-gen-2023 | De Bernardi, Giacomo; Narteni, Sara; Cambiaso, Enrico; Muselli, Marco; Mongelli, Maurizio | |
| AI & Health: Methods and Applications | 1-gen-2022 | Paglialonga, A; Lenatti, M; Orani, V; Carlevaro, A; Narteni, S; Muselli, M; Dabbene, F; Mongelli, M | |
| eXplainable and Reliable AI Approaches to Trustworthy AI | 1-gen-2022 | Mongelli, Maurizio; Carlevaro, Alberto; Lenatti, Marta; Mammarella, Martina; Muselli, Marco; Narteni, Sara; Orani, Vanessa; Paglialonga, Alessia; Dabbene, Fabrizio | |
| LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis | 1-gen-2022 | Gerussi, Alessio; Verda, Damiano; Cappadona, Claudio; Cristoferi, Laura; Bernasconi Davide, Paolo; Bottaro, Sandro; Carbone, Marco; Muselli, Marco; Invernizzi, Pietro; Asselta, Rosanna | |
| Machine learning in primary biliary cholangitis: A novel approach for risk stratification | 1-gen-2022 | Gerussi, Alessio; Verda, Damiano; Bernasconi Davide, Paolo; Carbone, Marco; Komori, Atsumasa; Abe, Masanori; Inao, Mie; Namisaki, Tadashi; Mochida, Satoshi; Yoshiji, Hitoshi; Hirschfield, Gideon; Lindor, Keith; Pares, Albert; Corpechot, Christophe; Cazzagon, Nora; Floreani, Annarosa; Marzioni, Marco; Alvaro, Domenico; Vespasianigentilucci, Umberto; Cristoferi, Laura; Valsecchi Maria, Grazia; Muselli, Marco; Hansen Bettina, E; Tanaka, Atsushi; Invernizzi, Pietro | |
| The clinical meaning of the area under a Receiver Operating Characteristic curve for the evaluation of the performance of disease markers | 1-gen-2022 | PARODI, STEFANO; Damiano, Verda; Francesca, Bagnasco; Marco, Muselli | |
| Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge | 1-gen-2021 | Daher Ali, Walid; Rizik, Ali; Muselli, Marco; Chible, Hussein; Caviglia Daniele, D | |
| Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment Reprogramming | 1-gen-2020 | Davide Cangelosi; Martina Morini; Nicolò Zanardi; Angela Rita Sementa; Marco Muselli; Massimo Conte; Alberto Garaventa; Ulrich Pfeffer; Maria Carla Bosco; Luigi Varesio; Alessandra Eva | |
| Pedestrian and Multi-Class Vehicle Classification in Radar Systems Using Rulex Software on the Raspberry Pi | 1-gen-2020 | Daher, Aw; Rizik, A; Randazzo, A; Tavanti, E; Chible, H; Muselli, M; D Caviglia, D | |
| Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods | 1-gen-2019 | Verda, D; Parodi, S; Ferrari, E; Muselli, M | |
| Performance validation of vehicle platooning through intelligible analytics | 1-gen-2019 | Mongelli M.; Ferrari E.; Muselli M.; Fermi A. | |
| Unsupervised learning and rule extraction for Domain Name Server tunneling detection | 1-gen-2019 | Aiello, Maurizio; Mongelli, Maurizio; Muselli, Marco; Verda, Damiano | |
| Analyzing gene expression data for cancer diagnosis and prognosis using Logic Learning Machine and standard supervised methods | 1-gen-2018 | Verda, D; Parodi, S; Ferrari, E; Muselli, M | |
| Identification of Safety Regions in Vehicle Platooning via Machine Learning | 1-gen-2018 | E. Ferrari. A. Fermi; M. Mongelli; M. Muselli | |
| Logic Learning Machine and standard supervised methods for Hodgkin's lymphoma prognosis using gene expression data and clinical variables | 1-gen-2018 | Parodi, S; Manneschi, C; Verda, D; Ferrari, E; Muselli, M | |
| A predictive model for obstructive sleep apnea and Down syndrome | 1-gen-2017 | Skotko Brian, G; Macklin Eric, A; Muselli, Marco; Voelz, Lauren; McDonough Mary, Ellen; Davidson, Emily; Allareddy, Veerasathpurush; Jayaratne Yasas, S N; Bruun, Richard; Ching, Nicholas; Weintraub, Gil; Gozal, David; Rosen, Dennis |