output
20102026
most citedScikit-learn: Machine Learning in Python

63.6k citations

40 papers

cs.IR2026

Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study

Di Bai, Jintao Liu, Zhenwei Tang +3

Heterogeneous recommendation feeds present complex challenges that extend beyond those found in highly homogeneous environments (e.g., music-only or video-only closed-ecosystem pla…

cs.HC2025★ 13 cited

Sensible Agent: A Framework for Unobtrusive Interaction with Proactive AR Agents

Geonsun Lee, Min Xia, Nels Numan +9

Proactive AR agents promise context-aware assistance, but their interactions often rely on explicit voice prompts or responses, which can be disruptive or socially awkward. We intr…

stat.ML2025★ 4 cited

Simulation-Based Inference: A Practical Guide

Michael Deistler, Jan Boelts, Peter Steinbach +11

A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers…

cs.LG2024★ 6 cited

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives

Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng +7

Artificial Intelligence (AI) for health has the potential to significantly change and improve healthcare. However in most African countries, identifying culturally and contextually…

cs.SE2024★ 26 cited

AI-Assisted Assessment of Coding Practices in Modern Code Review

Manushree Vijayvergiya, Małgorzata Salawa, Ivan Budiselić +10

Modern code review is a process in which an incremental code contribution made by a code author is reviewed by one or more peers before it is committed to the version control syste…

cs.AI2024★ 21 cited

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

Mercy Asiedu, Awa Dieng, Iskandar Haykel +7

With growing application of machine learning (ML) technologies in healthcare, there have been calls for developing techniques to understand and mitigate biases these systems may ex…