Jairo Gutierrez
researcher
Facts
14 properties- Instance of
- human
- Date of birth
- 1960
- Occupation
- researcher
- Educated at
- University of Auckland, Texas A&M University
- Doctoral advisor
- Justo A. Diaz, Lech Janczewski[4][5]
- Doctoral student
- David Airehrour, Aminu Bello Usman, Emmanuel Ndashimye, Fadi Alhaddadin, Hazim Jarrah, William Caicedo, Ndukwe Ukeje, Deepika Mohan, Wikidata item, Novy Nur Rahmillah Ayu Mokobombang[8][9][10][11][12][13][14][15][16][17]
- Academic degree
- Doctor of Philosophy[18]
- On focus list of Wikimedia project
- NZThesisProject[22]
- Student
- Mirza Mohsin Baig[6]
🏷️ Also known as
en Jairo Gutierrez
🔖 Identifiers · 13
- ISNI
- 0000000040709744
- ORCID iD
- 0000-0002-2103-8636
- VIAF cluster ID
- 31429932
- Library of Congress Authorities ID
- n2006072881
- GND ID
- 173921590
- OpenAlex ID
- A5023063391
- BNB person ID (OBSOLETE)
- GutiérrezJairo1960-
- DBLP author ID
- 16/1799
- Dimensions author ID
- 011036132617.72
- J9U entity ID
- 987007396865605171
- Loop ID
- 970480
- Scopus author ID
- 7401653270
Show all 13 identifiers +1
- UOM ID
- 85585
🔗 Connections
Author of 10
Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology,
Comparison-based system-level fault diagnosis protocols for mobile ad-hoc networks: A survey,
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications,
Enhancing Critical Infrastructure Security: Unsupervised Learning Approaches for Anomaly Detection,
Impact of Machine Learning on Intrusion Detection Systems for the Protection of Critical Infrastructure,
ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes,
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU,
Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks
+2 more
← Authored by 10
Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology,
Comparison-based system-level fault diagnosis protocols for mobile ad-hoc networks: A survey,
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications,
Enhancing Critical Infrastructure Security: Unsupervised Learning Approaches for Anomaly Detection,
Impact of Machine Learning on Intrusion Detection Systems for the Protection of Critical Infrastructure,
ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes,
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU,
Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks
+2 more
Affiliated with 2
Press Enter · cited answer in seconds