Stefan C. Kremer

60 papers B 5C 7Misc 1Journal 20Unranked 19

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Using Auto-Encoders to Create Encodings for Three-Dimensional Protein Structure Information. KES Angela M. Kohut, Stefan C. Kremer, Steffen P. Graether
2021	—	`conf`	End-to-end chromosomal compartment prediction from reference genomes. BIBM Matthew Kirchhof, Christopher J. F. Cameron, Stefan C. Kremer
2020	—	`conf`	Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. WACV Workshops Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2019	J	`jnl`	Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. CoRR Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2018	—	`ch.`	A Survey and Comparison of Performance Evaluation in Intrusion Detection Systems. Computer and Network Security Essentials Jason B. Ernst, Tarfa Hamed, Stefan C. Kremer
2018	—	`ch.`	A Survey and Taxonomy of Classifiers of Intrusion Detection Systems. Computer and Network Security Essentials Tarfa Hamed, Jason B. Ernst, Stefan C. Kremer
2018	—	`ch.`	A Survey and Taxonomy on Data and Pre-processing Techniques of Intrusion Detection Systems. Computer and Network Security Essentials Tarfa Hamed, Jason B. Ernst, Stefan C. Kremer
2018	—	`conf`	Deep Learning Object Detection Methods for Ecological Camera Trap Data. CRV Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2018	J	`jnl`	Deep Learning Object Detection Methods for Ecological Camera Trap Data. CoRR Stefan Schneider, Graham W. Taylor, Stefan C. Kremer
2018	J	`jnl`	Machine Learned Replacement of N-Labels for Basecalled Sequences in DNA Barcoding. IEEE ACM Trans. Comput. Biol. Bioinform. Eddie Y. T. Ma, Sujeevan Ratnasingham, Stefan C. Kremer
2018	J	`jnl`	Network intrusion detection system based on recursive feature addition and bigram technique. Comput. Secur. Tarfa Hamed, Rozita Dara, Stefan C. Kremer
2018	J	`jnl`	Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data. CoRR Stefan Schneider, Graham W. Taylor, Stefan S. Linquist, Stefan C. Kremer
2016	J	`jnl`	Prediction of Protein Coding Regions Using a Wide-Range Wavelet Window Method. IEEE ACM Trans. Comput. Biol. Bioinform. Sajid A. Marhon, Stefan C. Kremer
2016	C	`conf`	Protein secondary structure prediction through a novel framework of secondary structure transition sites and new encoding schemes. CIBCB Masood Zamani, Stefan C. Kremer
2015	J	`jnl`	A dynamic representation-based, de novo method for protein-coding region prediction and biological information detection. Digit. Signal Process. Sajid A. Marhon, Stefan C. Kremer
2015	—	`conf`	A multi-stage protein secondary structure prediction system using machine learning and information theory. BIBM Masood Zamani, Stefan C. Kremer
2015	J	`jnl`	A new Canadian interdisciplinary Ph.D. in computational sciences. J. Comput. Sci. William B. Gardner, Gary Gréwal, Deborah A. Stacey, David A. Calvert, Stefan C. Kremer, Fangju Wang
2015	—	`conf`	Heterogeneous wireless network RAT selection with multiple operators and service contracts. ICC Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
2015	Misc	`conf`	Performance evaluation of heterogeneous wireless networks considering competing objectives and viewpoints. SAC Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
2015	C	`conf`	Protein secondary structure prediction using an evolutionary computation method and clustering. CIBCB Masood Zamani, Stefan C. Kremer
2014	C	`conf`	A New, Dynamic-Representation-Based Gene Finding Method with an Analysis of False Positive Peaks. BIBE Sajid A. Marhon, Stefan C. Kremer
2014	B	`conf`	A Wi-Fi Simulation Model Which Supports Channel Scanning across Multiple Non-overlapping Channels in NS3. AINA Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
2014	J	`jnl`	A survey of QoS/QoE mechanisms in heterogeneous wireless networks. Phys. Commun. Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
2014	—	`conf`	A utility based access point selection method for IEEE 802.11 wireless networks with enhanced quality of experience. ICC Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues
2014	C	`conf`	An Accurate, Fast Embedded Feature Selection for SVMs. ICMLA Tarfa Hamed, Rozita Dara, Stefan C. Kremer
2013	—	`ch.`	Neural Networks in Bioinformatics. Handbook on Neural Information Processing Masood Zamani, Stefan C. Kremer
2013	—	`ch.`	Recurrent Neural Networks. Handbook on Neural Information Processing Sajid Marhon, Christopher J. F. Cameron, Stefan C. Kremer
2012	—	`conf`	A brief comparison of DSP and HMM methods for gene finding. BCB Sajid Marhon, Stefan C. Kremer
2012	—	`conf`	Protein secondary structure prediction using support vector machines and a codon encoding scheme. BIBM Workshops Masood Zamani, Stefan C. Kremer
2012	C	`conf`	Sequence learning: analysis and solutions for sparse data in high dimensional spaces. CIBCB (Zhou) Bryan Bai, Stefan C. Kremer
2011	—	`conf`	Amino acid encoding schemes for machine learning methods. BIBM Workshops Masood Zamani, Stefan C. Kremer
2011	J	`jnl`	Gene Prediction Based on DNA Spectral Analysis: A Literature Review. J. Comput. Biol. Sajid Marhon, Stefan C. Kremer
2011	—	`conf`	Protein coding region prediction based on the adaptive representation method. CCECE Sajid Marhon, Stefan C. Kremer
2011	—	`conf`	Regularization of sequence data for machine learning. BIBM Workshops (Zhou) Bryan Bai, Stefan C. Kremer
2010	J	`jnl`	Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization. BMC Bioinform. Eddie Y. T. Ma, Christopher J. F. Cameron, Stefan C. Kremer
2010	J	`jnl`	Theoretical justification of computing the 3-base periodicity using nucleotide distribution variance. Biosyst. Sajid Marhon, Stefan C. Kremer
2009	—	`conf`	09081 Abstracts Collection - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	09081 Summary - Similarity-based learning on structures. Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2009	—	`conf`	Neural Grammar Networks in QSAR Chemistry. BIBM Eddie Y. T. Ma, Stefan C. Kremer
2009	—	`ch.`	Neural Grammar Networks. Innovations in Neural Information Paradigms and Applications Eddie Y. T. Ma, Stefan C. Kremer
2009	—	`ed.`	Similarity-based learning on structures, 15.02. - 20.02.2009 Similarity-based learning on structures Michael Biehl, Barbara Hammer, Sepp Hochreiter, Stefan C. Kremer, Thomas Villmann
2007	—	`ch.`	Spatio-Temporal Connectionist Networks. Handbook of Dynamic System Modeling Stefan C. Kremer
2006	C	`conf`	Detecting Similarities between Families of Bio-sequences using the Steady-State of a PCA-Neural Network. CIBCB Mosaab Daoud, Stefan C. Kremer
2006	B	`conf`	Fuzzy Grammar Induction from Large Corpora. FUZZ-IEEE Patrick Carter, Stefan C. Kremer
2006	B	`conf`	General Fuzzy Automata, New Efficient Acceptors for Fuzzy Languages. FUZZ-IEEE Mansoor Doostfatemeh, Stefan C. Kremer
2006	B	`conf`	Neural and Statistical Classification to Families of Bio-sequences. IJCNN Mosaab Daoud, Stefan C. Kremer
2005	C	`conf`	Biological Sequence Prediction using General Fuzzy Automata. CIBCB Mansoor Doostfatemeh, Stefan C. Kremer
2005	J	`jnl`	New directions in fuzzy automata. Int. J. Approx. Reason. Mansoor Doostfatemeh, Stefan C. Kremer
2003	J	`jnl`	A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case. Neural Comput. Guilherme De A. Barreto, Aluízio F. R. Araújo, Stefan C. Kremer
2003	J	`jnl`	Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results. J. Mach. Learn. Res. Orlando Cicchello, Stefan C. Kremer
2002	—	`conf`	Beyond EDSM. ICGI Orlando Cicchello, Stefan C. Kremer
2001	J	`jnl`	Introduction By Guest Editors: Non-Gradient Learning Techniques. Int. J. Neural Syst. André Carlos Ponce de Leon Ferreira de Carvalho, Stefan C. Kremer
2001	J	`jnl`	Spatiotemporal Connectionist Networks: A Taxonomy and Review. Neural Comput. Stefan C. Kremer
1999	J	`jnl`	Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines. IEEE Trans. Neural Networks Stefan C. Kremer
1998	—	`conf`	Dynamical Recurrent Networks for Sequential Data Processing. Hybrid Neural Systems Stefan C. Kremer, John F. Kolen
1997	—	`conf`	Natural properties in an artificial neural network. ICNN Stefan C. Kremer
1997	—	`conf`	Parallel stochastic grammar induction. ICNN Stefan C. Kremer
1996	J	`jnl`	Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution". IEEE Trans. Neural Networks Stefan C. Kremer
1995	—	`conf`	Finite State Automata that Recurrent Cascade-Correlation Cannot Represent. NIPS Stefan C. Kremer
1995	J	`jnl`	On the computational power of Elman-style recurrent networks. IEEE Trans. Neural Networks Stefan C. Kremer