„Tabular“

Suchergebnisse

1.000+ Treffer

• Lewis Caerleon and the equation of time: tabular astronomical practices in late fifteenth-century England
  Miolo, Laure ; Zieme, Stefan
• Antimalarial and cytotoxic properties of Chukrasia tabularis A. Juss and Turraea vogelii Hook F. Ex. Benth
  Ogbole, Omonike O. ; Saka, Yusuf A. ; Fasinu, Pius S. ; Fadare, Adenike A. ; Ajaiyeoba, Edith O.
• Advances in Machine Learning Modeling and Optimization for Small Tabular Data in Materials Design
  Conrad, Felix ; Ihlenfeldt, Steffen ; Kaliske, Michael ; Niggemann, Oliver 2025 Technische Universität Dresden
• First report of Tapinolachnus lacordairei (Coleoptera: Cerambycidae) damage in Chukrasia tabularis
  Chi, N. M. ; Thanh, N. V. ; Quang, D. N. ; Thanh, L. B. ; Thao, D. V. ; Son, L. T. ; Hinh, T. X. ; Thu, P. Q. ; Dell, B.
• How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data
  Santangelo, Gabriele ; Nicora, Giovanna ; Bellazzi, Riccardo ; Dagliati, Arianna
• Dyes tabularly arranged under each intermediate, with statistical and other data for both dyes and intermediates. Glossary of Dye and Intermediate names alphabetically arranged. By R. N. Shreve, In Collaboration with Warren N. Watson and A. R. Willis, Chemists, U. S. Tariff Commission. Book Department, The Chemical Catalog Company, Inc. One Madison Avenue, New York, U.S.A. 1922
  Lange
• Tabular Image: a method to convert tabular data to images for convolutional neural networks
  Liang, Junhao ; Wei, Xingjie ; Summers, Barbara
• Management of Hypsipyla robusta Moore (Pyralidae) damage in Chukrasia tabularis A. Juss (Meliaceae)
  Chi, N. M. ; Quang, D. N. ; Hien, B. D. ; Dzung, P. N. ; Nhung, N. P. ; Nam, N. V. ; Thuy, P. T. T. ; Tuong, D. V. ; Dell, B.
• Fine decomposition of the inbreeding and the coancestry coefficients by using the tabular method
  García-Cortés, L. A. ; Martínez-Ávila, J. C. ; Toro, M. A.
• TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approach
  Eslamian, Ali ; Cheng, Qiang
• An explainable transformer model integrating PET and tabular data for histologic grading and prognosis of follicular lymphoma: a multi-institutional digital biopsy study
  Jiang, Chong ; Jiang, Zekun ; Zhang, Zitong ; Huang, Hexiao ; Zhou, Hang ; Jiang, Qiuhui ; Teng, Yue ; Li, Hai ; Xu, Bing ; Li, Xin ; Xu, Jingyan ; Ding, Chongyang ; Li, Kang ; Tian, Rong
• Sparse attention is all you need for pre-training on tabular data
  Isomura, Tokimasa ; Shimizu, Ryotaro ; Goto, Masayuki
• Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models
  Amekoe, Kodjo Mawuena ; Azzag, Hanane ; Dagdia, Zaineb Chelly ; Lebbah, Mustapha ; Jaffre, Gregoire
• An intra-class distribution-focused generative adversarial network approach for imbalanced tabular data learning
  Chen, Qiuling ; Ye, Ayong ; Zhang, Yuexin ; Chen, Jianwei ; Huang, Chuan
• Towards efficient image-based representation of tabular data
  Damri, Amit ; Last, Mark ; Cohen, Niv
• iTabNet: an improved neural network for tabular data and its application to predict socioeconomic and environmental attributes
  Liu, Junmin ; Tian, Tian ; Liu, Yunxia ; Hu, Sufeng ; Li, Mengyao
• Deriving tabular event-based specifications from goal-oriented requirements models
  De Landtsheer, Renaud ; Letier, Emmanuel ; van Lamsweerde, Axel
• G-MACT at SemEval-2025 Task 8: exploring planning and tool use in question answering over tabular data
  Zhou, Wei ; Mesgar, Mohsen ; Friedrich, Annemarie ; Adel, Heike ; Rosenthal, Sara ; Rosá, Aiala ; Ghosh, Debanjan ; Zampieri, Marcos 2025 Universität Augsburg
• Finding Interpretable Data Pockets in Tabular Data
  Ojha, Tushar ; Hush, Don
• CorrBoost: a feature selection technique and utility of tabular deep neural networks in software fault prediction
  Sharma, Tamanna ; Misra, Sanjay ; Colomo-Palacios, Ricardo