DE FALCO, IVANOE
DE FALCO, IVANOE
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
A gradient-supported analysis of Pareto front in multi-objective extremal optimization-based processor load balancing
2025 DE FALCO, Ivanoe; Laskowski, Eryk; Olejnik, Richard; Scafuri, Umberto; Tarantino, Ernesto; Tudruj, Marek
Ante-Hoc Methods for Interpretable Deep Models: A Survey
2025 Di Marino, Antonio; Bevilacqua, Vincenzo; Ciaramella, Angelo; DE FALCO, Ivanoe; Sannino, Giovanna
Special Issue: Digital Healthcare Leveraging Edge Computing and the Internet of Things
2025 Celesti, A.; De Falco, I.; Sannino, G.; Carnevale, L.
Bridging Clinical Gaps: Multi-Dataset Integration for Reliable Multi-Class Lung Disease Classification with DeepCRINet and Occlusion Sensitivity
2024 Ullah, N.; Khan, J. A.; De Falco, I.; Sannino, G.
Cross-domain Super-Resolution in Medical Imaging
2024 Bevilacqua, V.; Di Marino, A.; Di Nardo, E.; Ciaramella, A.; De Falco, I.; Sannino, G.
Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges
2024 Ullah, Naeem; Khan, Javed Ali; De Falco, Ivanoe; Sannino, Giovanna
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine
2024 DE FALCO, Ivanoe; Della Cioppa, A; Koutny, T; Scafuri, U; Tarantino, E
NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks
2024 Custode, L. L.; De Falco, I.; Della Cioppa, A.; Iacca, G.; Scafuri, U.
Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment
2024 Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna
Voice signals database of ALS patients with different dysarthria severity and healthy controls
2024 Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Salvatore, Elena; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
2023 DE FALCO, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Ubl, Martin; Krcma, Michal; Scafuri, Umberto; Tarantino, Ernesto
A Novel Deep Learning Approach for Colon and Lung Cancer Classification Using Histopathological Images
2023 Ullah, Naeem; DE FALCO, Ivanoe; Sannino, Giovanna
AI4Health 2023 Workshop
2023 Sannino, G.; De Falco, I.; Celesti, A.; Carnevale, L.; Silva, E. F.
Intelligent Systems for Clinical Care and Remote Patient Monitoring
2023 Sannino, Giovanna; Celesti, Antonio; DE FALCO, Ivanoe
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes
2023 Della Cioppa, A; DE FALCO, Ivanoe; Koutny, T; Scafuri, U; Ubl, M; Tarantino, E
Special Issue "Advances in Machine and Deep Learning in the Health Domain"
2023 Celesti, Antonio; De Falco, Ivanoe; Galletta, Antonino; Sannino, Giovanna
A Two-Step Approach for Classification in Alzheimer's Disease
2022 De Falco, I; De Pietro, G; Sannino, G
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models
2022 DE FALCO, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Scafuri, Umberto; Tarantino, Ernesto; Ubl, Martin
Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment
2022 DE FALCO, Ivanoe; Della Cioppa, Antonio; Scafuri, Umberto; Tarantino, Ernesto
Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach
2022 De Falco, I; De Pietro, G; Sannino, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A gradient-supported analysis of Pareto front in multi-objective extremal optimization-based processor load balancing | 1-gen-2025 | DE FALCO, Ivanoe; Laskowski, Eryk; Olejnik, Richard; Scafuri, Umberto; Tarantino, Ernesto; Tudruj, Marek | |
| Ante-Hoc Methods for Interpretable Deep Models: A Survey | 1-gen-2025 | Di Marino, Antonio; Bevilacqua, Vincenzo; Ciaramella, Angelo; DE FALCO, Ivanoe; Sannino, Giovanna | |
| Special Issue: Digital Healthcare Leveraging Edge Computing and the Internet of Things | 1-gen-2025 | Celesti, A.; De Falco, I.; Sannino, G.; Carnevale, L. | |
| Bridging Clinical Gaps: Multi-Dataset Integration for Reliable Multi-Class Lung Disease Classification with DeepCRINet and Occlusion Sensitivity | 1-gen-2024 | Ullah, N.; Khan, J. A.; De Falco, I.; Sannino, G. | |
| Cross-domain Super-Resolution in Medical Imaging | 1-gen-2024 | Bevilacqua, V.; Di Marino, A.; Di Nardo, E.; Ciaramella, A.; De Falco, I.; Sannino, G. | |
| Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges | 1-gen-2024 | Ullah, Naeem; Khan, Javed Ali; De Falco, Ivanoe; Sannino, Giovanna | |
| Model-Free-Communication Federated Learning: Framework and application to Precision Medicine | 1-gen-2024 | DE FALCO, Ivanoe; Della Cioppa, A; Koutny, T; Scafuri, U; Tarantino, E | |
| NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks | 1-gen-2024 | Custode, L. L.; De Falco, I.; Della Cioppa, A.; Iacca, G.; Scafuri, U. | |
| Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment | 1-gen-2024 | Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna | |
| Voice signals database of ALS patients with different dysarthria severity and healthy controls | 1-gen-2024 | Dubbioso, Raffaele; Spisto, Myriam; Verde, Laura; Virginia Iuzzolino, Valentina; Senerchia, Gianmaria; Salvatore, Elena; DE PIETRO, Giuseppe; DE FALCO, Ivanoe; Sannino, Giovanna | |
| A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction | 1-gen-2023 | DE FALCO, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Ubl, Martin; Krcma, Michal; Scafuri, Umberto; Tarantino, Ernesto | |
| A Novel Deep Learning Approach for Colon and Lung Cancer Classification Using Histopathological Images | 1-gen-2023 | Ullah, Naeem; DE FALCO, Ivanoe; Sannino, Giovanna | |
| AI4Health 2023 Workshop | 1-gen-2023 | Sannino, G.; De Falco, I.; Celesti, A.; Carnevale, L.; Silva, E. F. | |
| Intelligent Systems for Clinical Care and Remote Patient Monitoring | 1-gen-2023 | Sannino, Giovanna; Celesti, Antonio; DE FALCO, Ivanoe | |
| Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes | 1-gen-2023 | Della Cioppa, A; DE FALCO, Ivanoe; Koutny, T; Scafuri, U; Ubl, M; Tarantino, E | |
| Special Issue "Advances in Machine and Deep Learning in the Health Domain" | 1-gen-2023 | Celesti, Antonio; De Falco, Ivanoe; Galletta, Antonino; Sannino, Giovanna | |
| A Two-Step Approach for Classification in Alzheimer's Disease | 1-gen-2022 | De Falco, I; De Pietro, G; Sannino, G | |
| An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models | 1-gen-2022 | DE FALCO, Ivanoe; Della Cioppa, Antonio; Koutny, Tomas; Scafuri, Umberto; Tarantino, Ernesto; Ubl, Martin | |
| Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment | 1-gen-2022 | DE FALCO, Ivanoe; Della Cioppa, Antonio; Scafuri, Umberto; Tarantino, Ernesto | |
| Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach | 1-gen-2022 | De Falco, I; De Pietro, G; Sannino, G |