Join the 2020 AI Master thesis awards #NAIL #ntnu #AI

Great #AI #hackathon event organized by @CogitoNtnu and BRAIN NTNU with #anomalydetection problem from our ML4ITS (ml4its.github.io) project! Thanks SINTEF Digital and Telenor Research for the support. NTNU Norwegian Open AI Lab brainntnu.no/portfolio/hack…

I am thrilled to announce that our workshop "ML4ITS - Machine Learning for Irregular Time-series" has been accepted at ECML PKDD 2021. Thanks to Claudio Gallicchio and ErlendA. It will be amazing! SINTEF Digital Norwegian Open AI Lab NTNU More details to come...

#CallforPapers We are happy to announce that the the 1st International WS on "Machine Learning for Irregular Time Series" #ML4ITS2021 in conj. with ECML PKDD is open for submissions! Looking forward to see many interesting papers! NTNU SINTEF Digital wikicfp.com/cfp/servlet/ev…

I am very excited to announce Cesare Alippi (alippi.faculty.polimi.it) from Politecnico di Milano as one of our Invited Speaker at "Machine Learning for Irregular Time Series" WS #ML4ITS2021 (ml4its.github.io/ml4its2021/) in conj. with ECML PKDD. Deadline for submissions --> 23 June 2021

I am thrilled to announce Boris Oreshkin Boris Oreshkin from Unity3D (inactive) as our second invited speaker at #ML4ITS2021 (ml4its.github.io/ml4its2021/) in conj. with ECML PKDD. Remember the deadline for submissions --> 23 June 2021! #machinelearning #timeseriesanalysis #ai

Our #ml4its2021 is ready to start at ECML PKDD. Looking forward! Join us on #zoom!

We are #hiring! If you have a Master Degree or a #phd in CS (with AI/ML specialisation), Math, Stats or similar, consider to apply to our "ML Researcher" position in SINTEF Digital #machineleaning #ai Deadline: 17. October candidate.hr-manager.net/ApplicationIni…

Machine Learning Researcher(s) – Software Product Innovation dlvr.it/S8V8V0

Join our talk on the use of #GAN for #anomalydetection SINTEF Digital NTNU

⚡️Excited to announce the second keynote at ICAPAI 2023, International Conference on Applied AI, Halden, Norway, icapai.org ⚡️ Massimiliano Ruocco Massimiliano Ruocco, Senior Research Scientist at SINTEF Digital and Adjunct Associate Professor at NTNU, Trondheim (Norway)

I am excited to announce that I will be a keynote speaker at the upcoming ICAPAI 2023! This is an exciting opportunity to share my insights with the AI community. I am looking forward to sharing my ideas there. SINTEF Digital NTNU Norwegian Open AI Lab

Are you lost in the maze of evaluation metrics for #anomalydetection in #timeseries? Our latest paper "Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series" provides a comprehensive taxonomy arxiv.org/abs/2303.01272 SINTEF Digital #ML

📢 Exciting news! Our workshop on "Machine Learning for Irregular Time Series (#ML4ITS2023) " (ml4its.github.io/ml4its2023/) will be co-located this year with #ECMLPKDD2023 🚨 Don't forget to submit your papers by June 12th, 2023! SINTEF Digital Norwegian Open AI Lab NTNU

⏳ Only 6 days left to submit your paper to #ML4ITS2023 workshop at #ECMLPKDD2023 in Turin, Italy! 🚀 📅 Deadline: June 12th 📅 Workshop: Sept 18th 📝 CFP: ml4its.github.io/ml4its2023/

Thrilled to share that the paper, "Circle Attention: Forecasting network traffic by learning interpretable spatial relationships from intersecting circles," by Epen Haugsdal, me (Massimiliano Ruocco) and Sara Malacarne has been accepted at #ECMLPKDD2023 SINTEF Digital Norwegian Open AI Lab

📢 Deadline extended to June 23rd for submitting your paper to #ML4ITS2023 Workshop co-located with ECML PKDD 📢 ml4its.github.io/ml4its2023/#su… Don't miss this exciting opportunity to explore AI and ML for time series analysis with experts. #ECMLPKDD2023 #AI #DeadlineExtension

📢 Last day for submitting your paper to #ML4ITS2023 Workshop co-located with ECML PKDD 📢 📷ml4its.github.io/ml4its2023/#su… #ECMLPKDD2023 #AI

Great poster session at #ML4ITS2023 workshop at ECML PKDD #machinelearning #timeseries

It was great to introduce and organize the second workshop #ML4ITS2023 in Turin ECML PKDD with Claudio Gallicchio and ErlendA . Lot of interesting works! #machinelearning #timeseries