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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

PLoS medicine, 2018-11, Vol.15 (11), p.e1002695-e1002695

2018

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Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Journal of biomedical informatics, 2020-01, Vol.101, p.103337-103337, Article 103337

2020

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Big Data Workflows: Locality-Aware Orchestration Using Software Containers

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8212

2021

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Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization

2023 International Conference on Machine Learning and Applications (ICMLA), 2023, p.488-495

2023

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An adaptive algorithm for anomaly and novelty detection in evolving data streams

Data mining and knowledge discovery, 2018-11, Vol.32 (6), p.1597-1633

2018

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DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data

International journal of applied earth observation and geoinformation, 2024-02, Vol.126, p.103624, Article 103624

2024

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The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks

Distributed Applications and Interoperable Systems, p.74-89

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A Distributed Algorithm for Large-Scale Graph Partitioning

ACM transactions on autonomous and adaptive systems, 2015-06, Vol.10 (2), p.1-24

2015

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Distributed optimization of P2P live streaming overlays

Computing, 2012-09, Vol.94 (8-10), p.621-647

2012

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BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay

IEEE transactions on games, 2024-09, Vol.16 (3), p.722-734

2024

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Node Context Selection in Transformer-Based Graph Representation Learning Models

2022 IEEE International Conference on Big Data (Big Data), 2022, p.4625-4634

2022

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ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, p.241-249

2023

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CandyRL: A Hybrid Reinforcement Learning Model for Gameplay

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022, p.567-572

2022

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CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, p.1483-1490

2020

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Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval

2022 IEEE International Conference on Big Data (Big Data), 2022, p.4737-4745

2022

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TranSQL: A Transformer-based Model for Classifying SQL Queries

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022, p.788-793

2022

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Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 2022, p.1165-1171

2022

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Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders

2023 IEEE International Conference on Digital Health (ICDH), 2023, p.150-157

2023

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IL-GAN: Rare Sample Generation via Incremental Learning in GANs

GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022, p.621-626

2022

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Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

Internet of things (Amsterdam. Online), 2021-12, Vol.16, p.100440, Article 100440

2021

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Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement

Distributed Applications and Interoperable Systems, p.114-130

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Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale

2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2020, p.26-33

2020

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COCLUBERT: Clustering Machine Learning Source Code

2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, p.151-158

2021

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MarioDAgger: A Time and Space Efficient Autonomous Driver

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, p.1491-1498

2020

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Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models

Natural Language Processing and Information Systems, p.76-89

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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Deep learning for electronic health records: A comparative review of multiple deep neural architectures

Big Data Workflows: Locality-Aware Orchestration Using Software Containers

Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization

An adaptive algorithm for anomaly and novelty detection in evolving data streams

DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data

The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks

A Distributed Algorithm for Large-Scale Graph Partitioning

Distributed optimization of P2P live streaming overlays

BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay

Node Context Selection in Transformer-Based Graph Representation Learning Models

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

CandyRL: A Hybrid Reinforcement Learning Model for Gameplay

CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems

Fine-Tuning BERT-based Language Models for Duplicate Trouble Report Retrieval

TranSQL: A Transformer-based Model for Classifying SQL Queries

Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders

IL-GAN: Rare Sample Generation via Incremental Learning in GANs

Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement

Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale

COCLUBERT: Clustering Machine Learning Source Code

MarioDAgger: A Time and Space Efficient Autonomous Driver

Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models

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