Simple fast algorithms for the editing distance between trees and related problems
SIAM Journal on Computing
Boolean Feature Discovery in Empirical Learning
Machine Learning
On the thresholds of knowledge
Artificial Intelligence
Handbook of theoretical computer science (vol. B)
Timbre analysis by synthesis: representations, imitations, and variants for musical composition
Representations of musical signals
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Automatic feature generation for problem solving systems
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Types and programming languages
Types and programming languages
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval
Feature Generation Using General Constructor Functions
Machine Learning
Genetic Programming and Evolvable Machines
Machine Learning
ICMAI '02 Proceedings of the Second International Conference on Music and Artificial Intelligence
From Simple Features to Sophisticated Evaluation Functions
CG '98 Proceedings of the First International Conference on Computers and Games
Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Dynamic Programming
Am: an artificial intelligence approach to discovery in mathematics as heuristic search.
Am: an artificial intelligence approach to discovery in mathematics as heuristic search.
An introduction to variable and feature selection
The Journal of Machine Learning Research
Syntactical and semantical aspects of Faust
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Automatic Feature Extraction for Classifying Audio Data
Machine Learning
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Maximum Margin Algorithms with Boolean Kernels
The Journal of Machine Learning Research
A Review of Audio Fingerprinting
Journal of VLSI Signal Processing Systems
Perspectives on the Contribution of Timbre to Musical Structure
Computer Music Journal
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Breast cancer diagnosis using genetic programming generated feature
Pattern Recognition
Musical instrument recognition using cepstral coefficients and temporal features
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Strongly typed genetic programming
Evolutionary Computation
Explanation-based feature construction
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Searching for interacting features
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Feature generation for text categorization using world knowledge
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A feature generation algorithm for sequences with application to splice-site prediction
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Recognizing chords with EDS: part one
CMMR'05 Proceedings of the Third international conference on Computer Music Modeling and Retrieval
Automatic mood detection and tracking of music audio signals
IEEE Transactions on Audio, Speech, and Language Processing
Modeling timbre distance with temporal statistics from polyphonic music
IEEE Transactions on Audio, Speech, and Language Processing
Feature generation using genetic programming with application to fault classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Visual learning by coevolutionary feature synthesis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hierarchical audio content classification system using an optimal feature selection algorithm
Multimedia Tools and Applications
Paralinguistics in speech and language-State-of-the-art and the challenge
Computer Speech and Language
Embedding monte carlo search of features in tree-based ensemble methods
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Seven problems that keep MIR from attracting the interest of cognition and neuroscience
Journal of Intelligent Information Systems
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We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs), a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.