Archivio Istituzionale della RicercaJAHIER PAGLIARI, DANIELE
JAHIER PAGLIARI, DANIELE
Dipartimento di Automatica e Informatica
035148
Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach
In corso di stampa Albu, Andrei Mihai; Pollo, Giovanni; Burrello, Alessio; Jahier Pagliari, Daniele; Tesconi, Cristian; Neri, Alessandra; Soldi, Dario; Autieri, Fabio; Vinco, Sara
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
2025 Daghero, Francesco; Burrello, Alessio; Poncino, Massimo; Macii, Enrico; Jahier Pagliari, Daniele
Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
2025 Pollo, Giovanni; Albu, Andrei Mihai; Burrello, Alessio; Pagliari, Daniele Jahier; Tesconi, Cristian; Panaro, Loris; Soldi, Dario; Autieri, Fabio; Vinco, Sara
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data
2025 Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste Bove, Jean; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele; Maffeis, Giuseppe
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction
2025 Pollo, Giovanni; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; Pagliari, Daniele Jahier
EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation
2025 Benfenati, Luca; Belloni, Sofia; Burrello, Alessio; Kasnesis, Panagiotis; Wang, Xiaying; Benini, Luca; Poncino, Massimo; Macii, Enrico; Pagliari, Daniele Jahier
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design
2025 Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, Pietro; Isoldi, Matteo; Chen, Yukai; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele; Vinco, Sara
POSTER: V-Seek: Optimizing LLM Reasoning on A Server-Class General-Purpose RISC-V Platform
2025 Poveda Rodrigo, Javier Jesus; Hamdi, Mohamed Amine; Koenig, Cyril; Burrello, Alessio; Jahier Pagliari, Daniele; Benini, Luca
Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning
2025 Daghero, Francesco; Faraone, Gabriele; Serianni, Eugenio; Di Carolo, Nicola; Licastro, Dario; Franchino, Giovanna Antonella; Grosso, Michelangelo; Pagliari, Daniele Jahier
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones
2024 Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques
2024 Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.
AMBEATion: New Algorithm for Generation IC Matched Structures with Respecting Linear and Non-linear Gradient Parameter Effects
2024 Barri, Dalibor; Vacula, Patrik; Kotě, Vlastimil; Nemazal, Jan; Vacula, Miloš; Pagliari, Daniele Jahier; Daghero, Francesco; Risso, Matteo; Xie, Chen; Grosso, Michelangelo
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
2024 Benfenati, Luca; Mar Ingolfsson, Thorir; Cossettini, Andrea; Jahier Pagliari, Daniele; Burrello, Alessio; Benini, Luca
Black-Boxing GNSS Signals Post-Processing Through Machine Learning for Multi-Agent Collaborative Positioning of IoT Devices
2024 Minetto, Alex; Jahier-Pagliari, Daniele; Rotunno, Angela
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization
2024 Ruggeri, Giuseppe; Andri, Renzo; Pagliari, Daniele Jahier; Cavigelli, Lukas
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays
2024 Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices
2024 Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele
Machine Learning-based feasibility estimation of digital blocks in BCD technology
2024 Daghero, Francesco; Faraone, Gabriele; Grosso, Michelangelo; Pagliari, Daniele Jahier; Di Carolo, Nicola; Franchino, Giovanna Antonella; Licastro, Dario; Serianni, Eugenio
Model-Driven Feature Engineering for Data-Driven Battery SOH Model
2024 Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
2024 Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach / Albu, Andrei Mihai; Pollo, Giovanni; Burrello, Alessio; Jahier Pagliari, Daniele; Tesconi, Cristian; Neri, Alessandra; Soldi, Dario; Autieri, Fabio; Vinco, Sara. - (In corso di stampa). (Intervento presentato al convegno Design and Verification Conference and Exhibition Europe tenutosi a Munich (DEU) nel October 14-15, 2025). | In corso di stampa | Andrei Mihai AlbuGiovanni PolloAlessio BurrelloDaniele Jahier PagliariSara Vinco + | 2508.20223v1.pdf |
| Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices / Daghero, Francesco; Burrello, Alessio; Poncino, Massimo; Macii, Enrico; Jahier Pagliari, Daniele. - STAMPA. - 15226:(2025), pp. 46-58. (Intervento presentato al convegno 24nd International Conference, SAMOS 2024 tenutosi a Samos (GRC) nel June 29 – July 4, 2024) [10.1007/978-3-031-78377-7_4]. | 1-gen-2025 | Daghero, FrancescoBurrello, AlessioPoncino, MassimoMacii, EnricoJahier Pagliari, Daniele | post-print.pdf; 978-3-031-78377-7_4.pdf |
| Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design / Pollo, Giovanni; Albu, Andrei Mihai; Burrello, Alessio; Pagliari, Daniele Jahier; Tesconi, Cristian; Panaro, Loris; Soldi, Dario; Autieri, Fabio; Vinco, Sara. - (2025), pp. 1-9. (Intervento presentato al convegno Forum on specification & Design Languages (FDL) 2025 tenutosi a St. Goar (DEU) nel 10-12 September 2025) [10.1109/fdl68117.2025.11165273]. | 1-gen-2025 | Pollo, GiovanniAlbu, Andrei MihaiBurrello, AlessioPagliari, Daniele JahierVinco, Sara + | Automatic_integration_of_SystemC_in_the_FMI_standard_for_Software-defined_Vehicle_design.pdf; 2508.19665v1.pdf |
| Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data / Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste Bove, Jean; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele; Maffeis, Giuseppe. - ELETTRONICO. - (2025). (Intervento presentato al convegno International Conference on Image Processing, Applications and Systems (IPAS) tenutosi a Lyon (FRA) nel 09-11 January 2025) [10.1109/IPAS63548.2025.10924534]. | 1-gen-2025 | Matteo RissoBeatrice Alessandra MotettiAlessio BurrelloEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Building_Damage_Assessment_in_Conflict_Zones_A_Deep_Learning_Approach_Using_Geospatial_Sub-Meter_Resolution_Data.pdf; 2410.04802v1.pdf |
| Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction / Pollo, Giovanni; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; Pagliari, Daniele Jahier. - (2025), pp. 1-7. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition tenutosi a Lyon (FRA) nel 31 March 2025 - 02 April 2025) [10.23919/date64628.2025.10993233]. | 1-gen-2025 | Pollo, GiovanniBurrello, AlessioMacii, EnricoPoncino, MassimoVinco, SaraPagliari, Daniele Jahier | Coupling_Neural_Networks_and_Physics_Equations_For_Li-Ion_Battery_State-of-Charge_Prediction.pdf; 2412.16724v1.pdf |
| EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation / Benfenati, Luca; Belloni, Sofia; Burrello, Alessio; Kasnesis, Panagiotis; Wang, Xiaying; Benini, Luca; Poncino, Massimo; Macii, Enrico; Pagliari, Daniele Jahier. - ELETTRONICO. - (2025), pp. 1-5. (Intervento presentato al convegno 2025 IEEE 7th International Conference on Artificial Intelligence Circuits and Systems (AICAS) tenutosi a Bordeaux (FRA) nel 28-30 April 2025) [10.1109/aicas64808.2025.11173112]. | 1-gen-2025 | Benfenati, LucaBelloni, SofiaBurrello, AlessioBenini, LucaPoncino, MassimoMacii, EnricoPagliari, Daniele Jahier + | enhancePPG_fullpaper_closed.pdf; enhancePPG_fullpaper_open.pdf |
| MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design / Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, Pietro; Isoldi, Matteo; Chen, Yukai; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele; Vinco, Sara. - (2025). (Intervento presentato al convegno ISLPED 2025 IEEE/ACM International Symposium on Low Power Electronics and Design tenutosi a Reykjavik (ISL) nel August 6 - 8, 2025). | 1-gen-2025 | Giovanni PolloMohamed Amine HamdiMatteo RissoLorenzo RuotoloAlessio BurrelloEnrico MaciiMassimo PoncinoDaniele Jahier PagliariSara Vinco + | 2505.16682v1.pdf |
| POSTER: V-Seek: Optimizing LLM Reasoning on A Server-Class General-Purpose RISC-V Platform / Poveda Rodrigo, Javier Jesus; Hamdi, Mohamed Amine; Koenig, Cyril; Burrello, Alessio; Jahier Pagliari, Daniele; Benini, Luca. - 1:(2025), pp. 224-225. (Intervento presentato al convegno CF '25: 22nd ACM International Conference on Computing Frontiers tenutosi a Cagliari (ITA) nel May 28 - 30, 2025) [10.1145/3719276.3727954]. | 1-gen-2025 | Javier Jesus Poveda RodrigoMohamed Amine HamdiAlessio BurrelloDaniele Jahier PagliariLuca Benini + | CF25___Milk_V_LLM.pdf; 3719276.3727954.pdf |
| Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning / Daghero, Francesco; Faraone, Gabriele; Serianni, Eugenio; Di Carolo, Nicola; Licastro, Dario; Franchino, Giovanna Antonella; Grosso, Michelangelo; Pagliari, Daniele Jahier. - ELETTRONICO. - (2025), pp. 60-64. (Intervento presentato al convegno 23rd IEEE Interregional NEWCAS Conference, NEWCAS 2025 tenutosi a Paris (FR) nel 22-25 June 2025) [10.1109/newcas64648.2025.11107059]. | 1-gen-2025 | Daghero, FrancescoPagliari, Daniele Jahier + | preprint.pdf; Predicting_Digital_Layout_Success_in_Analog-on-Top_Designs_Using_Machine_Learning.pdf |
| Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones / Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference, 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024) [10.23919/DATE58400.2024.10546577]. | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoJahier Pagliari, DanieleBurrello, Alessio + | Arxiv_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf; IEEE_Xplore_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf |
| AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques / Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Daghero F.Grosso M.Jahier Pagliari D.Risso M.Xie C. + | AMBEATion_Analog_Mixed-Signal_Back-End_Design_Automation_with_Machine_Learning_and_Artificial_Intelligence_Techniques.pdf; AMBEATion___DATE_MPP.pdf |
| AMBEATion: New Algorithm for Generation IC Matched Structures with Respecting Linear and Non-linear Gradient Parameter Effects / Barri, Dalibor; Vacula, Patrik; Kotě, Vlastimil; Nemazal, Jan; Vacula, Miloš; Pagliari, Daniele Jahier; Daghero, Francesco; Risso, Matteo; Xie, Chen; Grosso, Michelangelo. - ELETTRONICO. - (2024), pp. 1-4. (Intervento presentato al convegno International Conference on Applied Electronics tenutosi a Pilsen (CZ) nel 4-5 October 2024) [10.1109/ae61743.2024.10710229]. | 1-gen-2024 | Pagliari, Daniele JahierDaghero, FrancescoRisso, MatteoGrosso, Michelangelo + | AMBEATion_New_Algorithm_for_Generation_IC_Matched_Structures_with_Respecting_Linear_and_Non-linear_Gradient_Parameter_Effects.pdf |
| BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring / Benfenati, Luca; Mar Ingolfsson, Thorir; Cossettini, Andrea; Jahier Pagliari, Daniele; Burrello, Alessio; Benini, Luca. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) tenutosi a Orlando (USA) nel 15-19 July 2024) [10.1109/EMBC53108.2024.10782289]. | 1-gen-2024 | Benfenati,LucaJahier Pagliari,DanieleBurrello,AlessioBenini,Luca + | Transformer_Seizure_Detection____EMBC_2024_IRIS.pdf; BISeizuRe_BERT-Inspired_Seizure_Data_Representation_to_Improve_Epilepsy_Monitoring.pdf |
| Black-Boxing GNSS Signals Post-Processing Through Machine Learning for Multi-Agent Collaborative Positioning of IoT Devices / Minetto, Alex; Jahier-Pagliari, Daniele; Rotunno, Angela. - ELETTRONICO. - (2024), pp. 589-603. (Intervento presentato al convegno 2024 International Technical Meeting of The Institute of Navigation tenutosi a Long Beach, California (USA) nel January 23 - 25, 2024) [10.33012/2024.19566]. | 1-gen-2024 | Minetto, AlexJahier-Pagliari, DanieleRotunno, Angela | ITM24-0047.pdf.pdf; ION_s_ITM_2024_ML_for_cooperative_Minetto_Jahier_Rotunno_v1.pdf |
| Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization / Ruggeri, Giuseppe; Andri, Renzo; Pagliari, Daniele Jahier; Cavigelli, Lukas. - ELETTRONICO. - (2024), pp. 517-520. (Intervento presentato al convegno 2024 IEEE 42nd International Conference on Computer Design (ICCD) tenutosi a Milano (Italia) nel 18-20 November 2024) [10.1109/iccd63220.2024.00085]. | 1-gen-2024 | Ruggeri, GiuseppePagliari, Daniele Jahier + | Deep_Recommender_Models_Inference_Automatic_Asymmetric_Data_Flow_Optimization.pdf |
| HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays / Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Risso M.Xie C.Daghero F.Burrello A.Mollaei S.MacIi E.Poncino M.Daniele Jahier Pagliari + | HW-SW_Optimization_of_DNNs_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.pdf; 2402.01226v1.pdf |
| Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices / Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 51-54. (Intervento presentato al convegno Computing Frontiers Open-Source Hardware Workshop tenutosi a Ischia (ITA) nel May 7 - 9, 2024) [10.1145/3637543.3652873]. | 1-gen-2024 | Mohamed Amine HamdiGiovanni PolloMatteo RissoAlessio BurrelloEnrico MaciiMassimo PoncinoSara VincoDaniele Jahier Pagliari + | 2404.01861.pdf; 3637543.3652873.pdf |
| Machine Learning-based feasibility estimation of digital blocks in BCD technology / Daghero, Francesco; Faraone, Gabriele; Grosso, Michelangelo; Pagliari, Daniele Jahier; Di Carolo, Nicola; Franchino, Giovanna Antonella; Licastro, Dario; Serianni, Eugenio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems, DTTIS 2024 tenutosi a Aix-En-Provence, France nel 14-16 October 2024) [10.1109/dttis62212.2024.10780062]. | 1-gen-2024 | Daghero, FrancescoGrosso, MichelangeloPagliari, Daniele Jahier + | Machine_Learning-based_feasibility_estimation_of_digital_blocks_in_BCD_technology.pdf; 2410.07989v1.pdf |
| Model-Driven Feature Engineering for Data-Driven Battery SOH Model / Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo. - STAMPA. - (2024). (Intervento presentato al convegno Design, Automation and Test in Europe Conference 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Khaled AlaminDaniele Jahier PagliariYukai ChenEnrico MaciiSara VincoMassimo Poncino | Model-Driven_Feature_Engineering.pdf; Model-Driven_Feature_Engineering_for_Data-Driven_Battery_SOH_Model.pdf |
| Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables / Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - (2024), pp. 1-5. (Intervento presentato al convegno Biomedical Circuits and Systems Conference (BIOCAS) 2024 tenutosi a Xi'an (CHN) nel 24-26 October 2024) [10.1109/BioCAS61083.2024.10798404]. | 1-gen-2024 | Alessio BurrelloGiovanni PolloMassimo PoncinoEnrico MaciiLuca BeniniDaniele Jahier Pagliari + | PPG_BP_BioCAS2024.pdf; Optimization_and_Deployment_of_Deep_Neural_Networks_for_PPG-based_Blood_Pressure_Estimation_Targeting_Low-power_Wearables.pdf |