Top Tweets for #eXplainable
Very happy to share our latest #study on #ML methods to reveal the #fundamental #mechanisms of #turbulence! In this work we use #Explainable #DeepLearning #XDL to identify the most important #coherent #structures for each of the terms in the #TKE #Budget!
https://t.co/9YXlKaoyiR

What made me genuinely happy was this:
@Dealism_ai handled it beautifully.
- it didn’t get dragged into the user’s rhythm.
-it didn’t promise anything just to close the sale.
Instead, it used clear, solid reasoning to hold the pricing line.
#controlled . #Explainable. With #Boundaries .
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.'

Excited 🎉 to share our new paper CellPhenoX, an #explainable #MachineLearning tool 🔨 to link #SingleCell data to clinical outcomes, https://t.co/FTSNDT8Gas. 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; https://t.co/UWJZKfWimk
🎉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👏
👉 https://t.co/2jG6m0PdkX

GeneXAI: Influential gene identification for breast cancer stages using XAI-based multi-modal framework https://t.co/jTV2q7cbrJ #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 👇 https://t.co/RThwtoT4Fr
#HorizonEU #EUfunded
🔥 Read our Paper
📚 Enhancing Interpretability in #DrillBit #Wear Analysis through #Explainable #ArtificialIntelligence: A Grad-#CAM Approach
🔗 https://t.co/9WKM2fVjUP
👨🔬 by Ms. Lesego Senjoba et al.
🏫 Akita University
#XAI #CNN #drilling

New publication out 💥 In a reader study led by Tirtha Chanda involving 76 international #dermatologists, we were able to demonstrate enhanced accuracy of #melanoma diagnosis when employing #dermatologist-like #explainable #AI developed in our lab @dkfz: https://t.co/Y5SxciV6Ih
Well, I found out what I was doing wrong with attention / transpose. Assuming I was doing something wrong with it --- that's what I did wrong. 😂
OV doesn't know which vision patch 'sees' a [text].🙃
#CLIP vs. #OpenVision, ViT-L/14.
#AI #AIweirdness #explainable #strangeness
![zer0int1's tweet photo. Well, I found out what I was doing wrong with attention / transpose. Assuming I was doing something wrong with it --- that's what I did wrong. 😂
OV doesn't know which vision patch 'sees' a [text].🙃
#CLIP vs. #OpenVision, ViT-L/14.
#AI #AIweirdness #explainable #strangeness https://t.co/XNQIZ91zS9](https://pbs.twimg.com/media/GrFGkR2aoAAzuZo.jpg)
🔥 Read our Paper
📚 Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques
🔗 https://t.co/Nu0gYHHl7I
👨🔬 by Tae-Wan Kim and Keun-Chang Kwak.
#speechemotionrecognition #explainable #deeplearning #YAMNet #VGGish #audiblefeature
@chosun_univ

The #AIthenaProject is developing a #harmonised #methodology for AI developers to incorporate #explainable, #trustworthy and #accountable mechanisms in CCAM technologies.
The four use #cases in the project also use this methodology.
👉Learn more on 🔗 https://t.co/z4eDi8TPnB

Working on #explainable #AI #ML for #chemistry and #materials? Then join us at the special track #xAI 2025 in Istanbul this July and submit your paper by Feb 28! https://t.co/CD5pzcbyqy Co-organised with @fragrisoni @P_Friederich @GWellawatte Jonas Teufel Marcel Hiltscher

Honored that my 1st author paper was *featured* in @CirculationEP! Using #Explainable #AI we show: predictors of acute and long-term outcomes from AF ablation are distinct - ⚡️electrical vs. clinical+lifestyle🚬🥃. Thanks to @S_NarayanMD and co-authors🙏
https://t.co/CLpfvpipeP

💥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 balancing בין כל דבר (מומחים, מכונות, gpus, כמות חישוב םפר טוקן וכדומה)
6. זיקוק ידע עבור מודלים קטנים עם SFT בלבד ואולי גם עם RL ללא יישור לוגיטים או פלטים של שכבות של המודל
7. פינה מתמטית: מה עם איבר KL ב-GRPO ואיך ג'ו שולמן קשור אליו
8. בטח יש עוד - כולם מוזמנים

#Video #Turorial for #SHAP!! If you are interested in using #Explainable #DeepLearning (#XDL) for scientific discovery, have a look at our latest video by Andrés Cremades! It includes a very detailed tutorial with all the codes to easily implement SHAP!!
https://t.co/VvCdlW05uP

Excited to share our publication in #UEGJ:
"Prospective Evaluation of Real-Time AI for Hill Classification of the Gastroesophageal Junction"
which showcases #realtime, #explainable AI achieving accurate results in clinical practice. @alexsworking
https://t.co/kaprSewwzQ

How can one use #Explainable #AI (#XAI) for #scientific #discovery? In our latest #review paper you can have a complete summary of the state of the art and upcoming trends for #fluid #mechanics and #heat #transfer!
https://t.co/im22FseVjC
@A_Cremades_phd @Serhocal

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