A proposed undergraduate bioinformatics curriculum for computer scientists
SIGCSE '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education
The evolution of stochastic regular motifs for protein sequences
New Generation Computing
Bioinformatics and Constraints
Constraints
A Machine-Learning Strategy for Protein Analysis
IEEE Intelligent Systems
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Temporal Data Mining Using Hidden Markov-Local Polynomial Models
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Evolving Turing Machines for Biosequence Recognition and Analysis
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Bidirectional Dynamics for Protein Secondary Structure Prediction
Sequence Learning - Paradigms, Algorithms, and Applications
Predicting Signal Peptides with Support Vector Machines
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
The Divide-and-Conquer Manifesto
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report)
DS '01 Proceedings of the 4th International Conference on Discovery Science
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Analysis of Amperometric Biosensor Curves Using Hidden-Markov-Modells
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Handbook of data mining and knowledge discovery
An empirical comparison of supervised machine learning techniques in bioinformatics
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
An Optimal DNA Segmentation Based on the MDL Principle
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
RCIS: A Common Interval Searching Algorithm for Amino Acid Sequences
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Intelligent data analysis
The Journal of Machine Learning Research
Large-Scale Computational Modeling of Genetic Regulatory Networks
Artificial Intelligence Review
Automated data-driven discovery of motif-based protein function classifiers
Information Sciences: an International Journal
Protein threading with residue-environment matching by artificial neural networks
Proceedings of the 2004 ACM symposium on Applied computing
Knowledge discovery and data mining in biological databases
The Knowledge Engineering Review
Language identification in unknown signals
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Journal of Biomedical Informatics
Bioinformatics—an introduction for computer scientists
ACM Computing Surveys (CSUR)
Inverse parametric sequence alignment
Journal of Algorithms
Immune model-based fault diagnosis
Mathematics and Computers in Simulation
Mining top-K covering rule groups for gene expression data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Comparing approaches to predict transmembrane domains in protein sequences
Proceedings of the 2005 ACM symposium on Applied computing
Markov Encoding for Detecting Signals in Genomic Sequences
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
The Applicability of Recurrent Neural Networks for Biological Sequence Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
The evolutionary computation approach to motif discovery in biological sequences
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Discriminatively Trained Markov Model for Sequence Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Computer Music Journal
Increasing our ignorance of language: identifying language structure in an unknown 'signal'
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
2005 Speical Issue: Graph kernels for chemical informatics
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Connectionist computations of intuitionistic reasoning
Theoretical Computer Science
Theoretical Computer Science
Information Sciences: an International Journal
Ensemblator: An ensemble of classifiers for reliable classification of biological data
Pattern Recognition Letters
An HMM for detecting spam mail
Expert Systems with Applications: An International Journal
Scientific Programming - Hidden Markov Models
Cybernetics and Systems Analysis
Asymptotic Bayesian generalization error when training and test distributions are different
Proceedings of the 24th international conference on Machine learning
Multi-stage redundancy reduction: effective utilisation of small protein data sets
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
Behaviour of protein secondary structure types in the sequence space of a certain length
Intelligent Data Analysis
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
An optimal DNA segmentation based on the MDL principle
International Journal of Bioinformatics Research and Applications
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
MESSM: a framework for protein fold recognition using Neural Networks and Support Vector Machines
International Journal of Bioinformatics Research and Applications
On predicting secondary structure transition
International Journal of Bioinformatics Research and Applications
Discriminating TATA box from putative TATA boxes in plant genome
International Journal of Bioinformatics Research and Applications
Supervised classification of protein structures based on convex hull representation
International Journal of Bioinformatics Research and Applications
A cluster-based solution for high performance hmmpfam using EARTH execution model
International Journal of High Performance Computing and Networking
International Journal of Hybrid Intelligent Systems - VIII Brazilian Symposium On Neural Networks
A reduced and comprehensible polynomial neural network for classification
Pattern Recognition Letters
Covariate Shift Adaptation by Importance Weighted Cross Validation
The Journal of Machine Learning Research
Two neural networks architectures for detecting AVB
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
Two neural networks architectures for detecting AVB
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
Extracting Grammars from RNA Sequences
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
A Novel Hybrid GMM/SVM Architecture for Protein Secondary Structure Prediction
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift
Neural Information Processing
Cluster analysis of genome-wide expression data for feature extraction
Expert Systems with Applications: An International Journal
Comparing Distance Measures with Visual Methods
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Finding Significantly Expressed genes from time-course expression profiles
International Journal of Bioinformatics Research and Applications
On comparing two sequences of numbers and its applications to clustering analysis
Information Sciences: an International Journal
Guest editorial: Computational intelligence and machine learning in bioinformatics
Artificial Intelligence in Medicine
Modeling adaptive kernels from probabilistic phylogenetic trees
Artificial Intelligence in Medicine
Natural computing methods in bioinformatics: A survey
Information Fusion
Pool-based active learning in approximate linear regression
Machine Learning
Computers in Biology and Medicine
Biologically inspired evolutionary computing tools for the extraction of fetal electrocardiogram
WSEAS Transactions on Signal Processing
Splice Site Prediction Using Artificial Neural Networks
Computational Intelligence Methods for Bioinformatics and Biostatistics
Journal of Parallel and Distributed Computing
A decade of Kasabov's evolving connectionist systems: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A survey of evolutionary algorithms for clustering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
The effect of target vector selection on the invariance of classifier performance measures
IEEE Transactions on Neural Networks
Experimental Investigation of Three Machine Learning Algorithms for ITS Dataset
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
A hybrid promoter analysis methodology for prokaryotic genomes
Fuzzy Sets and Systems
Oncogenes classification measured by microarray using Genetic Algorithms
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
Residual languages and probabilistic automata
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Significance analysis of time-course gene expression profiles
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Some new features for protein fold prediction
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Neural networks and other machine learning methods in cancer research
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Improved prediction of protein secondary structures using adaptively weighted profiles
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
An EM algorithm to learn sequences in the wavelet domain
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Optimization procedure for predicting nonlinear time series based on a non-Gaussian noise model
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Ant-MST: an ant-based minimum spanning tree for gene expression data clustering
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Rough-fuzzy knowledge encoding and uncertainty analysis: relevance in data mining
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Semi-supervised speaker identification under covariate shift
Signal Processing
Locating hidden groups in communication networks using hidden Markov models
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Machine learning for intelligent bioinformatics: part 1 machine learning integration
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
StReBio'09: statistical relational learning and mining in bioinformatics
ACM SIGKDD Explorations Newsletter
Parallelisation of sequence comparison algorithms using hybridised parallel techniques
HONET'09 Proceedings of the 6th international conference on High capacity optical networks and enabling technologies
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Integrating machine learning in intelligent bioinformatics
WSEAS Transactions on Computers
Semi-supervised sequence classification using abstraction augmented Markov models
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Computer Methods and Programs in Biomedicine
An introduction to Bayesian techniques for sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Proceedings of the 1st ACM International Health Informatics Symposium
Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
PCA based immune networks for human face recognition
Applied Soft Computing
Semantics and Ambiguity of Stochastic RNA Family Models
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Analysis of gene microarray data in a soft computing framework
Applied Soft Computing
An empirical analysis of under-sampling techniques to balance a protein structural class dataset
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
A parallel architecture for DNA matching
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
Theoretical Analysis of Bayesian Matrix Factorization
The Journal of Machine Learning Research
Interactive GSOM-Based approaches for improving biomedical pattern discovery and visualization
CIS'04 Proceedings of the First international conference on Computational and Information Science
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
An improved gibbs sampling algorithm for finding TFBS
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Protein fold recognition using neural networks and support vector machines
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Segmentation of DNA using simple recurrent neural network
Knowledge-Based Systems
Structural SCOP Superfamily Level Classification Using Unsupervised Machine Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Parallel prediction of protein-protein interactions using proximal SVM
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Towards designing modular recurrent neural networks in learning protein secondary structures
Expert Systems with Applications: An International Journal
Prediction rule generation of MHC class i binding peptides using ANN and GA
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Machine learning techniques for predicting bacillus subtilis promoters
BSB'05 Proceedings of the 2005 Brazilian conference on Advances in Bioinformatics and Computational Biology
Evaluation of fuzzy measures in profile hidden markov models for protein sequences
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Modelling a protein structure comparison application on the grid using PROTEUS
SAG'04 Proceedings of the First international conference on Scientific Applications of Grid Computing
Connectionist approaches for predicting mouse gene function from gene expression
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Computational intelligence in bioinformatics
Transactions on Rough Sets III
Expert Systems with Applications: An International Journal
A new model for classifying DNA code inspired by neural networks and FSA
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Clustering algorithms for ITS sequence data with alignment metrics
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
On statistically meaningful geometric properties of digital three-dimensional structures of proteins
Mathematical and Computer Modelling: An International Journal
On a 3D-matrix representation of the tertiary structure of a protein
Mathematical and Computer Modelling: An International Journal
A neural network based approach for GPCR protein prediction using pattern discovery
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
A visual analytics framework for cluster analysis of DNA microarray data
Expert Systems with Applications: An International Journal
ACM SIGSOFT Software Engineering Notes
2D shapes classification using BLAST
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An evolutionary computational model applied to cluster analysis of DNA microarray data
Expert Systems with Applications: An International Journal
Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification
International Journal of Software Science and Computational Intelligence
MLP accompanied beam search for the resonance assignment problem
Journal of Heuristics
An Adaptive Window Length Strategy for Eukaryotic CDS Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Self-Organizing Hidden Markov Model Map (SOHMMM)
Neural Networks
Double linear regressions for single labeled image per person face recognition
Pattern Recognition
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In this book Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology.