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Prithviraj Sen
Prithviraj Sen
Dirección de correo verificada de amazon.com
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Collective classification in network data
P Sen, G Namata, M Bilgic, L Getoor, B Galligher, T Eliassi-Rad
AI magazine 29 (3), 93-93, 2008
46422008
A survey of the state of explainable AI for natural language processing
M Danilevsky, K Qian, R Aharonov, Y Katsis, B Kawas, P Sen
arXiv preprint arXiv:2010.00711, 2020
4932020
Representing and querying correlated tuples in probabilistic databases
P Sen, A Deshpande
2007 IEEE 23rd international conference on data engineering, 596-605, 2006
3162006
Systemml: Declarative machine learning on spark
M Boehm, MW Dusenberry, D Eriksson, AV Evfimievski, FM Manshadi, ...
Proceedings of the VLDB Endowment 9 (13), 1425-1436, 2016
2632016
PrDB: managing and exploiting rich correlations in probabilistic databases
P Sen, A Deshpande, L Getoor
The VLDB Journal 18, 1065-1090, 2009
1502009
Entity disambiguation with hierarchical topic models
SS Kataria, KS Kumar, RR Rastogi, P Sen, SH Sengamedu
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
1242011
Hybrid parallelization strategies for large-scale machine learning in systemml
M Boehm, S Tatikonda, B Reinwald, P Sen, Y Tian, DR Burdick, ...
Proceedings of the VLDB Endowment 7 (7), 553-564, 2014
1112014
Link-based classification
P Sen, L Getoor
UMIACS, 2007
1082007
Active learning for large-scale entity resolution
K Qian, L Popa, P Sen
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
1012017
Exploiting shared correlations in probabilistic databases
P Sen, A Deshpande, L Getoor
Proceedings of the VLDB Endowment 1 (1), 809-820, 2008
972008
A comprehensive benchmark framework for active learning methods in entity matching
VV Meduri, L Popa, P Sen, M Sarwat
Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020
802020
Bisimulation-based approximate lifted inference
P Sen, A Deshpande, L Getoor
arXiv preprint arXiv:1205.2616, 2012
732012
On optimizing operator fusion plans for large-scale machine learning in systemml
M Boehm, B Reinwald, D Hutchison, AV Evfimievski, P Sen
arXiv preprint arXiv:1801.00829, 2018
722018
Collective context-aware topic models for entity disambiguation
P Sen
Proceedings of the 21st international conference on World Wide Web, 729-738, 2012
662012
Read-once functions and query evaluation in probabilistic databases
P Sen, A Deshpande, L Getoor
Proceedings of the VLDB Endowment 3 (1-2), 1068-1079, 2010
642010
Neuro-symbolic inductive logic programming with logical neural networks
P Sen, BWSR de Carvalho, R Riegel, A Gray
Proceedings of the AAAI conference on artificial intelligence 36 (8), 8212-8219, 2022
632022
Community detection in content-sharing social networks
N Natarajan, P Sen, V Chaoji
Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013
592013
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning.
T Elgamal, S Luo, M Boehm, AV Evfimievski, S Tatikonda, B Reinwald, ...
CIDR 2 (6), 25, 2017
562017
A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics.
Y Yang, E Kandogan, Y Li, P Sen, WS Lasecki
IUI Workshops, 2019
492019
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
M Boehm, DR Burdick, AV Evfimievski, B Reinwald, FR Reiss, P Sen, ...
IEEE Data Eng. Bull. 37 (3), 52-62, 2014
492014
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Artículos 1–20