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Skip to Search Results- 36Zaiane, Osmar (Computing Science)
- 2Goebel, Randy (Computing Science)
- 1Bolduc, Francois (Pediatrics)
- 1Gross, Douglas (Physical Therapy)
- 1Günther, Johannes (Computing Science)
- 1Hu, Bryan (Electrical and Computer Engineering)
- 2Dziri, Nouha
- 1Abnar, Afra
- 1Adilmagambetov, Aibek
- 1Ahmed, Farrukh
- 1Alam Anik, Md Tanvir
- 1Austin, Eric
- 8Machine Learning
- 6Natural Language Processing
- 3Associative Classification
- 2Association Rules
- 2Community Detection
- 2Community Mining
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Fall 2022
Topic modelling seeks to uncover the conceptual and thematic content of collections of documents. These topics can be used as features for document indexing and classification. However, topic models are increasingly important as tools of applied research. As we seek to develop agents capable of...
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Spring 2023
Dialogue systems powered by large pre-trained language models exhibit an innate ability to deliver fluent and natural-sounding responses. Despite their impressive performance, these models fail to conduct interesting and consistent exchanges of turns and can often generate factually incorrect...
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Fall 2022
Medical Fake News is a pervasive part of the information that people consume on the internet. It may lead people to take actions which may put the lives of their family and community in danger - such actions include vaccine hesitancy, administering unverified and harmful treatments, etc. First...
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Spring 2023
Traditional survey based methods for clinical depression detection are not always effective; the patient may not reflect their actual mental health condition because of the cognitive bias exhibited while filling out questionnaires about depression. Established through ample earlier work, social...
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Fall 2023
Giving reasons for justifying the decisions made by classification models has received less attention in recent artificial intelligence breakthroughs than improving the accuracy of the models. Recently, AI researchers are paying more attention to filling this gap, leading to the introduction of...
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Spring 2019
Online advertising is one of the most lucrative forms of advertising, with digital ad-spending expected to reach $83 billion in 2017, making it one of the most important channels of advertising media. Contextual Advertising is a type of online display advertising that takes cues from the content...