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Lawrence B. Holder

Washington State University
University of Texas at Arlington

235

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5021

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ITeM: Independent temporal motifs to summarize and compare temporal networks

2022 Intelligent Data Analysis
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Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach

2021 BMC Bioinformatics
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Partnering a Compensatory Application with Activity-Aware Prompting to Improve Use in Individuals with Amnestic Mild Cognitive Impairment: A Randomized Controlled Pilot Clinical Trial.

2021 Journal of Alzheimer's Disease
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Towards a Unifying Framework for Formal Theories of Novelty.

2021 AAAI | National Conference on Artificial Intelligence
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But will they use it? Factors influencing sustained use of a digital memory notebook application by individuals with mild cognitive impairment: Neuropsychiatry and behavioral neurology/non‐pharmacologic interventions

2020 Alzheimers & Dementia
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ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks

2020 arXiv: Social and Information Networks
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Graph Filtering to Remove the "Middle Ground" for Anomaly Detection

2020 Big Data | International Conference on Big Data
- William Eberle
- Lawrence B. Holder
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Efficient frequent subgraph mining on large streaming graphs

2019 IDA | Intelligent Data Analysis
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On Graph Mining With Deep Learning: Introducing Model R for Link Weight Prediction

2019 SOCO | Soft Computing
- Yuchen Hou
- Lawrence B. Holder
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Improving IoT Predictions through the Identification of Graphical Features

2019 Sensors
- Syeda Selina Akter
- Lawrence B. Holder
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