… We explored multiple deep learning models for the automatic essay scoring task, and we …
of the traits scores enhance the efficiency of the prediction of the overall score. Our extended …

… Below, we highlight some of these challenges, show how their resolution would open up
new avenues of exploration, and review recent advances in scoring function development. We …

… scoring power’ benchmark and Astex Diverse Set and outperformed classical scoring functions…
To our knowledge, the only scoring function with better performance published so far is RF…

… experimenting with novel deep learning techniques in attempts to … to determine whether deep
learning could contribute to the … scoring matrix generated by PSI-BLAST and deep learning …

… This study developed a deep-learning algorithm and a simplified risk score to identify the
top neurocognitive test scores to classify normal control, early MCI, late MCI, and AD. We …

… Deep Learning is quickly becoming the algorithm of choice for the highest predictive … scoring
model based on deep learning and feature selection to evaluate the applicant’s credit score …

… technologies for score recognition. To … score image, a deep learning-based music score
recognition model is proposed. The model employs a deep network, accepts the entire score …

… First, we construct scoring functions to determine … scoring functions are able to correctly
reflect the importance of words for the prediction. • 2. Our scoring functions calculate word scores …

… scoring functions, including the four used in this paper, OPUS-CA, DOPE, DFIRE, and RW.
For these four scoring functions… Since the true GDT_TS scores of models are in the range [0-1] …

… Although deep learning models have not been applied extensively in credit scoring literature,
… encompasses, statistical learning, traditional machine learning and deep learning models. …