GIOBERGIA, FLAVIO

GIOBERGIA, FLAVIO  

Dipartimento di Automatica e Informatica  

036130  

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AI models for automated segmentation of engineered polycystic kidney tubules / Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:(2024). [10.1038/s41598-024-52677-1] 1-gen-2024 Monaco, SimoneGiobergia, FlavioApiletti, Daniele + s41598-024-52677-1.pdf
Social and economic variables explain COVID-19 diffusion in European regions / Cancedda, Christian; Cappellato, Alessio; Maninchedda, Luigi; Meacci, Leonardo; Peracchi, Sofia; Salerni, Claudia; Baralis, Elena; Giobergia, Flavio; Ceri, Stefano. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:1(2024). [10.1038/s41598-024-58218-0] 1-gen-2024 baralis, elenagiobergia, flavio + s41598-024-56267-z.pdf
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy / Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; Apiletti, Daniele; Baralis, ELENA MARIA. - ELETTRONICO. - 3473:(2023). (Intervento presentato al convegno EVALITA 2023 tenutosi a Parma (ITA) nel September 7th - 8th, 2023). 1-gen-2023 Koudounas AlkisGiobergia FlavioBenedetto IreneMonaco SimoneCagliero LucaApiletti DanieleBaralis Elena paper16.pdf
Late Fusion-based Distributed Multimodal Learning / Giobergia, Flavio; Baralis, Elena. - (2023), pp. 2152-2156. (Intervento presentato al convegno 2023 IEEE International Conference on Big Data (BigData) tenutosi a Sorrento (ITA) nel 15-18 December 2023) [10.1109/BigData59044.2023.10386612]. 1-gen-2023 Giobergia, FlavioBaralis, Elena Late_Fusion-based_Distributed_Multimodal_Learning.pdf
Machine learning with limited label availability: algorithms and applications / Giobergia, Flavio. - (2023 Feb 15), pp. 1-137. 15-feb-2023 GIOBERGIA, FLAVIO Flavio_Giobergia_PhD_thesis.pdfFlavio_Giobergia_PhD_thesis_abstract.pdf
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning / Giobergia, Flavio; Koudounas, Alkis; Baralis, Elena Maria. - (2023). (Intervento presentato al convegno 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT) tenutosi a Baku (AZE) nel 18-20 October 2023) [10.1109/AICT59525.2023.10313185]. 1-gen-2023 Giobergia, FlavioKoudounas, AlkisBaralis, Elena Maria AICT2023.pdfReconstructing_Atmospheric_Parameters_of_Exoplanets_Using_Deep_Learning.pdf
Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution / Tornago, Marta; Giobergia, Flavio; Menzio, Luca; Siviero, Federico; Arcidiacono, Roberta; Cartiglia, Nicolo'; Costa, M; Ferrero, M; Gioachin, G; Mandurrino, M; Sola, V. - In: NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT. - ISSN 1872-9576. - 1047:(2023). [10.1016/j.nima.2022.167816] 1-gen-2023 giobergia, flavio + Silicon sensors with resistive read-out.pdf1-s2.0-S0168900222011081-main.pdf
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case / Giordano, Danilo; Giobergia, Flavio; Pastor, Eliana; La Macchia, Antonio; Cerquitelli, Tania; Baralis, Elena; Mellia, Marco; Tricarico, Davide. - In: COMPUTERS IN INDUSTRY. - ISSN 0166-3615. - ELETTRONICO. - 134:(2022), p. 103554. [10.1016/j.compind.2021.103554] 1-gen-2022 Giordano, DaniloGiobergia, FlavioPastor, ElianaLa Macchia, AntonioCerquitelli, TaniaBaralis, ElenaMellia, MarcoTricarico, Davide 1-s2.0-S0166361521001615-main.pdfGiordano_PREPIPE.pdf
First experimental results of the spatial resolution of RSD pad arrays read out with a 16-ch board / Siviero, Federico; Giobergia, Flavio; Menzio, Luca; Miserocchi, F; Tornago, Marta; Arcidiacono, R; Cartiglia, Nicolo'; Costa, M; Ferrero, M; Gioachin, G; Mandurrino, M; Sola, V. - In: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT. - ISSN 0168-9002. - 1041:(2022). [10.1016/j.nima.2022.167313] 1-gen-2022 Giobergia,Flavio + 2204.06388.pdf1-s2.0-S0168900222006362-main.pdf
RECLAIM: Reverse Engineering Classification Metrics / Giobergia, Flavio; Baralis, Elena. - (2022), pp. 106-113. (Intervento presentato al convegno IEEE International Conference on AI and Knowledge Engineering tenutosi a 19-21 September 2022 nel Laguna Hills, CA (USA)) [10.1109/AIKE55402.2022.00024]. 1-gen-2022 Giobergia, FlavioBaralis, Elena RECLAIM__IEEE_AIKE_-3.pdfRECLAIM_Reverse_Engineering_Classification_Metrics.pdf
Semantic Image Collection Summarization with Frequent Subgraph Mining / Pasini, Andrea; Giobergia, Flavio; Pastor, Eliana; Baralis, ELENA MARIA. - In: IEEE ACCESS. - ISSN 2169-3536. - 10:(2022), pp. 131747-131764. [10.1109/ACCESS.2022.3229654] 1-gen-2022 andrea pasiniflavio giobergiaeliana pastorelena baralis Semantic_Image_Collection_Summarization_With_Frequent_Subgraph_Mining.pdf
Time-of-Flight Cameras in Space: Pose Estimation with Deep Learning Methodologies / Koudounas, Alkis; Giobergia, Flavio; Baralis, Elena. - (2022). (Intervento presentato al convegno IEEE International Conference Application of Information and Communication Technologies tenutosi a Washington DC (USA) nel 12-14 October 2022) [10.1109/AICT55583.2022.10013574]. 1-gen-2022 Koudounas,AlkisGiobergia,FlavioBaralis,Elena ToF-pose-estimation.pdfTime-of-Flight_Cameras_in_Space_Pose_Estimation_with_Deep_Learning_Methodologies.pdf
Triplet Losses-based Matrix Factorization for Robust Recommendations / Giobergia, Flavio. - 3318:(2022). (Intervento presentato al convegno CIKM 2022 Workshops tenutosi a Atlanta (USA) nel October 17-21, 2022). 1-gen-2022 Giobergia, Flavio short11.pdf
Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case / Giordano, Danilo; Pastor, Eliana; Giobergia, Flavio; Cerquitelli, Tania; Baralis, Elena; Mellia, Marco; Neri, Alessandra; Tricarico, Davide. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - ELETTRONICO. - 180 (115109):(2021). [10.1016/j.eswa.2021.115109] 1-gen-2021 Giordano, DaniloPastor, ElianaGiobergia, FlavioCerquitelli, TaniaBaralis, ElenaMellia, MarcoNeri, AlessandraTricarico, Davide Giordano_ExpertSystemPredictiveMaincenance_Final.pdfGiordano_ExpertSystemPredictiveMaincenance.pdfGiordano_ExpertPostprint.pdf
Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment / Giobergia, Flavio; Cagliero, Luca; Garza, Paolo; Baralis, Elena. - ELETTRONICO. - (2020). (Intervento presentato al convegno Data Analytics solutions for Real-LIfe APplications (DARLI-AP). 2020 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2020). 1-gen-2020 giobergia,flaviocagliero,lucagarza,paolobaralis,elena DARLIAP1.pdf
DSLE: A Smart Platform for Designing Data Science Competitions / Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ELENA MARIA; Cagliero, Luca; Garza, Paolo; Apiletti, Daniele; Cerquitelli, Tania; Chiusano, SILVIA ANNA. - ELETTRONICO. - (2020), pp. 133-142. (Intervento presentato al convegno 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) tenutosi a Madrid (Spain) nel July 13-17) [10.1109/COMPSAC48688.2020.00026]. 1-gen-2020 Giuseppe AttanasioFlavio GiobergiaAndrea PasiniFrancesco VenturaElena BaralisLuca CaglieroPaolo GarzaDaniele ApilettiTania CerquitelliSilvia Chiusano 730300a133.pdfDSL_IEEECompsac2020_accepted_version.pdf
Fast Self-Organizing Maps Training / Giobergia, Flavio; Baralis, ELENA MARIA. - ELETTRONICO. - (2019), pp. 2257-2266. (Intervento presentato al convegno IEEE International Conference on Big Data tenutosi a Los Angeles (USA) nel December 9-12, 2019) [10.1109/BigData47090.2019.9006055]. 1-gen-2019 GIOBERGIABARALIS PID6253645.pdf09006055.pdf
Method and System for Predicting System Status / Giobergia, Flavio; Baralis, Elena; Camuglia, Maria; Neri, Alessandra; Tricarico, Davide; Tuninetti, Alessia. - (2018). 1-gen-2018 GIOBERGIA, FLAVIOBARALIS, ELENANERI, ALESSANDRA + -
Mining Sensor Data for Predictive Maintenance in the Automotive Industry / Giobergia, Flavio; Baralis, Elena; Camuglia, Maria; Cerquitelli, Tania; Mellia, Marco; Neri, Alessandra; Tricarico, Davide; Tuninetti, Alessia. - ELETTRONICO. - (2018), pp. 351-360. (Intervento presentato al convegno IEEE International Conference on Data Science and Advanced Analytics (DSAA) tenutosi a Torino nel October 2018) [10.1109/DSAA.2018.00046]. 1-gen-2018 GIOBERGIA, FLAVIOBaralis, ElenaCerquitelli, TaniaMellia, MarcoNeri, Alessandra + -