An Artificial Intelligence Model Considering Data Imbalance for Ship Selection in Port State Control Based on Detention Probabilities

A semi-“smart predict then optimize” (semi-SPO) method for efficient ship inspection

(2020) Ran Yan et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

A multi agent system for the online container stacking in seaport terminals

(2019) Ines Rekik et al.   Journal of Computational Science

Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation

(2019) Shuaian Wang et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

(2019) Xiaobo Qu et al.   APPLIED ENERGY

Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach

(2019) Mofan Zhou et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A risk-based game model for rational inspections in port state control

(2018) Zhisen Yang et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

Big data analysis of port state control ship detention database

(2018) Ming-Cheng Tsou   Journal of Marine Engineering and Technology

Robust optimisation of the intermodal freight transport problem: Modeling and solving with an efficient hybrid approach

(2018) Abderrahman Abbassi et al.   Journal of Computational Science

After 40 years of regional and coordinated ship safety inspections: Destination reached or new point of departure?

(2017) Armando Graziano et al.   OCEAN ENGINEERING

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Solubilities of CO2, CH4, C2H6, and SO2 in ionic liquids and Selexol from Monte Carlo simulations

(2016) Mahinder Ramdin et al.   Journal of Computational Science

A random forest guided tour

(2016) Gérard Biau et al.   TEST

Bayesian network modeling of Port State Control inspection findings and ship accident involvement

(2013) Maria Hänninen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Bayesian network with quantitative input for maritime risk analysis

(2012) Kevin X. Li et al.   Transportmetrica A-Transport Science

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Flag choice behaviour in the world merchant fleet

(2011) Meifeng Luo et al.   Transportmetrica A-Transport Science

Ship inspection strategies: Effects on maritime safety and environmental protection

(2010) Christiaan Heij et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

From Black-Grey-White Detention-based Lists of Flags to Black-Grey-White Casualty-based Lists of Categories of Vessels?

(2008) Thomas Degré   JOURNAL OF NAVIGATION

On the effectiveness of port state control inspections

(2007) Pierre Cariou et al.   TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW