AutoML (Automatic Machine Learning) 2015


Resources:

  • auto-sklearn .. automated machine learning toolkit (drop-in replacement for a scikit-learn estimator)
  • autograd .. efficiently computes derivatives of numpy code
  • autokit .. automatic machine learning suite
  • autoweka .. selects a learning algorithm and sets its hyperparameters
  • hyperopt .. distributed asynchronous hyperparameter optimization in python

Wikipedia:

See also:

Machine Learning Meta Guide


Design of the 2015 ChaLearn AutoML challenge I Guyon, K Bennett, G Cawley… – … Joint Conference on …, 2015 – ieeexplore.ieee.org An ever growing number of disciplines rely on machine learning (ML) techniques. However, the use of these tech niques still requires human interaction; practitioners have to select appropriate features, workftows, algorithms, and hyper parameters. To accelerate the Cited by 4 Related articles All 7 versions

Autokit: Automatic machine learning via representation and model search T Štajner – 2015 – indico.lal.in2p3.fr Page 1. Autokit: automatic machine learning via representation and model search Tadej Štajner1 – tadej@tdj.si 1Jozef Stefan International Postgraduate School 11.07.2015, AutoML Workshop at ICML 2015, Lille, France Page 2. Key ideas Define a pipeline space for hyperopt that covers Cited by 2 Related articles

Representation optimization with feature selection and manifold learning in a holistic classification framework F Bürger, J Pauli – Proceedings of the International …, 2015 – pdfs.semanticscholar.org … with 1 ? i ? m instance fea- ture vectors with corresponding class labels yi ? C. The goal is to find a classifier function or model that predicts the correct class labels of previously unseen instance feature vectors fclass(x) = y ? C. Automatic machine learning optimization meth … Cited by 4 Related articles All 2 versions

Automatic and portable mapping of data parallel programs to OpenCL for GPU-based heterogeneous systems Z Wang, D Grewe, MFP O’boyle – ACM Transactions on Architecture and …, 2015 – dl.acm.org … It uses OpenCL as a target language and is applied to the entire NAS parallel benchmark suite on different GPU-based systems from different vendors, using automatic machine learning techniques to pre- dict the best components to use in a heterogeneous system. … Cited by 7 Related articles All 3 versions

Massive open online proctor: Protecting the credibility of MOOCs certificates X Li, K Chang, Y Yuan, A Hauptmann – … of the 18th ACM Conference on …, 2015 – dl.acm.org … and crowd-sourcing. MOOP consists of 3 components: • Automatic Cheating Detector (ACD) – an automatic, machine learning approach that utilizes different sen- sor technologies to detect cheating behaviors. • Peer Cheating … Cited by 4 Related articles All 5 versions

Shiny on your crazy diagonal GM Di Nunzio – Proceedings of the 38th International ACM SIGIR …, 2015 – dl.acm.org … In theory, a classical fully- automatic machine learning approach that searches the best combination of parameters can find the optimal solution [6]. However, the number of possible combinations of the val- ues of the parameters grows exponentially with the number of the … Cited by 1 Related articles

Active learning for entity filtering in microblog streams D Spina, MH Peetz, M de Rijke – … of the 38th International ACM SIGIR …, 2015 – dl.acm.org … The ORM industry therefore seeks to find a balance between manual and automatic filtering. Our approach to EF is based on active learning [11], a semi- automatic machine learning process interacting with the user for updating the classification model. … Cited by 2 Related articles All 6 versions

Application of Interactive Classification System in University Study Course Comparison I Birzniece, P Rudzajs, D Kalibatiene… – Informatics in …, 2015 – ceeol.com … classification system allows to classify educational data, which often comes in unstructured or semi-structured, incomplete and/or insufficient form, thus reducing the number of misclassified instances significantly in comparison with the automatic machine learning approach. … Cited by 1 Related articles All 7 versions

AutoCompete: A Framework for Machine Learning Competition A Thakur, A Krohn-Grimberghe – arXiv preprint arXiv:1507.02188, 2015 – arxiv.org … In machine learning research, this topic has arrived under the umbrella term AutoML that subsumes and integrates disjunct areas of research such as identification of the problem (classification/regression, identifying the type of data, types of features and selection of features). … Cited by 2 Related articles All 2 versions

AutoML Challenge 2015 UK UEA – pdfs.semanticscholar.org The AutoML Challenge is designed to promote research on reducing or removing the need for human interaction in applying machine learning (ML) to practical problems. This refers to all aspects of automating the ML process beyond model selection, hyper-parameter

AutoML Challenge 2015: Design and First Results I Guyon, K Bennett, G Cawley, HJ Escalante… – sergioescalera.com Abstract ChaLearn is organizing the Automatic Machine Learning (AutoML) contest 2015, which challenges participants to solve classification and regression problems without any human intervention. Participants’ code is automatically run on the contest servers to train Related articles All 2 versions

Reinvention of the cardiovascular diseases prevention and prediction due to ubiquitous convergence of mobile apps and machine learning S Nikolaiev, Y Timoshenko – Information Technologies in …, 2015 – ieeexplore.ieee.org … 116-124. [3] World Health Organization, [Online resource] Available: http://who.int/mediacentre/ factsheets/fs317/en/ [4] Sergii Nikolaiev, Architecture of automatic machine learning system for heart pathologies detection using ECGs, in proc. of the Int. Conf. … Cited by 1 Related articles

Machine learning in efficient and effective web service discovery KC Bhardwaj, RK Sharma – Journal of Web Engineering, 2015 – dl.acm.org … 59. Pudil, P., Novovicova, J., Kittler, J.: Automatic machine learning of decision rules for classification problems. In proceedings of 4th BMVC93, 1993. 60. Varguez-Moo M., Moo-Mena, F., and Uc-Cetina, V.: Use of classification algorithms for semantic web services discovery. … Related articles

Automatic Log Analysis System Integration: Message Bus Integration in a Machine Learning Environment C Svensson – 2015 – diva-portal.org … runs. Because of this, large amounts of valuable log data from performed tests are used by Ericsson’s CII-department to improve the whole testing process by using this data as input to an automatic machine learning system. … Related articles All 4 versions

Beyond Data Mining: Novel Directions in Interactive Machine Learning Human-in-the-loop A Holzinger – Citeseer … However, in complex domains such as biomedicine, where we deal with uncertain, probabilistic, and weakly structured data the application of fully automatic machine learning algorithms endan- gers the modelling of artifacts. … Related articles All 2 versions

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data BD de Vos, PA de Jong… – SPIE Medical …, 2015 – proceedings.spiedigitallibrary.org abstract Calcium burden determined in CT images acquired in lung cancer screening is a strong predictor of cardiovascular events (CVEs). This study investigated whether subjects undergoing such screening who are at risk of a CVE can be identified using automatic Related articles All 7 versions

Fast Automatic Heuristic Construction Using Active Learning H Leather – Languages and Compilers for Parallel Computing: …, 2015 – books.google.com … Learning based predictive modelling has rapidly emerged as a viable means to automate heuristic construction; by running example programs (opti- mized in different ways) and observing how the variations affect program run- time automatic machine learning tools can predict … Related articles All 2 versions

Detecting Digital Image Forgeries By Multi-illuminant Estimators AM Mathew, AJ Varghese – 2015 – ijifr.com … 3.5 Classification In this step an automatic machine learning approach is used to classify the feature vectors. Here naïve-Bayes classifier is used to classify each pair of faces as either consistently or inconsistently illuminated. … Related articles

Random decision forests for automatic brain tumor segmentation on multi-modal MRI images A Pinto, S Pereira, H Dinis, CA Silva… – … ), 2015 IEEE 4th …, 2015 – ieeexplore.ieee.org … initial tissue probabilities. In the current paper, we propose a fully automatic machine learning method, RDF, which incorporates context features complemented with intensity and gradient based features. The DRF is applied … Cited by 4 Related articles

Local Nonstationarity for Efficient Bayesian Optimization R Martinez-Cantin – arXiv preprint arXiv:1506.02080, 2015 – arxiv.org … Abstract Bayesian optimization has shown to be a fundamental global optimization algo- rithm in many applications: ranging from automatic machine learning, robotics, reinforcement learning, experimental design, simulations, etc. … Related articles All 3 versions

Medical Imaging 2015: Computer-Aided Diagnosis LM Hadjiiski, GD Tourassi – Proc. of SPIE Vol, 2015 – proceedings.spiedigitallibrary.org … Page 4. VESSELS, HEART AND EYE I 9414 0D Automatic machine learning based prediction of cardiovascular events in lung cancer screening data [9414-12] 9414 0E Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA) [9414-13] … All 2 versions

Stroke lesion segmentation of 3D brain MRI using multiple random forests and 3D registration CW Wang, JH Lee – … Workshop on Brainlesion: Glioma, Multiple Sclerosis, …, 2015 – Springer … 2 Methodology. A fully automatic machine learning based stroke lesion three-dimensions segmentation system is built, which consists of a feature selection method, a multi-level random forest model and a simple 3D registration approach. 2.1 Data Preparation. … Related articles All 3 versions

Convolutional Neural Networks for the Recognition of Malayalam Characters R Anil, K Manjusha, SS Kumar, KP Soman – Proceedings of the 3rd …, 2015 – Springer … Gradient descent backpropagation is one of the commonly used weight updation algorithm [7]. 2.1 Gradient Based Learning Gradient-based learning is one of the popularized methods used in automatic machine learning. Here learning machine computes a function ( , ). … Cited by 1 Related articles All 2 versions

Component-composition based heart isolation for 3D volume visualization of coronary arteries M Chen, H Zhong, Y Zheng… – 2015 IEEE 12th …, 2015 – ieeexplore.ieee.org … eliminated. mask. To trace these arteries, the first step is to detect native ostia of the left and right coronary arteries, as well as any bypass ostia. We use a fully automatic machine learning algorithm to detect them [10]. The native … Related articles All 4 versions

Mining Image Datasets MK Salekar, S Varma, R Nikhare – ijirem.org … This is one of the major tasks in the domain of image mining. Automatic machine learning and meaningful information extraction can only be realized when some objects have been identified and recognized by the machine. … Related articles

Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night D Font, M Tresanchez, D Martínez, J Moreno, E Clotet… – Sensors, 2015 – mdpi.com … In this direction, in [20], an image-processing technique was proposed to detect fruits of different degrees of ripeness by using RGB images in combination with automatic machine learning, obtaining classification ratios from 0.78 to 1.00 for different ripening conditions. … Cited by 9 Related articles All 11 versions

Differentially Private Bayesian Optimization MJ Kusner, EDUJR Gardner, R Garnett… – arXiv preprint arXiv: …, 2015 – jmlr.org Page 1. Differentially Private Bayesian Optimization Matt J. Kusner MKUSNER@WUSTL.EDU Jacob R. Gardner GARDNER.JAKE@WUSTL.EDU Roman Garnett GARNETT@WUSTL.EDU Kilian Q. Weinberger KILIAN@WUSTL.EDU Washington University in St. … Cited by 3 Related articles All 15 versions

Machine learning: how to get more out of HEP data and the Higgs Boson Machine Learning Challenge M Wolter – XXXVI Symposium on Photonics …, 2015 – proceedings.spiedigitallibrary.org … There is even a new challenge (ChaLearn Automatic Machine Learning Challenge AutoML http://codalab.org/AutoML), in which the task is to perform a fully automatic machine learning without any human intervention. Such … Related articles

Efficient and robust automated machine learning M Feurer, A Klein, K Eggensperger… – Advances in Neural …, 2015 – papers.nips.cc … Recent work has started to tackle this automated machine learning (AutoML) problem with the help of efficient Bayesian optimization methods. … Formally, this AutoML problem can be stated as follows: Definition 1 (AutoML problem). … Cited by 32 Related articles All 5 versions

BayesDB: A probabilistic programming system for querying the probable implications of data V Mansinghka, R Tibbetts, J Baxter, P Shafto… – arXiv preprint arXiv: …, 2015 – arxiv.org … Keywords: Probabilistic programming, Bayesian inference, probabilistic databases, mul- tivariate statistics, nonparametric Bayes, automatic machine learning Acknowledgements: VKM would like to thank Alexey Radul, Feras Saad, and Taylor Campbell for helpful discussions … Cited by 4 Related articles All 3 versions

Segmentation and Classification of Bone Marrow Cells Images Using Contextual Information for Medical Diagnosis of Acute Leukemias C Reta, L Altamirano, JA Gonzalez, R Diaz-Hernandez… – PloS one, 2015 – journals.plos.org … Some works combine techniques such as SVM, mean-shift, and color image segmentation, with the goal of obtaining an automatic machine-learning method to find models of the different parts of the image (ie nuclei, mature erythrocytes, and background). … Cited by 5 Related articles All 8 versions

On correlation and budget constraints in model-based bandit optimization MW Hoffman, B Shahriari, N Freitas – cs.ubc.ca … model-based bandit optimization with application to automatic machine learning Matthew W. Hoffman † , Bobak Shahriari, Nando de Freitas … Probability of error Example 2: automatic machine learning (model selection) Automating model selection for regression with scikit-learn. … All 3 versions

Pattern recognition cytometry for label-free cell classification by 2D light scattering measurements X Su, S Liu, X Qiao, Y Yang, K Song, B Kong – Optics express, 2015 – osapublishing.org … The pattern recognition cytometry adopted an AdaBoost method for the analysis of the 2D light scattering patterns. The AdaBoost method performed leave-one-out tests with automatic machine learning, which solidified our pattern recognition cytometry for cell classification. … Cited by 4 Related articles All 4 versions

ClassiMap: a new dimension reduction technique for exploratory data analysis of labeled data S Lespinats, M Aupetit… – International Journal of …, 2015 – World Scientific Page 1. ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data Sylvain Lespinats*,§ , Michaël Aupetit † and Anke Meyer-Baese ‡ *CEA/INES, Laboratory for Solar Systems (L2S) BP … Related articles All 4 versions

Linear and Kernel Classification: When to Use Which? HY Huang, CJ Lin – pdfs.semanticscholar.org … 1 Introduction Machine learning is now widely applied in many ar- eas, but its practical use remains challenging for non- experts. To make machine learning an easy-to-use tech- nique, recently automatic machine learning (autoML) has become an important research topic. … Cited by 3 Related articles All 2 versions

Redundant feature selection using permutation methods P Taylor, N Griffiths, A Bhalerao – 2015 – wrap.warwick.ac.uk Page 1. http://wrap.warwick.ac.uk Original citation: Taylor, P., Griffiths, Nathan and Bhalerao, Abhir (2015) Redundant feature selection using permutation methods. In: AutoML workshop @ ICML’15, Lille, France, 11 Jul 2015 … Page 2. ICML 2014 AutoML Workshop … Cited by 1 Related articles All 6 versions

Addressing the Cold-Start Problem in Facial Expression Recognition JL Jorro-Aragoneses, B Díaz-Agudo… – … Conference on Case- …, 2015 – Springer … We use the term semantically similar to denote those features that allows us to group users with similar facial expressions. Initially, we tried to apply automatic machine learning approaches -such as clustering techniques- to obtain these groups of users with similar expressions. … Related articles

Addressing the Cold-Start Problem in Facial Expression Recognition L Jose, B D?az-Agudo… – Case-Based Reasoning …, 2015 – books.google.com … We use the term semantically similar to denote those features that allows us to group users with similar facial expressions. Initially, we tried to apply automatic machine learning approaches-such as clustering techniques-to obtain these groups of users with similar expressions. … Related articles

Supplementary Material for Efficient and Robust Automated Machine Learning M Feurer, A Klein, K Eggensperger, JT Springenberg… – papers.nips.cc … Since we are interested in scaling our AutoML system to medium to large datasets we only use online learning algorithms from this category: Linear Classification via online stochastic gradient descent (SGD) either with a negative log likelihood, a hinge or a Huber los, and … Related articles All 2 versions

Data mining of vehicle telemetry data P Taylor – 2015 – wrap.warwick.ac.uk … Redundant feature selection using permutation methods. In Automatic Machine Learning Workshop, pages 1–8, July 2015 This paper introduced a method for computing efficiently the redundancies of features while using the permutation method. The work is presented … Related articles All 3 versions

[BOOK] Privacy aware social information retrieval and spam filtering using folksonomies BN Bullock – 2015 – opus.bibliothek.uni-wuerzburg.de Page 1. Privacy aware social information retrieval and spam filtering using folksonomies Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius–Maximilians–Universität Würzburg vorgelegt von Beate Navarro Bullock aus Nürnberg … Related articles All 4 versions

Initializing Bayesian Hyperparameter Optimization via Meta-Learning. M Feurer, JT Springenberg, F Hutter – AAAI, 2015 – pdfs.semanticscholar.org … Due to space restric- tions, we only report results for the best of these instantia- tions; for more results, please see the supplementary material: www.automl.org/aaai2015-mi-smbo- supplementary.pdf Concerning distance measures, we found the results with dp and dc distance … Cited by 40 Related articles All 4 versions

Beyond manual tuning of hyperparameters F Hutter, J Lücke, L Schmidt-Thieme – KI-Künstliche Intelligenz, 2015 – Springer … learning. Keywords Hyperparameter optimization Á Automatic machine learning Á Autonomous learning Á Deep learning 1 Introduction … 34]. An open-source implementation of this approach is available at automl.org/fanova. … Cited by 5 Related articles All 2 versions

Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. K Eggensperger, F Hutter, HH Hoos… – …, 2015 – aad.informatik.uni-freiburg.de … different machine learning methods. Due to limited space, we provide more detailed results in sup- plementary material: www.automl.org/benchmarks/aaai2015- surrogates-supplementary.pdf Experimental Setup We experimented … Cited by 12 Related articles All 6 versions

Using internal validity measures to compare clustering algorithms T Van Craenendonck, H Blockeel – AutoML Workshop at ICML …, 2015 – lirias.kuleuven.be Abstract: Recently, significant effort has been made to automate the machine learning process in the context of supervised learning. This automation includes, amongst other things, the selection of an appropriate learning algorithm and corresponding Related articles All 4 versions

Hyperparameter Search in Machine Learning M Claesen, B De Moor – arXiv preprint arXiv:1502.02127, 2015 – arxiv.org … Common loss functions include 1Such as http://www.automl.org/ and https://www.codalab. org/competitions/2321. Agadir, June 7-10, 2015 Page 2. 14–2 MIC 2015: The XI Metaheuristics International Conference mean squared error and error rate. … Cited by 1 Related articles All 9 versions

Meta-Algorithmic Techniques H Hoos – Constraints, Optimization and Data, 2015 – Citeseer … Parameter importance techniques that can be used to assess which of a given set of parameters of an algorithm impact performance most, individually or in combination with others Functional ANOVA, see h ttp://www. automl. org/fanova–designed to be easy to use. … All 7 versions

Towards Killer Applications S Nijssen, B O’Sullivan – Constraints, Optimization and Data, 2015 – Citeseer … competitions on Kaggle, http://www. kaggle. com. the configurable SAT Solver Challenge, http://aclib. net/cssc2014/. the AutoML Challenge (run by ChaLearn), http://codalabtest. cloudapp. net/competitions/ 762. 4.5. 4 What Applications would have a Massive Effect (in 5 years)? … Related articles All 7 versions

Reports on the 2015 AAAI Workshop series SV Albrecht, JC Beck, DL Buckeridge, A Botea… – AI …, 2015 – go.galegroup.com … and tutorials, for example, several workshops on configuration and selection of algorithms (COSEAL), the workshop on automated selection and tuning of algorithms at PPSN 2012, the Bayesian optimization workshops at NIPS 2012, NIPS 2014, the AutoML workshop at ICML … All 5 versions

Inference of human beings’ emotional states from speech in human–robot interactions L Devillers, M Tahon, MA Sehili… – International Journal of …, 2015 – Springer … Most current approaches are based on automatic machine learning techniques to acquire models for prototypical emotions (based on expressions annotated on a representative corpus) in order to detect similar patterns in new test expressions. … Cited by 8 Related articles All 2 versions

Learning by sampling for white blood cells segmentation C Di Ruberto, A Loddo, L Putzu – International Conference on Image …, 2015 – Springer … erythrocytes, nuclei and cytoplasm of white blood cells. We want to develop an automatic machine learning to perform image segmentation of blood and bone marrow cells images. SVM (Support Vector Machines) and ANN (Arti … Cited by 4 Related articles All 2 versions

Advances in Visual Concept Detection: Ten years of TRECVID V Viitaniemi, M Sjöberg, M Koskela… – Advances in …, 2015 – books.google.com … examples than what are typically available at query time. The automatic machine learning-based approach is scalable to large numbers of multimedia objects and features. The introduction of large-scale multimedia ontologies, such … Cited by 4 Related articles

Fuzzy NN time series forecasting JJ Flores, F González-Santoyo, B Flores… – Scientific Methods for the …, 2015 – Springer … Keywords. Time series forecasting Fuzzy reasoning Automatic machine learning. 1 Introduction. A time series is defined as a set of quantitative observations arranged in chronological order (Gebhard Kirchgssner 2013), where we generally assume that time is a discrete variable. … Cited by 2 Related articles All 3 versions

Binary and multi-class Parkinsonian disorders classification using support vector machines R Morisi, G Gnecco, N Lanconelli, S Zanigni… – Iberian Conference on …, 2015 – Springer … In order to improve the accuracy of clinical diagnostic criteria, various promising biomarkers have been identified [1]. These biomarkers can be provided to an automatic machine learning method, such as SVMs, in order to improve the diagnostic accuracy and to help the … Cited by 2 Related articles All 10 versions

A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation C Di Ruberto, A Loddo, L Putzu – … on Computer Analysis of Images and …, 2015 – Springer … erythrocytes, nuclei and cytoplasm of white blood cells. We wanted to develop an automatic machine learning to perform image segmentation of blood and bone marrow cells images. SVM (Support Vector Machines) and ANN (Artificial … Cited by 3 Related articles

Text Detection in Natural Images Using Localized Stroke Width Transform W Dong, Z Lian, Y Tang, J Xiao – International Conference on Multimedia …, 2015 – Springer … Hybrid methods perform well in the ap- plication of text detection by integrating advantages of different kinds of methods. But their performance depends largely on the manual parameter tuning or the training data used in automatic machine learning. Recently, Yao et al. … Cited by 2 Related articles All 2 versions

Interactive Refinement of Linked Data: Toward a Crowdsourcing Approach B Roengsamut, K Kuwabara – Asian Conference on Intelligent Information …, 2015 – Springer … pruning, refinement, and evaluation. The authors of this paper consider ontology learning as semi-automatic machine learning with human intervention for constructing ontologies for the Semantic Web. Ontology learning focuses … Cited by 1 Related articles

Early Stage Internet Traffic Identification Using Probabilistic Neural Networks L Peng – International Journal of Computer and …, 2015 – search.proquest.com … performances [10]. B. Hullr et al. proposed an automatic machine learning based method consuming limited computational and memory resources for P2P traffic identification at early stage [11]. A. Dainotti et al. [12] construct … Related articles All 3 versions

A new approach of web directory creation and personalization APMS Darokar – ijsetr.org … community web directory by applying personalization to web directory which will become automatic machine learning process [3]. The explosive amount of information available on the web, it become the important platform to add, update and retrieve the information and mine … Related articles All 2 versions

Bibliometric study of the scientific research on “Learning to Rank” between 2000 and 2013 OJ Alejo-Machado, JM Fernández-Luna, JF Huete – Scientometrics, 2015 – Springer … For this purpose, automatic machine learning technologies were used to optimize an IR measure on test data. Once the model has been built, when a new query is received, the system returns a list of documents which are ranked by the trained ranking model. … Related articles All 3 versions

Vineyard yield estimation based on the analysis of high resolution images obtained with artificial illumination at night D Font Calafell, M Tresánchez Ribes… – Sensors, 2015, vol. …, 2015 – repositori.udl.cat … In this direction, in [20], an image-processing technique was proposed to detect fruits of different degrees of ripeness by using RGB images in combination with automatic machine learning, obtaining classification ratios from 0.78 to 1.00 for different ripening conditions. …

A Holistic Classification Optimization Framework with Feature Selection, Preprocessing, Manifold Learning and Classifiers F Bürger, J Pauli – … Conference on Pattern Recognition Applications and …, 2015 – Springer … Automatic machine learning optimization frameworks try to find a suitable classifier model or a complete classification processing pipeline that fits to a given dataset T. A standard approach is the tuning of hyperparameters of a single classifier, eg the SVM. … Cited by 1 Related articles

A New Ethical And Political Paradigm. The Current Political Crisis G Alina-Catrinel – THE INTERNATIONAL CONFERENCE IN … – academia.edu Page 132. THE INTERNATIONAL CONFERENCE IN ECONOMICS AND ADMINISTRATION ? ICEA–FAA 2015? June 5-6, 2015? http://conference. faa. ro? ISSN: 2284–9580? ISSN-L: 2284–9580 The Faculty of Business … Related articles All 2 versions

Locally-Biased Bayesian Optimization using Nonstationary Gaussian Processes R Martinez-Cantin – bayesopt.github.io … Abstract Bayesian optimization is becoming a fundamental global optimization algorithm in many applications where sample efficiency is needed, ranging from automatic machine learning, robotics, reinforcement learning, experimental design, simula- tions, etc. … Cited by 1 Related articles

Effective packet number for early stage internet traffic identification L Peng, B Yang, Y Chen – Neurocomputing, 2015 – Elsevier … Hullár et al. proposed an automatic machine learning based method consuming limited computational and memory resources for P2P traffic identification at the early stage [24]. Dainotti et al. [9] construct high effective hybrid classifiers for early stage traffic classification. … Cited by 3 Related articles All 2 versions

Advances in Interactive Knowledge Discovery (15w2181-July 24–26, 2015) A Holzinger, R Goebel, V Palade, M Ferri, K Morik… – birs.ca … However, in complex domains such as biomedicine, where we deal with uncertain, probabilistic, noisy, incomplete and weakly structured data of high-dimensions the application of fully automatic machine learning algorithms endangers the modelling of artifacts. … Related articles All 5 versions

Generating Justifications of Machine Learning Predictions O Biran, K McKeown – 1st International Workshop on Data-to-text …, 2015 – cs.columbia.edu … 2014. Justification narratives for individual classifications. In Proceed- ings of the AutoML workshop at the International Conference of Machine Learning (ICML), Beijing, China, June. Jonathan L. Herlocker, Joseph A. Konstan, and John Riedl. 2000. … Cited by 1 Related articles

Flexible neural trees based early stage identification for IP traffic Z Chen, L Peng, C Gao, B Yang, Y Chen, J Li – Soft Computing, 2015 – Springer … et al. 2013). Hullár et al. proposed an automatic machine-learning- based method consuming limited computational and memory resources for P2P traffic identification at early stage (Hullár et al. 2011). Dainotti et al. (2011) construct … Cited by 1 Related articles

A semi-automatic emerging technology trend classifier using SCOPUS and PATSTAT K Seonho, Y Woondong, C Byong-Youl, R Waqas… – 2015 – hypatia.teiath.gr … paper, an emerging trend detection classifier is proposed which uses both academic and industrial data, SCOPUS [1] and PATSTAT [2]. Unlike most previous research, our emerging technology trend classifier utilizes supervised, semi-automatic, machine learning techniques to … Cited by 1 Related articles All 3 versions

Insights on the Use of Convolutional Neural Networks for Document Image Binarization J Pastor-Pellicer, S España-Boquera… – … Work-Conference on …, 2015 – Springer … This work relies on the use of automatic machine learning techniques to allow the system to select the best features for this classification task. Indeed, previous work based on MLPs [4,10] has already shown that it is possible to use supervised learning techniques successfully. … Cited by 1 Related articles

Integrated and Personalized Diabetes Coach for Children A Harris, A Durresi, M Tuceryan… – … (WAINA), 2015 IEEE …, 2015 – ieeexplore.ieee.org … documenting the leftovers. Our approach is based on the estimation of food size by image processing and food type by voice description or automatic machine learning constrained by location information. Location information … Related articles All 4 versions

Sentiment analysis for health care MT Khan, S Khalid – International Journal of Privacy and Health …, 2015 – igi-global.com … The recent advancements in hardware technologies have made it possible to process the large-scale sentiment data through automatic machine learning techniques. These techniques perform heavy statistical evaluations to predict prominent semantic patterns. … Cited by 6 Related articles All 2 versions

Multineuronal spike sequences repeat with millisecond precision K Matsumoto, T Ishikawa, N Matsuki… – Neural Circuits: …, 2015 – books.google.com … baseline (Figure 1A). Spike timing was defined as the onset of individual calcium transients with an automatic machine-learning algorithm that can accurately detect spike timing within one frame jitter (Sasaki et al., 2008). In some … Cited by 7 Related articles All 11 versions

Automatic Identification of Reticular Pseudodrusen Using Multimodal Retinal Image AnalysisRPD Detection by Multimodality Grading MJJP van Grinsven, GHS Buitendijk… – … & visual science, 2015 – iovs.arvojournals.org Cited by 4 Related articles All 6 versions

Towards cognitive automation of data science A Biem, MA Butrico, MD Feblowitz, T Klinger… – …, 2015 – pdfs.semanticscholar.org … In IEEE VAST. Ranganathan, A.; Riabov, A.; and Udrea, O. 2009. Mashup-based information retrieval for domain experts. In CIKM, 711–720. Samulowitz, H.; Sabharwal, A.; and Reddy, C. 2014. Cognitive automation of data science. In ICML AutoML Workshop. 4269 Cited by 1 Related articles All 6 versions

Automatic Supporting System for Regionalization of Ventricular Tachycardia Exit Site in Implantable Defibrillators M Sanromán-Junquera, I Mora-Jiménez, J Almendral… – PloS one, 2015 – journals.plos.org … Therefore, our aim in this work was to propose, test the general feasibility, and technically evaluate an operative and automatic machine learning system to support ablation procedures for the anatomical region identification of LVTES when the 12-lead ECG is not available and … Related articles All 8 versions

Design and implementation of content based image retrieval using data mining and image processing techniques AW Hole, LR Prabhakar – database, 2015 – ijarcsms.com … image. This is one of the major tasks in image mining. Automatic machine learning and meaningful information extraction can only be realized when some objects have been identified and recognized by the machine. An object … Cited by 3 Related articles All 2 versions

Bayesian optimization of text representations D Yogatama, NA Smith – arXiv preprint arXiv:1503.00693, 2015 – arxiv.org Page 1. Bayesian Optimization of Text Representations Dani Yogatama Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, USA dyogatama@cs.cmu.edu Noah A … Cited by 4 Related articles All 4 versions

Agnostic Bayes A Lacoste – 2015 – theses.ulaval.ca … Artificial Intelligence, AUAI Press, 2014. Published: Yes Main Author: Alexandre Lacoste My Contribution: Major An early version of this work was also presented in the ICML AutoML Workshop in June 2014. In this work, I am … Cited by 2 Related articles All 2 versions

Walking pattern classification using a granular linguistic analysis D Sanchez-Valdes, A Alvarez-Alvarez, G Trivino – Applied Soft Computing, 2015 – Elsevier … Nevertheless, we could use an automatic machine learning technique to tune the elements of the FFSM as explained in [15], where the interested reader can find a more detailed description of the FFSM paradigm and its applications. … Cited by 6 Related articles All 5 versions

Application of Interactive Classification System in University Study Course Comparison O Vasilecas, E Rencis, I Birzniece, P Rudzajs… – Informatics in Education …, 2015 – ceeol.com … classification system allows to classify educational data, which often comes in unstructured or semi-structured, incomplete and/or insufficient form, thus reducing the number of misclassified instances significantly in comparison with the automatic machine learning approach. … Related articles

Fully Automatic Machine Learning: Hyper-parameter Optimization and Model Selection with Scikit-learn R Blok, S Nijssen, E Schultes – liacs.leidenuniv.nl … For this study, such automatic machine learning will be inves- tigated. 4 Page 9. Chapter 2 Research question … To participate in this phase it is required to submit code in the Tweakathon phase. • AutoML: submitted code is ”blind tested” in limited time on the CodaLab platform. … Related articles

LAB-IN-A-BOX: semi-automatic tracking of activity in the medical office N Weibel, S Rick, C Emmenegger, S Ashfaq… – Personal and Ubiquitous …, 2015 – Springer … Although we recognize the value of manual coding and automatic machine-learning-based algorithms for audio segmentation, we feel that current technologies based on microphone arrays can safely be employed for simpler spatial segmentation of audio coming from different … Cited by 11 Related articles All 8 versions

Benchmarking of LUCC modelling tools by various validation techniques and error analysis T Houet – researchgate.net … categorical suitability maps. In the LCM model, the user introduces relevant drivers and the type and strength of the LUCCs are determined with a multilayer perceptron, which is an automatic machine learning algorithm. The Dinamica … Related articles

Public Opinion Mining For Effective Policy Making MAV Pandhare, A Alvi – ijrat.org … its polarity value. It is also called Automatic Machine Learning Approach. Now the word which is from the user are then compare with existing word in database and its polarity is check and its polarity is added to a variable. If … Related articles

Mission Impact Assessment in Power Grids M Lange, M Krotofil, R Möller – Assessing Mission Impact of Cyberattacks – researchgate.net … Also, models acquired based on human input cannot automatically adopt to a changing environ- ment. Hence, an automatic, machine learning based ap- proach to obtaining a model of the communication net- work is sought for in the context of this work. …

Optimizing deep learning hyper-parameters through an evolutionary algorithm SR Young, DC Rose, TP Karnowski, SH Lim… – Proceedings of the …, 2015 – dl.acm.org … JMLR: W&CP volume 28. [4] Bergstra, J. et al. 2014. Preliminary evaluation of hyperopt algorithms on HPOLib. International Conference on Machine Learning AutoML Workshop, 2014. [5] Breuel, TM 2015. The effects of hyperparameters on SGD training of neural networks. … Cited by 3 Related articles

Introduction to Intelligent Decision Support Systems A Kaklauskas – Biometric and Intelligent Decision Making Support, 2015 – Springer … al. 2001). Attonaty et al. (1999) present potential opportunities provided by the new techniques offered by artificial intelligence, such as automatic machine learning and multi-agent modeling. García-Cascales et al. (2007) analyze … Related articles

Automating model search for large scale machine learning ER Sparks, A Talwalkar, D Haas, MJ Franklin… – Proceedings of the …, 2015 – dl.acm.org … In this work, we build upon these recent efforts and propose an architecture for automatic machine learning at scale comprised of a cost-based cluster resource allocation estimator, advanced hyper- parameter tuning techniques, bandit resource allocation via runtime algorithm … Cited by 19 Related articles All 7 versions

Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization R Lorenz, RP Monti, IR Violante, AA Faisal… – arXiv preprint arXiv: …, 2015 – arxiv.org … Proc of the 27th Int Conf on Machine Learning (ICML) (2010) 8. Hoffman, MD, Shahriari,B., de Freitas, N.: On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. Proc. … Cited by 2 Related articles All 5 versions

Introducing Sacred: A Tool to Facilitate Reproducible Research K Greff, J Schmidhuber – indico.lal.in2p3.fr Page 1. ICML 2015 AutoML Workshop Introducing Sacred: A Tool to Facilitate Reproducible Research Klaus Greff klaus@idsia.ch Jürgen Schmidhuber juergen@idsia.ch The Swiss AI Lab IDSIA Universit`a della Svizzera italiana … Related articles

Automatic Inference for Inverting Software Simulators via Probabilistic Programming A Saeedi, V Firoiu, V Mansinghka – arXiv preprint arXiv:1506.00308, 2015 – arxiv.org Page 1. ICML 2014 AutoML Workshop Automatic Inference for Inverting Software Simulators via Probabilistic Programming Ardavan Saeedi ardavans@mit.edu Vlad Firoiu vladfi@mit.edu Vikash Mansinghka vkm@mit.edu Abstract … Related articles All 2 versions

Improving reproducibility of data science experiments T Likhomanenkoa, A Rogozhnikova, A Baranova… – openlab.web.cern.ch Page 1. ICML 2015 AutoML Workshop Improving reproducibility of data science experiments Tatiana Likhomanenkoa,b,c antares@yandex-team.ru Alexey Rogozhnikova,b axelr@yandex- team.ru Alexander Baranova sashab1@yandex-team.ru Egor Khairullina … Cited by 1 Related articles All 2 versions

Active Structure Discovery for Gaussian Processes G Malkomes, R Garnett – indico.lal.in2p3.fr Page 1. ICML 2015 AutoML Workshop Active Structure Discovery for Gaussian Processes Gustavo Malkomes and Roman Garnett {luizgustavo, garnett}@wustl.edu Department of Computer Science and Engineering Washington University in St. Louis, St. … Related articles

Autograd: Effortless Gradients in Numpy D Maclaurin, D Duvenaud, RP Adams – indico.lal.in2p3.fr Page 1. ICML 2015 AutoML Workshop Autograd: Effortless Gradients in Numpy Dougal Maclaurin dmaclaurin@physics.harvard.edu David Duvenaud dduvenaud@seas. harvard.edu Ryan P. Adams rpa@seas.harvard.edu Abstract … Cited by 3 Related articles

An Integrator Tool for Object Class Recognition in Digital Imagery VA De Melo, MCM Neto – prpgi.ifba.edu.br … The automatic machine learning is typically used in clustering and classification, signature composition, similarity measures tuning and technical basis for search schemes. Another shortcoming is the lack of methods and techniques that deal with segmentation. …

Credit Scoring using Multiobjective Data Mining DD Wu, DL Olson – Enterprise Risk Management in Finance, 2015 – Springer Page 1. Introduction The technique for order preference by similarity to ideal solution (TOPSIS) is a classical method first developed by Hwang and Yoon,1 subsequently discussed by many. 2 TOPSIS is based on the concept … Related articles

Hyperopt: a Python library for model selection and hyperparameter optimization J Bergstra, B Komer, C Eliasmith… – … Science & Discovery, 2015 – iopscience.iop.org Cited by 7 Related articles All 3 versions

Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach LM Rodriguez, DD Fushman – AMIA Annual Symposium …, 2015 – ncbi.nlm.nih.gov … Our study demonstrates that it is possible to extract useful clinical information from free text using automatic machine learning algorithms, although more work is needed, as indicated by the 89% F1 score when comparing the known SPL category assignments and Micromedex … Related articles All 4 versions

What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents M Urschler, S Grassegger, D Štern – Annals of human biology, 2015 – Taylor & Francis … Subject data from MRI. For development of an automatic machine learning-based age estimation software, a dataset of left hand and wrist MR images of volunteering healthy male European-derived children from Austria was used. … Cited by 6 Related articles All 5 versions

Gradient-based hyperparameter optimization through reversible learning D Maclaurin, D Duvenaud, RP Adams – Proceedings of the 32nd …, 2015 – jmlr.org Page 1. Gradient-based Hyperparameter Optimization through Reversible Learning Dougal Maclaurin† MACLAURIN@PHYSICS.HARVARD.EDU David Duvenaud† DDUVENAUD@SEAS. HARVARD.EDU Ryan P. Adams RPA@SEAS.HARVARD.EDU Abstract … Cited by 29 Related articles All 10 versions

Breaking text-based CAPTCHAs with variable word and character orientation O Starostenko, C Cruz-Perez, F Uceda-Ponga… – Pattern Recognition, 2015 – Elsevier A novel approach for automatic segmentation and recognition of CAPTCHAs with variable orientation and random collapse of overlapped characters is presented in t. Cited by 10 Related articles All 3 versions

Conceptual schema extraction using POS annotations and weighted edit distance algorithm R Shinde, R Kulkarni, M Patwardhan… – Information …, 2015 – ieeexplore.ieee.org … higher range. VII. CONCLUSION AND FUTURE WORK In this paper we have presented a semi-automatic machine learning based approach for creation of a Data Model for a given natural language representation. The approach …

Real-time data analysis at the LHC: present and future VV Gligorov – arXiv preprint arXiv:1509.06173, 2015 – jmlr.org … trying a few reasonable configurations. Recent work (Benbouzid et al. (2011)) in data science opens the possibility of an automatic, machine learning based, design of such analysis cascades. In particular, this paper showed … Related articles All 7 versions

A Gaussian Process Model of Quasar Spectral Energy Distributions A Miller, A Wu, J Regier, J McAuliffe, D Lang… – Advances in Neural …, 2015 – papers.nips.cc … [8] David W Hogg. Distance measures in cosmology. arXiv preprint astro-ph/9905116, 1999. [9] Dougal Maclaurin, David Duvenaud, and Ryan P. Adams. Autograd: Reverse-mode differen- tiation of native python. ICML workshop on Automatic Machine Learning, 2015. … Cited by 1 Related articles All 5 versions

Ontology matching: A literature review L Otero-Cerdeira, FJ Rodríguez-Martínez… – Expert Systems with …, 2015 – Elsevier The amount of research papers published nowadays related to ontology matching is remarkable and we believe that reflects the growing interest of the research co. Cited by 70 Related articles All 7 versions

Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves T Domhan, JT Springenberg… – Proceedings of the 24th …, 2015 – pdfs.semanticscholar.org Page 1. Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves Tobias Domhan, Jost Tobias Springenberg, Frank Hutter University of Freiburg Freiburg, Germany {domhant,springj,fh}@cs.uni-freiburg.de Abstract … Cited by 18 Related articles All 6 versions

Analysis of XDMoD/SUPReMM data using machine learning techniques SM Gallo, JP White, RL DeLeon… – 2015 IEEE …, 2015 – ieeexplore.ieee.org … 647 Page 7. metrics currently included in the XDMoD data warehouse, this signature can be used as the basis for automatic machine learning classification. Other SUPReMM metrics can be added to the job data that may further improve the job classifiers. … Cited by 4 Related articles All 5 versions

Dynamic simulation of forest management normative scenarios: the case of timber plantations in the southern Chile N Maestripieri, T Houet, M Paegelow, G Selleron… – Futures, 2015 – Elsevier Accounting for spatial issues (spatially explicit simulation, geographical amenities and advantages of land use and cover changes, etc.) to build prospective sc. Cited by 1 Related articles All 2 versions

[BOOK] Biometric and intelligent decision making support A Kaklauskas – 2015 – Springer Page 1. Intelligent Systems Reference Library 81 Arturas Kaklauskas Biometric and Intelligent Decision Making Support Page 2. Intelligent Systems Reference Library Volume 81 Series editors Janusz Kacprzyk, Polish Academy … Cited by 13 Related articles All 4 versions

Automatic ICD-10 classification of cancers from free-text death certificates B Koopman, G Zuccon, A Nguyen, A Bergheim… – International journal of …, 2015 – Elsevier Death certificates provide an invaluable source for cancer mortality statistics; however, this value can only be realised if accurate, quantitative data can be. Cited by 7 Related articles All 9 versions

Toward cognitive pipelines of medical assistance algorithms P Philipp, M Maleshkova, D Katic, C Weber… – International journal of …, 2015 – Springer Page 1. Int J CARS DOI 10.1007/s11548-015-1322-y ORIGINAL ARTICLE Toward cognitive pipelines of medical assistance algorithms Patrick Philipp1 · Maria Maleshkova1 · Darko Katic2 · Christian Weber4 · Michael Götz4 … Cited by 6 Related articles All 4 versions

Automated Classification to Predict the Progression of Alzheimer’s Disease Using Whole-Brain Volumetry and DTI WB Jung, YM Lee, YH Kim… – Psychiatry …, 2015 – synapse.koreamed.org … Conclusions. We introduced multimodal MRI measures to identify brain regions and imaging parameters damaged by AD pathology. Automatic machine learning was conducted to classify the subjects based on imaging markers. … Cited by 4 Related articles All 15 versions

Unbounded Bayesian Optimization via Regularization B Shahriari, A Bouchard-Côté, N de Freitas – arXiv preprint arXiv: …, 2015 – jmlr.org Page 1. Unbounded Bayesian Optimization via Regularization Bobak Shahriari Alexandre Bouchard-Côté Nando de Freitas University of British Columbia bshahr@cs.ubc.ca University of British Columbia University of Oxford Google DeepMind Abstract … Cited by 2 Related articles All 4 versions

Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons N Schilling, M Wistuba, L Drumond… – Tools with Artificial …, 2015 – ieeexplore.ieee.org Page 1. Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons Nicolas Schilling, Martin Wistuba, Lucas Drumond and Lars Schmidt-Thieme University of Hildesheim Information Systems … Related articles All 6 versions

Selecting near-optimal learners via incremental data allocation A Sabharwal, H Samulowitz, G Tesauro – arXiv preprint arXiv:1601.00024, 2015 – arxiv.org Page 1. Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal Allen Institute for AI Seattle, WA, USA AshishS@allenai.org Horst Samulowitz, Gerald Tesauro IBM Watson Research Center Yorktown … Cited by 4 Related articles All 7 versions

A discriminative graph inferring framework towards weakly supervised image parsing L Yu, BK Bao, C Xu – Multimedia Systems, 2015 – Springer Page 1. 1 3 DOI 10.1007/s00530-015-0458-5 Multimedia Systems SPECIAL ISSUE PAPER A discriminative graph inferring framework towards weakly supervised image parsing Lei Yu1 · Bing?Kun Bao1 · Changsheng Xu1 © Springer-Verlag Berlin Heidelberg 2015 … Related articles All 2 versions

Semantics for Social Media R Delmonte, R Tripodi – International Workshop on Future and Emergent …, 2015 – Springer Related articles

Combining crowd and expert labels using decision theoretic active learning AT Nguyen, BC Wallace, M Lease – Third AAAI Conference on Human …, 2015 – aaai.org Page 1. Combining Crowd and Expert Labels Using Decision Theoretic Active Learning An T. Nguyen Department of Computer Science University of Texas at Austin atn@cs.utexas.edu Byron C. Wallace and Matthew Lease … Cited by 10 Related articles All 4 versions

A Spiral Process of Modeling and Verifying the Scheduling Mechanism of OSEK/VDX in OTS/CafeOBJ Method M Zhang, T Aoki – … on Dependable Computing and Internet of …, 2015 – ieeexplore.ieee.org Page 1. A Spiral Process of Modeling and Verifying the Scheduling Mechanism of OSEK/VDX in OTS/CafeOBJ Method Min Zhang Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute, East China … Related articles

Exploring feedback strategies to improve public speaking: an interactive virtual audience framework M Chollet, T Wörtwein, LP Morency, A Shapiro… – Proceedings of the …, 2015 – dl.acm.org Page 1. Exploring Feedback Strategies to Improve Public Speaking: An Interactive Virtual Audience Framework Mathieu Chollet?1, Torsten Wörtwein†1, Louis-Philippe Morency‡, Ari Shapiro? , Stefan Scherer? ? Institute for … Cited by 10 Related articles All 4 versions

Word Sense Disambiguation with GermaNet V Henrich – 2015 – bibliographie.uni-tuebingen.de Page 1. Word Sense Disambiguation with GermaNet Semi-Automatic Enhancement and Empirical Results Dissertation zur Erlangung des akademischen Grades Doktor der Philosophie in der Philosophischen Fakultät der Eberhard Karls Universität Tübingen vorgelegt von … Related articles All 2 versions

Towards a robust people tracking framework for service robots in crowded, dynamic environments T Linder, F Girrbach, KO Arras – … (ASROB-15) at the …, 2015 – srl.informatik.uni-freiburg.de Page 1. Towards a Robust People Tracking Framework for Service Robots in Crowded, Dynamic Environments Timm Linder Fabian Girrbach Kai O. Arras Abstract—People tracking is an important prerequisite for socially compliant … Cited by 2 Related articles

One-Pass Ranking Models for Low-Latency Product Recommendations A Freno, M Saveski, R Jenatton… – Proceedings of the 21th …, 2015 – dl.acm.org Page 1. One-Pass Ranking Models for Low-Latency Product Recommendations Antonino Freno? Zalando Berlin, Germany antonino.freno@zalando.de Martin Saveski? MIT Media Lab Cambridge, USA msaveski@mit.edu Rodolphe … Cited by 1 Related articles All 5 versions

US, Saigon positions split on status of Viet Cong P AFS – digitalcommons.unomaha.edu Page 1. University of Nebraska Omaha DigitalCommons@UNO Kabul Times Digitized Newspaper Archives 12-12-1968 Kabul Times (December 12, 1968, vol. 7, no. 219) Bakhtar News Agency Follow this and additional works at: http://digitalcommons.unomaha.edu/kabultimes …

The Impact of Copycats on an Original Mobile App’s Demand: Empirical Analysis and a Method for Detecting Copycat Apps Q Wang, B Li, PV Singh – Available at SSRN 2575425, 2015 – papers.ssrn.com Page 1. Electronic copy available at: http://ssrn.com/abstract=2575425 1 The Impact of Copycats on an Original Mobile App’s Demand: Empirical Analysis and a Method for Detecting Copycat Apps … Related articles

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images D Fehr, H Veeraraghavan, A Wibmer… – Proceedings of the …, 2015 – National Acad Sciences Cited by 18 Related articles All 7 versions

Human Resource Management in Emergency Situations L Pe?i?r? – 2015 – dspace.vgtu.lt Page 1. VILNIUS GEDIMINAS TECHNICAL UNIVERSITY Lina PE?I?R? HUMAN RESOURCE MANAGEMENT IN EMERGENCY SITUATIONS DOCTORAL DISSERTATION SOCIAL SCIENCES, MANAGEMENT (03S) Vilnius 2015 Page 2. … Related articles All 2 versions

Robot In a Room: Toward Perfect Object Recognition in Closed Environments S Song, L Zhang, J Xiao, H Beyhaghi, N Dikkala… – arXiv preprint arXiv: …, 2015 – arxiv.org Cited by 2 Related articles All 7 versions

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The configurable SAT solver challenge (CSSC) F Hutter, M Lindauer, A Balint, S Bayless… – arXiv preprint arXiv: …, 2015 – arxiv.org Page 1. The Configurable SAT Solver Challenge (CSSC) Frank Huttera, Marius Lindauera, Adrian Balintb, Sam Baylessc, Holger Hoosc, Kevin Leyton-Brownc aUniversity of Freiburg, Germany bUniversity of Ulm, Germany cUniversity of British Columbia, Vancouver, Canada … Cited by 4 Related articles All 5 versions

Emotion transfer protocol V Wikström – 2015 – aaltodoc.aalto.fi Page 1. Emotion Transfer Protocol Experiments in Emotion Transmission Valtteri Wikström 2015 Master’s Thesis MA in New Media Department of Media School of Arts, Design and Architecture Aalto University Page 2. Page 3. Abstract … Related articles

Fault-tolerant entity resolution with the crowd A Gruenheid, B Nushi, T Kraska, W Gatterbauer… – arXiv preprint arXiv: …, 2015 – arxiv.org Page 1. Fault-Tolerant Entity Resolution with the Crowd Anja Gruenheid, Besmira Nushi Wolfgang Gatterbauer Tim Kraska Donald Kossmann Tepper School of Business Brown University Systems Group Carnegie Mellon University tim kraska@brown.edu Dep. … Cited by 5 Related articles All 3 versions

Smart semantic multi-channel communication J Chen – 2015 – jyx.jyu.fi Page 1. Jiawen Chen Smart Semantic Multi-channel Communication A Master’s Thesis in Information Technology February 9, 2015 University of Jyväskylä Department of Mathmatical information Technology Jyväskylä Page 2. Author: Jiawen Chen … Related articles

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Advances in meta-algorithmic software libraries for distributed automated algorithm configuration SEA Ramage – 2015 – open.library.ubc.ca Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada. Related articles All 2 versions

Automatic coronary calcium scoring in non-contrast-enhanced ECG-triggered cardiac CT with ambiguity detection JM Wolterink, T Leiner, RAP Takx… – IEEE transactions on …, 2015 – ieeexplore.ieee.org Page 1. 0278-0062 (c) 2015 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Cited by 9 Related articles All 5 versions

Machine Learning for Simplifying the Use of Cardiac Image Databases J Margeta – 2015 – hal.inria.fr Page 1. Machine Learning for Simplifying the Use of Cardiac Image Databases Jan Margeta To cite this version: Jan Margeta. Machine Learning for Simplifying the Use of Cardiac Image Databases. Machine Learning [stat.ML]. MINES ParisTech, 2015. English. … Related articles All 5 versions

Machine Learning for Simplifying the Use of Cardiac Image Databases Jan Margeta To cite this version: Jan Margeta. Machine Learning for Simplifying the Use of Cardiac Image Databases. Machine Learning [stat.ML]. MINES ParisTech, 2015. English. … Related articles All 5 versions