Explore tweets tagged as #Explainablemachinelearning
@emiliocarrizosa
emiliocarrizosa.bsky.social
2 years
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
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@biomed_pharma
Biomedical and Pharmacology Journal
2 months
Applying Explainable Machine Learning to Classify Smoking Status from Basic Health Biological Signals. Read the Article here: #Explainablemachinelearning #Featureimportance #Machinelearning #Modelprediction #Smoking #Biomedical #Pharmacology
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@UniWiai
Fakultät WIAI - Uni Bamberg
5 years
Heute startet die #KI2020 @uni_bamberg_of mit dem Student Day, der spannende Workshops & Tutorials bereithält. U.a. gibt es das #BAyDel2020 Tutorial von Doktorand*innen der @UniWiai oder ein Workshop zu #explainablemachinelearning. Zeit für regen Austausch gibt es natürlich auch.
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@emiliocarrizosa
emiliocarrizosa.bsky.social
2 years
I had the honor to give a plenary lecture in Optimization 2023. Thanks to Luís 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)
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@DoloresRomeroM
Dolores Romero Morales @doloresromerom.bsky.social
2 years
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
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@andresvilarino
Andres Vilariño 🇪🇦
4 years
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@arichardson
arichardson
6 years
Have a look at #DukeUniversity’s winning entry in our #explainablemachinelearning challenge. They replaced the #blackbox with an interpretable model that was 74% accurate.
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@Sensors_MDPI
Sensors MDPI
2 years
#highlycitedpaper.Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems.@UVIGOir.#Alarms #ExplainableMachineLearning
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@andresvilarino
Andres Vilariño 🇪🇦
1 year
Integrated Evolutionary Learning: An #ArtificialIntelligence Approach to Joint Learning of Features & Hyperparameters for Optimized, #ExplainableMachineLearning . #AI #ML #MachineLearning #DeepLearning #DL #Tech #Technology #Algorithm #Data .
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@embercat2
embercat
6 years
Have a look at #DukeUniversity’s winning entry in our #explainablemachinelearning challenge. They replaced the #blackbox with an interpretable model that was 74% accurate.
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@JPS_Hot_Topics
JPS Hot Topics
1 year
A Neural Thermometer for Predicting Phase Transitions of Unknown Systems | JPS Hot Topics .#PhaseTransition.#NeuralNetwork .#ExplainableMachineLearning.#JPSJ.#JPSHotTopics.
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@SoBigData
SoBigData
5 years
New blogpost by @PraFra and Marco Braghieri on transparency issues in #COVID19 tracing #apps with source codes to many of the official applications #ethics #explainablemachinelearning #machinelearning #coronavirus
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@stratagem_cost
PANDORA CIG
3 years
⏮️In our 2021 Annual Conference in #Prague.Óscar González-Velasco🇪🇸 won🥈#prize for best presentation on.#DeepLearning in small #Cancer #cohorts &.#ExplainableMachineLearning to elucidate MDR. 🔜🗓️🇵🇹🧑‍💼#Coimbra. @Oscar_Anpre.@CICancer_com.@usal.@COSTprogramme.@VSCHT.@UnivdeCoimbra
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@stratagem_cost
PANDORA CIG
3 years
📢Our #Annual #Conference and.👩‍🔬WG3/4 #Training #School will be held in.🇵🇹 #Coimbra.🗓️June/July 2022. 📩#STRATAGEM members & affiliates can apply.‼️ Final registration until 10th June.‼️ Abstract submission until 15th May. @COSTprogramme . @UnivdeCoimbra.
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@Data_and_Policy
Data & Policy
3 years
Explainable machine learning for public policy: use cases, gaps, & research directions. @AmareKas, Kit T. Rodolfa, @HemankLamba & @RayidGhani. → #ExplainableMachineLearning #MachineLearning #PublicPolicy #ML #ExplainableML #InterpretableML @HeinzCollege
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@JApplCryst
Journal of Applied Crystallography
2 years
Shah Nawaz et al.: Explainable machine learning for diffraction patterns #ExplainableMachineLearning #GradCAM #VisualizationOfRepresentations . #IUCr
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@MAKE_MDPI
MAKE_MDPI
3 years
📈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. 📎#neuralnetwork .#randomforest.#XAI
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