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ORCIDManoranjan Dash
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2020 – today
- 2023
[i2]Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong:
Improving the Inference of Topic Models via Infinite Latent State Replications. CoRR abs/2301.12974 (2023)- 2022
- [j23]Ashok Mahapatra, Srikanta Patnaik, Manoranjan Dash, Ananya Mahapatra:
Development of an innovative framework for missing data in retail data science. Int. J. Appl. Decis. Sci. 15(4): 426-464 (2022) - [j22]Ashok Mahapatra, Srikanta Patnaik, Manoranjan Dash, Ananya Mahapatra:
Solving on-shelf availability by a creative inference of data science imputation models. Int. J. Grid Util. Comput. 13(4): 425-446 (2022) - [j21]Daniel Rugeles
, Zhen Hai, Manoranjan Dash, Gao Cong:
Deterministic Inference of Topic Models via Maximal Latent State Replication. IEEE Trans. Knowl. Data Eng. 34(4): 1684-1695 (2022) - [c44]Saumi Roy, Archana Ravindra Salve, Jaymin Arvind Shah, Sanjeev Kadam, Iskandar Muda, Manoranjan Dash:
Artificial Intelligence Based Rural E-Commerce Boosting Using Big Data. IC3I 2022: 2087-2093 - 2021
- [j20]Jianxi Yang, Manoranjan Dash, Sin G. Teo:
PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories. ISPRS Int. J. Geo Inf. 10(4): 224 (2021) - 2020
- [j19]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj, Rajendra S. Sonawane:
A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. Appl. Soft Comput. 91: 106240 (2020) - [j18]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Vimal K. Shrivastava, Rajendra S. Sonawane:
Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. Comput. Biol. Chem. 86: 107247 (2020)
2010 – 2019
- 2019
- [j17]Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane:
PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network. Biomed. Signal Process. Control. 52: 226-237 (2019) - 2018
- [r2]Manoranjan Dash, Poon Wei Koot:
Feature Selection for Clustering. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash:
Heron Inference for Bayesian Graphical Models. CoRR abs/1802.06526 (2018) - 2017
- [c43]Manoranjan Dash, Sin G. Teo:
Privacy and Utility Preservation for Location Data Using Stay Region Analysis. ADMA 2017: 808-820 - [c42]Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy:
Biclustering: An application of Dual Topic Models. SDM 2017: 453-461 - 2016
- [c41]Miao Lin, Manoranjan Dash, Watt Pei Yi, Yunye Jin:
Smartphone-Based Place Profiling in a Privacy-Preserving Manner. iThings/GreenCom/CPSCom/SmartData 2016: 156-163 - [c40]Manoranjan Dash, Kee Kiat Koo, Shonali Krishnaswamy, Yunye Jin, Amy Shi Nash:
Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data. MDM 2016: 341-344 - 2015
- [c39]Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li:
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. ICDE 2015: 1452-1455 - [c38]Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Amy Shi Nash:
From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility. MDM (1) 2015: 243-250 - [c37]Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash:
Next place prediction by understanding mobility patterns. PerCom Workshops 2015: 469-474 - 2014
- [j16]Shubhendu Kumar Sarangi, Rutuparna Panda, Manoranjan Dash:
Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques. Eng. Appl. Artif. Intell. 34: 109-121 (2014) - [c36]Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash:
Home and Work Place Prediction for Urban Planning Using Mobile Network Data. MDM (2) 2014: 37-42 - [c35]Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash:
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. MDM (1) 2014: 345-348 - 2013
- [c34]Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li:
Automated Tracing of Retinal Blood Vessels Using Graphical Models. SCIA 2013: 277-289 - 2011
- [c33]Manoranjan Dash, Yew-Soon Ong:
RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. ICTAI 2011: 869-872 - [c32]S. A. Arul Shalom, Manoranjan Dash, Minh Tue Vo Thanh:
Comparative Study of Efficient Parallel Computations for Clustering on Desktop Computers with GPU. IICAI 2011: 661-673 - [c31]S. A. Arul Shalom, Manoranjan Dash:
Efficient Hierarchical Agglomerative Clustering Algorithms on GPU Using Data Partitioning. PDCAT 2011: 134-139 - [e1]Sanjay Kumar Jena, Rajeev Kumar, Ashok Kumar Turuk, Manoranjan Dash:
Proceedings of the 2011 International Conference on Communication, Computing & Security, ICCCS 2011, Odisha, India, February 12-14, 2011. ACM 2011, ISBN 978-1-4503-0464-1 [contents] - 2010
- [j15]Manoranjan Dash, Willie Ng:
Outlier detection in transactional data. Intell. Data Anal. 14(3): 283-298 (2010) - [j14]Willie Ng, Manoranjan Dash:
A comparison between approximate counting and sampling methods for frequent pattern mining on data streams. Intell. Data Anal. 14(6): 749-771 (2010) - [j13]Shukai Li, Narendra S. Chaudhari, Manoranjan Dash:
Selecting useful features for personal credit risk analysis. Int. J. Bus. Inf. Syst. 6(4): 530-546 (2010) - [j12]Willie Ng, Manoranjan Dash:
Discovery of Frequent Patterns in Transactional Data Streams. Trans. Large Scale Data Knowl. Centered Syst. 2: 1-30 (2010) - [c30]S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA. PAKDD (2) 2010: 35-42 - [p2]Manoranjan Dash, Vivekanand Gopalkrishnan:
Simultaneous Feature Selection and Tuple Selection for Efficient Classification. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 270-285
2000 – 2009
- 2009
- [j11]Manoranjan Dash, Ayush Singhania:
Mining in Large Noisy Domains. ACM J. Data Inf. Qual. 1(2): 8:1-8:30 (2009) - [c29]Willie Ng, Manoranjan Dash:
Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?. DaWaK 2009: 151-162 - [r1]Manoranjan Dash, Poon Wei Koot:
Feature Selection for Clustering. Encyclopedia of Database Systems 2009: 1119-1125 - 2008
- [c28]S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering. AusDM 2008: 179-186 - [c27]Willie Ng, Manoranjan Dash:
A Test Paradigm for Detecting Changes in Transactional Data Streams. DASFAA 2008: 204-219 - [c26]Manoranjan Dash, Vivekanand Gopalkrishnan:
Distance Based Feature Selection for Clustering Microarray Data. DASFAA 2008: 512-519 - [c25]S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
Efficient K-Means Clustering Using Accelerated Graphics Processors. DaWaK 2008: 166-175 - [c24]Willie Ng, Manoranjan Dash:
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams. DaWaK 2008: 241-250 - [c23]Manoranjan Dash, Oh Yin Hao:
Efficient cross validation over skewed noisy data. SMC 2008: 749-756 - [c22]Willie Ng, Manoranjan Dash:
A change detector for mining frequent patterns over evolving data streams. SMC 2008: 2407-2412 - [p1]Manoranjan Dash, Huan Liu:
Dimensionality Reduction. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j10]Manoranjan Dash, Simona Petrutiu, Peter Scheuermann:
pPOP: Fast yet accurate parallel hierarchical clustering using partitioning. Data Knowl. Eng. 61(3): 563-578 (2007) - [j9]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Markov blanket-embedded genetic algorithm for gene selection. Pattern Recognit. 40(11): 3236-3248 (2007) - [j8]Surong Wang, Manoranjan Dash, Liang-Tien Chia, Min Xu:
Efficient sampling of training set in large and noisy multimedia data. ACM Trans. Multim. Comput. Commun. Appl. 3(3): 14 (2007) - [j7]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework. IEEE Trans. Syst. Man Cybern. Part B 37(1): 70-76 (2007) - [c21]Manoranjan Dash, Ong Cher Yee:
extraRelief: Improving Relief by Efficient Selection of Instances. Australian Conference on Artificial Intelligence 2007: 305-314 - [c20]Manoranjan Dash, Vivekanand Gopalkrishnan:
Two Way Focused Classification. DaWaK 2007: 345-354 - 2006
- [j6]Surong Wang, Manoranjan Dash, Liang-Tien Chia, Min Xu:
Efficient data reduction in multimedia data. Appl. Intell. 25(3): 359-374 (2006) - [c19]Willie Ng, Manoranjan Dash:
An Evaluation of Progressive Sampling for Imbalanced Data Sets. ICDM Workshops 2006: 657-661 - [c18]Manoranjan Dash, Willie Ng:
Efficient Reservoir Sampling for Transactional Data Streams. ICDM Workshops 2006: 662-666 - 2005
- [c17]Surong Wang, Min Xu, Liang-Tien Chia, Manoranjan Dash:
EASIER Sampling for Audio Event Identification. ICME 2005: 1214-1217 - [c16]Manoranjan Dash, Deepak Kolippakkam:
Automatic View Selection: An Application to Image Mining. PAKDD 2005: 107-113 - [c15]Surong Wang, Manoranjan Dash, Liang-Tien Chia:
Efficient Sampling: Application to Image Data. PAKDD 2005: 452-463 - 2004
- [c14]Manoranjan Dash, Simona Petrutiu, Peter Scheuermann:
Efficient Parallel Hierarchical Clustering. Euro-Par 2004: 363-371 - 2003
- [j5]Manoranjan Dash, Huan Liu:
Consistency-based search in feature selection. Artif. Intell. 151(1-2): 155-176 (2003) - [j4]Manoranjan Dash, Huan Liu, Peter Scheuermann, Kian-Lee Tan:
Fast hierarchical clustering and its validation. Data Knowl. Eng. 44(1): 109-138 (2003) - [c13]Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter J. Haas, Peter Scheuermann:
Efficient data reduction with EASE. KDD 2003: 59-68 - [c12]Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda:
Active Feature Selection Using Classes. PAKDD 2003: 474-485 - 2002
- [j3]Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan Dash:
Discretization: An Enabling Technique. Data Min. Knowl. Discov. 6(4): 393-423 (2002) - [c11]Manoranjan Dash, Kiseok Choi, Peter Scheuermann, Huan Liu:
Feature Selection for Clustering - A Filter Solution. ICDM 2002: 115-122 - 2001
- [c10]Manoranjan Dash, Huan Liu, X. Xu:
'1 + 1 > 2': Merging Distance and Density Based Clustering. DASFAA 2001: 32-39 - [c9]Manoranjan Dash, Kian-Lee Tan, Huan Liu:
Efficient Yet Accurate Clustering. ICDM 2001: 99-106 - [c8]Manoranjan Dash, Huan Liu:
Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions. PAKDD 2001: 495-506 - 2000
- [j2]J. Yao, Manoranjan Dash, S. T. Tan, Hua Liu:
Entropy-based fuzzy clustering and fuzzy modeling. Fuzzy Sets Syst. 113(3): 381-388 (2000) - [c7]Manoranjan Dash, Huan Liu, Hiroshi Motoda:
Consistency Based Feature Selection. PAKDD 2000: 98-109 - [c6]Manoranjan Dash, Huan Liu:
Feature Selection for Clustering. PAKDD 2000: 110-121
1990 – 1999
- 1999
- [c5]Manoranjan Dash, Huan Liu, Hiroshi Motoda:
Feature Selection Using Consistency Measure. Discovery Science 1999: 319-320 - [c4]Manoranjan Dash, Huan Liu:
Handling Large Unsupervised Data via Dimensionality Reduction. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - 1998
- [c3]Huan Liu, Hiroshi Motoda, Manoranjan Dash:
A Monotonic Measure for Optimal Feature Selection. ECML 1998: 101-106 - [c2]Manoranjan Dash, Huan Liu:
Hybrid Search of Feature Subsets. PRICAI 1998: 238-249 - 1997
- [j1]Manoranjan Dash, Huan Liu:
Feature Selection for Classification. Intell. Data Anal. 1(1-4): 131-156 (1997) - [c1]Manoranjan Dash, Hua Liu, J. Yao:
Dimensionality Reduction of Unsupervised Data. ICTAI 1997: 532-539
Coauthor Index
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