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Assessing the potential for deep learning and computer vision to identify bumble bee species from images

Scientific reports, 2021-04, Vol.11 (1), p.7580-7580, Article 7580

2021

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Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (3), p.343

2018

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Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification

2023 International Conference on Machine Learning and Applications (ICMLA), 2023, p.744-751

2023

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Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.6455-6462

2021

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Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning

Information sciences, 2004-06, Vol.163 (1), p.103-122

Hsu, William H.

2004

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A machine learning approach to algorithm selection for NP-hard optimization problems: a case study on the MPE problem

Annals of operations research, 2007-12, Vol.156 (1), p.61

2007

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Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches

2020 International Conference on Systems, Signals and Image Processing (IWSSIP), 2020, p.243-248

2020

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Answer-Agnostic Question Generation in Privacy Policy Domain using Sequence-to-Sequence and Transformer Models

2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT), 2021, p.256-261

2021

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Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks

2023 IEEE International Conference on Intelligence and Security Informatics (ISI), 2023, p.1-6

2023

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A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams

2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019, p.871-878

2019

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Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem

Genetic Programming, 2001, p.291-301

2001

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HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks

2021 IEEE International Conference on Big Data (Big Data), 2021, p.4113-4118

2021

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A learning-based algorithm selection meta-reasoner for the real-time MPE problem

Lecture notes in computer science, 2004, p.307-318

2004

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Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network

2021 IEEE International Conference on Intelligence and Security Informatics (ISI), 2021, p.1-6

2021

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AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework

Artificial Neural Networks and Machine Learning - ICANN 2022, 2022, Vol.13530, p.358-370

2022

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Relational Graphical Models of Computational Workflows for Data Mining

Lecture notes in computer science, 2004, p.309-310

2004

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High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application

Data mining and knowledge discovery, 2002-10, Vol.6 (4), p.361

2002

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Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019, Vol.2, p.41-46

2019

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A Multistrategy Approach to Classifier Learning from Time Series

Machine learning, 2000-01, Vol.38 (1-2), p.213-216

2000

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A machine learning approach to algorithm selection for $\mathcal{NP}$ -hard optimization problems: a case study on the MPE problem

Annals of operations research, 2007-09, Vol.156 (1), p.61-82

2007

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An ACO algorithm for the most probable explanation problem

Lecture notes in computer science, 2004, p.778-790

2004

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Text Extraction from the Web via Text-to-Tag Ratio

2008 19th International Workshop on Database and Expert Systems Applications, 2008, p.23-28

2008

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Constraint-Based Neural Question Generation Using Sequence-to-Sequence and Transformer Models for Privacy Policy Documents

International Journal of Knowledge Engineering, 2021, p.14-20

2021

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Computational knowledge and information management in veterinary epidemiology

2010 IEEE International Conference on Intelligence and Security Informatics, 2010, p.120-125

2010

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Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach

International journal of artificial life research, 2011-04, Vol.2 (2), p.42-76

2011

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Assessing the potential for deep learning and computer vision to identify bumble bee species from images

Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques

Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification

Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks

Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning

A machine learning approach to algorithm selection for NP-hard optimization problems: a case study on the MPE problem

Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches

Answer-Agnostic Question Generation in Privacy Policy Domain using Sequence-to-Sequence and Transformer Models

Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks

A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams

Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem

HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks

A learning-based algorithm selection meta-reasoner for the real-time MPE problem

Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network

AMMUNIT: An Attention-Based Multimodal Multi-domain UNsupervised Image-to-Image Translation Framework

Relational Graphical Models of Computational Workflows for Data Mining

High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science

A Multistrategy Approach to Classifier Learning from Time Series

A machine learning approach to algorithm selection for $\mathcal{NP}$ -hard optimization problems: a case study on the MPE problem

An ACO algorithm for the most probable explanation problem

Text Extraction from the Web via Text-to-Tag Ratio

Constraint-Based Neural Question Generation Using Sequence-to-Sequence and Transformer Models for Privacy Policy Documents

Computational knowledge and information management in veterinary epidemiology

Mitigation Strategies for Foot and Mouth Disease: A Learning-Based Approach

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