
Matthias Jakobs
@matthiasjakobs
Research scientist @LamarrInstitute Explainable AI / Time-series data analysis
Also at @[email protected]
ID: 1372854577364619266
19-03-2021 10:17:31
42 Tweet
60 Followers
128 Following

🔔 Reminder: #CfP for 3 workshops at ECML PKDD, co-organized by #Lamarr scientists! Submit your paper until June 12 to: 1⃣ Learning to Quantify: lq-2023.github.io 2⃣ #XAI for time series data: lamarr-institute.github.io/xai-ts-worksho… 3⃣ Interactive adaptive learning: activeml.net/ial2023/



🚨Join us ECML PKDD on 18 September 2023 in Turin Italy! Don't miss the opportunity to share your work on #XAI and #timeseries in the XAI-TS workshop Submission deadline is extended to the 21 of June lamarr-institute.github.io/xai-ts-worksho… Lamarr Institute @RCTrustworthy Matthias Jakobs


🚨I am thrilled to announce that our paper, together with Matthias Jakobs, entitled "Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting," just got accepted as a regular paper in IEEE ICDM'23 🎉. Lamarr Institute #ieee_icdm #timeseries #explainability

If you plan to be ECML PKDD and are interested in #XAI for #timeseries, do not hesitate to attend our workshop XAI-TS on Monday 18 in the afternoon and listen to three interesting keynotes on the subject. The detailed program can be found here: lamarr-institute.github.io/xai-ts-worksho….



Picture from yesterday's talk with Matthias Jakobs at #aisola, discussing how XAI might be communicated to more diverse target audiences. Inspiring, inter-disciplinary exchange! 🙌


Thanks a lot to George Tzagkarakis for the opportunity to present our latest work at ICS-FORTH in Crete! It was a pleasure! Lamarr Institute Amal Saadallah #xai #timeseries


Apply now❗️ We are currently looking to fill 2 professorships for #MachineLearning and #ArtificialIntelligence at Rheinische Friedrich-Wilhelms-Universität Bonn, deadline: November 15, 2023. ➡️ W3 professorship uni-bonn.de/de/universitae… ➡️ W1 professorship with tenure track to W3 uni-bonn.de/de/universitae… #AcademiaJobs




On Dec 4, Lamarr's Matthias Jakobs & Amal Saadallah present their paper "Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting" at the world’s premier research conference on #DataMining ICDM, Shanghai.🌳🕰️ Exciting strides in #ML & time-series forecasting!


Interested in Model Selection for Time Series Forecasting using Tree-based models? Our ICDM 2023 paper is now available as a preprint! Check it out arxiv.org/abs/2401.01124 Amal Saadallah Lamarr Institute

Workshop/Tutorial Explainable AI for Time Series and Data Streams (TempXAI) event co-located with the ECML PKDD 2024. Learn more about explainable Time-Series! @FumagalliFabian Eyke Hüllermeier Matthias Jakobs @Muschalik_Max Amal Saadallah George Tzagkarakis 👉🏼 More info sites.google.com/view/tempxai-w…


📣 📣 Our ECML PKDD workshop #tempXAI on XAI for #timeseries and #datastreams is now accepting submissions 🚨 🚨 under this link: cmt3.research.microsoft.com/ECMLPKDDWorksh… Submission deadline: **22 June 2024** Conference Dates: 09-13 September 2024 More info here: sites.google.com/view/tempxai-w…


📣 Submission Deadline for the "TempXAI: Explainable AI for Time Series and Data Streams Workshop" colocated with ECML PKDD is now extended to June 29, 2024 (AoE) 🚨🚨. More info: sites.google.com/view/tempxai-w… #XAI #timeseries #datastreams #ecmlpkdd Lamarr Institute Matthias Jakobs

📣 One week to go until the submission deadline for the TempXAI workshop on #XAI for #timeseries and #datastreams collocated with #ecmlpkdd24. Submit your paper here 📷cmt3.research.microsoft.com/User/Login?Ret…… Matthias Jakobs Lamarr Institute @RCTrustworthy