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Shen-Shyang Ho
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2020 – today
- 2024
- [c45]Shen-Shyang Ho
, Tarun Teja Kairamkonda
:
Change Point Detection in Evolving Graph using Martingale. SAC 2024: 466-473 - [c44]Matthew Schofield
, Ning Wang
, Shen-Shyang Ho
:
Rebalancing Shared Mobility Systems by User Incentive Schemes: State-Action Representation Design and Analysis. SAC 2024: 1045-1047 - 2023
- [c43]Purva Makarand Mhasakar
, Kevin Bhadresh Doshi, Ning Wang
, Shen-Shyang Ho
, Haibin Haibin
:
Distributed Tracking and Verifying: A Real-Time and High-Accuracy Visual Tracking Edge Computing Framework for Internet of Things. SEC 2023: 360-364 - [c42]Kousalya Soumya Lahari Voleti
, Shen-Shyang Ho
:
Personalized Learning with Limited Data on Edge Devices Using Federated Learning and Meta-Learning. SEC 2023: 378-382 - [c41]Nicholas Bovee
, Stephen Piccolo
, Shen-Shyang Ho
, Ning Wang
:
Experimental Test-Bed for Computation Offloading for Cooperative Inference on Edge Devices. SEC 2023: 383-387 - 2022
- [j20]Woon Huei Chai, Shen-Shyang Ho
, Hiok Chai Quek
:
Representation recovery via L1-norm minimization with corrupted data. Inf. Sci. 595: 395-426 (2022) - [j19]Woon Huei Chai, Shen-Shyang Ho
, Hiok Chai Quek
:
A Novel Quasi-Newton Method for Composite Convex Minimization. Pattern Recognit. 122: 108281 (2022) - [c40]Lubos Krcál
, Shen-Shyang Ho
, Jan Holub
:
Hierarchical Bitmap Indexing for Range Queries on Multidimensional Arrays. DASFAA (1) 2022: 509-525 - [c39]Steven E. Arroyo, Shen-Shyang Ho
:
Autoencoder Ensemble Method for Botnets Detection on IOT Devices. ICMLA 2022: 715-720 - 2021
- [c38]Dylan Perry, Ning Wang, Shen-Shyang Ho:
Energy Demand Prediction with Optimized Clustering-Based Federated Learning. GLOBECOM 2021: 1-6 - [c37]Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho
, Jonathan Moore, Logan Borys, Lucas Lavalva:
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. ICTAI 2021: 719-723 - [c36]Paolo Rommel Sanchez
, Hong Zhang, Shen-Shyang Ho, Eldon De Padua:
Comparison of One-Stage Object Detection Models for Weed Detection in Mulched Onions. IST 2021: 1-6 - [c35]Matthew Schofield, Shen-Shyang Ho, Ning Wang:
Handling Rebalancing Problem in Shared Mobility Services via Reinforcement Learning-based Incentive Mechanism. ITSC 2021: 3381-3386 - [c34]Hieu D. Nguyen, Lucas J. Lavalva, Shen-Shyang Ho, Mohammed Sarosh Khan, Nicholas Kaegi:
Optimal N-ary ECOC Matrices for Ensemble Classification. SSCI 2021: 1-8 - [i5]Lubos Krcál, Shen-Shyang Ho, Jan Holub:
Hierarchical Bitmap Indexing for Range and Membership Queries on Multidimensional Arrays. CoRR abs/2108.13735 (2021) - [i4]Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho, Jonathan Moore, Logan Borys, Lucas Lavalva:
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. CoRR abs/2109.08967 (2021) - [i3]Hieu D. Nguyen, Lucas J. Lavalva, Shen-Shyang Ho, Mohammed Sarosh Khan, Nicholas Kaegi:
Optimal N-ary ECOC Matrices for Ensemble Classification. CoRR abs/2110.02161 (2021) - 2020
- [c33]Shen-Shyang Ho
, Mathew Marchiano, Scott Zockoll, Hieu D. Nguyen:
An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher. ICTAI 2020: 249-254 - [c32]Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho:
Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j18]Jianjun Zhao, Shen-Shyang Ho
:
Improving Bayesian network local structure learning via data-driven symmetry correction methods. Int. J. Approx. Reason. 107: 101-121 (2019) - [j17]Joey Tianyi Zhou
, Ivor W. Tsang
, Shen-Shyang Ho
, Klaus-Robert Müller
:
N-ary decomposition for multi-class classification. Mach. Learn. 108(5): 809-830 (2019) - [j16]Fatemeh Amiri, Nasser Yazdani, Azadeh Shakery, Shen-Shyang Ho:
Bayesian-based Anonymization Framework against Background Knowledge Attack in Continuous Data Publishing. Trans. Data Priv. 12(3): 197-225 (2019) - [c31]Alex Lam, Matthew Schofield, Shen-Shyang Ho:
Detecting (Unusual) Events in Urban Areas using Bike-Sharing Data. LENS@SIGSPATIAL 2019: 5:1-5:7 - [c30]Shen-Shyang Ho
, Matthew Schofield, Bo Sun, Jason Snouffer, Jean Kirschner:
A Martingale-Based Approach for Flight Behavior Anomaly Detection. MDM 2019: 43-52 - 2018
- [j15]Jim Cherian, Jun Luo, Shen-Shyang Ho:
ParkLoc: Light-weight Graph-based Vehicular Localization in Parking Garages. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 99:1-99:23 (2018) - [c29]Bo Beth Sun, Eric Zielonka, Aleksandr Fritz, Matthew Schofield, Brennan Ringel, Brendan Armstrong, Shen-Shyang Ho, Anthony F. Breitzman
, Jason Snouffer, Jean Kirschner, Kimberly Davis:
Visual Analytics for Real-Time Flight Behavior Threat Assessment. IEEE BigData 2018: 3607-3612 - 2017
- [j14]Jianjun Zhao, Shen-Shyang Ho
:
Structural knowledge transfer for learning Sum-Product Networks. Knowl. Based Syst. 122: 159-166 (2017) - [c28]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh
, Liang-Tien Chia, Hiok Chai Quek
:
A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. MVA 2017: 13-16 - 2016
- [j13]Muhammad Tanveer
, Mohammad Asif Khan, Shen-Shyang Ho
:
Robust energy-based least squares twin support vector machines. Appl. Intell. 45(1): 174-186 (2016) - [j12]Muhammad Tanveer
, K. Shubham, Mujahed Aldhaifallah
, Shen-Shyang Ho
:
An efficient regularized K-nearest neighbor based weighted twin support vector regression. Knowl. Based Syst. 94: 70-87 (2016) - [j11]Shen-Shyang Ho
, Peng Dai
, Frank Rudzicz
:
Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1333-1344 (2016) - [c27]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang
, Shen-Shyang Ho:
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. AAAI 2016: 2400-2406 - [c26]Woon Huei Chai, Shen-Shyang Ho
, Chi-Keong Goh
:
Exploiting sparsity for image-based object surface anomaly detection. ICASSP 2016: 1986-1990 - [c25]Pei-Hung Chen, Shen-Shyang Ho
:
Is overfeat useful for image-based surface defect classification tasks? ICIP 2016: 749-753 - [c24]Jim Cherian, Jun Luo
, Hongliang Guo, Shen-Shyang Ho
, Richard Wisbrun:
ParkGauge: Gauging the Occupancy of Parking Garages with Crowdsensed Parking Characteristics. MDM 2016: 92-101 - [i2]Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller:
N-ary Error Correcting Coding Scheme. CoRR abs/1603.05850 (2016) - 2015
- [j10]Qingyao Wu, Jian Chen
, Shen-Shyang Ho
, Xutao Li, Huaqing Min, Chao Han:
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. Big Data Res. 2(4): 187-201 (2015) - [j9]Peng Dai
, Shen-Shyang Ho
, Frank Rudzicz
:
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer. Knowl. Based Syst. 77: 29-39 (2015) - [j8]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho
:
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(3): 430-443 (2015) - [c23]Lubos Krcál, Shen-Shyang Ho:
A SciDB-based Framework for Efficient Satellite Data Storage and Query based on Dynamic Atmospheric Event Trajectory. BigSpatial@SIGSPATIAL 2015: 7-14 - [c22]Hongliang Guo, Yubo Dong, Shen-Shyang Ho:
Stochastic location optimization in a dynamic environment. SIGSPATIAL/GIS 2015: 89:1-89:4 - [c21]Jim Cherian, Jun Luo, Hongliang Guo, Shen-Shyang Ho, Richard Wisbrun:
Poster: ParkGauge: Gauging the Congestion Level of Parking Garages with Crowdsensed Parking Characteristics. SenSys 2015: 395-396 - 2014
- [j7]Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho
, Ruichao Shi:
Collective prediction of protein functions from protein-protein interaction networks. BMC Bioinform. 15(S-2): S9 (2014) - [j6]Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng
, Shen-Shyang Ho
:
ForesTexter: An efficient random forest algorithm for imbalanced text categorization. Knowl. Based Syst. 67: 105-116 (2014) - [c20]Wye Huong Yan, Justin Ong, Shen-Shyang Ho, Jim Cherian:
Traffic incident validation and correlation using text alerts and images. SIGSPATIAL/GIS 2014: 601-604 - [c19]Woon Huei Chai, Hongliang Guo, Shen-Shyang Ho:
Robust prediction in nearly periodic time series using motifs. IJCNN 2014: 2003-2010 - [c18]Peng Dai
, Shen-Shyang Ho
:
A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors. MDM (1) 2014: 205-210 - [c17]Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho:
A Generative Model with Network Regularization for Semi-Supervised Collective Classification. SDM 2014: 64-72 - 2013
- [j5]Shen-Shyang Ho, Shuhua Ruan:
Preserving Privacy for Interesting Location Pattern Mining from Trajectory Data. Trans. Data Priv. 6(1): 87-106 (2013) - [c16]Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho:
Cluster tree based multi-label classification for protein function prediction. BIBM 2013: 513-516 - [c15]Peng Dai, Wanqing Yang, Shen-Shyang Ho
:
Predicting Mobile Call Behavior via Subspace Methods. SBP 2013: 466-475 - 2012
- [c14]Shen-Shyang Ho, Mike Lieberman, Pu Wang, Hanan Samet:
Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system. MobiGIS 2012: 25-32 - [c13]Shen-Shyang Ho:
Mining multivariate spatiotemporal patterns from heterogeneous mobility data. SIGSPATIAL/GIS 2012: 486-489 - [c12]Shen-Shyang Ho:
An effective vortex detection approach for velocity vector field. ICPR 2012: 2643-2646 - [c11]Shen-Shyang Ho:
Preserving privacy for moving objects data mining. ISI 2012: 135-137 - [i1]Shen-Shyang Ho, Harry Wechsler:
On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability. CoRR abs/1207.1379 (2012) - 2011
- [j4]Harry Wechsler, Shen-Shyang Ho:
Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning. Intell. Inf. Manag. 3(4): 142-159 (2011) - [c10]Shen-Shyang Ho, Shuhua Ruan:
Differential privacy for location pattern mining. SPRINGL 2011: 17-24 - 2010
- [j3]Shen-Shyang Ho
, Harry Wechsler:
A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2113-2127 (2010) - [c9]Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu:
Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning. KDD 2010: 135-144 - [c8]Shen-Shyang Ho
, Wenqing Tang, W. Timothy Liu, Markus Schneider:
A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events. SSDBM 2010: 96-113
2000 – 2009
- 2009
- [c7]Anand V. Panangadan, Shen-Shyang Ho, Ashit Talukder:
Cyclone tracking using multiple satellite image sources. GIS 2009: 428-431 - 2008
- [j2]Shen-Shyang Ho
, Harry Wechsler:
Query by Transduction. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1557-1571 (2008) - [c6]Shen-Shyang Ho, Ashit Talukder:
Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data. KDD 2008: 928-936 - 2007
- [j1]Roman A. Polyak, Shen-Shyang Ho
, Igor Griva:
Support vector machine via nonlinear rescaling method. Optim. Lett. 1(4): 367-378 (2007) - [c5]Shen-Shyang Ho
, Roman A. Polyak:
Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference. ICDM 2007: 505-510 - [c4]Shen-Shyang Ho, Harry Wechsler:
Detecting Changes in Unlabeled Data Streams Using Martingale. IJCAI 2007: 1912-1917 - 2005
- [c3]Shen-Shyang Ho:
A martingale framework for concept change detection in time-varying data streams. ICML 2005: 321-327 - [c2]Shen-Shyang Ho, Harry Wechsler:
Adaptive Support Vector Machine for Time-Varying Data Streams Using Martingale. IJCAI 2005: 1606-1607 - [c1]Shen-Shyang Ho, Harry Wechsler:
On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability. UAI 2005: 267-274
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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