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ORCIDSara Nasiri
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- affiliation (PhD 2018): University of Siegen, Germany
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2020 – today
- 2022
[j7]Mohammad Reza Khosravani
, Sara Nasiri, Tamara Reinicke:
Intelligent knowledge-based system to improve injection molding process. J. Ind. Inf. Integr. 25: 100275 (2022)- 2020
- [j6]Sara Nasiri, Julien Helsper, Matthias Jung, Madjid Fathi:
DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images. BMC Bioinform. 21-S(2): 84 (2020) - [j5]Mohammad Reza Khosravani, Sara Nasiri:
Injection molding manufacturing process: review of case-based reasoning applications. J. Intell. Manuf. 31(4): 847-864 (2020)
2010 – 2019
- 2019
- [j4]Mohammad Reza Khosravani, Sara Nasiri, Denis Anders, Kerstin Weinberg:
Prediction of dynamic properties of ultra-high performance concrete by an artificial intelligence approach. Adv. Eng. Softw. 127: 51-58 (2019) - [j3]Mohammad Reza Khosravani, Sara Nasiri, Kerstin Weinberg:
Application of case-based reasoning in a fault detection system on production of drippers. Appl. Soft Comput. 75: 227-232 (2019) - [j2]Sara Nasiri, Golnaz Zahedi, Simone Kuntz, Madjid Fathi:
Knowledge representation and management based on an ontological CBR system for dementia caregiving. Neurocomputing 350: 181-194 (2019) - 2018
- [b1]Sara Nasiri:
Dynamic knowledge assets management to interactive problem solving and sustained learning: a collaborative CBR system in chronic and palliative care. University of Siegen, Germany, 2018 - [c10]Sara Nasiri, Matthias Jung, Julien Helsper, Madjid Fathi:
Detect and Predict Melanoma Utilizing TCBR and Classification of Skin Lesions in a Learning Assistant System. IWBBIO (1) 2018: 531-542 - [i1]Sara Nasiri, Matthias Jung, Julien Helsper, Madjid Fathi:
Deep-CLASS at ISIC Machine Learning Challenge 2018. CoRR abs/1807.08993 (2018) - 2017
- [j1]Sara Nasiri, Johannes Zenkert, Madjid Fathi:
Improving CBR adaptation for recommendation of associated references in a knowledge-based learning assistant system. Neurocomputing 250: 5-17 (2017) - [c9]Sara Nasiri, Madjid Fathi:
Case Representation and Similarity Assessment in a Recommender System to Support Dementia Caregivers in Geriatric and Palliative Care. ICCBR (Workshops) 2017: 157-166 - [c8]Sara Nasiri:
A Collaborative CBR Recommender System to Support Patients, its Relatives and Caregivers in Chronic and Palliative Care. ICCBR (Workshops) 2017: 194-198 - [c7]Sara Nasiri, Ildar Allayarov, Madjid Fathi:
Developing a Prototype of Case-based System Utilizing Fuzzy Sets to Detect Faults of Injection Molding Process. WM 2017: 92-96 - 2015
- [c6]Sara Nasiri, Johannes Zenkert, Madjid Fathi:
A Medical Case-Based Reasoning Approach Using Image Classification and Text Information for Recommendation. IWANN (2) 2015: 43-55 - 2014
- [c5]Fabian Merges, Sara Nasiri, Madjid Fathi:
Package Insert Leaflet Analysis and Improvement to Reduce Patient Risk Factors: A Pharmacovigilance Approach in Computer Science. CBMS 2014: 483-484 - 2013
- [c4]Sara Nasiri, Fazel Ansari, Madjid Fathi:
Dynamics of knowledge assets and change management perspectives. EIT 2013: 1-6 - [c3]Sara Nasiri, Mareike Dornhöfer, Madjid Fathi:
Improving EHR and Patient Empowerment based on Dynamic Knowledge Assets. GI-Jahrestagung 2013: 402-413 - 2011
- [c2]Sara Nasiri, Mohammad Mehdi Sepehri, Marjan Khobreh:
Utilizing Acquired Healthcare Knowledge, Based on Using Electronic Health Records. USAB 2011: 429-439
2000 – 2009
- 2009
- [c1]Fazel Ansari, Marjan Khobreh, Sara Nasiri, Madjid Fathi:
Knowledge Management support for Quality Management to achieve higher customer satisfaction. EIT 2009: 78-83
Coauthor Index
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