3 Introduction 4 Initial Implementation 6 Deep Learning Implementation 8 Conclusion 11 Appendix 12 References 14

The segmentation of an argumentative text into argument units and their nonargumentative counterparts is the first step in identifying the argumentative structure of the text. Despite its importance for argument mining, unit segmentation has been approached only sporadically so far. This paper studies the major parameters of unit segmentation systematically. We explore the effectiveness of vari...

The classification of breast masses from mammograms into benign or malignant has been commonly addressed with machine learning classifiers that use as input a large set of hand-crafted features, usually based on general geometrical and texture information. In this paper, we propose a novel deep learning method that automatically learns features based directly on the optmisation of breast mass c...

background: study habits and skills are very important particularly in medical school which is characterized by heavy workload, heavy time commitments, and high stakes assessments. students’ approach to learning, which includes study habits, has an important impact on both the excellence of the learning and their academic success. the aim of this study was to evaluate the study habits of shiraz...

Deep learning is becoming an increasingly interesting and powerful machine learning method with successful applications in many domains, such as natural language processing, image recognition, and hand-written character recognition. Despite of its eminent success, limitations of traditional learning approach may still prevent deep learning from achieving a wide range of realistic learning tasks...