Stefan C. Kremer

Orcid: 0000-0002-3667-4379

According to our database1, Stefan C. Kremer authored at least 57 papers between 1995 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
End-to-end chromosomal compartment prediction from reference genomes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

2019
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer.
CoRR, 2019

2018
Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data.
CoRR, 2018

Network intrusion detection system based on recursive feature addition and bigram technique.
Comput. Secur., 2018

Deep Learning Object Detection Methods for Ecological Camera Trap Data.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018

A Survey and Taxonomy on Data and Pre-processing Techniques of Intrusion Detection Systems.
Proceedings of the Computer and Network Security Essentials., 2018

A Survey and Taxonomy of Classifiers of Intrusion Detection Systems.
Proceedings of the Computer and Network Security Essentials., 2018

A Survey and Comparison of Performance Evaluation in Intrusion Detection Systems.
Proceedings of the Computer and Network Security Essentials., 2018

2016
Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

2015
A new Canadian interdisciplinary Ph.D. in computational sciences.
J. Comput. Sci., 2015

A dynamic representation-based, de novo method for protein-coding region prediction and biological information detection.
Digit. Signal Process., 2015

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Heterogeneous wireless network RAT selection with multiple operators and service contracts.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Protein secondary structure prediction using an evolutionary computation method and clustering.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

A multi-stage protein secondary structure prediction system using machine learning and information theory.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A survey of QoS/QoE mechanisms in heterogeneous wireless networks.
Phys. Commun., 2014

An Accurate, Fast Embedded Feature Selection for SVMs.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience.
Proceedings of the IEEE International Conference on Communications, 2014

A New, Dynamic-Representation-Based Gene Finding Method with an Analysis of False Positive Peaks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3.
Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014

2013
Neural Networks in Bioinformatics.
Proceedings of the Handbook on Neural Information Processing, 2013

Recurrent Neural Networks.
Proceedings of the Handbook on Neural Information Processing, 2013

2012
Sequence learning: analysis and solutions for sparse data in high dimensional spaces.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Protein secondary structure prediction using support vector machines and a codon encoding scheme.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

A brief comparison of DSP and HMM methods for gene finding.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Gene Prediction Based on DNA Spectral Analysis: A Literature Review.
J. Comput. Biol., 2011

Protein coding region prediction based on the adaptive representation method.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Amino acid encoding schemes for machine learning methods.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Regularization of sequence data for machine learning.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization.
BMC Bioinform., 2010

Theoretical justification of computing the 3-base periodicity using nucleotide distribution variance.
Biosyst., 2010

2009
Neural Grammar Networks.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

09081 Summary - Similarity-based learning on structures.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

09081 Abstracts Collection - Similarity-based learning on structures.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

Neural Grammar Networks in QSAR Chemistry.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2007
Spatio-Temporal Connectionist Networks.
Proceedings of the Handbook of Dynamic System Modeling., 2007

2006
Neural and Statistical Classification to Families of Bio-sequences.
Proceedings of the International Joint Conference on Neural Networks, 2006

General Fuzzy Automata, New Efficient Acceptors for Fuzzy Languages.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Fuzzy Grammar Induction from Large Corpora.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
New directions in fuzzy automata.
Int. J. Approx. Reason., 2005

Biological Sequence Prediction using General Fuzzy Automata.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2003
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case.
Neural Comput., 2003

Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results.
J. Mach. Learn. Res., 2003

2002
Beyond EDSM.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

2001
Spatiotemporal Connectionist Networks: A Taxonomy and Review.
Neural Comput., 2001

Introduction By Guest Editors: Non-Gradient Learning Techniques.
Int. J. Neural Syst., 2001

1999
Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines.
IEEE Trans. Neural Networks, 1999

1998
Dynamical Recurrent Networks for Sequential Data Processing.
Proceedings of the Hybrid Neural Systems, 1998

1997
Parallel stochastic grammar induction.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Natural properties in an artificial neural network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution".
IEEE Trans. Neural Networks, 1996

1995
On the computational power of Elman-style recurrent networks.
IEEE Trans. Neural Networks, 1995

Finite State Automata that Recurrent Cascade-Correlation Cannot Represent.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995


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