The EXTREMUM project of the data science team at SU is bringing together expertise from different fields of science - machine learning, law and healthcare, says PI Panagiotis Papapetrou digitalfutures.kth.se/2021/04/30/ext…

EXTREMUM at Digital Futures is bringing together expertise from different fields of science; machine learning, law and healthcare, says PI Panos Papapetrou digitalfutures.kth.se/2021/04/30/ext…

Today's tweets span the end of April: "A deep multimodal model for bug localization" by Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang & Hanghang Tong (rdcu.be/cjSII)

SEMINAR: 18 May, 15:00 – 16:00 CEST (UTC +2) Artificial Intelligence (AI) and Machine Learning (ML) – A Legal Orientation digitalfutures.kth.se/event/artifici…

And "An overlap sensitive neural network for class imbalanced data" by Shaukat Ali Shahee & Usha Ananthakumar (rdcu.be/ckTLn)

We just got Academy project funding with Miikka Tallavaara and Anu Kaakinen. The project is called "Environments and energy use of early humans on the edge". I'll be looking for a postdoc with a background in recommender systems. More soon.

And while we've highlighted the individual papers before, just a quick reminder that there's a #DAMI special issue on Mining for Health: link.springer.com/journal/10618/…

Digital Futures Call for Participation: Future Digileaders 2021 digitalfutures.kth.se/2021/07/10/cal… Organising Committee: @maiciolfi, Airi Lampinen, Claudia Núñez-Pacheco, Fatemeh Rahimian RISE, Asreen Rostami Stockholm University, Yvonne Stuerz and Stacy Vallis KTH Royal Institute of Technology. #women #nonbinary #PhD

Join us on Aug 18 at KDD Deep Learning Day to hear about the latest opinions and perspectives on deep learning from our amazing speakers! Program: deeplearningday.github.io/program/

Join the #KDD2021 Deep Learning Day on Aug 19, 8am PST for an exciting lineup of talks. This year DLD focuses on understanding the limits and pushing the boundaries of deep learning. Program: deeplearningday.github.io/program/ Link: virtual.2021.kdd.org/Deep_Learning_…

The recipient of the 2021 Award is Xia “Ben” Hu (Rice University) for his significant research in human-centric data mining and contributions to making complex machine learning algorithms easily used by domain experts. Congrats!

"Fairness is a process" : main message of the keynote by Joaquin Candela. Interesting insights on Fairness in AI research at Facebook! #ecmlpkdd #ecmlpkdd2021

The #IDA2022 website is up: ida-2022.org, and the call for papers is going out. Key dates: Submission deadline: November 19, 2021 Notification of acceptance: January 21, 2022 Conference date: April 20-22, 2022, Rennes, France

We are pleased to announce that our homepage has been updated. It now contains all deadlines and the full information on the submission format, as well as the link to the submission website. siam.org/conferences/cm…

On Tuesday, Hugo Proença (hmproenca) will defend his PhD thesis titled "Robust rules for prediction and description" Leiden Computer Science Universiteit Leiden, in which he proposes a framework for learning rules from data that unifies interpretable machine learning and exploratory data mining. (1/3)

Looking for a #postdoc! Are you interested in exploratory #datamining and interpretable #machinelearning using information theoretic principles? Come do #research in my group Leiden Computer Science Universiteit Leiden! Interested? Please get in touch. eda.liacs.nl #AcademicTwitter

Whe got ourselves a #DAMI survey, and a timely one at that: "The minimum description length principle for pattern mining: a survey" by Esther Galbrun (link.springer.com/article/10.100…)

#IDA2023 has finished! On behalf of all the organizers, thanks to all the participants, who made it a great and lively event. Next year's IDA will be in Stockholm, with Panos Papapetrou as general chair. Consider submitting! #IDA2024

KTH is hiring for an assistant professor in Artificial Intelligence and Data Analysis. Application deadline is on September 29. This is a very exciting position. Do get in touch if you have any questions. kth.varbi.com/en/what:job/jo…

"Z-Time: efficient and effective interpretable multivariate time series classification" by Zed Lee, Tony Lindgren & Panagiotis Papapetrou (link.springer.com/article/10.100…) (OA)