2019.09.22 Neural papers

09-18-2019	Segregation Dynamics with Reinforcement Learning and Agent Based Modeling by Egemen Sert et al
09-18-2019	NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images by Pedro Machado et al
09-20-2019	Genetic Neural Architecture Search for automatic assessment of human sperm images by Erfan Miahi et al
09-19-2019	Explaining Visual Models by Causal Attribution by Álvaro Parafita et al
09-17-2019	K-TanH: Hardware Efficient Activations For Deep Learning by Abhisek Kundu et al
09-19-2019	Learning Optimal and Near-Optimal Lexicographic Preference Lists by Ahmed Moussa et al
09-20-2019	From feature selection to continues optimization by Hojjat Rakhshani et al
09-20-2019	An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution by Travis J. Desell et al
09-18-2019	Bifurcation Spiking Neural Network by Shao-Qun Zhang et al
09-17-2019	Algorithm for Training Neural Networks on Resistive Device Arrays by Tayfun Gokmen et al
09-17-2019	Generation mechanism of cell assembly to store information about hand recognition by Takahiro Homma
09-19-2019	An Introduction to Quaternion-Valued Recurrent Projection Neural Networks by Marcos Eduardo Valle et al
09-18-2019	Research Report on Automatic Synthesis of Local Search Neighborhood Operators by Mateusz Ślażyński
09-18-2019	Generating Local Search Neighborhood with Synthesized Logic Programs by Mateusz Ślażyński et al
09-18-2019	Long-Term Progress and Behavior Complexification in Competitive Co-Evolution by Luca Simione et al
09-20-2019	2-D Cluster Variation Method Free Energy: Fundamentals and Pragmatics by Alianna J. Maren
09-19-2019	Evaluation of Deep Species Distribution Models using Environment and Co-occurrences by Benjamin Deneu et al