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MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer
6 references·0 citing·26 second hop
MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer (2022)MARRS: A Framework for multi-objective ri…A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System (2020)A Data-Driven Reinforcement L…DeepMove (2018)DeepMovePredicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Twende-twende: a mobile application for traffic congestion awareness and routing (2014)Twende-twende: a mobile appli…Tourism as an Economic Growth Factor: A Case Study for Southern European Countries (2008)Tourism as an Economic Growth…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting (2012)Machine Learning for Quantitative Finance Applications: A Survey (2019)Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)A Contribution to the Theory of Economic Growth (1956)A Contribution to the Empirics of Economic Growth (1992)Growth Empirics: A Panel Data Approach (1995)The response of hotel performance to international tourism development and crisis events (2010)Tourism development and economic growth in the Mediterranean countries: evidence from panel Granger causality tests (2013)Revisiting the Tourism-Led Economic Growth Hypothesis: The Case of China (2017)Friendship and mobility (2011)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Predicting Human Mobility via Variational Attention (2019)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)R3 (2014)The shortest path to happiness (2014)Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method (2017)cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement Learning (2022)User preference-based intelligent road route recommendation using SARSA and dynamic programming (2022)Leveraging Deep Reinforcement Learning and Healthcare Devices for Active Travelling in Smart Cities (2024)
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References

  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 2008Tourism as an Economic Growth Factor: A Case Study for Southern European Countries224 cited
  • 2020A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System18 cited
  • 2014Twende-twende: a mobile application for traffic congestion awareness and routing11 cited

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