MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data by Liangjie Wang, Yi-Chao Meng, Yiming Qian

“…Experimental validation with both simulated and in vivo datasets demonstrates that our method achieves better reconstructions with improved speed.…”
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IMPROVING INTRUSION DETECTION USING TREE ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING by Vũ Văn Cảnh, Hoàng Tuấn Hảo, Nguyễn Văn Hoàn

“…In the experiments, we used GP and Tree Adjoining Grammar Guided Genetic Programming (TAG3P) on artifical datasets suggested by Pham, Nguyen, and Nguyen (2014). …”
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3D Wavelet Subbands Mixing for Image Denoising by Pierrick Coupé, Pierre Hellier, Sylvain Prima, Charles Kervrann, Christian Barillot

“…Quantitative validation was carried out on synthetic datasets generated with the BrainWeb simulator. The results show that our NL-means filter with wavelet subbands mixing outperforms the classical implementation of the NL-means filter in terms of denoising quality and computation time. …”
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Natural Neighborhood-Based Classification Algorithm Without Parameter k by Ji Feng, Yan Wei, Qingsheng Zhu

“…Essentially, the challenge is to detect the neighborhood of various datasets while ignoring the data characteristics. This article introduces a new supervised classification algorithm, Natural Neighborhood Based Classification Algorithm (NNBCA). …”
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A Case of Persistent Bacillus cereus Bacteremia Responding to a Combination of Vancomycin and Gentamicin by Hiroshi Sasano, Toshihiro Yoshizawa, Mai Suzuki, Yukiko Fukui, Ryutarou Arakawa, Naoto Tamura, Toshio Naito

“…Since her blood cultures persistently detected B. cereus despite peripheral intravenous catheter replacement and VCM treatment, concomitant treatment with gentamicin (GM) was started. …”
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Embolization of a Duodenal Arteriovenous Malformation in Hereditary Hemorrhagic Telangiectasia: Case Report and Review of the Literature by Phil Inouye, Norman Marcon, Robin A Pugash, Robert H Hyland, Marie E Faughnan

“…The utility of trans-catheter embolization in the management of duodenal arteriovenous malformations in hereditary hemorrhagic telangiectasia is discussed.…”
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Bleomycin Sclerotherapy for Severe Symptomatic and Persistent Pelvic Lymphocele by Ana Sofia Fernandes, Antónia Costa, Raquel Mota, Vera Paiva

“…After four CT fluoroscopy scan guided percutaneous catheter drainages, the lymphocele complicated with infection finally resolved with two sessions of bleomycin sclerotherapy. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Mariana M. P. B. Fuentes

“…Independent validation datasets from Brazil and Qatar were used to assess model transferability. …”
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Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

“…These datasets were used to establish and train a deep learning GAN model. …”
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The Larva of Acanthognathus (Hymenoptera: Formicidae) by George C. Wheeler, Jeanette Wheeler

“…In 1953 Brown divided the tribe Dacetini into four subtribes: Dacetiti, Orectognathi, Epopostrumiti and Strumigenitio. …”
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Multiscale regional calibration network for crowd counting by Jiamao Yu, Hexuan Hu

“…Extensive experiments were conducted on three mainstream datasets to demonstrate the robustness and competitiveness of our approach.…”
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Multiview clustering method for view-unaligned data by Ao LI, Cong FENG, Yutong NIU, Shibiao XU, Yingtao ZHANG, Guanglu SUN

“…A new challenge for multi-view learning was posed by corrupted view-correspondences.To address this issue， an effective multi-view learning method for view-unaligned data was proposed.First，to capture cross-view latent affinity in multi-view heterogenous feature spaces，representation learning was employed based on multi-view non-negative matrix factorization to embed original features into a measurable low-dimensional subspace.Second, view-alignment relationships were modeled as optimal matching of a bipartite graph, which could be generalized to multiple-views situations via the proposed concept reference view.Representation learning and data alignment were further integrated into a unified Bi-level optimization framework to mutually boost the two learning processes, effectively enhancing the ability to learn from view-unaligned data.Extensive experimental results of view-unaligned clustering on three public datasets demonstrate that the proposed method outperforms eight advanced multiview clustering methods on multiple evaluation metrics.…”
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Building Analyses from Syntactic Inference in Local Languages: An HPSG Grammar Inference System by Kristen Howell, Emily M. Bender

“…System development was guided by 27 geneologically and geographically diverse languages, and we test the system's cross-linguistic generalizability on an additional 5 held-out languages, using datasets provided by field linguists. Our system out-performs three baseline systems in increasing coverage while limiting ambiguity and producing richer semantic representations, while also producing richer representations than previous work in grammar inference. …”
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VBioindex: A Visual Tool to Estimate Biodiversity by Dong Su Yu, Seung Hwa Yoo

“…VBioindex serves as an easy to use interface and visually represents the results in the form of a simple chart and in addition, VBioindex offers functions for long-term investigations of datasets using time-series analyses.…”
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Bayesian estimation of the likelihood of extreme hail sizes over the United States by Subhadarsini Das, John T. Allen

“…Here, we use a novel approach and multiple hail size datasets to develop a new Generalized Extreme Value model through a Bayesian framework to identify large hail-prone regions across the country at 0.25° × 0.25°. …”
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Recent Progress of Anomaly Detection by Xiaodan Xu, Huawen Liu, Minghai Yao

“…Then we conduct extensive experiments on public datasets to evaluate several typical and popular anomaly detection methods. …”
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Scale-free behavior of weight distributions of connectomes by Michelle Cirunay, Géza Ódor, István Papp, Gustavo Deco

“…However, for the case of the KKI-113 and the H01 human (1mm^{3}) datasets, the local weighted degree distributions follow an exponentially truncated power law, which may hint at the fact that the critical learning mechanism may have manifested at the node level too.…”
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Anomaly detection algorithm based on Gaussian mixture variational auto encoder network by Huahua CHEN, Zhe CHEN, Chunsheng GUO, Na YING, Xueyi YE, Jianwu ZHANG

“…Anomalous data, which deviates from a large number of normal data, has a negative impact and contains a risk on various systems.Anomaly detection can detect anomalies in the data and provide important support for the normal operation of various systems, which has important practical significance.An anomaly detection algorithm based on Gaussian mixture variational auto encoder network was proposed, in which a variational autoencoder was built to extract the features of the input data based on Gaussian mixture distribution, and using this variational autoencoder to construct a deep support vector network to compress the feature space and find the minimum hyper sphere to separate the normal data and the abnormal data.Anomalies can be detected by the score from the Euclidean distance from the feature of data to the center of the hypersphere.The proposed algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the corresponding average AUC are 0.954 and 0.937 respectively.The experimental results show that the proposed algorithm achieves preferable effects.…”
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FCM Clustering Approach Optimization Using Parallel High-Speed Intel FPGA Technology by Abedalmuhdi Almomany, Amin Jarrah, Anwar Al Assaf

“…Our experimental results (based on several datasets) show that the proposed method makes the FCM execution time more than 186 times faster than the conventional design running on a single-core CPU platform. …”
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Person re-identification algorithm by image from video surveilance sistem using a neural network compound descriptor by S. A. Ihnatsyeva, R. P. Bohush

“…The experiments performed indicate an increase in re-identification accuracy for the Market-1501, DukeMTMC-ReID, MSMT17 and PolReID1077 datasets.…”
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