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Found 9 papers, 1 papers with code
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification
As the RoCoLe dataset is imbalanced and does not have many samples, fine-tuning of pre-trained models and multiple augmentation techniques need to be used.
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
Through our experiments, we determine that on a benchmark dataset, the robustness can be the price of the classification accuracy with performance reductions of 3%-20% for regular tests and gains of 50%-70% for adversarial attack tests.
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition
Lip reading or visual speech recognition has gained significant attention in recent years, particularly because of hardware development and innovations in computer vision.
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
By adding classification heads at each level of the transformer and employing a cascading distillation process, we improve the balanced multi-class accuracy of the base model by 2. 1%, while creating a range of models of various sizes but comparable performance.
From Fake to Hyperpartisan News Detection Using Domain Adaptation
In the current work, we explore the effects of various unsupervised domain adaptation techniques between two text classification tasks: fake and hyperpartisan news detection.
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
Satire detection and sentiment analysis are intensively explored natural language processing (NLP) tasks that study the identification of the satirical tone from texts and extracting sentiments in relationship with their targets.
RoBERTweet: A BERT Language Model for Romanian Tweets
Developing natural language processing (NLP) systems for social media analysis remains an important topic in artificial intelligence research.
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text related to the main topic.
oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain
Understanding questions and answers in QA system is a major challenge in the domain of natural language processing.
