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2020 – today
- 2021
[c20]Dongyu Zhang
, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Human-like Explanation for Text Classification With Limited Attention Supervision. IEEE BigData 2021: 957-967- [i2]Cansu Sen, Bingyang Ye, Javed Aslam, Amir Tahmasebi:
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention. CoRR abs/2102.09136 (2021) - 2020
- [c19]Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner:
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020: 4596-4608 - [c18]Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Similarity-Preserving Meta-Embedding for Text Mining. IEEE BigData 2020: 808-817 - [c17]Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal T. Claypool, Elke A. Rundensteiner:
Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection. HEALTHINF 2020: 656-663 - [c16]Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Learning to Selectively Update State Neurons in Recurrent Networks. CIKM 2020: 485-494 - [c15]Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Recurrent Halting Chain for Early Multi-label Classification. KDD 2020: 1382-1392 - [c14]Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke A. Rundensteiner:
Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020: 566-588
2010 – 2019
- 2019
- [c13]Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining. BHI 2019: 1-4 - [c12]Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. IEEE BigData 2019: 930-939 - [c11]Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Temporal Relevance in Longitudinal Medical Notes. IEEE BigData 2019: 2474-2483 - [c10]Soner Yesil, Cansu Sen, Ali Özgür Yilmaz:
Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion. ICECS 2019: 614-617 - [c9]Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Adaptive-Halting Policy Network for Early Classification. KDD 2019: 101-110 - 2018
- [c8]Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke A. Rundensteiner:
Early Prediction of MRSA Infections using Electronic Health Records. HEALTHINF 2018: 156-167 - [c7]Thomas Hartvigsen, Cansu Sen, Elke A. Rundensteiner:
Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data. BIOSTEC (Selected Papers) 2018: 399-419 - [c6]Cansu Sen, Emre Aktas:
Low complexity receivers for continuous phase modulation. SIU 2018: 1-4 - 2017
- [c5]Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool:
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining. ECML/PKDD (3) 2017: 52-63 - [c4]Cansu Sen, Soner Yesil:
FPGA implementation of a wideband Gaussian random number generator with low resource utilization. SIU 2017: 1-4 - 2016
- [c3]Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu:
FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems. SIU 2016: 689-692 - [i1]Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu:
FPGA Impementation of Erasure-Only Reed Solomon Decoders for Hybrid-ARQ Systems. CoRR abs/1603.09062 (2016) - 2015
- [c2]Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin:
SVM-based sketch recognition: which hyperparameter interval to try? SBIM@Expressive 2015: 117-121 - [c1]Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin:
SVM for sketch recognition: Which hyperparameter interval to try? SIU 2015: 943-946
Coauthor Index
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