• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 14 matches

• 2024
• 
  Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle:
  Machine Learning for Multimodal Healthcare Data - First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings. Lecture Notes in Computer Science 14315, Springer 2024, ISBN 978-3-031-47678-5 [contents]
• 2023
• 
  Frances M. Aponte-Caraballo, Frances Heredia-Negrón, Brenda G. Nieves-Rodriguez, Abiel Roche-Lima:
  Death Prediction by Race in Colorectal Cancer Patients Using Machine Learning Approaches. ML4MHD 2023: 1-6
• 
  Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte:
  Multimodal LLMs for Health Grounded in Individual-Specific Data. ML4MHD 2023: 86-102
• 
  Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood:
  MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD 2023: 141-154
• 
  Daisy Yi Ding, Xiaotao Shen, Michael Snyder, Robert Tibshirani:
  Semi-supervised Cooperative Learning for Multiomics Data Fusion. ML4MHD 2023: 54-63
• 
  Sunmin Eom, Sunwoo Eom, Peter Washington:
  SIM-CNN: Self-supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals. ML4MHD 2023: 155-171
• 
  Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev:
  InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD 2023: 172-188
• 
  Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
  GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD 2023: 125-140
• 
  Farnaz Khun Jush, Peter M. Dueppenbecker, Andreas K. Maier:
  Speed-of-Sound Mapping for Pulse-Echo Ultrasound Raw Data Using Linked-Autoencoders. ML4MHD 2023: 103-114
• 
  Jeongwon Lee, Dae-Shik Kim:
  RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific Fusion. ML4MHD 2023: 43-53
• 
  Yongsheng Mei, Guru Venkataramani, Tian Lan:
  Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD 2023: 64-85
• 
  Karthik Shetty, Annette Birkhold, Bernhard Egger, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas K. Maier:
  HOOREX: Higher Order Optimizers for 3D Recovery from X-Ray Images. ML4MHD 2023: 115-124
• 
  Harsh Shrivastava, Urszula Chajewska:
  Neural Graph Revealers. ML4MHD 2023: 7-25
• 
  Tobias Weise, Paula Andrea Pérez-Toro, Andrea Deitermann, Bettina Hoffmann, Kubilay Can Demir, Theresa Straetz, Elmar Nöth, Andreas K. Maier, Thomas Kallert, Seung Hee Yang:
  Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. ML4MHD 2023: 26-42