A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Peer-reviewed research and mined data predict stock returns similarly.
This review explores ChatGPT in accounting and finance.
Scoping review finds EEG key in MCI research, identifying ERP/EEG, QEEG, and machine learning.
Fuzzing has played an important role in improving software development and testing over the course of several decades. Recent research in fuzzing has focused on applications of machine learning (ML), offering useful tools to overcome challenges in the fuzzing process. This review surveys the current research in applyin…
This paper reviews digital transformation research from 2011-2024, focusing on corporate finance.
This paper reviews Douglas curvature in Finsler geometry.
We discuss here researches on econophysics done from India in the last two decades. The term `econophysics' was formally coined in India (Kolkata) in 1995. Since then many research papers, books, reviews, etc. have been written by scientists. Many institutions are now involved in this research field and many conference…
Comprehensive review of robust portfolio selection models.
We enhance autonomous materials research with problem-aware models.
An increase in the use of smartphones has laid to the use of the internet and social media platforms. The most commonly used social media platforms are Twitter, Facebook, WhatsApp and Instagram. People are sharing their personal experiences, reviews, feedbacks on the web. The information which is available on the web i…
We review the state of the art of clustering financial time series and the study of their correlations alongside other interaction networks. The aim of this review is to gather in one place the relevant material from different fields, e.g. machine learning, information geometry, econophysics, statistical physics, econo…
Systematic review of multimodal data challenges and solutions.
Survey analyzes economic research on cryptocurrencies using hybrid methods.
Automatic summarization of natural language is a current topic in computer science research and industry, studied for decades because of its usefulness across multiple domains. For example, summarization is necessary to create reviews such as this one. Research and applications have achieved some success in extractive …
Review of modern computational optimal transport methods for biomedical applications.
This review covers learning under concept drift, including detection, understanding, and adaptation.
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance. Here, we incorporate temporal representations in continuous time via recurrent point process for a dynamical model of reviews. Our goal is to characterize how change…
This study analyzes EU ETS literature trends using bibliometric methods.
Research on knots, braids, and their invariants.
Multi-agent reinforcement learning (MARL) has long been a significant and everlasting research topic in both machine learning and control. With the recent development of (single-agent) deep RL, there is a resurgence of interests in developing new MARL algorithms, especially those that are backed by theoretical analysis…
LR-Robot accelerates SLRs by combining expert oversight and AI, revealing trends and patterns in financial research.
This review explores XAI in finance, highlighting common techniques and areas needing improvement.
This paper reviews LLMs for credit risk assessment, creating a taxonomy.
Background: Overweight and obesity are an increasing phenomenon worldwide. Predicting future overweight or obesity early in the childhood reliably could enable a successful intervention by experts. While a lot of research has been done using explanatory modeling methods, capability of machine learning, and predictive m…
This review examines EWSs in finance to prevent economic crises.
Paper reviews algebraic research in machine learning theory.
This paper reviews bank performance determinants, highlighting future research areas.
Graph Neural Networks improve financial fraud detection.
The current flood of information in all areas of machine learning research, from computer vision to reinforcement learning, has made it difficult to make aggregate scientific inferences. It can be challenging to distill a myriad of similar papers into a set of useful principles, to determine which new methodologies to …
A short review of the econophysics research done in Estonia, devoted to the 15th anniversary of the term "econophysics".
This paper reviews off-policy evaluation methods in reinforcement learning.
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. In this review article, we have focused on presenting recent approaches on Multi-Agent Reinforcement Learning (MARL) algorithms. In particular, we have focused on five common approaches on modeling and solving cooperative …
MPNNs generalize poorly, study reviews current research.
This paper reviews recent advances in the field of optimization under uncertainty via a modern data lens, highlights key research challenges and promise of data-driven optimization that organically integrates machine learning and mathematical programming for decision-making under uncertainty, and identifies potential r…
Paper reviews neurolinguistics and language technologies, emphasizing mutual enrichment.
Digital Financial Services continue to expand and replace the delivery of traditional banking services to the customers through innovative technologies to meet the growing complex needs and globalization challenges. These diversified digital products help the organizations (service providers) to improve their firm perf…
Financial time series forecasting is, without a doubt, the top choice of computational intelligence for finance researchers from both academia and financial industry due to its broad implementation areas and substantial impact. Machine Learning (ML) researchers came up with various models and a vast number of studies h…
Living review of ML for particle physics, updated frequently.
The area of building energy management has received a significant amount of interest in recent years. This area is concerned with combining advancements in sensor technologies, communications and advanced control algorithms to optimize energy utilization. Reinforcement learning is one of the most prominent machine lear…
As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains. In some domains, like bioinformatics and robotics, it is very difficult to construct a large-scale well-annotated dataset due to the expense of data acquisition …
AI enhances microbiology and microbiome research through machine learning.
Reviews six finance topics, including 'radical complexity'.
This paper reviews forecast combinations over 50 years, highlighting their evolution and utility.
Deep learning models improve financial price forecasting accuracy.
This paper reviews incompatibilities of comonotonic risk measures.
The rise of non-linear and interactive media such as video games has increased the need for automatic movement animation generation. In this survey, we review and analyze different aspects of building automatic movement generation systems using machine learning techniques and motion capture data. We cover topics such a…
This document aims to provide a review on learning with deep generative models (DGMs), which is an highly-active area in machine learning and more generally, artificial intelligence. This review is not meant to be a tutorial, but when necessary, we provide self-contained derivations for completeness. This review has tw…
Systematic review of ML explainability in process mining.