Top Tweets for #explainablemachinelearning
📢 Paper Highlight from MAKE
📝 Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability
🔗 Read more: https://t.co/TqnNnxC3vG
#ExplainableMachineLearning #FeatureSelection #NeuralNetwork
#mdpisystems Call for reading:
Unraveling the Drivers of #ESG Performance in Chinese Firms: An Explainable Machine-Learning Approach
https://t.co/o9uy770WtZ
from Konkuk University
#Systems #corporatesocialresponsibility #explainablemachinelearning #SHapleyAdditiveexPlanations
Check this newly published article "Towards Faithful Local Explanations: Leveraging SVM to Interpret Black-Box Machine Learning Models" at https://t.co/wxu3Nm4G2e
Authors: Jiaxiang Xu et al.
#mdpisymmetry #explainablemachinelearning
@2024_HUST
Applying Explainable Machine Learning to Classify Smoking Status from Basic Health Biological Signals
Read the Article here: https://t.co/1eYvY70s1m
#Explainablemachinelearning #Featureimportance #Machinelearning #Modelprediction #Smoking #Biomedical #Pharmacology
#ExplainableGenerativeArtificialIntelligence ↔️ #ExplainableArtificialIntelligence (#XAI - #xAI) ↔️ #InterpretiveArtificialIntelligence (#InterpretiveAI) ↔️ #ExplainableMachineLearning (#XML - #xML) ↔️ #ExplainableNextGenerationArtificialIntelligence
https://t.co/KMdOLl3E9B
#ExplainableGenerativeArtificialIntelligence ↔️ #ExplainableArtificialIntelligence (#XAI - #xAI) ↔️ #InterpretiveArtificialIntelligence (#InterpretiveAI) ↔️ #ExplainableMachineLearning (#XML - #xML) ↔️ #ExplainableNextGenerationArtificialIntelligence
https://t.co/JWaLw80Ltx
#ExplainableArtificialIntelligence (#XAI - #xAI) ↔️ #InterpretiveArtificialIntelligence (#InterpretiveAI) ↔️ #ExplainableMachineLearning (#XML - #xML)
https://t.co/49OK0WQIu8
A Neural Thermometer for Predicting Phase Transitions of Unknown Systems | JPS Hot Topics
#PhaseTransition
#NeuralNetwork
#ExplainableMachineLearning
#JPSJ
#JPSHotTopics
https://t.co/zMPfcIfkTK
Integrated Evolutionary Learning: An #ArtificialIntelligence Approach to Joint Learning of Features & Hyperparameters for Optimized, #ExplainableMachineLearning
#AI #ML #MachineLearning #DeepLearning #DL #Tech #Technology #Algorithm #Data
https://t.co/QQqTLWpMxE
#OpenAccess #Paper by @Lumbreras_Sara & Diego A. Tejada, researchers at @IIT_Comillas @Comillas_ICAI @UCOMILLAS , et al.
https://t.co/sTt34NhRTV
#Powersystems #Unitcommitment #Explainablemachinelearning #Interpretability
📈 Highly Viewed Papers in 2022
📌No. 10 "#ExplainableMachineLearning Reveals Capabilities, Redundancy, and Limitations of a Geospatial #AirQuality Benchmark #Dataset"
Authors: Scarlet Stadtler, Clara Betancourt and Ribana Roscher
#Views: 4042
📎https://t.co/PA1rrMgocL
💡Highly Cited and Hot Papers in 2022 (https://t.co/wEb3zsEi5N)
📌No. 8 "#ExplainableMachineLearning Reveals Capabilities, Redundancy, and Limitations of a Geospatial #AirQuality Benchmark #Dataset"
📎https://t.co/PA1rrMgocL
Access the paper here: https://t.co/c0rAt736l4
#groundwater #explainablemachinelearning #datascience #mountainousregions
Shah Nawaz et al.: Explainable machine learning for diffraction patterns #ExplainableMachineLearning #GradCAM #VisualizationOfRepresentations ... #IUCr https://t.co/eiATI6luja
I had the honor to give a plenary lecture in Optimization 2023. Thanks to Lu��s Gouveia, Agostinho Agra and Cristina Requejo (@RequejoCris) for giving me the chance the present our latest research on the interface between #ExplainableMachineLearning and #Optimization (1/2)
At @FraunhoferITWM
for ISOLDE conference.
Looking forward to meeting in person again many colleagues and friends. Looking forward to discussing with them about some deep links between Location and #ExplainableMachineLearning I am working with @jasoneramirez + @DoloresRomeroM
It is time for Emilio Carrizosa @emiliocarrizosa to delight us with his talk on Group #CounterfactualExplanations: An #ExplainableMachineLearning Problem Addressed By #MathematicalOptimization Methods #bidas5 @BCAMBilbao #orms #XAI
#highlycitedpaper
Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems
https://t.co/ac7bgrDPTC
@UVIGOir
#Alarms #ExplainableMachineLearning
📈Top Cited Papers in Volume 4, Issue 1 (March 2022)
📌No. 3 "#ExplainableMachineLearning Reveals Capabilities, Redundancy, and Limitations of a Geospatial #AirQuality Benchmark Dataset"
#Views: 2464
#Citations: 3
📎https://t.co/PA1rrMgocL
#neuralnetwork
#randomforest
#XAI
Explainable machine learning for public policy: use cases, gaps, & research directions
@AmareKas, Kit T. Rodolfa, @HemankLamba & @RayidGhani
→ https://t.co/GdRyvntvd0
#ExplainableMachineLearning #MachineLearning #PublicPolicy #ML #ExplainableML #InterpretableML @HeinzCollege
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