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Работы, цитирующие эту работу

Работ: 7

Работа: Domain-Adversarial Training of Neural Networks

  1. On the Effectiveness of Image Rotation for Open Set Domain Adaptation

    Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi

    ПрепринтDomain Adaptation and Few-Shot LearningLecture notes in computer science2020Цитирований: 0
    ABI

  2. Joint Supervised and Self-Supervised Learning for 3D Real World Challenges

    Antonio Alliegro, Davide Boscaini, Tatiana Tommasi

    Препринт3D Shape Modeling and Analysis2021Цитирований: 0
    ABI

  3. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    ПрепринтEEG and Brain-Computer InterfacesarXiv (Cornell University)2022Цитирований: 0
    ABI

  4. Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

    Andrea Apicella, Pasquale Arpaïa, Giovanni D’Errico +4

    СтатьяEmotion and Mood RecognitionNeurocomputing2024Цитирований: 0
    ABI

  5. Beyond breathalyzers: AI-powered speech analysis for alcohol intoxication detection

    Federica Amato, Valerio Cesarini, Gabriella Olmo +2

    СтатьяAnomaly Detection Techniques and ApplicationsExpert Systems with Applications2024Цитирований: 0
    ABI

  6. Egocentric zone-aware action recognition across environments

    Simone Peirone, Gabriele Goletto, Mirco Planamente +3

    СтатьяHuman Pose and Action RecognitionPattern Recognition Letters2024Цитирований: 0
    ABI

  7. A Large-Scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation, and Inferential Behavior

    Jorge R. Quesada, Zhou Chen, Prithwijit Chowdhury +5

    СтатьяSeismology and Earthquake StudiesIEEE Access2025Цитирований: 0
    ABI