Search Results for "-㎞구글-찌라시-@hhu9999-부산달리기1페이지노출-.mvn"

Satvik Chekuri

Satvik Chekuri is a Ph.D. student in the Department of Computer Science. His advisor is Edward Fox. Chekuri’s research focuses on developing knowledge-graphs for scholarly documents such as ETDs (electronic versions of theses and dissertations) to aid in downstream tasks including question-answering, semantic querying, and recommendations.

Javaid Akbar Manzoor

Javaid Akbar Manzoor was a master’s degree student in the Department of Computer Science. His advisor was Edward Fox. His research focus explores explores how to use deep learning to segment long scientific documents into chapters.

TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction

Sahiti Labhishetty, Ismini Lourentzou, Michael Jeffrey Volk, Shekhar Mishra, Huimin Zhao, Chengxiang Zhai: TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction. BIBM 2021: 1841-1848

Building A Large Collection of Multi-domain Electronic Theses and Dissertations

Sami Uddin, Bipasha Banerjee, Jian Wu, William A. Ingram, Edward A. Fox: Building A Large Collection of Multi-domain Electronic Theses and Dissertations. IEEE BigData 2021: 6043-6045

Online and Distributed Robust Regressions with Extremely Noisy Labels

Sanghani Center Student Spotlight: Mohannad Elhamod

As he was looking for Ph.D. programs in computer science, Mohannad Elhamod happened upon the Science-Guided Machine Learning lab headed by Anuj Karpatne, an assistant professor and faculty at the Sanghani Center. “I was very excited about the work he was doing and after attending a Graduate Preview Weekend where I was delighted by the diversity of academic […]

Franklin Liu

Franklin Liu is a Ph.D. student in the Department of Computer Science. His advisor is Chang-Tien Lu. The focus of Liu’s research is on natural language processing, specifically event extraction and text classification.

Larissa Basso

Larissa Djoufack Basso was a master’s degree student in the Department of Computer Science.  She was advised by Chang-Tien Lu. Her primary research focus is satellite image retrieval.

Medha Sawhney

Medha Sawhney is a Ph.D. student in the Department of Computer Science.  Her advisor is Anuj Karpatne. Her research involves analyzing and predicting cell behavior and interaction using machine learning concepts and pre-existing domain knowledge to enable data-driven discovery of new scientific knowledge in the field of mechanobiology.

Sanghani Center Student Spotlight: Jie Bu

Jie Bu, a Ph.D. student in computer science, has been interested in machine learning since he was an undergraduate in communications engineering at Harbin Institute of Technology, China. There he was introduced to the Random Forests (a machine learning model) and genetic algorithms which, Bu said, still hold great fascination for him. In his current […]