Application of feature selection algorithms in gene expression data analysis by Wang, Ruiping.

“…In this report, we consider the problem of applying feature selection techniques to select a small subset of informative biomarkers from DNA microarray data.…”
Get full text

A survery on CNN transfer learning for image classification by Teo, Jia Sheng

“…There are various ways a user can go about selecting a Convolutional Neural Net- work model for their work. …”
Get full text

Unmatched Control Barrier Functions: Certainty Equivalence Adaptive Safety by Lopez, Brett T., Slotine, Jean-Jacques E.

Get full text

Atomic scale modulation of self‐rectifying resistive switching by interfacial defects by Wu, Xing, Yu, Kaihao, Cha, Dongkyu, Bosman, Michel, Raghavan, Nagarajan, Zhang, Xixiang, Li, Kun, Liu, Qi, Sun, Litao, Pey, Kinleong

“…Higher memory density and faster computational performance of resistive switching cells require reliable array‐accessible architecture. However, selecting a designated cell within a crossbar array without interference from sneak path currents through neighboring cells is a general problem. …”
Get full text
Get full text

Decentralized Data Markets by Lu, Charles

“…I propose two federated techniques to automatically select a subset of data sellers and datapoints for a buyer given some sample data. …”
Get full text
Get full text

Melonic limits of the quartic Yukawa model and general features of melonic CFTs by Fraser-Taliente, L, Wheater, J

“…We reproduce these fixed points non-perturbatively using the Schwinger-Dyson equations, and in addition identify the supersymmetric fixed points in general dimension. Selecting a particular fermionic fixed point, we study its conformal spectrum non-perturbatively, comparing it to the sextic prismatic model. …”

Object retrieval with large vocabularies and fast spatial matching by Philbin, J, Chum, O, Isard, M, Sivic, J, Zisserman, A

“…The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of images that contain the same object, retrieved from a large corpus. …”

A sparse kernel algorithm for online time series data prediction by Fan, Haijin, Song, Qing

“…To make the kernel methods suitable for online learning, we propose a sparsification method based on the Hessian matrix of the system loss function to continuously examine the significance of the new training sample in order to select a sparse dictionary (support vector set). The Hessian matrix is equivalent to the correlation matrix of sample inputs in the kernel weight updating using the recursive least square (RLS) algorithm. …”
Get full text
Get full text
Get full text

Information cascades and the collapse of cooperation by Yang, Guoli, Csikász-Nagy, Attila, Waites, William, Xiao, Gaoxi, Cavaliere, Matteo

“…In various types of structured communities newcomers choose their interaction partners by selecting a role-model and copying their social networks. …”
Get full text

Search for supersymmetry using vector boson fusion signatures and missing transverse momentum in pp collisions at s = 13 TeV with the ATLAS detector by Aad, G, Aakvaag, E, Abbott, B, Abdelhameed, S, Abeling, K, Abicht, NJ, Abidi, SH, Aboelela, M, Aboulhorma, A, Abramowicz, H, Abreu, H, Abulaiti, Y, Acharya, BS, Ackermann, A, Adam Bourdarios, C, Adamczyk, L, Addepalli, SV, Addison, MJ, Adelman, J, Adiguzel, A, Adye, T, Affolder, AA, Afik, Y, Agaras, MN, Barr, AJ, Bortoletto, D, Bruckler, TL, Chen, M, Conroy, EI, Cooper-Sarkar, AM, Dingley, T, Draguet, MA, Eberwein, GH, Frost, JA, Gallas, EJ, Grabarczyk, RP, Gwenlan, C, Haslbeck, F, Hays, CP, Hodkinson, BH, Huffman, TB, Iizawa, T, Karava, K, Koch, SF, Moser, B, Nagai, K, Nedic, L, Nickerson, RB, Pacey, HA, Rossi, E, Ruggiero, A, Schopf, E, Shipsey, IPJ, Sultan, DMS, Viehhauser, GHA, Weidberg, AR, Yildirim, TP

“…Events containing at least two jets with a large gap in pseudorapidity, large missing transverse momentum, and no reconstructed leptons are selected. A boosted decision tree is used to separate events consistent with the production of supersymmetric particles from those due to Standard Model backgrounds. …”

Automating feature engineering in machine Learning by Zhu, Haoyu

“…Experiments using the unified function on different datasets showed the potentials to eradicate manual efforts in selecting a subset of useful features.…”
Get full text

BadSFL: backdoor attack in scaffold federated learning by Zhang, Xuanye

“…It maintains stealthiness by selecting a specific feature as a backdoor trigger and utilizes Scaffold's control variate to predict the global model's convergence direction, ensuring the persistence of the backdoor function the within global model. …”
Get full text

Handheld light painting application by Ng, Nicholas Bing Xian

“…The handheld light painting application integrates an Arduino microcontroller and Raspberry Pi microprocessor together, allowing users to select a pre-loaded image in the memory card for light painting. …”
Get full text

Structural modelling of the DNAJB6 oligomeric chaperone shows a peptide-binding cleft lined with conserved S/T-residues at the dimer interface by Söderberg, Christopher A. G., Månsson, Cecilia, Bernfur, Katja, Rutsdottir, Gudrun, Härmark, Johan, Rajan, Sreekanth, Al-Karadaghi, Salam, Rasmussen, Morten, Höjrup, Peter, Hebert, Hans, Emanuelsson, Cecilia

“…Lysine-specific crosslinking mass spectrometry provided distance constraints to select a homology model of the DNAJB6 monomer, which was subsequently used in crosslink-assisted docking to generate a dimer model. …”
Get full text
Get full text

Knowledge of autism spectrum disorder among parents in Hospital Universiti Sains Malaysia by Diah, Nazihah Mohmad

“…A sample size of 94 parents was selected. A knowledge score was categorized into low level, medium level and high level of knowledge. …”
Get full text

Nonlinear regression approach for GPS multipath mitigation : from code to carrier-phase measurements by Phan, Quoc Huy

“…ciently mitigate multipath effects at observable levels to improve the accuracy and precision of GPS solutions.Based on an analysis of the geometry of a multipath signal's reflections, and the principle of GPS receiver's tracking loop, geometrical models of multipath errors are developed at observable levels (both code and carrier-phase multipath). …”
Get full text

Dimensionality-dependent type-II Weyl semimetal state in Mo₀.₂₅W₀.₇₅Te₂ by Li, Peiling, Deng, Ya, Hsu, Chuang-Han, Zhu, Chao, Cui, Jian, Yang, Xue, Zhou, Jiadong, Hung, Yi-Chun, Fan, Jie, Ji, Zhongqing, Qu, Fanming, Shen, Jie, Yang, Changli, Jing, Xiunian, Lin, Hsin, Liu, Zheng, Lu, Li, Liu, Guangtong

“…Recently, Mo$_{0.25}$W$_{0.75}$Te$_{2}$ has been established as a type-II WSM with Weyl points located near Fermi level, which offers an opportunity to study its intriguing band structure by electrical transport measurements. Here, by selecting a special sample with the thickness gradient across two- (2D) and three-dimensional (3D) regime, we show strong evidences that Mo$_{0.25}$W$_{0.75}$Te$_{2}$ is a type-II Weyl semimetal by observing the following two dimensionality-dependent transport features: 1) A chiral-anomaly-induced anisotropic magneto-conductivity enhancement, proportional to the square of in-plane magnetic field (B$_{in}$$^{2}$); 2) An additional quantum oscillation with thickness-dependent phase shift. …”
Get full text

Solar UAV : design and fabrication of structural test rig for loading and testing a 7.5m half wing by Chua, Zac Zheng Xun.

“…Using FEA analysis, material testing, and testing of the physical parts, optimal design of the interior structure was selected. A test rig was designed and manufactured to provide a mounting structure for the test specimen for test loadings. …”
Get full text

Bluefish: Composing Diagrams with Declarative Relations by Pollock, Josh, Mei, Catherine, Huang, Grace, Evans, Elliot, Jackson, Daniel, Satyanarayan, Arvind

“…They can either use a highly expressive but low-level toolkit, whose API does not match their domain-specific concepts, or select a high-level typology, which offers a recognizable vocabulary but supports a limited range of diagrams. …”
Get full text

Feature selection for demand forecasting incorporating external covariates by Mantri, Raghav

“…Feature selection is used to select a subset of features from a dataset, when developing a predictive model, and use only these selected features for prediction. …”
Get full text