Year |
Citation |
Score |
2019 |
Coletta LF, Ponti M, Hruschka ER, Acharya A, Ghosh J. Combining clustering and active learning for the detection and learning of new image classes Neurocomputing. 358: 150-165. DOI: 10.1016/J.Neucom.2019.04.070 |
0.382 |
|
2018 |
Teffer D, Srinivasan R, Ghosh J. AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks International Journal of Data Science and Analytics. 8: 257-267. DOI: 10.1007/S41060-018-0145-7 |
0.437 |
|
2017 |
Deodhar M, Ghosh J, Saar-Tsechansky M, Keshari V. Active Learning with Multiple Localized Regression Models Informs Journal On Computing. 29: 503-522. DOI: 10.1287/Ijoc.2016.0732 |
0.336 |
|
2016 |
Joshi S, Ghosh J, Reid M, Koyejo O. Rényi divergence minimization based co-regularized multiview clustering Machine Learning. 1-29. DOI: 10.1007/S10994-016-5543-2 |
0.443 |
|
2015 |
Covões TF, Hruschka ER, Ghosh J. Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evolutionary Computation. PMID 25950390 DOI: 10.1162/Evco_A_00152 |
0.314 |
|
2015 |
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. Using metaheuristics to optimize the combination of classifier and cluster ensembles Integrated Computer-Aided Engineering. 22: 229-242. DOI: 10.3233/Ica-150485 |
0.396 |
|
2015 |
Coletta LFS, Hruschka ER, Acharya A, Ghosh J. A differential evolution algorithm to optimise the combination of classifier and cluster ensembles International Journal of Bio-Inspired Computation. 7: 111-124. DOI: 10.1504/Ijbic.2015.069288 |
0.438 |
|
2014 |
Ho JC, Ghosh J, Steinhubl SR, Stewart WF, Denny JC, Malin BA, Sun J. Limestone: high-throughput candidate phenotype generation via tensor factorization. Journal of Biomedical Informatics. 52: 199-211. PMID 25038555 DOI: 10.1016/J.Jbi.2014.07.001 |
0.309 |
|
2014 |
Acharya A, Hruschka ER, Ghosh J, Acharyya S. An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning Acm Transactions On Knowledge Discovery From Data. 9. DOI: 10.1145/2601435 |
0.383 |
|
2014 |
Park Y, Ghosh J. Ensembles of α-trees for imbalanced classification problems Ieee Transactions On Knowledge and Data Engineering. 26: 131-143. DOI: 10.1109/Tkde.2012.255 |
0.314 |
|
2014 |
Koyejo O, Lee C, Ghosh J. A constrained matrix-variate Gaussian process for transposable data Machine Learning. 97: 103-127. DOI: 10.1007/S10994-014-5444-1 |
0.318 |
|
2013 |
Covões TF, Hruschka ER, Ghosh J. Competitive learning with pairwise constraints. Ieee Transactions On Neural Networks and Learning Systems. 24: 164-9. PMID 24808216 DOI: 10.1109/Tnnls.2012.2227064 |
0.371 |
|
2013 |
Park Y, Ghosh J. CUDIA Acm Transactions On Intelligent Systems and Technology. 4: 1-24. DOI: 10.1145/2508037.2508047 |
0.345 |
|
2013 |
Jun G, Ghosh J. Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes Ieee Transactions On Geoscience and Remote Sensing. 51: 273-282. DOI: 10.1109/Tgrs.2012.2198654 |
0.348 |
|
2012 |
Mahantshetty U, Krishnatry R, Kumar S, Engineer R, Maheshwari A, Kerkar R, Gupta S, Ghosh J, Deodhar K, Thakur M, Shrivastava SK. Consensus meeting and update on existing guidelines for management of cervical cancer with special emphasis on the practice in developing countries, including India: The expert panel at the 8(th) annual women's cancer initiative Tata Memorial Hospital Conference 2010-11. Indian Journal of Medical and Paediatric Oncology : Official Journal of Indian Society of Medical & Paediatric Oncology. 33: 216-20. PMID 23580822 DOI: 10.4103/0971-5851.107083 |
0.329 |
|
2012 |
Barada KK, Chattopadhyay PK, Ghosh J, Kumar S, Saxena YC. A linear helicon plasma device with controllable magnetic field gradient. The Review of Scientific Instruments. 83: 063501. PMID 22755621 DOI: 10.1063/1.4723816 |
0.322 |
|
2011 |
Jun G, Ghosh J. Spatially Adaptive Classification of Land Cover With Remote Sensing Data Ieee Transactions On Geoscience and Remote Sensing. 49: 2662-2673. DOI: 10.1109/Tgrs.2011.2105490 |
0.353 |
|
2011 |
Acharya A, Hruschka ER, Ghosh J, Acharyya S. C3E: A framework for combining ensembles of classifiers and clusterers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6713: 269-278. DOI: 10.1007/978-3-642-21557-5_29 |
0.349 |
|
2011 |
Ghosh J, Acharya A. Cluster ensembles Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 1: 305-315. DOI: 10.1002/Widm.32 |
0.456 |
|
2011 |
Jun G, Ghosh J. Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis Statistical Analysis and Data Mining. 4: 358-371. DOI: 10.1002/Sam.10119 |
0.348 |
|
2010 |
Gupta G, Liu A, Ghosh J. Automated hierarchical density shaving: a robust automated clustering and visualization framework for large biological data sets. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 7: 223-37. PMID 20431143 DOI: 10.1109/Tcbb.2008.32 |
0.72 |
|
2010 |
Deodhar M, Ghosh J. SCOAL Acm Transactions On Knowledge Discovery From Data. 4: 1-31. DOI: 10.1145/1839490.1839492 |
0.469 |
|
2008 |
Gupta G, Ghosh J. Bregman bubble clustering Acm Transactions On Knowledge Discovery From Data. 2: 1-49. DOI: 10.1145/1376815.1376817 |
0.649 |
|
2008 |
Rajan S, Ghosh J, Crawford MM. An active learning approach to hyperspectral data classification Ieee Transactions On Geoscience and Remote Sensing. 46: 1231-1242. DOI: 10.1109/Tgrs.2007.910220 |
0.54 |
|
2008 |
Punera K, Ghosh J. CONSENSUS-BASED ENSEMBLES OF SOFT CLUSTERINGS Applied Artificial Intelligence. 22: 780-810. DOI: 10.1080/08839510802170546 |
0.719 |
|
2007 |
Wu X, Kumar V, Ross Quinlan J, Ghosh J, Yang Q, Motoda H, McLachlan GJ, Ng A, Liu B, Yu PS, Zhou Z, Steinbach M, Hand DJ, Steinberg D. Top 10 algorithms in data mining Knowledge and Information Systems. 14: 1-37. DOI: 10.1007/S10115-007-0114-2 |
0.302 |
|
2006 |
Rajan S, Ghosh J, Crawford MM. Exploiting class hierarchies for knowledge transfer in hyperspectral data Ieee Transactions On Geoscience and Remote Sensing. 44: 3408-3417. DOI: 10.1109/Tgrs.2006.878442 |
0.557 |
|
2006 |
Chen Y, Crawford MM, Ghosh J. Improved nonlinear manifold learning for land cover classification via intelligent landmark selection International Geoscience and Remote Sensing Symposium (Igarss). 545-548. DOI: 10.1109/IGARSS.2006.144 |
0.319 |
|
2006 |
Banerjee A, Ghosh J. Scalable Clustering Algorithms with Balancing Constraints Data Mining and Knowledge Discovery. 13: 365-395. DOI: 10.1007/S10618-006-0040-Z |
0.471 |
|
2006 |
Ghosh J, Strehl A. Similarity-based text clustering: A comparative study Grouping Multidimensional Data: Recent Advances in Clustering. 73-97. DOI: 10.1007/3-540-28349-8_3 |
0.703 |
|
2005 |
Banerjee A, Krumpelman C, Ghosh J, Basu S, Mooney RJ. Model-based overlapping clustering Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 532-537. DOI: 10.1145/1081870.1081932 |
0.356 |
|
2005 |
Merugu S, Ghosh J. A distributed learning framework for heterogeneous data sources Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 208-217. DOI: 10.1145/1081870.1081896 |
0.659 |
|
2005 |
Ham J, Chen Y, Crawford MM, Ghosh J. Investigation of the random forest framework for classification of hyperspectral data Ieee Transactions On Geoscience and Remote Sensing. 43: 492-501. DOI: 10.1109/Tgrs.2004.842481 |
0.361 |
|
2005 |
Merugu S, Ghosh J. A privacy-sensitive approach to distributed clustering Pattern Recognition Letters. 26: 399-410. DOI: 10.1016/J.Patrec.2004.08.003 |
0.695 |
|
2005 |
Zhong S, Ghosh J. Generative model-based document clustering: a comparative study Knowledge and Information Systems. 8: 374-384. DOI: 10.1007/S10115-004-0194-1 |
0.638 |
|
2004 |
Banerjee A, Ghosh J. Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 702-19. PMID 15384557 DOI: 10.1109/Tnn.2004.824416 |
0.458 |
|
2004 |
Morgan JT, Ham J, Crawford MM, Henneguelle A, Ghosh J. Adaptive feature spaces for land cover classification with limited ground truth data International Journal of Pattern Recognition and Artificial Intelligence. 18: 777-799. DOI: 10.1142/S0218001404003411 |
0.358 |
|
2003 |
Strehl A, Ghosh J. Relationship-based clustering and visualization for high-dimensional data mining Informs Journal On Computing. 15: 208-230. DOI: 10.1287/Ijoc.15.2.208.14448 |
0.723 |
|
2003 |
Strehl A, Ghosh J. Cluster ensembles - A knowledge reuse framework for combining multiple partitions Journal of Machine Learning Research. 3: 583-617. DOI: 10.1162/153244303321897735 |
0.734 |
|
2003 |
Banerjee A, Dhillon I, Ghosh J, Sra S. Generative model-based clustering of directional data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 19-28. DOI: 10.1145/956750.956757 |
0.343 |
|
2003 |
Banerjee A, Ghosh J. Competitive Learning Mechanisms for Scalable, Incremental and Balanced Clustering of Streaming Texts Proceedings of the International Joint Conference On Neural Networks. 4: 2697-2702. |
0.336 |
|
2002 |
Zhong S, Ghosh J. A unified framework for model-based clustering Intelligent Engineering Systems Through Artificial Neural Networks. 12: 3-8. DOI: 10.1162/1532443041827943 |
0.636 |
|
2002 |
Kumar S, Ghosh J, Crawford MM. Hierarchical fusion of multiple classifiers for hyperspectral data analysis Pattern Analysis and Applications. 5: 210-220. DOI: 10.1007/S100440200019 |
0.509 |
|
2002 |
Tumer K, Ghosh J. Robust combining of disparate classifiers through order statistics Pattern Analysis and Applications. 5: 189-200. DOI: 10.1007/S100440200017 |
0.334 |
|
2002 |
Zhong S, Ghosh J. HMMs and coupled HMMs for multi-channel EEG classification Proceedings of the International Joint Conference On Neural Networks. 2: 1154-1159. |
0.478 |
|
2001 |
Gupta GK, Ghosh J. Value balanced agglomerative connectivity clustering Proceedings of Spie - the International Society For Optical Engineering. 4384: 6-15. DOI: 10.1117/12.421079 |
0.642 |
|
2001 |
Kumar S, Ghosh J, Crawford MM. Best-bases feature extraction algorithms for classification of hyperspectral data Ieee Transactions On Geoscience and Remote Sensing. 39: 1368-1379. DOI: 10.1109/36.934070 |
0.503 |
|
2001 |
Chang KY, Ghosh J. A unified model for probabilistic principal surfaces Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 22-41. DOI: 10.1109/34.899944 |
0.457 |
|
2000 |
Kumar S, Ghosh J, Crawford MM. Multiresolution feature extraction for pairwise classification of hyperspectral data Electronic Imaging. 3962: 60-71. DOI: 10.1117/12.382923 |
0.48 |
|
1999 |
Taha I, Ghosh J. Symbolic interpretation of artificial neural networks Ieee Transactions On Knowledge and Data Engineering. 11: 448-463. DOI: 10.1109/69.774103 |
0.307 |
|
1999 |
Bollacker KD, Ghosh J. Effective supra-classifiers for knowledge base construction Pattern Recognition Letters. 20: 1347-1352. DOI: 10.1016/S0167-8655(99)00104-X |
0.32 |
|
1998 |
Nag A, Ghosh J. Flexible resource-allocating network for noisy data Proceedings of Spie. 3390: 551-559. DOI: 10.1117/12.304846 |
0.333 |
|
1998 |
Ramamurti V, Ghosh J. Use of localized gating in mixture of experts networks Proceedings of Spie. 3390: 24-35. DOI: 10.1117/12.304812 |
0.328 |
|
1998 |
Chang KY, Ghosh J. Principal curves for nonlinear feature extraction and classification Proceedings of Spie - the International Society For Optical Engineering. 3307: 120-129. DOI: 10.1117/12.304651 |
0.338 |
|
1997 |
Stiles BW, Ghosh J. Habituation based neural networks for spatio-temporal classification Neurocomputing. 15: 273-307. DOI: 10.1016/S0925-2312(97)00010-6 |
0.303 |
|
1996 |
Amaral JN, Ghosh J. A concurrent architecture for serializable production systems Ieee Transactions On Parallel and Distributed Systems. 7: 1265-1280. DOI: 10.1109/71.553276 |
0.313 |
|
1996 |
Tumer K, Ghosh J. Error Correlation and Error Reduction in Ensemble Classifiers Connection Science. 8: 385-404. DOI: 10.1080/095400996116839 |
0.314 |
|
1996 |
Ghosh J, Tumer K, Beck S, Deuser L. Integration of neural classifiers for passive sonar signals Control and Dynamic Systems. 77: 301-338. DOI: 10.1016/S0090-5267(96)80033-8 |
0.34 |
|
1995 |
Shin Y, Ghosh J. Ridge Polynomial Networks Ieee Transactions On Neural Networks. 6: 610-622. DOI: 10.1109/72.377967 |
0.315 |
|
1994 |
Ghosh J, Chakravarthy SV. The Rapid Kernel Classifier: A Link between the Self-Organizing Feature Map and the Radial Basis Function Network Journal of Intelligent Material Systems and Structures. 5: 211-219. DOI: 10.1177/1045389X9400500207 |
0.322 |
|
1994 |
Ghosh J, Das S, John A. Concurrent processing of linearly ordered data structures on hypercube multicomputers Ieee Transactions On Parallel and Distributed Systems. 5: 898-911. DOI: 10.1109/71.308529 |
0.316 |
|
1994 |
Garg V, Ghosh J. Repeated computation of global functions in a distributed environment Ieee Transactions On Parallel and Distributed Systems. 5: 823-834. DOI: 10.1109/71.298209 |
0.315 |
|
1994 |
Amaral JN, Ghosh J. Speeding Up Production Systems: From Concurrent Matching to Parallel Rule Firing* Machine Intelligence and Pattern Recognition. 14: 139-160. DOI: 10.1016/B978-0-444-81704-4.50013-2 |
0.314 |
|
1994 |
Chu C, Ghosh J, Aggarwal JK. On Supporting Rule-Based Image Interpretation Using a Distributed Memory Multicomputer Machine Intelligence and Pattern Recognition. 14: 21-44. DOI: 10.1016/B978-0-444-81704-4.50008-9 |
0.302 |
|
1994 |
Draper JT, Ghosh J. The M-cache: A message-handling mechanism for multicomputer systems Parallel Computing. 20: 1269-1288. DOI: 10.1016/0167-8191(94)90037-X |
0.687 |
|
1994 |
Draper JT, Ghosh J. A Comprehensive Analytical Model for Wormhole Routing in Multicomputer Systems Journal of Parallel and Distributed Computing. 23: 202-214. DOI: 10.1006/Jpdc.1994.1132 |
0.713 |
|
1993 |
Acton ST, Ghosh J, Bovik AC. Fast combinatorial optimization using generalized deterministic annealing Proceedings of Spie. 1966: 402-413. DOI: 10.1117/12.152639 |
0.303 |
|
1993 |
Ghosh J, Gangishetti NV, Chakravarthy SV. Robust classification of variable-length sonar sequences Proceedings of Spie. 1965: 96-107. DOI: 10.1117/12.152524 |
0.314 |
|
1993 |
Ghosh J, Goveas KD, Draper JT. Performance Evaluation of a Parallel I/O Subsystem for Hypercube Multicomputers Journal of Parallel and Distributed Computing. 17: 90-106. DOI: 10.1006/Jpdc.1993.1007 |
0.7 |
|
1992 |
GHOSH J, SHIN Y. EFFICIENT HIGHER-ORDER NEURAL NETWORKS FOR CLASSIFICATION AND FUNCTION APPROXIMATION International Journal of Neural Systems. 3: 323-350. DOI: 10.1142/S0129065792000255 |
0.313 |
|
1992 |
Ghosh J, Karamcheti V. Sequence learning with recurrent networks: analysis of internal representations Proceedings of Spie. 1710: 449-460. DOI: 10.1117/12.140112 |
0.318 |
|
1992 |
Ghosh J, Beck SD, Chu C. Evidence combination techniques for robust classification of short-duration oceanic signals Proceedings of Spie. 1706: 266-276. DOI: 10.1117/12.139951 |
0.324 |
|
1992 |
Amaral JN, Tumer K, Ghosh J. Applying genetic algorithms to the state assignment problem: a case study Proceedings of Spie. 1706: 2-13. DOI: 10.1117/12.139933 |
0.316 |
|
1992 |
Ghosh J, Deuser LM, Beck SD. A Neural Network Based Hybrid System for Detection, Characterization, and Classification of Short-Duration Oceanic Signals Ieee Journal of Oceanic Engineering. 17: 351-363. DOI: 10.1109/48.180304 |
0.312 |
|
1992 |
Das SK, Ghosh J, Deo N. Stirling networks: a versatile combinatorial topology for multiprocessor systems Discrete Applied Mathematics. 37: 119-146. DOI: 10.1016/0166-218X(92)90128-W |
0.304 |
|
1989 |
Ghosh J, Hwang K. Mapping neural networks onto message-passing multicomputers Journal of Parallel and Distributed Computing. 6: 291-330. DOI: 10.1016/0743-7315(89)90063-4 |
0.301 |
|
1987 |
Hwang K, Ghosh J. Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers Ieee Transactions On Computers. 1450-1466. DOI: 10.1109/Tc.1987.5009497 |
0.347 |
|
Show low-probability matches. |