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ENTITY Deep convolutional neural networks for automated scoring of constructed responses

Deep convolutional neural networks for automated scoring of constructed responses

PulseAugur coverage of Deep convolutional neural networks for automated scoring of constructed responses — every cluster mentioning Deep convolutional neural networks for automated scoring of constructed responses across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_315364 ·

    Prosthetic device vision pipeline enhanced for multi-object recognition

    Researchers have developed an improved vision-based pipeline for upper-limb prosthetic devices to better recognize graspable object parts in complex environments. The new method modifies the hardware setup by incorporat…

  2. TOOL · CL_284357 ·

    Research paper examines fault vulnerability in ReRAM-based PIM CNN accelerators

    A new research paper explores the vulnerability of ReRAM-based Process-in-Memory (PIM) accelerators to faults, which can degrade the accuracy of deep convolutional neural networks (CNNs). The study developed a fault inj…

  3. RESEARCH · CL_109540 ·

    Expresso-AI offers interpretable video-based AI for depression diagnosis

    Researchers have developed Expresso-AI, a novel framework for interpreting decisions made by deep learning models trained on facial videos for depression diagnosis. This system fine-tunes Deep Convolutional Neural Netwo…

  4. TOOL · CL_98016 ·

    Deep learning advances Doherty power amplifier design with novel synthesis method

    Researchers have developed a novel method for designing Doherty power amplifiers using deep learning, specifically deep convolutional neural networks (CNNs) combined with genetic algorithms (GA) and dual-state impedance…