Kalyan Veeramachaneni
Kalyan Veeramachaneni
Principal Research Scientist, Massachusetts Institute of Technology
Dirección de correo verificada de csail.mit.edu
Citado por
Citado por
Fitness-distance-ratio based particle swarm optimization
T Peram, K Veeramachaneni, CK Mohan
Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No …, 2003
Opentuner: An extensible framework for program autotuning
J Ansel, S Kamil, K Veeramachaneni, J Ragan-Kelley, J Bosboom, ...
Proceedings of the 23rd international conference on Parallel architectures …, 2014
Optimization using particle swarms with near neighbor interactions
K Veeramachaneni, T Peram, C Mohan, L Osadciw
Genetic and Evolutionary Computation—GECCO 2003, 200-200, 2003
Deep feature synthesis: Towards automating data science endeavors
JM Kanter, K Veeramachaneni
2015 IEEE international conference on data science and advanced analytics …, 2015
AI^ 2: training a big data machine to defend
K Veeramachaneni, I Arnaldo, V Korrapati, C Bassias, K Li
2016 IEEE 2nd International Conference on Big Data Security on Cloud …, 2016
An adaptive multimodal biometric management algorithm
K Veeramachaneni, LA Osadciw, PK Varshney
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2005
Likely to stop? predicting stopout in massive open online courses
C Taylor, K Veeramachaneni, UM O'Reilly
arXiv preprint arXiv:1408.3382, 2014
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
Moocdb: Developing standards and systems to support mooc data science
K Veeramachaneni, S Halawa, F Dernoncourt, UM O'Reilly, C Taylor, ...
arXiv preprint arXiv:1406.2015, 2014
The synthetic data vault
N Patki, R Wedge, K Veeramachaneni
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
Transfer learning for predictive models in massive open online courses
S Boyer, K Veeramachaneni
International conference on artificial intelligence in education, 54-63, 2015
Probabilistically driven particle swarms for optimization of multi valued discrete problems: Design and analysis
K Veeramachaneni, L Osadciw, G Kamath
2007 IEEE Swarm Intelligence Symposium, 141-149, 2007
Optimizing the layout of 1000 wind turbines
M Wagner, K Veeramachaneni, F Neumann, UM O’Reilly
European wind energy association annual event 205209, 2011
Decision-level fusion strategies for correlated biometric classifiers
K Veeramachaneni, L Osadciw, A Ross, N Srinivas
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
Building predictive models via feature synthesis
I Arnaldo, UM O'Reilly, K Veeramachaneni
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
ATM: A distributed, collaborative, scalable system for automated machine learning
T Swearingen, W Drevo, B Cyphers, A Cuesta-Infante, A Ross, ...
2017 IEEE International Conference on Big Data (Big Data), 151-162, 2017
Improving personal identification accuracy using multisensor fusion for building access control applications
L Osadciw, P Varshney, K Veeramachaneni
Proceedings of the Fifth International Conference on Information Fusion …, 2002
Distributed, multi-model, self-learning platform for machine learning
WD Drevo, KK Veeramachaneni, U O'reilly
US Patent App. 14/598,628, 2016
Algorithms for cable network design on large-scale wind farms
C Berzan, K Veeramachaneni, J McDermott, UM O’Reilly
Massachusetts Institute of Technology 144, 2011
DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction
Y Chen, Q Chen, M Zhao, S Boyer, K Veeramachaneni, H Qu
2016 IEEE Conference on Visual Analytics Science and Technology (VAST), 111-120, 2016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20