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1. Visual Characteristics for Computational Prediction of Aesthetics and Evoked Emotions

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2. Context Modeling for Semantic Text Matching and Scene Text Detection

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3. On a Computation Model for Human and Machine Symmetry Perception

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Open Access

4. Tailored Algorithms for Synthetic Aperture Image Formation and Analysis

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5. Understanding Hydrologic Functions of Water Storage and Soil Moisture and Improving Predictive Capability using Big Data Machine Learning Methods

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Open Access

6. Scene Text Understanding in Natural Images With Convolutional Neural Networks

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Open Access

7. Robust Text Spotting in Natural Images with Deep Neural Networks

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8. Informed Learning for Image Restoration and Understanding

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9. Domain Enriched Learning for Brain Image Analysis

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10. Modeling, Prediction and Control of Engineering Systems with Long Short-Term Memory

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11. ATOMISTIC LEVEL INVESTIGATION OF DISSOLUTION, PRECIPITATION AND SURFACE DIFFUSION DYNAMICS AT THE AQUEOUS INTERFACES USING REAXFF AND APPLICATION OF DEEP LEARNING TO FORCE FIELD PARAMETERIZATION

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12. Towards a Proactive Real-Time Data-Driven Musculoskeletal Disorders Prevention Approach in Construction

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13. Beyond Accurate Graph Neural Networks

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14. Towards Designing Accurate Detection Methods for Emerging Cyber Threats

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15. Uncertainty Quantification for Photovoltaic Energy Production Using Analog Ensemble

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16. Learning to Learn with Structured Knowledge

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17. Automated Construction Progress Monitoring using Image Segmentation and Building Information Models

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18. Deep Learning Approach to Large-Scale Systems

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19. Applications of Deep Learning on Temporal and Graph Data Mining

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20. Robotic Green Fruit Thinning for Apple Production

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