Finite State Automata that Recurrent Cascade-Correlation Cannot Represent. - Stefan C. Kremer (NIPS, 1995)

On the computational power of Elman-style recurrent networks. - Stefan C. Kremer (IEEE Trans. Neural Networks, 1995)

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

Natural properties in an artificial neural network. - Stefan C. Kremer (ICNN, 1997)

Parallel stochastic grammar induction. - Stefan C. Kremer (ICNN, 1997)

Dynamical Recurrent Networks for Sequential Data Processing. - Stefan C. Kremer; John F. Kolen (Hybrid Neural Systems, 1998)

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

Introduction By Guest Editors: Non-Gradient Learning Techniques. - André Carlos Ponce de Leon Ferreira de Carvalho; Stefan C. Kremer (Int. J. Neural Syst., 2001)

Spatiotemporal Connectionist Networks: A Taxonomy and Review. - Stefan C. Kremer (Neural Comput., 2001)

Beyond EDSM. - Orlando Cicchello; Stefan C. Kremer (ICGI, 2002)

Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results. - Orlando Cicchello; Stefan C. Kremer (J. Mach. Learn. Res., 2003)

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. - Guilherme De A. Barreto; Aluízio F. R. Araújo; Stefan C. Kremer (Neural Comput., 2003)

Biological Sequence Prediction using General Fuzzy Automata. - Mansoor Doostfatemeh; Stefan C. Kremer (CIBCB, 2005)

New directions in fuzzy automata. - Mansoor Doostfatemeh; Stefan C. Kremer (Int. J. Approx. Reason., 2005)

Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network. - Mosaab Daoud; Stefan C. Kremer (CIBCB, 2006)

Fuzzy Grammar Induction from Large Corpora. - Patrick Carter; Stefan C. Kremer (FUZZ-IEEE, 2006)

General Fuzzy Automata, New Efficient Acceptors for Fuzzy Languages. - Mansoor Doostfatemeh; Stefan C. Kremer (FUZZ-IEEE, 2006)

Neural and Statistical Classification to Families of Bio-sequences. - Mosaab Daoud; Stefan C. Kremer (IJCNN, 2006)

Spatio-Temporal Connectionist Networks. - Stefan C. Kremer (Handbook of Dynamic System Modeling, 2007)

Neural Grammar Networks in QSAR Chemistry. - Eddie Y. T. Ma; Stefan C. Kremer (BIBM, 2009)

09081 Abstracts Collection - Similarity-based learning on structures. - Michael Biehl; Barbara Hammer; Sepp Hochreiter; Stefan C. Kremer; Thomas Villmann (Similarity-based learning on structures, 2009)

09081 Summary - Similarity-based learning on structures. - Michael Biehl; Barbara Hammer; Sepp Hochreiter; Stefan C. Kremer; Thomas Villmann (Similarity-based learning on structures, 2009)

Neural Grammar Networks. - Eddie Y. T. Ma; Stefan C. Kremer (Innovations in Neural Information Paradigms and Applications, 2009)

Theoretical justification of computing the 3-base periodicity using nucleotide distribution variance. - Sajid Marhon; Stefan C. Kremer (Biosyst., 2010)

Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization. - Eddie Y. T. Ma; Christopher J. F. Cameron; Stefan C. Kremer (BMC Bioinform., 2010)

Regularization of sequence data for machine learning. - (Zhou) Bryan Bai; Stefan C. Kremer (BIBM Workshops, 2011)

Amino acid encoding schemes for machine learning methods. - Masood Zamani; Stefan C. Kremer (BIBM Workshops, 2011)

Protein coding region prediction based on the adaptive representation method. - Sajid Marhon; Stefan C. Kremer (CCECE, 2011)

Gene Prediction Based on DNA Spectral Analysis: A Literature Review. - Sajid Marhon; Stefan C. Kremer (J. Comput. Biol., 2011)

A brief comparison of DSP and HMM methods for gene finding. - Sajid Marhon; Stefan C. Kremer (BCB, 2012)

Protein secondary structure prediction using support vector machines and a codon encoding scheme. - Masood Zamani; Stefan C. Kremer (BIBM Workshops, 2012)

Sequence learning: analysis and solutions for sparse data in high dimensional spaces. - (Zhou) Bryan Bai; Stefan C. Kremer (CIBCB, 2012)

Recurrent Neural Networks. - Sajid Marhon; Christopher J. F. Cameron; Stefan C. Kremer (Handbook on Neural Information Processing, 2013)

Neural Networks in Bioinformatics. - Masood Zamani; Stefan C. Kremer (Handbook on Neural Information Processing, 2013)

A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3. - Jason B. Ernst; Stefan C. Kremer; Joel J. P. C. Rodrigues (AINA, 2014)

A New, Dynamic-Representation-Based Gene Finding Method with an Analysis of False Positive Peaks. - Sajid A. Marhon; Stefan C. Kremer (BIBE, 2014)

A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience. - Jason B. Ernst; Stefan C. Kremer; Joel J. P. C. Rodrigues (ICC, 2014)

An Accurate, Fast Embedded Feature Selection for SVMs. - Tarfa Hamed; Rozita Dara 001; Stefan C. Kremer (ICMLA, 2014)

A survey of QoS/QoE mechanisms in heterogeneous wireless networks. - Jason B. Ernst; Stefan C. Kremer; Joel J. P. C. Rodrigues (Phys. Commun., 2014)

A multi-stage protein secondary structure prediction system using machine learning and information theory. - Masood Zamani; Stefan C. Kremer (BIBM, 2015)

Protein secondary structure prediction using an evolutionary computation method and clustering. - Masood Zamani; Stefan C. Kremer (CIBCB, 2015)

Heterogeneous wireless network RAT selection with multiple operators and service contracts. - Jason B. Ernst; Stefan C. Kremer; Joel J. P. C. Rodrigues (ICC, 2015)

Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints. - Jason B. Ernst; Stefan C. Kremer; Joel J. P. C. Rodrigues (SAC, 2015)

A dynamic representation-based, de novo method for protein-coding region prediction and biological information detection. - Sajid A. Marhon; Stefan C. Kremer (Digit. Signal Process., 2015)

A new Canadian interdisciplinary Ph.D. in computational sciences. - William B. Gardner; Gary Gréwal; Deborah A. Stacey; David A. Calvert; Stefan C. Kremer; Fangju Wang (J. Comput. Sci., 2015)

Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes. - Masood Zamani; Stefan C. Kremer (CIBCB, 2016)

Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method. - Sajid A. Marhon; Stefan C. Kremer (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

A Survey and Comparison of Performance Evaluation in Intrusion Detection Systems. - Jason B. Ernst; Tarfa Hamed; Stefan C. Kremer (Computer and Network Security Essentials, 2018)

A Survey and Taxonomy of Classifiers of Intrusion Detection Systems. - Tarfa Hamed; Jason B. Ernst; Stefan C. Kremer (Computer and Network Security Essentials, 2018)

A Survey and Taxonomy on Data and Pre-processing Techniques of Intrusion Detection Systems. - Tarfa Hamed; Jason B. Ernst; Stefan C. Kremer (Computer and Network Security Essentials, 2018)

Deep Learning Object Detection Methods for Ecological Camera Trap Data. - Stefan Schneider 009; Graham W. Taylor; Stefan C. Kremer (CRV, 2018)

Network intrusion detection system based on recursive feature addition and bigram technique. - Tarfa Hamed; Rozita Dara 001; Stefan C. Kremer (Comput. Secur., 2018)

Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. - Stefan Schneider 009; Graham W. Taylor; Stefan S. Linquist; Stefan C. Kremer (CoRR, 2018)

Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding. - Eddie Y. T. Ma; Sujeevan Ratnasingham; Stefan C. Kremer (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. - Stefan Schneider 009; Graham W. Taylor; Stefan C. Kremer (WACV Workshops, 2020)

End-to-end chromosomal compartment prediction from reference genomes. - Matthew Kirchhof; Christopher J. F. Cameron; Stefan C. Kremer (BIBM, 2021)

Using Auto-Encoders to Create Encodings for Three-Dimensional Protein Structure Information. - Angela M. Kohut; Stefan C. Kremer; Steffen P. Graether (KES, 2024)