About
Discord Stateoftheart AI
GitHub

Publications

205

Cited by

7643

Irina Rish

artificial intelligencemachine learningneurosciencequantum computing
IBM

United States

Papers and Citations

1 - 50
An empirical study of the naive Bayes classifier
2001
Irina Rish
Cited by 2913
Learning representations from EEG with deep recurrent-convolutional neural networks
2015
Noel Codella
Pouya Bashivan
Irina Rish
+1
Cited by 406
User authentication
2015
Irina Rish
Dimitri Kanevsky
EE Kelley
+1
Cited by 345
Critical event prediction for proactive management in large-scale computer clusters
2003
Manish Gupta
Ricardo Vilalta
Ramendra K. Sahoo
+5
Cited by 315
Mini-buckets: A general scheme for bounded inference
2003
Rina Dechter
Irina Rish
Cited by 261
Adaptive diagnosis in distributed systems
2005
Genady Ya. Grabarnik
Irina Rish
Karina Hernandez
+4
Cited by 218
Directional resolution: The davis-putnam procedure, revisited
1994
Irina Rish
Rina Dechter
Cited by 215
Improving network robustness by edge modification
2005
A Beygelzimer
G Grinstein
Ralph Linsker
+1
Cited by 197
Prediction and interpretation of distributed neural activity with sparse models
2009
Rahul Garg
Irina Rish
Guillermo Cecchi
+2
Cited by 193
Learning to learn without forgetting by maximizing transfer and minimizing interference
2018
Yuhai Tu
Robert Ajemian
Ignacio Cases
+6
Cited by 166
Resolution versus search: Two strategies for SAT
2000
Irina Rish
Rina Dechter
Cited by 156
Sparse modeling: theory, algorithms, and applications
2014
Irina Rish
Genady Ya. Grabarnik
Cited by 151
An analysis of data characteristics that affect naive Bayes performance
2001
Irina Rish
Joseph Hellerstein
J Thathachar
Cited by 132
Real-time problem determination in distributed systems using active probing
2004
S Ma
M Brodie
N Odintsova
+2
Cited by 130
Optimizing probe selection for fault localization
2001
M Brodie
S Ma
Irina Rish
Cited by 103
Intelligent probing: A cost-effective approach to fault diagnosis in computer networks
2002
M Brodie
S Ma
Irina Rish
Cited by 103
A scheme for approximating probabilistic inference
1997
Rina Dechter
Irina Rish
Cited by 85
Summarizing CSP hardness with continuous probability distributions
1997
Irina Rish
L Vila
D Frost
Cited by 81
Efficient test selection in active diagnosis via entropy approximation
2012
Irina Rish
A Beygelzimer
AX Zheng
Cited by 78
Closed-form supervised dimensionality reduction with generalized linear models
2008
Francisco Pereira
Irina Rish
Genady Ya. Grabarnik
+2
Cited by 73
A decomposition of classes via clustering to explain and improve naive bayes
2003
Ricardo Vilalta
Irina Rish
Cited by 65
Recognizing end-user transactions in performance management
2000
Irina Rish
Joseph Hellerstein
T.S. Jayram
Cited by 58
Context attentive bandits: Contextual bandit with restricted context
2017
Djallel Bouneffouf
Raphaël Féraud
Irina Rish
+1
Cited by 55
Language translation in an environment associated with a virtual application
2014
Clifford A. Pickover
Dimitri Kanevsky
Irina Rish
+1
Cited by 54
Learning sparse Gaussian Markov networks using a greedy coordinate ascent approach
2010
Irina Rish
Katya Scheinberg
Cited by 53
Accuracy vs. efficiency trade-offs in probabilistic diagnosis
2002
Irina Rish
M Brodie
S Ma
Cited by 50
Active probing strategies for problem diagnosis in distributed systems
2003
N Odintsova
M Brodie
A Beygelzimer
+2
Cited by 48
A survey on practical applications of multi-armed and contextual bandits
2019
Irina Rish
Djallel Bouneffouf
Cited by 48
Predictive dynamics of human pain perception
2012
María V Centeno
A Vania Apkarian
Lejian Huang
+4
Cited by 46
Sequential Testing for Sparse Recovery
2014
GA Cecchi
Aurelie Lozano
Alexandru Niculescu-Mizil
+1
Cited by 44
Discriminative network models of schizophrenia
2009
Benjamin Thyreau
Jean-luc Martinot
Guillermo A Cecchi
+6
Cited by 44
Mental state recognition via wearable EEG
2016
S Heisig
Pouya Bashivan
Irina Rish
Cited by 40
SINCO-a greedy coordinate ascent method for sparse inverse covariance selection problem
2009
Irina Rish
Katya Scheinberg
Cited by 40
Schizophrenia as a network disease: disruption of emergent brain function in patients with auditory hallucinations
2013
Marie Laure Paillere-Martinot
Catherine Martelli
Jean-Luc Martinot
+6
Cited by 35
Sparse signal recovery with exponential-family noise
2014
Genady Ya. Grabarnik
Irina Rish
Cited by 34
Automated dynamic vehicle blind spot determination
2013
O Emam
Irina Rish
Dimitri Kanevsky
Cited by 33
Using sensitivity analysis for selective parameter update in Bayesian network learning
2002
H Wang
S Ma
Irina Rish
Cited by 31
Contextual Bandit with Adaptive Feature Extraction
2018
Djallel Bouneffouf
Guillermo Cecchi
Baihan Lin
+1
Cited by 30
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
2017
Rajamannar Ramasubbu
Matthew RG Brown
Pablo I Polosecki
+7
Cited by 26
Bandit models of human behavior: Reward processing in mental disorders
2017
Djallel Bouneffouf
Guillermo Cecchi
Irina Rish
Cited by 26
Empirical evaluation of approximation algorithms for probabilistic decoding
2013
Kalev Kask
Rina Dechter
Irina Rish
Cited by 25
Active probing
2002
N Odintsova
M Brodie
S Ma
+2
Cited by 23
Improving network robustness
2004
A Beygelmizer
G Grinstein
Irina Rish
+1
Cited by 23
Active probing for real-time diagnosis
2008
S Ma
NV Odintsova
MA Brodie
+2
Cited by 22
Multi-fault diagnosis in dynamic systems
2005
N Odintsova
S Ma
Irina Rish
Cited by 22
Photograph authorization system
2017
SH Basson
EE Kelley
Dimitri Kanevsky
+1
Cited by 22
Active sampling collaborative prediction method for end-to-end performance prediction
2009
Gerald Tesauro
Irina Rish
Cited by 22
User authentication method and system
2013
EE Kelley
SH Basson
D Kanevsky
+1
Cited by 22
Beyond backprop: Online alternating minimization with auxiliary variables
2019
Sadhana Kumaravel
Brian Kingsbury
Mattia Rigotti
+8
Cited by 22
Adaptive system for real-time behavioral coaching and command intermediation
2017
SH Basson
Irina Rish
Genady Ya. Grabarnik
+1
Cited by 21