I agree that this site is using cookies. You can find further informations here.
X
Pazzani, Michael J
98  results:
Search for persons X
?
1

Detecting Glaucoma from Fundus Photographs Using Deep Learn..:

Fan, Rui ; Alipour, Kamran ; Bowd, Christopher...
Ophthalmology Science.  3 (2023)  1 - p. 100233 , 2023
Link: https://doi.org/10.1016/..
 
?
2

Feature Interpretation Using Generative Adversarial Network..:

Hasenstab, Kyle A. ; Huynh, Justin ; Masoudi, Samira...
IEEE Access.  11 (2023)  - p. 5144-5160 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Deep Learning Radiographic Assessment of Pulmonary Edema: O..:

Huynh, Justin ; Masoudi, Samira ; Noorbakhsh, Abraham...
IEEE Access.  10 (2022)  - p. 48577-48588 , 2022
Link: https://doi.org/10.1109/..
 
?
4

A Comprehensive Explanation Framework for Biomedical Time S..:

Ivaturi, Praharsh ; Gadaleta, Matteo ; Pandey, Amitabh C....
IEEE Journal of Biomedical and Health Informatics.  25 (2021)  7 - p. 2398-2408 , 2021
Link: https://doi.org/10.1109/..
 
?
5

Ghost Imputation: Accurately Reconstructing Missing Data of..:

Rawassizadeh, Reza ; Keshavarz, Hamidreza ; Pazzani, Michael
IEEE Transactions on Knowledge and Data Engineering.  32 (2020)  11 - p. 2185-2197 , 2020
Link: https://doi.org/10.1109/..
 
?
6

Indexing Multivariate Mobile Data through Spatio-Temporal E..:

Rawassizadeh, Reza ; Dobbins, Chelsea ; Akbari, Mohammad.
Sensors.  19 (2019)  3 - p. 448 , 2019
Link: https://doi.org/10.3390/..
 
?
7

Manifestation of virtual assistants and robots into daily l..:

Rawassizadeh, Reza ; Sen, Taylan ; Kim, Sunny Jung...
CCF Transactions on Pervasive Computing and Interaction.  1 (2019)  3 - p. 163-174 , 2019
Link: https://doi.org/10.1007/..
 
?
8

Scalable Daily Human Behavioral Pattern Mining from Multiva..:

Rawassizadeh, Reza ; Momeni, Elaheh ; Dobbins, Chelsea..
IEEE Transactions on Knowledge and Data Engineering.  28 (2016)  11 - p. 3098-3112 , 2016
Link: https://doi.org/10.1109/..
 
?
9

Energy-Efficient Integration of Continuous Context Sensing ..:

Rawassizadeh, Reza ; Tomitsch, Martin ; Nourizadeh, Manouchehr...
Sensors.  15 (2015)  9 - p. 22616-22645 , 2015
Link: https://doi.org/10.3390/..
 
?
10

Proceedings of the 16th international conference on Intelli..:

Pu, Pearl ; Pazzani, Michael ; André, Elisabeth. , 2011
Link: https://dl.acm.org/doi/1..
 
?
11

Active learning using on-line algorithms:

, In: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining,
Mesterharm, Chris ; Pazzani, Michael J. - p. 850-858 , 2011
Link: https://dl.acm.org/doi/1..
 
?
12

An energy-efficient mobile recommender system:

, In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining,
Ge, Yong ; Xiong, Hui ; Tuzhilin, Alexander... - p. 899-908 , 2010
Link: https://dl.acm.org/doi/1..
 
?
13

Mining for proposal reviewers : lessons learned at the n..:

, In: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining,
Hettich, Seth ; Pazzani, Michael J. - p. 862-871 , 2006
Link: https://dl.acm.org/doi/1..
 
?
14

The Lowell database research self-assessment:

Abiteboul, Serge ; Agrawal, Rakesh ; Bernstein, Phil...
Communications of the ACM.  48 (2005)  5 - p. 111-118 , 2005
Link: https://dl.acm.org/doi/1..
 
?
15

The Lowell database research self-assessment:

Abiteboul, Serge ; Agrawal, Rakesh ; Bernstein, Phil...
Communications of the ACM.  48 (2005)  5 - p. 111-118 , 2005
Link: https://doi.org/10.1145/..
 
1-15