Data4UrbanMobility wird mit einem Stand auf der Dienstleistungstagung 2019 “Service Systems Innovation”  in Paderborn präsentiert werden. Die Tagung findet am 08. und 09. April 2019 statt. Data4UrbanMobiltiy wird auf der Themeninsel 4: “Individuell und Urban” zu finden sein.

• The Kourovka Notebook, mbox sixteenth ed., Russian Academy of Sciences. Mazurov, 1V. D.; Khukhro(eds.), E. I. (2006).
• Grundlagen des maschinellen Lernens erklärt. Drehling, Wilhelm (2024).

  Ein Beispiel mit linearer Regression veranschaulicht die Prinzipien maschinellen Lernens. Sie brauchen dafür nur etwas Python und die Bibliothek Scikit-Learn.
• Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Razavi, Kamran; Ghafouri, Saeid; Mühlhäuser, Max; Jamshidi, Pooyan; Wang, Lin (2024). 184–191.
• FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission. Zhang, Zeling; Cai, Dongqi; Zhang, Yiran; Xu, Mengwei; Wang, Shangguang; Zhou, Ao (2024). 126–133.
• Deploying Stateful Network Functions Efficiently using Large Language Models. Ghasemirahni, Hamid; Farshin, Alireza; Scazzariello, Mariano; Chiesa, Marco; Kostic, Dejan (2024). 28–38.
• Do Predictors for Resource Overcommitment Even Predict?. Christofidi, Georgia; Doudali, Thaleia Dimitra (2024). 153–160.
• Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices. Huang, Yushan; Millar, Josh; Long, Yuxuan; Zhao, Yuchen; Haddadi, Hamed (2024). 73–80.
• Q-Learning Based Framework for Solving the Stochastic E-waste Collection Problem. Nguyen, Dang Viet Anh; Gunawan, Aldy; Misir, Mustafa; Vansteenwegen, Pieter in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 49–64.
• Buy Verified Payoneer Accounts. Us), 24 Hours Reply/(Contact; bestsmmsolution@gmail.com, Email :; +1(530)5636354, WhatsApp :; @bestsmmsolution0, Telegram :; BestSMMSolution, Skype : (https://bestsmmsolution.com/product/buy-verified-payoneer accounts/, ed.) (2024). 19(6) 775–779.

  This paper discusses the ways in which automation of industrial processes may expand rather than eliminate problems with the human operator. Some comments will be made on methods of alleviating these problems within the 'classic' approach of leaving the operator with responsibility for abnormal conditions, and on the potential for continued use of the human operator for on-line decision-making within human-computer collaboration.
• Comparative Profiling: Insights Into Latent Diffusion Model Training. Aldous, Bradley; Abdelmoniem, Ahmed M. (2024). 176–183.
• An analysis of the suitability of OpenAlex for bibliometric analyses. Alperin, Juan Pablo; Portenoy, Jason; Demes, Kyle; Larivière, Vincent; Haustein, Stefanie (2024).

  Scopus and the Web of Science have been the foundation for research in the science of science even though these traditional databases systematically underrepresent certain disciplines and world regions. In response, new inclusive databases, notably OpenAlex, have emerged. While many studies have begun using OpenAlex as a data source, few critically assess its limitations. This study, conducted in collaboration with the OpenAlex team, addresses this gap by comparing OpenAlex to Scopus across a number of dimensions. The analysis concludes that OpenAlex is a superset of Scopus and can be a reliable alternative for some analyses, particularly at the country level. Despite this, issues of metadata accuracy and completeness show that additional research is needed to fully comprehend and address OpenAlex's limitations. Doing so will be necessary to confidently use OpenAlex across a wider set of analyses, including those that are not at all possible with more constrained databases.
• A magnetar giant flare in the nearby starburst galaxy M82. Mereghetti, Sandro; Rigoselli, Michela; Salvaterra, Ruben; Pacholski, Dominik Patryk; Rodi, James Craig; Gotz, Diego; Arrigoni, Edoardo; D’Avanzo, Paolo; Adami, Christophe; Bazzano, Angela; Bozzo, Enrico; Brivio, Riccardo; Campana, Sergio; Cappellaro, Enrico; Chenevez, Jerome; De Luise, Fiore; Ducci, Lorenzo; Esposito, Paolo; Ferrigno, Carlo; Ferro, Matteo; Israel, Gian Luca; Le Floc’h, Emeric; Martin-Carrillo, Antonio; Onori, Francesca; Rea, Nanda; Reguitti, Andrea; Savchenko, Volodymyr; Souami, Damya; Tartaglia, Leonardo; Thuillot, William; Tiengo, Andrea; Tomasella, Lina; Topinka, Martin; Turpin, Damien; Ubertini, Pietro (2024). 629(8010) 58–61.

  Magnetar giant flares are rare explosive events releasing up to 1047 erg in gamma rays in less than 1 second from young neutron stars with magnetic fields up to 1015−16 G (refs. 1,2). Only three such flares have been seen from magnetars in our Galaxy3,4 and in the Large Magellanic Cloud5 in roughly 50 years. This small sample can be enlarged by the discovery of extragalactic events, as for a fraction of a second giant flares reach luminosities above 1046 erg s−1, which makes them visible up to a few tens of megaparsecs. However, at these distances they are difficult to distinguish from short gamma-ray bursts (GRBs); much more distant and energetic (1050−53 erg) events, originating in compact binary mergers6. A few short GRBs have been proposed7–11, with different amounts of confidence, as candidate giant magnetar flares in nearby galaxies. Here we report observations of GRB 231115A, positionally coincident with the starburst galaxy M82 (ref. 12). Its spectral properties, along with the length of the burst, the limits on its X-ray and optical counterparts obtained within a few hours, and the lack of a gravitational wave signal, unambiguously qualify this burst as a giant flare from a magnetar in M82.
• Providing Evidence for the Validity of the Virtual Verification of Automated Driving Systems. Neurohr, Birte; de Graaff, Thies; Eggers, Andreas; Bienmüller, Tom; Möhlmann, Eike in Communications in Computer and Information Science, B. Sangchoolie, R. Adler, R. Hawkins, P. Schleiss, A. Arteconi, A. Mancini (eds.) (2024). (Vol. 2078) 5–13.
• The Importance of Workload Choice in Evaluating LLM Inference Systems. Papaioannou, Konstantinos; Doudali, Thaleia Dimitra (2024). 39–46.
• KI entlarvt KI-Lügen: Projekt noFake trainiert Datenmodelle für Faktenchecks. Grävemeyer, Arne (2024). (10/2024) 128–131.

  Forscher an verschiedenen deutschen Standorten entwickeln gemeinsam KI-Werkzeuge, mit denen Crowdworker künftig Desinformationen schneller aufdecken. Auf der Homepage Faktenforum des Recherchenetzwerks Correctiv sollen in wenigen Wochen die ersten Assistenztools zur Verfügung stehen.
• StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. Zhuang, Alex; Zhang, Ge; Zheng, Tianyu; Du, Xinrun; Wang, Junjie; Ren, Weiming; Huang, Stephen W.; Fu, Jie; Yue, Xiang; Chen, Wenhu (2024).
• Introduction to Philosophy Notes. Siddique, Muhammad Moghira (2024).
• Understanding Google’s Perspective on 503 Status Codes. w3era (w3era, ed.) (2024).
• Greedy Heuristic Guided by Lexicographic Excellence. Tamby, Satya; Gourvès, Laurent; Moretti, Stefano in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 97–112.
• Joint Attention Estimation during Multi-party Facilitation Using Multi-Modal Fusion. Chew, Jouh Yeong; Wang, Xiaohan D. Grollman, E. Broadbent, W. Ju, H. Soh, T. Williams (eds.) (2024). 322–326.
• Experimental and Theoretical Analysis of Local Search Optimising OBDD Variable Orderings. Jansen, Thomas; Zarges, Christine in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 177–192.
• A Memetic Algorithm with Adaptive Operator Selection for Graph Coloring. Grelier, Cyril; Goudet, Olivier; Hao, Jin-Kao in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 65–80.
• Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem. Vendi, Valentin; Vérel, Sébastien; Fonlupt, Cyril in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 16–32.
• A Neural Network Based Guidance for a BRKGA: An Application to the Longest Common Square Subsequence Problem. Reixach, Jaume; Blum, Christian; Djukanovic, Marko; Raidl, Günther R. in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 1–15.
• Künstliche Intelligenz: Die Mathematik hinter neuronalen Netzen. Trinkwalder, Andrea (2024).

  Die Architektur von neuronalen Netzen wird immer komplexer, doch an ihren einfachen elementaren Mechanismen hat sich über die Jahre nichts geändert.
• Enhancing Named Entity Recognition for Agricultural Commodity Monitoring with Large Language Models. Chebbi, Abir; Kniesel, Guido; Abdennadher, Nabil; Dimarzo, Giovanna (2024). 208–213.
• ALS Algorithm for Robust and Communication-Efficient Federated Learning. Hurley, Neil; Duriakova, Erika; Geraci, James; O’Reilly-Morgan, Diarmuid; Tragos, Elias Z.; Smyth, Barry; Lawlor, Aonghus (2024). 56–64.
• SpeedyLoader: Efficient Pipelining of Data Preprocessing and Machine Learning Training. Nouaji, Rahma; Bitchebe, Stella; Balmau, Oana (2024). 65–72.
• Rethinking FID: Towards a Better Evaluation Metric for Image Generation. Jayasumana, Sadeep; Ramalingam, Srikumar; Veit, Andreas; Glasner, Daniel; Chakrabarti, Ayan; Kumar, Sanjiv (2024).
• STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic Systems. Schallau, Till; Mäckel, Dominik; Naujokat, Stefan; Howar, Falk in Communications in Computer and Information Science, B. Sangchoolie, R. Adler, R. Hawkins, P. Schleiss, A. Arteconi, A. Mancini (eds.) (2024). (Vol. 2078) 62–70.
• A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. O’Reilly-Morgan, Diarmuid; Tragos, Elias Z.; Geraci, James; Wang, Qinqin; Hurley, Neil; Smyth, Barry; Lawlor, Aonghus (2024). 161–168.
• De-DSI: Decentralised Differentiable Search Index. Neague, Petru; Gregoriadis, Marcel; Pouwelse, Johan (2024). 134–143.
• Navigating Challenges and Technical Debt in Large Language Models Deployment. Menshawy, Ahmed; Nawaz, Zeeshan; Fahmy, Mahmoud (2024). 192–199.
• Characterizing Training Performance and Energy for Foundation Models and Image Classifiers on Multi-Instance GPUs. Espenshade, Connor; Peng, Rachel; Hong, Eumin; Calman, Max; Zhu, Yue; Parida, Pritish; Lee, Eun Kyung; Kim, Martha A. (2024). 47–55.
• The Environmental Cost of Engineering Machine Learning-Enabled Systems: A Mapping Study. Chadli, Kouider; Botterweck, Goetz; Saber, Takfarinas (2024). 200–207.
• Temporal Graph Generative Models: An empirical study. Souid, Houssem Eddine; Ody, Lucas; Achenchabe, Youssef; Lemaire, Valentin; Aversano, Gianmarco; Skhiri, Sabri (2024). 18–27.
• Towards Pareto Optimal Throughput in Small Language Model Serving. Recasens, Pol G.; Zhu, Yue; Wang, Chen; Lee, Eun Kyung; Tardieu, Olivier; Youssef, Alaa; Torres, Jordi; Berral, Josep Lluis (2024). 144–152.
• Evaluating Deep Learning Recommendation Model Training Scalability with the Dynamic Opera Network. Imes, Connor; Rittenbach, Andrew; Xie, Peng; Kang, Dong-In; Walters, John Paul; Crago, Stephen P. (2024). 169–175.
• IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads. Wang, Taiyi; Yoneki, Eiko (2024). 10–17.
• Reduction-Based MAX-3SAT with Low Nonlinearity and Lattices Under Recombination. Whitley, Darrell; Ochoa, Gabriela; Floyd, Noah; Chicano, Francisco in Lecture Notes in Computer Science, T. Stützle, M. Wagner (eds.) (2024). (Vol. 14632) 113–128.
• GuaranTEE: Towards Attestable and Private ML with CCA. Siby, Sandra Deepthy; Abdollahi, Sina; Maheri, Mohammad; Kogias, Marios; Haddadi, Hamed (2024). 1–9.
• ML Training with Cloud GPU Shortages: Is Cross-Region the Answer?. Strati, Foteini; Elvinger, Paul; Kerimoglu, Tolga; Klimovic, Ana (2024). 107–116.
• ALTO: An Efficient Network Orchestrator for Compound AI Systems. Santhanam, Keshav; Raghavan, Deepti; Rahman, Muhammad Shahir; Venkatesh, Thejas; Kunjal, Neha; Thaker, Pratiksha; Levis, Philip Alexander; Zaharia, Matei (2024). 117–125.
• An Analysis of Collocation on GPUs for Deep Learning Training. Robroek, Ties; Yousefzadeh-Asl-Miandoab, Ehsan; Tözün, Pinar (2024). 81–90.
• Priority Sampling of Large Language Models for Compilers. Grubisic, Dejan; Seeker, Volker; Synnaeve, Gabriel; Leather, Hugh; Mellor-Crummey, John M.; Cummins, Chris (2024). 91–97.
• Deferred Continuous Batching in Resource-Efficient Large Language Model Serving. He, Yongjun; Lu, Yao; Alonso, Gustavo (2024). 98–106.
• Tackling Disinformation: Machine Learning Solutions for Fake News Detection. Sangi, Abdur Rashid; Nagaram, Jyothish; Sudulagunta, Akshara; Talari, Sai Sandeep; Malla, Vinay; Enduri, Murali Krishna; Anamalamudi, Satish (2023). 46–51.
• Classification of Malware Using Deep Learning: A Study. Srinu, Inakollu Shanmukha; Vidyarthi, Deepti (2023). 1–6.
• SL-Defender: Decentralized Defense for Adversarial Robustness in Federated Learning. Justine, Cynara; Manamohan, Sathyanarayanan; Victor, Jiji Charangatt (2023). 1–7.
• Physical Layer Authentication Based on Transformer. Ai, Xin; Yue, Qingqing; Li, Hongchen; Li, Wenlong; Tu, Shanshan; ur Rehman, Sadaqat (2023). 203–208.
• Security authentication protocol for Industrial Internet of Things. Wang, Bingquan; Cui, Meili; Gao, Junchen (2023). 234–240.
• Critique of Ontological Militarism. Furtado, Henrique Tavares (2023). 17(3) olad012.

  War metaphors permeate the world we live in. From wildlife documentaries (natural war) to the curbing of academic freedom (war on woke), it seems that anything can be described in an essential likeness to warfare. Drawing on Lacanian psychoanalysis, this paper investigates the ubiquity of war metaphors in critiques of violence within Critical Security Studies and International Political Sociology. The analysis focuses on three concepts recently advanced as alternatives to the shortcomings of securitization theory and its reliance on a mythological idea of liberal peace: fighting, martial politics, and struggles. The paper investigates how each of these concepts is built in relation to war metaphors and explains this as revealing of an underlying symptom, a form of ontological militarism, which these alternatives to securitization cannot properly work through. It advances the concept of ontological militarism as the attribution of heuristic privilege to war turning it into the cypher of all social relations by investment in an assumed indistinction between war/peace and war/struggle. The paper invites critiques of liberal civility in International Relations (IR) to take seriously the point whereby the resort to war metaphors becomes the symptom of an inability to escape the symbolic horizons of a violent militaristic order.
• Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery. Kalisnik, Jurij Matija; Bauer, André; Vogt, Ferdinand Aurel; Stickl, Franziska Josephine; Zibert, Janez; Fittkau, Matthias; Bertsch, Thomas; Kounev, Samuel; Fischlein, Theodor (2022).

  Objectives: This study aims to improve early detection of cardiac surgery-associated acute kidney injury using artificial intelligence-based algorithms. Methods: Data from consecutive patients undergoing cardiac surgery between 2008 and 2018 in our institution served as the source for artificial intelligence-based modeling. Cardiac surgery-associated acute kidney injury was defined according to the Kidney Disease Improving Global Outcomes criteria. Different machine learning algorithms were trained and validated to detect cardiac surgery-associated acute kidney injury within 12 hours after surgery. Demographic characteristics, comorbidities, preoperative cardiac status, intra- and postoperative variables including creatinine and hemoglobin values were retrieved for analysis. Results: From 7507 patients analyzed, 1699 patients (22.6 %) developed cardiac surgery-associated acute kidney injury. The ultimate detection model, 'Detect-A(K)I', recognizes cardiac surgery-associated acute kidney injury within 12 hours with an area under the curve of 88.0 %, sensitivity of 78.0 %, specificity of 78.9 %, and accuracy of 82.1 %. The optimal parameter set includes serial changes of creatinine and hemoglobin, operative emergency, bleeding-associated variables, cardiac ischemic time and cardiac function-associated variables, age, diuretics and active infection, chronic obstructive lung and peripheral vascular disease. Conclusion: The 'Detect-A(K)I' model successfully detects cardiac surgery-associated acute kidney injury within 12 hours after surgery with the best discriminatory characteristics reported so far.
• Onboard Sensor Systems for Automatic Train Operation. Tagiew, Rustam; Leinhos, Dirk; von der Haar, Henrik; Klotz, Christian; Sprute, Dennis; Ziehn, Jens R.; Schmelter, Andreas; Witte, Stefan; Klasek, Pavel in Communications in Computer and Information Science, S. Marrone, M. D. Sanctis, I. Kocsis, R. Adler, R. Hawkins, P. Schleiß, S. Marrone, R. Nardone, F. Flammini, V. Vittorini (eds.) (2022). (Vol. 1656) 139–150.
• Artificial Intelligence-Based Early Detection Of Acute Kidney Injury After Cardiac Surgery. Kalisnik, Jurij Matija; Bauer, André; Vogt, Ferdinand Aurel; Stickl, Franziska Josephine; Zibert, Janez; Fittkau, Matthias; Bertsch, Thomas; Kounev, Samuel; Fischlein, Theodor (2022).

  Objectives: This study aims to improve early detection of cardiac surgery-associated acute kidney injury using artificial intelligence-based algorithms. Methods: Data from consecutive patients undergoing cardiac surgery between 2008 and 2018 in our institution served as the source for artificial intelligence-based modeling. Cardiac surgery-associated acute kidney injury was defined according to the Kidney Disease Improving Global Outcomes criteria. Different machine learning algorithms were trained and validated to detect cardiac surgery-associated acute kidney injury within 12 hours after surgery. Demographic characteristics, comorbidities, preoperative cardiac status, intra- and postoperative variables including creatinine and hemoglobin values were retrieved for analysis. Results: From 7507 patients analyzed, 1699 patients (22.6 %) developed cardiac surgery-associated acute kidney injury. The ultimate detection model, 'Detect-A(K)I', recognizes cardiac surgery-associated acute kidney injury within 12 hours with an area under the curve of 88.0 %, sensitivity of 78.0 %, specificity of 78.9 %, and accuracy of 82.1 %. The optimal parameter set includes serial changes of creatinine and hemoglobin, operative emergency, bleeding-associated variables, cardiac ischemic time and cardiac function-associated variables, age, diuretics and active infection, chronic obstructive lung and peripheral vascular disease. Conclusion: The 'Detect-A(K)I' model successfully detects cardiac surgery-associated acute kidney injury within 12 hours after surgery with the best discriminatory characteristics reported so far.
• AuditTrust: Blockchain-Based Audit Trail for Sharing Data in a Distributed Environment. Sanchez, Hugo Lloreda; Tysebaert, Sophie; Rath, Annanda; Rivière, Etienne in Communications in Computer and Information Science, S. Marrone, M. D. Sanctis, I. Kocsis, R. Adler, R. Hawkins, P. Schleiß, S. Marrone, R. Nardone, F. Flammini, V. Vittorini (eds.) (2022). (Vol. 1656) 5–17.
• ACC Fuzzy-Based Control Architecture for Multi-body High-Speed Trains with Active Inter-cars Couplers. Basile, Giacomo; Lui, Dario Giuseppe; Petrillo, Alberto; Santini, Stefania in Communications in Computer and Information Science, S. Marrone, M. D. Sanctis, I. Kocsis, R. Adler, R. Hawkins, P. Schleiß, S. Marrone, R. Nardone, F. Flammini, V. Vittorini (eds.) (2022). (Vol. 1656) 126–138.
• Formal Analysis Approach for Multi-layered System Safety and Security Co-engineering. Quamara, Megha; Pedroza, Gabriel; Hamid, Brahim in Communications in Computer and Information Science, S. Marrone, M. D. Sanctis, I. Kocsis, R. Adler, R. Hawkins, P. Schleiß, S. Marrone, R. Nardone, F. Flammini, V. Vittorini (eds.) (2022). (Vol. 1656) 18–31.
• Emotions in War: The Emotionality-Rationality Equation in Clausewitz’s Theory of War. Emeklier, Bilgehan; Emeklier, Nihal (2022). 6(1)

  Clausewitz introduced an inclusive equation between emotionality and rationality with regards to the debates on the causality and practice of war in modern strategic thought. In Clausewitz’s theory of war, war is a process of governmentality composed by three types of actors: states directing war (leaders and decision-makers), armies executing war (combatants), and people supporting war financially and morally (societies). In this trinitarian scheme, war is a continuous, mutually constitutive interactional process with emotional and rational components both between conflicting parties, and within each side. The aim of this article is to discuss how Clausewitz integrated the emotion-reason equation in his theory of war, to explain through an actor-level analysis how emotions affect, change, and transform war, and lastly to discuss the mutual constitutive relationship between wars and emotions in the contemporary global durable disorder.
• Hybrid ontology for safety, security, and dependability risk assessments and Security Threat Analysis (STA) method for industrial control systems. Alanen, Jarmo; Linnosmaa, Joonas; Malm, Timo; Papakonstantinou, Nikolaos; Ahonen, Toni; Heikkilä, Eetu; Tiusanen, Risto (2022). 220 108270.

  This paper introduces a model-based methodology for hybrid reliability, availability, maintainability, safety, and security (RAMSS) risk assessment management, which extends our previous work of model-based, data-driven, support for engineering mission-critical systems. It represents a hybrid risk assessment ontology, which harmonises basic concepts between dependability, safety and security based on well-known industrial standards. Based on the proposed ontology, we create a cybersecurity risk analysis method, called Security Threat Analysis (STA), for industrial control systems and successfully demonstrate the method. For the demonstration, we introduce a data model for creating a tool-supported data repository for STA, then implement this repository with a commercial-off-the-shelf tool. We use the repository to carry out an exemplary STA of a nuclear fuel pool cooling control system, assessing a cybersecurity-related hazard. The demonstration suggests that the hybrid RAMSS risk assessment ontology and the related STA data model are ready to be tested in industrial use, offering a structured data repository to support assessment and traceability between the created artefacts.
• Filosof’ia de la guerra en la Antigüedad Tard’ia. La tradición neoplatónica. Castillo, Luis Roger; others (2022). 11(22) 16–39.
• Marktführer des Online-Handels: Wirkungen auf Arbeit und Beschäftigung in Deutschland Fuchs, Martina; Dannenberg, Peter; Riedler, Tim; Wiedemann, Cathrin in Study der Hans-Böckler-Stiftung (2021). Hans-Böckler-Stiftung, Düsseldorf.

  Der Online-Handel verändert die Arbeitswelt tiefgreifend. In diesem strukturellen Umbruch treiben große internationale Leitfirmen des Online-Handels, wie Amazon und Alibaba, die Veränderungen voran. Diese Studie greift die Forschungen zu globalen Produktionsnetzwerken und lokalen Arbeitsprozessen auf und untersucht aus geographischer Perspektive die global-lokalen Zusammenhänge mit Blick auf räumliche Beschäftigungsdynamiken und Interessenvertretung in Deutschland.
• Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. Tritscher, Julian; Ring, Markus; Schlr, Daniel; Hettinger, Lena; Hotho, Andreas D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. W. Ra’s (eds.) (2020). 422–430.

  Evaluating the explanations given by post-hoc XAI approaches on tabular data is a challenging prospect, since the subjective judgement of explanations of tabular relations is non trivial in contrast to e.g. the judgement of image heatmap explanations. In order to quantify XAI performance on categorical tabular data, where feature relationships can often be described by Boolean functions, we propose an evaluation setting through generation of synthetic datasets. To create gold standard explanations, we present a definition of feature relevance in Boolean functions. In the proposed setting we evaluate eight state-of-the-art XAI approaches and gain novel insights into XAI performance on categorical tabular data. We find that the investigated approaches often fail to faithfully explain even basic relationships within categorical data.
• Nilpotent symplectic alternating algebras II. Sorkatti, Layla; Traustason, Gunnar (2016).
• Nilpotent symplectic alternating algebras I. Sorkatti, L.; Traustason, G. (2015). 423 615–635.

  Abstract We develop a structure theory for nilpotent symplectic alternating algebras.
• Coarse "split and lump" bilingual language models for richer source information in SMT. Stewart, Darlene A.; Kuhn, Roland; Joanis, Eric; Foster, George F. Y. Al-Onaizan, M. Simard (eds.) (2014). 28–41.
• A comparison of mixture and vector space techniques for translation model adaptation. Chen, Boxing; Kuhn, Roland; Foster, George F. Y. Al-Onaizan, M. Simard (eds.) (2014). 124–138.
• Identifying Implicit Relationships. https://usa5starit.com/product/buy-verified-binance accounts/ (24 24-hour Reply/Contact; ✅Email: usa5starit@gmail.com; ✅Skype: @usa5starit; ✅Telegram: @usa5starit1; ✅whatsapp:+1(716)5011667, eds.) (2012). 56(3/4) 12:1–12:10.

  Answering natural-language questions may often involve identifying hidden associations and implicit relationships. In some cases, an explicit question is asked by the user to discover some hidden concept related to a set of entities. Answering the explicit question and identifying the implicit entity both require the system to discover the semantically related but hidden concepts in the question. In this paper, we describe a spreading-activation approach to concept expansion, backed by three distinct knowledge resources for measuring semantic relatedness. We discuss how our spreading-activation approach is applied to address these questions, exemplified in Jeopardy! by questions in the “COMMON BONDS�? category and by many Final Jeopardy! questions. We demonstrate the effectiveness of the approach by measuring its impact on IBM Watson performance on these questions.
• Powerful 2-Engel groups II. Traustason, G. (2012). 319 3301–3323.
• Symplectic Alternating nil-algebras. Tortora, A.; Tota, M.; Traustason, G. (2012). 357 183–202.
• Engel groups. Traustason, G. (2011). Volume II, 520-550 Lecture Note Ser. 388.
• Translating Structured Documents. Foster, George F.; Isabelle, Pierre; Kuhn, Roland (2010).
• Hip and knee positions during the curling delivery. Technical Report (Master thesis), Kraemer, Ellanora PhD thesis, University of Wisconsin La Crosse. (2010).

  The primary purpose of this study was to determine the relationships between trunk, thigh, hip and knee measurements from the forward slide phase of the curling delivery. The second purpose of this study was to determine the relationship between hip goniometric measurements and hip measurements from the forward slide phase of the curling delivery. The third purpose of this study was to establish normative range of motion data for the trunk, thigh, hip and knee during the forward slide phase of the curling delivery. Sixty junior-level curlers (30 females, 30 males) aged 13-21 participated in active hip extension goniometric measurements and motion analysis of hip and knee positions during the curling delivery. A strong relationship was found between absolute trunk and relative hip measurements from the curling delivery. A fair relationship was found between absolute thigh and relative hip measurements from the curling delivery, along with absolute hip and relative knee measurements from the curling delivery. Gender differences were found for the absolute trunk and relative hip measurements from the curling delivery. No relationship was found between relative hip extension goniometric measurements and hip measurements from the curling delivery. Absolute trunk extension measurements from the curling delivery were 37.2" and 27.5" for female and male subjects. Absolute thigh measurements and relative knee measurements from the curling delivery were 33" and 3 1" for both genders. Relative hip measurements from the curling delivery were -3.9? and 5.7? for female and male subjects.
• Finite 3-groups of class 3 whose elements commute with their automorphic images. Abdollahi, A.; Faghihi, A.; Linton, SA.; OBrien, EA. (2010). 95(1) 1–7.
• Symplectic Alternating Algebra. Traustason, G. (2008). 18(4) 719–757.
• Powerful 2-Engel groups. Moravec, P.; Traustason, G. (2008). 36 4096–4119.
• Geometry and Topology in Relativistic Cosmology. Luminet, Jean-Pierre (2007).

  General relativity does not allow one to specify the topology of space, leaving the possibility that space is multiply rather than simply connected. We review the main mathematical properties of multiply connected spaces, and the different tools to classify them and to analyse their properties. Following their mathematical classification, we describe the different possible muticonnected spaces which may be used to construct Friedmann-Lemaitre universe models. Observational tests concern the distribution of images of discrete cosmic objects or more global effects, mainly those concerning the Cosmic Microwave Background. According to the 2003-2006 WMAP data releases, various deviations from the flat infinite universe model predictions hint at a possible non-trivial topology for the shape of space. In particular, a finite universe with the topology of the Poincaré dodecahedral spherical space fits remarkably well the data and is a good candidate for explaining both the local curvature of space and the large angle anomalies in the temperature power spectrum. Such a model of a small universe, whose volume would represent only about 80% the volume of the observable universe, offers an observational signature in the form of a predictable topological lens effect on one hand, and rises new issues on the physics of the early universe on the other hand.
• Ontologies informatiques. Gandon, Fabien (2006).
• Unsolved Problems in Group Theory. The Kourovka Notebook. No. 16. Mazurov, V. D.; Khukhro(eds.)00, E. I. (2006).
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  This paper discusses the ways in which automation of industrial processes may expand rather than eliminate problems with the human operator. Some comments will be made on methods of alleviating these problems within the 'classic' approach of leaving the operator with responsibility for abnormal conditions, and on the potential for continued use of the human operator for on-line decision-making within human-computer collaboration.
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