![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Mark J. Embrechts
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2010 – 2019
- 2014
- [j16]Mark J. Embrechts, Fabrice Rossi
, Frank-Michael Schleif
, John Aldo Lee
:
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013). Neurocomputing 141: 1-2 (2014) - [c37]Christopher J. Gatti, Mark J. Embrechts:
An application of the temporal difference algorithm to the truck backer-upper problem. ESANN 2014 - [c36]Jorge M. Santos
, Mark J. Embrechts:
A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices. MCPR 2014: 41-50 - 2013
- [j15]Jonathan D. Linton
, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Discussion of Kapsiz, M., Durat, M., Ficici, F. (2011). Friction and wear studies between cylinder liner and piston ring pair using Taguchi design method. Advances in Engineering Software, 42(8), 595-603. Adv. Eng. Softw. 64: 71-73 (2013) - [j14]Jonathan D. Linton
, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Erratum to "Multi-attribute decision making for green electrical discharge machining" [Expert Syst. Appl. 38(7) (2011) 8370-8374]. Expert Syst. Appl. 40(4): 1407 (2013) - [j13]Jonathan D. Linton
, Quanhong Jiang, Christopher J. Gatti, Mark J. Embrechts:
Erratum to "Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel" [Exp. Syst. Appl. 38(6) (2011) 6822-6828]. Expert Syst. Appl. 40(4): 1408-1409 (2013) - [j12]Paulo Cortez
, Mark J. Embrechts:
Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. 225: 1-17 (2013) - [c35]Mark J. Embrechts, Jonathan D. Linton, Jorge M. Santos:
Random Brains: An ensemble method for feature selection with neural networks. ESANN 2013 - [c34]Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton:
An empirical analysis of reinforcement learning using design of experiments. ESANN 2013 - 2012
- [c33]Mark J. Embrechts, Jonathan D. Linton, Christopher J. Gatti:
Hybrid hierarchical clustering: cluster assessment via cluster validation indices. ESANN 2012 - [c32]Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton
, Thiemo Gruber, Bernhard Sick
:
Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. IJCNN 2012: 1-8 - 2011
- [c31]Paulo Cortez
, Mark J. Embrechts:
Opening black box Data Mining models using Sensitivity Analysis. CIDM 2011: 341-348 - [c30]Christopher J. Gatti, Jonathan D. Linton, Mark J. Embrechts:
A brief tutorial on reinforcement learning: The game of Chung Toi. ESANN 2011 - [c29]Christopher J. Gatti, Mark J. Embrechts, Jonathan D. Linton
:
Reinforcement learning and the effects of parameter settings in the game of Chung Toi. SMC 2011: 3530-3535 - 2010
- [c28]Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton:
An augmented efficient backpropagation training strategy for deep autoassociative neural networks. ESANN 2010 - [c27]Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton
:
Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c26]Mark J. Embrechts, Luís A. Alexandre, Jonathan D. Linton:
Reservoir computing for static pattern recognition. ESANN 2009 - [c25]Jorge M. Santos
, Mark J. Embrechts:
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. ICANN (2) 2009: 175-184 - [c24]Luís A. Alexandre
, Mark J. Embrechts:
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems. ICANN (1) 2009: 1015-1024 - [c23]Luís A. Alexandre
, Mark J. Embrechts, Jonathan D. Linton
:
Benchmarking reservoir computing on time-independent classification tasks. IJCNN 2009: 89-93 - 2008
- [j11]Tanawut Tantimongcolwat
, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya
, Mark J. Embrechts, Virapong Prachayasittikul:
Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. Comput. Biol. Medicine 38(7): 817-825 (2008) - [j10]Ismael E. Arciniegas Rueda, Fabio A. Arciniegas, Mark J. Embrechts:
Analyzing currency crises' real effects with partial least squares sensitivity analysis. Intell. Data Anal. 12(1): 103-128 (2008) - [c22]Luís M. Silva
, Mark J. Embrechts, Jorge M. Santos
, Joaquim Marques de Sá:
The Influence of the Risk Functional in Data Classification with MLPs. ICANN (1) 2008: 185-194 - 2007
- [c21]Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
:
Some Properties of the Gaussian Kernel for One Class Learning. ICANN (1) 2007: 269-278 - [c20]Mark J. Embrechts, Jonathan D. Linton, Walter F. L. Bogaerts
, Bram Heyns, Paul F. Evangelista:
Automated Text Categorization Based on Readability Fingerprints. ICANN (2) 2007: 408-416 - [c19]Changjian Huang, Mark J. Embrechts, Nagamani Sukumar, Curt M. Breneman:
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR). ICANN (1) 2007: 628-637 - 2006
- [j9]Neil H. W. Eklund, Mark J. Embrechts, Marc Goetschalckx:
Efficient chromosome encoding and problem-specific mutation methods for the flexible bay facility layout problem. IEEE Trans. Syst. Man Cybern. Syst. 36(4): 495-502 (2006) - [c18]Long Han, Mark J. Embrechts, Boleslaw K. Szymanski
, Karsten Sternickel, Alexander Ross:
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms. ESANN 2006: 221-226 - [c17]Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
:
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions. IJCNN 2006: 2166-2173 - [c16]Long Han, Mark J. Embrechts, Yunqing Chen, Xicheng Zhang:
Kernel Partial Least Squares for the Identification of Mixture Content from TeraHertz Spectra. IJCNN 2006: 3181-3187 - [p2]Mark J. Embrechts, Robert A. Bress, Robert H. Kewley:
Feature Selection via Sensitivity Analysis with Direct Kernel PLS. Feature Extraction 2006: 447-462 - 2005
- [c15]Walker H. Land Jr., Mark J. Embrechts, Frances R. Anderson, Tom Smith, Lut Wong, Stephen Fahlbusch, Robert Choma:
Integrating knowledge representation/engineering, the multivariant PNN, and machine learning to improve breast cancer diagnosis. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005: 226-231 - [c14]Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski
:
unsupervised fuzzy ensembles and their use in intrusion detection. ESANN 2005: 345-350 - [c13]Walker H. Land, John J. Heine, Mark J. Embrechts, Tom Smith, Robert Choma, Lut Wong:
New approach to breast cancer CAD using partial least squares and kernel-partial least squares. Medical Imaging: Image Processing 2005 - 2004
- [j8]Omowunmi Sadik, Walker H. Land Jr., Adam K. Wanekaya, Michiko Uematsu, Mark J. Embrechts, Lut Wong, Dale Leibensperger, Alex Volykin:
Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors. J. Chem. Inf. Model. 44(2): 499-507 (2004) - [j7]Wei Deng, Curt M. Breneman, Mark J. Embrechts:
Predicting Protein-Ligand Binding Affinities Using Novel Geometrical Descriptors and Machine-Learning Methods. J. Chem. Inf. Model. 44(2): 699-703 (2004) - [j6]Mark J. Embrechts, Sándor Benedek:
Hybrid identification of nuclear power plant transients with artificial neural networks. IEEE Trans. Ind. Electron. 51(3): 686-693 (2004) - [j5]Ismael E. Arciniegas Rueda, Fabio A. Arciniegas, Mark J. Embrechts:
SVM sensitivity analysis: an application to currency crises aftermaths. IEEE Trans. Syst. Man Cybern. Part A 34(3): 387-398 (2004) - [c12]Walker H. Land Jr., Lut Wong, Daniel W. McKee, Mark J. Embrechts, Rizly Salih, Frances R. Anderson:
Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data. CBMS 2004: 224- - [c11]Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski
:
Taming the Curse of Dimensionality in Kernels and Novelty Detection. WSC 2004: 425-438 - [p1]Mark J. Embrechts, Boleslaw K. Szymanski
, Karsten Sternickel:
Introduction to Scientific Data Mining: Direct Kernel Methods and Applications. Computationally Intelligent Hybrid Systems 2004: 317-362 - 2003
- [j4]Curt M. Breneman, C. Matthew Sundling, Nagamani Sukumar
, Lingling Shen, William P. Katt
, Mark J. Embrechts:
New developments in PEST shape/property hybrid descriptors. J. Comput. Aided Mol. Des. 17(2-4): 231-240 (2003) - [j3]Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song:
Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. 3: 1229-1243 (2003) - [c10]Mark J. Embrechts, Boleslaw K. Szymanski
, Karsten Sternickel, Thanakorn Naenna, Ramathilagam Bragaspathi:
Use of machine learning for classification of magnetocardiograms. SMC 2003: 1400-1405 - [c9]Walker H. Land Jr., Dale Leibensperger, Lut Wong, Omowunmi Sadik, A. Wanekeyab, Michiko Uematsu, Mark J. Embrechts:
New results using multi array sensors and support vector machines for the detection and classification of organophosphate nerve agents. SMC 2003: 2883-2888 - 2002
- [j2]Robert H. Kewley, Mark J. Embrechts:
Computational military tactical planning system. IEEE Trans. Syst. Man Cybern. Part C 32(2): 161-171 (2002) - [c8]Kristin P. Bennett, Michinari Momma, Mark J. Embrechts:
MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31 - 2001
- [c7]Neil H. W. Eklund, Mark J. Embrechts:
Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. EMO 2001: 603-611 - [c6]Mark J. Embrechts:
Computational intelligence for data mining. SMC 2001: 1484 - [c5]Ismael E. Arciniegas Rueda, Betty Daniel, Mark J. Embrechts:
Exploring Financial Crises Data with Self-Organizing Maps (SOM). WSOM 2001: 39-46 - 2000
- [j1]Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman:
Data strip mining for the virtual design of pharmaceuticals with neural networks. IEEE Trans. Neural Networks Learn. Syst. 11(3): 668-679 (2000) - [c4]Fabio A. Arciniegas, Mark J. Embrechts:
Phoneme Recognition with Staged Neural Networks. IJCNN (5) 2000: 259-264 - [c3]Mark J. Embrechts, Dirk Devogelaere, Marcel Rijckaert:
Supervised Scaled Regression Clustering: An Alternative to Neural Networks. IJCNN (6) 2000: 571-576 - [c2]Mark J. Embrechts, Fabio A. Arciniegas:
Neural networks for text-to-speech phoneme recognition. SMC 2000: 3582-3587
1990 – 1999
- 1998
- [c1]Robert H. Kewley, Mark J. Embrechts:
Fuzzy-genetic decision optimization for positioning of military combat units. SMC 1998: 3658-3663
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:37 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint