output
20152021
most citedGenerative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction

67 citations

7 papers

q-fin.ST2021★ 67 cited

Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction

Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad +4

The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy information which makes it an…

math.GT2021★ 2 cited

Property (QT) for 3-manifold groups

Suzhen Han, Hoang Thanh Nguyen, Wenyuan Yang

According to Bestvina-Bromberg-Fujiwara, a finitely generated group is said to have property (QT) if it acts isometrically on a finite product of quasi-trees so that orbital maps a…

cs.CV2019★ 9 cited

Skeleton-based Gait Index Estimation with LSTMs

Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier

In this paper, we propose a method that estimates a gait index for a sequence of skeletons. Our system is a stack of an encoder and a decoder that are formed by Long Short-Term Mem…

cs.CV2019★ 15 cited

Estimating skeleton-based gait abnormality index by sparse deep auto-encoder

Trong Nguyen Nguyen, Huu Hung Huynh, Jean Meunier

This paper proposes an approach estimating a gait abnormality index based on skeletal information provided by a depth camera. Differently from related works where the extraction of…

cs.CV2019★ 7 cited

Human Gait Symmetry Assessment using a Depth Camera and Mirrors

Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier

This paper proposes a reliable approach for human gait symmetry assessment using a depth camera and two mirrors. The input of our system is a sequence of 3D point clouds which are…

math.FA2017★ 7 cited

Some inequalities for operator (p,h)-convex functions

Trung Hoa Dinh, Khue TB Vo

Let be a positive number and a function on satisfying for any . A non-negative continuous function on $K (\s…

math.PR2015★ 2 cited

Some results on regularity and monotonicity of the speed for excited random walk in low dimensions

Cong Dan Pham

Using renewal times and Girsanov's transform, we prove that the speed of the excited random walk is infinitely differentiable with respect to the bias parameter in for the…