Search Results
Addressing the Fundamental Tension of PCGML with Discriminative Learning
In response, we propose the use of discriminative models (which capture the validity of a design rather the distribution of the content) trained on positive and negative examples.
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting
Stock trend forecasting has become a popular research direction that attracts widespread attention in the financial field.
Building a Culture of Reproducibility in Academic Research
Reproducibility is an ideal that no researcher would dispute "in the abstract", but when aspirations meet the cold hard reality of the academic grind, reproducibility often "loses out".
Can we still avoid automatic face detection?
In this setting, is it still possible for privacy-conscientious users to avoid automatic face detection and recognition?
Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts
The objective of this article is to investigate how semantic orientations can be better detected in financial and economic news by accommodating the overall phrase-structure information and domain-specific use of language.
SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field
In addition, motivated by recommendation system, we propose Hybrid Sequence Enhanced BERT Networks (HSEBERTNets for short), which uses a multi-channel recall method to recall all the corresponding event entity.
Constrained Risk Budgeting Portfolios: Theory, Algorithms, Applications & Puzzles
This article develops the theory of risk budgeting portfolios, when we would like to impose weight constraints.
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
We present WeaverBird, an intelligent dialogue system designed specifically for the finance domain.
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
In this paper, we have applied sentiment analysis and supervised machine learning principles to the tweets extracted from twitter and analyze the correlation between stock market movements of a company and sentiments in tweets.
Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations
In this paper, we perform an in-depth analysis of pump and dump schemes organized by communities over the Internet.
