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Publication search results
found 41 matches
- 2024
- Waheed Ahmed Abro
, Hanane Kteich, Zied Bouraoui:
Self-supervised Segment Contrastive Learning for Medical Document Representation. AIME (1) 2024: 312-321 - Corinne G. Allaart, Marc X. Makkes, Lea Dijksman, Paul van der Nat, Douwe Biesma, Henri E. Bal, Aart van Halteren:
Secure and Private Vertical Federated Learning for Predicting Personalized CVA Outcomes. AIME (1) 2024: 172-181 - Abrar S. Alrumayh, Chiu C. Tan:
Improving Reminder Apps for Home Voice Assistants. AIME (1) 2024: 409-413 - Marina Andric, Mauro Dragoni, Francesco Ricci:
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) 2024: 397-408 - Chia-Hsuan Chang, Mary M. Lucas, Yeawon Lee, Christopher C. Yang, Grace Lu-Yao:
Beyond Self-consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging. AIME (1) 2024: 224-228 - Xiangru Chen, Milos Hauskrecht:
Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms. AIME (1) 2024: 46-51 - Po-Kuang Chen, Shih-Hsien Sung, Ling Chen:
Applying Gaussian Mixture Model for Clustering Analysis of Emergency Room Patients Based on Intubation Status. AIME (1) 2024: 3-10 - Joung Min Choi, Liqing Zhang:
Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles. AIME (1) 2024: 357-366 - Chiara Dachena, Roberto Gatta, Mariachiara Savino, Stefania Orini, Nicola Acampora, M. Letizia Serra, Stefano Patarnello, Christian Barillaro, Carlotta Masciocchi:
Prediction Modelling and Data Quality Assessment for Nursing Scale in a Big Hospital: A Proposal to Save Resources and Improve Data Quality. AIME (1) 2024: 128-137 - Bikram De, Mykhailo Sakevych, Vangelis Metsis:
The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data. AIME (1) 2024: 192-203 - Minakshi Debnath, Md Shahriar Kabir, Jianyuan Ni, Anne Hee Hiong Ngu:
The Impact of Synthetic Data on Fall Detection Application. AIME (1) 2024: 204-209 - Paul Dubois, Paul-Henry Cournède, Nikos Paragios, Pascal Fenoglietto:
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning. AIME (1) 2024: 151-160 - Ladislav Floris, Daniel Vasata:
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model. AIME (1) 2024: 117-127 - Josip Grguric, Annette ten Teije, Frank van Harmelen:
Evaluating the TMR Model for Multimorbidity Decision Support Using a Community-of-Practice Based Methodology. AIME (1) 2024: 52-63 - Deepak Gupta, Dina Demner-Fushman:
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking. AIME (1) 2024: 251-260 - Saba Ghanbari Haez, Marina Segala, Patrizio Bellan, Simone Magnolini, Leonardo Sanna, Monica Consolandi, Mauro Dragoni:
A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability. AIME (1) 2024: 213-223 - Xubing Hao, Rashmie Abeysinghe, Jay Shi, Licong Cui:
Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS. AIME (1) 2024: 273-278 - Ortal Hirszowicz, Dvir Aran:
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis. AIME (1) 2024: 279-292 - Tahsin Kazi, John Oakley, Anh Duong, El Arbi Belfasi, Katherine H. Ingram, Maria Valero:
Advancements in Non-invasive AI-Powered Glucose Monitoring: Leveraging Multispectral Imaging Across Diverse Wavelengths. AIME (1) 2024: 387-396 - Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker:
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. AIME (1) 2024: 345-354 - Tobias Kropp, Shiva Faeghi, Kunibert Lennerts:
Process Mining for Capacity Planning and Reconfiguration of a Logistics System to Enhance the Intra-Hospital Patient Transport. Case Study. AIME (1) 2024: 138-150 - Amila Kugic, Akhila Abdulnazar, Anto Knezovic, Stefan Schulz, Markus Kreuzthaler:
Smoking Status Classification: A Comparative Analysis of Machine Learning Techniques with Clinical Real World Data. AIME (1) 2024: 182-191 - Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S. Xu:
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. AIME (1) 2024: 90-100 - Shiwei Lin, Shiqiang Tao, Yan Huang, Xiaojin Li, Guo-Qiang Zhang:
Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches. AIME (1) 2024: 76-80 - Brian W. Locke, W. Wayne Richards, Jeanette P. Brown, Wanting Cui, Joseph Finkelstein, Krishna M. Sundar, Ramkiran Gouripeddi:
Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data. AIME (1) 2024: 36-45 - Beatriz López, David Galera, Abel López-Bermejo, Judit Bassols:
Frequent Patterns of Childhood Overweight from Longitudinal Data on Parental and Early-Life of Infants Health. AIME (1) 2024: 64-69 - Zhilin Lu, Jingming Liu, Ruihong Luo, Chunping Li:
Reinforcement Learning with Balanced Clinical Reward for Sepsis Treatment. AIME (1) 2024: 161-171 - Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan:
Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) 2024: 293-302 - András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal:
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. AIME (1) 2024: 17-35 - Mohsen Nabian, Zahra Eftekhari, Chi Wah Wong:
CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding. AIME (1) 2024: 367-372
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