Kalyan Veeramachaneni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
21
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | DSAA | Can Large Language Models be Anomaly Detectors for Time Series? | Sarah Alnegheimish, Linh Nguyen, Laure Berti-quille, Kalyan Veeramachaneni |
| 2022 | ICONIP | In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. | Lei Xu, Laure Berti-quille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2022 | IJCNLP | R&R: Metric-guided Adversarial Sentence Generation. | Lei Xu, Alfredo Cuesta-Infante, Laure Berti-quille, Kalyan Veeramachaneni |
| 2022 | SIGMOD | Sintel: A Machine Learning Framework to Extract Insights from Signals. | Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-quille, Kalyan Veeramachaneni |
| 2021 | CHI | Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. | Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni |
| 2021 | IJCAI | Towards Reducing Biases in Combining Multiple Experts Online. | Yi Sun, Ivn Ramrez Daz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2020 | CHI | Understanding User-Bot Interactions for Small-Scale Automation in Open-Source Development. | Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni |
| 2020 | DSAA | Cardea: An Open Automated Machine Learning Framework for Electronic Health Records. | Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni |
| 2020 | SIGMOD | The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development. | Micah J. Smith, Carles Sala, James Max Kanter, Kalyan Veeramachaneni |
| 2019 | AAAI | Learning Vine Copula Models for Synthetic Data Generation. | Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2019 | CHI | ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. | Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu |
| 2019 | CoNLL | TILM: Neural Language Models with Evolving Topical Influence. | Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai |
| 2019 | IUI | eX2: a framework for interactive anomaly detection. | Ignacio Arnaldo, Kalyan Veeramachaneni, Mei Lam |
| 2018 | GECCO | Summary of evolutionary computation for wind farm layout optimization. | Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo Lpez Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender zcan, Sergio Ivvan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernndez Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc |
| 2017 | DSAA | Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. | Alec Anderson, Sbastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2017 | DSAA | AnonML: Locally Private Machine Learning over a Network of Peers. | Bennett Cyphers, Kalyan Veeramachaneni |
| 2017 | DSAA | FeatureHub: Towards Collaborative Data Science. | Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni |
| 2016 | DSAA | Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering. | James Max Kanter, Owen Gillespie, Kalyan Veeramachaneni |
| 2016 | DSAA | The Synthetic Data Vault. | Neha Patki, Roy Wedge, Kalyan Veeramachaneni |
| 2016 | DSAA | What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems. | Benjamin Schreck, Kalyan Veeramachaneni |
| 2016 | EDM | Robust Predictive Models on MOOCs : Transferring Knowledge across Courses. | Sebastien Boyer, Kalyan Veeramachaneni |
| 2016 | EDM | Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs. | Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri |
| 2016 | ICDM | Markov Switching Copula Models for Longitudinal Data. | Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2015 | AIED | Transfer Learning for Predictive Models in Massive Open Online Courses. | Sebastien Boyer, Kalyan Veeramachaneni |
| 2015 | CBMS | Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals. | Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2015 | DSAA | Data science foundry for MOOCs. | Sebastien Boyer, Ben U. Gelman, Benjamin Schreck, Kalyan Veeramachaneni |
| 2015 | DSAA | Deep feature synthesis: Towards automating data science endeavors. | James Max Kanter, Kalyan Veeramachaneni |
| 2015 | GECCO | Building Predictive Models via Feature Synthesis. | Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni |
| 2015 | IJCAI | Copula Graphical Models for Wind Resource Estimation. | Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly |
| 2015 | PLDI | Autotuning algorithmic choice for input sensitivity. | Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe |
| 2014 | EUROGP | Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. | Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2014 | GECCO | A continuous developmental model for wind farm layout optimization. | Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Herv Luga |
| 2013 | AIED | Developing Data Standards and Systems for MOOC Data Science. | Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly |
| 2013 | FOGA | Introducing graphical models to analyze genetic programming dynamics. | Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2013 | GECCO | Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. | Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly |
| 2013 | GECCO | Efficient training set use for blood pressure prediction in a large scale learning classifier system. | Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly |
| 2013 | GECCO | Learning regression ensembles with genetic programming at scale. | Kalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly |
| 2013 | GECCO | On learning to generate wind farm layouts. | Dennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2013 | SMC | Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring. | Monica Vitali, Una-May O'Reilly, Kalyan Veeramachaneni |
| 2012 | CEC | Optimizing energy output and layout costs for large wind farms using particle swarm optimization. | Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann |
| 2012 | GECCO | An investigation of local patterns for estimation of distribution genetic programming. | Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly |
| 2012 | GECCO | Graphical models and what they reveal about GP when it solves a symbolic regression problem. | Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2011 | EUROGP | How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. | James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni |
| 2010 | EUROGP | Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. | Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon |
| 2010 | GECCO | Evolutionary optimization of flavors. | Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly |
| 2010 | GECCO | Knowledge mining with genetic programming methods for variable selection in flavor design. | Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly |
| 2009 | FUSION | Fusing correlated data from multiple classifiers for improved biometric verification. | Nisha Srinivas, Kalyan Veeramachaneni, Lisa Ann Osadciw |
| 2009 | FUSION | Unsupervised learning and fusion for failure detection in wind turbines. | Xiang Ye, Kalyan Veeramachaneni, Yanjun Yan, Lisa Ann Osadciw |
| 2008 | CVPR | Decision-level fusion strategies for correlated biometric classifiers. | Kalyan Veeramachaneni, Lisa Ann Osadciw, Arun Ross, Nisha Srinivas |
| 2003 | GECCO | Optimization Using Particle Swarms with Near Neighbor Interactions. | Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K. Mohan, Lisa Ann Osadciw |