Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Matthew Schofield"'
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-25 (2021)
Traditional regression models, including generalized linear mixed models, focus on understanding the deterministic factors that affect the mean of a response variable. Many biological studies seek to understand non-deterministic patterns in the varia
Externí odkaz:
https://doaj.org/article/463e8c63b68b4e018ed1faac4a8af5e5
Autor:
Murray Efford, Matthew Schofield
Publikováno v:
Methods in Ecology and Evolution. 13:2106-2118
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6157f889bf97d48093bdbff881e53c95
https://doi.org/10.1111/2041-210x.13947
https://doi.org/10.1111/2041-210x.13947
Publikováno v:
ITSC
Shared mobility systems regularly suffer from an imbalance of vehicle supply within the system, particularly when there is a spike in user demand at certain locations or an increase in number of vehicles due to special events. If such imbalances are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15df3f5bf3d2bae06cb4e20ef98788c2
https://doi.org/10.1109/itsc48978.2021.9564531
https://doi.org/10.1109/itsc48978.2021.9564531
Autor:
Paul Turner, Cameron Thatcher, Russell Binaco, Alex Lam, Gulsum Alicioglu, Anthony Breitzman, Bo Sun, Matthew Schofield
Malicious software is constantly being developed and improved, so detection and classification of malwareis an ever-evolving problem. Since traditional malware detection techniques fail to detect new/unknown malware, machine learning algorithms have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3dbcb3081782271dfb9a11e56fac8fd
Autor:
Matthew Schofield, Gulsum Alicioglu, Russell Binaco, Alex Lam, Bo Sun, Cameron Thatcher, Paul Turner
Publikováno v:
Computer Science & Information Technology (CS & IT).
Malicious software is constantly being developed and improved, so detection and classification of malicious applications is an ever-evolving problem. Since traditional malware detection techniques fail to detect new or unknown malware, machine learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a0f37db20b985db23f6fb94e504db00
https://doi.org/10.5121/csit.2021.110106
https://doi.org/10.5121/csit.2021.110106
Publikováno v:
Advances in Computer Vision and Computational Biology ISBN: 9783030710507
PubMed, the biomedical database of the National Institutes of Health, contains over 30 million abstracts. Comparisons between pairs of abstracts can reveal novel and highly valuable hypotheses, especially if the connected abstracts are in very differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bcef77456cba9693633ebdc2b327784
https://doi.org/10.1007/978-3-030-71051-4_63
https://doi.org/10.1007/978-3-030-71051-4_63
Autor:
Luc Paquette, Gautam Biswas, Anabil Munshi, Stephen Hutt, Matthew Schofield, Jaclyn Ocumpaugh, Allison Moore, Ryan S. Baker, Stefan Slater, Nidhi Nasiar, Juliana Ma. Alexandra L. Andres
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782917
AIED (1)
AIED (1)
Frustration is a natural part of learning in AIED systems but remains relatively poorly understood. In particular, it remains unclear how students’ perceptions about the learning activity drive their experience of frustration and their subsequent c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8cae686d7d00b1a0a0258d94a0b5468
https://doi.org/10.1007/978-3-030-78292-4_5
https://doi.org/10.1007/978-3-030-78292-4_5
Publikováno v:
LENS@SIGSPATIAL
Social media, traffic sensors, GPS trajectories, and location-based social network data provide diverse Spatio temporal information sources that help to detect and analysis Spatio temporal events. Nowadays, bike sharing systems are active all over th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbce1b912379f9e303fde29251d59544
https://doi.org/10.1145/3356473.3365190
https://doi.org/10.1145/3356473.3365190
Publikováno v:
MDM
The timely detection of anomalous flight behavior is critical to ensure a prompt and appropriate response to mitigate any dangers to flight safety or hindrance of logistics operations. Most previous approaches focused on anomaly detection, leading th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ae2022254f68765300d7ac8784f2c14
https://doi.org/10.1109/mdm.2019.00-75
https://doi.org/10.1109/mdm.2019.00-75
Autor:
Eric N. Zielonka, Shen-Shyang Ho, Jean Kirschner, Bo Beth Sun, Aleksandr Fritz, Anthony Breitzman, Kimberly Davis, Jason Snouffer, Brendan Armstrong, Matthew Schofield, Brennan Ringel
Publikováno v:
IEEE BigData
We propose integrating data visualization and machine learning techniques to support Air Traffic Controller (ATC) systems for detecting and identifying friendly/unfriendly aircraft. Our platform composes data-driven decisions to optimize strategic, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04568171cc9557b4d3d7c3ef00a21447
https://doi.org/10.1109/bigdata.2018.8622086
https://doi.org/10.1109/bigdata.2018.8622086