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Massimiliano Ruocco

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Massimiliano Ruocco

Associate Professor
Department of Computer Science
Faculty of Information Technology and Electrical Engineering

massimiliano.ruocco@ntnu.no
+4773595129 +4799104568 IT-bygget, 261, Gløshaugen, Sem Sælands vei 9
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About Research Publications Teaching Outreach

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]

Competencies

  • Active Learning
  • Applied Artificial Intelligence
  • Artificial Intelligence
  • Deep learning
  • Few shot learning
  • Machine learning

Research

Artifical Intelligence

Machine Learning

Deep Learning

Self-Supervised Learning

Time Series Analysis

Active Learning

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2025

  • Aftab, Sofia; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2025) Improving Top-N Recommendations: Leveraging Pair-Wise Deep Learning Methods and Evaluation Metrics Contextual modeling, Pair-wise loss functions and Metric enhancement. NTNU Norges teknisk-naturvitenskapelige universitet NTNU Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation
  • Thiry, Zachari; Ruocco, Massimiliano; Nocente, Alessandro; Oksavik, Odne Andreas. (2025) The RICO dataset: A multivariate HVAC indoors and outdoors time-series dataset. Data in Brief
    Academic article
  • Spitieris, Michail; Ruocco, Massimiliano; Murad, Abdulmajid Abdullah Yahya; Nocente, Alessandro. (2025) PIGPVAE: physics-informed gaussian process variational autoencoders. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article

2024

  • Thiry, Zachari; Ruocco, Massimiliano; Nocente, Alessandro; Spitieris, Michail. (2024) Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Regime.
    Academic chapter/article/Conference paper
  • Clemente, Alfredo; Giljarhus, Knut Erik Teigen; Oggiano, Luca; Ruocco, Massimiliano. (2024) Rapid pedestrian-level wind field prediction for early-stage design using Pareto-optimized convolutional neural networks. Computer-Aided Civil and Infrastructure Engineering
    Academic article
  • Kristoffersen, Simen; Nordby, Peter; Ruocco, Massimiliano; Malacarne, Sara; Ortiz, Pablo. (2024) SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks. arXiv.org
    Academic article
  • Aemmer, Zack; Sørbø, Sondre; Clemente, Alfredo; Ruocco, Massimiliano. (2024) Generalization strategies for improving bus travel time prediction across networks. Journal of Urban Management
    Academic article

2023

  • Haugsdal, Espen; Malacarne, Sara; Ruocco, Massimiliano. (2023) Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles.
    Academic chapter/article/Conference paper
  • Sørbø, Sondre; Ruocco, Massimiliano. (2023) Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series. Data mining and knowledge discovery
    Academic article
  • Haugsdal, Espen; Aune, Erlend; Ruocco, Massimiliano. (2023) Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Aftab, Sofia; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2023) Deep Contextual Grid Triplet Network for Context-Aware Recommendation. IEEE Access
    Academic article
  • Clemente, Alfredo; Nocente, Alessandro; Ruocco, Massimiliano. (2023) Global Transformer Architecture for Indoor Room Temperature Forecasting. Journal of Physics: Conference Series (JPCS)
    Academic article

2019

  • Bach, Kerstin; Ruocco, Massimiliano. (2019) Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer Springer
    Academic anthology/Conference proceedings
  • Vassøy, Bjørnar; Ruocco, Massimiliano; Silva, Eliezer de Souza da; Aune, Erlend. (2019) Time is of the essence: A joint Hierarchical RNN and Point Process model for time and item predictions.
    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 Springer
    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

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.
    Academic chapter/article/Conference paper
  • Ruocco, Massimiliano. (2012) Context-aware image semantic extraction in the social web.
    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.
    Academic chapter/article/Conference paper

Journal publications

  • Thiry, Zachari; Ruocco, Massimiliano; Nocente, Alessandro; Oksavik, Odne Andreas. (2025) The RICO dataset: A multivariate HVAC indoors and outdoors time-series dataset. Data in Brief
    Academic article
  • Spitieris, Michail; Ruocco, Massimiliano; Murad, Abdulmajid Abdullah Yahya; Nocente, Alessandro. (2025) PIGPVAE: physics-informed gaussian process variational autoencoders. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Clemente, Alfredo; Giljarhus, Knut Erik Teigen; Oggiano, Luca; Ruocco, Massimiliano. (2024) Rapid pedestrian-level wind field prediction for early-stage design using Pareto-optimized convolutional neural networks. Computer-Aided Civil and Infrastructure Engineering
    Academic article
  • Kristoffersen, Simen; Nordby, Peter; Ruocco, Massimiliano; Malacarne, Sara; Ortiz, Pablo. (2024) SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks. arXiv.org
    Academic article
  • Aemmer, Zack; Sørbø, Sondre; Clemente, Alfredo; Ruocco, Massimiliano. (2024) Generalization strategies for improving bus travel time prediction across networks. Journal of Urban Management
    Academic article
  • Sørbø, Sondre; Ruocco, Massimiliano. (2023) Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series. Data mining and knowledge discovery
    Academic article
  • Haugsdal, Espen; Aune, Erlend; Ruocco, Massimiliano. (2023) Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Aftab, Sofia; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2023) Deep Contextual Grid Triplet Network for Context-Aware Recommendation. IEEE Access
    Academic article
  • Clemente, Alfredo; Nocente, Alessandro; Ruocco, Massimiliano. (2023) Global Transformer Architecture for Indoor Room Temperature Forecasting. Journal of Physics: Conference Series (JPCS)
    Academic article
  • 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) 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 Springer
    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 Springer
    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

  • Thiry, Zachari; Ruocco, Massimiliano; Nocente, Alessandro; Spitieris, Michail. (2024) Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Regime.
    Academic chapter/article/Conference paper
  • Haugsdal, Espen; Malacarne, Sara; Ruocco, Massimiliano. (2023) Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles.
    Academic chapter/article/Conference paper
  • Vassøy, Bjørnar; Ruocco, Massimiliano; Silva, Eliezer de Souza da; Aune, Erlend. (2019) Time is of the essence: A joint Hierarchical RNN and Point Process model for time and item predictions.
    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.
    Academic chapter/article/Conference paper
  • Ruocco, Massimiliano. (2012) Context-aware image semantic extraction in the social web.
    Academic chapter/article/Conference paper
  • Ruocco, Massimiliano; Ramampiaro, Heri. (2010) Event Clusters Detection on Flickr Images using a Suffix-Tree Structure.
    Academic chapter/article/Conference paper

Report

  • Aftab, Sofia; Ramampiaro, Heri; Langseth, Helge; Ruocco, Massimiliano. (2025) Improving Top-N Recommendations: Leveraging Pair-Wise Deep Learning Methods and Evaluation Metrics Contextual modeling, Pair-wise loss functions and Metric enhancement. NTNU Norges teknisk-naturvitenskapelige universitet NTNU Norges teknisk-naturvitenskapelige universitet
    Doctoral dissertation

Teaching

Courses

  • IT3105 - Artificial Intelligence Programming
  • TDT4136 - Introduction to Artificial Intelligence

Outreach

2021

  • Lecture
    Clauß, John; Ruocco, Massimiliano. (2021) Databygg-project and how we use machine learning to predict building energy use. Prosjekt Norge Webinar 2021-11-25 -
  • Lecture
    Ruocco, Massimiliano; Malacarne, Sara. (2021) Generative Adversarial Networks for Anomaly Detection on Telco multivariate time series. Friday AI webinar , Trondheim 2021-11-12 - 2021-11-12

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