Articles

UofT Libraries is getting a new library services platform in January 2021.
Learn more about the change.

Search Articles

Advanced search
Help

Catalogue

Articles

Databases

X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (1056) 1056
Book Chapter (198) 198
Conference Proceeding (136) 136
Dissertation (18) 18
Book / eBook (7) 7
Publication (2) 2
Reference (1) 1
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
science & technology (698) 698
mathematics (336) 336
physical sciences (329) 329
technology (299) 299
computer science (259) 259
life sciences & biomedicine (228) 228
ordinal regression (227) 227
statistics & probability (200) 200
ordinal data (178) 178
analysis (173) 173
classification (171) 171
ordinal classification (159) 159
social sciences (151) 151
humans (144) 144
computer science, artificial intelligence (137) 137
studies (135) 135
algorithms (121) 121
statistics (119) 119
engineering (118) 118
exact sciences and technology (108) 108
regression analysis (101) 101
mathematical models (97) 97
machine learning (91) 91
female (70) 70
mathematical & computational biology (70) 70
engineering, electrical & electronic (69) 69
business & economics (64) 64
male (63) 63
applied sciences (62) 62
artificial intelligence (62) 62
psychology (60) 60
statistical analysis (58) 58
ordinal logistic regression (57) 57
methods (56) 56
regression (56) 56
operations research & management science (52) 52
support vector machines (52) 52
sciences and techniques of general use (51) 51
computer science, interdisciplinary applications (50) 50
models, statistical (49) 49
computer simulation (48) 48
economics (48) 48
probability and statistics (47) 47
multivariate analysis (46) 46
neural networks (46) 46
biological and medical sciences (45) 45
training (45) 45
ordinal (44) 44
environmental sciences & ecology (42) 42
medical informatics (42) 42
research (42) 42
computer science, information systems (41) 41
public, environmental & occupational health (39) 39
data mining (38) 38
modeling (38) 38
usage (38) 38
computer science, theory & methods (37) 37
simulation (37) 37
adult (36) 36
computer science; control theory; systems (36) 36
mathematical methods in social sciences (35) 35
mathematics, interdisciplinary applications (35) 35
social sciences, mathematical methods (35) 35
learning (34) 34
ordinal variables (34) 34
software (34) 34
decision-making (33) 33
logic (33) 33
management (33) 33
optimization (33) 33
ranking (33) 33
data analysis (32) 32
fundamental and applied biological sciences. psychology (32) 32
mathematical analysis (31) 31
ordinal numbers (31) 31
science & technology - other topics (31) 31
statistical methods (31) 31
algebra (30) 30
ordinal response (30) 30
ordinal scale (30) 30
psychology, mathematical (30) 30
entropy (29) 29
measurement (29) 29
variables (29) 29
ecology (28) 28
mathematics, general (28) 28
statistical theory and methods (28) 28
data interpretation, statistical (27) 27
medicine, research & experimental (27) 27
research & experimental medicine (27) 27
support vector machine (27) 27
middle aged (26) 26
bayesian analysis (25) 25
feature extraction (25) 25
mathematical functions (25) 25
probability (25) 25
biology (24) 24
maschinelles lernen (24) 24
decision making (23) 23
more...
Library Location Library Location
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (1406) 1406
French (4) 4
German (4) 4
Spanish (4) 4
Czech (3) 3
Indonesian (3) 3
Chinese (2) 2
Japanese (2) 2
Portuguese (2) 2
Turkish (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


1. Full Text Feature Selection for Monotonic Classification
by Qinghua Hu and Weiwei Pan and Lei Zhang and Zhang, D and Yanping Song and Maozu Guo and Daren Yu
IEEE transactions on fuzzy systems, ISSN 1063-6706, 02/2012, Volume 20, Issue 1, pp. 69 - 81
Algorithm design and analysis | Feature selection | rank mutual information (RMI) | fuzzy ordinal set | Rough sets | monotonic classification | Entropy | Robustness | Noise measurement | Mutual information | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Studies | Tasks | Mathematical analysis | Classification | Consistency | Dominance | Strategy | Mathematical models
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
2. Full Text Classification of countries’ progress toward a knowledge economy based on machine learning classification techniques
by de la Paz-Marín, Mónica and Gutiérrez, Pedro Antonio and Hervás-Martínez, César
Expert systems with applications, ISSN 0957-4174, 01/2015, Volume 42, Issue 1, pp. 562 - 572
Decision support systems | Knowledge economy | Hierarchical clustering | Ordinal classification | Machine learning | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Data processing. List processing. Character string processing | Firm modelling | Operational research and scientific management | Memory organisation. Data processing | Information systems. Data bases | Exact sciences and technology | Applied sciences | Software | Artificial intelligence | Operational research. Management science | Computer science; control theory; systems | Economic aspects | Analysis | Methods | Economics | Classifiers | Construction | Classification | Clusters | Regression | Mathematical models | Monitoring
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
3. Full Text Comparison of classification accuracy using Cohen’s Weighted Kappa
by Ben-David, Arie
Expert systems with applications, ISSN 0957-4174, 2008, Volume 34, Issue 2, pp. 825 - 832
Cost-sensitive classification | Ordinal data sets | Sensitivity analysis | Weighted Cohen’s Kappa | Expert systems | Machine learning | Weighted Cohen's Kappa | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
4. Full Text Image ordinal classification with deep multi-view learning
by Zhang, Chao and Xu, Xun and Zhu, Ce
Electronics letters, ISSN 0013-5194, 11/2018, Volume 54, Issue 22, pp. 1280 - 1282
Image and vision processing and display technology | image ordinal classification | image classification | convolutional neural network | regression analysis | MVMP | testing data | double‐task learning | insufficient data issue | deep multiview learning | multiview max pooling approach | image categories | convolution | adience dataset | ordinal training data | learning (artificial intelligence) | multiview CNN | deep neural networks | feedforward neural nets | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
5. Full Text Cumulative link models for deep ordinal classification
by Vargas, Víctor Manuel and Gutiérrez, Pedro Antonio and Hervás-Martínez, César
Neurocomputing (Amsterdam), ISSN 0925-2312, 08/2020, Volume 401, pp. 48 - 58
Deep learning | Cumulative link models | Ordinal regression | Kappa index | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
6. Full Text Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification
by Alcala-Fdez, Jesus and Alcala, Rafael and Gonzalez, Sergio and Nojima, Yusuke and Garcia, Salvador
IEEE transactions on fuzzy systems, ISSN 1063-6706, 12/2017, Volume 25, Issue 6, pp. 1376 - 1390
Algorithm design and analysis | ordinal regression | Itemsets | monotonicity constraints | Biological system modeling | fuzzy rule-based classification systems (FRBCSs) | ordinal classification | evolutionary algorithms | Predictive models | Data science | Prediction algorithms | Pragmatics | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Rule based | Fuzzy control | Statistical analysis | Preprocessing | Control methods | Classification | Mathematical models | Regression analysis | Evolutionary algorithms | Fuzzy systems
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
7. Full Text Pixel-wise ordinal classification for salient object grading
by Liu, Yanzhu and Wang, Yanan and Kong, Adams Wai Kin
Image and vision computing, ISSN 0262-8856, 02/2021, Volume 106, p. 104086
Ordinal classification | Salient object grading | Deep neural networks
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
8. Full Text A weighted information-gain measure for ordinal classification trees
by Singer, Gonen and Anuar, Roee and Ben-Gal, Irad
Expert systems with applications, ISSN 0957-4174, 08/2020, Volume 152, p. 113375
Weighted entropy | Decision trees | Ordinal classification | Classification tree | Information-gain | C4.5 | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Performance evaluation | Systems analysis | Entropy | Expert systems | Classification
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
9. Full Text A convex formulation for multiple ordinal output classification
by Ma, Zhongchen and Chen, Songcan
Pattern recognition, ISSN 0031-3203, 02/2019, Volume 86, pp. 73 - 84
Multiple ordinal output classification | Relationships | Convex function | Ordinal regression | Multiple discrete ordinal variables | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer science | Analysis | Machine learning
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
10. Full Text Ordinal classification using Pareto fronts
by Stenina, M.M and Kuznetsov, M.P and Strijov, V.V
Expert systems with applications, ISSN 0957-4174, 08/2015, Volume 42, Issue 14, pp. 5947 - 5953
Expert estimations | Pareto front | Ordinal classification | Binary relation | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Wildlife conservation | Lists | Classification | Pareto optimality | Paper | Boundaries | Expert systems | Unions
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
11. Full Text Diagnostic classification models for ordinal item responses
by Liu, Ren and Jiang, Zhehan
Frontiers in psychology, ISSN 1664-1078, 12/2018, Volume 9, pp. 2512 - 2512
Markov chain monte carlo (MCMC) | Ordinal item responses | Bayesian estimation | Rating scales | Diagnostic classification model | Partial credit model | Psychology, Multidisciplinary | Psychology | Social Sciences | Bayesian statistical decision theory | Markov processes | Usage | Scalability | Item response theory | ordinal item responses | partial credit model | rating scales | diagnostic classification model | Markov Chain Monte Carlo (MCMC)
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
12. Full Text Code smell severity classification using machine learning techniques
by Arcelli Fontana, Francesca and Zanoni, Marco
Knowledge-based systems, ISSN 0950-7051, 07/2017, Volume 128, pp. 43 - 58
Code smells detection | Ordinal classification | Code smell severity | Machine learning | Refactoring prioritization | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Usage | Analysis | Methods
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights
13. Full Text Training set selection for monotonic ordinal classification
by Cano, J.-R and García, S
Data & knowledge engineering, ISSN 0169-023X, 11/2017, Volume 112, pp. 94 - 105
Ordinal classification | Data preprocessing | Training set selection | Machine learning | Monotonic classification | Computer Science, Information Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Details down arrow
Digital rights down arrow
loading Loading Rights