SVM-based sketch recognition: which hyperparameter interval to try? - Kemal Tugrul Yesilbek; Cansu Sen; Serike Cakmak; T. Metin Sezgin (SBIM@Expressive, 2015)

SVM for sketch recognition: Which hyperparameter interval to try? - Kemal Tugrul Yesilbek; Cansu Sen; Serike Cakmak; T. Metin Sezgin (SIU, 2015)

FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems. - Cansu Sen; Soner Yesil; Ertugrul Kolagasioglu (SIU, 2016)

CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining. - Cansu Sen; Thomas Hartvigsen; Elke A. Rundensteiner; Kajal T. Claypool (ECML/PKDD (3), 2017)

FPGA implementation of a wideband Gaussian random number generator with low resource utilization. - Cansu Sen; Soner Yesil (SIU, 2017)

Early Prediction of MRSA Infections using Electronic Health Records. - Thomas Hartvigsen; Cansu Sen; Sarah Brownell; Erin Teeple; Xiangnan Kong; Elke A. Rundensteiner (HEALTHINF, 2018)

Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data. - Thomas Hartvigsen; Cansu Sen; Elke A. Rundensteiner (BIOSTEC (Selected Papers), 2018)

Low complexity receivers for continuous phase modulation. - Cansu Sen; Emre Aktas (SIU, 2018)

Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining. - Jidapa Thadajarassiri; Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (BHI, 2019)

Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. - Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2019)

Learning Temporal Relevance in Longitudinal Medical Notes. - Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2019)

Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion. - Soner Yesil; Cansu Sen; Ali Özgür Yilmaz (ICECS, 2019)

Adaptive-Halting Policy Network for Early Classification. - Thomas Hartvigsen; Cansu Sen; Xiangnan Kong; Elke A. Rundensteiner (KDD, 2019)

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? - Cansu Sen; Thomas Hartvigsen; Biao Yin; Xiangnan Kong; Elke A. Rundensteiner (ACL, 2020)

Learning Similarity-Preserving Meta-Embedding for Text Mining. - Jidapa Thadajarassiri; Cansu Sen; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2020)

Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection. - Erin Teeple; Thomas Hartvigsen; Cansu Sen; Kajal T. Claypool; Elke A. Rundensteiner (HEALTHINF, 2020)

Learning to Selectively Update State Neurons in Recurrent Networks. - Thomas Hartvigsen; Cansu Sen; Xiangnan Kong; Elke A. Rundensteiner (CIKM, 2020)

Recurrent Halting Chain for Early Multi-label Classification. - Thomas Hartvigsen; Cansu Sen; Xiangnan Kong; Elke A. Rundensteiner (KDD, 2020)

Time-Aware Transformer-based Network for Clinical Notes Series Prediction. - Dongyu Zhang; Jidapa Thadajarassiri; Cansu Sen; Elke A. Rundensteiner (MLHC, 2020)

Human-like Explanation for Text Classification With Limited Attention Supervision. - Dongyu Zhang; Cansu Sen; Jidapa Thadajarassiri; Thomas Hartvigsen; Xiangnan Kong; Elke A. Rundensteiner (IEEE BigData, 2021)

From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention. - Cansu Sen; Bingyang Ye; Javed Aslam; Amir Tahmasebi (CoRR, 2021)