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Publication search results
found 360 matches
- 2024
- Fernando Loor, Veronica Gil-Costa, Mauricio Marín:
Metric Space Indices for Dynamic Optimization in a Peer to Peer-Based Image Classification Crowdsourcing Platform. Future Internet 16(6): 202 (2024) - Ngoc Hoang Luong, Quan Minh Phan, An Vo, Tan Ngoc Pham, Dzung Tri Bui:
Lightweight multi-objective evolutionary neural architecture search with low-cost proxy metrics. Inf. Sci. 655: 119856 (2024) - Artur Czumaj, Christian Sohler:
Sublinear Time Approximation of the Cost of a Metric \({k}\)-Nearest Neighbor Graph. SIAM J. Comput. 53(2): 524-571 (2024) - Genc Hoxha, Gencer Sumbul, Julia Henkel, Lars Möllenbrok, Begüm Demir:
Annotation Cost-Efficient Active Learning for Deep Metric Learning-Driven Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Guidong Yang, Xunkuai Zhou, Chuanxiang Gao, Xi Chen, Ben M. Chen:
Learnable Cost Metric-Based Multi-View Stereo for Point Cloud Reconstruction. IEEE Trans. Ind. Electron. 71(9): 11519-11528 (2024) - Dolors Costal, Cristina Gómez, Santiago del Rey, Silverio Martínez-Fernández:
Using Metrics for Code Smells of ML Pipelines. ICSA-C 2024: 289-294 - Alex Cabral:
Rethinking Quality Metrics for Low-Cost Urban Environmental Sensor Networks. PerCom Workshops 2024: 360-361 - S. Rasoul Etesami:
Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs. WWW 2024: 4340-4351 - Ian Pons, Bruno Yamamoto, Anna H. Reali Costa, Artur Jordão:
Effective Layer Pruning Through Similarity Metric Perspective. CoRR abs/2405.17081 (2024) - Genc Hoxha, Gencer Sumbul, Julia Henkel, Lars Möllenbrok, Begüm Demir:
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval. CoRR abs/2406.10107 (2024) - 2023
- Nasser Khalili, Mohammad Ali Rastegar:
Optimal cost-sensitive credit scoring using a new hybrid performance metric. Expert Syst. Appl. 213(Part): 119232 (2023) - Alexandru-Costin Baroiu, Vlad Diaconita, Simona-Vasilica Oprea:
Bitcoin volatility in bull vs. bear market-insights from analyzing on-chain metrics and Twitter posts. PeerJ Comput. Sci. 9: e1750 (2023) - Luiza Penha Pinheiro, Luis Carlos Pereira Monteiro, Leonardo Dutra Henriques, Givago Silva Souza, Ana Catarina Miranda, Marcelo Fernandes Costa, Alda Loureiro Henriques:
Association between Facial Metrics and Mate Rejection for Long-Term Relationship by Heterosexual Men. Symmetry 15(1): 133 (2023) - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online Metric Algorithms with Untrusted Predictions. ACM Trans. Algorithms 19(2): 19:1-19:34 (2023) - Diego García-Zamora, Álvaro Labella, Rosa M. Rodríguez, Luis Martínez-López:
A Linguistic Metric for Consensus Reaching Processes Based on ELICIT Comprehensive Minimum Cost Consensus Models. IEEE Trans. Fuzzy Syst. 31(5): 1676-1688 (2023) - Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà:
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. ACL (1) 2023: 9064-9079 - Meng-Shiou Tsai, Sun-Yuan Hsieh, Ling-Ju Hung:
Hardness and Approximation for the Star β-Hub Routing Cost Problem in $\varDelta _\beta $-Metric Graphs. COCOON (1) 2023: 97-111 - Tamar Eilam, Pedro D. Bello-Maldonado, Bishwaranjan Bhattacharjee, Carlos H. A. Costa, Eun Kyung Lee, Asser N. Tantawi:
Towards a Methodology and Framework for AI Sustainability Metrics. HotCarbon 2023: 13:1-13:7 - Federica Costa, Lorenzo Peretto, Guglielmo Frigo:
PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis. I2MTC 2023: 1-6 - Yu Chen, Sanjeev Khanna, Zihan Tan:
Sublinear Algorithms and Lower Bounds for Estimating MST and TSP Cost in General Metrics. ICALP 2023: 37:1-37:16 - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Mixing Predictions for Online Metric Algorithms. ICML 2023: 969-983 - Guidong Yang, Xunkuai Zhou, Chuanxiang Gao, Benyun Zhao, Jihan Zhang, Yizhou Chen, Xi Chen, Ben M. Chen:
Multi-View Stereo with Learnable Cost Metric. IROS 2023: 3017-3024 - Jean-Baptiste Horel, Robin Baruffa, Lukas Rummelhard, Alessandro Renzaglia, Christian Laugier:
A Navigation-Based Evaluation Metric for Probabilistic Occupancy Grids: Pathfinding Cost Mean Squared Error. ITSC 2023: 3148-3153 - Dolors Costal, Cristina Gómez, Silverio Martínez-Fernández:
Metrics for Code Smells of ML Pipelines. PROFES (2) 2023: 3-9 - Kamalika Datta, Abhoy Kole, Indranil Sengupta, Rolf Drechsler:
Improved Cost-Metric for Nearest Neighbor Mapping of Quantum Circuits to 2-Dimensional Hexagonal Architecture. RC 2023: 218-231 - Steffen Tunkel, Steffen Herbold:
Exploring the relationship between performance metrics and cost saving potential of defect prediction models. Software Engineering 2023: 119-120 - Cristian Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama:
Local and Global Explainability Metrics for Machine Learning Predictions. CoRR abs/2302.12094 (2023) - Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Mixing predictions for online metric algorithms. CoRR abs/2304.01781 (2023) - Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan:
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR abs/2304.14738 (2023) - David Soriano Paños, Felipe Xavier Costa, Luis M. Rocha:
Semi-metric topology characterizes epidemic spreading on complex networks. CoRR abs/2311.14817 (2023)
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