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Deep Open Representative Learning for Image and Text Classification
(2020)
representatives of the discovery process from data to the knowledge that can be used to perform reasoning. In this dissertation, a novel model named Class Representative Learning (CRL) is proposed, a class-based classifier designed with the following unique...
Software Analytics for Improving Program Comprehension
(2021)
structure and implementation. In recent years, software static analysis studies have emerged to facilitate program comprehensions, such as call graphs, which represent the system’s structure and its implementation as a directed graph. Furthermore, some...
StoryNet: A 5W1H-based knowledge graph to connect stories
(2021)
embeddings were used and both were compared using an ensemble score (average of CoLA, SST-2, MRPC, QQP, STS-B, MNLI, QNLI, and RTE) along with BLEU and ROUGE scores. A few approaches are studied for training-based analysis - using BERT, Roberta, XLNet, ALBERT...