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IEEE/ICACT20240372 Slide.05        [Big Slide]	Oral Presentation
	Multiple instance learning (MIL) is a machine learning paradigm that has gained attention for its applicability in many areas, including image classification, drug activity prediction, text classification, and object recognition in computer vision, among others MIL is a weakly supervised learning approach that deals with specific types of problems and is helpful in cases where the supervised methods are unsuitable because of the lack of colossal labels or annotations in the dataset. In MIL, training data is organized into bags with instances. An instance can be either positive (belonging to a specific target class) or negative (not belonging to the target class).

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