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2020 – today
- 2024
[c42]Harsh Parikh, Quinn Lanners, Zade Akras, Sahar Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky:
Safe and Interpretable Estimation of Optimal Treatment Regimes. AISTATS 2024: 2134-2142- [i21]Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi:
Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR abs/2405.11739 (2024) - [i20]Songchi Zhou, Ge Song, Haoqi Sun, Yue Leng, M. Brandon Westover, Shenda Hong:
Annotation of Sleep Depth Index with Scalable Deep Learning Yields Novel Digital Biomarkers for Sleep Health. CoRR abs/2407.04753 (2024) - [i19]Jun Li, Aaron Aguirre, Junior Moura, Che Liu, Lanhai Zhong, Chenxi Sun, Gari Clifford, M. Brandon Westover, Shenda Hong:
An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains. CoRR abs/2410.04133 (2024) - 2023
- [j28]Marta B. Fernandes, Navid Valizadeh, Haitham Alabsi, Syed A. Quadri, Ryan A. Tesh
, Abigail A. Bucklin, Haoqi Sun, Aayushee Jain, Laura Brenner, Elissa M. Ye, Wendong Ge, Sarah I. Collens, Stacie Lin, Sudeshna Das, Gregory K. Robbins, Sahar Zafar, Shibani S. Mukerji, M. Brandon Westover:
Classification of neurologic outcomes from medical notes using natural language processing. Expert Syst. Appl. 214: 119171 (2023) - [j27]Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover:
Brain health scores to predict neurological outcomes from electronic health records. Int. J. Medical Informatics 180: 105270 (2023) - [c41]Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford:
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC 2023: 1-4 - [c40]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. ICLR 2023 - [c39]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Biosignal Transformer for Cross-data Learning in the Wild. NeurIPS 2023 - [i18]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023) - [i17]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Cross-data Biosignal Learning in the Wild. CoRR abs/2305.10351 (2023) - [i16]Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky:
Estimating Trustworthy and Safe Optimal Treatment Regimes. CoRR abs/2310.15333 (2023) - [i15]Dennis Tang, Frank Willard, Ronan Tegerdine, Luke Triplett, Jon Donnelly, Luke Moffett, Lesia Semenova, Alina Jade Barnett, Jin Jing, Cynthia Rudin, M. Brandon Westover:
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges. CoRR abs/2312.10056 (2023) - 2022
- [j26]Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [j25]Andreas Brink-Kjaer, Eileen B. Leary, Haoqi Sun, M. Brandon Westover, Katie L. Stone, Paul E. Peppard, Nancy E. Lane, Peggy M. Cawthon, Susan Redline, Poul Jennum, Helge B. D. Sørensen, Emmanuel Mignot:
Age estimation from sleep studies using deep learning predicts life expectancy. npj Digit. Medicine 5 (2022) - [j24]Wei-Long Zheng, Edilberto Amorim, Jin Jing, Ona Wu, Mohammad M. Ghassemi, Jong Woo Lee, Adithya Sivaraju, Trudy Pang, Susan T. Herman, Nicolas Gaspard, Barry J. Ruijter, Marleen C. Tjepkema-Cloostermans, Jeannette Hofmeijer, Michel J. A. M. van Putten, M. Brandon Westover:
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1813-1825 (2022) - [j23]Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover:
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks. IEEE Trans. Biomed. Eng. 69(6): 2094-2104 (2022) - [c38]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c37]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS 2022 - [i14]Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover:
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR abs/2203.04920 (2022) - [i13]Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M. Brandon Westover:
Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning. CoRR abs/2211.05207 (2022) - 2021
- [j22]Qiang Li, M. Brandon Westover, Rui Zhang, Catherine Jean Chu:
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. Frontiers Comput. Neurosci. 15: 680549 (2021) - [j21]John Thomas, Thangavel Prasanth, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. Int. J. Neural Syst. 31(5): 2050074:1-2050074:16 (2021) - [j20]Thangavel Prasanth, John Thomas, Wei Yan Peh, Jin Jing, Yuvaraj Rajamanickam, Sydney S. Cash, Rima Chaudhari, Sagar Karia, Rahul Rathakrishnan, Vinay Saini, Nilesh Shah, Rohit Srivastava, Yee-Leng Tan, M. Brandon Westover, Justin Dauwels:
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. Int. J. Neural Syst. 31(8): 2150032:1-2150032:16 (2021) - [i12]Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, Robert J. Thomas, M. Brandon Westover:
Automated Respiratory Event Detection Using Deep Neural Networks. CoRR abs/2101.04635 (2021) - [i11]Wolfgang Ganglberger, Abigail A. Bucklin, Ryan A. Tesh, Madalena Da Silva Cardoso, Haoqi Sun, Michael J. Leone, Luis Paixao, Ezhil Panneerselvam, Elissa M. Ye, B. Taylor Thompson, Oluwaseun Akeju, David Kuller, Robert J. Thomas, M. Brandon Westover:
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation. CoRR abs/2102.13473 (2021) - [i10]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i9]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i8]Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun:
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR abs/2110.15278 (2021) - [i7]Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR abs/2111.09115 (2021) - 2020
- [j19]John Thomas, Jing Jin, Thangavel Prasanth, Elham Bagheri, Yuvaraj Rajamanickam, Justin Dauwels, Rahul Rathakrishnan, Jonathan J. Halford, Sydney S. Cash, M. Brandon Westover:
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks. Int. J. Neural Syst. 30(11): 2050030:1-2050030:17 (2020) - [j18]Wei-Long Zheng, Haoqi Sun, Oluwaseun Akeju, M. Brandon Westover:
Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning. IEEE Trans. Biomed. Eng. 67(6): 1696-1706 (2020) - [j17]Jiang-Ling Song, Qiang Li, Bo Zhang, M. Brandon Westover, Rui Zhang:
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection. IEEE Trans. Biomed. Eng. 67(8): 2194-2205 (2020) - [c36]Thangavel Prasanth, John Thomas, R. Yuvaraj, Jing Jing, Sydney S. Cash, Rima Chaudhari, Yee-Leng Tan, Rahul Rathakrishnan, Rohit Srivastava, Vinay Saini, M. Brandon Westover, Justin Dauwels:
Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands. EMBC 2020: 3703-3706 - [c35]Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. WWW 2020: 541-550 - [i6]Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. CoRR abs/2002.11701 (2020) - [i5]Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das:
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR abs/2011.06489 (2020)
2010 – 2019
- 2019
- [j16]Qiang Li, Jiang-Ling Song, Si-Hui Li, M. Brandon Westover, Rui Zhang:
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study. Frontiers Comput. Neurosci. 13: 100 (2019) - [j15]Jiang-Ling Song, Luis Paixao, Qiang Li, Si-Hui Li, Rui Zhang, M. Brandon Westover:
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. J. Comput. Neurosci. 47(2-3): 109-124 (2019) - [j14]Haoqi Sun, Eyal Kimchi, Oluwaseun Akeju, Sunil Belur Nagaraj, Lauren M. McClain, David W. Zhou, Emily Boyle, Wei-Long Zheng, Wendong Ge, M. Brandon Westover:
Automated tracking of level of consciousness and delirium in critical illness using deep learning. npj Digit. Medicine 2 (2019) - [j13]Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker:
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [c34]Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford:
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC 2019: 1-4 - [c33]Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia, James M. Murphy, Haoqi Sun, M. Brandon Westover, Riccardo Barbieri, Oluwaseun Akeju:
Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features. EMBC 2019: 2019-2022 - [c32]Kimia Kashkooli, Sam L. Polk, Shubham Chamadia, Eunice Hahm, Breanna Ethridge, Jacob Gitlin, Reine Ibala, Jennifer Mekonnen, Juan Pedemonte, James M. Murphy, Haoqi Sun, M. Brandon Westover, Oluwaseun Akeju:
Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System. EMBC 2019: 5808-5811 - [c31]Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - [c30]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - [i4]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. CoRR abs/1910.06100 (2019) - 2018
- [j12]Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun, Matt T. Bianchi:
Expert-level sleep scoring with deep neural networks. J. Am. Medical Informatics Assoc. 25(12): 1643-1650 (2018) - [j11]Sunil Belur Nagaraj, Lauren M. McClain, Emily J. Boyle, David W. Zhou, Sowmya M. Ramaswamy, Siddharth Biswal, Oluwaseun Akeju, Patrick L. Purdon, M. Brandon Westover:
Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition. IEEE Trans. Biomed. Eng. 65(12): 2684-2691 (2018) - [c29]Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati:
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops 2018: 435-442 - [c28]Mohammad M. Ghassemi, Benjamin Moody, Li-Wei H. Lehman, Christopher Song, Qiao Li, Haoqi Sun, M. Brandon Westover, Gari D. Clifford:
You Snooze, You Win: The PhysioNet/Computing in Cardiology Challenge 2018. CinC 2018: 1-4 - [c27]Haoqi Sun, Sunil Belur Nagaraj, M. Brandon Westover:
Predicting Ordinal Level of Sedation from the Spectrogram of Electroencephalography. CW 2018: 292-295 - [c26]Haoqi Sun, Sunil Belur Nagaraj, Oluwaseun Akeju, Patrick L. Purdon, M. Brandon Westover:
Brain Monitoring of Sedation in the Intensive Care Unit Using a Recurrent Neural Network. EMBC 2018: 1-4 - [c25]Jiang-Ling Song, Haoqi Sun, Jing Jin, Luis Carlos, Lingya Chao, Sydney S. Cash, Rui Zhang, M. Brandon Westover:
A Mean Field Model of Acute Hepatic Encephalopathy. EMBC 2018: 2366-2369 - [c24]John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection. EMBC 2018: 3148-3151 - [c23]Jin Jing, Emile drAngremont, Sahar Zafar, Eric S. Rosenthal, Mohammad Tabaeizadeh, Senan Ebrahim, Justin Dauwels, M. Brandon Westover:
Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. EMBC 2018: 3394-3397 - [c22]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Classifier Cascade to Aid in Detection of Epileptiform Transients in Interictal EEG. ICASSP 2018: 970-974 - [i3]Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun:
HAMLET: Interpretable Human And Machine co-LEarning Technique. CoRR abs/1803.09702 (2018) - 2017
- [j10]Jian Jia, Balaji Goparaju, Jiang-Ling Song, Rui Zhang, M. Brandon Westover:
Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain. Biomed. Signal Process. Control. 38: 148-157 (2017) - [c21]Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai, Emery N. Brown, Roger G. Mark, M. Brandon Westover:
An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets. IEEE BigData 2017: 935-941 - [c20]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Automated epileptiform spike detection via affinity propagation-based template matching. EMBC 2017: 3057-3060 - [c19]Jingzhi An, Patrick L. Purdon, Ken Solt, Nathaniel M. Sims, Emery N. Brown, M. Brandon Westover:
Design, implementation, and evaluation of a physiological closed-loop control device for medically-induced coma. EMBC 2017: 4313-4316 - [i2]Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun:
SLEEPNET: Automated Sleep Staging System via Deep Learning. CoRR abs/1707.08262 (2017) - 2016
- [c18]Sunil Belur Nagaraj, Siddharth Biswal, Valdery Moura Junior, Patrick L. Purdon, M. Brandon Westover:
Personalized Sedation Level Monitoring in ICU Patients Using Heart Rate Variability. CinC 2016 - [c17]Sunil Belur Nagaraj, Sowmya M. Ramaswamy, Siddharth Biswal, Emily J. Boyle, David W. Zhou, Lauren M. McClain, Eric S. Rosenthal, Patrick L. Purdon, M. Brandon Westover:
Heart rate variability as a biomarker for sedation depth estimation in ICU patients. EMBC 2016: 6397-6400 - [c16]Elham Bagheri, Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
Fast and efficient rejection of background waveforms in interictal EEG. ICASSP 2016: 744-748 - [c15]John Thomas, Jing Jin, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Clustering of interictal spikes by dynamic time warping and affinity propagation. ICASSP 2016: 749-753 - [c14]Alexander Rosenberg Johansen, Jing Jin, Tomasz Maszczyk, Justin Dauwels, Sydney S. Cash, M. Brandon Westover:
Epileptiform spike detection via convolutional neural networks. ICASSP 2016: 754-758 - 2015
- [c13]Mohammad M. Ghassemi, Edilberto Amorim, Sandipan B. Pati, Roger G. Mark, Emery N. Brown, Patrick L. Purdon, M. Brandon Westover:
An enhanced cerebral recovery index for coma prognostication following cardiac arrest. EMBC 2015: 534-537 - [c12]Siddharth Biswal, Zarina Nip, Valdery Moura Junior, Matt T. Bianchi, Eric S. Rosenthal, M. Brandon Westover:
Automated information extraction from free-text EEG reports. EMBC 2015: 6804-6807 - [c11]David W. Zhou, M. Brandon Westover, Lauren M. McClain, Sunil Belur Nagaraj, Ednan K. Bajwa, Sadeq A. Quraishi, Oluwaseun Akeju, J. Perren Cobb, Patrick L. Purdon:
Clustering analysis to identify distinct spectral components of encephalogram burst suppression in critically ill patients. EMBC 2015: 7258-7261 - [c10]Jingzhi An, Durga Jonnalagadda, Valdery Moura Junior, Patrick L. Purdon, Emery N. Brown, M. Brandon Westover:
Spatial variation in automated burst suppression detection in pharmacologically induced coma. EMBC 2015: 7430-7433 - 2014
- [j9]Zuo Bai, Guang-Bin Huang, Danwei Wang, Han Wang, M. Brandon Westover:
Sparse Extreme Learning Machine for Classification. IEEE Trans. Cybern. 44(10): 1858-1870 (2014) - [c9]Jing Jin, Justin Dauwels, Sydney Cash, M. Brandon Westover:
SpikeGUI: Software for rapid interictal discharge annotation via template matching and online machine learning. EMBC 2014: 4435-4438 - 2013
- [j8]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. ACM Trans. Knowl. Discov. Data 7(3): 10:1-10:31 (2013) - [c8]M. Brandon Westover, ShiNung Ching, Mouhsin M. Shafi, Sydney S. Cash, Emery N. Brown:
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression. EMBC 2013: 7108-7111 - 2012
- [c7]Alexander Van Esbroeck, M. Brandon Westover:
Data-driven modeling of sleep states from EEG. EMBC 2012: 5090-5093 - [c6]Stephanie Liddle, Lata Grover, Rachel Zhang, Maxim Khitrov, Joan C. Brown, J. Perren Cobb, Julian Goldman, Joseph Chou, Daniel Yagoda, M. Brandon Westover, Andrew T. Reisner:
Safety evaluation of a Medical Device Data System. EMBC 2012: 5899-5902 - [c5]Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn J. Keogh:
Searching and mining trillions of time series subsequences under dynamic time warping. KDD 2012: 262-270 - 2011
- [j7]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo:
A disk-aware algorithm for time series motif discovery. Data Min. Knowl. Discov. 22(1-2): 73-105 (2011)
2000 – 2009
- 2009
- [c4]Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover:
Exact Discovery of Time Series Motifs. SDM 2009: 473-484 - 2008
- [j6]M. Brandon Westover, Joseph A. O'Sullivan:
Achievable Rates for Pattern Recognition. IEEE Trans. Inf. Theory 54(1): 299-320 (2008) - [j5]M. Brandon Westover:
Asymptotic Geometry of Multiple Hypothesis Testing. IEEE Trans. Inf. Theory 54(7): 3327-3329 (2008) - 2006
- [c3]Joseph A. O'Sullivan, Naveen Singla, M. Brandon Westover:
Successive Refinement for Pattern Recognition. ITW 2006: 141-145 - 2005
- [c2]M. Brandon Westover, Joseph A. O'Sullivan:
Achievable rates for pattern recognition: binary and Gaussian cases. ISIT 2005: 28-32 - [i1]M. Brandon Westover, Joseph A. O'Sullivan:
Achievable Rates for Pattern Recognition. CoRR abs/cs/0509022 (2005) - 2004
- [c1]M. Brandon Westover, Joseph A. O'Sullivan:
Towards an information theoretic framework for object recognition. ISIT 2004: 219 - 2003
- [j4]Brian J. Fischer, M. Brandon Westover:
The neural multiple access channel. Neurocomputing 52-54: 511-518 (2003) - [j3]M. Brandon Westover, Charles H. Anderson:
Layer 4C in monkey V1 may linearize the output of the LGN. Neurocomputing 52-54: 671-676 (2003) - 2002
- [j2]M. Brandon Westover, Chris Eliasmith, Charles H. Anderson:
Linearly decodable functions from neural population codes. Neurocomputing 44-46: 691-696 (2002) - [j1]Chris Eliasmith, M. Brandon Westover, Charles H. Anderson:
A general framework for neurobiological modeling: an application to the vestibular system. Neurocomputing 44-46: 1071-1076 (2002)
Coauthor Index
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