Predicting medications is a crucial task in many intelligent healthcare systems. It can assist doctors in making informed medication decisions for patients according to electronic medical records (EMRs). However, medication prediction is a challengin...
Jun 23, 2020 · We asked our 2020 intake of Technology Pioneers for their views on how technology will change the world in the next five years. Here are their predictions.
CS281 Final Project to develop a new ML Model for predicting incidents of crime. (⭐ 85)
Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native platforms, which enables proactive re...
Dec 18, 2025 · Recently, a Wall Street Journal article highlighted that many economists’ predictions about these tariffs fell flat, but glossed over the fact that predictions changed throughout the year …
In this paper, we propose SEA, a novel approach for active robot exploration through semantic map prediction and a reinforcement learning-based hierarchical exploration policy. Unlike existing learning-based methods that rely on one-step waypoint pre...
Firstly, by establishing a prediction model for global sea-level rise and calculating with Maple, it is shown that the global sea-level rise rate in 2009 is 2.68 mm/a. The height and rate of global sea-level rise will be about 9.11 cm and 3.22 mm/a i...
No description (⭐ 41)
Code revert prediction, a specialized form of software defect detection, aims to forecast or predict the likelihood of code changes being reverted or rolled back in software development. This task is very important in practice because by identifying...
Multivariate count time series models are an important tool for the analysis and prediction of infectious disease spread. We consider the endemic-epidemic framework, an autoregressive model class for infectious disease surveillance counts, and replac...
Precise fare prediction is crucial in ride-hailing platforms and urban mobility systems. This study examines three machine learning models-Graph Attention Networks (GAT), XGBoost, and TimesNet to evaluate their predictive capabilities for taxi fares...
Ok................. It's time for my Annual Pre-Burning Man Rant and Predictions. 26 Years of attending the Burning Man Festival. I have witnessed this event grow from the Trashy Late-90's-Distop...
Dec 18, 2025 · Recently, a Wall Street Journal article highlighted that many economists’ predictions about these tariffs fell flat, but glossed over the fact that predictions changed throughout the year …
A cheeky little exercise in using Markov chains to prove a point. (⭐ 4)
In recent years, defect prediction has received a great deal of attention in the empirical software engineering world. Predicting software defects before the maintenance phase is very important not only to decrease the maintenance costs but also incr...
Jun 23, 2020 · We asked our 2020 intake of Technology Pioneers for their views on how technology will change the world in the next five years. Here are their predictions.
In this paper we describe our machine learning solution for the RecSys Challenge, 2015. We have proposed a time efficient two-stage cascaded classifier for the prediction of buy sessions and purchased items within such sessions. Based on the model, s...
Eliciting user preferences from purchase records for performing purchase prediction is challenging because negative feedback is not explicitly observed, and because treating all non-purchased items equally as negative feedback is unrealistic. Therefo...
“默克”杯逆合成反应预测大赛 一些前期工作 (⭐ 0)
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a critical problem globally, resulting in negative consequences such as lost hours of additional travel time and increased fuel consumption. Integrating emergi...