E-LIB Suche - Ergebnisse für: Carbonell, Jaime G.

1

Technology For Humanitarian Action

International Humanitarian Affairs

Black, Alan W. ; Braddock, Joseph V. ; Bravman, Joseph... , [2022]

Link: https://www.degruyter.co..

2

Toward Reciprocity-Aware Distributed Learning in Referral N..:

, In: PRICAI 2019: Trends in Artificial Intelligence; Lecture Notes in Computer Science,

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G. - p. 121-135 , 2019

Link: https://doi.org/10.1007/..

3

Expertise drift in referral networks:

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G.
Autonomous Agents and Multi-Agent Systems. 33 (2019) 5 - p. 645-671 , 2019

Link: https://doi.org/10.1007/..

4

Endorsement in Referral Networks:

, In: Multi-Agent Systems; Lecture Notes in Computer Science,

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G. - p. 172-187 , 2019

Link: https://doi.org/10.1007/..

5

Expertise Drift in Referral Networks:

, In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems,

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G. - p. 425-433 , 2018

Link: https://dl.acm.org/doi/1..

6

Market-Aware Proactive Skill Posting:

, In: Lecture Notes in Computer Science; Foundations of Intelligent Systems,

KhudaBukhsh, Ashiqur R. ; Hong, Jong Woo ; Carbonell, Jaime G. - p. 323-332 , 2018

Link: https://doi.org/10.1007/..

7

Robust learning in expert networks: a comparative analysis:

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G. ; Jansen, Peter J.
Journal of Intelligent Information Systems. 51 (2018) 2 - p. 207-234 , 2018

Link: https://doi.org/10.1007/..

8

Incentive Compatible Proactive Skill Posting in Referral Ne..:

, In: Multi-Agent Systems and Agreement Technologies; Lecture Notes in Computer Science,

KhudaBukhsh, Ashiqur R. ; Carbonell, Jaime G. ; Jansen, Peter J. - p. 29-43 , 2018

Link: https://doi.org/10.1007/..

9

SMOOTHING PROXIMAL GRADIENT METHOD FOR GENERAL STRUCTURED S..:

Chen, Xi ; Lin, Qihang ; Kim, Seyoung..
The Annals of Applied Statistics. 6 (2012) 2 - p. 719-752 , 2012

Link: https://www.jstor.org/st..

10

Learning generative models for protein fold families:

Balakrishnan, Sivaraman ; Kamisetty, Hetunandan ; Carbonell, Jaime G...
Proteins: Structure, Function, and Bioinformatics. 79 (2011) 4 - p. 1061-1078 , 2011

Link: https://doi.org/10.1002/..

11

Active learning for human protein-protein interaction predi..:

Mohamed, Thahir P ; Carbonell, Jaime G ; Ganapathiraju, Madhavi K
BMC Bioinformatics. 11 (2010) S1 - p. , 2010

Link: https://doi.org/10.1186/..

12

Active machine learning for transmembrane helix prediction:

Osmanbeyoglu, Hatice U ; Wehner, Jessica A ; Carbonell, Jaime G.
BMC Bioinformatics. 11 (2010) S1 - p. , 2010

Link: https://doi.org/10.1186/..

13

Semi-supervised multi-task learning for predicting interact..:

Qi, Yanjun ; Tastan, Oznur ; Carbonell, Jaime G...
Bioinformatics. 26 (2010) 18 - p. i645-i652 , 2010

Link: https://doi.org/10.1093/..

14

It pays to be picky : an evaluation of thread retrieval ..:

, In: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval,

Elsas, Jonathan L. ; Carbonell, Jaime G. - p. 714-715 , 2009

Link: https://dl.acm.org/doi/1..

15

Efficiently learning the accuracy of labeling sources for s..:

, In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining,

Donmez, Pinar ; Carbonell, Jaime G. ; Schneider, Jeff - p. 259-268 , 2009

Link: https://dl.acm.org/doi/1..