03796nam0 2200649 i 450 REA004611720251003044334.08814076367IT2000-2598 20130827d1999 ||||0itac50 baitaitz01i xxxe z01nˆLe ‰controversie sul pubblico impiego privatizzato e gli uffici del contenziosodopo il D.Lg. n. 29 del 1993 e i D.Lg. n. 80 e 387 del 1998passaggio del contenzioso al giudice ordinario del lavoro, strumenti deflattivi delle liti, organizzazione degli uffici del contenzioso, ruolo e responsabilità dei dirigenti e degli addetti agli uffici del contenzioso, rito del lavoro e tutela cautelare, tecniche di difesa, ampia rassegna delle prime decisioni pretoriliGiustina Noviello ... [et al.!con il coordinamento di Vito TenoreMilanoGiuffrè[1999!XVI, 388 p.24 cmCosa & come. Pubblica amministrazione1Segue: AppendiciSul dorso: 1999.001RMG00309732001 Cosa & come. Pubblica amministrazione1Contenzioso amministrativoFIRSBLC129240IImpiego pubblicoLegislazioneItaliaFIRRMLC001496EImpiegati pubbliciControversie di lavoroLegislazioneFIRCFIC107249IImpiegati pubbliciControversie di lavoroLegislazioneFIRCFIC107249I342DIRITTO COSTITUZIONALE E AMMINISTRATIVO12342.068DIRITTO COSTITUZIONALE E DIRITTO AMMINISTRATIVO - FUNZIONARI E DIPENDENTI20342.068026921342.45068DIRITTO COSTITUZIONALE E DIRITTO AMMINISTRATIVO. FUNZIONARI E DIPENDENTI. ITALIA21344.45010269DIRITTO DEL LAVORO. ITALIA. TRIBUNALI E PROCEDURE19344.45010269DIRITTO DEL LAVORO. ITALIA. Tribunali e procedura21351Amministrazione pubblica22I E 4 dDIRITTO PUBBLICO - Diritto amministrativo - Servizi alla persona e alla comunità - Mercato del lavoro e pubblico impiegoBGGRapporto di pubblico impiegoPubblico impiegoAmministrazione pubblicaImpiegatiControversie in materia di lavoroAmministrazione pubblicaImpiegatiControversie in materia di lavoroImpiego pubblicoRapporto di pubblico impiegoImpiego pubblicoPubblico impiegoImpiegati pubbliciAmministrazione pubblicaImpiegatiControversie di lavoroControversie in materia di lavoroImpiegati pubbliciAmministrazione pubblicaImpiegatiControversie di lavoroControversie in materia di lavoroNoviello, GiustinaIEIV007312Tenore, VitoRMGV010106ITIT-00000020130827IT-BN0095 IT-CE0072 IT-NA0226 IT-SA0179 IT-NA0095 IT-NA0467 NAP 01D $NAP NCDAM $NAP SBSAB-CAM $NAP CEBIBL.SOPR.$NAP PEMONOGRAFIE$NAP SDSALA S $REA0046117Biblioteca Centralizzata di Ateneo1 v. (2. copia) 01D (AR) 25 685 01AR 0700256855 VMA 1 v. in due copieY 2024121320241213 01D (AR) 27 037 01AR 0700270375 VMA 1 v.Y 2024112520241125 01 CE NC PE SB SDControversie sul pubblico impiego privatizzato e gli uffici del contenzioso755207UNISANNIO07264nam 22006615 450 991088787940332120251225194932.03-031-72332-510.1007/978-3-031-72332-2(MiAaPQ)EBC31680968(Au-PeEL)EBL31680968(CKB)35895640900041(DE-He213)978-3-031-72332-2(OCoLC)1457083404(EXLCZ)993589564090004120240917d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Neural Networks and Machine Learning – ICANN 2024 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part I /edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (497 pages)Lecture Notes in Computer Science,1611-3349 ;150163-031-72331-7 -- Theory of Neural Networks and Machine Learning. -- Multi-label Robust Feature Selection via Subspace-Sparsity Learning. -- Nullspace-based metric for classification of dynamical systems and sensors. -- On the Bayesian Interpretation of Robust Regression Neural Networks. -- Probability-Generating Function Kernels for Spherical Data. -- Tailored Finite Point Operator Networks for Interface problems. -- Novel Methods in Machine Learning. -- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class. -- Adaptive Compression of the Latent Space in Variational Autoencoders. -- Asymmetric Isomap for Dimensionality Reduction and Data Visualization. -- CALICO: Confident Active Learning with Integrated Calibration. -- Improved Multi-hop Reasoning through Sampling and Aggregating. -- Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. -- Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations. -- Safe Data Resampling Method based on Counterfactuals Analysis. -- Test-Time Augmentation for Traveling Salesperson Problem. -- Novel Neural Architectures. -- Resonator-Gated RNNs. -- Towards a model of associative memory with learned distributed representations. -- Neural Architecture Search. -- Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization. -- Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. -- NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. -- NAVIGATOR-D3: Neural Architecture search using VarIational Graph Auto-encoder Toward Optimal aRchitecture Design for Diverse Datasets. -- ResBuilder: Automated Learning of Depth with Residual Structures -- Self-Organization. -- A Neuron Coverage-based Self-Organizing Approach for RBFNNs in Multi-Class Classification Tasks. -- Self-Organising Neural Discrete Representation Learning à la Kohonen. -- Neural Processes. -- Combined Global and Local Information Diffusion of Neural Processes. -- Topology of Neural Processes. -- Novel Architectures for Computer Vision. -- DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. -- Differentiable Largest Connected Component Layer for Image Mattin. -- Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features. -- Transformer Tracker based on Multi-level Residual Perception Structure. .-Multimodal Architectures. -- CAW: Confidence-based Adaptive Weighted Model for Multi-modal Entity Linking. -- Exploring Interpretable Semantic Alignment for Multimodal Machine Translation. -- Fairness in Machine Learning. -- CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-off in Machine Learning.The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.Lecture Notes in Computer Science,1611-3349 ;15016Artificial intelligenceComputersApplication softwareComputer networksArtificial IntelligenceComputing MilieuxComputer and Information Systems ApplicationsComputer Communication NetworksArtificial intelligence.Computers.Application software.Computer networks.Artificial Intelligence.Computing Milieux.Computer and Information Systems Applications.Computer Communication Networks.006.3Wand Michael1323454Malinovská Kristína1769610Schmidhuber Jürgen0Tetko Igor V1769612MiAaPQMiAaPQMiAaPQBOOK9910887879403321Artificial Neural Networks and Machine Learning – ICANN 20244241388UNINA