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1.
Information Bottleneck Theory and Applications in Deep Learning by
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2.
Artificial Neural Networks and Evolutionary Computation in Remote Sensing by
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3.
Optics for AI and AI for Optics by
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Innovative Topologies and Algorithms for Neural Networks by
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Artificial Neural Networks in Agriculture by
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6.
Neural Masses and Fields: Modelling the Dynamics of Brain Activity by
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7.
Natural Language Processing: Emerging Neural Approaches and Applications by
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8.
Computation in Complex Networks by
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9.
Applications of Computer Vision in Automation and Robotics by
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10.
Statistical Methods for the Analysis of Genomic Data by
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11.
Artificial Neural Networks as Models of Neural Information Processing by
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12.
Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment by
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13.
Information Theory in Neuroscience by
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14.
Artificial Intelligence Applications to Smart City and Smart Enterprise by
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15.
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by
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16.
Computational Optimizations for Machine Learning by
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17.
Intelligent Transportation Related Complex Systems and Sensors by
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18.
Applied Mathematics and Computational Physics by
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19.
Energy Data Analytics for Smart Meter Data by
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20.
Learning to Understand Remote Sensing Images by
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