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Found 12 papers, 3 papers with code
Monitoring the risk of a tailings dam collapse through spectral analysis of satellite InSAR time-series data
The results of this study demonstrate that the combination of spectral methods and second order statistical properties of InSAR displacement time series data can reveal signs of a transition into an unstable deformation regime, and that this algorithm can provide sufficient early warning that could help mitigate catastrophic slope failures.
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Human trajectory forecasting is a key component of autonomous vehicles, social-aware robots and advanced video-surveillance applications.
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning
A comparative study is performed to establish the necessity of the selection of a DoE scheme.
Challenges and approaches to privacy preserving post-click conversion prediction
In this paper we outline the recent privacy-related changes in the online advertising ecosystem from a machine learning perspective.
Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions
Social media has seen a worrying rise in hate speech in recent times.
PAC Mode Estimation using PPR Martingale Confidence Sequences
This problem reduces to the estimation of a single parameter when $\mathcal{P}$ has a support set of size $K = 2$.
Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification-Based LSTM Model
As the Covid-19 outbreaks rapidly all over the world day by day and also affects the lives of million, a number of countries declared complete lock-down to check its intensity.
Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature
Sarcasm is a sophisticated way of wrapping any immanent truth, mes-sage, or even mockery within a hilarious manner.
Relative Log-Symplectic structure on a semi-stable degeneration of moduli of Higgs bundles
In a recent paper \cite{3}, a semi-stable degeneration of moduli space of Higgs bundles on a curve has been constructed.
Algebraic Geometry
Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation
With the ever-increasing number of digital music and vast music track features through popular online music streaming software and apps, feature recognition using the neural network is being used for experimentation to produce a wide range of results across a variety of experiments recently.
Quo Vadis, Skeleton Action Recognition ?
To study skeleton-action recognition in the wild, we introduce Skeletics-152, a curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset.
Ranked #1 on
Skeleton Based Action Recognition
on Skeletics-152
YODA: Enabling computationally intensive contracts on blockchains with Byzantine and Selfish nodes
We present the system design and details of YODA and prove the security properties of MIRACLE and RICE.
Cryptography and Security
