Prithviraj Sen

发表

Collective context-aware topic models for entity disambiguation

Prithviraj Sen, Prithviraj Sen, 2012, WWW.

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases

Rajasekar Krishnamurthy, Abdul Quamar, Hao Wang, 2017, Proc. VLDB Endow..

Read-once functions and query evaluation in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2010, Proc. VLDB Endow..

Cost-sensitive learning with conditional Markov networks

Lise Getoor, Prithviraj Sen, 2006, ICML '06.

Web information extraction using Markov logic networks

Rajeev Rastogi, Prithviraj Sen, Sahely Bhadra, 2011, WWW.

A Survey of the State of Explainable AI for Natural Language Processing pdf

Kun Qian, Prithviraj Sen, Ranit Aharonov, 2020, AACL/IJCNLP.

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML

Shirish Tatikonda, Berthold Reinwald, Yuanyuan Tian, 2014, Proc. VLDB Endow..

Representing Large-Scale Uncertainty through Probabilistic Databases

Prithviraj Sen, P. Sen, 2010, COMAD.

Collective Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2017, Encyclopedia of Machine Learning and Data Mining.

On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML pdf

Berthold Reinwald, Alexandre V. Evfimievski, Matthias Boehm, 2018, Proc. VLDB Endow..

SystemER: A Human-in-the-loop System for Explainable Entity Resolution

Prithviraj Sen, Lucian Popa, Kun Qian, 2019, Proc. VLDB Endow..

Collective Classi!cation in Network Data

Lise Getoor, Tina Eliassi-Rad, Brian Gallagher, 2008 .

Entity and Relationship Labeling in Affiliation Networks

Lise Getoor, Prithviraj Sen, Bin Zhao, 2006 .

Collective Classification for Text Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2009 .

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

Prithviraj Sen, Mohamed Sarwat, Lucian Popa, 2020, SIGMOD Conference.

Representing and Querying Correlated Tuples in Probabilistic Databases

Prithviraj Sen, Amol Deshpande, A. Deshpande, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

Complex Adaptive System

John Case, Jean-Michel Renders, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning.

Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies

Berthold Reinwald, Dejing Dou, Prithviraj Sen, 2019, BCB.

Active Learning for Large-Scale Entity Resolution

Prithviraj Sen, Lucian Popa, Kun Qian, 2017, CIKM.

Collective Classification in Network Data

Lise Getoor, Tina Eliassi-Rad, Brian Gallagher, 2008, AI Mag..

Deep Learning with Apache SystemML pdf

Berthold Reinwald, Matthias Boehm, Prithviraj Sen, 2018, ArXiv.

A Study on Interaction in Human-in-the-Loop Machine Learning for Text Analytics

Eser Kandogan, Walter S. Lasecki, Prithviraj Sen, 2019, IUI Workshops.

Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification

Rajasekar Krishnamurthy, Matthias Boehm, Prithviraj Sen, 2020, EMNLP.

Collective Classification

Lise Getoor, Prithviraj Sen, Mustafa Bilgic, 2010, Encyclopedia of Machine Learning.

Bisimulation-based Approximate Lifted Inference pdf

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2009, UAI.

Web information extraction using markov logic networks

Rajeev Rastogi, Prithviraj Sen, Sahely Bhadra, 2011, KDD.

Exploiting shared correlations in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2008, Proc. VLDB Endow..

Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization

Berthold Reinwald, Dejing Dou, Prithviraj Sen, 2020, COLING.

Forecasting in multivariate irregularly sampled time series with missing values pdf

Berthold Reinwald, Prithviraj Sen, Shivam Srivastava, 2020, ArXiv.

Representing and Querying Uncertain Data

Prithviraj Sen, P. Sen, Prithviraj Sen, 2009 .

PrDB: managing and exploiting rich correlations in probabilistic databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2009, The VLDB Journal.

Certainty Equivalence Principle

Jean-Michel Renders, João Gama, Lise Getoor, 2010, Encyclopedia of Machine Learning and Data Mining.

Click-Through Rate (CTR)

Jean-Michel Renders, João Gama, Eamonn J. Keogh, 2010, Encyclopedia of Machine Learning and Data Mining.

Entity disambiguation with hierarchical topic models

Rajeev Rastogi, Prithviraj Sen, Saurabh Kataria, 2011, KDD.

Community detection in content-sharing social networks

Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Classification Tree

John Case, Sanjay Jain, Jean-Michel Renders, 2010, Encyclopedia of Machine Learning.

SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs

Shirish Tatikonda, Frederick Reiss, Berthold Reinwald, 2014, IEEE Data Eng. Bull..

Compiling machine learning algorithms with SystemML

Shirish Tatikonda, Berthold Reinwald, Yuanyuan Tian, 2013, SoCC.

SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning

Shirish Tatikonda, Berthold Reinwald, Alexandre V. Evfimievski, 2017, CIDR.

SystemML: Declarative Machine Learning on Spark

Shirish Tatikonda, Frederick Reiss, Berthold Reinwald, 2016, Proc. VLDB Endow..

Learning-Based Methods with Human-in-the-Loop for Entity Resolution

Prithviraj Sen, Kun Qian, Lucian Popa, 2019, CIKM.

A Rectangle Mining Method for Understanding the Semantics of Financial Tables

Alexandre V. Evfimievski, Prithviraj Sen, Laura Chiticariu, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Representing Tuple and Attribute Uncertainty in Probabilistic Databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Cost-sensitive learning with conditional Markov networks

Lise Getoor, Prithviraj Sen, L. Getoor, 2006, Data Mining and Knowledge Discovery.

Representing Tuple and Attribute Uncertainty in Probabilistic Databases

Lise Getoor, Prithviraj Sen, Amol Deshpande, 2007 .

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop pdf

Eser Kandogan, Walter S. Lasecki, Prithviraj Sen, 2019, ACL.

Logic Embeddings for Complex Query Answering pdf

Alexander G. Gray, Prithviraj Sen, Pavan Kapanipathi, 2021, ArXiv.

Neuro-Symbolic Approaches for Text-Based Policy Learning

Asim Munawar, Michiaki Tatsubori, Prithviraj Sen, 2021, EMNLP.

Deep Indexed Active Learning for Matching Heterogeneous Entity Representations

Sunita Sarawagi, Prithviraj Sen, Arjit Jain, 2021, Proc. VLDB Endow..

Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion pdf

Alexander G. Gray, Prithviraj Sen, Salim Roukos, 2021, ArXiv.

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Alexander G. Gray, Prithviraj Sen, Yunyao Li, 2021, ACL.

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks pdf

Alexander G. Gray, Prithviraj Sen, Ryan Riegel, 2021, AAAI.