Colin Campbell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
12
Active years
1991–2024
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | QCE | Arbitrary State Preparation via Quantum Walks. | Alvin Gonzales, Rebekah Herrman, Colin Campbell, Igor Gaidai, Ji Liu, Teague Tomesh, Zain H. Saleem |
| 2023 | QCE | Superstaq: Deep Optimization of Quantum Programs. | Colin Campbell, Frederic T. Chong, Denny Dahl, Paige Frederick, Palash Goiporia, Pranav Gokhale, Benjamin P. Hall, Salahedeen Issa, Eric Jones, Stephanie Lee, Andrew Litteken, Victory Omole, David Owusu-Antwi, Michael A. Perlin, Richard Rines, Kaitlin N. Smith, Noah Goss, Akel Hashim, Ravi Naik, Ed Younis, Daniel S. Lobser, Christopher G. Yale, Benchen Huang, Ji Liu |
| 2022 | ICSA | QAOA of the Highest Order. | Colin Campbell, Edward Dahl |
| 2014 | ESANN | A Random Forest proximity matrix as a new measure for gene annotation. | Jos A. Seoane, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt |
| 2013 | IWANN | Texture Classification Using Kernel-Based Techniques. | Carlos Fernandez-Lozano, Jos A. Seoane, Marcos Gestal, Tom R. Gaunt, Colin Campbell |
| 2009 | COLT | Generalization Bounds for Learning the Kernel Problem. | Yiming Ying, Colin Campbell |
| 2009 | ESANN | A Variational Approach to Semi-Supervised Clustering. | Peng Li, Yiming Ying, Colin Campbell |
| 2009 | ICDM | GSML: A Unified Framework for Sparse Metric Learning. | Kaizhu Huang, Yiming Ying, Colin Campbell |
| 2009 | IJCNN | Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell |
| 2008 | COLT | Learning Coordinate Gradients with Multi-Task Kernels. | Yiming Ying, Colin Campbell |
| 2008 | ICMLA | Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. | Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell |
| 2007 | FORTE | Composition of Model Programs. | Margus Veanes, Colin Campbell, Wolfram Schulte |
| 2007 | FORTE | State Isomorphism in Model Programs with Abstract Data Structures. | Margus Veanes, Juhan P. Ernits, Colin Campbell |
| 2005 | FM | Testing Concurrent Object-Oriented Systems with Spec Explorer. | Colin Campbell, Wolfgang Grieskamp, Lev Nachmanson, Wolfram Schulte, Nikolai Tillmann, Margus Veanes |
| 2003 | PDPTA | Simulation of Fault-Tolerant Parallel Systems Design Paradigms for Extensible Solutions. | Colin Campbell, Pierre M. Fiorini |
| 2000 | ESANN | Algorithmic approaches to training Support Vector Machines: a survey. | Colin Campbell |
| 2000 | ESANN | Robust Bayes Point Machines. | Ralf Herbrich, Thore Graepel, Colin Campbell |
| 2000 | ICML | Query Learning with Large Margin Classifiers. | Colin Campbell, Nello Cristianini, Alexander J. Smola |
| 1999 | ESANN | A multiplicative updating algorithm for training support vector machine. | Nello Cristianini, Colin Campbell, John Shawe-Taylor |
| 1998 | ICML | The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. | Thilo-Thomas Frie, Nello Cristianini, Colin Campbell |
| 1995 | ESANN | Constructing feed-forward neural networks for binary classification tasks. | Colin Campbell, Conrado J. Prez Vicente |
| 1991 | IWANN | Dynamic Thresholds and Attractor Neural Networks. | Colin Campbell |