Session B4: Supervised Learning 1
Session Chair: George Karypis (University of Minnesota, USA)
REGULAR PAPERS:
DM850 "Asynchronous Multi-Task Learning"
Inci Baytas, Ming Yan, Anil Jain, and Jiayu Zhou
DM883 "Interactive Multi-Task Relationship Learning"
Kaixiang Lin and Jiayu Zhou
SHORT PAPERS:
DM433 "Functional Regression with Mode-Sparsity Constraint"
Pei Yang and Jingrui He
DM379 "Learning Supervised Binary Hashing: Optimization vs Diversity"
Ramin Raziperchikolaei and Miguel Carreira-Perpinan
DM732 "Bayesian Rule Sets for Interpretable Classification"
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille
DM789 "Probabilistic Formulations of Regression with Mixed Guidance"
Aubrey Gress and Ian Davidson
DM1005 "Background Check: A general technique to build more reliable and versatile classifiers"
Miquel Nieto, Telmo Silva Filho, Meelis Kull, and Peter Flach
DM1026 "Optimizing the Multi-class F-measure via Biconcave Programming"
Weiwei Pan, Harikrishna Narasimhan, Purushottam Kar, Pavlos Protopapas, and Harish Ramaswamy
DM1084 "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses"
Matteo Ruggero Ronchi, Joon Sik Kim, and Yisong Yue
REGULAR PAPERS:
DM850 "Asynchronous Multi-Task Learning"
Inci Baytas, Ming Yan, Anil Jain, and Jiayu Zhou
DM883 "Interactive Multi-Task Relationship Learning"
Kaixiang Lin and Jiayu Zhou
SHORT PAPERS:
DM433 "Functional Regression with Mode-Sparsity Constraint"
Pei Yang and Jingrui He
DM379 "Learning Supervised Binary Hashing: Optimization vs Diversity"
Ramin Raziperchikolaei and Miguel Carreira-Perpinan
DM732 "Bayesian Rule Sets for Interpretable Classification"
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille
DM789 "Probabilistic Formulations of Regression with Mixed Guidance"
Aubrey Gress and Ian Davidson
DM1005 "Background Check: A general technique to build more reliable and versatile classifiers"
Miquel Nieto, Telmo Silva Filho, Meelis Kull, and Peter Flach
DM1026 "Optimizing the Multi-class F-measure via Biconcave Programming"
Weiwei Pan, Harikrishna Narasimhan, Purushottam Kar, Pavlos Protopapas, and Harish Ramaswamy
DM1084 "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses"
Matteo Ruggero Ronchi, Joon Sik Kim, and Yisong Yue
Session B6: Biomedical
Session Chair: Shinici Morishita (University of Tokyo, Japan)
REGULAR PAPERS:
DM807 "Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data"
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, and Alain Vanasse
DM1060 "Measuring Patient Similarities via A Deep Architecture with Medical Concept Embedding"
Zihao Zhu, Changchang Yin, Yu Cheng, Jishang Wei, and Buyue Qian
DM1104 "New Probabilistic Multi-Graph Decomposition Model to Identify Consistent Human Brain Network Modules"
Heng Huang
DM373 "Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression"
Yan Li, Lu Wang, Jie Wang, Jieping Ye, and Chandan Reddy
DM932 "New Robust Clustering Model for Identifying Cancer Genome Landscapes"
hongchang gao, Xiaoqian Wang, and Heng Huang
SHORT PAPERS:
DM489 "Efficient Algorithms for the Three Locus Problem in Genome-wide Association Study"
Sanguthevar Rajasekaran and Subrata Saha
DM626 "Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach"
Alejandro Garcia-Rudolph, Alberto Garcia-Molina, Eloy Opisso, and Josep Maria Tormos
REGULAR PAPERS:
DM807 "Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data"
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, and Alain Vanasse
DM1060 "Measuring Patient Similarities via A Deep Architecture with Medical Concept Embedding"
Zihao Zhu, Changchang Yin, Yu Cheng, Jishang Wei, and Buyue Qian
DM1104 "New Probabilistic Multi-Graph Decomposition Model to Identify Consistent Human Brain Network Modules"
Heng Huang
DM373 "Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression"
Yan Li, Lu Wang, Jie Wang, Jieping Ye, and Chandan Reddy
DM932 "New Robust Clustering Model for Identifying Cancer Genome Landscapes"
hongchang gao, Xiaoqian Wang, and Heng Huang
SHORT PAPERS:
DM489 "Efficient Algorithms for the Three Locus Problem in Genome-wide Association Study"
Sanguthevar Rajasekaran and Subrata Saha
DM626 "Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach"
Alejandro Garcia-Rudolph, Alberto Garcia-Molina, Eloy Opisso, and Josep Maria Tormos
Session A6: Sequences and Time Series
Session Chair: Adytia Prakash (Virginia Tech, USA)
REGULAR PAPERS:
DM567 "Time Series Motifs: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier"
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh
DM248 "Visualization of Salient Subsequences in Time Series"
Chin-Chia Michael Yeh, Helga Van Herle, and Eamonn Keogh
DM920 "Fast Warping Distance for Sparse Time Series"
Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, and Amanda Minnich
SHORT PAPERS :
DM295 "Frequent Sequence Mining with Subsequence Constraints"
Kaustubh Beedkar and Rainer Gemulla
DM559 "Second-order Online Active Learning and Its Applications"
Shuji Hao, Peilin Zhao, Jing Lu, Steven C.H. Hoi, and Chunyan Miao
DM1007 "HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification"
Jason Lines, Sarah Taylor, and Anthony Bagnall
DM221 "All Pairs Similarity Joins for Time Series Subsequences"
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Silva, Abdullah Mueen, and Eamonn Keogh
DM261 "Prefix and Suffix Invariant Dynamic Time Warping"
Diego Silva, Gustavo E.A.P.A. Batista, and Eamonn Keogh
DM378 "Dynamic Poisson Factor Analysis"
Yizhe Zhang, Ricardo Henao, and Lawrence Carin
REGULAR PAPERS:
DM567 "Time Series Motifs: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier"
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh
DM248 "Visualization of Salient Subsequences in Time Series"
Chin-Chia Michael Yeh, Helga Van Herle, and Eamonn Keogh
DM920 "Fast Warping Distance for Sparse Time Series"
Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, and Amanda Minnich
SHORT PAPERS :
DM295 "Frequent Sequence Mining with Subsequence Constraints"
Kaustubh Beedkar and Rainer Gemulla
DM559 "Second-order Online Active Learning and Its Applications"
Shuji Hao, Peilin Zhao, Jing Lu, Steven C.H. Hoi, and Chunyan Miao
DM1007 "HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification"
Jason Lines, Sarah Taylor, and Anthony Bagnall
DM221 "All Pairs Similarity Joins for Time Series Subsequences"
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Silva, Abdullah Mueen, and Eamonn Keogh
DM261 "Prefix and Suffix Invariant Dynamic Time Warping"
Diego Silva, Gustavo E.A.P.A. Batista, and Eamonn Keogh
DM378 "Dynamic Poisson Factor Analysis"
Yizhe Zhang, Ricardo Henao, and Lawrence Carin
Social Event & Gala Dinner
Wine tasting, tour and dinner at Caves Codorniu.
Session C5: Privacy
Session Chair: Tamir Tassa (Open University, Israel)
REGULAR PAPERS:
DM364 "Beyond Points and Paths: Counting Private Bodies"
Maryam Fanaeepour and Benjamin Rubinstein
DM436 "Differentially Private Regression Diagnostics"
Yan Chen, Ashwin Machanavajjhala, Jerome Reiter, and Andres Barrientos
DM767 "Auditing Black-box Models for Indirect Influence"
Philip Adler, Casey Falk, Sorelle Friedler, Gabriel Rybeck, Carlos Schedegger, Brandon Smith, and Suresh Venkatasubramanian
DM769 "College Student Scholarships and Subsidies Granting: A Multi-Modal Multi-Label Approach"
Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, and Yuan Jiang
SHORT PAPERS:
DM245 "Differential Location Privacy for Sparse Mobile Crowdsensing"
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, and Xiaojuan Ma
DM434 "Scalable Block Scheduling for Efficient Multi-Database Record Linkage"
Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen
REGULAR PAPERS:
DM364 "Beyond Points and Paths: Counting Private Bodies"
Maryam Fanaeepour and Benjamin Rubinstein
DM436 "Differentially Private Regression Diagnostics"
Yan Chen, Ashwin Machanavajjhala, Jerome Reiter, and Andres Barrientos
DM767 "Auditing Black-box Models for Indirect Influence"
Philip Adler, Casey Falk, Sorelle Friedler, Gabriel Rybeck, Carlos Schedegger, Brandon Smith, and Suresh Venkatasubramanian
DM769 "College Student Scholarships and Subsidies Granting: A Multi-Modal Multi-Label Approach"
Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, and Yuan Jiang
SHORT PAPERS:
DM245 "Differential Location Privacy for Sparse Mobile Crowdsensing"
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, and Xiaojuan Ma
DM434 "Scalable Block Scheduling for Efficient Multi-Database Record Linkage"
Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen
Session B5: Feature Selection
Session Chair: Miguel A. Carreira-Perpinan (UC Merced, USA)
REGULAR PAPERS:
DM327 "Robust Multi-View Feature Selection"
Hongfu Liu, Haiyi Mao, and Yun Fu
DM787 "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection"
Bruno Ordozgoiti, Sandra Gómez Canaval, and Alberto Mozo
DM1065 "Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings"
Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu
SHORT PAPERS:
DM380 "Feature Grouping using Weighted l1 norm for High-Dimensional Data"
Bhanukiran Vinzamuri, Karthik Padthe, and Chandan Reddy
DM877 "Toward Time-Evolving Feature Selection on Dynamic Networks"
Jundong Li, Xia Hu, Ling Jian, and Huan Liu
DM997 "Online Unsupervised Multi-view Feature Selection"
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, and Philip Yu
DM1097 "ExploreKit: Automatic Feature Generation and Selection"
Gilad Katz, Richard Shin, and Dawn Song
REGULAR PAPERS:
DM327 "Robust Multi-View Feature Selection"
Hongfu Liu, Haiyi Mao, and Yun Fu
DM787 "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection"
Bruno Ordozgoiti, Sandra Gómez Canaval, and Alberto Mozo
DM1065 "Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings"
Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu
SHORT PAPERS:
DM380 "Feature Grouping using Weighted l1 norm for High-Dimensional Data"
Bhanukiran Vinzamuri, Karthik Padthe, and Chandan Reddy
DM877 "Toward Time-Evolving Feature Selection on Dynamic Networks"
Jundong Li, Xia Hu, Ling Jian, and Huan Liu
DM997 "Online Unsupervised Multi-view Feature Selection"
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, and Philip Yu
DM1097 "ExploreKit: Automatic Feature Generation and Selection"
Gilad Katz, Richard Shin, and Dawn Song
Session A5: Graphs 1
Session Chair: Nikolaj Tatti (Aalto University, Finland)
REGULAR PAPERS:
DM424 "Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs"
Guyue Han and Harish Sethu
DM514 "Random Walk with Restart over Dynamic Graphs"
Weiren Yu and Weiren Yu
DM687 "Edge Weight Prediction in Weighted Signed Networks"
Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian, and Christos Faloutsos
SHORT PAPERS:
DM481 "Personalized Ranking in Signed Networks using Signed Random Walk with Restart"
Jinhong Jung, Woojeong Jin, Sael Lee, and U Kang
DM864 "Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models"
Alex Chin, Timothy Goodrich, Michael O'Brien, Felix Reidl, Blair Sullivan, and Drew van der Poel
DM328 "Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm"
Takuya Akiba, Kenko Nakamura, and Taro Takaguchi
DM442 "Cut Tree Construction from Massive Graphs"
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, and Yosuke Yano
REGULAR PAPERS:
DM424 "Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs"
Guyue Han and Harish Sethu
DM514 "Random Walk with Restart over Dynamic Graphs"
Weiren Yu and Weiren Yu
DM687 "Edge Weight Prediction in Weighted Signed Networks"
Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian, and Christos Faloutsos
SHORT PAPERS:
DM481 "Personalized Ranking in Signed Networks using Signed Random Walk with Restart"
Jinhong Jung, Woojeong Jin, Sael Lee, and U Kang
DM864 "Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models"
Alex Chin, Timothy Goodrich, Michael O'Brien, Felix Reidl, Blair Sullivan, and Drew van der Poel
DM328 "Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm"
Takuya Akiba, Kenko Nakamura, and Taro Takaguchi
DM442 "Cut Tree Construction from Massive Graphs"
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, and Yosuke Yano
Opening
Ricardo Baeza-Yates (NTENT, USA / UPF, Spain)
Zhi-Hua Zhou (Nanjing University)
Francesco Bonchi (ISI Foundation, Italy / Eurecat, Spain)
Josep Domingo-Ferrer (URV, Spain)
Zhi-Hua Zhou (Nanjing University)
Francesco Bonchi (ISI Foundation, Italy / Eurecat, Spain)
Josep Domingo-Ferrer (URV, Spain)