Search Results for author:
Found 6 papers, 5 papers with code
Systematically designing better instance counting models on cell images with Neural Arithmetic Logic Units
These numerically biased units are added in the form of residual concatenated layers to original architectures and a comparative experimental study is done with these newly proposed changes.
Anomalous Motion Detection on Highway Using Deep Learning
The advent of self-driving cars provides an opportunity to apply visual anomaly detection in a more dynamic application yet no dataset exists in this type of environment.
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification
Finally, we carry out two-step stance predictions that first differentiate non-relevant rationales and then identify supporting or refuting rationales for a given claim.
Prediction of COVID-19 using chest X-ray images
COVID-19, also known as Novel Coronavirus Disease, is a highly contagious disease that first surfaced in China in late 2019.
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision
The system first matches the summarized user question with an FAQ from a trusted medical knowledge base, and then retrieves a fixed number of relevant sentences from the corresponding answer document.
Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans
Plant breeders and agricultural researchers can increase crop productivity by identifying desirable features, disease resistance, and nutritional content by analysing the Dry Bean dataset.
