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Automatic Contact Tracing using Bluetooth Low Energy Signals and IMU Sensor Readings
In this report, we present our solution to the challenge provided by the SFI Centre for Machine Learning (ML-Labs) in which the distance between two phones needs to be estimated.
Detecting Parking Spaces in a Parcel using Satellite Images
Remote Sensing Images from satellites have been used in various domains for detecting and understanding structures on the ground surface.
Saama Research at MEDIQA 2019: Pre-trained BioBERT with Attention Visualisation for Medical Natural Language Inference
Natural Language inference is the task of identifying relation between two sentences as entailment, contradiction or neutrality.
Ranked #5 on
Natural Language Inference
on MedNLI
Compositional Attention Networks for Interpretability in Natural Language Question Answering
Our experiments with 20 bAbI tasks demonstrate the value of MAC net as a data-efficient and interpretable architecture for Natural Language Question Answering.
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text
Our objective in designing such a model, is to exploit the local linguistic context in clinical text and enable intra-sequence interaction, in order to jointly learn to classify drug and disease entities, and to extract adverse reactions caused by a given drug.
