Depression Collection

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🔮Psychic

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“Predicting depression from acoustic features of speech using a Convolutional Neural Network.”

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📦Normal

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“A curated list of awesome mental health resources”

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📦Normal

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“32 BTC Puzzle | BTC BruteForce Contest”

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🔮Psychic

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“The first asian machine learning in Jeju Island, South Korea - Project”

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📦Normal

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“🍙 A curated list of my favorite visual novels for Android and Steam Deck”

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📦Normal

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“:pensive: :disappointed: :persevere: :confounded: :weary: Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"”

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🔮Psychic

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“Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)”

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🔥Fire

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“MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.”

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🔮Psychic

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“The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.”