Kishan G. Mehrotra

Affiliations:
  • Syracuse University, USA


According to our database1, Kishan G. Mehrotra authored at least 77 papers between 1977 and 2020.

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Bibliography

2020
Improving Geocoding of a Twitter User Group using their Account Creation Times and Languages.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Augmenting Google Search in Ranking Twitter Users.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Improving Geocoding for City-Level Locations.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Automated Location-Aware Influencer Evaluation.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

2018
Game Theory and Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Game-Theoretic Framework for Community Detection.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Algorithms for fast estimation of social network centrality measures.
Int. J. Big Data Intell., 2018

Online Anomaly Detection Using Random Forest.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Multi-objective Optimization to Improve Robustness in Networks.
Proceedings of the Multi-Objective Optimization - Evolutionary to Hybrid Framework, 2018

2017
Evolution of Space-Partitioning Forest for Anomaly Detection.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Anomaly Detection Principles and Algorithms
Springer, ISBN: 978-3-319-67524-4, 2017

2016
Finding Rising Stars in Heterogeneous Social Networks.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Link Prediction in Social Networks with Edge Aging.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Adaptive Sampling and Learning for Unsupervised Outlier Detection.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Improving the robustness of the smart grid using a multi-objective key player identification approach.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Multi-objective optimization to identify key players in large social networks.
Soc. Netw. Anal. Min., 2015

Ensemble Algorithms for Unsupervised Anomaly Detection.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Efficient Classification of Binary Data Stream with Concept Drifting Using Conjunction Rule Based Boolean Classifier.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

2014
Rule networks in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Ancestral networks in evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Controversial Topic Discovery on Members of Congress with Twitter.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Neural networks for prediction of stream flow based on snow accumulation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

A fast sorting algorithm for aptamer identification using deep sequencing.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Multi-objective optimization to identify key players in social networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
An Online Anomalous Time Series Detection Algorithm for Univariate Data Streams.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

Utilizing cis-elements to refine gene regulatory networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Multi-objective restructuring in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Distributed in-network path planning for sensor network navigation in dynamic hazardous environments.
Wirel. Commun. Mob. Comput., 2012

A Network Theoretic Analysis of Evolutionary Algorithms.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Algorithms for Detecting Outliers via Clustering and Ranks.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

A Game Theoretic Framework for Community Detection.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Reference Set Metrics for Multi-Objective Algorithms.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Inferring Border Crossing Intentions with Hidden Markov Models.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
Feature Selection and Occupancy Classification Using Seismic Sensors.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2009
Strategies for Sensor Selection in Monitoring Toxic Chemical Diffusion Scenarios.
Proceedings of the ISCA First International Conference on Sensor Networks and Applications (SNA-2009), 2009

A New Community Detection Algorithm Based on Makov-Chains and a Team Formation Model.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
A motif extraction algorithm based on hashing and modulo-4 arithmetic.
Int. J. Comput. Biol. Drug Des., 2008

A Force-Directed Layout for Community Detection with Automatic Clusterization.
Proceedings of the Simulating Interacting Agents and Social Phenomena, 2008

In-network path planning for distributed sensor network navigation in dynamic environments.
Proceedings of the IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, 2008

A Cluster-Based Classification Approach to Semantic Role Labeling.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2007
Temporal uncertainty reasoning networks for evidence fusion with applications to object detection and tracking.
Inf. Fusion, 2007

HAMMER Algorithm: Hashing with Arithmetic Modulo-4 for Motif Extraction of Regulatory Elements.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Bandwidth-Efficient Target Tracking In Distributed Sensor Networks Using Particle Filters.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Bandwidth management in distributed sequential detection.
IEEE Trans. Inf. Theory, 2005

An Evolutionary Multi-Objective Crowding Algorithm (EMOCA): Benchmark Test Function Results.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Multi-objective mobile agent routing in wireless sensor networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003
Parallel biological sequence comparison using prefix computations.
J. Parallel Distributed Comput., 2003

2002
A Tool for Belief Updating over Time in Bayesian Networks.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

2000
Adaptive Linkage Crossover.
Evol. Comput., 2000

1998
Decoding Linear Block Codes Using a Priority-First Search : Performance Analysis and Suboptimal Version.
IEEE Trans. Inf. Theory, 1998

1997
Algorithms for Multimedia Object Allocation onto Heterogeneous Storage Systems.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1997

1996
Characterization of a Class of Sigmoid Functions with Applications to Neural Networks.
Neural Networks, 1996

A Probabilistic Database Approach to the Analysis of Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1996

Selection, Majorization and Replicators.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Replicators, Majorization and Genetic Algorithms: New Models and Analytical tools.
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1995
Efficient classification for multiclass problems using modular neural networks.
IEEE Trans. Neural Networks, 1995

Optimization Using Replicators.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

1994
Response to letter by Q. Hu and D. B. Hertz.
Neural Networks, 1994

Genetic Algorithms for Soft-Decision Decoding of Linear Block Codes.
Evol. Comput., 1994

Performance modeling of load-balancing algorithms using neural networks.
Concurr. Pract. Exp., 1994

Knowledge-Based Nonuniform Crossover.
Complex Syst., 1994

Genetic algorithms for graph partitioning and incremental graph partitioning.
Proceedings of the Proceedings Supercomputing '94, 1994

Training Techniques to Obtain Fault-Tolerant Neural Networks.
Proceedings of the Digest of Papers: FTCS/24, 1994

1993
An improved algorithm for neural network classification of imbalanced training sets.
IEEE Trans. Neural Networks, 1993

Analyzing images containing multiple sparse patterns with neural networks.
Pattern Recognit., 1993

A Probabilistic Analysis of a Locality Maintaining Load Balancing Algorithm.
Proceedings of the Seventh International Parallel Processing Symposium, 1993

Robustness of feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Forecasting the behavior of multivariate time series using neural networks.
Neural Networks, 1992

1991
Bounds on the number of samples needed for neural learning.
IEEE Trans. Neural Networks, 1991

Generalization of the Norse bounds to codes of higher strength.
IEEE Trans. Inf. Theory, 1991

A decentralized task scheduling algorithm and its performance modeling for computer networks.
Proceedings of the Third IEEE Symposium on Parallel and Distributed Processing, 1991

Performance prediction of distributed load balancing on multicomputer systems.
Proceedings of the Proceedings Supercomputing '91, 1991

Comparison of Random Test Vector Generation Strategies.
Proceedings of the 1991 IEEE/ACM International Conference on Computer-Aided Design, 1991

1990
A neural network approach to prediction of psychological performance in frequency discrimination.
Proceedings of the IJCNN 1990, 1990

1984
Performance comparison of autoregressive estimation methods.
Proceedings of the IEEE International Conference on Acoustics, 1984

1982
Application of information theory to the construction of efficient decision trees.
IEEE Trans. Inf. Theory, 1982

1977
Asymptotic performance of optimum bit-by-bit decoding for the white Gaussian channel (Corresp.).
IEEE Trans. Inf. Theory, 1977


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