Cansu Sen

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 22

Top Topics

Text Classification

Top Venues

Publications

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 (2021)
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)
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Learning Similarity-Preserving Meta-Embedding for Text Mining. IEEE BigData (2020)
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)
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
Learning to Selectively Update State Neurons in Recurrent Networks. CIKM (2020)
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)
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
Recurrent Halting Chain for Early Multi-label Classification. KDD (2020)
Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke A. Rundensteiner
Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC (2020)
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
Adaptive-Halting Policy Network for Early Classification. KDD (2019)
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)
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining. BHI (2019)
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. IEEE BigData (2019)
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
Learning Temporal Relevance in Longitudinal Medical Notes. IEEE BigData (2019)
Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke A. Rundensteiner
Early Prediction of MRSA Infections using Electronic Health Records. HEALTHINF (2018)
Cansu Sen, Emre Aktas
Low complexity receivers for continuous phase modulation. SIU (2018)
Thomas Hartvigsen, Cansu Sen, Elke A. Rundensteiner
Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data. BIOSTEC (Selected Papers) (2018)
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)
Cansu Sen, Soner Yesil
FPGA implementation of a wideband Gaussian random number generator with low resource utilization. SIU (2017)
Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu
FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems. SIU (2016)
Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu
FPGA Impementation of Erasure-Only Reed Solomon Decoders for Hybrid-ARQ Systems. CoRR (2016)
Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin
SVM for sketch recognition: Which hyperparameter interval to try? SIU (2015)
Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin
SVM-based sketch recognition: which hyperparameter interval to try? SBIM@Expressive (2015)