Naresh Manwani

According to our database1, Naresh Manwani authored at least 26 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
The Curious Case of Convex Networks.
CoRR, 2020

Learning Multiclass Classifier Under Noisy Bandit Feedback.
CoRR, 2020

Online Algorithms for Multiclass Classification Using Partial Labels.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Robust Learning of Multi-Label Classifiers under Label Noise.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Online Active Learning of Reject Option Classifiers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robust Deep Ordinal Regression Under Label Noise.
CoRR, 2019

ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts.
CoRR, 2019

PLUME: Polyhedral Learning Using Mixture of Experts.
CoRR, 2019

PRIL: Perceptron Ranking Using Interval Labels.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Sparse Reject Option Classifier Using Successive Linear Programming.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mixture of Regression Experts in fMRI Encoding.
CoRR, 2018

Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels.
CoRR, 2018

Sparse and Robust Reject Option Classifier using Successive Linear Programming.
CoRR, 2018

PRIL: Perceptron Ranking Using Interval Labeled Data.
CoRR, 2018

fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
On the Robustness of Decision Tree Learning Under Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015
K-plane regression.
Inf. Sci., 2015

Making risk minimization tolerant to label noise.
Neurocomputing, 2015

Double Ramp Loss Based Reject Option Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2013
Noise Tolerance Under Risk Minimization.
IEEE Trans. Cybern., 2013

2012
Geometric Decision Tree.
IEEE Trans. Syst. Man Cybern. Part B, 2012

2011
Polyceptron: A Polyhedral Learning Algorithm
CoRR, 2011

2010
A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Learning Polyhedral Classifiers Using Logistic Function.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

2009
A Geometric Algorithm for Learning Oblique Decision Trees.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2007
Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007


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