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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
about me!
About me
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Posts
Future Blog Post
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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
2018 Mining Sensor Data
Published in , 1900
Recommended citation: Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, and Alessia Tuninetti. Mining sensor data for predictive maintenance in the automotive industry. In 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 351–360. IEEE, 2018. /files/2018-mining-sensor-data.pdf
2019 Fast Som
Published in , 1900
Recommended citation: Flavio Giobergia and Elena Baralis. Fast self-organizing maps training. In 2019 IEEE International Conference on Big Data (Big Data), 2257–2266. IEEE, 2019. /files/2019-fast-som.pdf
2020 Cross Lingual Sentiment
Published in , 1900
Recommended citation: Flavio Giobergia, Luca Cagliero, Paolo Garza, and Elena Baralis. Cross-lingual propagation of sentiment information based on bilingual vector space alignment. In EDBT/ICDT Workshops, 8–10. 2020. /files/2020-cross-lingual-sentiment.pdf
2020 Dsle
Published in , 1900
Recommended citation: Giuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, Elena Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, and Silvia Chiusano. Dsle: a smart platform for designing data science competitions. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 133–142. IEEE, 2020. /files/2020-dsle.pdf
2021 Dissecting Pipeline
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Recommended citation: Danilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, and Davide Tricarico. Dissecting a data-driven prognostic pipeline: a powertrain use case. Expert Systems with Applications, 180:115109, 2021. /files/2021-dissecting-pipeline.pdf
2022 Predictive Maintenance
Published in , 1900
Recommended citation: Danilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, and Davide Tricarico. Data-driven strategies for predictive maintenance: lesson learned from an automotive use case. Computers in Industry, 134:103554, 2022. /files/2022-predictive-maintenance.pdf
2022 Reclaim
Published in , 1900
Recommended citation: Flavio Giobergia and Elena Baralis. Reclaim: reverse engineering classification metrics. In 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 106–113. IEEE, 2022. /files/2022-reclaim.pdf
2022 Robust Recommendations
Published in , 1900
Recommended citation: Flavio Giobergia. Triplet losses-based matrix factorization for robust recommendations. In Proceedings of the CIKM 2022 Workshops, CEUR Workshop Proceedings. 2022. /files/2022-robust-recommendations.pdf
2022 Rsd Ml
Published in , 1900
Recommended citation: F Siviero, F Giobergia, L Menzio, F Miserocchi, M Tornago, R Arcidiacono, N Cartiglia, M Costa, M Ferrero, G Gioachin, and others. First experimental results of the spatial resolution of rsd pad arrays read out with a 16-ch board. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1041:167313, 2022. /files/2022-rsd-ml.pdf
2022 Sims
Published in , 1900
Recommended citation: Andrea Pasini, Flavio Giobergia, Eliana Pastor, and Elena Baralis. Semantic image collection summarization with frequent subgraph mining. IEEE Access, 10:131747–131764, 2022. /files/2022-sims.pdf
2022 Tof Cameras
Published in , 1900
Recommended citation: Alkis Koudounas, Flavio Giobergia, and Elena Baralis. Time-of-flight cameras in space: pose estimation with deep learning methodologies. In 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), 1–6. IEEE, 2022. /files/2022-tof-cameras.pdf
2023 Acti
Published in , 1900
Recommended citation: Flavio Giobergia. Giobergia at multi-task transformer tuning for joint conspiracy theory detection and classification. In Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, CEUR Workshop Proceedings. 2023. /files/2023-acti.pdf
2023 Geolingit
Published in , 1900
Recommended citation: Alkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, and Elena Baralis. Baρtti at geolingit: beyond boundaries, enhancing geolocation prediction and dialect classification on social media in italy. In Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, CEUR Workshop Proceedings. 2023. /files/2023-geolingit.pdf
2023 Rsd Ml
Published in , 1900
Recommended citation: Marta Tornago, Flavio Giobergia, Luca Menzio, Federico Siviero, Roberta Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, and others. Silicon sensors with resistive read-out: machine learning techniques for ultimate spatial resolution. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1047:167816, 2023. /files/2023-rsd-ml.pdf
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Data science lab: process and methods
📜 Master of Science, Data Science and Engineering🏫 Politecnico di Torino
⏳ A.Y. 2019-20 ➡️ 2024-25
Data Science Lab is a core course of the Master of Science in Data Science and Engineering at Politecnico di Torino. It provides students with the theoretical and practical knowledge needed to work with data, and to develop data-driven solutions to real-world problems.
Transport systems and data analytics
📜 Master of Science, Civil Engineering🏫 Politecnico di Torino
⏳ A.Y. 2019-20 ➡️ 2022-23
The course provides an introduction to data science (preprocessing, rule mining, classification, clustering), data warehousing and the inner working of database management systems (e.g. query optimization, disaster recovery, concurrency control).
Business Intelligence and Big Data
📜 Master of Science, Mathematical Egineering + Management Engineering🏫 Politecnico di Torino
⏳ A.Y. 2022-23
The course provides an introduction to data science (preprocessing, rule mining, classification, clustering) and data warehousing.
Transport systems and data analytics
📜 Master of Science, Civil Engineering🏫 Politecnico di Torino
⏳ A.Y. 2022-23
The main objective of the course is to teach an approach to transport planning activities through a scientific approach. The main steps of the transport modeling and planning process are presented at lesson and contextually developed by students through workshops on a real case study.
thesis
Driving the optimization of nuclear fusion reactor design through machine learning techniques
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As the world seeks cleaner and more sustainable energy solutions, nuclear fusion has emerged as a promising contender. This thesis proposal aims to adopt machine learning techniques to make fusion reactors even better.
Emotional speech synthesis
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