arXiv research

Deep autoencoder predicts cancer types from DNA methylation patterns.

Paper identifies key CpG methylation sites for breast cancer.

Schwartz's solution to the Björling problem leads to an equivalence class of spatial strips S(t)=(c(t),n(t)) which produce equivalent minimal surfaces. For the particular case when the generating strip S(t) belongs to some plane E and c(t) is symmetric with respect to some straight line in E, the symmetries of the mini…

New method detects change-points in population genetics.

RCNs match and exceed MLPs and SCNs in reinforcement learning tasks.

FLBench automates federated learning benchmarking.

DNA Methylation has been the most extensively studied epigenetic mark. Usually a change in the genotype, DNA sequence, leads to a change in the phenotype, observable characteristics of the individual. But DNA methylation, which happens in the context of CpG (cytosine and guanine bases linked by phosphate backbone) dinu…

GIDS reduces high-dimensional response and predictor spaces, improving interpretability and computational efficiency.

In this study, the wind data series from five locations in Aegean Sea islands, the most active `hotspots' in terms of refugee influx during the Oct/2015 - Jan/2016 period, are investigated. The analysis of the three-per-site data series includes standard statistical analysis and parametric distributions, auto-correlati…

Quantum Reservoir Computing classifies complex probability distributions and identifies volatility regimes.

System exposes study population descriptions in clinical guidelines.

We report a statistical analysis of the Island ECN (NASDAQ) order book. We determine the static and dynamic properties of this system, and then analyze them from a physicist's viewpoint using an equivalent particle system obtained by treating orders as massive particles and price as position. We identify the fundamenta…

We briefly review data analysis of the Island order book, part of NASDAQ, which suggests a framework to which all limit order markets should comply. Using a simple exclusion particle model, we argue that short-time price over-diffusion in limit order markets is due to the non-equilibrium of order placement, cancellatio…

We provide an effective ramification theorem for the ratio of canonical forms of a weakly complete flat front in the hyperbolic three-space. Moreover we give the two applications of this theorem, the first one is to show an analogue of the Ahlfors islands theorem for it and the second one is to give a simple proof of t…

In this note we study the bilateral merchandise trade flows between 186 countries over the 1948-2005 period using data from the International Monetary Fund. We use Pajek to identify network structure and behavior across thresholds and over time. In particular, we focus on the evolution of trade "islands" in the a world…

Many researches demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer. There is a strong interest in analyzing the DNA methylation data to find how to distinguish different subtypes of the tumor. However, the conventional statistical methods …

The paper studies how Kleinian groups can be deformed while preserving their peripheral structures.

Study shows invariant curves in tubular origami dynamics, revealing geometric barriers to folding transitions.

Federated learning method improves covariate shift adaptation for missing target values.

Optimizes marketing strategies with practical constraints.

Machine learning predicts nuclear physics parameters with high accuracy.

We propose a simple modification to existing neural machine translation (NMT) models that enables using a single universal model to translate between multiple languages while allowing for language specific parameterization, and that can also be used for domain adaptation. Our approach requires no changes to the model a…

Pipeline for comparing trading algorithms in finance and crypto.

It is common wisdom that no nation is an isolated economic island. All nations participate in the global economy and are linked together through trade and finance. Here we analyze international trade network (ITN), being the network of import-export relationships between countries. We show that in each year over the an…

Novel U-learning method for predicting continuous outcomes from high-dimensional data.

Dynamic model improves static economics by incorporating time effects.

The calculation of minimum energy paths for transitions such as atomic and/or spin re-arrangements is an important task in many contexts and can often be used to determine the mechanism and rate of transitions. An important challenge is to reduce the computational effort in such calculations, especially when ab initio …

iDeepViewLearn combines deep learning and feature selection for multiview learning.

This study uses Twitter to analyze traveler behavior in Manhattan.

Federated Extra-Trees protects privacy while improving machine learning performance.

Multinational corporations use highly complex structures of parents and subsidiaries to organize their operations and ownership. Offshore Financial Centers (OFCs) facilitate these structures through low taxation and lenient regulation, but are increasingly under scrutiny, for instance for enabling tax avoidance. Theref…

FTL improves model training across data silos but requires optimization.

Regshock visualizes financial risks to help regulators manage systemic shocks.

Hybrid model improves forest growth predictions.

MLMs score better than autoregressive models without finetuning.

Federated Forest tackles privacy-preserving machine learning for scattered data.

A new LDA model with covariates for mixed-membership clusters.

Predicting survival in PUBG game with machine learning models.

Minimum energy paths for transitions such as atomic and/or spin rearrangements in thermalized systems are the transition paths of largest statistical weight. Such paths are frequently calculated using the nudged elastic band method, where an initial path is iteratively shifted to the nearest minimum energy path. The co…

Let $P$ be a Delzant polytope. We show that the quantization of the corresponding toric manifold $X_{P}$ in toric Kähler polarizations and in the toric real polarization are related by analytic continuation of Hamiltonian flows evaluated at time $t = \sqrt{-1} s$. We relate the quantization of $X_{P}$ in two different …

Quantum computing at room temperature achieves high accuracy in image classification.

BESS shows potential in European markets for frequency support, but not for energy arbitrage.

The refugee crisis is perhaps the single most challenging problem for Europe today. Hundreds of thousands of people have already traveled across dangerous sea passages from Turkish shores to Greek islands, resulting in thousands of dead and missing, despite the best rescue efforts from both sides. One of the main reaso…

Deep networks achieve linear separability through progressive folding of data in higher dimensions.