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02/15/2023
Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications
There is increasing interest in data-driven approaches for dynamically c...
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09/05/2022
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification
Deep learning approaches achieve state-of-the-art performance for classi...
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06/06/2022
Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations
There is growing interest in the automated extraction of relevant inform...
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08/10/2021
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Deep learning models achieve strong performance for radiology image clas...
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08/12/2020
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
While high-resolution pathology images lend themselves well to `data hun...
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10/16/2019
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding
We propose an architecture to jointly learn word and label embeddings fo...
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03/08/2019
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
Data for human-human spoken dialogues for research and development are c...
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01/29/2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Convolutional neural networks (CNNs) have enabled significant performanc...
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12/19/2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance...
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03/06/2018
