Not finding it? Sign in to also search OpenAlex live.
-
FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Yuchen Li, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, +2 more
3citations -
Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA2025 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Georgios Andreadis, Eduard Ruiz Munné, Thomas Bäck, Peter A. N. Bosman, Tanja Alderliesten
1citations -
Demo: Testing AI-Driven Mac Learning in Autonomic Networks2024 Proceedings/Proceedings - International Conference on Network Protocols conference-paper Computer Science Wireless Networks and Protocols
Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more
1citations -
Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Information Retrieval and Search Behavior Open access
Jia-Huei Ju, Eugene Yang, Trevor V. Adriaanse, Suzan Verberne, Andrew Yates
0citations -
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review2021 European Journal of Cancer review Computer Science AI in cancer detection Open access cited by 1 patent
Lucas Schneider, Sara Laiouar-Pedari, Sara Kuntz, Eva Krieghoff‐Henning, Achim Hekler, Jakob Nikolas Kather, +3 more
102citations -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge2023 IEEE Journal of Biomedical and Health Informatics article Computer Science Medical Image Segmentation Techniques Open access
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, +34 more
90citations -
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning2023 ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) conference-paper Computer Science Evolutionary Algorithms and Applications Open access
Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman
0citations