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ORCIDHillol Kargupta
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- affiliation: University of Maryland, USA
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2010 – 2019
- 2019
[c62]Hillol Kargupta, Priyanka Kargupta:
Analyzing Driving Data using the ADAPT Distributed Analytics Platform for Connected Vehicles. DSAA 2019: 590-599- 2013
- [j40]Chris Giannella, Kun Liu, Hillol Kargupta:
Breaching Euclidean distance-preserving data perturbation using few known inputs. Data Knowl. Eng. 83: 93-110 (2013) - [j39]Joel W. Branch, Chris Giannella, Boleslaw K. Szymanski
, Ran Wolff, Hillol Kargupta:
In-network outlier detection in wireless sensor networks. Knowl. Inf. Syst. 34(1): 23-54 (2013) - 2012
- [j38]Katharina Morik, Kanishka Bhaduri, Hillol Kargupta:
Introduction to data mining for sustainability. Data Min. Knowl. Discov. 24(2): 311-324 (2012) - [j37]Xianshu Zhu, Tushar Mahule, Haimonti Dutta, Sugandha Arora, Hillol Kargupta, Kirk D. Borne:
Peer-to-peer distributed text classifier learning in PADMINI. Stat. Anal. Data Min. 5(5): 446-462 (2012) - [c61]Hillol Kargupta:
Connected Cars: How Distributed Data Mining Is Changing the Next Generation of Vehicle Telematics Products. S-CUBE 2012: 73-74 - [p6]Hillol Kargupta:
Making Data Analysis Ubiquitous: My Journey Through Academia and Industry. Journeys to Data Mining 2012: 111-130 - 2011
- [j36]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks. Peer-to-Peer Netw. Appl. 4(2): 192-209 (2011) - [j35]Kanishka Bhaduri, Kamalika Das, Kirk D. Borne, Chris Giannella, Tushar Mahule, Hillol Kargupta:
Scalable, asynchronous, distributed eigen monitoring of astronomy data streams. Stat. Anal. Data Min. 4(3): 336-352 (2011) - [c60]Rajarshi Mallik, Hillol Kargupta:
A Sustainable Approach for Demand Prediction in Smart Grids using a Distributed Local Asynchronous Algorithm. CIDU 2011: 1-15 - 2010
- [j34]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks. Knowl. Inf. Syst. 24(3): 341-367 (2010) - [c59]Tushar Mahule, Kirk D. Borne, Sandipan Dey, Sugandha Arora, Hillol Kargupta:
PADMINI: A Peer-to-Peer Distributed Astronomy Data Mining System and a Case Study. CIDU 2010: 243-257 - [c58]Hillol Kargupta, Kakali Sarkar, Michael Gilligan:
MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system. KDD 2010: 37-46 - [c57]Hillol Kargupta, João Gama, Wei Fan:
The next generation of transportation systems, greenhouse emissions, and data mining. KDD 2010: 1209-1212 - [p5]Hillol Kargupta, Michael Gilligan, Vasundhara Puttagunta, Kakali Sarkar, Martin Klein, Nick Lenzi, Derek Johnson:
MineFleet®: The Vehicle Data Stream Mining System for Ubiquitous Environments. Ubiquitous Knowledge Discovery 2010: 235-254
2000 – 2009
- 2009
- [j33]Souptik Datta, Hillol Kargupta:
A communication efficient probabilistic algorithm for mining frequent itemsets from a peer-to-peer network. Stat. Anal. Data Min. 2(1): 48-69 (2009) - [j32]Ran Wolff, Kanishka Bhaduri, Hillol Kargupta:
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems. IEEE Trans. Knowl. Data Eng. 21(4): 465-478 (2009) - [j31]Souptik Datta, Chris Giannella, Hillol Kargupta:
Approximate Distributed K-Means Clustering over a Peer-to-Peer Network. IEEE Trans. Knowl. Data Eng. 21(10): 1372-1388 (2009) - [c56]Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol Kargupta, Kirk D. Borne, Codrina Lauth, Florian Holz, Gerhard Heyer:
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents. ICDM Workshops 2009: 495-500 - [c55]Tim Finin, Anupam Joshi, Hillol Kargupta, Yelena Yesha, Joel Sachs, Elisa Bertino, Ninghui Li, Chris Clifton, Gene Spafford, Bhavani Thuraisingham, Murat Kantarcioglu, Alain Bensoussan, Nathan Berg, Latifur Khan, Jiawei Han, ChengXiang Zhai, Ravi S. Sandhu, Shouhuai Xu, Jim Massaro, Lada A. Adamic:
Assured Information Sharing Life Cycle. ISI 2009: 307-309 - [c54]Kamalika Das, Kanishka Bhaduri, Hillol Kargupta:
A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. Peer-to-Peer Computing 2009: 212-221 - [c53]Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta:
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms. SDM 2009: 247-258 - [e4]Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu:
ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3895-2 [contents] - [e3]Yücel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu:
ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3902-7 [contents] - [i2]Joel W. Branch, Chris Giannella, Boleslaw K. Szymanski, Ran Wolff, Hillol Kargupta:
In-Network Outlier Detection in Wireless Sensor Networks. CoRR abs/0909.0685 (2009) - [i1]Chris Giannella, Kun Liu, Hillol Kargupta:
On the Privacy of Euclidean Distance Preserving Data Perturbation. CoRR abs/0911.2942 (2009) - 2008
- [j30]Sourav Mukherjee, Hillol Kargupta:
Distributed probabilistic inferencing in sensor networks using variational approximation. J. Parallel Distributed Comput. 68(1): 78-92 (2008) - [j29]Kanishka Bhaduri, Ran Wolff, Chris Giannella, Hillol Kargupta:
Distributed Decision-Tree Induction in Peer-to-Peer Systems. Stat. Anal. Data Min. 1(2): 85-103 (2008) - [j28]Kanishka Bhaduri, Hillol Kargupta:
A Scalable Local Algorithm for Distributed Multivariate Regression. Stat. Anal. Data Min. 1(3): 177-194 (2008) - [j27]Kamalika Das, Kanishka Bhaduri, Kun Liu, Hillol Kargupta:
Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network. IEEE Trans. Knowl. Data Eng. 20(4): 475-488 (2008) - [j26]Daniel Dajun Zeng, Hsinchun Chen, Fei-Yue Wang, Hillol Kargupta:
Guest Editors' Introduction: Special Section on Intelligence and Security Informatics. IEEE Trans. Knowl. Data Eng. 20(8): 1009-1012 (2008) - [c52]Domenico Talia, Josep Lluís Larriba-Pey, Hillol Kargupta, Esther Pacitti:
Topic 5: Parallel and Distributed Databases. Euro-Par 2008: 392-393 - [c51]Haimonti Dutta, Hillol Kargupta:
Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments. ICDM Workshops 2008: 543-552 - [c50]Kanishka Bhaduri, Hillol Kargupta:
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks. SDM 2008: 153-164 - [p4]Kun Liu, Kamalika Das, Tyrone Grandison, Hillol Kargupta:
Privacy-Preserving Data Analysis on Graphs and Social Networks. Next Generation of Data Mining 2008 - [p3]Hillol Kargupta:
Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining. Next Generation of Data Mining 2008 - [p2]Kun Liu, Chris Giannella, Hillol Kargupta:
A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods. Privacy-Preserving Data Mining 2008: 359-381 - [e2]Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar:
Next Generation of Data Mining. Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press / Chapman and Hall / Taylor & Francis 2008, ISBN 978-1-4200-8586-0 [contents] - 2007
- [c49]Kanishka Bhaduri, Kamalika Das, Hillol Kargupta:
Peer-to-Peer Data Mining, Privacy Issues, and Games. AIS-ADM 2007: 1-10 - [c48]Souptik Datta, Hillol Kargupta:
Uniform Data Sampling from a Peer-to-Peer Network. ICDCS 2007: 50 - [c47]Hillol Kargupta, Kamalika Das, Kun Liu:
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework. PKDD 2007: 523-531 - [c46]Haimonti Dutta, Chris Giannella, Kirk D. Borne, Hillol Kargupta:
Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System. SDM 2007: 473-478 - [p1]Kanishka Bhaduri, Kamalika Das, Krishnamoorthy Sivakumar, Hillol Kargupta, Ran Wolff, Rong Chen:
Algorithms for Distributed Data Stream Mining. Data Streams - Models and Algorithms 2007: 309-331 - 2006
- [j25]Souptik Datta, Kanishka Bhaduri, Chris Giannella, Ran Wolff, Hillol Kargupta:
Distributed Data Mining in Peer-to-Peer Networks. IEEE Internet Comput. 10(4): 18-26 (2006) - [j24]Sanghamitra Bandyopadhyay, Chris Giannella, Ujjwal Maulik, Hillol Kargupta, Kun Liu, Souptik Datta:
Clustering distributed data streams in peer-to-peer environments. Inf. Sci. 176(14): 1952-1985 (2006) - [j23]Hillol Kargupta, Vasundhara Puttagunta, Martin Klein, Kakali Sarkar:
On-board Vehicle Data Stream Monitoring Using MineFleet and Fast Resource Constrained Monitoring of Correlation Matrices. New Gener. Comput. 25(1): 5-32 (2006) - [j22]Kun Liu, Kanishka Bhaduri, Kamalika Das, Phuong Nguyen, Hillol Kargupta:
Client-side web mining for community formation in peer-to-peer environments. SIGKDD Explor. 8(2): 11-20 (2006) - [j21]Kun Liu, Hillol Kargupta, Jessica Ryan:
Random Projection-Based Multiplicative Data Perturbation for Privacy Preserving Distributed Data Mining. IEEE Trans. Knowl. Data Eng. 18(1): 92-106 (2006) - [j20]Hillol Kargupta, Byung-Hoon Park, Haimonti Dutta:
Orthogonal Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1028-1042 (2006) - [c45]Joel W. Branch, Boleslaw K. Szymanski, Chris Giannella, Ran Wolff, Hillol Kargupta:
In-Network Outlier Detection in Wireless Sensor Networks. ICDCS 2006: 51 - [c44]Kun Liu, Chris Giannella, Hillol Kargupta:
An Attacker's View of Distance Preserving Maps for Privacy Preserving Data Mining. PKDD 2006: 297-308 - [c43]Souptik Datta, Chris Giannella, Hillol Kargupta:
K-Means Clustering Over a Large, Dynamic Network. SDM 2006: 153-164 - [c42]Ran Wolff, Kanishka Bhaduri, Hillol Kargupta:
Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems. SDM 2006: 430-441 - 2005
- [j19]Josenildo Costa da Silva, Chris Giannella, Ruchita Bhargava, Hillol Kargupta, Matthias Klusch:
Distributed data mining and agents. Eng. Appl. Artif. Intell. 18(7): 791-807 (2005) - [j18]Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamoorthy Sivakumar:
Random-data perturbation techniques and privacy-preserving data mining. Knowl. Inf. Syst. 7(4): 387-414 (2005) - [c41]Hillol Kargupta, Kakali Sarkar, Dipti Aswath, William D. Handy:
A collaborative distributed privacy-sensitive decision support system for monitoring heterogeneous data sources. CTS 2005: 380-387 - [c40]Domenico Talia, Hillol Kargupta, Patrick Valduriez, Rui Camacho:
Topic 5 - Parallel and Distributed Databases, Data Mining and Knowledge Discovery. Euro-Par 2005: 347 - [c39]Haimonti Dutta, Hillol Kargupta, Anupam Joshi:
Orthogonal Decision Trees for Resource-Constrained Physiological Data Stream Monitoring Using Mobile Devices. HiPC 2005: 118-127 - [e1]Hillol Kargupta, Jaideep Srivastava, Chandrika Kamath, Arnold Goodman:
Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005, Newport Beach, CA, USA, April 21-23, 2005. SIAM 2005, ISBN 978-0-89871-593-4 [contents] - 2004
- [j17]Rong Chen, Krishnamoorthy Sivakumar, Hillol Kargupta:
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data. Knowl. Inf. Syst. 6(2): 164-187 (2004) - [j16]Hillol Kargupta, Byung-Hoon Park:
A Fourier Spectrum-Based Approach to Represent Decision Trees for Mining Data Streams in Mobile Environments. IEEE Trans. Knowl. Data Eng. 16(2): 216-229 (2004) - [j15]Hillol Kargupta, Rajeev Ayyagari, Samiran Ghosh:
Learning Functions Using Randomized Genetic Code-Like Transformations: Probabilistic Properties and Experimentations. IEEE Trans. Knowl. Data Eng. 16(8): 894-908 (2004) - [c38]Chris Giannella, Ruchita Bhargava, Hillol Kargupta:
Multi-agent Systems and Distributed Data Mining. CIA 2004: 1-15 - [c37]Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta:
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data. ICDM 2004: 67-74 - [c36]Hillol Kargupta, Haimonti Dutta:
Orthogonal Decision Trees. ICDM 2004: 427-430 - [c35]Da Meng, Krishnamoorthy Sivakumar, Hillol Kargupta:
Privacy-Sensitive Bayesian Network Parameter Learning. ICDM 2004: 487-490 - [c34]Hillol Kargupta, Ruchita Bhargava, Kun Liu, Michael Powers, Patrick Blair, Samuel Bushra, James Dull, Kakali Sarkar, Martin Klein, Mitesh Vasa, David Handy:
VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring. SDM 2004: 300-311 - 2003
- [j14]Sweta Pittie, Hillol Kargupta, Byung-Hoon Park:
Dependency detection in MobiMine: a systems perspective. Inf. Sci. 155(3-4): 227-243 (2003) - [c33]Hillol Kargupta, Kun Liu, Souptik Datta, Jessica Ryan, Krishnamoorthy Sivakumar:
Homeland security and privacy sensitive data mining from multi-party distributed resources. FUZZ-IEEE 2003: 1257-1260 - [c32]Hillol Kargupta, Souptik Datta, Qi Wang, Krishnamoorthy Sivakumar:
On the Privacy Preserving Properties of Random Data Perturbation Techniques. ICDM 2003: 99-106 - [c31]Vipul Hingne, Anupam Joshi, Timothy W. Finin, Hillol Kargupta, Elias N. Houstis:
Towards a Pervasive Grid. IPDPS 2003: 207 - [c30]Hillol Kargupta, Kun Liu, Jessica Ryan:
Privacy Sensitive Distributed Data Mining from Multi-party Data. ISI 2003: 336-342 - [c29]Haimonti Dutta, Hillol Kargupta, Souptik Datta, Krishnamoorthy Sivakumar:
Analysis of privacy preserving random perturbation techniques: further explorations. WPES 2003: 31-38 - 2002
- [j13]Byung-Hoon Park, Hillol Kargupta, Erik L. Johnson, Eleonora Riva Sanseverino, Daryl E. Hershberger, Maria Luisa Di Silvestre:
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique. Appl. Intell. 16(1): 19-42 (2002) - [j12]Hillol Kargupta:
Editorial: Computation in Gene Expression. Genet. Program. Evolvable Mach. 3(2): 111-112 (2002) - [j11]Hillol Kargupta, Samiran Ghosh:
Toward Machine Learning Through Genetic Code-like Transformations. Genet. Program. Evolvable Mach. 3(3): 231-258 (2002) - [j10]Hillol Kargupta, Philip Chan:
Book Reviews. Review of Advances in Distributed and Parallel Knowledge Discovery. Pattern Anal. Appl. 5(4): 399-401 (2002) - [j9]Hillol Kargupta, Byung-Hoon Park, Sweta Pittie, Lei Liu, Deepali Kushraj, Kakali Sarkar:
MobiMine: Monitoring the Stock Market from a PDA. SIGKDD Explor. 3(2): 37-46 (2002) - [c28]Rajeev Ayyagari, Hillol Kargupta:
A Resampling Technique for Learning the Fourier Spectrum of Skewed Data. DMKD 2002 - [c27]Hillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh:
A Random Matrix-Based Approach for Dependency Detection from Data Streams. DMKD 2002 - [c26]Byung-Hoon Park, Hillol Kargupta:
Constructing Simpler Decision Trees from Ensemble Models Using Fourier Analysis. DMKD 2002 - [c25]Hillol Kargupta, Krishnamoorthy Sivakumar, Samiran Ghosh:
Dependency Detection in MobiMine and Random Matrices. PKDD 2002: 250-262 - 2001
- [j8]Hillol Kargupta:
A Striking Property of Genetic Code-like Transformations. Complex Syst. 13(1) (2001) - [j7]Hillol Kargupta, Dirk Thierens:
Computation in Gene Expression. Complex Syst. 13(1) (2001) - [j6]Hillol Kargupta, Byung-Hoon Park:
Gene Expression and Fast Construction of Distributed Evolutionary Representation. Evol. Comput. 9(1): 43-69 (2001) - [j5]Daryl E. Hershberger, Hillol Kargupta:
Distributed Multivariate Regression Using Wavelet-Based Collective Data Mining. J. Parallel Distributed Comput. 61(3): 372-400 (2001) - [j4]Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, Erik L. Johnson:
Distributed Clustering Using Collective Principal Component Analysis. Knowl. Inf. Syst. 3(4): 422-448 (2001) - [c24]Rajeev Ayyagari, Byong-Hoon Park, Daryl E. Hershberger, Hillol Kargupta:
Toward ubiquitous mining of distributed data. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2001: 138-148 - [c23]Rong Chen, Krishnamoorthy Sivakumar, Hillol Kargupta:
Distributed Web Mining Using Bayesian Networks from Multiple Data Streams. ICDM 2001: 75-82 - [c22]Hillol Kargupta, Byung-Hoon Park:
Mining Decision Trees from Data Streams in a Mobile Environment. ICDM 2001: 281-288 - [c21]Hillol Kargupta, Anupam Joshi:
Data mining "to go": ubiquitous KDD for mobile and distributed environments. KDD Tutorials 2001 - [c20]Byung-Hoon Park, Rajeev Ayyagari, Hillol Kargupta:
A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment. SDM 2001: 1-22 - 2000
- [j3]Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic:
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. 2(2): 108-109 (2000) - [c19]Hillol Kargupta:
Computation in Genetic Code-Like Transformations. GECCO 2000: 937- - [c18]Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic:
Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000: 534 - [c17]Hillol Kargupta, Weiyun Huang, Krishnamoorthy Sivakumar, Byung-Hoon Park, Shuren Wang:
Collective Principal Component Analysis from Distributed, Heterogeneous Data. PKDD 2000: 452-457 - [c16]Hillol Kargupta:
The Genetic Code-Like Transformations and Their Effect on Learning Functions. PPSN 2000: 99-108
1990 – 1999
- 1999
- [c15]Erik L. Johnson, Hillol Kargupta:
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data. Large-Scale Parallel Data Mining 1999: 221-244 - 1998
- [c14]Hillol Kargupta, Sanghamitra Bandyopadhyay:
Further Experimentations on the Scalability of the GEMGA. PPSN 1998: 315-324 - 1997
- [j2]Hillol Kargupta:
SEARCH, Computational Processes in Evolution, and Preliminary Development of the Gene Expression Messy Genetic Algorithm. Complex Syst. 11(4) (1997) - [c13]Hillol Kargupta, Brian Stafford, Ilker Hamzaoglu:
Web Based Parallel/Distributed Medical Data Mining Using Software Agents. AMIA 1997 - [c12]Hillol Kargupta, Brian Stafford:
DNA To Protein: Transformations and Their Possible Role in Linkage Learning. ICGA 1997: 409-417 - [c11]Hillol Kargupta, Ilker Hamzaoglu, Brian Stafford:
Scalable, Distributed Data Mining - An Agent Architecture. KDD 1997: 211-214 - 1996
- [c10]Hillol Kargupta, Kevin Buescher:
The gene expression messy genetic algorithm for financial applications. CIFEr 1996: 155-161 - [c9]Hillol Kargupta, David E. Goldberg:
SEARCH, Blackbox Optimization, And Sample Complexity. FOGA 1996: 291-324 - [c8]Hillol Kargupta:
The Performance of the Gene Expression Messy Genetic Algorithm On Real Test Functions. International Conference on Evolutionary Computation 1996: 631-636 - [c7]Hillol Kargupta, David E. Goldberg:
Polynominal Complexity Blackbox Search: Lessons From the SEARCH Framework. International Conference on Evolutionary Computation 1996: 792-797 - [c6]Hillol Kargupta:
The Gene Expression Messy Genetic Algorithm. International Conference on Evolutionary Computation 1996: 814-819 - 1995
- [j1]Sylvian R. Ray, Hillol Kargupta:
A Temporal Sequence Processor Based on the Biological Reaction-diffusion Process. Complex Syst. 9(4) (1995) - [c5]Hillol Kargupta:
Signal-to-noise, Crosstalk, and Long Range Problem Difficulty in Genetic Algorithms. ICGA 1995: 193-200 - 1993
- [c4]David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik:
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA 1993: 56-64 - [c3]Hillol Kargupta:
Information Transmission in Genetic Algorithm and Shannon's Second Theorem. ICGA 1993: 640 - 1992
- [c2]Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg:
Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58 - 1991
- [c1]Hillol Kargupta, Robert E. Smith:
System Identification with Evolving Polynomial Networks. ICGA 1991: 370-376
Coauthor Index