DSAA B

84 papers

YearTitle / Authors
20172017 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2017, Tokyo, Japan, October 19-21, 2017
2017A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation.
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
2017A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
2017A Comparative Study of Performance Estimation Methods for Time Series Forecasting.
Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic
2017A Consistency-Based Multimodal Graph Embedding Method for Dimensionality Reduction.
Ilias Kalamaras, Anastasios Drosou, Eleftheria Polychronidou, Dimitrios Tzovaras
2017A Directional Change Based Trading Strategy with Dynamic Thresholds.
Nora Alkhamees, Maria Fasli
2017A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting.
Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani
2017A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization.
Phan Duy Nhat, Hoai An Le Thi
2017A Peak Detection Method to Uncover Events from Social Media.
Carmela Comito, Deborah Falcone, Domenico Talia
2017A Probabilistic, Mechanism-Indepedent Outlier Detection Method for Online Experimentation.
Yan He, Miao Chen
2017A Shape-Based Approach to Spatio-Temporal Data Analysis Using Satellite Imagery.
Darpan Baheti, Krishnan Sundara Rajan
2017A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis.
Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai
2017A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks.
Adrien Dulac, Éric Gaussier, Christine Largeron
2017An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection.
Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi
2017Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring.
Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Q. Phung
2017AnonML: Locally Private Machine Learning over a Network of Peers.
Bennett Cyphers, Kalyan Veeramachaneni
2017BJR-Tree: Fast Skyline Computation Algorithm for Serendipitous Searching Problems.
Kenichi Koizumi, Peter Eades, Kei Hiraki, Mary Inaba
2017CSAR: The Cross-Sectional Autoregression Model.
Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner
2017Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis.
Hiroki Mori, Keisuke Kawano, Hiroki Yokoyama
2017Combining Instance and Feature Neighbors for Efficient Multi-label Classification.
Len Feremans, Boris Cule, Celine Vens, Bart Goethals
2017Convolutional Neural Networks Based Multi-task Deep Learning for Movie Review Classification.
Xuanyi Li, Weimin Wu, Hongye Su
2017Copula-Based High Dimensional Cross-Market Dependence Modeling.
Jia Xu, Wei Wei, Longbing Cao
2017Coupled Bayesian Matrix Factorization in Recommender Systems.
Xueci Zhao, Chengzhang Zhu, Lizhi Cheng
2017Customizing Travel Packages with Interactive Composite Items.
Manish Singh, Ria Mae Borromeo, Anas Hosami, Sihem Amer-Yahia, Shady Elbassuoni
2017Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification.
Yi-An Lin, Hsuan-Tien Lin
2017DP-POIRS: A Diversified and Personalized Point-of-Interest Recommendation System.
Xiangfu Meng, Yanhuan Tang, Xiaoyan Zhang
2017Discovering Community Structure in Multilayer Networks.
Soumajit Pramanik, Raphael Tackx, Anchit Navelkar, Jean-Loup Guillaume, Bivas Mitra
2017Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017Dynamic and Heterogeneous Ensembles for Time Series Forecasting.
Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer
2017Enriching Course-Specific Regression Models with Content Features for Grade Prediction.
Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala
2017Ensemble-Based Location Tracking Using Passive RFID.
Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin
2017Expert Estimates for Feature Relevance are Imperfect.
Patrick M. De Boer, Marcel C. Bühler, Abraham Bernstein
2017Exploiting Digital DNA for the Analysis of Similarities in Twitter Behaviours.
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi
2017Extended Methods to Handle Classification Biases.
Emma Beauxis-Aussalet, Lynda Hardman
2017Feature Analysis for Fake Review Detection through Supervised Classification.
Julien Fontanarava, Gabriella Pasi, Marco Viviani
2017FeatureHub: Towards Collaborative Data Science.
Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni
2017Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data.
Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh
2017Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation.
Shaheen Syed, Marco R. Spruit
2017Geo-Spatial Multimedia Sentiment Analysis in Disasters.
Abdullah Alfarrarjeh, Sumeet Agrawal, Seon Ho Kim, Cyrus Shahabi
2017Heterogeneous Information Integration for Mountain Augmented Reality Mobile Apps.
Darian Frajberg, Piero Fraternali, Rocio Nahime Torres
2017HiSPEED: A System for Mining Performance Appraisal Data and Text.
Girish Keshav Palshikar, Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani
2017Identification of Signal and Noise Components in Spacecraft Neutral Particle Data Using a Bi-Level Mixture Model.
Shin'ya Nakano, Yoshifumi Futaana
2017Identifying Anomalous Nodes in Multidimensional Networks.
Amani Chouchane, Mohamed Bouguessa
2017Incremental Author Name Disambiguation for Scientific Citation Data.
Zhengqiao Zhao, Jason Rollins, Linge Bai, Gail Rosen
2017Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation.
Zhenyu Zhao, Yan He, Miao Chen
2017Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length.
Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi
2017Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization.
Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech
2017Learning Through Utility Optimization in Regression Tasks.
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
2017Learning to Compress Unstructured Mesh Data from Simulations.
Chandrika Kamath
2017Leveraging on Predictive Analytics to Manage Clinic No Show and Improve Accessibility of Care.
Guanhua Lee, Sijia Wang, Fransiscus Dipuro, Jue Hou, Priyanka Grover, Lian Leng Low, Nan Liu, Chui Yee Loke
2017M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings.
Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos
2017Machine Learning Independent of Population Distributions for Measurement.
Takashi Washio, Gaku Imamura, Genki Yoshikawa
2017Masked Conditional Neural Networks for Automatic Sound Events Recognition.
Fady Medhat, David Chesmore, John Robinson
2017Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach.
Pingjie Tang, Jed Pitera, Dmitry Zubarev, Nitesh V. Chawla
2017Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2017Mobility Genome™- A Framework for Mobility Intelligence from Large-Scale Spatio-Temporal Data.
The Anh Dang, Jayakumaran Deepak, Jingxuan Wang, Shixin Luo, Yunye Jin, Yibin Ng, Aloysius Lim, Ying Li
2017Multi-label Learning with Label-Specific Features via Clustering Ensemble.
Wang Zhan, Min-Ling Zhang
2017Multi-task Network Embedding.
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017Multiple Social Role Embedding.
Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017NDlib: Studying Network Diffusion Dynamics.
Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti
2017Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment.
Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
2017News Consumption during the Italian Referendum: A Cross-Platform Analysis on Facebook and Twitter.
Michela Del Vicario, Sabrina Gaito, Walter Quattrociocchi, Matteo Zignani, Fabiana Zollo
2017On Spectral Analysis of Directed Signed Graphs.
Yuemeng Li, Xintao Wu, Aidong Lu
2017On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning.
Daniel P. Berrar, Werner Dubitzky
2017Online k-Maxoids Clustering.
Rafet Sifa, Christian Bauckhage
2017Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2017RadiusSketch: Massively Distributed Indexing of Time Series.
Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha
2017Regression Based Model for Autosteering of a Car with Delayed Steering Response.
Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara
2017SECODA: Segmentation- and Combination-Based Detection of Anomalies.
Ralph Foorthuis
2017Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines.
Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2017Scalable RFM-enriched Representation Learning for Churn Prediction.
Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2017Semantic Trajectory Modeling for Dynamic Built Environments.
Christophe Cruz
2017Situational Awareness from Social Media Photographs Using Automated Image Captioning.
João Miguel Monteiro, Asanobu Kitamoto, Bruno Martins
2017Steganalysis Feature Subspace Selection Based on Fisher Criterion.
Chunfang Yang, Yi Zhang, Ping Wang, Xiangyang Luo, Fenlin Liu, Jicang Lu
2017Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences.
Cheng-Wei Yang, Bijay Prasad Jaysawal, Jen-Wei Huang
2017Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network.
Fangzhou Jiang, Lei Zhong, Kanchana Thilakarathna, Aruna Seneviratne, Kiyoshi Takano, Shigeki Yamada, Yusheng Ji
2017The Data and Science behind GrabShare Carpooling.
Muchen Tang, Serene Ow, Wenqing Chen, Yang Cao, Kong-wei Lye, Yaozhang Pan
2017The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction.
Sofia Fernandes, Hadi Fanaee Tork, João Manuel Portela da Gama
2017The k-Nearest Representatives Classifier: A Distance-Based Classifier with Strong Generalization Bounds.
Cyrus Cousins, Eli Upfal
2017There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas.
Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
2017Toward Optimal Streaming Feature Selection.
Noura H. Al Nuaimi, Mohammad M. Masud
2017Website Navigation Behavior Analysis for Bot Detection.
Rabih Haidar, Shady Elbassuoni
2017What Makes a Video Memorable?
Akankshya Kar, Prashasthi Mavin, Yogesh Ghaturle, Vani M.
2017Where are You Going? Next Place Prediction from Twitter.
Carmela Comito