Jeremiah Osei-Kwakye

According to our database, Jeremiah Osei-Kwakye authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Discriminative cross-domain convolutional learning model for next basket recommender systems.

John Kingsley Arthur, Conghua Zhou, Xiang-Jun Shen, Jeremiah Osei-Kwakye, Eric Appiah Mantey

Knowl. Based Syst., 2026

2025

DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction.

John Kingsley Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Eric Appiah Mantey, Jeremiah Osei-Kwakye

Appl. Intell., October, 2025

2024

Temporal dual-target cross-domain recommendation framework for next basket recommendation.

John Kinglsey Arthur, Conghua Zhou, Xiang-Jun Shen, Ronky Wrancis Amber-Doh, Jeremiah Osei-Kwakye, Eric Appiah Mantey

Discov. Comput., December, 2024

2023

A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection.

Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing-Hua Ling, Timothy Apasiba Abeo

Appl. Intell., September, 2023

2022

A heterogeneous couplings and persuasive user/item information model for Next Basket recommendation.

John Kingsley Arthur, Conghua Zhou, Jeremiah Osei-Kwakye, Eric Appiah Mantey, Yaru Chen

Eng. Appl. Artif. Intell., 2022

A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network.

Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo

Connect. Sci., 2022

2021

An improved multi-leader comprehensive learning particle swarm optimisation based on gravitational search algorithm.

Alfred Adutwum Amponsah, Fei Han, Jeremiah Osei-Kwakye, Ernest Bonnah, Qing-Hua Ling

Connect. Sci., 2021