Kalyan Veeramachaneni
According to our database1,
Kalyan Veeramachaneni
authored at least 116 papers
between 2003 and 2024.
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Bibliography
2024
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers.
CoRR, 2024
2023
CoRR, 2023
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection.
CoRR, 2023
2022
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making.
IEEE Trans. Vis. Comput. Graph., 2022
IEEE Trans. Vis. Comput. Graph., 2022
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series.
Proc. ACM Hum. Comput. Interact., 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Proc. ACM Hum. Comput. Interact., 2021
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models.
CoRR, 2021
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations.
CoRR, 2021
CoRR, 2021
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making.
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities.
CoRR, 2020
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development.
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
The Holy Grail of "Systems for Machine Learning": Teaming humans and machine learning for detecting cyber threats.
SIGKDD Explor., 2019
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019
Proceedings of the Cyber Security Cryptography and Machine Learning, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Prediction Factory: automated development and collaborative evaluation of predictive models.
CoRR, 2018
Solving the False Positives Problem in Fraud Prediction Using Automated Feature Engineering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Cyber Security Cryptography and Machine Learning, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the Cyber Security Cryptography and Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
DropoutSeer: Visualizing learning patterns in Massive Open Online Courses for dropout reasoning and prediction.
Proceedings of the 11th IEEE Conference on Visual Analytics Science and Technology, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Proceedings of the 9th International Conference on Educational Data Mining, 2016
What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the 2nd IEEE International Conference on Big Data Security on Cloud, 2016
2015
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015
FlexGP - Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems.
J. Grid Comput., 2015
IEEE Comput. Intell. Mag., 2015
Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015
2014
Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems.
J. Ambient Intell. Smart Environ., 2014
CoRR, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic Programming - 17th European Conference, 2014
Proceedings of the International Conference on Parallel Architectures and Compilation, 2014
2013
Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Efficient training set use for blood pressure prediction in a large scale learning classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Foundations of Genetic Algorithms XII, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013
2012
Knowledge mining sensory evaluation data: genetic programming, statistical techniques, and swarm optimization.
Genet. Program. Evolvable Mach., 2012
Graphical models and what they reveal about GP when it solves a symbolic regression problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
An investigation of local patterns for estimation of distribution genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Applications of Evolutionary Computation, 2012
Optimizing energy output and layout costs for large wind farms using particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Hitoshi Iba, Topon Kumar Paul, Yoshohiko Hasegawa: Applied genetic programming and machine learning - CRC Press, 327 pp, ISBN: 978-1-4398-0369-1.
Genet. Program. Evolvable Mach., 2011
Ann. Math. Artif. Intell., 2011
Proceedings of the Genetic Programming - 14th European Conference, 2011
2010
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010
Knowledge mining with genetic programming methods for variable selection in flavor design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data.
Proceedings of the Genetic Programming, 13th European Conference, 2010
2009
IEEE Syst. J., 2009
Situation assessment and autonomous control and optimisation of biometric sensor network.
Int. J. Biom., 2009
Achieving spectrum efficiency through signal design for ultra wide band sensor networks.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009
Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
Fusing correlated data from multiple classifiers for improved biometric verification.
Proceedings of the 12th International Conference on Information Fusion, 2009
A particle swarm optimization based multilateration algorithm for UWB sensor network.
Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009
2008
Swarm intelligence based optimization and control of decentralized serial sensor networks.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2007
Probabilistically Driven Particle Swarms for Optimization of Multi Valued Discrete Problems : Design and Analysis.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
2004
An Evolutionary Algorithm Based Approach for Dynamic Thresholding in Multimodal Biometrics.
Proceedings of the Biometric Authentication, First International Conference, 2004
2003
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003