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Publication search results
found 34 matches
- 2023
- Cansu Cav, Aysegül Altin-Kayhan:
Coverage hole optimization with a mobile sensor in wireless sensor networks for smart grid. Ad Hoc Networks 140: 103039 (2023) - Cansu Dogan, Selim Yilmaz, Sevil Sen:
Assessing the Impact of Mobile Attackers on RPL-based Internet of Things. CoRR abs/2303.16499 (2023) - Luis Morales-Navarro, Yasmin B. Kafai, Francisco Enrique Vicente Castro, William Christopher Payne, Kayla DesPortes, Daniella DiPaola, Randi Williams, Safinah Ali, Cynthia Breazeal, Clifford H. Lee, Elisabeth Soep, Duri Long, Brian Magerko, Jaemarie Solyst, Amy Ogan, Cansu Tatar, Shiyan Jiang, Jie Chao, Carolyn P. Rosé, Sepehr Vakil:
Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI. CoRR abs/2305.02840 (2023) - 2022
- Nevin Aydin, Pinar Yildiz, Döndü Üsküdar Cansu, Elif Gündogdu, Rüya Mutluay, Göknur Yorulmaz, Melisa Sahin Tekin, Evin Kocaturk, I. Özkan Alatas, Elif Doyuk Kartal, Nurettin Erben, Gül Durmaz, Nilgun Kasifoglu, Tercan Us, Garip Sahin, Cengiz Bal, Senay Yilmaz, Cengiz Korkmaz:
Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system. BMC Medical Imaging 22(1): 128 (2022) - Cansu Tatar, Duncan Culbreth, Shiyan Jiang, Carolyn P. Rosé, Jie Chao, Rebecca Ellis, Shan Jiang, Kenia Wiedemann:
High School Students' Sense-making of Artificial Intelligence and Machine Learning. Koli Calling 2022: 32:1-32:2 - Cansu Dogan, Selim Yilmaz, Sevil Sen:
Analysis of RPL Objective Functions with Security Perspective. SENSORNETS 2022: 71-80 - Dizdar Ünalir, Sila Sezgin, Cansu Sena Yuva, Bengisu Yalçinkaya Gökdogan, Elif Aydin:
Low Radar Cross Section UAV Design in X-Band. SIU 2022: 1-4 - 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: 957-967 - 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
- 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 - Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Similarity-Preserving Meta-Embedding for Text Mining. IEEE BigData 2020: 808-817 - 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 - Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Learning to Selectively Update State Neurons in Recurrent Networks. CIKM 2020: 485-494 - Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Recurrent Halting Chain for Early Multi-label Classification. KDD 2020: 1382-1392 - Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, Elke A. Rundensteiner:
Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020: 566-588 - Cansu Eren, Saeid Karamzadeh, Mesut Kartal:
Signal Processing Techniques for Human Vital Signs Sensing by Short Range Radar. SIU 2020: 1-4 - 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: 1-4 - 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 - Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Temporal Relevance in Longitudinal Medical Notes. IEEE BigData 2019: 2474-2483 - 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 - Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner:
Adaptive-Halting Policy Network for Early Classification. KDD 2019: 101-110 - Cansu Sunu, Cenk Toker:
Construction of TEC Maps Using Compressive Sensing. SIU 2019: 1-4 - 2018
- 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 - 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 - Lining Huang, Shibajyoti Ghosh Dastider, Cansu Agca Yuksel Agca, James D. Benson, Mahmoud F. Almasri:
Lab on Chip Microfluidic Sensor for Individual Red Blood Cell Water Permeability Measurement. NEMS 2018: 44-47 - Cansu Sen, Emre Aktas:
Low complexity receivers for continuous phase modulation. SIU 2018: 1-4 - 2017
- Kaya Turgut, Helin Dutagaci, Cansu Soyleyici, Sezgin Secil, Metin Ozkan, Osman Parlaktuna, Mustafa Parlaktuna:
A method for determining local coordinate frames attached to objects by a laser profile sensor in industrial robot workspaces. ICARSC 2017: 260-265 - 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 - Cansu Sen, Soner Yesil:
FPGA implementation of a wideband Gaussian random number generator with low resource utilization. SIU 2017: 1-4 - 2016
- Cansu Sen, Soner Yesil, Ertugrul Kolagasioglu:
FPGA impementation of erasure-only reed Solomon decoders for hybrid-ARQ systems. SIU 2016: 689-692
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