Cansu Sen

22 papers A* 3A 1Journal 2Unranked 16
YearRankTypeTitle / Venue / Authors
2021 J jnl
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention.
CoRR
Cansu Sen, Bingyang Ye, Javed Aslam, Amir Tahmasebi
2021 — conf
Human-like Explanation for Text Classification With Limited Attention Supervision.
IEEE BigData
Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2020 — conf
Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection.
HEALTHINF
Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal T. Claypool, Elke A. Rundensteiner
2020 A* conf
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
ACL
Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong, Elke A. Rundensteiner
2020 — conf
Learning Similarity-Preserving Meta-Embedding for Text Mining.
IEEE BigData
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2020 A conf
Learning to Selectively Update State Neurons in Recurrent Networks.
CIKM
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020 A* conf
Recurrent Halting Chain for Early Multi-label Classification.
KDD
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020 — conf
Time-Aware Transformer-based Network for Clinical Notes Series Prediction.
MLHC
Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke A. Rundensteiner
2019 A* conf
Adaptive-Halting Policy Network for Early Classification.
KDD
Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining.
BHI
Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion.
ICECS
Soner Yesil, Cansu Sen, Ali Özgür Yilmaz
2019 — conf
Learning Temporal Relevance in Longitudinal Medical Notes.
IEEE BigData
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2019 — conf
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention.
IEEE BigData
Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner
2018 — conf
Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data.
BIOSTEC (Selected Papers)
Thomas Hartvigsen, Cansu Sen, Elke A. Rundensteiner
2018 — conf
Early Prediction of MRSA Infections using Electronic Health Records.
HEALTHINF
Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke A. Rundensteiner
2018 — conf
Low complexity receivers for continuous phase modulation.
SIU
Cansu Sen, Emre Aktas
2017 — conf
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining.
ECML/PKDD (3)
Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool
2017 — conf
FPGA implementation of a wideband Gaussian random number generator with low resource utilization.
SIU
Cansu Sen, Soner Yesil
2016 J jnl
FPGA Impementation of Erasure-Only Reed Solomon Decoders for Hybrid-ARQ Systems.
CoRR
Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu
2016 — conf
FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems.
SIU
Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu
2015 — conf
SVM for sketch recognition: Which hyperparameter interval to try?
SIU
Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin
2015 — conf
SVM-based sketch recognition: which hyperparameter interval to try?
SBIM@Expressive
Kemal Tugrul Yesilbek, Cansu Sen, Serike Cakmak, T. Metin Sezgin