Browsing Electronic Engineering and Computer Science by Title
Now showing items 2818-2837 of 3475
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SemEval-2021 Task 12: Learning with Disagreements
(2021-01-01)Disagreement between coders is ubiquitous in virtually all datasets annotated with human judgements in both natural language processing and computer vision. However, most supervised machine learning methods assume that a ... -
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
(2023-01-01)The paper contains examples which are offensive in nature. nlp datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments ... -
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
(2023-04-28) -
Semi-Centralized Optimization for Energy Efficiency in IoT Networks With NOMA
(IEEE, 2022-12-06) -
SEMI-SUPERVISED FEW-SHOT LEARNING WITH PSEUDO LABEL REFINEMENT
(2021-01-01)Few-shot classification aims at recognising novel categories with very limited labelled samples. Although substantial achievements have been obtained, few-shot classification remains challenging due to the scarcity of ... -
Semi-Supervised Learning under Class Distribution Mismatch
(Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved., 2020)Semi-supervised learning (SSL) aims to avoid the need for collecting prohibitively expensive labelled training data. Whilst demonstrating impressive performance boost, existing SSL methods artificially assume that small ... -
Sentiment analysis of Arabic social media texts: A machine learning approach to deciphering customer perceptions
(Elsevier, 2024-05-01)entiment analysis (SA) is a subfield of artificial intelligence that entails natural language processing. This has become increasingly significant because it discerns the emotional tone of reviews, categorising them as ... -
Separation of line drawings based on split faces for 3D object reconstruction
(2014-01-01)© 2014 IEEE. Reconstructing 3D objects from single line drawings is often desirable in computer vision and graphics applications. If the line drawing of a complex 3D object is decomposed into primitives of simple shape, ... -
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.
(2019-03)Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography epochs one at a time. In this paper, we tackle the task as a ... -
SerenA: A multi-site pervasive agent environment that supports serendipitous discovery in research
(2013-11-11)We present SerenA, a multi-site, pervasive, agent environment that suppers serendipitous discovery in research. The project starts from the premise that human users cannot be aware of all the research information that is ...