Machine learning methods for small data challenges in molecular science
B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
Toward a Short Text Classification Framework Based on Background Knowledge Discovery
I Taksa - Proceedings on the International Conference on …, 2015 - search.proquest.com
The ubiquitous, diverse and growing impact of digital living creates a massive amount of
short text--a search query, a twit or a caption. Short text frequently presents itself as an …
short text--a search query, a twit or a caption. Short text frequently presents itself as an …
Automatic coronary calcium scoring in multi-center lung cancer screening trial
ER Reinders - 2014 - studenttheses.uu.nl
Machine learning plays an essential role in medical image analysis. Supervised machine
learning methods typically assume that the training data and task data have an identical …
learning methods typically assume that the training data and task data have an identical …
Temporal and Contextual Evaluation of Background Knowledge Discovery for Short Text Classification
I Taksa, S Zelikovitz, A Spink - International Journal of Organizational …, 2012 - igi-global.com
Background Knowledge (BK) plays an essential role in machine learning for short-text and
non-topical classification. In this paper the authors present and evaluate two Information …
non-topical classification. In this paper the authors present and evaluate two Information …