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Publication search results
found 649 matches
- 2024
- Dejan Brkic, Pavel Praks, Renáta Praksová, Tomás Kozubek:
Symbolic Regression Approaches for the Direct Calculation of Pipe Diameter. Axioms 12(9): 850 (2024) - Omar Elrasas, Nourhan Ehab, Yasmin Mansy, Amr El Mougy:
Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach. ICAART (3) 2024: 584-591 - Zied Bouraoui, Srdjan Vesic:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 17th European Conference, ECSQARU 2023, Arras, France, September 19-22, 2023, Proceedings. Lecture Notes in Computer Science 14294, Springer 2024, ISBN 978-3-031-45607-7 [contents] - Rrubaa Panchendrarajan, Arkaitz Zubiaga:
Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing. CoRR abs/2401.11972 (2024) - Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter:
SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR abs/2402.00854 (2024) - Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova:
A Functional Analysis Approach to Symbolic Regression. CoRR abs/2402.06299 (2024) - Liying Han, Mani B. Srivastava:
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection. CoRR abs/2402.11403 (2024) - Chitra Subramanian, Miao Liu, Naweed Khan, Jonathan Lenchner, Aporva Amarnath, Sarathkrishna Swaminathan, Ryan Riegel, Alexander Gray:
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making. CoRR abs/2402.13440 (2024) - Hanna Abi Akl:
NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification. CoRR abs/2402.16910 (2024) - Robert Vacareanu, Fahmida Alam, Md. Asiful Islam, Haris Riaz, Mihai Surdeanu:
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification. CoRR abs/2403.03305 (2024) - 2023
- Matthieu Bellucci:
Symbolic approaches for explainable artificial intelligence. (Approches symboliques pour une intelligence artificielle explicable). Normandy University, Caen, France, 2023 - Jirí Kubalík, Erik Derner, Robert Babuska:
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access 11: 61481-61501 (2023) - Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Syst. Appl. 215: 119376 (2023) - Luca Arrotta, Gabriele Civitarese, Claudio Bettini:
Semantic Loss: A New Neuro-Symbolic Approach for Context-Aware Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 147:1-147:29 (2023) - Zeinab Rahimi, Mehrnoush Shamsfard:
A Neuro Symbolic Approach for Contradiction Detection in Persian Text. J. Univers. Comput. Sci. 29(3): 242-264 (2023) - Jiyoun Moon:
Symmetric Graph-Based Visual Question Answering Using Neuro-Symbolic Approach. Symmetry 15(9): 1713 (2023) - Tony Tohme, Dehong Liu, Kamal Youcef-Toumi:
GSR: A Generalized Symbolic Regression Approach. Trans. Mach. Learn. Res. 2023 (2023) - Ruochen Dai, Tuba Yavuz:
A Symbolic Approach to Detecting Hardware Trojans Triggered by Don't Care Transitions. ACM Trans. Design Autom. Electr. Syst. 28(2): 28:1-28:31 (2023) - Damián Ariel Furman, Stephanie Anneris Malvicini, Maria Vanina Martinez, Paulo Shakarian, Gerardo Ignacio Simari, Yamil Osvaldo Soto:
A Neuro-symbolic Approach to Argument Comparison in Structured Argumentation. AI³@AI*IA 2023 - Andrea Rafanelli, Stefania Costantini, Giovanni De Gasperis:
Experimenting an Approach to Neuro-Symbolic RL. IPS-RCRA-SPIRIT@AI*IA 2023 - Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, Tomofumi Fujiwara:
Symbolic Sequence Optimization Approach for Task and Motion Planning of Robot Manipulators. CASE 2023: 1-6 - Alessandro Tenaglia, Corrado Possieri, Daniele Carnevale:
A Trajectory-Based Stochastic Approach to Symbolic Control. CDC 2023: 2871-2876 - Kislay Raj:
A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge. CIKM 2023: 5177-5180 - Daniel Dorfmeister, Flavio Ferrarotti, Bernhard Fischer, Evelyn Nicole Haslinger, Rudolf Ramler, Markus Zimmermann:
An Approach for Safe and Secure Software Protection Supported by Symbolic Execution. DEXA Workshops 2023: 67-78 - Rhythm Jain, Claire Arthur:
An Algorithmic Approach to Automated Symbolic Transcription of Hindustani Vocals. DLfM 2023: 12-21 - Gianluca Apriceno, Luca Erculiani, Andrea Passerini:
A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. ECAI 2023: 3175-3181 - Jonas Ehrhardt, René Heesch, Oliver Niggemann:
Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. ECAI Workshops (2) 2023: 332-345 - Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Edgar Meij, Arjen P. de Vries:
ECIR 23 Tutorial: Neuro-Symbolic Approaches for Information Retrieval. ECIR (3) 2023: 324-330 - Harman Singh, Poorva Garg, Mohit Gupta, Kevin Shah, Ashish Goswami, Satyam Modi, Arnab Kumar Mondal, Dinesh Khandelwal, Dinesh Garg, Parag Singla:
Image Manipulation via Multi-Hop Instructions - A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. EMNLP 2023: 2975-3007 - Leonid Schwenke, Stefan Bloemheuvel, Martin Atzmueller:
Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. FLAIRS 2023
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