Deep learning.
Overview
| Works: | 101 works in 0 publications in 0 languages | |
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Titles
Predicting Head Motions During Brain MRI Scans Using Deep Learning Models.
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Optimization of Geospatial Data Modelling for Crop Production by Integrating Proximal Soil Sensing and Remote Sensing Data.
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Natural Language Processing and Graph Representation Learning for Clinical Data.
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A Novel Approach for Improving the Quality of Data Using Aggregation Mechanism.
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Modeling Multivariate Time-Series Variables in Healthcare Using Deep Learning Methods.
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Traffic Fatality Rate Prediction Based on Deep Neural Network and Bayesian Neural Network.
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Learning to Generate and Differentiate 3D Objects Using Geometry & Language.
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Algorithmic Techniques for Neural Network Training on Memory-Constrained Hardware.
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A Cis-Regulatory Lexicon of Dna Motif Combinations Mediating Cell Type-Specific Gene Regulation.
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Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems.
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Predicting the Functional Impact of de Novo Mutations in Human Diseases and Disorders.
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The Signal in the Noise: Developing Tools to Extract Meaning from Biological Variation.
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Integrating Physical and Data-Driven Perspectives on Building Energy Performance: A Tale of Two Cities.
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Visual Analysis of the Product Supply Chain in Smart Manufacturing and Industry 4.0.
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Studies on the Use of Machine Learning Algorithms for Analysis and Design of Materials at Multiple Length Scales.
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Inferencing User Characteristics and Behaviors from Social Media with Applications in Regulatory Science.
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Artificial Neural Network-Based Surrogate Modelling Methods in Accelerating Topology Optimization Process for Large-Scale Designs.
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A Comparative Study of Deep Learning Architectures for Multivariate Cloud Workload Prediction = = COk Degiskenli Bulut is Yuku Tahmini Icin Derin Ogrenme Mimarilerinin Karsilastirmali Calismasi.
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GAN-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans.
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Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning.
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Application of Neural Language Models for Research Article Classification into Sustainable Development Goals.
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An Investigation on the Resilience of Long Short-Term Memory Deep Neural Networks.
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New Deep Neural Networks for Unsupervised Feature Learning on Graph Data.
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Fault Diagnosis for Wind Turbine Systems by Using Neural Network and Deep Learning Techniques.
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Predicting, Engineering and Interpreting Gene Regulatory Sequences and Proteins with Deep Learning.
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Towards Adversarial and Non-Adversarial Robustness of Machine Learning and Signal Processing: Fundamental Limits and Algorithms.
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A Deep Learning Based Approach to Sketch Recognition and Model Transformation for Requirements Elicitation and Modelling.
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Internet of Things (IoT) Anomaly Detection Using Machine Learning Techniques: Parameter Optimization and Algorithm Comparison.
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Deep Reinforcement Learning Methods for Autonomous Driving Safety and Interactivity.
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Turning Visual Noise into Hardware Efficiency: Systems of Viewer and Content Aware Power-Quality Scalable Embedded Memories with Ecc-Adaptation for Big Videos and Deep Learning.
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Efficient Provisioning of Virtual Network Functions Via Machine Learning.
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Machine Vision Methods for Evaluating Plant Stand Count and Weed Classification Using Open-Source Platforms.
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Training Deep Neural Networks and Solving Differential Equations Using Neuromorphic Photonics.
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Deep Learning for Large-Scale MIMO: An Intelligent Wireless Communications Approach.
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Generalized Hate Speech Detection on Social Media = = איתור תכני שנאה ברשתות חברתיות.
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Neuromorphic Systems for Pattern Recognition and UAV Trajectory Planning.
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UAV Trajectory and Radio Resource Optimization for Cached UAV Wireless Networks: Data Driven Learning Approach.
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Identification and Classification of Radio Pulsar Signals Using Machine Learning.
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Leveraging Multi-Source Remote Sensing Images and Deep Learning to Map Caribou Lichens.
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Imagination-Augmented Deep Reinforcement Learning for Robotic Applications.
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Artificial Intelligence Applied to Facial Image Analysis and Feature Measurement.
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Towards a Resilient and Intelligent Energy Management System Design for Distribution Networks with High Renewable Energy Penetration.
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New Model-Based and Deep Learning Methods for Survival Data with or Without Competing Risks.
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Unsupervised Generative Chord Representation Learning and its Effect on Novelty-Creativity and Fidelity-Standards.
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Distributed Deep Learning in Iot : = Splitting Neural Networks in Inference and Training.
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High Resolution 3D Mapping of the Oxytocin System Across Time and Space in the Mouse Brain.
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Real-Time Hierarchical Classification of Motion Intent for Wearable Robotics.
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AI in Education : = Effective Machine Learning Methods to Improve Data Scarcity and Knowledge Generalization.
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Mathematical Language Processing : = Deep Learning Representations and Inference Over Mathematical Text.
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A Representation-Based Approach to Connect Regular Grammar and Deep Learning.
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Incorporating Social Information into an Autonomous Vehicle's Decision-Making Process and Control.
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Machine Learning and Vision Using Edge Devices for Multimodal Chatbots and Bio-meteorological Sensing.
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A Deep Learning Approach to LncRNA Subcellular Localization Using Inexact q-mer.
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