Top Tweets for #explainableartificialintelligence
π₯ Highly Cited Paper from MAKE
π Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm?
π Read more: https://t.co/Oy9JyBRvIZ
#InterpretableMachineLearning #ExplainableArtificialIntelligence
π’#MDPIfutureinternet | Highly Cited Articles in #MachineLearning
π An Explainable #MachineLearning Approach for IoT-Supported Shaft Power Estimation and Performance Analysis for Marine Vessels
π https://t.co/8ldk8yEsE9
#explainableartificialintelligence
@ComSciMath_Mdpi
π° Recent Review Paper π°
βWastewater Membrane Bioreactors: A Comprehensive Review of Explainable Artificial Intelligence and Digital Twin Applicationsβ
by Wael S. Al-Rashed from @U_Tabuk
β
https://t.co/pF4lIGDnJh
#MembraneBioreactor #ExplainableArtificialIntelligence
π’ Paper Highlight from MAKE
π Automatic Detection of Equatorial Plasma Bubbles in Airglow Images Using Two-Dimensional Principal Component Analysis and Explainable Artificial Intelligence
π Read more: https://t.co/ZIdTQSSoyA
#ExplainableArtificialIntelligence #XAI
π’ Paper Highlight from MAKE
π Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data
π Read more: https://t.co/ksWRsPLivC
#ExplainableArtificialIntelligence #XAI #ShapleyValues
π’ Paper Highlight from MAKE
π A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review
π Read more: https://t.co/jh00DWj4Qh
#ExplainableArtificialIntelligence #EnergyForecasting #ModelInterpretability
π₯ Highly Cited Paper from MAKE
π SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis
π Read more: https://t.co/3ElxRASnrC
#ExplainableArtificialIntelligence #RollingElementBearing #ML
π’ New paper published in MAKE
π WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
π Read more: https://t.co/KVIRiU8Wbc
#ExplainableArtificialIntelligence #Interpretability #ConsensusFunction
π’#MDPIfutureinternet | Highly Cited Articles in #MachineLearning
π Evaluating Realistic #AdversarialAttacks against Machine Learning Models for Windows PE Malware Detection
π https://t.co/shPMhluhk5
#WindowsPEMalware #explainableartificialintelligence
π£π£π£ #JustPublished my latest (sole authored) open-accessπ article on #ExplainableArtificialIntelligence (#XAI).
πIt was accepted for publication through Technological Forecasting and Social Change (CS26.3; IF13.3; ABDC A; ABS 3) !
https://t.co/oNHI1JQ5SD
#BlackBox #AI
π’#MDPIfutureinternet | Highly Cited Articles in #Security
π Evaluating Realistic #AdversarialAttacks against Machine Learning Models for Windows PE Malware Detection
https://t.co/shPMhluhk5
#WindowsPEMalware #explainableartificialintelligence
@ComSciMath_Mdpi
#highlycited paper
π#IntelligentHealthcare Platform for Diagnosis of Scalp and Hair Disorders
πhttps://t.co/H4Zfc4AtM4
π¨βπ¬by Changjin Ha et al.
π«Jeonbuk National University
#explainableartificialintelligence #assistantcomputerprogram
π New Published Papers of #MDPIfutureinternet
Title: Synergistic #PhishingIntrusionDetection: Integrating Behavioral and Structural Indicators with Hybrid Ensembles and XAI Validation
https://t.co/hVEeuVWf0q
#explainableartificialintelligence #cybersecurity
Today we are proud to publish our last regular J.UCS issue of 2025!
https://t.co/uQJE5BXdqz
Six exciting articles deal with key topics in computer science, such as #DeepLearning #SoftwareEngineering #ExplainableArtificialIntelligence #MachineLearning #NeuralNetworks #DataMiningβ¨
#DataFlowDiagram
DATA FLOW DIAGRAM
#ExplainableArtificialIntelligence
#JENDERALHACKER:
Utk sementara begini penjelasannya...
White Box = Knowledge,
Black Box = Knowing.
https://t.co/71BSWQ1Ouz
#EywaNetwork
CHARLES PULLIAM-MOORE:
Where is your Eywa now?
@VERGE:
Ask @JimCameron !
WURRY PARLUTEN:
Understanding #Eywa with #HumanIntuitiveProgram. We must feel the difference between #knowledge & #knowing.
https://t.co/T9twHvzKAi
#MindIndependentWorld
LOLO:
Ini permasalahan ada di poin "malu maluin ketergantungan AI". Kalo omongan si Dosen sih oke, intinya "Jangan salahkan AI".
STUPID:
Kyknya kita perlu coba tagar baru, #ExplainableArtificialIntelligence.
https://t.co/4Kr6xxEjF5
@MuhammadTuhasan beliau masih ada sense of duty nya, masih mementingkan kualitas, berarti beliau ini orang bener di zaman yang ga bener
AI shouldn't be a black box. π§ π‘
Explore the future of transparent, trustworthy AI at
π ExplainableArtificialIntelligence. com π
Because understanding **how** AI thinks is just as important as **what** it does.
#XAI #FutureOfAI #ExplainableArtificialIntelligence
π₯ ExplainableArtificialIntelligence. com π₯
Thereβs only one. No substitute. No replica.
The exact name of an entire movement in AI.
This isnβt just a domain β itβs the future, spelled out.
#XAI #AI #DomainName #DigitalAssets #OneOfOne #ExplainableArtificialIntelligence
Not in 1 year. Not even in 10.
Some domains hold such deep value, thereβs no rush to sell.
ExplainableArtificialIntelligence. com is one of them.
A timeless digital asset. π‘
#XAI #AI #DomainNames #DigitalLegacy #ExplainableArtificialIntelligence #1stTalk @DomainInvesting
Just acquired
π§ π ExplainableArtificialIntelligence. com π§ π
A premium domain for one of the most critical pillars of AIβs future β XAI.
Not just a name. Itβs a vision, a category, a digital legacy. π‘
#DomainName #AI #XAI #VisionaryAssets #ExplainableArtificialIntelligence
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