LEADER 01190cam0 22002531 450 001 SOBE00024322 005 20210407103546.0 100 $a20120410d2004 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $a<>supplizio d'un italiano in Corfù di Tommaseo$fFabio Danelon 210 $aRoma$aPadova$cEditrice Antenore$d2004 215 $a[467]-509 p.$d24 cm 300 $aEstratto da : Niccolò Tommaseo : popolo e nazioni. Italiani, corsi, greci, illirici. Atti del Convegno internazionale di studi nel bicentenario della nascita di Niccolò Tommaseo, Venezia, 23-25 gennaio 2003 (Roma, Padova, 2004) 700 1$aDanelon$b, Fabio$3SOBA00003101$4070$0164440 801 0$aIT$bUNISOB$c20210407$gRICA 850 $aUNISOB 852 $aUNISOB$jFondo|De|Sanctis|F|Opusc$m157020 912 $aSOBE00024322 940 $aM 102 Monografia moderna SBN 941 $aM 957 $aFondo|De|Sanctis|F|Opusc$b000201$gCON$d157020$hDeSanctisF$rdono$1catenacci$2UNISOB$3UNISOB$420120410141020.0$520210407103546.0$6Spinosa$fPer le modalità di consultazione vedi homepage della Biblioteca link Fondi 996 $aSupplizio d'un italiano in Corfù di Tommaseo$91718213 997 $aUNISOB LEADER 04809nam 22007575 450 001 9911011818803321 005 20250630130231.0 010 $a9789819689125 024 7 $a10.1007/978-981-96-8912-5 035 $a(CKB)39532343000041 035 $a(MiAaPQ)EBC32186375 035 $a(Au-PeEL)EBL32186375 035 $a(DE-He213)978-981-96-8912-5 035 $a(EXLCZ)9939532343000041 100 $a20250630d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI for Research and Scalable, Efficient Systems $eSecond International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25?March 4, 2025, Proceedings /$fedited by Qingyun Wang, Wenpeng Yin, Abhishek Aich, Yumin Suh, Kuan-Chuan Peng 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (412 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2533 311 08$a9789819689118 327 $a -- AI4Research 2025. -- ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. -- LLMs Tackle Meta-Analysis: Automating Scientific Hypothesis Generation with Statistical Rigor. -- AuditBench: A Benchmark for Large Language Models in Financial Statement Auditing. -- Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework. -- Empowering AI as Autonomous Researchers: Evaluating LLMs in Generating Novel Research Ideas through Automated Metrics. -- Multi-LLM Collaborative Caption Generation in Scientific Documents. -- CypEGAT: A Deep Learning Framework Integrating Protein Language Model and Graph Attention Networks for Enhanced CYP450s Substrate Prediction. -- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. -- SEAS 2025. -- ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation. -- Knowledge Distillation with Training Wheels. -- PickLLM: Context-Aware RL-Assisted Large Language Model Routing. -- ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification. -- The Impact of Multilingual Model Scaling on Seen and Unseen Language Performance. -- Information Consistent Pruning: How to Efficiently Search for Sparse Networks?. -- Efficient Image Similarity Search with Quadtrees. 330 $aThis book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25?March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2533 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aExpert systems (Computer science) 606 $aData mining 606 $aArtificial intelligence$xData processing 606 $aArtificial intelligence 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 606 $aKnowledge Based Systems 606 $aData Mining and Knowledge Discovery 606 $aData Science 606 $aArtificial Intelligence 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 0$aExpert systems (Computer science) 615 0$aData mining. 615 0$aArtificial intelligence$xData processing. 615 0$aArtificial intelligence. 615 14$aMachine Learning. 615 24$aNatural Language Processing (NLP). 615 24$aKnowledge Based Systems. 615 24$aData Mining and Knowledge Discovery. 615 24$aData Science. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aWang$b Qingyun$0696033 701 $aYin$b Wenpeng$01785205 701 $aAich$b Abhishek$01831918 701 $aSuh$b Yumin$01831919 701 $aPeng$b Kuan-Chuan$01368114 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911011818803321 996 $aAI for Research and Scalable, Efficient Systems$94404902 997 $aUNINA