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David Heise

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2020 – today

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2024
[j7]
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Jacqueline Honerlaw, Yuk-Lam Ho, Francesca Fontin, Michael Murray, Ashley Galloway, David Heise, Keith Connatser, Laura Davies, Jeffrey Gosian, Monika Maripuri, John Russo, Rahul Sangar, Vidisha Tanukonda, Edward Zielinski, Maureen Dubreuil, Andrew J. Zimolzak, Vidul Ayakulangara Panickan, Su-Chun Cheng, Stacey B. Whitbourne, David R. Gagnon, Tianxi Cai, Katherine P. Liao, Rachel B. Ramoni, J. Michael Gaziano, Sumitra Muralidhar, Kelly Cho:
Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users. J. Am. Medical Informatics Assoc. 31(5): 1126-1134 (2024)
[c22]
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Nichole Voegeli, David Heise:
A Computational Exploration of Musical Timbre. CCECE 2024: 184-85
2023
[j6]
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Pallavi Gupta, Jamal Saied-Walker, Laurel Despins, David Heise, James Keller, Marjorie Skubic, Ruhan Yi, Grant J. Scott:
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. J. Biomed. Informatics 147: 104530 (2023)
[c21]
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David Heise, Helen L. Bear:
Evaluating the Potential and Realized Impact of Data Augmentations. SSCI 2023: 1112-1119
2022
[c20]
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Pallavi Gupta, Laurel Despins, David Heise, Jamal Saied-Walker, Ruhan Yi, Marjorie Skubic, Grant J. Scott:
A Computational Respiration Factor to Detect Abnormal Respiratory Patterns Using a Hydraulic Bed Sensor for Older Adults Aging-in-place. AMIA 2022
2021
[j5]
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David Heise:
Guest Editorial. IEEE Instrum. Meas. Mag. 24(7): 3 (2021)
[c19]
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David Heise, Ruhan Yi, Laurel Despins:
Unobtrusively Detecting Apnea and Hypopnea Events via a Hydraulic Bed Sensor. MeMeA 2021: 1-6
[c18]
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David Heise, Helen L. Bear:
Visually Exploring Multi-Purpose Audio Data. MMSP 2021: 1-6
[c17]
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Srikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher B. Stanley:
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. SMC 2021: 139-156
[i1]
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  - journals/corr/abs-2110-04584
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David Heise, Helen L. Bear:
Visually Exploring Multi-Purpose Audio Data. CoRR abs/2110.04584 (2021)
2020
[c16]
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David Heise, Zachary Miller, Mackenzie Wallace, Candace Galen:
Bumble Bee Traffic Monitoring Using Acoustics. I2MTC 2020: 1-6

2010 – 2019

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2019
[c15]
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David Heise, Zachary Miller, Ellie Harrison, Anton Gradisek, Janez Grad, Candace Galen:
Acoustically Tracking the Comings and Goings of Bumblebees. SAS 2019: 1-6
[c14]
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Brian K. Hare, David Heise:
Booting Into AI: Startup Instructions for Teaching Artificial Intelligence. SIGCSE 2019: 1242-1243
2017
[c13]
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Renée McCauley, Bill Z. Manaris, David Heise, Cate Sheller, Jennifer Jolley, Alan Zaring:
Computing in the Arts: Curricular Innovations and Results. SIGCSE 2017: 693-694
2015
[c12]
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David Heise:
Launching CROMA: Computational Research On Music & Audio. SIGCSE 2015: 513
[c11]
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Darrion Jarrell Long, David Heise:
Development of an Offset Detection Task for MIREX 2015 (Abstract Only). SIGCSE 2015: 717
2014
[j4]
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  - journals/ijais/HeiseSF14
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David Heise, Stefan Strecker, Ulrich Frank:
ControlML: A domain-specific modeling language in support of assessing internal controls and the internal control system. Int. J. Account. Inf. Syst. 15(3): 224-245 (2014)
2013
[c10]
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Heiko Kattenstroth, Ulrich Frank, David Heise:
Towards a Modelling Method in Support of Evaluating Information Systems Integration. EMISA 2013: 85-99
[c9]
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David Heise, Licet Rosales, Mary Sheahen, Bo Yu Su, Marjorie Skubic:
Non-invasive measurement of heartbeat with a hydraulic bed sensor Progress, challenges, and opportunities. I2MTC 2013: 397-402
2012
[j3]
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Stefan Strecker, Ulrich Frank, David Heise, Heiko Kattenstroth:
MetricM: a modeling method in support of the reflective design and use of performance measurement systems. Inf. Syst. E Bus. Manag. 10(2): 241-276 (2012)
[c8]
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  - conf/embc/RosalesSHDS12
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Licet Rosales, Marjorie Skubic, David Heise, Michael J. Devaney, Mark Schaumburg:
Heartbeat detection from a hydraulic bed sensor using a clustering approach. EMBC 2012: 2383-2387
2011
[j2]
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Stefan Strecker, David Heise, Ulrich Frank:
Prolegomena of a modelling method in support of audit risk assessment - Outline of a domain-specific modelling language for internal controls and internal control systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 6(3): 5-24 (2011)
[j1]
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Stefan Strecker, David Heise, Ulrich Frank:
RiskM: A multi-perspective modeling method for IT risk assessment. Inf. Syst. Frontiers 13(4): 595-611 (2011)
[c7]
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David Heise, Licet Rosales, Marjorie Skubic, Michael J. Devaney:
Refinement and evaluation of a hydraulic bed sensor. EMBC 2011: 4356-4360
[c6]
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Heiko Kattenstroth, David Heise:
Towards a Method for IT Service Management. PoEM 2011: 178-192
2010
[c5]
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  - conf/gi/Heise10
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David Heise:
Potentiale der Unternehmensmodellierung für das IT-Kostenmanagement. GI Jahrestagung (2) 2010: 633-638
[c4]
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Stefan Strecker, David Heise, Ulrich Frank:
Toward Modeling Constructs for Audit Risk Assessment: Reflections on Internal Controls Modeling. MobIS 2010: 131-148

2000 – 2009

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2008
[c3]
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David Heise, Stefan Strecker, Ulrich Frank, Jürgen Jung:
Erweiterung einer Unternehmensmodellierungsmethode zur Unterstützung des IT-Controllings. Multikonferenz Wirtschaftsinformatik 2008
[c2]
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Ulrich Frank, David Heise, Heiko Kattenstroth, Hanno Schauer:
Designing and Utilising Business Indicator Systems within Enterprise Models-Outline of a Method. MobIS 2008: 89-105
2007
[c1]
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David Heise, Andreas Meyer, Stefan Strecker:
Evaluation quelloffener betrieblicher Anwendungssysteme: Bezugsrahmen und Zwischenergebnisse. GI Jahrestagung (2) 2007: 48-52

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