Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care by Zhu, T, Pimentel, M, Clifford, G, Clifton, D

“…We propose two fully-Bayesian generative models for fusing labels from (i) independent and (ii) potentially-correlated algorithms. …”

Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures by Issa, Z, Horvath, B

“…The latter similarity metric has been developed and applied as a discriminator in recent generative models for small data environments, and has been optimised here to the setting where the size of new incoming data is particularly small, for faster reactivity.…”

Truncated SALL1 impedes primary cilia function in Townes-Brocks Syndrome by Bozal-Basterra, L, Martín-Ruíz, M, Pirone, L, Liang, Y, Otti Sigurdsson, J, Gonzalez-Santamarta, M, Giordano, I, Gabicagogeascoa, E, de Luca, A, Rodríguez, J, Wilkie, A, Kohlhase, J, Eastwood, D, Yale, C, Olsen, J, Rauchman, M, Anderson, K, Sutherland, J, Barrio, R

“…This most likely contributes to more frequent cilia formation in TBS-derived fibroblasts, as well as in a CRISPR/Cas9-generated model cell line and in TBS-modeled mouse embryonic fibroblasts, than in wild-type controls. …”

ABodyBuilder: automated antibody structure prediction with data-driven accuracy estimation by Leem, J, Dunbar, J, Georges, G, Shi, J, Deane, C

“…Its ability to model nanobodies, and rapidly generate models (∼30 seconds per model) widens its potential usage. …”

Automatically generating a sentiment lexicon for the Malay language by Mohammad Darwich, Shahrul Azman Mohd Noah, Nazlia Omar

“…This paper aims to propose an automated sentiment lexicon generation model specifically designed for the Malay language. …”
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Direct expenditure effects of the Rainforest World Music Festival 2009 in Santubong, Sarawak by Shuib, Ahmad, Edman, Salbiah, Yaakub, Fazlina

“…A simplified Money Generation Model (MGM) is used to derive the direct economic benefits of the RFWMF2009. …”
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A proposed formulation for multi-objective renewable economic load dispatch. by Mir, Jamaluddin, Kasim, Shahreen, Mahdin, Hairulnizam, Saedudin, Rd. Rohmat, Hassan, Rohayanti, Ramlan, Rohaizan

“…The results are also compared with the 140 unit Korean power generation model and in addition to several similar systems. …”

3D vectorization and rasterization of CityGML standard in wind simulation by Ridzuan, Nurfairunnajiha, Ujang, Uznir, Azri, Suhaibah

“…As referred to in the earlier research, the present level of detail 3.1 (LoD3.1) model is the least detail LoD suitable to visualize the wind simulation, this model is used as the original model to be compared with the newly generated model in 3D raster type. The vector data type is the model in the specified LoD of the CityGML standard. …”

Enhancement of natural language processing approach for automated generation of object constraint language by Salemi, Samin

“…MDA focuses on software development based on generating models and transforming these models between each other. …”
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Molecular modelling of oryza sativa starch-branching enzyme 1 by Mohammed, Sulaiman, Ndejiko, Mohammed Jibrin, Usman, Mohammed Maikudi, Kaya, Yilmaz, Huyop, Fahrul Zaman

“…From the five 3D models generated, model 3 displayed best prediction. The Ramachandran refinement has 97.3 amino acids residues in favoured region and 0.4 C-score. …”

Assessing the uncertainty associated with flood features due to variability of rainfall and hydrological parameters by Ahmad Sharafati, Ahmad Sharafati, Khazaei, Mohammad Reza, Nashwan, Mohamed Salem, Al-Ansari, Nadhir, Yaseen, Zaher Mundher, Shahid, Shamsuddin

“…The flood events are obtained by simulating runoff for rainfall events using the generated model parameters. The uncertainties due to rainfall and model parameters on generated flood hydrographs are evaluated using the relative coefficient of variation (RCV). …”
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Synthetic multivariate data generation procedure with various outlier scenarios using R programming language by Sharifah Sakinah, Syed Abd Mutalib, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff

“…A synthetic multivariate data generation procedure with various outlier scenarios using R is formulated in this study. An outlier generating model is used to generate multivariate data that contains outliers. …”
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Theory of Chiral Electrodeposition by Chiral Micro-Nano-Vortices under a Vertical Magnetic Field -1: 2D Nucleation by Micro-Vortices by Ryoichi Morimoto, Miki Miura, Atsushi Sugiyama, Makoto Miura, Yoshinobu Oshikiri, Iwao Mogi, Yusuke Yamauchi, Satoshi Takagi, Ryoichi Aogaki

“…Remarkable chiral activity is donated to a copper deposit surface by magneto-electrodeposition, whose exact mechanism has been clarified by the three-generation model. In copper deposition under a vertical magnetic field, a macroscopic tornado-like rotation called the vertical magnetohydrodynamic (MHD) flow (VMHDF) emerges on a disk electrode, inducing the precessional motions of various chiral microscopic MHD vortices: First, chiral two-dimensional (2D) nuclei develop on an electrode by micro-MHD vortices. …”
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Interpolating the Text-to-Image Correspondence Based on Phonetic and Phonological Similarities for Nonword-to-Image Generation by Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide

“…The framework comprises a phonetics-aware language model as well as an adjusted T2I generation model. Our evaluations confirm that the proposed nonword-to-image generation synthesizes images that depict visual concepts of phonetically similar words more stably than comparative methods. …”
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Sample Entropy Based Net Load Tracing Dispatch of New Energy Power System by Shubo Hu, Feixiang Peng, Zhengnan Gao, Changqiang Ding, Hui Sun, Wei Zhou

“…According to the SampEn, a specific generating model of thermal generators is determined and the cooperation between thermal generators and pumped storage is realized, aiming at reducing the ramp power of thermal generators and increasing the throughput of pumped storage. …”
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3CLpro inhibitors: DEL-based molecular generation by Feng Xiong, Honggui Xu, Mingao Yu, Xingyu Chen, Zhenmin Zhong, Yuhan Guo, Meihong Chen, Huanfang Ou, Jiaqi Wu, Anhua Xie, Jiaqi Xiong, Linlin Xu, Lanmei Zhang, Qijian Zhong, Liye Huang, Zhenwei Li, Tianyuan Zhang, Feng Jin, Xun He

“…Subsequently, to analyze the effect of transfer learning on the positive rate of the molecule generation model, molecular docking and affinity model based on DEL data were applied to explore the enhanced impact of transfer learning on molecule generation. …”
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A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis by Cristian Torres-Valencia, Álvaro Orozco, David Cárdenas-Peña, Andrés Álvarez-Meza, Mauricio Álvarez

“…Results show that this framework allows us to model the EEG signals adequately using generative models and allows analyzing the relationships between channels of the EEG for a particular condition. …”
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Applications of the Novel Quantitative Pharmacophore Activity Relationship Method QPhAR in Virtual Screening and Lead-Optimisation by Stefan Michael Kohlbacher, Matthias Schmid, Thomas Seidel, Thierry Langer

“…Finally, we show how the QPhAR-generated models can be used to guide the researcher with insights regarding (un-)favourable interactions for compounds of interest.…”
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Model-Based Approaches to Active Perception and Control by Giovanni Pezzulo, Francesco Donnarumma, Pierpaolo Iodice, Domenico Maisto, Ivilin Stoianov

“…Our analysis illustrates that: an explicitly inferential framework can capture some key aspects of embodied and enactive theories of cognition; some claims of computational and dynamical theories can be reconciled rather than seen as alternative explanations of cognitive phenomena; and some aspects of cognitive processing (e.g., detached cognitive operations, such as planning and imagination) that are sometimes puzzling to explain from enactive and non-representational perspectives can, instead, be captured nicely from the perspective that internal generative models and predictive processing mediate adaptive control loops.…”
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Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey by Huu-Thanh Duong, Viet-Tuan Le, Vinh Truong Hoang

“…In particular, the strong growth of generative models means that these are the main techniques used in the proposed methods. …”
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