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Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
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Biological Discovery via Data Science: Multigranular Artificial Intelligence Approaches for Cells, Cerebra and Cruise Ships
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning
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Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series
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Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and Observations
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Student Modeling in Intelligent Tutoring Systems
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Visually Mining Interesting Patterns in Multivariate Datasets
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A Database For Exploratory Analysis of Human Sleep
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Fexprs as the basis of Lisp function application; or, $vau: the ultimate abstraction
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Hypothesis-Driven Specialization-based Analysis of Gene Expression Association Rules
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Data Mining Techniques for Prognosis in Pancreatic Cancer
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Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment
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Exploratory Analysis of Human Sleep Data
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Mining Oncology Data: Knowledge Discovery in Clinical Performance of Cancer Patients
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Mining for Frequent Events in Time Series
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Incremental Maintenance Of Materialized XQuery Views
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Graphical Data Mining for Computational Estimation in Materials Science Applications
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Apriori Sets And Sequences: Mining Association Rules from Time Sequence Attributes
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Association Rule Based Classification
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Efficient Incremental View Maintenance for Data Warehousing
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Software Engineering Using design RATionale
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Semantic Caching for XML Queries
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An Efficient and Incremental System to Mine Contiguous Frequent Sequences
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DARM: Distance-Based Association Rule Mining
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Managing Schema Change in an Heterogeneous Environment
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Faster Training of Neural Networks for Recommender Systems
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Integration of Heterogeneous Databases: Discovery of Meta-Information and Maintenance of Schema-Restructuring Views
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Association Rule Mining for Collaborative Recommender Systems
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