Author

Tal Sela

Tel Aviv UniversityORCID 0000-0003-4582-9405Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam HakimiD· 1 shared Dino J Levy· 1 shared Dino J. LevyiD· 1 shared Doron A. FriedmaniD· 1 shared Maytal Shabat-Simon· 1 shared Shira Klorfeld· 1 shared Shiran OreniD· 1 shared Tom SchönbergiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperNeuroscience

Adam HakimORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 16, 2018

Pathways to Consumers Minds: Using Machine Learning and Multiple EEG Metrics to Increase Preference Prediction Above and Beyond Traditional Measurements

Adam Hakim, Shira Klorfeld, Tal Sela…·Dino J Levy

This study uses EEG and machine learning to predict consumer preferences and commercial success better than traditional questionnaires.

24 citations

imagingmachine learning (classical)

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 3, 2018

Visual features contribute differently to preferences for different item categories

Shiran Oren, Tal Sela, Dino J. Levy, Tom Schönberg

The paper shows that low-level visual features influence preferences for different item categories, with varying contributions depending on item type and measurement method.

1 citation

imagingstatistical model

𝕏 PostBluesky