Massimiliano Ruocco
+4773595129
+4799104568
IT-bygget, 261, Gløshaugen, Sem Sælands vei 9
About
Massimiliano is Adjunct Associate Professor at the Department of Computer Science, in the Data and Artificial Intelligent Group with a strong focus on Machine Learning and Artificial Intelligence. He has extensive expertise in deep neural networks, modern AI for time series analysis, active learning, and self-supervised learning. Massimiliano has applied his skills in various industries including energy, telecommunication, healthcare, and sports, and has experience in both hardcore machine learning as well as applied machine learning in real-world industrial cases.
Massimiliano has a deep understanding of the latest advancements in AI and is able to apply this knowledge to real-world applications. He has successfully managed projects in a variety of industries and is committed to using AI to solve complex problems and improve operations.
He is passionate about sharing his knowledge and expertise with others, and enjoys working with students to involve them in AI projects.
Current Projects:
- ML4ITS - Machine Learning for Irregular Time Series (2021 - 2024) [Coordinator]
- RICO - Robust Intelligent Control (2022 - 2025) [WP Leader]
- BARTIMAEUS - New Automatic Tool Replacement System with Intelligent Machine Vision Features for the Machining Industry (2021 -2025) [WPLeader]
- LANDSKAPE - Hybrid Physical-Based Deep Learning for Fast and Reliable Wind Flow Estimation (2021 -2023) [WP Leader and Scientific Coordinator]
Research
Artifical Intelligence
Machine Learning
Deep Learning
Self-Supervised Learning
Time Series Analysis
Active Learning
Publications
2019
-
Bach, Kerstin;
Ruocco, Massimiliano.
(2019)
Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019.
Springer
Communications in Computer and Information Science (1056)
Academic anthology/Conference proceedings
-
Vassøy, Bjørnar;
Ruocco, Massimiliano;
de Souza da Silva, Eliezer;
Aune, Erlend.
(2019)
Time is of the essence: A joint Hierarchical RNN and Point Process model for time and item predictions.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Phan, Johan;
Ruocco, Massimiliano;
Scibilia, Francesco.
(2019)
Dual active sampling on batch-incremental active learning.
Communications in Computer and Information Science
Academic article
-
Bach, Kerstin;
Ruocco, Massimiliano.
(2019)
Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019.
Springer
Communications in Computer and Information Science (1056)
Academic anthology/Conference proceedings
2018
-
Agarwal, Basant;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2018)
A deep network model for paraphrase detection in short text messages.
Information Processing & Management
Academic article
2017
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Academic anthology/Conference proceedings
2015
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2015)
Geo-Temporal Distribution of Tag Terms for Event-Related Image Retrieval.
Information Processing & Management
Academic article
2014
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2014)
A scalable algorithm for extraction and clustering of event-related pictures.
Multimedia Tools and Applications
Academic article
2013
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2013)
Event-Related Image Retrieval: Exploring Geographical and Temporal Distribution of User Tags.
International Journal of Multimedia Information Retrieval
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2013)
Exploring Temporal Proximity and Spatial Distribution of Terms in Web-based Search of Event-Related Images.
ACM Hypertext Proceedings
Academic article
2012
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2012)
Exploratory Analysis on Heterogeneous Tag-Point Patterns for Ranking and Extracting Hot-Spot Related Tags.
ACM Publications
Academic chapter/article/Conference paper
-
Ruocco, Massimiliano.
(2012)
Context-aware image semantic extraction in the social web.
ACM Publications
Academic chapter/article/Conference paper
2011
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2011)
NTNU@MediaEval 2011 Social Event Detection Task (SED).
CEUR Workshop Proceedings
Academic article
2010
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2010)
Event Clusters Detection on Flickr Images using a Suffix-Tree Structure.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Journal publications
-
Phan, Johan;
Ruocco, Massimiliano;
Scibilia, Francesco.
(2019)
Dual active sampling on batch-incremental active learning.
Communications in Computer and Information Science
Academic article
-
Agarwal, Basant;
Ramampiaro, Heri;
Langseth, Helge;
Ruocco, Massimiliano.
(2018)
A deep network model for paraphrase detection in short text messages.
Information Processing & Management
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2015)
Geo-Temporal Distribution of Tag Terms for Event-Related Image Retrieval.
Information Processing & Management
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2014)
A scalable algorithm for extraction and clustering of event-related pictures.
Multimedia Tools and Applications
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2013)
Event-Related Image Retrieval: Exploring Geographical and Temporal Distribution of User Tags.
International Journal of Multimedia Information Retrieval
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2013)
Exploring Temporal Proximity and Spatial Distribution of Terms in Web-based Search of Event-Related Images.
ACM Hypertext Proceedings
Academic article
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2011)
NTNU@MediaEval 2011 Social Event Detection Task (SED).
CEUR Workshop Proceedings
Academic article
Books
-
Bach, Kerstin;
Ruocco, Massimiliano.
(2019)
Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019.
Springer
Communications in Computer and Information Science (1056)
Academic anthology/Conference proceedings
-
Bach, Kerstin;
Ruocco, Massimiliano.
(2019)
Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019.
Springer
Communications in Computer and Information Science (1056)
Academic anthology/Conference proceedings
-
Ruocco, Massimiliano;
Skrede, Ole Steinar Lillestøl;
Langseth, Helge.
(2017)
Inter-Session Modeling for Session-Based Recommendation.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Academic anthology/Conference proceedings
Part of book/report
-
Vassøy, Bjørnar;
Ruocco, Massimiliano;
de Souza da Silva, Eliezer;
Aune, Erlend.
(2019)
Time is of the essence: A joint Hierarchical RNN and Point Process model for time and item predictions.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2012)
Exploratory Analysis on Heterogeneous Tag-Point Patterns for Ranking and Extracting Hot-Spot Related Tags.
ACM Publications
Academic chapter/article/Conference paper
-
Ruocco, Massimiliano.
(2012)
Context-aware image semantic extraction in the social web.
ACM Publications
Academic chapter/article/Conference paper
-
Ruocco, Massimiliano;
Ramampiaro, Heri.
(2010)
Event Clusters Detection on Flickr Images using a Suffix-Tree Structure.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Media
2021
-
LectureRuocco, Massimiliano; Malacarne, Sara. (2021) Generative Adversarial Networks for Anomaly Detection on Telco multivariate time series. Norwegian University of Science and Technology - NAIL - NORA Friday AI webinar , Trondheim 2021-11-12 - 2021-11-12
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LectureClauß, John; Ruocco, Massimiliano. (2021) Databygg-project and how we use machine learning to predict building energy use. Prosjekt Norge Prosjekt Norge Webinar 2021-11-25 -