Search Results for author: Robert Stewart

Found 17 papers, 4 papers with code

Logic of Differentiable Logics: Towards a Uniform Semantics of DL

no code implementations19 Mar 2023 Natalia Ślusarz, Ekaterina Komendantskaya, Matthew L. Daggitt, Robert Stewart, Kathrin Stark

A DL consists of a syntax in which specifications are stated and an interpretation function that translates expressions in the syntax into loss functions.

Network robustness as a mathematical property: training, evaluation and attack

no code implementations29 Sep 2021 Marco Casadio, Matthew L Daggitt, Ekaterina Komendantskaya, Wen Kokke, Robert Stewart

We also perform experiments to compare the applicability and efficacy of different training methods for ensuring the network obeys these different definitions.

Benchmarking Quantized Neural Networks on FPGAs with FINN

1 code implementation2 Feb 2021 Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart

FINN and Brevitas, two frameworks from Xilinx labs, are used to assess the impact of quantization on neural networks using 2 to 8 bit precisions and weights with several parallelization configurations.

Benchmarking Quantization

Bombus Species Image Classification

no code implementations9 Jun 2020 Venkat Margapuri, George Lavezzi, Robert Stewart, Dan Wagner

Entomologists, ecologists and others struggle to rapidly and accurately identify the species of bumble bees they encounter in their field work and research.

Classification General Classification +2

Comparative Analysis of Text Classification Approaches in Electronic Health Records

no code implementations WS 2020 Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts

Text classification tasks which aim at harvesting and/or organizing information from electronic health records are pivotal to support clinical and translational research.

General Classification text-classification +1

Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records

no code implementations LREC 2020 Jaya Chaturvedi, Natalia Viani, Jyoti Sanyal, Chloe Tytherleigh, Idil Hasan, Kate Baird, Sumithra Velupillai, Robert Stewart, Angus Roberts

The purpose of this analysis was to understand the complexity of medication mentions and their associated temporal information in the free text of EHRs, with a specific focus on the mental health domain.

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR

no code implementations7 Feb 2020 Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard Dobson

Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records.

The side effect profile of Clozapine in real world data of three large mental hospitals

no code implementations27 Jan 2020 Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard Dobson, Zina Ibrahim

Further, the data was combined from three trusts, and chi-square tests were applied to estimate the average effect of ADRs in each monthly interval.


Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics

no code implementations8 Aug 2019 Dalton Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert Stewart

By taking advantage of Apache Spark, Nvidia DGX1, and DGX2 computing platforms, we demonstrate unprecedented compute speed-ups for deep learning inference on pixel labeling workloads; processing 21, 028~Terrabytes of imagery data and delivering an output maps at area rate of 5. 245sq. km/sec, amounting to 453, 168 sq. km/day - reducing a 28 day workload to 21~hours.

Semantic Segmentation

Time Expressions in Mental Health Records for Symptom Onset Extraction

2 code implementations WS 2018 Natalia Viani, Lucia Yin, Joyce Kam, Ayunni Alawi, Andr{\'e} Bittar, Rina Dutta, Rashmi Patel, Robert Stewart, Sumithra Velupillai

Natural Language Processing (NLP) methods can be used to extract this data, in order to identify symptoms and treatments from mental health records, and temporally anchor the first emergence of these.

Temporal Information Extraction

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