Chilukuri K. Mohan

According to our database1, Chilukuri K. Mohan
  • authored at least 84 papers between 1985 and 2016.
  • has a "Dijkstra number"2 of four.

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Bibliography

2016
Enhanced Dynamic Spectrum Access in Multiband Cognitive Radio Networks via Optimized Resource Allocation.
IEEE Trans. Wireless Communications, 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.
Social Netw. Analys. Mining, 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

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

On optimization algorithms for the design of multiband cognitive radio networks.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

A cross layer routing protocol for cognitive radio networks using channel activity tracking.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 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
A Multiobjective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

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

Information theoretic fitness measures for learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 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

Dynamic and Evolutionary Multi-objective Optimization for Sensor Selection in Sensor Networks for Target Tracking.
Proceedings of the IJCCI 2009, 2009

Biasing evolving generations in learning classifier systems using information theoretic measures.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
A motif extraction algorithm based on hashing and modulo-4 arithmetic.
I. J. Computational Biology and Drug Design, 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

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

Sensor placement for ballistic missile localization using evolutionary algorithms.
Proceedings of the IEEE International Conference on Systems, 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
Ensemble selection for evolutionary learning using information theory and price's theorem.
Proceedings of the Genetic and Evolutionary Computation Conference, 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. Information Theory, 2005

Introduction.
Appl. Intell., 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

Information theoretic indicators of fitness, relevant diversity & pairing potential in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Particle swarm optimization with adaptive linkage learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Fitness-distance-ratio based particle swarm optimization.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

Optimization Using Particle Swarms with Near Neighbor Interactions.
Proceedings of the Genetic and Evolutionary Computation, 2003

Parallel hierarchical adaptive genetic algorithm for fragment assembly.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
Multi-phase Discrete Particle Swarm Optimization.
Proceedings of the 6th Joint Conference on Information Science, 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

2001
Flight graph based genetic algorithm for crew scheduling in airlines.
Inf. Sci., 2001

2000
Adaptive Linkage Crossover.
Evolutionary Computation, 2000

Solving Problems with Overlapping Building Blocks.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
GraGA: A Graph Based Genetic Algorithm for Airline Crew Scheduling.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1998
Efficient Heuristic Search Algorithms for Soft-Decision Decoding of Linear Block Codes.
IEEE Trans. Information Theory, 1998

Adaptive linkage crossover.
Proceedings of the 1998 ACM symposium on Applied Computing, 1998

Selective crossover: towards fitter offspring.
Proceedings of the 1998 ACM symposium on Applied Computing, 1998

Steady State Memetic Algorithm for Partial Shape Matching.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
Partial shape matching using genetic algorithms.
Pattern Recognition Letters, 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

Shape Recognition Using Genetic Algorithm.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 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
A Space-and-Time-Efficient Codeing Algorithm for Lattice Computations.
IEEE Trans. Knowl. Data Eng., 1994

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

Genetic Algorithms for Soft-Decision Decoding of Linear Block Codes.
Evolutionary Computation, 1994

Performance modeling of load-balancing algorithms using neural networks.
Concurrency - Practice and Experience, 1994

Knowledge-Based Nonuniform Crossover.
Complex Systems, 1994

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

Knowledge Based Nonuniform Crossover.
Proceedings of the First IEEE Conference on Evolutionary Computation, 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 Recognition, 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

Fitting Semantics for Conditional Term Rewriting.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Analyzing Images Containing Multiple Sparse Patterns with Neural Networks.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Inference Rules and Proof Procedures for Inequations.
J. Log. Program., 1990

Equivalences of Rewrite Programs.
Proceedings of the Conditional and Typed Rewriting Systems, 1990

1989
Negation with Logical Variables in Conditional Rewriting.
Proceedings of the Rewriting Techniques and Applications, 3rd International Conference, 1989

Priority Rewriting: Semantics, Confluence, and Conditional.
Proceedings of the Rewriting Techniques and Applications, 3rd International Conference, 1989

1987
Reasoning in Systems of Equations and Inequations.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1987

Conditional Specification with Inequational Assumptions.
Proceedings of the Conditional Term Rewriting Systems, 1987

1986
Function Definitions in Term Rewriting and Applicative Programming
Information and Control, December, 1986

1985
Local Reconfiguration of Management Trees in Large Networks.
Proceedings of the 5th International Conference on Distributed Computing Systems, 1985


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