K. Das

发表

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2004 .

Kanishka Bhaduri, K. Das, 2011 .

Title of Thesis: a Web-based Interactive Visualization Tool to Explore Patterns of Amino Acid Substitution a Web-based Interactive Visualization Tool to Explore Patterns of Amino Acid Substitution

K. Das, 2005 .

Localizing anomalous changes in time-evolving graphs

Kumar Sricharan, Kamalika Das, K. Sricharan, 2014, SIGMOD Conference.

Large scale support vector regression for aviation safety

N. Oza, Kanishka Bhaduri, K. Das, 2015, 2015 IEEE International Conference on Big Data (Big Data).

DISTRIBUTED ANOMALY DETECTION USING SATELLITE DATA FUSION

P. Votava, K. Das, 2010 .

A Game Theoretic Perspective Toward Practical Privacy Preserving Data Mining

K. Das, K. Ibm, Agnik hillol, 2007 .

On the Use of Semantics in Multi-objective Genetic Programming

J. Bongard, S. Ganguly, A. Kodali, 2022 .

XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification

K. Sricharan, K. Das, S. Mukhopadhyay, 2022, ArXiv.

Understanding climate-vegetation interactions in global rainforests through a GP model-tree analysis

J. Bongard, S. Ganguly, A. Kodali, 2017 .

Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps

Kamalika Das, Soroosh Sorooshian, Ata Akbari Asanjan, 2020, KDD.

Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)

Kamalika Das, Ved Chirayath, Alan Li, 2020 .

Algorithms for Distributed Data Stream Mining

Rong Chen, Ran Wolff, Hillol Kargupta, 2007, Data Streams - Models and Algorithms.

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines

Katharina Morik, Kanishka Bhaduri, Kamalika Das, 2013, ECML/PKDD.

Parallel and Distributed Data Mining for Astronomy Applications

Kanishka Bhaduri, Kamalika Das, Kanishka Bhaduri, 2012 .

Integrating Parallel and Distributed Data Mining Algorithms into the NASA Earth Exchange (NEX)

Ramakrishna R. Nemani, Kamalika Das, Ankush Khandelwal, 2014 .

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms

Kanishka Bhaduri, Kamalika Das, Santanu Das, 2013, J. Aerosp. Inf. Syst..

PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization

Kamalika Das, Anind K. Dey, Chandrayee Basu, 2015, UbiComp.

A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, Knowledge and Information Systems.

Client-side web mining for community formation in peer-to-peer environments

H. Kargupta, Kanishka Bhaduri, K. Das, 2006, SKDD.

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2011, Peer-to-Peer Netw. Appl..

A local distributed peer-to-peer algorithm using multi-party optimization based privacy preservation for data mining primitive computation

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2009, 2009 IEEE Ninth International Conference on Peer-to-Peer Computing.

Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network

Kun Liu, Hillol Kargupta, Kanishka Bhaduri, 2008, IEEE Transactions on Knowledge and Data Engineering.

Peer-to-Peer Data Mining, Privacy Issues, and Games

Hillol Kargupta, Kanishka Bhaduri, Kamalika Das, 2007, AIS-ADM.

Distributed anomaly detection using 1‐class SVM for vertically partitioned data

Kanishka Bhaduri, Kamalika Das, Petr Votava, 2011, Stat. Anal. Data Min..

Distributed Anomaly Detection using Satellite Data From Multiple Modalitie

Kanishka Bhaduri, Kamalika Das, Petr Votava, 2010, CIDU.

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2018, PPSN.

Semantic Forward Propagation for Symbolic Regression

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2016, PPSN.

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming

Sangram Ganguly, Kamalika Das, Josh C. Bongard, 2016, GECCO.

Sparse inverse kernel Gaussian Process regression

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2013, Stat. Anal. Data Min..

SPARSE INVERSE GAUSSIAN PROCESS REGRESSION WITH APPLICATION TO CLIMATE NETWORK DISCOVERY

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2011 .

Detecting Abnormal Machine Characteristics in Cloud Infrastructures

Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

Kamalika Das, Ashok N. Srivastava, A. Srivastava, 2010, 2010 IEEE International Conference on Data Mining.