David Jonathan Miller

    • 1743 Citations
    • 24 h-Index
    1992 …2020

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    2019

    A Benchmark Study of Backdoor Data Poisoning Defenses for Deep Neural Network Classifiers and A Novel Defense

    Xiang, Z., Miller, D. J. & Kesidis, G., Oct 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019. IEEE Computer Society, 8918908. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2019-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Flexible inference for cyberbully incident detection

    Zhong, H., Miller, D. J. & Squicciarini, A., Jan 1 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 356-371 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learned Neural Iterative Decoding for Lossy Image Compression Systems

    Ororbia, A. G., Mali, A., Wu, J., O'Connell, S., Dreese, W., Miller, D. & Giles, C. L., May 10 2019, Proceedings - DCC 2019: 2019 Data Compression Conference. Marcellin, M. W., Bilgin, A., Storer, J. A. & Serra-Sagrista, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3-12 10 p. 8712688. (Data Compression Conference Proceedings; vol. 2019-March).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers

    Wang, Y., Miller, D. J. & Kesidis, G., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8063-8066 4 p. 8682578. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
    2018

    Anomaly detection of attacks (ADA) on DNN classifiers at test time

    Miller, D. J., Wang, Y. & Kesidis, G., Oct 31 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE Computer Society, 8517069. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations

    Locally optimal, delay-tolerant predictive source coding

    Xiang, Z. & Miller, D. J., May 21 2018, 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Toward automated multiparty privacy conflict detection

    Zhong, H., Squicciarini, A. & Miller, D., Oct 17 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, p. 1811-1814 4 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    Unsupervised parsimonious cluster-based anomaly detection (PCAD)

    Miller, D. J., Kesidis, G. & Qiu, Z., Oct 31 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE Computer Society, 8517014. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
    2017

    Adversarial learning: A critical review and active learning study

    Miller, D. J., Hu, X., Qiu, Z. & Kesidis, G., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    A Group-Based personalized model for image privacy classification and labeling

    Zhong, H., Squicciarini, A., Miller, D. & Caragea, C., Jan 1 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3952-3958 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations

    A locally optimal algorithm for estimating a generating partition from an observed time series

    Miller, D. J., Ghalyan, N. F. & Ray, A., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. Ueda, N., Chien, J-T., Matsui, T., Larsen, J. & Watanabe, S. (eds.). IEEE Computer Society, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    A simulation framework for uneconomic virtual bidding in day-ahead electricity markets

    Shan, Y., Lo Prete, C., Kesidis, G. & Miller, D. J., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 2705-2712 8 p. 7963361

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Flow based botnet detection through semi-supervised active learning

    Qiu, Z., Miller, D. J. & Kesidis, G., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2387-2391 5 p. 7952584. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations
    2016

    Exploiting the value of class labels in topic models for semi-supervised document classification

    Soleimani, H. & Miller, D. J., Oct 31 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., p. 4025-4031 7 p. 7727723. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    FASP: A machine learning approach to functional astrocyte phenotyping from time-lapse calcium imaging data

    Wang, Y., Shi, G., Miller, D. J., Wang, Y., Broussard, G., Wang, Y., Tian, L. & Yu, G., Jun 15 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, p. 351-354 4 p. 7493281. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations

    IP-level fast re-routing for robustness to mass failure events using a hybrid bandwidth and reliability cost metric

    Kesidis, G., Miller, D. J. & Qiu, Z., Dec 22 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference. Institute of Electrical and Electronics Engineers Inc., p. 812-816 5 p. 7795429. (Proceedings - IEEE Military Communications Conference MILCOM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semi-supervised multi-label topic models for document classification and sentence labeling

    Soleimani, H. & Miller, D. J., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 105-114 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
    2015

    Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data

    Qiu, Z., Miller, D. J. & Kesidis, G., Nov 10 2015, 2015 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2015. Erdogmus, D., Kozat, S., Larsen, J. & Akcakaya, M. (eds.). IEEE Computer Society, 7324326. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2015-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
    2014

    Actively learning to distinguish suspicious from innocuous anomalies in a batch of vehicle tracks

    Qiu, Z., Miller, D. J., Stieber, B. & Fair, T., Jan 1 2014, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V. SPIE, 90790G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 9079).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Sparse topic models by parameter sharing

    Soleimani, H. & Miller, D. J., Nov 14 2014, IEEE International Workshop on Machine Learning for Signal Processing, MLSP. Adali, T., Larsen, J., Mboup, M. & Moreau, E. (eds.). IEEE Computer Society, 6958911. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2013

    A generative semi-supervised model for multi-view learning when some views are label-free

    Jin, G., Raich, R. & Miller, D. J., Oct 18 2013, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 3302-3306 5 p. 6638269. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Scopus citations

    Defeating tyranny of the masses in crowdsourcing: Accounting for low-skilled and adversarial workers

    Kurve, A., Miller, D. J. & Kesidis, G., Jan 1 2013, Decision and Game Theory for Security - 4th International Conference, GameSec 2013, Proceedings. Springer Verlag, p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8252 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Latent interest-group discovery and management by peer-to-peer online social networks

    He, J., Miller, D. J. & Kesidis, G., Dec 1 2013, Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. p. 162-167 6 p. 6693328. (Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations

    The predictive value of young and old links in a social network

    Chen, H. H., Miller, D. J. & Giles, C. L., Jul 26 2013, Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013. p. 43-48 6 p. (Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks, DBSocial 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
    2012

    Anomaly detection driven active learning for identifying suspicious tracks and events in WAMI video

    Miller, D. J., Natraj, A., Hockenbury, R., Dunn, K., Sheffler, M. & Sullivan, K., Dec 1 2012, Evolutionary and Bio-Inspired Computation: Theory and Applications VI. 840207. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 8402).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Semisupervised domain adaptation for mixture model based classifiers

    Raghuram, J., Miller, D. J. & Kesidis, G., Nov 12 2012, 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012. 6310708. (2012 46th Annual Conference on Information Sciences and Systems, CISS 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sequential anomaly detection in a batch with growing number of tests: Application to network intrusion detection

    Miller, D. J., Kocak, F. & Kesidis, G., Dec 12 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2012. 6349793. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations
    2010

    Feasibility of range estimation using sonar LPI

    Park, J. D., Miller, D. J., Doherty, J. F. & Thompson, S., 2010, 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010. 5464926

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Improved fine-grained component-conditional class labeling with active learning

    Miller, D. J., Lin, C. F., Kesidis, G. & Collins, C. M., Dec 1 2010, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. p. 3-8 6 p. 5708805. (Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2009

    A ground truth based comparative study on detecting epistatic SNPs

    Chen, L., Yu, G., Miller, D. J., Song, L., Langefeld, C., Herrington, D., Liu, Y. & Wang, Y., Dec 1 2009, Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009. p. 26-31 6 p. 5332132. (Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations

    A study on the feasibility of low probability of intercept sonar

    Park, J. D., Miller, D. J., Doherty, J. F. & Thompson, S. C., Oct 12 2009, Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. p. 284-289 6 p. 5054732. (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Hierarchical maximum entropy modeling for regression

    Zhang, Y., Miller, D. J. & Kesidis, G., Dec 1 2009, Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009. 5306225. (Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Learning a highly resolved tree of phenotypes using genomic data clustering

    Feng, Y., Miller, D. J., Clarke, R., Hoffman, E. P. & Wang, Y., Dec 1 2009, Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009. 1 p. 5332074. (Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semisupervised mixture modeling with fine-grained component-conditional class labeling and transductive inference

    Miller, D. J., Lin, C. F., Kesidis, G. & Collins, C. M., Dec 1 2009, Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009. 5306229. (Machine Learning for Signal Processing XIX - Proceedings of the 2009 IEEE Signal Processing Society Workshop, MLSP 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
    2008

    A transductive extension of maximum entropy/iterative scaling for decision aggregation in distributed classification

    Miller, D. J., Zhang, Y. & Kesidis, G., Sep 16 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. p. 1865-1868 4 p. 4517997

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    SVM margin-based feature elimination applied to high-dimensional microarray gene expression data

    Zhang, Y., Aksu, Y., Kesidis, G., Miller, D. J. & Wang, Y., Dec 1 2008, Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008. p. 97-102 6 p. 4685462. (Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
    2007

    A system for vehicle recognition in video based on SIFT features, mixture models, and support vector machines

    Nag, A., Miller, D. J., Brown, A. P. & Sullivan, K. J., Nov 15 2007, Intelligent Computing: Theory and Applications V. 65600G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 6560).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Combined generative-discriminative learning for object recognition using local image descriptors

    Nag, A., Miller, D. J., Brown, A. P. & Sullivan, K. J., Dec 1 2007, Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. p. 360-365 6 p. 4414333

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations

    New directions in covert malware modeling which exploit white-listing

    Wang, J., Kesidis, G. & Miller, D. J., Dec 1 2007, 2007 IEEE Sarnoff Symposium, SARNOFF. 4567340. (2007 IEEE Sarnoff Symposium, SARNOFF).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Scalable, efficient, stepwise-optimal feature elimination in support vector machines

    Aksu, Y., Kesidis, G. & Miller, D. J., Dec 1 2007, Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. p. 75-80 6 p. 4414285. (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
    2006

    A maximum entropy based approach to fault diagnosis using discrete and continuous features

    Zhang, X., Miller, D., Xu, R., Kwan, C. & Chen, H., Dec 1 2006, 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006. PART 1 ed. p. 438-443 6 p. (IFAC Proceedings Volumes (IFAC-PapersOnline); vol. 6, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Constraint-based, transductive learning for distributed ensemble classification

    Miller, D. J., Pal, S. & Wang, Y., Jan 1 2006, Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006. IEEE Computer Society, p. 15-20 6 p. 4053613. (Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Feature-aided multiple target tracking in the image plane

    Brown, A. P., Sullivan, K. J. & Miller, D. J., Sep 14 2006, Intelligent Computing: Theory and Applications IV. 62290Q. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 6229).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    21 Scopus citations

    Learning the tree of phenotypes using genomic data and VISDA

    Feng, Y., Wang, Z., Zhu, Y., Xuan, J., Miller, D. J., Clarke, R., Hoffman, E. P. & Wang, Y., Dec 1 2006, Proceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006. p. 165-170 6 p. 4019655. (Proceedings - Sixth IEEE Symposium on BioInformatics and BioEngineering, BIBE 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations

    Phenotypic-specific gene module discovery using a diagnostic tree and caBIG™ VISDA

    Zhu, Y., Wang, Z., Feng, Y., Xuan, J., Miller, D. J., Hoffman, E. P. & Wang, Y., Dec 1 2006, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. p. 5767-5770 4 p. 4029547. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations

    Polymorphic worm detection and defense: System design, experimental methodology, and data resources

    Wang, J., Hamadeh, L., Kesidis, G. & Miller, D. J., Dec 1 2006, Proceedings of the 2006 SIGCOMM Workshop on Large-scale Attack Defense, LSAD'06. p. 169-176 8 p. (Proceedings of the 2006 SIGCOMM Workshop on Large-scale Attack Defense, LSAD'06; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    12 Scopus citations

    Transductive methods for distributed ensemble classification

    Miller, D. J. & Pal, S., Jan 1 2006, 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1605-1610 6 p. 4068058. (2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
    2005

    An extension of iterative scaling for joint decision-level and feature-level fusion in ensemble classification

    Miller, D. J. & Pal, S., Dec 1 2005, 2005 IEEE Workshop on Machine Learning for Signal Processing. p. 61-66 6 p. 1532875. (2005 IEEE Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations

    Hierarchical shaped deficit round-robin scheduling

    Jiwasurat, S., Kesidis, G. & Miller, D. J., Dec 1 2005, GLOBECOM'05: IEEE Global Telecommunications Conference, 2005. p. 688-693 6 p. 1577729. (GLOBECOM - IEEE Global Telecommunications Conference; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations

    Semisupervised learning of mixture models with class constraints

    Zhao, Q. & Miller, D. J., Jan 1 2005, 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions. Institute of Electrical and Electronics Engineers Inc., 1416271. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. V).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations