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ORCIDOmid Madani
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2020 – today
- 2024
[i8]Omid Madani:
Tracking Changing Probabilities via Dynamic Learners. CoRR abs/2402.10142 (2024)- 2023
- [j9]Omid Madani:
An information theoretic score for learning hierarchical concepts. Frontiers Comput. Neurosci. 17 (2023) - 2022
- [c33]Omid Madani, Sai Ankith Averineni, Shashidhar Gandham:
A Dataset of Networks of Computing Hosts. IWSPA@CODASPY 2022: 100-104 - [d2]Omid Madani:
Cisco Secure Workload Networks of Computing Hosts. UCI Machine Learning Repository, 2022
- 2021
- [i7]Omid Madani:
Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts. CoRR abs/2112.09348 (2021) - 2020
- [i6]Omid Madani, Thanh Ngo, Weifei Zeng, Sai Ankith Averine, Sasidhar Evuru, Varun Malhotra, Shashidhar Gandham, Navindra Yadav:
Binomial Tails for Community Analysis. CoRR abs/2012.09968 (2020)
2010 – 2019
- 2019
- [c32]Vimalkumar Jeyakumar, Omid Madani, Ali Parandeh, Ashutosh Kulshreshtha, Weifei Zeng, Navindra Yadav:
ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data. SIGMOD Conference 2019: 333-348 - [i5]Vimalkumar Jeyakumar, Omid Madani, Ali Parandeh, Ashutosh Kulshreshtha, Weifei Zeng, Navindra Yadav:
ExplainIt! - A declarative root-cause analysis engine for time series data (extended version). CoRR abs/1903.08132 (2019) - 2016
- [j8]Omid Madani, Amit Bhattacharjee, Tuhin Das:
Decentralized Power Management in a Hybrid Fuel Cell Ultracapacitor System. IEEE Trans. Control. Syst. Technol. 24(3): 765-778 (2016) - [c31]Vimalkumar Jeyakumar, Omid Madani, Ali ParandehGheibi, Navindra Yadav:
Data Driven Data Center Network Security. IWSPA@CODASPY 2016: 48 - 2013
- [j7]Vita Markman, Georgi Stojanov, Bipin Indurkhya
, Takashi Kido, Keiki Takadama, George Dimitri Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar:
Reports of the 2013 AAAI Spring Symposium Series. AI Mag. 34(3): 93-98 (2013) - [j6]Omid Madani, Manfred Georg, David A. Ross:
On using nearly-independent feature families for high precision and confidence. Mach. Learn. 92(2-3): 457-477 (2013) - [c30]Omid Madani, Tuhin Das:
Decentralized control of a fuel cell ultra-capacitor hybrid network. ACC 2013: 5362-5367 - [d1]Omid Madani:
YouTube Multiview Video Games Dataset. UCI Machine Learning Repository, 2013 - [i4]Omid Madani:
Polynomial Value Iteration Algorithms for Detrerminstic MDPs. CoRR abs/1301.0583 (2013) - 2012
- [c29]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c28]Omid Madani, Manfred Georg, David A. Ross:
On Using Nearly-Independent Feature Families for High Precision and Confidence. ACML 2012: 269-284 - [i3]Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach:
An Empirical Comparison of Algorithms for Aggregating Expert Predictions. CoRR abs/1206.6814 (2012) - [i2]Omid Madani, Daniel J. Lizotte, Russell Greiner:
Active Model Selection. CoRR abs/1207.4138 (2012) - [i1]Daniel J. Lizotte, Omid Madani, Russell Greiner:
Budgeted Learning of Naive-Bayes Classifiers. CoRR abs/1212.2472 (2012) - 2010
- [j5]Omid Madani, Mikkel Thorup, Uri Zwick:
Discounted deterministic Markov decision processes and discounted all-pairs shortest paths. ACM Trans. Algorithms 6(2): 33:1-33:25 (2010) - [c27]Omid Madani, Jiye Yu:
Discovery of numerous specific topics via term co-occurrence analysis. CIKM 2010: 1841-1844
2000 – 2009
- 2009
- [j4]Omid Madani, Michael Connor, Wiley Greiner:
Learning When Concepts Abound. J. Mach. Learn. Res. 10: 2571-2613 (2009) - [c26]Omid Madani, Hung Bui, Eric Yeh:
Prediction and Discovery of Users' Desktop Behavior. AAAI Spring Symposium: Human Behavior Modeling 2009: 49-55 - [c25]Omid Madani, Hung Bui, Eric Yeh:
Efficient Online Learning and Prediction of Users' Desktop Actions. IJCAI 2009: 1457-1462 - [c24]Omid Madani, Mikkel Thorup, Uri Zwick:
Discounted deterministic Markov decision processes and discounted all-pairs shortest paths. SODA 2009: 958-967 - 2008
- [c23]Omid Madani:
Systems Learning for Complex Pattern Problems. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 111-112 - [c22]Jian Huang, Omid Madani, C. Lee Giles:
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization. CIKM 2008: 83-92 - [c21]Omid Madani, Jian Huang:
On updates that constrain the features' connections during learning. KDD 2008: 515-523 - [c20]Omid Madani, Michael Connor:
Large-Scale Many-Class Learning. SDM 2008: 846-857 - 2007
- [c19]Omid Madani:
Exploring Massive Learning via a Prediction System. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development 2007: 46-53 - [c18]Omid Madani:
Prediction Games in Infinitely Rich Worlds. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development 2007: 54-55 - [c17]Omid Madani, Wiley Greiner, David Kempe, Mohammad R. Salavatipour:
Recall Systems: Effcient Learning and Use of Category Indices. AISTATS 2007: 307-314 - 2006
- [j3]Hema Raghavan, Omid Madani, Rosie Jones:
Active Learning with Feedback on Features and Instances. J. Mach. Learn. Res. 7: 1655-1686 (2006) - [c16]Seung-Taek Park, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste:
Naïve filterbots for robust cold-start recommendations. KDD 2006: 699-705 - [c15]Steve Wedig, Omid Madani:
A large-scale analysis of query logs for assessing personalization opportunities. KDD 2006: 742-747 - [c14]Varsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach:
An Empirical Comparison of Algorithms for Aggregating Expert Predictions. UAI 2006 - [c13]Rosie Jones, Benjamin Rey, Omid Madani, Wiley Greiner:
Generating query substitutions. WWW 2006: 387-396 - 2005
- [c12]Giridhar Kumaran, Rosie Jones, Omid Madani:
Biasing web search results for topic familiarity. CIKM 2005: 271-272 - [c11]Hema Raghavan, Omid Madani, Rosie Jones:
InterActive Feature Selection. IJCAI 2005: 841-846 - 2004
- [c10]Omid Madani, Daniel J. Lizotte, Russell Greiner:
The Budgeted Multi-armed Bandit Problem. COLT 2004: 643-645 - [c9]Omid Madani, David M. Pennock, Gary William Flake:
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. NIPS 2004: 873-880 - [c8]Omid Madani, Daniel J. Lizotte, Russell Greiner:
Active Model Selection. UAI 2004: 357-365 - 2003
- [j2]Omid Madani, Steve Hanks, Anne Condon:
On the undecidability of probabilistic planning and related stochastic optimization problems. Artif. Intell. 147(1-2): 5-34 (2003) - [c7]Daniel J. Lizotte, Omid Madani, Russell Greiner:
Budgeted Learning of Naive-Bayes Classifiers. UAI 2003: 378-385 - 2002
- [c6]Omid Madani:
On Policy Iteration as a Newton s Method and Polynomial Policy Iteration Algorithms. AAAI/IAAI 2002: 273-278 - [c5]Ilya Levner, Vadim Bulitko, Omid Madani, Russell Greiner:
Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. SARA 2002: 299-307 - [c4]Omid Madani:
Polynomial Value Iteration Algorithms for Detrerminstic MDPs. UAI 2002: 311-318 - 2000
- [j1]Oren Etzioni, Steve Hanks, Tao Jiang, Omid Madani:
Optimal Information Gathering on the Internet with Time and Cost Constraints. SIAM J. Comput. 29(5): 1596-1620 (2000)
1990 – 1999
- 1999
- [c3]Omid Madani, Steve Hanks, Anne Condon:
On the Undecidability of Probabilistic Planning and Infinite-Horizon Partially Observable Markov Decision Problems. AAAI/IAAI 1999: 541-548 - 1997
- [c2]Oren Zamir, Oren Etzioni, Omid Madani, Richard M. Karp:
Fast and Intuitive Clustering of Web Documents. KDD 1997: 287-290 - 1996
- [c1]Oren Etzioni, Steve Hanks, Tao Jiang, Richard M. Karp, Omid Madani, Orli Waarts:
Efficient Information Gathering on the Internet (extended abstract). FOCS 1996: 234-243
Coauthor Index
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