Search Results - Working with challenging data: Complex data, models and formats

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

“…’ essential characteristics, developing complex statistical models, and testing various hypotheses…”
Get full text

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…”
Get full text

Data-dependent visualization of biological networks in the web-browser with NDExEdit by 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…”
Get full text

Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish by 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…”
Get full text

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? by 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…”
Get full text

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…”
Get full text

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

“…’ essential characteristics, developing complex statistical models, and testing various hypotheses…”
Get full text

Structured information extraction from complex scientific text with fine-tuned large language models by 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…”
Get full text

Work-Related Psychosocial Demands and Resources in General Practice Teams in Germany. A Team-Based Ethnography by 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…”
Get full text

A Systematic Survey on Instructional Text: From Representation Formats to Downstream NLP Tasks by 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…”
Get full text

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) by 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…”
Get full text

Exploring the Potential of Data-Driven Spatial Audio Enhancement Using a Single-Channel Model by 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…”
Get full text

Panoptic Segmentation Meets Remote Sensing by 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…”
Get full text

Co-Learning of Task and Sensor Placement for Soft Robotics by 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…”
Get full text

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition by 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…”
Get full text

Integration of heterogeneous biological data in multiscale mechanistic model calibration: application to lung adenocarcinoma by 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…”
Get full text

BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition by 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…”
Get full text

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension by 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…”
Get full text

Temporal Reasoning Transfer from Text to Video by 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…”
Get full text

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering by Wang, Xiaochen, He, Junqing, yang, Zhe, Wang, Yiru, Meng, Xiangdi, Pan, Kunhao, Sui, Zhifang

“…Large Language Models (LLMs) with chain-of-thought (COT) prompting have demonstrated impressive abilities on simple nature language inference tasks…”
Get full text