Ensemble deep learning for multilabel binary classification of user-generated content
Sentiment analysis usually refers to the analysis of human-generated content via a polarity
filter. Affective computing deals with the exact emotions conveyed through information …
filter. Affective computing deals with the exact emotions conveyed through information …
Text data augmentations: Permutation, antonyms and negation
G Haralabopoulos, MT Torres… - Expert Systems with …, 2021 - Elsevier
Text has traditionally been used to train automated classifiers for a multitude of purposes,
such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM …
such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM …
Multiple weak supervision for short text classification
LM Chen, BX Xiu, ZY Ding - Applied Intelligence, 2022 - Springer
For short text classification, insufficient labeled data, data sparsity, and imbalanced
classification have become three major challenges. For this, we proposed multiple weak …
classification have become three major challenges. For this, we proposed multiple weak …
Measuring the wisdom of the crowd: How many is enough?
V Walter, M Kölle, D Collmar - PFG–Journal of Photogrammetry, Remote …, 2022 - Springer
The idea of the wisdom of the crowd is that integrating multiple estimates of a group of
individuals provides an outcome that is often better than most of the underlying estimates or …
individuals provides an outcome that is often better than most of the underlying estimates or …
Objective assessment of subjective tasks in crowdsourcing applications
G Haralabopoulos, M Tsikandilakis… - … 2020 Workshop on" …, 2020 - centaur.reading.ac.uk
Labelling, or annotation, is the process by which we assign labels to an item with regards to
a task. In some Artificial Intelligence problems, such as Computer Vision tasks, the goal is to …
a task. In some Artificial Intelligence problems, such as Computer Vision tasks, the goal is to …
Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds
M Kölle, V Walter, U Sörgel - PFG–Journal of Photogrammetry, Remote …, 2024 - Springer
In recent years, significant progress has been made in developing supervised Machine
Learning (ML) systems like Convolutional Neural Networks. However, it's crucial to …
Learning (ML) systems like Convolutional Neural Networks. However, it's crucial to …
Privacy-Aware Crowd Labelling for Machine Learning Tasks
G Haralabopoulos, I Anagnostopoulos - arXiv preprint arXiv:2203.01373, 2022 - arxiv.org
The extensive use of online social media has highlighted the importance of privacy in the
digital space. As more scientists analyse the data created in these platforms, privacy …
digital space. As more scientists analyse the data created in these platforms, privacy …
Privacy-preserving text labelling through crowdsourcing
G Haralabopoulos, MT Torres… - … Conference on Artificial …, 2021 - Springer
The extensive use of online social media has highlighted the importance of privacy in the
digital space. As more scientists analyse the data created in these platforms, privacy …
digital space. As more scientists analyse the data created in these platforms, privacy …
Access to Mobile Phone Technology and its Effects on Livestock Markets Linkages in the Pastoral Drylands of Kenya
PK Chelang'a - 2024 - ir.jkuat.ac.ke
Market information plays an important role in the functioning of markets. The recurrence of
market information asymmetry and associated market failure has been a challenge in …
market information asymmetry and associated market failure has been a challenge in …
[PDF][PDF] COMPOSING MULTI-RELATIONS ASSOCIATION RULES FROM CROWDSOURCING REMUNERATION DATA.
SS SALLEH, N ZAKARIA, N JANOM… - Asia-Pacific Journal …, 2022 - journalarticle.ukm.my
In crowdsourcing, requesters are companies that require external workers to execute
specific tasks, whereas a platform acts as a mediator to match and allocate the tasks to …
specific tasks, whereas a platform acts as a mediator to match and allocate the tasks to …