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Machine learning algorithms can predict emotional valence across ungulate vocalizations

• Authors : Lefèvre, Romain A.; Sypherd, Ciara C.R.; Briefer, Élodie F.

Subjects: algorithms; artificial intelligence; bioacoustics

• Source: Lefèvre , R A , Sypherd , C C R & Briefer , É F 2025 , ' Machine learning algorithms can predict emotional valence across ungulate vocalizations ' , iScience , vol. 28

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The robot butler:How and why should we study predictive algorithms and artificial intelligence (AI) in healthcare?

• Authors : Gjødsbøl, Iben Mundbjerg; Ringgaard, Anna Kirstine; Holm, Peter Christoffer

Subjects: Artificial intelligence; cardiovascular disease; clinical care

• Source: Gjødsbøl , I M , Ringgaard , A K , Holm , P C , Brunak , S & Bundgaard , H 2024 , ' The robot butler : How and why should we study predictive algorithms and artificial

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Beetle antennae search reimagined:leveraging ChatGPT’s AI to forge new frontiers in optimization algorithms

• Authors : Khan, Ameer Tamoor; Li, Shuai; Pham, Duc Truong

Subjects: adaptive parameter adjustment; Algorithms & Complexity; Artificial Intelligence

• Source: Khan , A T , Li , S , Pham , D T & Cao , X 2024 , ' Beetle antennae search reimagined : leveraging ChatGPT’s AI to forge new frontiers in optimization algorithms ' ,

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Optimization and algorithms in sparse regression:Screening rules, coordinate descent, and normalization

• Authors : Larsson, Johan; Wallin, Jonas; Bogdan, Malgorzata

• Source: Larsson , J , Wallin , J & Bogdan , M 2024 , Optimization and algorithms in sparse regression : Screening rules, coordinate descent, and normalization . Lund University

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With or without algorithms:Managing the self-employed in the Danish platform economy

• Authors : Haldrup, Christian; Ilsøe, Anna; Larsen, Trine Pernille ...

• Source: Haldrup , C , Ilsøe , A & Larsen , T P 2024 , With or without algorithms : Managing the self-employed in the Danish platform economy . i W Conen & E Reuter (red) ,

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Unveiling Adolescent Suicidality:Holistic Analysis of Protective and Risk Factors Using Multiple Machine Learning Algorithms

• Authors : Haghish, E. F.; Nes, Ragnhild Bang; Obaidi, Milan

Subjects: Adolescent suicide attempt; Eating and sleep problems; Optimism and well-being

• Source: Haghish , E F , Nes , R B , Obaidi , M , Qin , P , Stänicke , L I , Bekkhus , M , Laeng , B & Czajkowski , N 2024 , ' Unveiling Adolescent Suicidality : Holistic Analysis of Protective and Risk

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Pseudo-Boolean Reasoning about States and Transitions to Certify Dynamic Programming and Decision Diagram Algorithms

• Authors : Demirovic, Emir; McCreesh, Ciaran; McIlree, Matthew J.

Subjects: decision diagrams; dynamic programming; Proof logging

• Source: Demirovic , E , McCreesh , C , McIlree , M J , Nordström , J , Oertel , A & Sidorov , K 2024 , ' Pseudo-Boolean Reasoning about States and Transitions to Certify Dynamic Programming and Decision

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Screening Smarter, Not Harder:A Comparative Analysis of Machine Learning Screening Algorithms and Heuristic Stopping Criteria for Systematic Reviews in Educational Research

• Authors : Campos, Diego G.; Fütterer, Tim; Gfrörer, Thomas

Subjects: Abstract screening; Artificial intelligence; Machine learning

• Source: Campos , D G , Fütterer , T , Gfrörer , T , Lavelle-Hill , R , Murayama , K , König , L , Hecht , M , Zitzmann , S & Scherer , R 2024 , ' Screening Smarter, Not Harder : A Comparative Analysis of

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IKPLS:Improved Kernel Partial Least Squares and Fast Cross-Validation Algorithms for Python with CPU and GPU Implementations Using NumPy and JAX

• Authors : Engstrøm, Ole-Christian Galbo; Dreier, Erik Schou; Jespersen, Birthe P Møller

• Source: Engstrøm , O-C G , Dreier , E S , Jespersen , B P M & Steenstrup Pedersen , K 2024 , ' IKPLS : Improved Kernel Partial Least Squares and Fast Cross-Validation

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Quantification of fluorescence angiography for visceral perfusion assessment:measuring agreement between two software algorithms

• Authors : Nijssen, D. J.; Joosten, J. J.; Osterkamp, J.

Subjects: Anastomotic leakage; Fluorescence angiography (FA); Fluorescence time curves

• Source: Nijssen , D J , Joosten , J J , Osterkamp , J , van den Elzen , R M , de Bruin , D M , Svendsen , M B S , Dalsgaard , M W , Gisbertz , S S , Hompes , R , Achiam , M P & van Berge Henegouwen , M I 2024

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