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Publication search results
found 102 matches
- 2023
- Marine Collery:
Expressive classification rule learning with an emphasis on learning from sequential data. (Apprentissage de règles de classification expressives notamment à partir de données séquentielles). Polytechnic Institute of Paris, Palaiseau, France, 2023 - Shuang Li, Jonathan R. Corney:
Multi-view expressive graph neural networks for 3D CAD model classification. Comput. Ind. 151: 103993 (2023) - Wolfgang Dvorák, Atefeh Keshavarzi Zafarghandi, Stefan Woltran:
Expressiveness of SETAFs and support-free ADFs under 3-valued semantics. J. Appl. Non Class. Logics 33(3-4): 298-327 (2023) - Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2824-2835 (2023) - Changda Xing, Yuhua Cong, Chaowei Duan, Zhisheng Wang, Meiling Wang:
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10747-10761 (2023) - Haonan Cheng, Zhenjia Shi, Xiang Lei, Long Ye:
CACEE: Computational Aesthetic Classification of Expressive Effects Based on Emotional Consistency. HCMA@MM 2023: 27-32 - Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR 2023 - Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. CoRR abs/2308.10355 (2023) - 2022
- Gaurav Aggarwal:
Social Communication Disorder Outside Intellectual Disability? A Review and Classification Approach to Receptive and Expressive Communication in Intellectual Disability. Wirel. Pers. Commun. 127(4): 2841-2858 (2022) - Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng:
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG 2022: 17 - Manal Almutairi, Frederic T. Stahl, Max Bramer:
CRC: Consolidated Rules Construction for Expressive Ensemble Classification. SGAI Conf. 2022: 138-152 - Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022) - Jonas Jäger, Roman V. Krems:
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines. CoRR abs/2207.05865 (2022) - Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR abs/2208.06193 (2022) - 2021
- Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Haijun Zhang, Guangcan Liu, Meng Wang:
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification. IEEE Trans. Neural Networks Learn. Syst. 32(3): 947-961 (2021) - Mengyue Hang, Jennifer Neville, Bruno Ribeiro:
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. ICML 2021: 4040-4050 - Dominik Schiller, Silvan Mertes, Pol van Rijn, Elisabeth André:
Analysis by Synthesis: Using an Expressive TTS Model as Feature Extractor for Paralinguistic Speech Classification. Interspeech 2021: 486-490 - 2020
- Julien Grange:
On the Expressive Power of Invariant Logics over Sparse Classes of Structures. (Sur le pouvoir d'expression des logiques définies par invariance). École Normale Supérieure, Paris, France, 2020 - Zhiyong Hao, Chen Yang, Lei Liu, Mijat Kustudic, Ben Niu:
Exploiting skew-adaptive delimitation mechanism for learning expressive classification rules. Appl. Intell. 50(3): 746-758 (2020) - Zhifeng Kong, Kamalika Chaudhuri:
The Expressive Power of a Class of Normalizing Flow Models. AISTATS 2020: 3599-3609 - Kenta Oono, Taiji Suzuki:
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification. ICLR 2020 - Carlos Eduardo Cancino Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer:
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game. ISMIR 2020: 613-620 - Zhifeng Kong, Kamalika Chaudhuri:
The Expressive Power of a Class of Normalizing Flow Models. CoRR abs/2006.00392 (2020) - Carlos Eduardo Cancino Chacón, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer:
On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game. CoRR abs/2008.02194 (2020) - 2019
- Duyen Thien Le:
Expressive and modular rule-based classifier for data streams. University of Reading, Berkshire, UK, 2019 - Jan A. Bergstra:
Quantitative Expressiveness of Instruction Sequence Classes for Computation on Single Bit Registers. Comput. Sci. J. Moldova 27(2): 131-161 (2019) - Yue Ben, Rohit Chadha, A. Prasad Sistla, Mahesh Viswanathan:
Decidable and expressive classes of probabilistic automata. J. Comput. Syst. Sci. 100: 70-95 (2019) - Kiemute Oyibo, Ifeoma Adaji, Julita Vassileva:
Mobile Web Design: The Effect of Education on the Influence of Classical and Expressive Aesthetics on Perceived Credibility. HCI (19) 2019: 66-79 - Sergio I. Giraldo, Alberto Nasarre, Isabelle Heroux, Rafael Ramirez:
A Machine Learning Approach to Study Expressive Performance Deviations in Classical Guitar. PKDD/ECML Workshops (2) 2019: 531-536 - Jan A. Bergstra:
Quantitative Expressiveness of Instruction Sequence Classes for Computation on Single Bit Registers. CoRR abs/1904.08722 (2019)
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