QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1
2024 Rege Cambrin, Daniele; Garza, Paolo
Paraphrase Loss for Abstractive Summarization
2024 REGE CAMBRIN, Daniele; Garza, Paolo
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System
2024 Bizzarri, Alice; Jalaian, Brian; Riguzzi, Fabrizio; Bastian, Nathaniel D.
Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly
2024 Galassi, Kevin; Caporali, Alessio; Laudante, Gianluca; Palli, Gianluca
Monocular Estimation of Connector Orientation: Combining Deformable Linear Object Priors and Smooth Angle Classification
2024 Caporali, Alessio; Galassi, Kevin; Berselli, Giovanni; Palli, Gianluca
Runtime Test Solution for Adaptive Aging Compensation and Fail Operational Safety mode
2022 Huard, V.; Jacquet, F.; Mhira, S.; Jure, L.; Montfort, O.; Louvat, M.; Zaia, L.; Bertrand, F.; Acacia, E.; Caffin, O.; Belhadj, H.; Durand, O.; Exibard, N.; Bonnet, V.; Charvier, A.; Bernardi, P.; Cantoro, R.
Evaluating the Impact of Aging on Path-Delay Self-Test Libraries
2023 Cantoro, Riccardo; Sartoni, Sandro; Reorda, Matteo Sonza; Anghel, Lorena; Portolan, Michele
Assessing the Effectiveness of Software-Based Self-Test Programs for Static Cell-Aware Test
2024 Cantoro, Riccardo; Grosso, Michelangelo; Guglielminetti, Iacopo; Khoshzaban, Reza; Reorda, Matteo Sonza
Dialogues with digital wisdom: can LLMs help us put down the phone?
2024 De Russis, Luigi; Monge Roffarello, Alberto; Scibetta, Luca
Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning
2024 Bergamasco, Letizia; Lattanzi, Marta; Gavelli, Marco; Pastrone, Claudio; Olmo, Gabriella; Borsotti, Lucia; Parodi, Emilia
Enhancing manufacturing quality through gamification: an exploratory study in collaborative assembly process
2024 Capponi, Matteo; Culotta, Angelo Nicola; Gervasi, Riccardo; Mastrogiacomo, Luca; Franceschini, Fiorenzo
Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing
2024 Melchiorre, J.; D'Amato, L.; Agostini, F.; Manuello, A.
Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes
2024 Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca
Explainable Stacking Models based on Complementary Traffic Embeddings
2024 Gioacchini, Luca; Santos, Welton; Lopes, Barbara; Drago, Idilio; Mellia, Marco; Almeida Jussara, M.; Gonçalves Marcos, André
Enseñar el proyecto (y transformar la ciudad) en la era de la comunicación digital/ Teaching the project (and transforming the city) in the age of digital communication
2024 Mellano, P.
From Data Collection to a Cross-Cutting Analysis Visualisation: Territorial Complexity Overview to Foster Responsible Tourism in Rural Areas
2024 Aulisio, Asja; Barbero, Silvia; Barreca, Alice; Malavasi, Giorgia; Rolando, Diana
Investigating on Gradient Regularization for Testing Neural Networks
In corso di stampa Bellarmino, Nicolo; Bosio, Alberto; Cantoro, Riccardo; Ruospo, Annachiara; Sanchez, Ernesto; Squillero, Giovanni
A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images: Full/Regular Research Paper (CSCI-RTHI)
2023 Azzolini, Damiano; Bizzarri, Alice; Fraccaroli, Michele; Bertasi, Francesco; Lamma, Evelina
Evaluating therapist representation techniques in mixed reality-based tele-rehabilitation exergames
In corso di stampa Macaluso, Roberta; Visconti, Alessandro; Calandra, Davide; Ciardo, Roberto; Barresi, Giacinto; Lamberti, Fabrizio
Quantum Amplitude Loading for Rainbow Options Pricing
In corso di stampa Cibrario, Francesca; Samimi Golan, Or; Ranieri, Giacomo; Dri, Emanuele; Ippoliti, Mattia; Cohen, Ron; Mattia, Christian; Montrucchio, Bartolomeo; Naveh, Amir; Corbelletto, Davide
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1 / Rege Cambrin, Daniele; Garza, Paolo. - 21:(2024). (Intervento presentato al convegno Information Systems for Crisis Response and Management Conference tenutosi a Münster (DEU) nel May 25-29, 2024). | 1-gen-2024 | Rege Cambrin, DanieleGarza, Paolo | ISCRAM2024.pdf |
Paraphrase Loss for Abstractive Summarization / REGE CAMBRIN, Daniele; Garza, Paolo. - (2024). (Intervento presentato al convegno International Conference on Learning Representations tenutosi a Vienna (AUT) nel May 11, 2024). | 1-gen-2024 | Daniele Rege CambrinPaolo Garza | 53_Paraphrase_Loss_for_Abstrac.pdf |
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System / Bizzarri, Alice; Jalaian, Brian; Riguzzi, Fabrizio; Bastian, Nathaniel D.. - (2024), pp. 1-9. (Intervento presentato al convegno 2024 33rd International Conference on Computer Communications and Networks (ICCCN) tenutosi a Kailua-Kona, HI (USA) nel 29-31 July 2024) [10.1109/icccn61486.2024.10637618]. | 1-gen-2024 | Bizzarri, Alice + | A_Neuro-Symbolic_Artificial_Intelligence_Network_Intrusion_Detection_System.pdf |
Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly / Galassi, Kevin; Caporali, Alessio; Laudante, Gianluca; Palli, Gianluca. - (2024), pp. 518-523. (Intervento presentato al convegno IEEE International Conference on Advanced Intelligent Mechatronics (AIM) tenutosi a Boston, MA (USA) nel 15-19 July 2024) [10.1109/aim55361.2024.10637054]. | 1-gen-2024 | Kevin Galassi + | scalable.pdf; scalable.pdf |
Monocular Estimation of Connector Orientation: Combining Deformable Linear Object Priors and Smooth Angle Classification / Caporali, Alessio; Galassi, Kevin; Berselli, Giovanni; Palli, Gianluca. - (2024), pp. 799-804. (Intervento presentato al convegno IEEE International Conference on Advanced Intelligent Mechatronics (AIM) tenutosi a Boston, MA (USA) nel 15-19 July 2024) [10.1109/aim55361.2024.10637081]. | 1-gen-2024 | Kevin Galassi + | monocular-paper.pdf; monocular.pdf |
Runtime Test Solution for Adaptive Aging Compensation and Fail Operational Safety mode / Huard, V.; Jacquet, F.; Mhira, S.; Jure, L.; Montfort, O.; Louvat, M.; Zaia, L.; Bertrand, F.; Acacia, E.; Caffin, O.; Belhadj, H.; Durand, O.; Exibard, N.; Bonnet, V.; Charvier, A.; Bernardi, P.; Cantoro, R.. - (2022). (Intervento presentato al convegno 2022 IEEE International Reliability Physics Symposium (IRPS) tenutosi a Dallas, TX (USA) nel 27-31 March 2022) [10.1109/irps48227.2022.9764590]. | 1-gen-2022 | Bernardi, P.Cantoro, R. + | Runtime_Test_Solution_for_Adaptive_Aging_Compensation_and_Fail_Operational_Safety_mode.pdf |
Evaluating the Impact of Aging on Path-Delay Self-Test Libraries / Cantoro, Riccardo; Sartoni, Sandro; Reorda, Matteo Sonza; Anghel, Lorena; Portolan, Michele. - (2023). (Intervento presentato al convegno IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (DFT) 2023 tenutosi a Juan-Les-Pins (FRA) nel 03-05 October 2023) [10.1109/dft59622.2023.10313531]. | 1-gen-2023 | Cantoro, RiccardoSartoni, SandroReorda, Matteo SonzaPortolan, Michele + | _DFTS2023__Evaluating_the_Impact_of_Aging_on_Path_Delay_Self_Test_Libraries-3.pdf; Evaluating_the_Impact_of_Aging_on_Path-Delay_Self-Test_Libraries.pdf |
Assessing the Effectiveness of Software-Based Self-Test Programs for Static Cell-Aware Test / Cantoro, Riccardo; Grosso, Michelangelo; Guglielminetti, Iacopo; Khoshzaban, Reza; Reorda, Matteo Sonza. - (2024). (Intervento presentato al convegno 2024 IEEE European Test Symposium (ETS) tenutosi a The Hague (NL) nel 20-24 May 2024) [10.1109/ets61313.2024.10567198]. | 1-gen-2024 | Cantoro, RiccardoGrosso, MichelangeloKhoshzaban, RezaReorda, Matteo Sonza + | _ETS_2024__Assessing_the_Effectiveness_of_Software_Based_Self_Test_Programs_for_Static_Cell_Aware_Test-8.pdf; Assessing_the_Effectiveness_of_Software-Based_Self-Test_Programs_for_Static_Cell-Aware_Test.pdf |
Dialogues with digital wisdom: can LLMs help us put down the phone? / De Russis, Luigi; Monge Roffarello, Alberto; Scibetta, Luca. - ELETTRONICO. - (2024), pp. 56-61. (Intervento presentato al convegno ACM 4th International Conference on Information Technology for Social Good (GoodIT 2024) tenutosi a Bremen (DEU) nel 04 September 2024) [10.1145/3677525.3678640]. | 1-gen-2024 | De Russis, LuigiMonge Roffarello, AlbertoScibetta, Luca | main.pdf |
Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning / Bergamasco, Letizia; Lattanzi, Marta; Gavelli, Marco; Pastrone, Claudio; Olmo, Gabriella; Borsotti, Lucia; Parodi, Emilia. - 14849:(2024), pp. 249-263. (Intervento presentato al convegno 11th International Work-Conference on Bioinformatics and Biomedical Engineering tenutosi a Meloneras, Gran Canaria (Spain) nel July 15–17, 2024) [10.1007/978-3-031-64636-2_19]. | 1-gen-2024 | Bergamasco, LetiziaLattanzi, MartaOlmo, Gabriella + | 978-3-031-64636-2_19.pdf |
Enhancing manufacturing quality through gamification: an exploratory study in collaborative assembly process / Capponi, Matteo; Culotta, Angelo Nicola; Gervasi, Riccardo; Mastrogiacomo, Luca; Franceschini, Fiorenzo. - ELETTRONICO. - (2024), pp. 861-888. (Intervento presentato al convegno International Conference on Quality Engineering and Management tenutosi a Girona (Spain) nel 13-14 Giugno 2024). | 1-gen-2024 | Capponi, MatteoCulotta, Angelo NicolaGervasi, RiccardoMastrogiacomo, LucaFranceschini, Fiorenzo | ICQEM_paper_final_gamification.pdf |
Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing / Melchiorre, J.; D'Amato, L.; Agostini, F.; Manuello, A.. - 2004:(2024), pp. 367-372. (Intervento presentato al convegno 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 tenutosi a Chania (GRC) nel 12-14 June 2024) [10.1109/MetroLivEnv60384.2024.10615695]. | 1-gen-2024 | Melchiorre J.D'Amato L.Agostini F.Manuello A. | Metrolivenv2024_Deep_learning_based_onset_time_precision_in_acoustic_emission_non_destructive_testing (6).pdf; Deep-Learning-Based_Onset_Time_Precision_in_Acoustic_Emission_Non-Destructive_Testing.pdf |
Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes / Huang, Kai; Gioacchini, Luca; Mellia, Marco; Vassio, Luca. - (2024), pp. 287-296. (Intervento presentato al convegno 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) tenutosi a Vienna (AUT) nel 08-12 July 2024) [10.1109/EuroSPW61312.2024.00037]. | 1-gen-2024 | Huang KaiGioacchini LucaMellia MarcoVassio Luca | 2024_WTMC_evolutionary_darknet_workshop.pdf; Dynamic_Cluster_Analysis_to_Detect_and_Track_Novelty_in_Network_Telescopes.pdf |
Explainable Stacking Models based on Complementary Traffic Embeddings / Gioacchini, Luca; Santos, Welton; Lopes, Barbara; Drago, Idilio; Mellia, Marco; Almeida Jussara, M.; Gonçalves Marcos, André. - (2024), pp. 261-272. (Intervento presentato al convegno 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) tenutosi a Vienna (AUT) nel 08-12 July 2024) [10.1109/EuroSPW61312.2024.00035]. | 1-gen-2024 | Gioacchini LucaDrago IdilioMellia Marco + | 2024_WTMC_Stacking.pdf; Explainable_Stacking_Models_based_on_Complementary_Traffic_Embeddings.pdf |
Enseñar el proyecto (y transformar la ciudad) en la era de la comunicación digital/ Teaching the project (and transforming the city) in the age of digital communication / Mellano, P.. - STAMPA. - tomo II:(2024), pp. 1649-1660. (Intervento presentato al convegno Comunicar la Arquitectura del origen de la modernidad a la era digital tenutosi a Granada (ESP) nel 24-26 gennaio 2024). | 1-gen-2024 | Mellano P. | estratto PM.pdf |
From Data Collection to a Cross-Cutting Analysis Visualisation: Territorial Complexity Overview to Foster Responsible Tourism in Rural Areas / Aulisio, Asja; Barbero, Silvia; Barreca, Alice; Malavasi, Giorgia; Rolando, Diana. - ELETTRONICO. - 14819:(2024), pp. 33-50. (Intervento presentato al convegno Computational Science and Its Applications – ICCSA 2024 tenutosi a Hanoi (Vietnam) nel July 1–4, 2024) [10.1007/978-3-031-65282-0_3]. | 1-gen-2024 | Asja AulisioBarbero SilviaBarreca AliceMalavasi GiorgiaRolando Diana | ICCSA 2024_Aulisio_Springer.pdf |
Investigating on Gradient Regularization for Testing Neural Networks / Bellarmino, Nicolo; Bosio, Alberto; Cantoro, Riccardo; Ruospo, Annachiara; Sanchez, Ernesto; Squillero, Giovanni. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno 10th International Conference on machine Learning, Optimization and Data science (LOD 2024) tenutosi a Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy nel September 22 – 25, 2024). | In corso di stampa | Bellarmino, NicoloBosio, AlbertoCantoro, RiccardoRuospo, AnnachiaraSanchez, ErnestoSquillero, Giovanni | 2024_LOD_GRADIENT_PENALIZATION.pdf |
A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images: Full/Regular Research Paper (CSCI-RTHI) / Azzolini, Damiano; Bizzarri, Alice; Fraccaroli, Michele; Bertasi, Francesco; Lamma, Evelina. - (2023), pp. 1306-1311. (Intervento presentato al convegno 2023 International Conference on Computational Science and Computational Intelligence (CSCI) tenutosi a Las Vegas, NV (USA) nel 13-15 December 2023) [10.1109/csci62032.2023.00216]. | 1-gen-2023 | Bizzarri, Alice + | A_Machine_Learning_Pipeline_to_Analyse_Multispectral_and_Hyperspectral_Images_Full_Regular_Research_Paper_CSCI-RTHI.pdf |
Evaluating therapist representation techniques in mixed reality-based tele-rehabilitation exergames / Macaluso, Roberta; Visconti, Alessandro; Calandra, Davide; Ciardo, Roberto; Barresi, Giacinto; Lamberti, Fabrizio. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) tenutosi a Seattle (USA) nel October 21-24, 2024). | In corso di stampa | Macaluso, RobertaVisconti, AlessandroCalandra, DavideBarresi, GiacintoLamberti, Fabrizio + | manuscript.pdf |
Quantum Amplitude Loading for Rainbow Options Pricing / Cibrario, Francesca; Samimi Golan, Or; Ranieri, Giacomo; Dri, Emanuele; Ippoliti, Mattia; Cohen, Ron; Mattia, Christian; Montrucchio, Bartolomeo; Naveh, Amir; Corbelletto, Davide. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) tenutosi a Montreal (CA) nel 15-20 september 2024). | In corso di stampa | Emanuele DriBartolomeo MontrucchioDavide Corbelletto + | - |
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