This paper evaluates multiple machine learning algorithms for forecasting the 30 second forward spread of ETH/USD. The experiments include using boosted decision trees (LightGBM, XGBoost), higher forms of linear regression and Ensembling. The Ethereum orderbook was constructed through the...

The project proposes a type of Artificial Neural Network (ANN) known as Long Short Term Memory (LSTM) to predict the prices for a portfolio of best stocks from five different sectors since election. The current price, technical and fundamental indicators will be learned to predict the next...

Phishing attack is a simplest way to obtain sensitive information from innocent users. Aim of the phishers is to acquire critical information like username, password and bank account details. Cyber security persons are now looking for trustworthy and steady detection techniques for phishing...

Machine learning systems, a form of artificial intelligence (AI), are increasingly being deployed both for the creation of innovative works and the administration of intellectual property (IP) rights associated with those works. At the same time, evidence of racial bias in IP systems is manifest...

Heuristic techniques are optimization methods that inspired by nature. Although there are many heuristics in the literature, a new heuristic technique is presented by researchers every day by observing nature-based or living behaviors in nature. In this study, a new heuristic optimization...

Algorithm-based decision tools in environmental law appear policy neutral but embody bias and hidden values that affect equity and democracy. In effect, algorithm-based tools are new fora for law and policymaking, distinct from legislatures and courts. In turn, these tools influence the...

In the context of the data quality management of supervisory banking data, the Bank of Italy receives a significant number of data reports at various intervals from Italian banks. If any anomalies are found, a quality remark is sent back, questioning the data submitted. This process can lead to...

Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks...