Tomas Kliegr

Interested in research on truly interpretable white-box AI? Rule-technologies may be the way to go. The RuleML+RR 2024 conference will cover theoretical advancements, novel technologies, and innovative applications of knowledge representation and reasoning with rules.

Are symbolic approaches to #AI obsolete or is #neurosymbolic the way forward? Reasoning web summer school is the place to learn about the foundations of #Graph_neural_networks, #DeepLearning, #RuleLearning, #theorem_proving. Full programme lnkd.in/ezQhPYvZ.

Interested in research on truly interpretable white-box AI? Rule-technologies may be the way to go. The RuleML+RR 2024 conference will cover theoretical advancements, novel technologies, and innovative applications of knowledge representation and reasoning with rules.

Join us at RuleML+RR 2024: 16-18 September 2024, Bucharest, Romania. 📢 We are thrilled to reveal our first keynote: Jan Van den Bussche, Professor at Hasselt University, Belgium! Additionally, Springer LNCS proceedings are officially confirmed! 2024.declarativeai.net

Are you developing rule-based applications? Consider submitting to the 17th International Rule Challenge, as part of DeclarativeAI, Oslo, Norway, 8 - 20 September 2023. Submission deadline: July 14th, 2023. 2023.declarativeai.net/events/ruleml-… @AiDeclarative @KIZI_VSE

Rule challenge call for papers:2023.declarativeai.net/events/ruleml-… Submission deadline July 14th.

July 17, 2022: Extended submission deadline for Interpretable Machine Learning (XI-ML) workshop co-located with KI 2022, Sept. 21, 2022, Trier, Germany. cslab.cc/xi-ml-2022/

France will block any new increase in regulated gas tariffs and cut taxes on electricity to temper discontent as prices surge in the run-up to a presidential election trib.al/GMA4ZPf

J. Fürnkranz, @Juffi_JKU will give a @RuleML webinar talk on Deep Rule Learning. Save the date: October 27 at 3pm CEST. Instructions to join at webinar webpage: bit.ly/39KHFBy. @AiDeclarative

Ryan J. Urbanowicz @DocUrbs will give a @RuleML webinar talk on Learning Classifier Systems in an AutoML framework, expanding on his keynote at @AiDeclarative and @DecisionCAMP. Tomorrow 29/09 at 3pm CET. RuleML webinar homepage: bit.ly/39KHFBy.

@PulkaKone Možné vysvětlení: Evropské středisko pro prevenci a kontrolu nemocí vydalo tento týden zprávu, ve které uvádí, že dostupná klinická data nepodporují vhodnost odběru ze slin pro rychlé antigenní testy. Využití slin pro plošné testování je asi český unikát. ecdc.europa.eu/en/publication…

Použití rychlých antigenních testů ze slin není podpořeno dostupnými klinickými daty. Vyplývá to ze zprávy Evropského střediska pro prevenci a kontrolu nemocí. Tyto testy se v ČR široce používají, včetně škol.

Další ze studií ukazujících velmi nízkou citlivost některých rychlých antigenních testů při odběru vzorků ze slin. Zde pouze 2.6% pro sliny (výtěr úst) oproti 87.7% pro výtěr z nosohltanu.

Plošné testování ve školách v UK - nalezení jednoho pozitivního případu stojí až 120.000 liber (3.6 mil Kč). Kolik to bude u nás? Možnou příčinou je nízká citlivost antigen. testů, v jiné studii ze 100 asymptomatických nakažených studentů nalezly cca tři. bmj.com/content/371/bm…

Good strong reporting on the mockery of mass testing. How many better ways are there to spend £120,000 detecting Covid cases? Ideas please - the Government needs them! Mass Covid testing in schools costing £120,000 for every positive case found telegraph.co.uk/news/2021/03/3…

Meet the Lecturers of the #MachineLearning School for #BusinessSchools! Join the #BigMLSchool on February 17 and get to know the professors that are changing the #business landscape by teaching #ML to the new generation of #BusinessLeaders. blog.bigml.com/2021/01/27/mee… #Automation

Editable machine learning models? Yes, easily with rules. But how do users like it? Forget questionnaires. An adapted version of a real rule interface can yield a new level of insight into what attributes make machine learning model explainable. rdcu.be/cfdkY

An introductory paper on uses of machine learning in behavioral sciences: journals.sagepub.com/doi/abs/10.117…, preprint: arxiv.org/pdf/1911.03249… While other papers often focus on using ML for analyzing data, our is more focused on the use of ML for obtaining and processing data.

Our paper "On #Cognitive #Preferences and the #Plausibility of Rule-based #Models" got accepted at #MachineLearning Journal w/ Juffi and @kliegr. Preprint at arxiv.org/abs/1803.01316