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Result 1 – 20 of 2,653
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1 published by ACM
October 2018 CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 21,   Downloads (12 Months): 126,   Downloads (Overall): 126

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Explaining the results of data-intensive computation via provenance has been extensively studied in the literature. We focus here on explaining the output of Machine Learning Classifiers, which are main components of many contemporary Data Science applications. We have developed a simple generic approach for explaining classification results, by looking for ...
Keywords: data provenance, database constraints theory, supervised learning by classification
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2 published by ACM
August 2017 CEA2017: Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 17,   Downloads (Overall): 56

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In this paper we report our approach to image classification, in particular to the food/non-food image classification problem, as used by our Cooking Log product of Cookpad Inc. We augment our existing services with an architecture which includes a loosely-connected and asynchronous image analysis module. One challenge of the classification ...
Keywords: Cloud computing, Neural networks, Supervised learning by classification, Web services
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3 published by ACM
December 2018 ICNCC 2018: Proceedings of the 2018 VII International Conference on Network, Communication and Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 4,   Downloads (Overall): 4

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In this paper, we explore applying machine learning techniques to find a best partitioner for a given graph. We use some metrics to describe the graph, and use these metrics as the input and the partitioner ranking of a graph execution algorithm as the label to train a model. Our ...
Keywords: Machine learning, graph partition, metrics
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4 published by ACM
November 2016 ICCIP '16: Proceedings of the 2nd International Conference on Communication and Information Processing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 14,   Downloads (Overall): 14

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With the increase of electrical sensors and smart meters installed in distribution networks, the consumption load data of local electricity customers gradually shows its following properties: large scale, big variety, fast generation and low value density. These properties have brought new challenges to load pattern analysis and pattern classification, since ...
Keywords: deep learning, electricity customer classification, random weight networks
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5 published by ACM
February 2017 WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 20,   Downloads (12 Months): 153,   Downloads (Overall): 153

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Extreme multi-label classification refers to supervised multi-label learning involving hundreds of thousands or even millions of labels. Datasets in extreme classification exhibit fit to power-law distribution, i.e. a large fraction of labels have very few positive instances in the data distribution. Most state-of-the-art approaches for extreme multi-label classification attempt to ...
Keywords: multi-label learning, extreme classification, large-scale classification
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6 published by ACM
June 2017 ACM Transactions on Management Information Systems (TMIS) - WITS 2015 Special Issue: Volume 8 Issue 2-3, August 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 63,   Downloads (12 Months): 120,   Downloads (Overall): 120

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Sentiment analysis has become popular in business intelligence and analytics applications due to the great need for learning insights from the vast amounts of user generated content on the Internet. One major challenge of sentiment analysis, like most text classification tasks, is finding structures from unstructured texts. Existing sentiment analysis ...
Keywords: supervised learning, Sentiment analysis, feature extraction, text mining, dependency
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7 published by ACM
December 2018 ICVIP 2018: Proceedings of the 2018 the 2nd International Conference on Video and Image Processing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 2,   Downloads (Overall): 2

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This paper proposes a welding speed monitoring method based on the weld pool image, which can effectively monitor the welding quality. Through theoretical analysis and experiments, 660 nm band-pass and the 850 nm high-pass are selected as the optimal bands for weld pool image capturing. After capturing dual bands images, ...
Keywords: deep learning, dual-band, weld pool vision, welding speed monitoring
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8 published by ACM
June 2018 ACIT 2018: Proceedings of the 6th ACM/ACIS International Conference on Applied Computing and Information Technology
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 8,   Downloads (Overall): 8

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This is a research-in-progress of designing an intelligent morphological analysis for Artocarpus Altilis or commonly called "breadfruit." This research applied image processing, artificial intelligence (AI) and system design. Using Unmanned Aerial Vehicle (UAV), images are captured, processed and fed to the artificial intelligence for classification. The initial result yields a ...
Keywords: Artificial Neural Networks, Artocarpus, Breadfruit, Image Processing
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9 published by ACM
July 2016 GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 33,   Downloads (Overall): 110

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We develop an algorithm to evolve sets of probabilistically significant multivariate feature interactions, with co-evolved feature ranges, for classification in large, complex datasets. The datasets may include nominal, ordinal, and/or continuous features, missing data, imbalanced classes, and other complexities. Our age-layered evolutionary algorithm generates conjunctive clauses to model multivariate interactions ...
Keywords: Chagas, epistasis, hypergeometric PMF, multivariate analysis
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10 published by ACM
August 2017 WI '17: Proceedings of the International Conference on Web Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 32,   Downloads (Overall): 32

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In recent years, nonparallel support vector machine (NPSVM) is proposed as a nonparallel hyperplane classifier with superior performance than standard SVM and existing nonparallel classifiers such as the twin support vector machine (TWSVM). With the perfect theoretical underpinnings and great practical success, NPSVM has been used to dealing with the ...
Keywords: stochastic gradient descent, large-scale, nonparallel support vector machine
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11 published by ACM
December 2018 ICNCC 2018: Proceedings of the 2018 VII International Conference on Network, Communication and Computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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Routine patrolling and inspection of parking violations is a time-consuming and labour-intensive process. As such, a lightweight deep neural network approach is developed to automate parking violation detection in outdoor parking areas. An IP camera is utilized to continuously capture outdoor parking image covering multiple illegal parking regions and feed ...
Keywords: Convolutional Neural Network, Deep Learning, Image Classification, Multithreading, Parking Violation Detection
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12 published by ACM
August 2018 AIPR 2018: Proceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 49,   Downloads (Overall): 49

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CF (Collaborative filtering) algorithm has the widest and most successful applications in personalized recommendations. However, due to its over-reliance on the users' historical data, it is difficult to avoid data sparseness and cold start issues. The data sparseness and cold start may cause poor recommendation accuracy of the collaborative filtering ...
Keywords: CF algorithm, Users characteristics, personalized recommendation, trust
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13 published by ACM
February 2018 ICSCA 2018: Proceedings of the 2018 7th International Conference on Software and Computer Applications
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 58,   Downloads (Overall): 61

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Educational Data Mining can help stakeholders give appropriate decisions to improve educational experiences. New knowledge or models are realized when data mining techniques are applied on educational data. This study focuses on building classification model by utilizing data mining techniques for predicting the likelihood of a student to pass the ...
Keywords: Board Examination Performance, C4.5, Educational Data Mining, Logistic Regression, Naïve Bayes, Nueral Networks, Performance Prediction, Support Vector Machine
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14 published by ACM
August 2017 KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 20,   Downloads (12 Months): 468,   Downloads (Overall): 1,688

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Extreme multi-label classification methods have been widely used in Web-scale classification tasks such as Web page tagging and product recommendation. In this paper, we present a novel graph embedding method called "AnnexML". At the training step, AnnexML constructs a k -nearest neighbor graph of label vectors and attempts to reproduce ...
Keywords: approximate nearest neighbor search, extreme multi-label classification, k-nearest neighbor graph, learning-to-rank
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15
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 40,   Downloads (Overall): 106

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Web scale classification problems, such as Web page tagging and E-commerce product recommendation, are typically regarded as multi-label classification with an extremely large number of labels. In this paper, we propose GPT, which is a novel tree-based approach for extreme multi-label learning. GPT recursively splits a feature space with a ...
Keywords: approximate k-nearest neighbor graph, extreme multi-label classification
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16 published by ACM
July 2018 GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 48,   Downloads (Overall): 48

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Accurate early diagnosis and monitoring of neurodegenerative conditions is essential for effective disease management and treatment. This research develops automatic methods for detecting brain imaging preclinical biomarkers for olfactory dysfunction in early stage Parkinson's disease (PD) by considering the novel application of evolutionary algorithms. Classification will be applied to PD ...
Keywords: cartesian genetic programming, classification, dynamic causal modeling, evolutionary algorithms, olfactory dysfunction, parkinson's disease, resting-state fMRI
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17 published by ACM
July 2017 GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 26,   Downloads (Overall): 127

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Rule-based classification is a popular approach for solving real world classification problems. Once suitable rules have been obtained, rule-based classifiers are easy to deploy and explain. In this paper, we describe an approach that uses biogeography-based optimization (BBO) to compute rule sets that maximize predictive accuracy. BBO is an evolutionary ...
Keywords: classification, evolutionary algorithm, supervised learning
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18 published by ACM
September 2018 iWOAR '18: Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 17,   Downloads (12 Months): 108,   Downloads (Overall): 108

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Human activity recognition using wearable sensors is an area of interest for various domains like healthcare, surveillance etc. Various approaches have been used to solve the problem of activity recognition. Recently deep learning methods like RNNs and LSTMs have been used for this task. But these architectures are unable to ...
Keywords: Human activity detection, Temporal Convolutional Network, Wearable sensors
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19 published by ACM
March 2018 ISMSI '18: Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 18,   Downloads (Overall): 18

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Sentiment classification on textual reviews refers to classifying textual reviews based on whether they are positive or negative. This research focuses on classifying movie reviews, and is benchmarked on the IMDB dataset, which consists of long movie reviews, using accuracy as the evaluation metric. In sentiment classification, each document must ...
Keywords: Document Vector, Sentiment Classification, Similarity Measure, Textual Reviews
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20 published by ACM
January 2018 Workshops ICDCN '18: Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 18,   Downloads (12 Months): 18,   Downloads (Overall): 18

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Sensors embedded in smart handheld can be extremely useful in providing information on people's activities and behaviors, that can be extremely useful in smart home, smart healthcare applications. Existing work mostly uses one or more specific devices (with embedded sensors) for activity recognition and most of the time the detected ...
Keywords: fine grained activity, feature extraction, activity recognition, ubiquitous computing
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Result 1 – 20 of 2,653
Result page: 1 2 3 4 5 6 7 8 9 10 >>



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