4 papers
Oxytrees: Model Trees for Bipartite Learning
Pedro IlÃdio, Felipe Kenji Nakano, Alireza Gharahighehi +3
Bipartite learning is a machine learning task that aims to predict interactions between pairs of instances. It has been applied to various domains, including drug-target interactio…
Pairwise and Attribute-Aware Decision Tree-Based Preference Elicitation for Cold-Start Recommendation
Alireza Gharahighehi, Felipe Kenji Nakano, Xuehua Yang +2
Recommender systems (RSs) are intelligent filtering methods that suggest items to users based on their inferred preferences, derived from their interaction history on the platform.…
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis
Alireza Gharahighehi, Achilleas Ghinis, Michela Venturini +2
Massive Open Online Courses (MOOCs) are emerging as a popular alternative to traditional education, offering learners the flexibility to access a wide range of courses from various…
Label Cluster Chains for Multi-Label Classification
Elaine CecÃlia Gatto, Felipe Nakano Kenji, Jesse Read +3
Multi-label classification is a type of supervised machine learning that can simultaneously assign multiple labels to an instance. To solve this task, some methods divide the origi…