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> Articles de revues scientifiques
> Brevets
> Présentations sur invitation
> Posters de conférences

Articles de revues scientifiques:

[20] Piotr Mirowski, Sining Chen, Tin Kam Ho, Chun-Nam Yu, Demand Forecasting in Smart Grids, Bell Labs Technical Journal, 18(4), pp.135-158, 2014 (article).

[19] Piotr Mirowski, Dimitrios Milioris, Philip Whiting, Tin Kam Ho, Probabilistic Radio-Frequency Fingerprinting and Localization on the Run, Bell Labs Technical Journal, 18(4), pp.111-133, 2014 (article).

[18] Piotr Mirowski, Tin Kam Ho, Saehoon Yi, SignalSLAM: Simultaneous Localization and Mapping with Mixed WiFi, Bluetooth, LTE and Magnetic Signals, International Conference on Indoor Positioning and Indoor Navigation, Montbeliard 2013 (article, diapos).

[17] Piotr Mirowski, Philip Whiting, Harald Steck, Ravishankar Palaniappan, Michael MacDonald, Detlef Hartmann, Tin Kam Ho, Probability kernel regression for WiFi localisation, Journal of Location-Based Services, 2012 (lien, article).

[16] Piotr Mirowski, Ravishankar Palaniappan, Tin Kam Ho, Depth camera SLAM on a low-cost WiFi mapping robot, International Conference on Technologies for Practical Robot Applications (TePRA), April 2012 (lien, article).

[15] Piotr Mirowski, Yann LeCun, Statistical Machine Learning and Dissolved Gas Analysis: A Review, IEEE Transactions on Power Delivery, 2012 (lien, article).

[14] Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho, KL-Divergence Kernel Regression for Non-Gaussian Fingerprint Based Localization, International Conference on Indoor Positioning and Indoor Navigation, Guimaraes, September 2011 (article court, article long).

[13] Ravishankar Palaniappan, Piotr Mirowski, Tin Kam Ho, Harald Steck, Philip Whiting, Michael MacDonald, Autonomous RF Surveying Robot for Indoor Localization and Tracking, International Conference on Indoor Positioning and Indoor Navigation, Guimaraes, September 2011 (article court).

[12] Piotr Mirowski, Marc'Aurelio Ranzato, Yann LeCun, Dynamic Auto-Encoders for Semantic Indexing, Neural Information Processing Systems (NIPS) Workshop on Deep Learning and Unsupervised Learning, Vancouver, December 2010 (lien).

[11] Nandor Ludvig, Hong Tang, N. Sertac Artan, Piotr Mirowski, Geza Medveczky, Shirn Baptiste, Sindhu Darisi, Ruben Kuzniecky, Orrin Devinsky, Jacqueline French, Transmeningeal muscimol can prevent focal EEG seizures in the rat neocortex without stopping multineuronal activity in the treated area, Brain Research, 1385, pp.182-191, 2011 (lien).

[10] Gabriel Krouk, Piotr Mirowski, Yann LeCun, Dennis Shasha, Gloria Coruzzi, Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate, Genome Biology, 11, R123, 2010 (lien, code et données).

[9] Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore, Feature-Rich Continuous Language Models for Speech Recognition, IEEE Workshop on Spoken Language Technology, Berkeley, December 2010 (lien, télécharger).

[8] Piotr Mirowski, Yann LeCun, Deepak Madhavan, Ruben Kuzniecky, Classification of Patterns of EEG Synchronization for Seizure Prediction, Clinical Neurophysiology, doi:10.1016/j.clinph.2009.09.002, 2009 (télécharger).

[7] Piotr Mirowski, Yann LeCun, Dynamic Factor Graphs for Time Series Modeling, Lecture Notes in Artificial Intelligence, 5782, pp.128-143, 2009 (lien).

[6] Piotr Mirowski, Yann LeCun, Deepak Madhavan, Ruben Kuzniecky, Comparing SVM and Convolutional Networks for Epileptic Seizure Prediction from Intracranial EEG, IEEE International Workshop on Machine Learning for Signal Processing, Cancun, October 2008 (lien, télécharger).

[5] Piotr Mirowski, Daniel Tetzlaff, Roy Davies, David McCormick, Nneka Williams, Claude Signer, Stationarity Scores on Training Images for Multipoint Geostatistics, Mathematical Geosciences, vol.41, n.4, May 2009 (lien).

[4] Piotr Mirowski, Daniel Tetzlaff, Retrieving Scale from Quasi-Stationary Images, Pattern Recognition Letters, vol.29, n.6, April 2008 (lien, télécharger manuscript).

[3] Deepak Madhavan, Piotr Mirowski, Nandor Ludvig, Chad Carlson, Werner Doyle, Orrin Devinsky, Ruben Kuzniecky, Effects of the subdural application of lidocaine on EEG spiking in patients with focal epilepsy, Epilepsy Research, vol.78, n.2-3, pp.235-239, January 2008 (lien).

[2] Piotr Mirowski, Deepak Madhavan, Yann LeCun, Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation, Association for the Advancement of Artificial Intelligence Conference, Vancouver, July 2007 (lien).

[1] Daniel Tetzlaff, Roy Davies, David McCormick, Claude Signer, Piotr Mirowski, Nneka Williams, David Hodgson, Jim Brady, Applications of Multipoint Geostatistics to Honor Multiple Attribute Constraints Applied to a Deepwater Outcrop Analog, SEG Annual Meeting, Houston, November 2005 (télécharger, lien).

Brevets:

[7] Piotr Mirowski, Tin Kam Ho, William M. MacDonald, Simultaneous Localization and Mapping Systems and Methods, US Patent Application 814933-US-NP, filed in October, 2013.

[6] Doohee Yun, Piotr Mirowski, Hyunseok Chang, T.V. Lakshman, Localization Systems and Methods, US Patent Application 813944-US-NP, filed in April, 2013.

[5] Piotr Mirowski, Harald Steck, Philip Whiting, Ravishankar Palaniappan, Michael MacDonald, Tin Kam Ho, KL-divergence Kernel Regression for Non-Gaussian Fingerprint Based Localization, US Patent 8,463,291, granted on June 11, 2013.

[4] Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore, System and Method for Feature-Rich Continuous Space Language Models, US Patent Application 20120150532, filed in December 2010.

[3] Piotr Mirowski, Yann LeCun, Deepak Madhavan, Ruben Kuzniecky, Method, System and Computer-Accessible Medium Classification of at Least One Ictal State, US Patent Publication 20110218950, filed in June 2009.

[2] Piotr Mirowski, Daniel Tetzlaff, David McCormick, Nneka Williams, Claude Signer, Computer-based generation and validation of training images for multipoint geostatistical analysis, US Patent 7,630,517, granted on December 8, 2009.

[1] Piotr Mirowski, System and method for inferring geological classes, UK Patent GB2397664, granted on April 20, 2005, US Patent US7433851, granted on October 7, 2008.

Présentations sur invitation:

[6] Indoor Mapping and Localization in a Non-Gaussian World,
DIMACS Center for Discrete Mathematics, Piscataway, NJ, 2012,
New Jersey Institute of Technology, Newark, NJ, October 2012.

[5] Indoor Mapping and Localization in a Non-Gaussian World,
Stevens Institute of Technology, Hoboken, NJ, May 2012,
IEEE Computational Society meeting, Fordham University, New York, NY, March 2012.

[4] Dynamic Factor Graphs for Time Series Modeling,
Bell Labs, Murray Hill, NJ, February 12, 2010.
IBM Watson Research, Yorktown Heights, NY, October 9, 2009 and February 19, 2010.
Rutgers University, Piscataway, NJ, December 11, 2009.

[3] Epileptic Seizure Prediction and Time Series Modeling, Schlumberger Boston Research, Cambridge, MA, December 7, 2009.

[2] Machine Learning Based Classification of Patterns of EEG synchronization for Seizure Prediction, International Workshop in Seizure Prediction IWSP4, Kansas City, MO, June 5, 2009.

[1] Comparing SVM and Convolutional Networks for Epileptic Seizure Prediction from Intracranial EEG, Center for Computational Learning Systems CCLS, Columbia University, New York, NY, December 2, 2008.

Posters de conférences:

[13] Piotr Mirowski, Sumit Chopra, Suhrid Balakrishnan, Srinivas Bangalore, Feature-Rich Continuous Language Models for Speech Recognition, Machine Learning Symposium of the New York Academy of Sciences New York, November 2010.

[12] Sertac Artan, Piotr Mirowski, Hai Tang, Geza Medveczky, Shirn Baptiste, Jonathan Chao, Orinn Devinsky, Ruben Kuzniecky, Nandor Ludvig, Detecting Abnormally Large-Amplitude Multi-Neuron Bursts Before Focal Neocortical EEG Seizure Onset in Freely Behaving Rats, American Epilepsy Society Annual Meeting, Boston, December 2009 (lien).

[11] Piotr Mirowski, Gabriel Krouk, Yann LeCun, Dennis Shasha, Gloria Coruzzi, Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate, Machine Learning Symposium of the New York Academy of Sciences, New York, November 2009.

[10] Hai Tang, Piotr Mirowski, Shirn Baptiste, Orinn Devinsky, Ruben Kuzniecky, Nandor Ludvig, Evidence for increased neuronal electrophysiological activity before EEG seizure onset in the rat neocortical seizure focus, American Epilepsy Society Annual Meeting, Seattle, December 2008 (lien).

[9] Piotr Mirowski, Deepak Madhavan, Yann LeCun, Ruben Kuzniecky, Seizure Prediction Using Machine Learning on Bivariate Features from EEG, American Epilepsy Society Annual Meeting, Seattle, December 2008 (lien).

[8] Piotr Mirowski, Yann LeCun, A Dynamical Factor Graph with Latent Variables for Time Series Prediction, Machine Learning Symposium of the New York Academy of Sciences, New York, October 2008.

[7] Piotr Mirowski, Yann LeCun, Deepak Madhavan, Ruben Kuzniecky, Comparing SVM and Convolutional Networks for Epileptic Seizure Prediction from Intracranial EEG, Machine Learning Symposium of the New York Academy of Sciences, New York, October 2008.

[6] Piotr Mirowski, Deepak Madhavan, Yann LeCun, Ruben Kuzniecky, Analysis of Ictal Dynamics Using Generative Neural Networks, American Epilepsy Society Annual Meeting, Philadelphia, December 2007 (lien).

[5] Deepak Madhavan, Piotr Mirowski, Nandor Ludvig, Chad Carlson, Orrin Devinsky, Werner Doyle, Ruben Kuzniecky, Effects of the subdural application of lidocaine on EEG spiking in patients with focal epilepsy, American Epilepsy Society Annual Meeting, Philadelphia, December 2007 (lien).

[4] Deepak Madhavan, Piotr Mirowski, Howard L. Weiner, Orrin Devinsky, Ruben Kuzniecky, Characterization of Epileptogenic Networks in Tuberous Sclerosis Using Independent Component Analysis, American Academy of Neurology Annual Meeting, Boston, April-May 2007.

[3] Deepak Madhavan, Piotr Mirowski, Yann LeCun, Ruben Kuzniecky, Prediction and Analysis of Ictal Dynamics using Computational Neural Networks, American Epilepsy Society Annual Meeting, San Diego, December 2006 (lien, télécharger poster: gauche, droite, addendum).

[2] Piotr Mirowski, Michael Herron, Nikita Seleznev, Sam Fluckiger, David McCormick, New Software for Well-to-Well Correlation of Spectroscopy Logs, AAPG International Conference and Exhibition, Paris, September 2005 (télécharger).

[1] Piotr Mirowski, David McCormick, Inferring Lithofacies from Well Logs by Applying Neural Network Classifiers, AAPG International Conference and Exhibition, Barcelona, September 2003 (lien).