Completed

Citation recommendation is the task of determining the most relevant citations for a given piece of text in a specific domain. Due to the large number of documents published continuously, it is not easy to find the relevant documents for a topic. In this project, you will design and implement a deep learning-based model for citation recommendation in the domain of scientific publications.

Some of the related papers in this task are listed below:

Automated Machine Learning (AutoML) consists of stages to automate the entire pipeline of machine learning. AutoML is especially useful for teams/organizations that does not necessarily have sufficient expertise on the  AI/ML domain but expected to implement practical ML applications based on given data sources. There are already a variety frameworks for AutoML such as H2O, TPOT, Auto-SKLearn and AutoGluon.

The first step in nearly all natural language processing (NLP) applications is applying preprocessing operations [1] to the text. Preprocessing operations include tokenization (segmenting the text into tokens), sentence splitting (dividing the text into sentences), normalization (converting the text into a canonical form), and the like. In this project, you will develop and implement algorithms for preprocessing of Turkish text using deep learning approaches. First, a literature review will be conducted and similar systems for English will be analyzed (e.g. UDPipe [2], Stanza [3]).

    In this project, you will design and implement a web service to publish senior project offers from faculty to students and disseminate the project results to a wider audience.

    Roadmap:

    - Requirements collection (talk with your fellow students and faculty)
    - Survey of available technologies
    - Designing the service according to requirements and available technologies
    - Implementation and testing

    Other notes:

Wearable devices can capture multimodal data corresponding to a person’s activity, stress, and sleep information to measure and improve health and well-being. Besides device measurement, there are also survey data as another information-gathering methodology. These can be related to gold standard questionnaires for sleep and st. Also, it may include some subjective assessments related to health satisfaction, overall health, happiness, diet, etc. In this project, the aim is to apply state-of-the-art deep learning techniques such as CNN, GNN and LSTM.