References

Agrawal, Rakesh, and Ramakrishnan Srikant. 1994. “Fast Algorithms for Mining Association Rules.” In Proc. 20th Int. Conf. Very Large Data Bases, Vldb, 1215:487–99.

Allaire, JJ, and François Chollet. 2019. Keras: R Interface to ’Keras’. https://CRAN.R-project.org/package=keras.

Anzulewicz, Anna, Krzysztof Sobota, and Jonathan T Delafield-Butt. 2016. “Toward the Autism Motor Signature: Gesture Patterns During Smart Tablet Gameplay Identify Children with Autism.” Scientific Reports 6 (1): 1–13.

Arigbabu, Olasimbo. 2017. Dataset for Smile Detection from Face Images. http://dx.doi.org/10.17632/yz4v8tb3tp.5.

Arigbabu, Olasimbo Ayodeji, Saif Mahmood, Sharifah Mumtazah Syed Ahmad, and Abayomi A Arigbabu. 2016. “Smile Detection Using Hybrid Face Representation.” Journal of Ambient Intelligence and Humanized Computing 7 (3): 415–26.

Bengtsson, Henrik. 2018. R.matlab: Read and Write Mat Files and Call Matlab from Within R. https://CRAN.R-project.org/package=R.matlab.

Beyan, Cigdem, and Robert B Fisher. 2013. “Detecting Abnormal Fish Trajectories Using Clustered and Labeled Data.” In 2013 IEEE International Conference on Image Processing, 1476–80. IEEE.

Biecek, Przemyslaw, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn, and others. 2012. “The R Package Bgmm: Mixture Modeling with Uncertain Knowledge.” Journal of Statistical Software 47 (i03).

Bivand, Roger, Friedrich Leisch, and Martin Maechler. 2011. Pixmap: Bitmap Images (“Pixel Maps”). https://CRAN.R-project.org/package=pixmap.

Borg, Ingwer, Patrick JF Groenen, and Patrick Mair. 2012. Applied Multidimensional Scaling. Springer Science & Business Media.

Breiman, Leo. 1996. “Bagging Predictors.” Machine Learning 24 (2): 123–40. https://doi.org/10.1023/A:1018054314350.

———. 2001. “Random Forests.” Machine Learning 45 (1): 5–32.

Brena, Ramon F, Juan Pablo Garcı́a-Vázquez, Carlos E Galván-Tejada, David Muñoz-Rodriguez, Cesar Vargas-Rosales, and James Fangmeyer. 2017. “Evolution of Indoor Positioning Technologies: A Survey.” Journal of Sensors 2017.

Chawla, Nitesh V, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. 2002. “SMOTE: Synthetic Minority over-Sampling Technique.” Journal of Artificial Intelligence Research 16: 321–57.

Chen, Chen, Roozbeh Jafari, and Nasser Kehtarnavaz. 2015. “UTD-Mhad: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and a Wearable Inertial Sensor.” In 2015 Ieee International Conference on Image Processing (Icip), 168–72. IEEE.

Chollet, François, and J. J. Allaire. 2018. Deep Learning with R. Manning.

Cooper, Alexia, Erica L Smith, and others. 2012. Homicide Trends in the United States, 1980-2008. BiblioGov.

Côme, Etienne, Latifa Oukhellou, Thierry Denoeux, and Patrice Aknin. 2009. “Learning from Partially Supervised Data Using Mixture Models and Belief Functions.” Pattern Recognition 42 (3): 334–48.

Csardi, Gabor, and Tamas Nepusz. 2006. “The Igraph Software Package for Complex Network Research.” InterJournal Complex Systems: 1695. http://igraph.org.

Cui, Boxuan. 2020. DataExplorer: Automate Data Exploration and Treatment. https://CRAN.R-project.org/package=DataExplorer.

De Gelder, Beatrice. 2006. “Towards the Neurobiology of Emotional Body Language.” Nature Reviews Neuroscience 7 (3): 242–49.

Eckmann, J-P, S Oliffson Kamphorst, and David Ruelle. 1987. “Recurrence Plots of Dynamical Systems.” EPL (Europhysics Letters) 4 (9): 973.

Garcia, Enrique A., and Ramon F. Brena. 2012. “Real Time Activity Recognition Using a Cell Phone’s Accelerometer and Wi-Fi.” In Workshop Proceedings of the 8th International Conference on Intelligent Environments, 13:94–103. Ambient Intelligence and Smart Environments. IOS Press. https://doi.org/10.3233/978-1-61499-080-2-94.

Garcia-Ceja, Enrique, Ramon Brena, and CarlosE. Galván-Tejada. 2014. “Contextualized Hand Gesture Recognition with Smartphones.” In Pattern Recognition, edited by JoséFrancisco Martínez-Trinidad, JesúsAriel Carrasco-Ochoa, JoséArturo Olvera-Lopez, Joaquín Salas-Rodríguez, and ChingY. Suen, 8495:122–31. Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-319-07491-7_13.

Garcia-Ceja, Enrique, Carlos E Galván-Tejada, and Ramon Brena. 2018. “Multi-View Stacking for Activity Recognition with Sound and Accelerometer Data.” Information Fusion 40: 45–56.

Garcia-Ceja, Enrique, Michael Riegler, Petter Jakobsen, Jim Tørresen, Tine Nordgreen, Ketil J. Oedegaard, and Ole Bernt Fasmer. 2018. “Depresjon: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients.” In Proceedings of the 9th Acm on Multimedia Systems Conference. MMSys’18. Amsterdam, The Netherlands: ACM. https://doi.org/10.1145/3204949.3208125.

Garcia-Ceja, Enrique, Michael Riegler, Tine Nordgreen, Petter Jakobsen, Ketil J Oedegaard, and Jim Tørresen. 2018. “Mental Health Monitoring with Multimodal Sensing and Machine Learning: A Survey.” Pervasive and Mobile Computing.

Giorgino, Toni. 2009. “Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package.” Journal of Statistical Software 31 (7): 1–24.

Gower, John C. 1966. “Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis.” Biometrika 53 (3-4): 325–38.

Grau, Jan, Ivo Grosse, and Jens Keilwagen. 2015. “PRROC: Computing and Visualizing Precision-Recall and Receiver Operating Characteristic Curves in R.” Bioinformatics 31 (15): 2595–7.

Hahsler, Michael. 2017. “ArulesViz: Interactive Visualization of Association Rules with R.” R Journal 9 (2): 163–75. https://journal.r-project.org/archive/2017/RJ-2017-047/RJ-2017-047.pdf.

———. 2019. ArulesViz: Visualizing Association Rules and Frequent Itemsets. https://CRAN.R-project.org/package=arulesViz.

Hahsler, Michael, Christian Buchta, Bettina Gruen, and Kurt Hornik. 2019. Arules: Mining Association Rules and Frequent Itemsets. https://CRAN.R-project.org/package=arules.

Halkidi, Maria, Yannis Batistakis, and Michalis Vazirgiannis. 2001. “On Clustering Validation Techniques.” Journal of Intelligent Information Systems 17 (2): 107–45.

Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media.

Huang, Gary B, Marwan Mattar, Tamara Berg, and Eric Learned-Miller. 2008. “Labeled Faces in the Wild: A Database Forstudying Face Recognition in Unconstrained Environments.” In.

Huang, Guang-Bin. 2003. “Learning Capability and Storage Capacity of Two-Hidden-Layer Feedforward Networks.” IEEE Transactions on Neural Networks 14 (2): 274–81.

Hyndman, Rob J, and George Athanasopoulos. 2018. Forecasting: Principles and Practice. 2nd ed. Melbourne, Australia: OTexts. https://otexts.com/fpp2/.

Kamminga, Jacob W, Helena C Bisby, Duc V Le, Nirvana Meratnia, and Paul JM Havinga. 2017. “Generic Online Animal Activity Recognition on Collar Tags.” In Proceedings of the 2017 Acm International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 Acm International Symposium on Wearable Computers, 597–606.

Keskar, Nitish Shirish, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, and Ping Tak Peter Tang. 2016. “On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.” http://arxiv.org/abs/1609.04836.

Kolde, Raivo. 2019. Pheatmap: Pretty Heatmaps. https://CRAN.R-project.org/package=pheatmap.

Kononenko, Igor, and Matjaz Kukar. 2007. Machine Learning and Data Mining. Horwood Publishing.

Kwapisz, Jennifer R., Gary M. Weiss, and Samuel A. Moore. 2010. “Activity Recognition Using Cell Phone Accelerometers.” In Proceedings of the Fourth International Workshop on Knowledge Discovery from Sensor Data (at KDD-10), Washington DC.

LeCun, Yann, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998. “Gradient-Based Learning Applied to Document Recognition.” Proceedings of the IEEE 86 (11): 2278–2324.

Liaw, Andy, and Matthew Wiener. 2002. “Classification and Regression by randomForest.” R News 2 (3): 18–22. https://CRAN.R-project.org/doc/Rnews/.

Liu, F. T., K. M. Ting, and Z. Zhou. 2008. “Isolation Forest.” In 2008 Eighth IEEE International Conference on Data Mining, 413–22.

McLean, Donald James, and Marta A. Skowron Volponi. 2018. “Trajr: An R Package for Characterisation of Animal Trajectories.” Ethology 124 (6). https://doi.org/10.1111/eth.12739.

Meyer, David, Evgenia Dimitriadou, Kurt Hornik, Andreas Weingessel, and Friedrich Leisch. 2019. E1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), Tu Wien. https://CRAN.R-project.org/package=e1071.

Milborrow, Stephen. 2019. Rpart.plot: Plot ’Rpart’ Models: An Enhanced Version of ’plot.rpart’. https://CRAN.R-project.org/package=rpart.plot.

Molnar, Christoph. 2019. Interpretable Machine Learning. A Guide for Making Black Box Models Explainable. Leanpub.

Neves, Ricardo Luiz AND Pie, Felipe Marcel AND Viana. 2017. “Recurrence Analysis of Ant Activity Patterns.” PLOS ONE 12 (10): 1–15. https://doi.org/10.1371/journal.pone.0185968.

Nguyen, Minh-Hoang, Manh-Toan Ho, Quynh-Yen T. Nguyen, and Quan-Hoang Vuong. 2019. “A Dataset of Students’ Mental Health and Help-Seeking Behaviors in a Multicultural Environment.” Data 4 (3). https://doi.org/10.3390/data4030124.

Peng, Roger. 2016. Exploratory Data Analysis with R. Leanpub.com.

Pratt, Lorien Y, Jack Mostow, Candace A Kamm, and Ace A Kamm. 1991. “Direct Transfer of Learned Information Among Neural Networks.” In Aaai, 91:584–89.

Quinlan, J Ross. 2014. C4.5: Programs for Machine Learning. Elsevier.

Rabiner, Lawrence, and Biing-Hwang Juang. 1993. Fundamentals of Speech Recognition. Prentice hall.

Rosenblatt, Frank. 1958. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.” Psychological Review 65 (6): 386.

Rousseeuw, Peter J. 1987. “Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis.” Journal of Computational and Applied Mathematics 20: 53–65.

Rushworth, Alastair. 2019. Inspectdf: Inspection, Comparison and Visualisation of Data Frames. https://CRAN.R-project.org/package=inspectdf.

Sakoe, Hiroaki, Seibi Chiba, A Waibel, and KF Lee. 1990. “Dynamic Programming Algorithm Optimization for Spoken Word Recognition.” Readings in Speech Recognition 159: 224.

Samatova, Nagiza F, William Hendrix, John Jenkins, Kanchana Padmanabhan, and Arpan Chakraborty. 2013. Practical Graph Mining with R. CRC Press.

Sanderson, Conrad, and Brian C Lovell. 2009. “Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference.” In International Conference on Biometrics, 199–208. Springer.

Scharf, Henry. 2020. Anipaths: Animation of Observed Trajectories Using Spline-Based Interpolation. https://CRAN.R-project.org/package=anipaths.

Segaran, Toby. 2007. Programming Collective Intelligence: Building Smart Web 2.0 Applications. " O’Reilly Media, Inc.".

Shoaib, Muhammad, Stephan Bosch, Ozlem Durmaz Incel, Hans Scholten, and Paul J. M. Havinga. 2015. “A Survey of Online Activity Recognition Using Mobile Phones.” Sensors 15 (1): 2059–85. https://doi.org/10.3390/s150102059.

Silge, Julia, and David Robinson. 2017. Text Mining with R: A Tidy Approach. " O’Reilly Media, Inc.".

Simonyan, Karen, and Andrew Zisserman. 2014. “Very Deep Convolutional Networks for Large-Scale Image Recognition.” arXiv Preprint arXiv:1409.1556.

Srikanth, Komala Sheshachala. 2020. Solitude: An Implementation of Isolation Forest. https://CRAN.R-project.org/package=solitude.

Srivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. “Dropout: A Simple Way to Prevent Neural Networks from Overfitting.” Journal of Machine Learning Research 15 (56): 1929–58. http://jmlr.org/papers/v15/srivastava14a.html.

Steinberg, Dan, and Phillip Colla. 2009. “CART: Classification and Regression Trees.” The Top Ten Algorithms in Data Mining 9: 179.

Therneau, Terry, and Beth Atkinson. 2019. Rpart: Recursive Partitioning and Regression Trees. https://CRAN.R-project.org/package=rpart.

Tierney, Nicholas, Di Cook, Miles McBain, and Colin Fay. 2019. Naniar: Data Structures, Summaries, and Visualisations for Missing Data. https://CRAN.R-project.org/package=naniar.

Ting, Kai Ming, and Ian H Witten. 1999. “Issues in Stacked Generalization.” Journal of Artificial Intelligence Research 10: 271–89.

Triguero, Isaac, Salvador García, and Francisco Herrera. 2013. “Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study.” Knowledge and Information Systems 42 (2): 245–84. https://doi.org/10.1007/s10115-013-0706-y.

Vanderkam, Dan, JJ Allaire, Jonathan Owen, Daniel Gromer, and Benoit Thieurmel. 2018. Dygraphs: Interface to ’Dygraphs’ Interactive Time Series Charting Library. https://CRAN.R-project.org/package=dygraphs.

van der Loo, Mark. 2019. Simputation: Simple Imputation. https://CRAN.R-project.org/package=simputation.

Williams, HJ, ELC Shepard, Mark D Holton, PAE Alarcón, RP Wilson, and SA Lambertucci. 2020. “Physical Limits of Flight Performance in the Heaviest Soaring Bird.” Proceedings of the National Academy of Sciences.

Wolpert, David H. 1992. “Stacked Generalization.” Neural Networks 5 (2): 241–59.

Xi, Xiaopeng, Eamonn Keogh, Christian Shelton, Li Wei, and Chotirat Ann Ratanamahatana. 2006. “Fast Time Series Classification Using Numerosity Reduction.” In Proceedings of the 23rd International Conference on Machine Learning, 1033–40.

Yashuk, Kirill. 2019. Classify Gestures by Reading Muscle Activity: A Recording of Human Hand Muscle Activity Producing Four Different Hand Gestures. https://www.kaggle.com/kyr7plus/emg-4.

Zbilut, Joseph P., and Charles L. Webber. 1992. “Embeddings and Delays as Derived from Quantification of Recurrence Plots.” Physics Letters A 171 (3): 199–203. https://doi.org/https://doi.org/10.1016/0375-9601(92)90426-M.