Results 91 to 100 of about 303,332 (290)

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood

, 2017
Our goal is to learn a semantic parser that maps natural language utterances into executable programs when only indirect supervision is available: examples are labeled with the correct execution result, but not the program itself.
Guu, Kelvin, Liang, Percy, Liu, Evan Zheran, Pasupat, Panupong   +3 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Building a semantic map: top-down versus bottom-up approaches

Linguistic Discovery, 2010
This paper contrasts two methods for constructing semantic maps: the top-down model and the bottom-up model. It is argued that the bottom-up approach can be illuminating in solving long-standing issues.
Ferdinand de Haan
doaj   +1 more source

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

, 2017
We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs). The method, called BiSeg, predicts instance segmentation as a posterior in Bayesian inference, where ...
Ito, Satoshi, Kozakaya, Tatsuo, Pham, Viet-Quoc   +2 more
core   +1 more source

Semantic Maps of Twitter Conversations

, 2017
Twitter is an irreplaceable source of data for opinion mining, emergency communications, or fact sharing, whose readability is severely limited by the sheer volume of tweets published every day. A method to represent and synthesize the information content of conversations on Twitter in form of semantic maps, from which the main topics and the main ...
Ciaramella, Angelo, Maratea, Antonio, Spagnoli, Emanuela   +2 more
openaire   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

Single‐Nucleus Multi‐Omics Reveals Hypoxia‐Driven Angiogenic Programs and Their Epigenetic Control in Sinonasal Squamous Cell Carcinoma

Advanced Science, EarlyView.
Single‐nucleus multi‐omics profiling of sinonasal squamous cell carcinoma unveils a hypoxia‐driven angiogenic axis. A specific hypoxic tumor subpopulation orchestrates endothelial tip cell differentiation via epigenetically regulated ADM and VEGFA secretion.
Chaelin You, Jaewoo Park, Jung Yeon Jang, Junho Noh, Jaehyun Lee, Geunho Kwon, Myeong Sang Yu, Yoo‐Sam Chung, Seung‐Jun Lee, Keunsoo Kang, Jihwan Park, Ji Heui Kim, Kyuho Kang   +12 more
wiley   +1 more source

The interplay of contrast markers (‘but’), selectives (“topic markers”) and word order in the fuzzy oppositive contrast domain

Linguistic Typology
This investigation is a large-scale comparative corpus study of the oppositive contrast domain (also called “semantic opposition”) based on parallel texts.
Wälchli Bernhard
doaj   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source