Stefan C. Kremer

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 11

Top Topics

Protein Secondary Structure Prediction

Object Detection

Machine Learning

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Haleema Sheraz, Stefan C. Kremer, Joshua August Gus Skorburg, Graham W. Taylor, Walter Sinnott-Armstrong, Kyle Boerstler
Towards Stable Preferences for Stakeholder-aligned Machine Learning. CoRR (2024)
Matthew Kirchhof, Christopher J. F. Cameron, Stefan C. Kremer
End-to-end chromosomal compartment prediction from reference genomes. BIBM (2021)
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. WACV Workshops (2020)
Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. CoRR (2019)
Tarfa Hamed, Rozita Dara, Stefan C. Kremer
Network intrusion detection system based on recursive feature addition and bigram technique. Comput. Secur. 73 (2018)
Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. CoRR (2018)
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
Deep Learning Object Detection Methods for Ecological Camera Trap Data. CoRR (2018)
Eddie Y. T. Ma, Sujeevan Ratnasingham, Stefan C. Kremer
Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (1) (2018)
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
Deep Learning Object Detection Methods for Ecological Camera Trap Data. CRV (2018)
Masood Zamani, Stefan C. Kremer
Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes. CIBCB (2016)
Sajid A. Marhon, Stefan C. Kremer
Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)
Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints. SAC (2015)
Masood Zamani, Stefan C. Kremer
A multi-stage protein secondary structure prediction system using machine learning and information theory. BIBM (2015)
Sajid A. Marhon, Stefan C. Kremer
A dynamic representation-based, de novo method for protein-coding region prediction and biological information detection. Digit. Signal Process. 46 (2015)
Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
Heterogeneous wireless network RAT selection with multiple operators and service contracts. ICC (2015)
William B. Gardner, Gary Gréwal, Deborah Stacey, David A. Calvert, Stefan C. Kremer, Fangju Wang
A new Canadian interdisciplinary Ph.D. in computational sciences. J. Comput. Sci. 9 (2015)
Masood Zamani, Stefan C. Kremer
Protein secondary structure prediction using an evolutionary computation method and clustering. CIBCB (2015)
Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3. AINA (2014)
Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
A survey of QoS/QoE mechanisms in heterogeneous wireless networks. Phys. Commun. 13 (2014)
Tarfa Hamed, Rozita Dara, Stefan C. Kremer
An Accurate, Fast Embedded Feature Selection for SVMs. ICMLA (2014)
Sajid A. Marhon, Stefan C. Kremer
A New, Dynamic-Representation-Based Gene Finding Method with an Analysis of False Positive Peaks. BIBE (2014)
Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience. ICC (2014)
(Zhou) Bryan Bai, Stefan C. Kremer
Sequence learning: analysis and solutions for sparse data in high dimensional spaces. CIBCB (2012)
Sajid Marhon, Stefan C. Kremer
A brief comparison of DSP and HMM methods for gene finding. BCB (2012)
Masood Zamani, Stefan C. Kremer
Protein secondary structure prediction using support vector machines and a codon encoding scheme. BIBM Workshops (2012)
Masood Zamani, Stefan C. Kremer
Amino acid encoding schemes for machine learning methods. BIBM Workshops (2011)
Sajid Marhon, Stefan C. Kremer
Protein coding region prediction based on the adaptive representation method. CCECE (2011)
Sajid Marhon, Stefan C. Kremer
Gene Prediction Based on DNA Spectral Analysis: A Literature Review. J. Comput. Biol. 18 (4) (2011)
(Zhou) Bryan Bai, Stefan C. Kremer
Regularization of sequence data for machine learning. BIBM Workshops (2011)
Sajid Marhon, Stefan C. Kremer
Theoretical justification of computing the 3-base periodicity using nucleotide distribution variance. Biosyst. 101 (3) (2010)
Eddie Y. T. Ma, Christopher J. F. Cameron, Stefan C. Kremer
Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization. BMC Bioinform. 11 (S-8) (2010)
Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
09081 Summary - Similarity-based learning on structures. Similarity-based learning on structures (2009)
Eddie Y. T. Ma, Stefan C. Kremer
Neural Grammar Networks in QSAR Chemistry. BIBM (2009)
Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
09081 Abstracts Collection - Similarity-based learning on structures. Similarity-based learning on structures (2009)
Mosaab Daoud, Stefan C. Kremer
Neural and Statistical Classification to Families of Bio-sequences. IJCNN (2006)
Patrick Carter, Stefan C. Kremer
Fuzzy Grammar Induction from Large Corpora. FUZZ-IEEE (2006)
Mosaab Daoud, Stefan C. Kremer
Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network. CIBCB (2006)
Mansoor Doostfatemeh, Stefan C. Kremer
General Fuzzy Automata, New Efficient Acceptors for Fuzzy Languages. FUZZ-IEEE (2006)
Mansoor Doostfatemeh, Stefan C. Kremer
Biological Sequence Prediction using General Fuzzy Automata. CIBCB (2005)
Mansoor Doostfatemeh, Stefan C. Kremer
New directions in fuzzy automata. Int. J. Approx. Reason. 38 (2) (2005)
Orlando Cicchello, Stefan C. Kremer
Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results. J. Mach. Learn. Res. 4 (2003)
Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer
A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. 15 (6) (2003)
Orlando Cicchello, Stefan C. Kremer
Beyond EDSM. ICGI (2002)
Stefan C. Kremer
Spatiotemporal Connectionist Networks: A Taxonomy and Review. Neural Comput. 13 (2) (2001)
André Carlos Ponce de Leon Ferreira de Carvalho, Stefan C. Kremer
Introduction By Guest Editors: Non-Gradient Learning Techniques. Int. J. Neural Syst. 11 (6) (2001)
Stefan C. Kremer
Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines. IEEE Trans. Neural Networks 10 (2) (1999)
Stefan C. Kremer, John F. Kolen
Dynamical Recurrent Networks for Sequential Data Processing. Hybrid Neural Systems (1998)
Stefan C. Kremer
Parallel stochastic grammar induction. ICNN (1997)
Stefan C. Kremer
Natural properties in an artificial neural network. ICNN (1997)
Stefan C. Kremer
Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution". IEEE Trans. Neural Networks 7 (4) (1996)
Stefan C. Kremer
Finite State Automata that Recurrent Cascade-Correlation Cannot Represent. NIPS (1995)
Stefan C. Kremer
On the computational power of Elman-style recurrent networks. IEEE Trans. Neural Networks 6 (4) (1995)