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Publication search results
found 175 matches
- 2024
- Wen-Qiang Zou, Jiazhen Zou, Hongyan Sang, Leilei Meng, Quanke Pan:
An effective population-based iterated greedy algorithm for solving the multi-AGV scheduling problem with unloading safety detection. Inf. Sci. 657: 119949 (2024) - Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Mathias Uta:
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems. AAAI 2024: 10616-10623 - Inmaculada Gutiérrez, Daniel Gómez, Javier Castro, Rosa Espínola:
Multiple bipolar fuzzy measures: an application to community detection problems for networks with additional information. CoRR abs/2402.04786 (2024) - Inmaculada Gutiérrez, Juan Antonio Guevara, Daniel Gómez, Javier Castro, Rosa Espínola:
Community detection problem based on polarization measures: an application to Twitter: the COVID-19 case in Spain. CoRR abs/2402.05028 (2024) - Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar:
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation. CoRR abs/2402.15988 (2024) - Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. CoRR abs/2402.16926 (2024) - Andrea Venturi, Dario Stabili, Mirco Marchetti:
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks. CoRR abs/2403.11830 (2024) - Yang Jiao, Gloria Wong-Padoongpatt, Mei Yang:
Detection of Problem Gambling with Less Features Using Machine Learning Methods. CoRR abs/2403.15962 (2024) - Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa:
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR abs/2403.20331 (2024) - 2023
- Luyan Ji, Xiurui Geng:
Hyperspectral Target Detection Methods Based on Statistical Information: The Key Problems and the Corresponding Strategies. Remote. Sens. 15(15): 3835 (2023) - Alexandros Papadopoulos, Anastasios Delopoulos:
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions. IEEE J. Biomed. Health Informatics 27(7): 3569-3578 (2023) - Ji Hyung Jung, Hye Won Chung, Ji Oon Lee:
Detection problems in the spiked matrix models. CoRR abs/2301.05331 (2023) - Martin Feder, Michal Horovitz, Assaf Chen, Raphael Linker, Ofer M. Shir:
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving. CoRR abs/2303.00364 (2023) - Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Fighting noise and imbalance in Action Unit detection problems. CoRR abs/2303.02994 (2023) - Alexandros Papadopoulos, Anastasios Delopoulos:
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions. CoRR abs/2305.00249 (2023) - Adam Rydelek, Daryna Dementieva, Georg Groh:
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning. CoRR abs/2305.08636 (2023) - Hang Xu, Xinyuan Liu, Haonan Xu, Yike Ma, Zunjie Zhu, Chenggang Yan, Feng Dai:
Rethinking Boundary Discontinuity Problem for Oriented Object Detection. CoRR abs/2305.10061 (2023) - Sebastian P. Bayerl, Dominik Wagner, Ilja Baumann, Florian Hönig, Tobias Bocklet, Elmar Nöth, Korbinian Riedhammer:
A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem. CoRR abs/2305.19255 (2023) - Xuefeng Zhu, Tianyang Xu, Jian Zhao, Jia-Wei Liu, Kai Wang, Gang Wang, Jianan Li, Zhihao Zhang, Qiang Wang, Lei Jin, Zheng Zhu, Junliang Xing, Xiao-Jun Wu:
Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System. CoRR abs/2306.15767 (2023) - Hanxue Gu, Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski:
A systematic study of the foreground-background imbalance problem in deep learning for object detection. CoRR abs/2306.16539 (2023) - Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Florian Kofler, Bjoern H. Menze:
Framing image registration as a landmark detection problem for better representation of clinical relevance. CoRR abs/2308.01318 (2023) - Eduardo Morgado, Luca Martino, Roberto San Millán-Castillo:
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems. CoRR abs/2308.09102 (2023) - Charles O'Neill, Jack W. Miller, Ioana Ciuca, Yuan-Sen Ting, Thang Bui:
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. CoRR abs/2308.13768 (2023) - Ali Omrani, Alireza S. Ziabari, Preni Golazizian, Jeffrey Sorensen, Morteza Dehghani:
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning. CoRR abs/2309.16905 (2023) - Elke Smith, Nils Reiter, Jan Peters:
Automatic detection of problem-gambling signs from online texts using large language models. CoRR abs/2312.00804 (2023) - 2022
- Silas P. Lima Filho, Mônica Ferreira da Silva, Jonice Oliveira, Lívia Ruback:
Study about Gathering Features in Depression Detection' Problem with Health Professionals Community. Braz. J. Inf. Syst. 15(1) (2022) - Cheikh Salmi, Bouchema Sara, Zaoui Sara:
An enhanced evolutionary approach for solving the community detection problem. J. Inf. Telecommun. 6(1): 83-100 (2022) - Amirhossein Fathinavid:
Multilayer cellular learning automata: A computational model to solve multilayer infrastructure problems with its application in community detection for multilayer networks. J. Comput. Sci. 61: 101683 (2022) - Huy Phan, Thi Ngoc Tho Nguyen, Philipp Koch, Alfred Mertins:
Polyphonic audio event detection: multi-label or multi-class multi-task classification problem? CoRR abs/2201.12557 (2022) - Tiangang Cui, Xin Tong, Olivier Zahm:
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. CoRR abs/2202.00074 (2022)
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