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Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity.

, , , , , and . SemEval@COLING, page 281-285. International Committee for Computational Linguistics, (2020)

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PCA and LDA in DCT domain., , and . Pattern Recognit. Lett., 26 (15): 2474-2482 (2005)DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning., , , , and . CoRR, (2022)Double-Fine-Tuning Multi-Objective Vision-and-Language Transformer for Social Media Popularity Prediction., , , , , and . ACM Multimedia, page 9462-9466. ACM, (2023)Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection., , , , , , , , , and . ACM Multimedia, page 4575-4579. ACM, (2020)Optimization of Capacity Utilization of High-Speed Railway Network., , , and . ICITE, page 224-228. IEEE, (2020)Evolution of Publications, Subjects, and Co-Authorships in Network-on-Chip Research From a Complex Network Perspective., , , , , , , , and . IEEE Access, (2021)Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals., , , , , and . SemEval@COLING, page 653-657. International Committee for Computational Linguistics, (2020)Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines., , , , , and . SemEval@COLING, page 1008-1012. International Committee for Computational Linguistics, (2020)Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy., , , , , and . SemEval@COLING, page 1348-1353. International Committee for Computational Linguistics, (2020)Illumination compensation and normalization using logarithm and discrete cosine transform., , and . ICARCV, page 380-385. IEEE, (2004)