BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Taiwan
2 × USA
Collaborated with:
K.Goldberg M.J.Franklin J.Wang L.Sun R.S.Xin M.Laskey T.Kraska R.Fox J.Patel D.Haas E.Wu Carolyn Chen Jessica J. Ji Vatsal Patel Danyal Fer T.Milo Caleb Chuck Ruta Joshi Zisu Dong Sona Dolasia Ashwin Balakrishna Michael Danielczuk M.Zhou A.Cliff B.Nonnecke C.Crittenden K.Uchino J.Mahler S.Sen A.Murali B.Kehoe S.Patil M.Franklin P.Abbeel K.Y.Goldberg
Talks about:
data (6) clean (5) learn (4) demonstr (3) framework (2) process (2) aggress (2) surgic (2) partit (2) stale (2)

Person: Sanjay Krishnan

DBLP DBLP: Krishnan:Sanjay

Contributed to:

SIGITE 20152015
VLDB 20152015
CASE 20142014
RecSys 20142014
SIGMOD 20142014
VLDB 20142014
CASE 20172017
CASE 20182018
CASE 20192019

Wrote 12 papers:

SIGITE-2015-ZhouCKNCUG #collaboration #feedback #scalability #student #using
M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering (MZ, AC, SK, BN, CC, KU, KG), pp. 153–158.
VLDB-2015-HaasKWF0 #framework #named #scalability
Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views (SK, JW, MJF, KG, TK), pp. 1370–1381.
CASE-2014-MahlerKLSMKPWFAG #learning #process #using
Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (JM, SK, ML, SS, AM, BK, SP, JW, MF, PA, KYG), pp. 532–539.
RecSys-2014-KrishnanPFG #bias #learning #recommendation #social
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems (SK, JP, MJF, KG), pp. 137–144.
SIGMOD-2014-SunFKX #clustering #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
SIGMOD-2014-WangKFGKM #framework #performance #query
A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
VLDB-2014-SunKXF #clustering #framework
A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
CASE-2017-ChenKLFG #algorithm #case study #education #user study
An algorithm and user study for teaching bilateral manipulation via iterated best response demonstrations (CC, SK, ML, RF, KG), pp. 151–158.
CASE-2017-ChuckLKJFG #automation #learning #statistics
Statistical data cleaning for deep learning of automation tasks from demonstrations (CC, ML, SK, RJ, RF, KG), pp. 1142–1149.
CASE-2018-JiKPFG #2d #learning
Learning 2D Surgical Camera Motion From Demonstrations (JJJ, SK, VP, DF, KG), pp. 35–42.
CASE-2019-DongKDBDG #automation #linear #multi
Automating Planar Object Singulation by Linear Pushing with Single-point and Multi-point Contacts (ZD, SK, SD, AB, MD, KG), pp. 1429–1436.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.