Suchergebnisse - coding (Algorithmssics OR (algorithm OR Algorithmssics))

Leveraging electronic health records to examine outcome disparities in people with Alzheimer's Disease von Shruthi Venkatesh, Linshanshan Wang, Michele Morris, Mohammed Moro, Ratnam Srivastava, Yunqing Han, Riddhi Patira, Sarah B Berman, Oscar L Lopez, Shyam Visweswaran, Tianrun Cai, Tianxi Cai, Zongqi Xia

Inhaltsangabe: “… with at least one diagnosis code for AD or related dementia. We applied an unsupervised phenotyping algorithm …”
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Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems von David Cheng, Xuan Wang, Gregory C. McDermott, Jennifer S. Hanberg, Zoe Love, Katherine Zhong, Mary Jeffway, Jue Hou, Vidul Panickan, Rahul Sangar, Ying Qi, Connor Melley, Lauren Costa, Dakota Feil, Rachael Matty, Dana Weisenfeld, Abisayo Animashaun, Aimee Schreiner, Sara Morini, Lauren Rusnak, Andrew Cagan, Misti Paudel, J. Michael Gaziano, Brian Sauer, Michael Weinblatt, Joshua Baker, Bryant England, Yuk‐Lam Ho, Kelly Cho, Paul Monach, Grant W. Cannon, Nancy Shadick, Ted R. Mikuls, Tianxi Cai, Katherine P. Liao

Inhaltsangabe: “… that prospectively collected the Disease Activity Score with 28‐joint counts (DAS28). Features for the algorithm were …”
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Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation von Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot

Inhaltsangabe: “… and cannot be controlled. We list computer vision tools and algorithms available for analyses of underwater …”
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Blockchain Technology Explained: A Comprehensive Guide for Beginners and Intermediates von Crypto Education Research Lab

Inhaltsangabe: “… with the definition of a distributed ledger, it explores how cryptographic hashing, consensus algorithms, and smart …”
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A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records von Chia‐Chun Chiang, Man Luo, Gina Dumkrieger, Shubham Trivedi, Yi‐Chieh Chen, Chieh‐Ju Chao, Todd J. Schwedt, Abeed Sarker, Imon Banerjee

Inhaltsangabe: “… and inference code with open‐source license of community use in GitHub. Additional fine‐tuning of the algorithm …”
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Drought Prediction using ML and Ensemble Models along with Explainable AI using SHAP and LIME: v1.0.0 - Initial Release von EHTESHAM ASHRAF

Inhaltsangabe: “… ;code>xgbmodel_files.pkl</code>)</li> <li>✅ StandardScaler and LabelEncoders …”
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Simple Combinatorial Construction of the $k^{o(1)}$-Lower Bound for Approximating the Parameterized $k$-Clique von Chen, Yijia, Feng, Yi, Laekhanukit, Bundit, Liu, Yanlin

Inhaltsangabe: “… -approximation algorithm for $k$-Clique with arbitrary ratio does not exist, assuming the Gap-Exponential-Time …”
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Natural Learning von Fanaee-T, Hadi

Inhaltsangabe: “… We introduce Natural Learning (NL), a novel algorithm that elevates the explainability …”
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Thinking Forward: Memory-Efficient Federated Finetuning of Language Models von Panchal, Kunjal, Parikh, Nisarg, Choudhary, Sunav, Zhang, Lijun, Brun, Yuriy, Guan, Hui

Inhaltsangabe: “… convergence and poor accuracy. In this paper, we introduce Spry, an FL algorithm that splits trainable weights …”
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The ESO SupJup Survey II: The 12C/13C ratios of three young brown dwarfs with CRIRES$^+$ von Picos, D. González, Snellen, I. A. G., de Regt, S., Landman, R., Zhang, Y., Gandhi, S., Ginski, C., Kesseli, A. Y., Mollière, P., Stolker, T.

Inhaltsangabe: “… the radiative transfer code petitRADTRANS coupled with the Bayesian inference algorithm MultiNest, resulting …”
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Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation von Manthe, Matthis, Lartizien, Carole, Duffner, Stefan

Inhaltsangabe: “… decentralized sample-level domains. We leverage this clustering algorithm through a Sample Clustered Federated …”
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Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration von Dong, Jun, Cheng, Jintao, Wu, Jin, Zhang, Chengxi, Zhao, Shunyi, Tang, Xiaoyu

Inhaltsangabe: “… , combining a keyframe selection algorithm (KSA), focusing on reducing end-to-end latency (E2EL) and ensuring …”
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The ESO SupJup Survey VII: Clouds and line asymmetries in CRIRES$^+$ J-band spectra of the Luhman 16 binary von de Regt, S., Snellen, I. A. G., Allard, N. F., Picos, D. González, Gandhi, S., Grasser, N., Landman, R., Mollière, P., Nasedkin, E., Stolker, T., Zhang, Y.

Inhaltsangabe: “… retrieval framework, coupling the radiative transfer code petitRADTRANS with the MultiNest sampling …”
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VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps von Demissie, Biniam Fisseha, Tun, Yan Naing, Shar, Lwin Khin, Ceccato, Mariano

Inhaltsangabe: “… , achieving high code coverage remains a significant challenge in Android app testing. The main challenges …”
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PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking von Jiang, Yize, Li, Xinze, Zhang, Yuanyuan, Han, Jin, Xu, Youjun, Pandit, Ayush, Zhang, Zaixi, Wang, Mengdi, Wang, Mengyang, Shen, Minjie, Yang, Guang, Choi, Yejin, Li, Wu-Jun, Fu, Tianfan, Wu, Fang, Liu, Junhong

Inhaltsangabe: “… practical and comprehensive assessment of algorithmic advances. Specifically, we curated a novel dataset …”
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Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks von Bhuiyan, Masudul Hasan Masud, De Stefano, Gianluca, Pellegrino, Giancarlo, Staicu, Cristian-Alexandru

Inhaltsangabe: “… to hard-to-analyze language features, existing call graph construction algorithms for JavaScript …”
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Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models von Dharna, Aaron, Lu, Cong, Clune, Jeff

Inhaltsangabe: “… to the space race. Self-play (SP) algorithms try to harness these dynamics by pitting agents against ever …”
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CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning von Li, Xiaoya, Sun, Xiaofei, Wang, Albert, Li, Jiwei, Shum, Chris

Inhaltsangabe: “… for automated CUDA optimization strategies. While recent advances in LLMs show promise for code generation …”
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Reinforced Generation of Combinatorial Structures: Hardness of Approximation von Nagda, Ansh, Raghavan, Prabhakar, Thakurta, Abhradeep

Inhaltsangabe: “… answering this in the affirmative, using AlphaEvolve (an LLM code mutation agent) to obtain new results …”
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Constraint Satisfaction Approaches to Wordle: Novel Heuristics and Cross-Lexicon Validation von Arafat, Jahidul, Tasmin, Fariha, Poudel, Sanjaya

Inhaltsangabe: “… Wordle presents an algorithmically rich testbed for constraint satisfaction problem (CSP) solving …”
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