Suchergebnisse - Working with challenging data: Complex data, models and formats

Enhanced interpretation of novel datasets by summarizing clustering results using deep-learning based linguistic models von K, Natarajan, Verma, Srikar, Kumar, Dheeraj

“… ’ essential characteristics, developing complex statistical models, and testing various hypotheses …”
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8.P. Skills building seminar: Design thinking: adopting a human-centred approach to tackling complex problems

“… ’. Homelessness is a complex global public health challenge, with limited reliable prevalence data and no universally agreed definition …”
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Data-dependent visualization of biological networks in the web-browser with NDExEdit von Auer, Florian, Mayer, Simone, Kramer, Frank

“… A further challenge when working with networks is their distribution. Within a typical collaborative workflow, even slight changes of the network data force one to repeat the visualization …”
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Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish von Myllylä, Elisa, Siirtola, Pekka, Isosalo, Antti, Reponen, Jarmo, Tamminen, Satu, Laatikainen, Outi

“… In the era of digital healthcare, electronic health records generate vast amounts of data, much of which is unstructured, and therefore, not in a usable format for conventional machine learning …”
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Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? von Tang, Xiangru, Zong, Yiming, Phang, Jason, Zhao, Yilun, Zhou, Wangchunshu, Cohan, Arman, Gerstein, Mark

“… Despite the remarkable capabilities of Large Language Models (LLMs) like GPT-4, producing complex, structured tabular data remains challenging …”
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High Dimensional and Complex Spectrometric Data Analysis of an Organic Compound using Large Multimodal Models and Chained Outputs

“… Here, a challenging 15 carbon molecule problem with 13 complex and high dimensional chemical spectra were analyzed as images by unmodified versions of Claude …”
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Enhanced interpretation of novel datasets by summarizing clustering results using deep-learning based linguistic models: Enhanced interpretation of novel datasets by summarizing von K, Natarajan, Verma, Srikar, Kumar, Dheeraj

“… ’ essential characteristics, developing complex statistical models, and testing various hypotheses …”
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Structured information extraction from complex scientific text with fine-tuned large language models von Dunn, Alexander, Dagdelen, John, Walker, Nicholas, Lee, Sanghoon, Rosen, Andrew S, Ceder, Gerbrand, Persson, Kristin, Jain, Anubhav

“… Intelligently extracting and linking complex scientific information from unstructured text is a challenging endeavor particularly for those inexperienced with natural language processing …”
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Work-Related Psychosocial Demands and Resources in General Practice Teams in Germany. A Team-Based Ethnography von Tsarouha, Elena, Preiser, Christine, Weltermann, Birgitta, Junne, Florian, Seifried-Dübon, Tanja, Stuber, Felicitas, Hartmann, Sigrid, Wittich, Andrea, Rieger, Monika A., Rind, Esther

“… General practices are established microenterprises in Germany providing a variety of preventive and therapeutic health care services and procedures in a challenging working environment …”
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A Systematic Survey on Instructional Text: From Representation Formats to Downstream NLP Tasks von Safa, Abdulfattah, Kapanadze, Tamta, Uzunoğlu, Arda, Gözde Gül \c{S}ahin

“… However, real-world tasks often involve complex, multi-step instructions that remain challenging for current NLP systems …”
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Game Physics von Eberly, David H.

“… Dave Eberly's much anticipated sequel to his cornerstone resource on the mathematics associated with game physics …”
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SfM Photogrammetry for Cost-Effective 3D Documentation and Rock Art Analysis of the Dombate Dolmen (Spain) and the Megalithic Sites of Chã dos Cabanos and Chã da Escusalha (Portugal) von Peña-Villasenín, Simón, Gil-Docampo, Mariluz, Ortiz-Sanz, Juan, Vilas Boas, Luciano, Bettencourt, Ana M. S., Cabanas, Manés F.

“… ) models from a set of overlapping images captured from disparate angles. The application of this technique in the field of cultural heritage, particularly …”
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Exploring the Potential of Data-Driven Spatial Audio Enhancement Using a Single-Channel Model von dos Santos, Arthur N, Masiero, Bruno S, Mateus, Túlio C L

“… are considerably more challenging in the latter case. Additionally, with limited computational resources, it is cumbersome to train models that require the management of larger datasets or those with more complex designs …”
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Panoptic Segmentation Meets Remote Sensing von Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Silva, Cristiano Rosa e, Anesmar Olino de Albuquerque, Nickolas Castro Santana, Dibio Leandro Borges, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães

“… Effectively approaching panoptic segmentation in remotely sensed data can be auspicious in many challenging problems since it allows continuous mapping and specific target counting …”
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Co-Learning of Task and Sensor Placement for Soft Robotics von Spielberg, Andrew, Amini, Alexander, Chin, Lillian, Matusik, Wojciech, Rus, Daniela

“… Reconstructing the robot's state from these sparse inputs is challenging, especially since sensor location has a profound downstream impact on the richness of learned models for robotic tasks …”
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Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition von Xiao, Bin, Akkaya, Yakup, Simsek, Murat, Kantarci, Burak, Ala Abu Alkheir

“… because of human readability. However, with the surging number of electronic documents, it has been far beyond the capacity of human readers, and it is also challenging to process tabular data automatically because of the complex …”
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Integration of heterogeneous biological data in multiscale mechanistic model calibration: application to lung adenocarcinoma von Jean-Louis Palgen, Perrillat-Mercerot, Angelique, Ceres, Nicoletta, Peyronnet, Emmanuel, Coudron, Matthieu, Tixier, Eliott, Illigens, Ben Mw, Bosley, Jim, L'hostis, Adele, Monteiro, Claudio

“… Determining parameters and their values is particularly challenging in the case of models of pathophysiology, for which data for calibration is sparse …”
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BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition von Shahgir, HAZ Sameen, Alam, Ramisa, Md Zarif Ul Alam

“… CNER is a more challenging task than traditional NER as it involves identifying and classifying complex and compound entities, which are not common in Bangla language …”
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AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension von Yang, Qian, Xu, Jin, Liu, Wenrui, Chu, Yunfei, Jiang, Ziyue, Zhou, Xiaohuan, Leng, Yichong, Lv, Yuanjun, Zhou, Zhao, Zhou, Chang, Zhou, Jingren

“… ), and lack an assessment of the open-ended generative capabilities centered around audio. Thus, it is challenging to track the progression in the Large Audio-Language Models (LALMs …”
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Temporal Reasoning Transfer from Text to Video von Li, Lei, Liu, Yuanxin, Yao, Linli, Zhang, Peiyuan, An, Chenxin, Wang, Lean, Xu, Sun, Kong, Lingpeng, Liu, Qi

“… Video Large Language Models (Video LLMs) have shown promising capabilities in video comprehension, yet they struggle with tracking temporal changes and reasoning about temporal relationships …”
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