Ke Chen - RankMe

110 papers A* 1A 6B 8C 2Misc 2Journal 69Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning. CoRR Lisheng Wu, Ke Chen
2024	J	`jnl`	Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning. Mach. Learn. Lisheng Wu, Ke Chen
2023	J	`jnl`	Bias Resilient Multi-Step Off-Policy Goal-Conditioned Reinforcement Learning. CoRR Lisheng Wu, Ke Chen
2021	J	`jnl`	Multi-label classification with weighted classifier selection and stacked ensemble. Inf. Sci. Yuelong Xia, Ke Chen, Yun Yang
2020	J	`jnl`	A Framework for End-to-End Learning on Semantic Tree-Structured Data. CoRR William Woof, Ke Chen
2020	A*	`conf`	Feature Importance Ranking for Deep Learning. NeurIPS Maksymilian Wojtas, Ke Chen
2020	J	`jnl`	Feature Importance Ranking for Deep Learning. CoRR Maksymilian Wojtas, Ke Chen
2020	J	`jnl`	Multi-label zero-shot human action recognition via joint latent ranking embedding. Neural Networks Qian Wang, Ke Chen
2019	J	`jnl`	Learning-Based Video Game Development in MLP@UoM: An Overview. CoRR Ke Chen
2019	J	`jnl`	Person Re-Identification With Joint Verification and Identification of Identity-Attribute Labels. IEEE Access Shun Zhang, Yantao He, Jiang Wei, Shaohui Mei, Shuai Wan, Ke Chen
2019	J	`jnl`	Towards Further Understanding of Sparse Filtering via Information Bottleneck. CoRR Fabio Massimo Zennaro, Ke Chen
2019	Misc	`conf`	Transferable Positive/negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. ICASSP Hao Zhou, Ke Chen
2018	J	`jnl`	A computational cognitive framework of spatial memory in brains and robots. Cogn. Syst. Res. Tamas Madl, Stan Franklin, Ke Chen, Robert Trappl
2018	J	`jnl`	Deploying learning materials to game content for serious education game development: A case study. Entertain. Comput. Harits Ar Rosyid, Matt Palmerlee, Ke Chen
2018	J	`jnl`	Learning Constructive Primitives for Real-Time Dynamic Difficulty Adjustment in Super Mario Bros. IEEE Trans. Games Peizhi Shi, Ke Chen
2018	—	`conf`	Learning to Play General Video-Games via an Object Embedding Network. CIG William Woof, Ke Chen
2018	J	`jnl`	Learning to Play General Video-Games via an Object Embedding Network. CoRR William Woof, Ke Chen
2018	J	`jnl`	Towards understanding sparse filtering: A theoretical perspective. Neural Networks Fabio Massimo Zennaro, Ke Chen
2018	J	`jnl`	Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation. CoRR Hao Zhou, Ke Chen
2017	—	`conf`	Alternative Semantic Representations for Zero-Shot Human Action Recognition. ECML/PKDD (1) Qian Wang, Ke Chen
2017	J	`jnl`	Alternative Semantic Representations for Zero-Shot Human Action Recognition. CoRR Qian Wang, Ke Chen
2017	J	`jnl`	Learning Contextualized Music Semantics from Tags Via a Siamese Neural Network. ACM Trans. Intell. Syst. Technol. Ubai Sandouk, Ke Chen
2017	J	`jnl`	Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding. CoRR Qian Wang, Ke Chen
2017	J	`jnl`	Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games David L. Buckley, Ke Chen, Joshua D. Knowles
2017	J	`jnl`	Zero-Shot Visual Recognition via Bidirectional Latent Embedding. Int. J. Comput. Vis. Qian Wang, Ke Chen
2016	J	`jnl`	A survey on touch dynamics authentication in mobile devices. Comput. Secur. Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen
2016	J	`jnl`	Deploying learning materials to game content for serious education game development: A case study. CoRR Harits Ar Rosyid, Matt Palmerlee, Ke Chen
2016	—	`conf`	Exploring a Mixed Representation for Encoding Temporal Coherence. ECML/PKDD (2) Jon Parkinson, Ubai Sandouk, Ke Chen
2016	J	`jnl`	Learning contextualized semantics from co-occurring terms via a Siamese architecture. Neural Networks Ubai Sandouk, Ke Chen
2016	J	`jnl`	Multi-Label Zero-Shot Learning via Concept Embedding. CoRR Ubai Sandouk, Ke Chen
2016	J	`jnl`	On Covariate Shift Adaptation via Sparse Filtering. CoRR Fabio Massimo Zennaro, Ke Chen
2016	—	`conf`	Online level generation in Super Mario Bros via learning constructive primitives. CIG Peizhi Shi, Ke Chen
2016	J	`jnl`	TDAS: a touch dynamics based multi-factor authentication solution for mobile devices. Int. J. Pervasive Comput. Commun. Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen
2016	J	`jnl`	Towards Understanding Sparse Filtering: A Theoretical Perspective. CoRR Fabio Massimo Zennaro, Ke Chen
2016	J	`jnl`	Zero-Shot Visual Recognition via Bidirectional Latent Embedding. CoRR Qian Wang, Ke Chen
2015	J	`jnl`	Computational cognitive models of spatial memory in navigation space: A review. Neural Networks Tamas Madl, Ke Chen, Daniela Montaldi, Robert Trappl
2015	—	`ch.`	Deep and Modular Neural Networks. Handbook of Computational Intelligence Ke Chen
2015	J	`jnl`	Learning Constructive Primitives for Online Level Generation and Real-time Content Adaptation in Super Mario Bros. CoRR Peizhi Shi, Ke Chen
2015	J	`jnl`	Learning Contextualized Music Semantics from Tags via a Siamese Network. CoRR Ubai Sandouk, Ke Chen
2015	J	`jnl`	Learning Contextualized Semantics from Co-occurring Terms via a Siamese Architecture. CoRR Ubai Sandouk, Ke Chen
2015	J	`jnl`	Learning-Based Procedural Content Generation. IEEE Trans. Comput. Intell. AI Games Jonathan Roberts, Ke Chen
2015	C	`conf`	Recognizing Your Touch: Towards Strengthening Mobile Device Authentication via Touch Dynamics Integration. MoMM Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen
2014	J	`jnl`	Rapid Skill Capture in a First-Person Shooter. CoRR David L. Buckley, Ke Chen, Joshua D. Knowles
2013	J	`jnl`	Learning-Based Procedural Content Generation. CoRR Jonathan Roberts, Ke Chen
2013	—	`conf`	Predicting skill from gameplay input to a first-person shooter. CIG David L. Buckley, Ke Chen, Joshua D. Knowles
2011	B	`conf`	Emotional state recognition from speech via soft-competition on different acoustic representations. IJCNN Arslan Shaukat, Ke Chen
2011	B	`conf`	Exploring speaker-specific characteristics with deep learning. IJCNN Ahmad Salman, Ke Chen
2011	—	`conf`	Extracting Speaker-Specific Information with a Regularized Siamese Deep Network. NIPS Ke Chen, Ahmad Salman
2011	J	`jnl`	Learning Speaker-Specific Characteristics With a Deep Neural Architecture. IEEE Trans. Neural Networks Ke Chen, Ahmad Salman
2011	J	`jnl`	Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions. IEEE Trans. Pattern Anal. Mach. Intell. Ke Chen, Shihai Wang
2011	J	`jnl`	Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. IEEE Trans. Knowl. Data Eng. Yun Yang, Ke Chen
2011	J	`jnl`	Time Series Clustering Via RPCL Network Ensemble With Different Representations. IEEE Trans. Syst. Man Cybern. Part C Yun Yang, Ke Chen
2010	J	`jnl`	Emotional State Categorization from Speech: Machine vs. Human CoRR Arslan Shaukat, Ke Chen
2010	J	`jnl`	Exploring Language-Independent Emotional Acoustic Features via Feature Selection CoRR Arslan Shaukat, Ke Chen
2010	B	`conf`	Unsupervised learning via iteratively constructed clustering ensemble. IJCNN Yun Yang, Ke Chen
2008	J	`jnl`	Erratum to "Adaptive Smoothing via Contextual and Local Discontinuities". IEEE Trans. Pattern Anal. Mach. Intell. Ke Chen
2008	A	`conf`	Towards automatic emotional state categorization from speech signals. INTERSPEECH Arslan Shaukat, Ke Chen
2007	—	`ch.`	Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. Trends in Neural Computation Yun Yang, Ke Chen
2007	B	`conf`	Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification. IJCNN Shihai Wang, Ke Chen
2007	—	`conf`	Regularized Boost for Semi-Supervised Learning. NIPS Ke Chen, Shihai Wang
2007	—	`book`	Trends in Neural Computation Ke Chen, Lipo Wang
2006	B	`conf`	An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. IJCNN Yun Yang, Ke Chen
2005	J	`jnl`	Adaptive Smoothing via Contextual and Local Discontinuities. IEEE Trans. Pattern Anal. Mach. Intell. Ke Chen
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I ICNC (1) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II ICNC (2) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	—	`ed.`	Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III ICNC (3) Lipo Wang, Ke Chen, Yew-Soon Ong
2005	—	`conf`	Boosting Input/Output Hidden Markov Models for Sequence Classification. ICNC (2) Ke Chen
2005	J	`jnl`	On the use of different speech representations for speaker modeling. IEEE Trans. Syst. Man Cybern. Part C Ke Chen
2004	C	`conf`	Personalized News Reading via Hybrid Learning. IDEAL Ke Chen, Sunny Yeung
2004	—	`conf`	Speaker Modeling with Various Speech Representations. ICBA Ke Chen
2003	J	`jnl`	Towards better making a decision in speaker verification. Pattern Recognit. Ke Chen
2003	A	`conf`	UBM-based incremental speaker adaptation. ICME Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang
2003	—	`conf`	UBM-based real-time speaker segmentation for broadcasting news. ICASSP (2) Ting-Yao Wu, Lie Lu, Ke Chen, Hong-Jiang Zhang
2003	B	`conf`	Universal Background Models for Real-time Speaker Change Detection. MMM Ting-Yao Wu, Lie Lu, Ke Chen, HongJiang Zhang
2002	J	`jnl`	A dynamically coupled neural oscillator network for image segmentation. Neural Networks Ke Chen, DeLiang L. Wang
2002	J	`jnl`	Capture interspeaker information with a neural network for speaker identification. IEEE Trans. Neural Networks Lan Wang, Ke Chen, Huisheng Chi
2002	Misc	`conf`	Mandarin verbal information verification. ICASSP Xiaolong Li, Ke Chen
2002	J	`jnl`	On the use of nearest feature line for speaker identification. Pattern Recognit. Lett. Ke Chen, Ting-Yao Wu, HongJiang Zhang
2001	J	`jnl`	Extraction of hydrographic regions from remote sensing images using an oscillator network with weight adaptation. IEEE Trans. Geosci. Remote. Sens. Xiuwen Liu, Ke Chen, DeLiang Wang
2001	J	`jnl`	Feedforward Neural Network Methodology. IEEE Trans. Neural Networks Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin
2001	A	`conf`	ISIS: a learning system with combined interaction and delegation dialogs. INTERSPEECH Helen M. Meng, Shuk Fong Chan, Yee Fong Wong, Cheong Chat Chan, Yiu Wing Wong, Tien Ying Fung, Wai Ching Tsui, Ke Chen, Lan Wang, Ting-Yao Wu, Xiaolong Li, Tan Lee, Wing Nin Choi, P. C. Ching, Huisheng Chi
2001	J	`jnl`	Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review]. IEEE Trans. Neural Networks Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin
2001	J	`jnl`	Neural and Adaptive Systems: Fundamentals Through Simulations. IEEE Trans. Neural Networks Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin
2001	J	`jnl`	Perceiving geometric patterns: from spirals to inside-outside relations. IEEE Trans. Neural Networks Ke Chen, DeLiang Wang
2001	J	`jnl`	Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence [Book Review]. IEEE Trans. Neural Networks Ke Chen, V. Kvasnicka, P. C. Kanen, Simon Haykin
2000	—	`conf`	Capture Inter-Speaker Information with a Neural Network for Speaker Identification. IJCNN (5) Lan Wang, Ke Chen, Huisheng Chi
2000	A	`conf`	ISIS: A multilingual spoken dialog system developed with CORBA and KQML agents. INTERSPEECH Helen M. Meng, Shuk Fong Chan, Yee Fong Wong, Tien Ying Fung, Wai Ching Tsui, Tin Hang Lo, Cheong Chat Chan, Ke Chen, Lan Wang, Ting-Yao Wu, Xiaolong Li, Tan Lee, Wing Nin Choi, Yiu Wing Wong, P. C. Ching, Huisheng Chi
2000	A	`conf`	Optimal fusion of diverse feature sets for speaker identification: an alternative method. INTERSPEECH Lan Wang, Ke Chen, Huisheng Chi
2000	A	`conf`	Pruning abnormal data for better making a decision in speaker verification. INTERSPEECH Jun-Hui Liu, Ke Chen
2000	J	`jnl`	Weight adaptation and oscillatory correlation for image segmentation. IEEE Trans. Neural Networks Learn. Syst. Ke Chen, DeLiang L. Wang, Xiuwen Liu
1999	J	`jnl`	A Modular Neural Network Architecture for Pattern Classification Based on Different Feature Sets. Int. J. Neural Syst. Ke Chen, Huisheng Chi
1999	B	`conf`	Image segmentation based on a dynamically coupled neural oscillator network. IJCNN Ke Chen, DeLiang L. Wang
1999	J	`jnl`	Improved learning algorithms for mixture of experts in multiclass classification. Neural Networks Ke Chen, Lei Xu, Huisheng Chi
1999	B	`conf`	On use of different feature sets for pattern classification: an alternative method. IJCNN Ke Chen, Huisheng Chi
1998	J	`jnl`	A connectionist method for pattern classification with diverse features. Pattern Recognit. Lett. Ke Chen
1998	J	`jnl`	A method of combining multiple probabilistic classifiers through soft competition on different feature sets. Neurocomputing Ke Chen, Huisheng Chi
1998	—	`conf`	Perceiving without Learning: From Spirals to Inside/Outside Relations. NIPS Ke Chen, DeLiang L. Wang
1997	—	`conf`	A modified mixtures of experts architecture for classification with diverse features. ICNN Ke Chen, Huisheng Chi
1997	J	`jnl`	A self-generating modular neural network architecture for supervised learning. Neurocomputing Ke Chen, Liping Yang, Xiang Yu, Huisheng Chi
1997	J	`jnl`	Combining Linear Discriminant Functions with Neural Networks for Supervised Learning. Neural Comput. Appl. Ke Chen, Xiang Yu, Huisheng Chi
1997	J	`jnl`	Correction to "A Modified HME Architecture for Text-Dependent Speaker Identification". IEEE Trans. Neural Networks Ke Chen, Dahong Xie, Huisheng Chi
1997	J	`jnl`	Methods of Combining Multiple Classifiers with Different Features and Their Applications to Text-Independent Speaker Identification. Int. J. Pattern Recognit. Artif. Intell. Ke Chen, Lan Wang, Huisheng Chi
1996	J	`jnl`	A modified HME architecture for text-dependent speaker identification. IEEE Trans. Neural Networks Ke Chen, Dahong Xie, Huisheng Chi
1996	—	`conf`	Combine multiple time-delay HMEs for speaker identification. ICNN Ke Chen, Dahong Xie, Huisheng Chi
1996	J	`jnl`	Speaker identification using Time-delay Hmes. Int. J. Neural Syst. Ke Chen, Dahong Xie, Huisheng Chi
1996	J	`jnl`	Speed up training of the recurrent neural network based on constrained optimization techniques. J. Comput. Sci. Technol. Ke Chen, Weiquan Bao, Huisheng Chi
1996	J	`jnl`	Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study. Neural Process. Lett. Ke Chen, Dahong Xie, Huisheng Chi
1995	J	`jnl`	A parallel voting scheme for aspect recovery. J. Comput. Sci. Technol. Ke Chen, Masumi Ishikawa
1995	—	`conf`	Speaker identification based on the time-delay hierarchical mixture of experts. ICNN Ke Chen, Dahong Xie, Huisheng Chi
1990	—	`conf`	A Model-Directed Image Understanding System for Computer Vision. IEA/AIE (Vol. 1) Huasheng Chen, Ke Chen