Evaluating explainability for graph neural networks by Chirag Agarwal, Owen Queen, Himabindu Lakkaraju, Marinka Zitnik

“…Abstract As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. …”
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Strategies for training optical neural networks by Yang Qipeng, Bai Bowen, Hu Weiwei, Wang Xingjun

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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…Modern statistical packages and the MATLAB environment were used.Results and discussion.The conducted comparative analysis showed a 3-layer recurring network of direct distribution to be the most suitable neural network architecture. The optimal structure of the neural network was found to be: 27–6–1 (i.e. 27 neurons are used at the entrance; 6 — in a hidden layer; 1 — in the output layer). …”
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Aesthetics and neural network image representations by Romuald A. Janik

“…Abstract We analyze the spaces of images encoded by generative neural networks of the BigGAN architecture. We find that generic multiplicative perturbations of neural network parameters away from the photo-realistic point often lead to networks generating images which appear as “artistic renditions” of the corresponding objects. …”
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Innovative Topologies and Algorithms for Neural Networks by Salvatore Graziani, Maria Gabriella Xibilia

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Entanglement detection with artificial neural networks by Naema Asif, Uman Khalid, Awais Khan, Trung Q. Duong, Hyundong Shin

“…This method encodes multiple Bell-type inequalities for the relative entropy of coherence into an artificial neural network to detect the entangled and separable states in a quantum dataset.…”
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Neural Networks and Betting Strategies for Tennis by Vincenzo Candila, Lucio Palazzo

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Evidence-Based Regularization for Neural Networks by Giuseppe Nuti, Andreea-Ingrid Cross, Philipp Rindler

Subjects: “…neural networks…”
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Methods for Pruning Deep Neural Networks by Sunil Vadera, Salem Ameen

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Acne Detection by Ensemble Neural Networks by Hang Zhang, Tianyi Ma

“…Here, we provide an ensemble neural network composed of two modules: (1) a classification module aiming to calculate the acne severity and number; (2) a localization module aiming to calculate the detection boxes. …”
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Activation-Based Pruning of Neural Networks by Tushar Ganguli, Edwin K. P. Chong

“…Further analysis demonstrated that activation-based pruning can be considered a dimensionality reduction technique, as it leads to a sparse low-rank matrix approximation for each hidden layer of the neural network. We also demonstrate that the rank-reduced neural network generated using activation-based pruning has better accuracy than a rank-reduced network using principal component analysis. …”
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Chaotic neural network for information security by HT Baby, ME Raghu

Subjects: “…Neural network…”
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Neural Networks for Driver Behavior Analysis by Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Antonella Santone

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On the visual analytic intelligence of neural networks by Stanisław Woźniak, Hlynur Jónsson, Giovanni Cherubini, Angeliki Pantazi, Evangelos Eleftheriou

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Quantum codes from neural networks by Johannes Bausch, Felix Leditzky

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FocusedDropout for Convolutional Neural Network by Minghui Liu, Tianshu Xie, Xuan Cheng, Jiali Deng, Meiyi Yang, Xiaomin Wang, Ming Liu

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Application of Neural Networks to Power Analysis by Alla Levina, Roman Bolozovskii

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Low-depth optical neural networks by Xiao-Ming Zhang, Man-Hong Yung

Subjects: “…optical neural networks…”
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Artificial Neural Networks for Flexible Pavement by Ramin Bayat, Siamak Talatahari, Amir H. Gandomi, Mohammadreza Habibi, Babak Aminnejad

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Bayesian Reasoning with Trained Neural Networks by Jakob Knollmüller, Torsten A. Enßlin

“…We showed how to use trained neural networks to perform Bayesian reasoning in order to solve tasks outside their initial scope. …”
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