The benchmark functions. by Shuhui Yu (1535500)

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... by Frixos Papadopoulos (22001664)

Accelerated MPC Algorithms and Augmented System Design for Legged Robots by John Ndegwa Nganga (21088838)

“…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …”

Functional Projection <i>K</i>-means by Roberto Rocci (16022201)

“…In contrast to existing literature, which largely considers the smoothing as a pre-processing step, in our proposal regularization is integrated with the identification of both subspace and cluster partition. …”

Data associated with "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" by Gaia Bianchini (7570553)

“…<p dir="ltr">Dataset from Bianchini et al., "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" available at https://www.biorxiv.org/content/10.1101/2025.02.11.637674v3.…”

Data XGBOOST. by Xin Zhang (35492)

“…<div><p>Introduction</p><p>Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. …”

Data Sheet 1_Non-negative connectivity causes bow-tie architecture in neural circuits.pdf by Zhaofan Liu (327486)

pone.0331193.t003 - by Carol Kotliar (22351525)

“…The MTT24.5 program aims to stimulate brain function through a combination of new knowledge acquisition (DATA) and learning techniques (TECHS), organized into a systematic algorithm. …”

Baseline characteristics by group. by Carol Kotliar (22351525)

“…The MTT24.5 program aims to stimulate brain function through a combination of new knowledge acquisition (DATA) and learning techniques (TECHS), organized into a systematic algorithm. …”

Data Sheet 1_CU Cilia – an application for image analysis by machine learning – reveals significance of cysteine cathepsin K activity for primary cilia of human thyroid epithelial... by Maren Rehders (2879318)

fNIRS signals recording procedure. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graphs of the runs in Strategy 3. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graph. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Labeling strategy. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Decomposition of the fNIRS signal using ICEEMDAN. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 1 and Strategy 3 trial distribution. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 2 trial distribution. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Detectors, sources, and channels. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Block diagram of the proposed method. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”