Cansu Sen

According to our database1, Cansu Sen authored at least 21 papers between 2015 and 2021.

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Bibliography

2021
From Extreme Multi-label to Multi-class: A Hierarchical Approach for Automated ICD-10 Coding Using Phrase-level Attention.
CoRR, 2021

Human-like Explanation for Text Classification With Limited Attention Supervision.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Time-Aware Transformer-based Network for Clinical Notes Series Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2020

Recurrent Halting Chain for Early Multi-label Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Selectively Update State Neurons in Recurrent Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Learning Similarity-Preserving Meta-Embedding for Text Mining.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Adaptive-Halting Policy Network for Early Classification.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Experimental Analysis and FPGA Implementation of the Real Valued Time Delay Neural Network Based Digital Predistortion.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

Learning Temporal Relevance in Longitudinal Medical Notes.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Low complexity receivers for continuous phase modulation.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Detecting MRSA Infections by Fusing Structured and Unstructured Electronic Health Record Data.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Early Prediction of MRSA Infections using Electronic Health Records.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
FPGA implementation of a wideband Gaussian random number generator with low resource utilization.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015
SVM for sketch recognition: Which hyperparameter interval to try?
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

SVM-based sketch recognition: which hyperparameter interval to try?
Proceedings of the 12th International Symposium on Sketch-Based Interfaces and Modeling, 2015


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