Katrien Verbert
@katrien_v
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Professor at KU Leuven, intelligent user interfaces, explainable AI, interactive recommender systems, visual analytics, learning analytics, HCI
Belgium
Joined May 2008
Are you interested in a #PhD position in Human-centered #Explainable #AI? We are hiring! 🗓️ Application deadline: 28 August 2024 🔗 Find out more & apply here: https://t.co/2MOu98dQKi Repost = ❤️
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A reunion with former @pawslab visitors @ctrattner @katrien_v @julitav at #UMAP2024. Excited to see them as very productive researchers and influential professors! We are always happy to host visitors @SciPitt and work together!
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Katrien Verbert reviewed several years of research on explaining recommendations in her #umap2024 @ExUM_workshop keynote talk. Lots of great ideas and results. I really want to have a copy of the slides :) https://t.co/XNDrbIfb8E
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Cataldo Musto opens #UMAP2024 @ExUM_workshop and introduces two great keynote speakers https://t.co/RBbChHPYQQ
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Are you interested to see more of the insight visualisations and explainable AI dashboards @slatre presented in his interesting keynote? I’ll present more details of our @AugmentHCI work during the human-centered explainable AI session. #LearningBytesFestival #imec #kuleuven
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Very much looking forward to the next speaker, Prof. @Katrien_v Verbert (@KU_Leuven)! She talks about: "Human-centred Explainable AI" https://t.co/XJhpqZqg97
Great presentation in the @UGent symposium on #AI and #Society, by Prof. Toon Calders from @UAntwerpen: "How to be Fair". https://t.co/XJhpqZqg97
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#AIsociety: @katrien_v, prof @KU_Leuven, explains that there are more and more explainable AI techniques #XAI available, but little or no AI systems that actually use them effectively. A lot of challenges remain
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Great presentation by @katrien_v on human-centred #Explainable #AI, also in high-risk environments. Explainable and trustworthy dashboards are becoming more important in applications that drive insights, predictions and decisions, based on big data and AI.
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Super big congratulations to Lara Roosens (master computer science KU Leuven) on winning the #klasseprijs 2023 for her thesis on actionable dashboards for teachers: well deserved! #proudsupervisor
burgerlijk ingenieurs helpen leerkrachten: computerwetenschapper Lara Roosens ontwerpt tool om data over de competenties en prestaties van leerlingen te interpreteren - én wint de #Klasseprijs 👏! @SciMingo
https://t.co/SN1j4Vofuv
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Ook de master thesis van Lara Roosens (@CW_KULeuven) "Turning Competency Data into Actionable Insights for Teachers" werd genomineerd voor de #Klasseprijs! #fingerscrossed
Kunnen we de week beter aftrappen dan met een nieuwe #longlist? Ontdek vandaag welke 10 scripties over #onderwijs 👩🏫kans maken op de #Klasseprijs! @klasse_be Kanshebbers van: @odiseehogesch @viveshogeschool, @KU_Leuven @AP_Hogeschool @UAntwerpen @ugent
https://t.co/1KxniF9LXs
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⭐️We are hiring!⭐️ We have a #PhD position on #Explainable #AI for #healthcare: https://t.co/wDJEhSmyWt ⏰Deadline is 8 September. RT=❤️ #jobs #AcademicTwitter #hiring #research #PhDposition #XAI @AugmentHCI @CW_KULeuven
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Delighted to share our new study in JMIR Human Factors! Discover how our mHealth app is closing communication gaps for people with cognitive impairments and their caregivers. We are happy with the results and welcome potential collaborators to reach out!
humanfactors.jmir.org
Background: In families with children with cognitive impairments, both parents and children experience tension and have questions because of a lack of communication and adequate information. Theref...
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It was a great pleasure to present our work #human-#centred #XAI at the @chinl Post-CHI event last week! The slides of my talk are available at: https://t.co/7E93bgVtwc Thanks again for the invitation @UjLaw and @vermahmnshu and for the interesting discussion!
wms.cs.kuleuven.be
Our first keynote @katrien_v as we start our @chinl Post-CHI event! One message that stood out: "Do not over-simplify: Show uncertainty" when visualizing data and explanations. Thanks for chairing the talk @karinslegers!
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Our first keynote @katrien_v as we start our @chinl Post-CHI event! One message that stood out: "Do not over-simplify: Show uncertainty" when visualizing data and explanations. Thanks for chairing the talk @karinslegers!
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Great talk of @SaraSalimzadeh on task complexity at #umap2023, with very interesting takeaways
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Excellent talk of Thi Ngoc Trang Tran at #umap2023: users are more likely to check #explanations in high involvement item domains when they are not satisfied with the recommendation
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Thanks a lot to @katrien_v for the great talk "explainable learning analytics dashboards: lessons learned " in Bergen, Norway. @SlateResearch @mehdielaahi
#learning #AI
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Tijdens de deep dive-sessie "Ethiek in AI, hoe begin je er aan en hoe weet je dat je voldoende doet?" op het #FlandersAIforum wijst @katrien_v, hoogleraar @KU_Leuven, er op dat #explainable #AI of #XAI geen overdreven #verplichting is, maar ook een heleboel #voordelen biedt
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Yesterday, I had the great opportunity to present our work on #explainability at #FlandersAIForum, in the session on #ethics in #AI chaired by @RobHeyman. The slides of my talk are available at: https://t.co/RQHGqFzO9s Do reach out if you see #collaboration opportunities!
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