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Michael Baron
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2020 – today
- 2022
- [j2]Roberto Corizzo, Michael Baron, Nathalie Japkowicz:
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection. Knowl. Based Syst. 247: 108756 (2022) - [c10]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c9]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c8]Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
LIFEWATCH: Lifelong Wasserstein Change Point Detection. IJCNN 2022: 1-8 - [i2]Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. CoRR abs/2201.07125 (2022) - [i1]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [c7]Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. IEEE BigData 2021: 4450-4459
2010 – 2019
- 2016
- [c6]Ahsanul Haque, Latifur Khan, Michael Baron:
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream. AAAI 2016: 1652-1658 - [c5]Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal:
Efficient handling of concept drift and concept evolution over Stream Data. ICDE 2016: 481-492 - 2015
- [c4]Ahsanul Haque, Latifur Khan, Michael Baron:
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream. PAKDD (2) 2015: 383-394 - 2014
- [c3]Ahsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron:
MapReduce guided approximate inference over graphical models. CIDM 2014: 446-453 - [c2]Ahmad Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham:
Evolving stream classification using change detection. CollaborateCom 2014: 154-162 - 2011
- [j1]João W. Cangussu, Syed Waseem Haider, Kendra M. L. Cooper, Michael Baron:
On the selection of software defect estimation techniques. Softw. Test. Verification Reliab. 21(2): 125-152 (2011)
2000 – 2009
- 2006
- [c1]João W. Cangussu, Michael Baron:
Automatic Identification of Change Points for the System Testing Process. COMPSAC (1) 2006: 377-384
Coauthor Index
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