Dimensionality Reduction of Unsupervised Data. - Manoranjan Dash; Hua Liu; J. Yao (ICTAI, 1997)

Feature Selection for Classification. - Manoranjan Dash; Huan Liu 001 (Intell. Data Anal., 1997)

A Monotonic Measure for Optimal Feature Selection. - Huan Liu 001; Hiroshi Motoda; Manoranjan Dash (ECML, 1998)

Hybrid Search of Feature Subsets. - Manoranjan Dash; Huan Liu 001 (PRICAI, 1998)

Feature Selection Using Consistency Measure. - Manoranjan Dash; Huan Liu 001; Hiroshi Motoda (Discovery Science, 1999)

Handling Large Unsupervised Data via Dimensionality Reduction. - Manoranjan Dash; Huan Liu 001 (1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999)

Feature Selection for Clustering. - Manoranjan Dash; Huan Liu 001 (PAKDD, 2000)

Consistency Based Feature Selection. - Manoranjan Dash; Huan Liu 001; Hiroshi Motoda (PAKDD, 2000)

Entropy-based fuzzy clustering and fuzzy modeling. - J. Yao; Manoranjan Dash; S. T. Tan; Hua Liu (Fuzzy Sets Syst., 2000)

'1 + 1 > 2': Merging Distance and Density Based Clustering. - Manoranjan Dash; Huan Liu 001; X. Xu (DASFAA, 2001)

Efficient Yet Accurate Clustering. - Manoranjan Dash; Kian-Lee Tan; Huan Liu 001 (ICDM, 2001)

Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions. - Manoranjan Dash; Huan Liu 001 (PAKDD, 2001)

Feature Selection for Clustering - A Filter Solution. - Manoranjan Dash; Kiseok Choi; Peter Scheuermann; Huan Liu 001 (ICDM, 2002)

Discretization: An Enabling Technique. - Huan Liu 001; Farhad Hussain; Chew Lim Tan; Manoranjan Dash (Data Min. Knowl. Discov., 2002)

Efficient data reduction with EASE. - Hervé Brönnimann; Bin Chen; Manoranjan Dash; Peter J. Haas; Peter Scheuermann (KDD, 2003)

Active Feature Selection Using Classes. - Huan Liu 001; Lei Yu 001; Manoranjan Dash; Hiroshi Motoda (PAKDD, 2003)

Consistency-based search in feature selection. - Manoranjan Dash; Huan Liu 001 (Artif. Intell., 2003)

Fast hierarchical clustering and its validation. - Manoranjan Dash; Huan Liu 001; Peter Scheuermann; Kian-Lee Tan (Data Knowl. Eng., 2003)

Efficient Parallel Hierarchical Clustering. - Manoranjan Dash; Simona Petrutiu; Peter Scheuermann (Euro-Par, 2004)

EASIER Sampling for Audio Event Identification. - Surong Wang; Min Xu 001; Liang-Tien Chia; Manoranjan Dash (ICME, 2005)

Automatic View Selection: An Application to Image Mining. - Manoranjan Dash; Deepak Kolippakkam (PAKDD, 2005)

Efficient Sampling: Application to Image Data. - Surong Wang; Manoranjan Dash; Liang-Tien Chia (PAKDD, 2005)

Efficient Reservoir Sampling for Transactional Data Streams. - Manoranjan Dash; Willie Ng (ICDM Workshops, 2006)

An Evaluation of Progressive Sampling for Imbalanced Data Sets. - Willie Ng; Manoranjan Dash (ICDM Workshops, 2006)

Efficient data reduction in multimedia data. - Surong Wang; Manoranjan Dash; Liang-Tien Chia; Min Xu 001 (Appl. Intell., 2006)

extraRelief: Improving Relief by Efficient Selection of Instances. - Manoranjan Dash; Ong Cher Yee (Australian Conference on Artificial Intelligence, 2007)

Two Way Focused Classification. - Manoranjan Dash; Vivekanand Gopalkrishnan (DaWaK, 2007)

pPOP: Fast yet accurate parallel hierarchical clustering using partitioning. - Manoranjan Dash; Simona Petrutiu; Peter Scheuermann (Data Knowl. Eng., 2007)

Markov blanket-embedded genetic algorithm for gene selection. - Zexuan Zhu; Yew-Soon Ong; Manoranjan Dash (Pattern Recognit., 2007)

Efficient sampling of training set in large and noisy multimedia data. - Surong Wang; Manoranjan Dash; Liang-Tien Chia; Min Xu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2007)

Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework. - Zexuan Zhu; Yew-Soon Ong; Manoranjan Dash (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering. - S. A. Arul Shalom; Manoranjan Dash; Minh Tue (AusDM, 2008)

Distance Based Feature Selection for Clustering Microarray Data. - Manoranjan Dash; Vivekanand Gopalkrishnan (DASFAA, 2008)

A Test Paradigm for Detecting Changes in Transactional Data Streams. - Willie Ng; Manoranjan Dash (DASFAA, 2008)

Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams. - Willie Ng; Manoranjan Dash (DaWaK, 2008)

Efficient K-Means Clustering Using Accelerated Graphics Processors. - S. A. Arul Shalom; Manoranjan Dash; Minh Tue (DaWaK, 2008)

Efficient cross validation over skewed noisy data. - Manoranjan Dash; Oh Yin Hao (SMC, 2008)

A change detector for mining frequent patterns over evolving data streams. - Willie Ng; Manoranjan Dash (SMC, 2008)

Dimensionality Reduction. - Manoranjan Dash; Huan Liu 001 (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?. - Willie Ng; Manoranjan Dash (DaWaK, 2009)

Mining in Large Noisy Domains. - Manoranjan Dash; Ayush Singhania (ACM J. Data Inf. Qual., 2009)

Feature Selection for Clustering. - Manoranjan Dash; Poon Wei Koot (Encyclopedia of Database Systems, 2009)

Simultaneous Feature Selection and Tuple Selection for Efficient Classification. - Manoranjan Dash; Vivekanand Gopalkrishnan (Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development, 2010)

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA. - S. A. Arul Shalom; Manoranjan Dash; Minh Tue (PAKDD (2), 2010)

Outlier detection in transactional data. - Manoranjan Dash; Willie Ng (Intell. Data Anal., 2010)

A comparison between approximate counting and sampling methods for frequent pattern mining on data streams. - Willie Ng; Manoranjan Dash (Intell. Data Anal., 2010)

Selecting useful features for personal credit risk analysis. - Shukai Li; Narendra S. Chaudhari; Manoranjan Dash (Int. J. Bus. Inf. Syst., 2010)

Discovery of Frequent Patterns in Transactional Data Streams. - Willie Ng; Manoranjan Dash (Trans. Large Scale Data Knowl. Centered Syst., 2010)

RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. - Manoranjan Dash; Yew-Soon Ong (ICTAI, 2011)

Comparative Study of Efficient Parallel Computations for Clustering on Desktop Computers with GPU. - S. A. Arul Shalom; Manoranjan Dash; Minh Tue Vo Thanh (IICAI, 2011)

Efficient Hierarchical Agglomerative Clustering Algorithms on GPU Using Data Partitioning. - S. A. Arul Shalom; Manoranjan Dash (PDCAT, 2011)

Automated Tracing of Retinal Blood Vessels Using Graphical Models. - Jaydeep De; Tengfei Ma 001; Huiqi Li; Manoranjan Dash; Cheng Li (SCIA, 2013)

An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. - Manoranjan Dash; Gim Guan Chua; Hai-Long Nguyen; Ghim-Eng Yap; Hong Cao; Xiaoli Li 001; Shonali Priyadarsini Krishnaswamy; James Decraene; Amy Shi Nash (MDM (1), 2014)

Home and Work Place Prediction for Urban Planning Using Mobile Network Data. - Manoranjan Dash; Hai-Long Nguyen; Hong Cao; Ghim-Eng Yap; Minh Nhut Nguyen; Xiaoli Li 001; Shonali Priyadarsini Krishnaswamy; James Decraene; Spiros Antonatos; Yue Wang; Dang The Anh; Amy Shi Nash (MDM (2), 2014)

Design of 1-D and 2-D recursive filters using crossover bacterial foraging and Cuckoo search techniques. - Shubhendu Kumar Sarangi; Rutuparna Panda; Manoranjan Dash (Eng. Appl. Artif. Intell., 2014)

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. - Manoranjan Dash; Kee Kiat Koo; James Decraene; Ghim-Eng Yap; Wei Wu 020; João Bártolo Gomes; Amy Shi Nash; Xiaoli Li 001 (ICDE, 2015)

From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility. - Manoranjan Dash; Kee Kiat Koo; Thomas Holleczek; Ghim-Eng Yap; Shonali Priyadarsini Krishnaswamy; Amy Shi Nash (MDM (1), 2015)

Next place prediction by understanding mobility patterns. - Manoranjan Dash; Kee Kiat Koo; João Bártolo Gomes; Shonali Priyadarsini Krishnaswamy; Daniel Rugeles; Amy Shi Nash (PerCom Workshops, 2015)

Smartphone-Based Place Profiling in a Privacy-Preserving Manner. - Miao Lin; Manoranjan Dash; Watt Pei Yi; Yunye Jin (iThings/GreenCom/CPSCom/SmartData, 2016)

Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data. - Manoranjan Dash; Kee Kiat Koo; Shonali Krishnaswamy; Yunye Jin; Amy Shi Nash (MDM, 2016)

Privacy and Utility Preservation for Location Data Using Stay Region Analysis. - Manoranjan Dash; Sin G. Teo (ADMA, 2017)

Biclustering: An application of Dual Topic Models. - Daniel Rugeles; Kaiqi Zhao 001; Gao Cong; Manoranjan Dash; Shonali Krishnaswamy (SDM, 2017)

Heron Inference for Bayesian Graphical Models. - Daniel Rugeles; Zhen Hai; Gao Cong; Manoranjan Dash (CoRR, 2018)

Feature Selection for Clustering. - Manoranjan Dash; Poon Wei Koot (Encyclopedia of Database Systems (2nd ed.), 2018)

PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Ashish Semwal; Rajendra S. Sonawane (Biomed. Signal Process. Control., 2019)

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Ritesh Raj; Rajendra S. Sonawane (Appl. Soft Comput., 2020)

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. - Manoranjan Dash; Narendra D. Londhe; Subhojit Ghosh; Vimal K. Shrivastava; Rajendra S. Sonawane (Comput. Biol. Chem., 2020)

PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories. - Jianxi Yang; Manoranjan Dash; Sin G. Teo (ISPRS Int. J. Geo Inf., 2021)

Artificial Intelligence Based Rural E-Commerce Boosting Using Big Data. - Saumi Roy; Archana Ravindra Salve; Jaymin Arvind Shah; Sanjeev Kadam; Iskandar Muda; Manoranjan Dash (IC3I, 2022)

Development of an innovative framework for missing data in retail data science. - Ashok Mahapatra; Srikanta Patnaik; Manoranjan Dash; Ananya Mahapatra (Int. J. Appl. Decis. Sci., 2022)

Solving on-shelf availability by a creative inference of data science imputation models. - Ashok Mahapatra; Srikanta Patnaik; Manoranjan Dash; Ananya Mahapatra (Int. J. Grid Util. Comput., 2022)

Deterministic Inference of Topic Models via Maximal Latent State Replication. - Daniel Rugeles; Zhen Hai; Manoranjan Dash; Gao Cong (IEEE Trans. Knowl. Data Eng., 2022)

ASBlock: An Agricultural based Supply Chain Management using Blockchain Technology. - Amrutanshu Panigrahi; Abhilash Pati; Bibhu Dash; Ghanashyam Sahoo; Debabrata Singh; Manoranjan Dash (ICMLDE, 2023)

Improving the Inference of Topic Models via Infinite Latent State Replications. - Daniel Rugeles; Zhen Hai; Juan Felipe Carmona; Manoranjan Dash; Gao Cong (CoRR, 2023)

Behavioural finance research and knowledge mapping: a comprehensive bibliometric analysis from 2010 to 2022. - Anshita Bihari; Manoranjan Dash; Padma Charan Mishra; Sukumar Dash (Int. J. Appl. Decis. Sci., 2025)