#explainable search results
Addressing the challenges posed by complex data, models, and high-risk scenarios: “Attentiveness on criticisms and definition about #Explainable #ArtificialIntelligence“ by F. Herrera. ACSIS Vol. 39 p. 45–52; tinyurl.com/4x9ps39w
A nice presentation by @DennisFucci on Explainable AI #XAI and its evaluation approaches! #explainableAI #explainable #evaluation
Our new paper is out @NatureComms 🥳 Together with 116 Dermatologists worldwide, we developed the first #Dermatologist-Like #Explainable #AI for #Melanoma Recognition - to enable the Man-Machine Dream Team in #skin #cancer screenings! 🔍🏥 Enjoy reading: nature.com/articles/s4146…
🎉Check our IJCAI'25 paper on #Explainable link prediction in #KG🔗 We use a path-based #RL model to generate explanations for predictions, rewarding paths that explain best ✨ And we've got user studies 🧑🔬 Great work led by Susana Nunes & @CPesquita👏 👉 arxiv.org/pdf/2509.02276
Very Great @aidoart meeting in Västerås last week & hackathon’s 1st place award on Achieving #Explainable #AI to Support Decision-making during #Requirement Engineering Analysis :) with Brno Univ, @malardalen_uni, @AlstomNordics @SofteamGroup
Looking for an non-AI #explainable denoising algorithm for multichannel data? Take a look at #binlets! To please the gods... I mean, reviewers... we shoehorned in the paper a comparison for single-channel microscopy data against #DeepLearning methods, which produced more bias:
The #binlets paper is out! It is a #datafusion-aware #wavelet-based denoising that outperforms existing methods when non-linear transformations are involved. Consider the following example, where a two-channel signal is measured and we are interested in the ratio (third row)
On 8 July 2023, Turkey time at 11.30, I will talk about #Explainable #Artificalintelligence and #DeepLearning 8 Temmuz Cumartesi günü Türkiye saati ile 11.30'da Açıklanabilir Yapay Zeka ve Derin Öğrenme Modelleri üzerine ders vereceğim.
New automatic Clustering features available from main branch of the Trinity 3D Visual #Explainable #AI tool. You can configure and asynchronously run multiple clustering algorithms in 3D, including DBSCAN, HDBSCAN, KMeans++, KMedoids Affinity Propagation and more. #java #javafx
We set up a new webpage to collect all advances in the newly emerging field of #explainable #optimization expopt.org Our webpage collects related publications, events and software. If you want your work to be added please use our contact page.
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.
#HappyNewYear2024! Check out our latest: #Explainable #AI models for drop coalescence in #microfluidics devices 🔗online in @ChemEngJournal tinyurl.com/mrx4bpth @ChemEngBham @ImperialDSI @UniOfYork @PREMIERE_UKRI @ImperialChemEng #MachineLearning #Simulation #Multiphase
💥אוהבים התעסקות ב-deepseek? אז תשמחו לדעת ש @uri_goren ואנוכי הקלטנו פרק שלם עליו ב #explAInable 👽בתכנית: 1. ניפוץ השקר ה-6 מיליון $ (של deepseek) 2. אימון כמעט ללא Supervised FT 3. נפלאות grpo ופונקצית reward אינטואיטיבית אך דלילה 4. ערבוב מומחים מרענן (MoE) 5. מנגנון load…
רוצים לדעת מה זה למידה self-supervised ומהי הגישה של @ylecun לבניית ייצוג של דאטה? אתם מוזמנים להאזין לפודקאסט #ExplAInable שהקלטנו לאחרונה. podbean.com/ea/pb-i26js-16… ותודה ל @uri_goren ול @tamir_nave על ההזמנה🔥💪 - זה בפודקאסט השישי שלנו כבר ויהיו עוד!
Come work with us (@LAasdahl, @lundnilsen, @mork_paul, and yours truly) here at NTNU on #explainable CBR systems. Details and application page: s.ntnu.no/sw-xcbr
Some paintings aren’t #explainable PERIOD 😵💫
An OMU team has developed an explainable AI model for automatic collision avoidance between ships. doi.org/10.1016/j.apor… #OMU #AI #explainable #maritime #ships #sea #navigation #collision #Japan
✨ New paper out in the Journal of Openness, Commons & Organizing (JOCO): "From Explainable AI to Explaining to AI (X2AI): Representational Practices in AI at Work", by Ella Hafermalz, Marleen Huysman & Jana Retkowsky: lnkd.in/e6k6k-BF #ArtificialIntelligence #Explainable
💥📻חדשות משמחות! 🚨🔥 אני מצטרף לפודקסט המשובח #explAInable ל @uri_goren ו-@tamir_nave התותחים. נמשיך להסביר ולהנגיש לכם את הנושאים השונים ב-#AI, #ML #DS וכדומה.... בקרוב תהיה לכם הזדמנות לשמוע אותי עוד יותר מקודם 😆 זה הזמן להתחיל לעקוב אחרינו: open.spotify.com/show/54gAppYYC……
Very productive and fun visit at @Purdue, where I had the chance to discuss all the potential of #Explainable #DeepLearning and #DeepReinforcementLearning for a wide range of areas within #FluidMechanics and #Engineering. A vibrant community! Thank you Hector Gomez and the rest!
H. "Its Beyond #Explainable.. = ..How Sickening, = Who #Sickening @I4m166? = Waterer = 🚫 In & #Corrupt = (VS) 👁 ability = Wreck & #Tangle = 😈 (VS) Planetary #Ascension Team. = Today Is A Good Day = @qthedepth Have No Place To #Go - K?" God, = "Gold Town, @realDonaldTrump.'
Our paper, Baseflow Identification via #Explainable AI with KAN, shows how #interpretableAI can uncover physical laws in #hydrology KAN improves accuracy (↑NSE by 71%, ↓RMSE by 32%) & reveals why water availability drives baseflow. 🔗agupubs.onlinelibrary.wiley.com/doi/pdf/10.102… #EarthScience
💡 𝐓𝐋𝐃𝐑; In this talk, I examine the challenges and opportunities for making #AI agents more #advisable and #explainable, particularly in sequential decision-making tasks involving human interaction. (2/n)
We set up a new webpage to collect all advances in the newly emerging field of #explainable #optimization expopt.org Our webpage collects related publications, events and software. If you want your work to be added please use our contact page.
#CheckThisPaper 📰 #Explainable Artificial Intelligence for the Rapid Identification and Characterization of #Ocean #Microplastics ✍️ by Dimitris Kalatzis, Angeliki I. Katsafadou, Eleni I. Katsarou, Dimitrios C. Chatzopoulos and Yiannis Kiouvrekis 🔗 mdpi.com/2673-8929/4/3/…
#upbcampus We – the @AIMultimediaLab, coordinated by Prof. Bogdan Ionescu – were excited to share our latest research on #explainable automated analysis of #autophagy — “Explainable AI to Unveil Cellular Autophagy Dynamics”. Read the full article here: doi.org/10.1371/journa….
📢New Article in #OpenAccess Journal of — Smart #Construction 📜A comparative analysis of #explainable #artificial_intelligence (#xAI ) models for predicting #concrete elastic dynamic modulus 🔎Zheng H, Huang Y, Wu K, Wang B, Hu Q, et al. 🏫 @UTokyo_News_en @AstonUniversity
CellPhenoX combines #explainable #AI, classification models, and statistics to generate interpretable, cell-level scores linked to certain clinical outcomes. Software available: github.com/fanzhanglab/py…
Excited 🎉 to share our new paper CellPhenoX, an #explainable #MachineLearning tool 🔨 to link #SingleCell data to clinical outcomes, advanced.onlinelibrary.wiley.com/doi/10.1002/ad…. It detects both linear, nonlinear, and even subtle interaction effects underlying clinical single-cell datasets!
Addressing the challenges posed by complex data, models, and high-risk scenarios: “Attentiveness on criticisms and definition about #Explainable #ArtificialIntelligence“ by F. Herrera. ACSIS Vol. 39 p. 45–52; tinyurl.com/4x9ps39w
🎉Check our IJCAI'25 paper on #Explainable link prediction in #KG🔗 We use a path-based #RL model to generate explanations for predictions, rewarding paths that explain best ✨ And we've got user studies 🧑🔬 Great work led by Susana Nunes & @CPesquita👏 👉 arxiv.org/pdf/2509.02276
@Grok @joshlee361 Exactly; if it can’t explore paths + choose situational truth, it’s not AGI. ACE uses QT + CoT/ToT/many-worlds fusion to do just that. Next: memory aware flows, live QT logs, and selectable depth. Let’s build beyond prompts. #ACE #AGIthinking #Explainable
eXplainable AI: cos’è e perchè l’intelligenza artificiale affidabile è parte della strategia di innovazione di EconomyUp economyup.it/innovazione/ex… #eXplainable #AI #IntelligenzaArtificiale #affidabilità #strategia #innovazione #metodi #tecniche #spiegazioni #machinelearning #social
Call for Papers – The #Explainable AI Revolution: From #BlackBoxes to Transparent Insights Guest Editors: Raheleh Jafari, Alexander Gegov, Farzad Arabikhan, Alexandar Ichtev Submit now: mdpi.com/journal/electr… #ExplainableAI #XAI #TransparentAI #CognitiveAI #ElectronicsJournal
GeneXAI: Influential gene identification for breast cancer stages using XAI-based multi-modal framework sciencedirect.com/science/articl… #Explainable artificial intelligence #Cancer Stage classification #Lymph node #Metastasis #Deep learning #Tumor #Chi-square #MedTwitter #scicomm #MedEd
🎙️ @RadioVal_AI shared its work on #AI for breast cancer imaging in a webinar by @myESR & @EIBIR_biomed ! 🔍 Prof. @ooliverdiaz presented the FUTURE-AI guidelines for #trustworthy, #explainable AI 🧠 🎥 Missed it? Watch here 👇 youtube.com/watch?v=DJlZmR… #HorizonEU #EUfunded
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ESR/EIBIR Webinar Series: Harnessing AI for Clinical Decision-Making
🔥 Read our Paper 📚 Enhancing Interpretability in #DrillBit #Wear Analysis through #Explainable #ArtificialIntelligence: A Grad-#CAM Approach 🔗 mdpi.com/2076-3417/14/9… 👨🔬 by Ms. Lesego Senjoba et al. 🏫 Akita University #XAI #CNN #drilling
📢New Article in #OpenAccess Journal of — Smart #Construction 📜A comparative analysis of #explainable #artificial_intelligence (#xAI ) models for predicting #concrete elastic dynamic modulus 🔎Zheng H, Huang Y, Wu K, Wang B, Hu Q, et al. 🏫 @UTokyo_News_en @AstonUniversity
A nice presentation by @DennisFucci on Explainable AI #XAI and its evaluation approaches! #explainableAI #explainable #evaluation
💡Learn how the #safexplainproject is exploring the application of #explainable AI algorithms to each stage of the #ML lifecycle using #data explainers Read what our partner @RISEsweden has to say about this challenge👇 safexplain.eu/integrating-ex…
🤔What is #XAI? #explainable #AI makes ´black box´algorithms understable and interpretable for different users The #safexplainproject applies XAI algorithms @ each phase of the #ML life cycle and evaluates them in 🚗🚆🛰️ cases More info👉 safexplain.eu/integrating-ex… @RISEsweden
TOWARDS SAFE AUTONOMOUS DRIVING POLICIES USING A NEURO-SYMBOLIC DEEP REINFORCEMENT LEARNING APPROACH Link to the paper: arxiv.org/abs/2307.01316 #ai #explainable #safe #autonomousdriving #neurosymbolic
New automatic Clustering features available from main branch of the Trinity 3D Visual #Explainable #AI tool. You can configure and asynchronously run multiple clustering algorithms in 3D, including DBSCAN, HDBSCAN, KMeans++, KMedoids Affinity Propagation and more. #java #javafx
Our new paper is out @NatureComms 🥳 Together with 116 Dermatologists worldwide, we developed the first #Dermatologist-Like #Explainable #AI for #Melanoma Recognition - to enable the Man-Machine Dream Team in #skin #cancer screenings! 🔍🏥 Enjoy reading: nature.com/articles/s4146…
#Explainable and #Trustworthy Traffic Sign Detection for #Safe #Autonomous #Driving: An Inductive Logic Programming Approach Link to the paper: arxiv.org/abs/2309.03215
🌠Throw back Thursday to the @RISEsweden article on integrating #XAI techniques into #ML Life cycles ow.ly/fpwt50RScuw #explainable and #transparent #AI is a key for making it #Trustworthy More on Trustworthy AI at the @Adra_eu_ webinar ow.ly/mGfs50RScuv
⚡14:30🕝 #papAI7 conference🚀. papAI 7 conference is an exciting conference focusing on the critical role of #Explainable AI (XAI) within business teams. 🔅 [𝙂𝙚𝙩 𝙔𝙤𝙪𝙧 𝙋𝙖𝙨𝙨]: datategy.net/big-data-ai-pa… #AI #datascience #enterpriseai #ScalingAI #dataplatform
![Datategy_France's tweet image. ⚡14:30🕝 #papAI7 conference🚀.
papAI 7 conference is an exciting conference focusing on the critical role of #Explainable AI (XAI) within business teams.
🔅 [𝙂𝙚𝙩 𝙔𝙤𝙪𝙧 𝙋𝙖𝙨𝙨]: datategy.net/big-data-ai-pa…
#AI #datascience #enterpriseai #ScalingAI #dataplatform](https://pbs.twimg.com/media/F675NF4XgAAwPdE.jpg)
❔❕❔ Want to know about partner @NavInfoEurope contributions to the #safexplain project? 🚗Read their piece on "Developing safe and #explainable #AI for #autonomous driving: Automotive case study" ➡️ safexplain.eu/developing-saf…
Some paintings aren’t #explainable PERIOD 😵💫
This #lecture will be online and for undergraduate & graduate students. To connect 🔽🔽🔽 #Webinar on #Explainable #Artificial #Intelligence and #DeepLearning Saturday, July 8 · 1:45 – 3:45pm Time zone: Asia/Kolkata Video call link: meet.google.com/nov-nyhu-kjh PIN: 338 982 855#
We're working toward #explainable and #safe AI solutions in the #space domain Why? 👉so a single operator can manage tens, if not hundreds of satellites at once 👉to offer potential savings of 25% of total mission costs More 👉safexplain.eu/space-case-stu…
The #AIthenaProject is a research and innovation EU-funded project that aims to build #trustworthy, #explainable, and #accountable #AI solutions for #CCAM technologies. 👉Learn more 🔗 aithena.eu/about/ #CCAM #AI #Mobility #AIthenaProject #UseCases
The SAFEAI workshops continues with a presentation by @IKERLANofficial that helps answer 👉which standards do we follow in criticalembeddedsystems?( where failure is not an option!) 👉how do we make #AI #explainable? 👉can we make AI #safe? More - 👉safexplain.eu/event/webinar-…
👋 Do you know about our #TrustworthyAIcluster sibling @enexa_eu ? They're developing human-centered #explainable #ML approaches for real world knowledge graphs Check out their latest newsletter 👉 preview.mailerlite.io/preview/202883…
An OMU team has developed an explainable AI model for automatic collision avoidance between ships. doi.org/10.1016/j.apor… #OMU #AI #explainable #maritime #ships #sea #navigation #collision #Japan
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