Massimiliano Ruocco

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

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
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 (CCIS) (1056)
Academic anthology/Conference proceedings
Phan, Johan; Ruocco, Massimiliano; Scibilia, Francesco. (2019) Dual active sampling on batch-incremental active learning. Communications in Computer and Information Science (CCIS)
Academic article
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 (CCIS) (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

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 (CCIS)
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) 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. (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. (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: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. Springer Communications in Computer and Information Science (CCIS) (1056)
Academic anthology/Conference proceedings
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 (CCIS) (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

Outreach

2021

Lecture

Clauß, 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 -
Lecture

Ruocco, 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

Språkvelger

Massimiliano Ruocco