Michael Baron

14 papers A* 2B 1C 2Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection.
Knowl. Based Syst.
Roberto Corizzo, Michael Baron, Nathalie Japkowicz
2022 B conf
LIFEWATCH: Lifelong Wasserstein Change Point Detection.
IJCNN
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2022 — conf
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoLLAs
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
2022 — conf
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
AIMLSystems
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
2022 J jnl
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
CoRR
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
2022 J jnl
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
CoRR
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2021 — conf
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
IEEE BigData
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2016 A* conf
Efficient handling of concept drift and concept evolution over Stream Data.
ICDE
Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal
2016 A* conf
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream.
AAAI
Ahsanul Haque, Latifur Khan, Michael Baron
2015 — conf
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream.
PAKDD (2)
Ahsanul Haque, Latifur Khan, Michael Baron
2014 C conf
Evolving stream classification using change detection.
CollaborateCom
Ahmad Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham
2014 C conf
MapReduce guided approximate inference over graphical models.
CIDM
Ahsanul Haque, Swarup Chandra, Latifur Khan, Michael Baron
2011 J jnl
On the selection of software defect estimation techniques.
Softw. Test. Verification Reliab.
João W. Cangussu, Syed Waseem Haider, Kendra M. L. Cooper, Michael Baron
2006 — conf
Automatic Identification of Change Points for the System Testing Process.
COMPSAC (1)
João W. Cangussu, Michael Baron