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Found 8 papers, 1 papers with code
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning
We study the use of semi-supervised as well as supervised approaches for anomaly detection.
Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering
When analyzing surveys with open-ended textual responses, it is extremely time-consuming, labor-intensive, and difficult to manually process all the responses into an insightful and comprehensive report.
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution framework to generate continuous (grid-free) spatio-temporal solutions from the low-resolution inputs.
A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
Representing the reservoir as a network of discrete compartments with neighbor and non-neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs.
Neural Abstractive Text Summarization and Fake News Detection
In this work, we study abstractive text summarization by exploring different models such as LSTM-encoder-decoder with attention, pointer-generator networks, coverage mechanisms, and transformers.
End-To-End Alzheimer's Disease Diagnosis and Biomarker Identification
As shown in computer vision, the power of deep learning lies in automatically learning relevant and powerful features for any perdition task, which is made possible through end-to-end architectures.
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
In this work, we use a deep learning framework for simultaneous classification and regression of Parkinson disease diagnosis based on MR-Images and personal information (i. e. age, gender).
Clinical Parameters Prediction for Gait Disorder Recognition
Being able to predict clinical parameters in order to diagnose gait disorders in a patient is of great value in planning treatments.
