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ORCIDFlorian Matthes
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
[c345]Stephen Meisenbacher
, Florian Matthes:
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. ARES 2024: 133:1-133:11- [c344]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) 2024: 9314-9328 - [c343]Daniel Braun, Florian Matthes:
AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts. ACL (1) 2024: 10389-10405 - [c342]Juraj Vladika, Phillip Schneider, Florian Matthes:
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. ACL (Findings) 2024: 14459-14469 - [c341]Burak Öz, Danning Sui, Thomas Thiery, Florian Matthes:
Who Wins Ethereum Block Building Auctions and Why? AFT 2024: 22:1-22:25 - [c340]Alexandra Klymenko, Stephen Meisenbacher, Ali Asaf Polat, Florian Matthes:
Breaking Down Privacy by Design: A Threefold Perspective. AMCIS 2024 - [c339]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. AMCIS 2024 - [c338]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. IWSPA@CODASPY 2024: 23-33 - [c337]Stephen Joseph Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off. LREC/COLING 2024: 174-185 - [c336]Juraj Vladika, Phillip Schneider, Florian Matthes:
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking. LREC/COLING 2024: 8095-8107 - [c335]Felix Hoops, Florian Matthes:
A Middleware Architecture for Self-Sovereign Identity Authentication and Authorization. DAPPS 2024: 79-85 - [c334]Phillip Schneider, Manuel Klettner, Elena Simperl, Florian Matthes:
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation. EACL (2) 2024: 358-367 - [c333]Juraj Vladika, Florian Matthes:
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. EACL (1) 2024: 2103-2114 - [c332]Milena Zahn, Tobias Müller, Florian Matthes:
Supporting Managerial Decision-Making for Federated Machine Learning: Design of a Technology Selection Tool. HICSS 2024: 6738-6747 - [c331]Sascha Nägele, Jan-Philipp Watzelt, Florian Matthes:
Assessing Team Security Maturity in Large-Scale Agile Development. HICSS 2024: 7259-7268 - [c330]Tobias Müller, Milena Zahn, Florian Matthes:
Revealing the Impacting Factors for the Adoption of Federated Machine Learning in Organizations. HICSS 2024: 7343-7352 - [c329]Anum Afzal, Tao Xiang, Florian Matthes:
A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop. ICAART (3) 2024: 42-49 - [c328]Juraj Vladika, Alexander Fichtl, Florian Matthes:
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs. ICAART (2) 2024: 376-387 - [c327]Phillip Schneider, Manuel Klettner, Kristiina Jokinen, Elena Simperl, Florian Matthes:
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. ICAART (3) 2024: 807-814 - [c326]Sascha Nägele, Nathalie Schenk, Nico Fechtner, Florian Matthes:
Balancing Autonomy and Control: An Adaptive Approach for Security Governance in Large-Scale Agile Development. ICEIS (2) 2024: 17-28 - [c325]Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes:
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. ICEIS (2) 2024: 41-52 - [c324]Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes:
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. BBBBBBBBBB 2024: 159-165 - [c323]Juraj Vladika, Florian Matthes:
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval. NAACL-HLT (Findings) 2024: 4752-4763 - [c322]Burak Öz, Filip Rezabek, Jonas Gebele, Felix Hoops, Florian Matthes:
A Study of MEV Extraction Techniques on a First-Come-First-Served Blockchain. SAC 2024: 288-297 - [c321]Phillip Schneider, Nektarios Machner, Kristiina Jokinen, Florian Matthes:
Bridging Information Gaps in Dialogues with Grounded Exchanges Using Knowledge Graphs. SIGDIAL 2024: 110-120 - [c320]Franziska Tobisch, Johannes Schmidt, Florian Matthes:
Investigating Communities of Practice in Large-Scale Agile Software Development: An Interview Study. XP 2024: 3-19 - [c319]Franziska Tobisch, Karla Weigelt, Pascal Philipp, Florian Matthes:
Investigating Effort Estimation in a Large-Scale Agile ERP Transformation Program. XP 2024: 70-86 - [i61]Phillip Schneider, Manuel Klettner, Kristiina Jokinen, Elena Simperl, Florian Matthes:
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. CoRR abs/2401.01711 (2024) - [i60]Burak Öz, Jonas Gebele, Parshant Singh, Filip Rezabek, Florian Matthes:
Playing the MEV Game on a First-Come-First-Served Blockchain. CoRR abs/2401.07992 (2024) - [i59]Felix Hoops, Florian Matthes:
A Universal System for OpenID Connect Sign-ins with Verifiable Credentials and Cross-Device Flow. CoRR abs/2401.09488 (2024) - [i58]Phillip Schneider, Manuel Klettner, Elena Simperl, Florian Matthes:
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation. CoRR abs/2402.01495 (2024) - [i57]Juraj Vladika, Florian Matthes:
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification. CoRR abs/2402.02844 (2024) - [i56]Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes:
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing. CoRR abs/2404.01443 (2024) - [i55]Stephen Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off. CoRR abs/2404.03324 (2024) - [i54]Juraj Vladika, Florian Matthes:
Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval. CoRR abs/2404.08359 (2024) - [i53]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. CoRR abs/2404.18759 (2024) - [i52]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. CoRR abs/2405.01678 (2024) - [i51]Stephen Meisenbacher, Florian Matthes:
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. CoRR abs/2405.19831 (2024) - [i50]Juraj Vladika, Phillip Schneider, Florian Matthes:
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering. CoRR abs/2406.05845 (2024) - [i49]Daniel Braun, Florian Matthes:
AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts. CoRR abs/2406.06809 (2024) - [i48]Tim Schopf, Florian Matthes:
NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing. CoRR abs/2406.15294 (2024) - [i47]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. CoRR abs/2407.00637 (2024) - [i46]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. CoRR abs/2407.00638 (2024) - [i45]Phillip Schneider, Wessel Poelman, Michael Rovatsos, Florian Matthes:
Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components. CoRR abs/2407.00997 (2024) - [i44]Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes:
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. CoRR abs/2407.02027 (2024) - [i43]Anum Afzal, Alexander Kowsik, Rajna Fani, Florian Matthes:
Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop. CoRR abs/2407.05925 (2024) - [i42]Anum Afzal, Ribin Chalumattu, Florian Matthes, Laura Mascarell:
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization. CoRR abs/2407.11591 (2024) - [i41]Burak Öz, Danning Sui, Thomas Thiery, Florian Matthes:
Who Wins Ethereum Block Building Auctions and Why? CoRR abs/2407.13931 (2024) - [i40]Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes:
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. CoRR abs/2407.14085 (2024) - [i39]Phillip Schneider, Nektarios Machner, Kristiina Jokinen, Florian Matthes:
Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs. CoRR abs/2408.01088 (2024) - 2023
- [j37]Gonzalo Munilla Garrido, Xiaoyuan Liu, Florian Matthes, Dawn Song:
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry. Proc. Priv. Enhancing Technol. 2023(2): 151-170 (2023) - [c318]Sascha Nägele, Lorena Korn, Florian Matthes:
Adoption of Information Security Practices in Large-Scale Agile Software Development: A Case Study in the Finance Industry. ARES 2023: 11:1-11:12 - [c317]Juraj Vladika, Florian Matthes:
Scientific Fact-Checking: A Survey of Resources and Approaches. ACL (Findings) 2023: 6215-6230 - [c316]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. AMCIS 2023 - [c315]Tobias Müller, Milena Zahn, Florian Matthes:
A Process Model for the Practical Adoption of Federated Machine Learning. AMCIS 2023 - [c314]Felix Hoops, Alexander Mühle, Florian Matthes, Christoph Meinel:
A Taxonomy of Decentralized Identifier Methods for Practitioners. DAPPS 2023: 57-65 - [c313]Burak Öz, Benjamin Kraner, Nicoló Vallarano, Bingle Stegmann Kruger, Florian Matthes, Claudio Juan Tessone:
Time Moves Faster When There is Nothing You Anticipate: The Role of Time in MEV Rewards. DeFi@CCS 2023: 1-8 - [c312]Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Investigating Conversational Search Behavior for Domain Exploration. ECIR (2) 2023: 608-616 - [c311]Tobias Müller, Milena Zahn, Florian Matthes:
Unlocking the Potential of Collaborative AI - On the Socio-Technical Challenges of Federated Machine Learning. ECIS 2023 - [c310]Peter Kuhn, Giulia Maragno, Dian Balta, Luca Gastaldi, Florian Matthes:
Government as a Platform in Practice: Commonalities and Differences Across Three European Countries. EGOV 2023: 34-47 - [c309]Tim Schopf, Nektarios Machner, Florian Matthes:
A Knowledge Graph Approach for Exploratory Search in Research Institutions. KMIS 2023: 265-270 - [c308]Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them. ICAART (3) 2023: 682-689 - [c307]Tobias Müller, Milena Zahn, Florian Matthes:
On the Adoption of Federated Machine Learning: Roles, Activities and Process Life Cycle. ICEIS (1) 2023: 525-531 - [c306]Tri Huynh, Selin Erdem, Felix Martin Eckert, Florian Matthes:
Acadela: A Domain-Specific Language for Modeling Clinical Pathways. ICSOFT 2023: 46-58 - [c305]Pascal Philipp, Franziska Tobisch, Leon Menzel, Florian Matthes:
A Method for Metric Management at a Large-Scale Agile Software Development Organization. IWSM-Mensura 2023 - [c304]Tobias Müller, Milena Zahn, Florian Matthes:
A Pathway for the Practical Adoption of Federated Machine Learning Projects. PACIS 2023: 6 - [c303]Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes:
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search. PACLIC 2023: 609-619 - [c302]Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes:
Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living. PETRA 2023: 645-651 - [c301]Tim Schopf, Karim Arabi, Florian Matthes:
Exploring the Landscape of Natural Language Processing Research. RANLP 2023: 1034-1045 - [c300]Tim Schopf, Dennis N. Schneider, Florian Matthes:
Efficient Domain Adaptation of Sentence Embeddings Using Adapters. RANLP 2023: 1046-1053 - [c299]Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes:
AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge. RANLP 2023: 1054-1065 - [c298]Juraj Vladika, Florian Matthes:
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports. SemEval@ACL 2023: 1863-1870 - [c297]Sascha Nägele, Nathalie Schenk, Florian Matthes:
The Current State of Security Governance and Compliance in Large-Scale Agile Development: A Systematic Literature Review and Interview Study. CBI 2023: 1-10 - [c296]Peter Kuhn, Liudmila Zavolokina, Dian Balta, Florian Matthes:
Toward Government as a Platform: An Analysis Method for Public Sector Infrastructure. Wirtschaftsinformatik 2023: 41 - [c295]Alexandra Klymenko, Stephen Meisenbacher, Florian Messmer, Florian Matthes:
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. CIISR@Wirtschaftsinformatik 2023: 62-69 - [c294]Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes:
The Structure of Data Privacy Compliance. CIISR@Wirtschaftsinformatik 2023: 85-91 - [i38]Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Investigating Conversational Search Behavior For Domain Exploration. CoRR abs/2301.04098 (2023) - [i37]Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes:
Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living. CoRR abs/2303.14286 (2023) - [i36]Juraj Vladika, Florian Matthes:
Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports. CoRR abs/2304.13180 (2023) - [i35]Tobias Müller, Milena Zahn, Florian Matthes:
Unlocking the Potential of Collaborative AI - On the Socio-technical Challenges of Federated Machine Learning. CoRR abs/2304.13688 (2023) - [i34]Juraj Vladika, Florian Matthes:
Scientific Fact-Checking: A Survey of Resources and Approaches. CoRR abs/2305.16859 (2023) - [i33]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. CoRR abs/2306.15497 (2023) - [i32]Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them. CoRR abs/2307.00963 (2023) - [i31]Tim Schopf, Dennis N. Schneider, Florian Matthes:
Efficient Domain Adaptation of Sentence Embeddings using Adapters. CoRR abs/2307.03104 (2023) - [i30]Burak Öz, Benjamin Kraner, Nicoló Vallarano, Bingle Stegmann Kruger, Florian Matthes, Claudio Juan Tessone:
Time Moves Faster When There is Nothing You Anticipate: The Role of Time in MEV Rewards. CoRR abs/2307.05814 (2023) - [i29]Tim Schopf, Emanuel Gerber, Malte Ostendorff, Florian Matthes:
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity using Contrastive Learning and Structured Knowledge. CoRR abs/2307.07851 (2023) - [i28]Tim Schopf, Karim Arabi, Florian Matthes:
Exploring the Landscape of Natural Language Processing Research. CoRR abs/2307.10652 (2023) - [i27]Tobias Müller, Maximilian Stäbler, Hugo Gascón, Frank Köster, Florian Matthes:
SoK: Assessing the State of Applied Federated Machine Learning. CoRR abs/2308.02454 (2023) - [i26]Burak Öz, Jonas Gebele, Filip Rezabek, Felix Hoops, Florian Matthes:
A First Study of MEV on an Up-and-Coming Blockchain: Algorand. CoRR abs/2308.06513 (2023) - [i25]Juraj Vladika, Phillip Schneider, Florian Matthes:
HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking. CoRR abs/2309.08503 (2023) - [i24]Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes:
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search. CoRR abs/2310.05150 (2023) - [i23]Felix Hoops, Alexander Mühle, Florian Matthes, Christoph Meinel:
A Taxonomy of Decentralized Identifier Methods for Practitioners. CoRR abs/2311.03367 (2023) - [i22]Tim Schopf, Nektarios Machner, Florian Matthes:
A Knowledge Graph Approach for Exploratory Search in Research Institutions. CoRR abs/2311.15688 (2023) - [i21]Juraj Vladika, Alexander Fichtl, Florian Matthes:
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs. CoRR abs/2312.13881 (2023) - 2022
- [j36]Florian Matthes, Jan Mendling, Stefanie Rinderle-Ma:
Preface to the EDOC 2016 Special Issue. Inf. Syst. 108: 101288 (2022) - [j35]Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludag, Ilias Soto Alaoui, André Luckow, Florian Matthes:
Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review. J. Netw. Comput. Appl. 207: 103465 (2022) - [j34]Ömer Uludag, Pascal Philipp, Abheeshta Putta, Maria Paasivaara, Casper Lassenius, Florian Matthes:
Revealing the state of the art of large-scale agile development research: A systematic mapping study. J. Syst. Softw. 194: 111473 (2022) - [j33]Michael Felderer, Wilhelm Hasselbring, Heiko Koziolek, Carola Lilienthal, Florian Matthes, Lutz Prechelt, Ralf H. Reussner, Bernhard Rumpe, Ina Schaefer:
Ernst Denert Software-Engineering-Preis 2021. Softwaretechnik-Trends 42(2): 3 (2022) - [c293]Tim Schopf, Kilian Dresse, Florian Matthes:
Towards AI Platforms for Stationary Retail. AI4I 2022: 22 - [c292]Pascal Philipp, Franziska Tobisch, Florian Matthes:
Challenges and Success Factors for Metrics in Large-Scale Agile Development. AMCIS 2022 - [c291]Pascal Philipp, Franziska Tobisch, Leon Menzel, Florian Matthes:
Toward a Metric Catalog for Large-Scale Agile Development. AMCIS 2022 - [c290]Peter Kuhn, Dian Balta, Florian Matthes:
Closing the GaaP: Lessons Learned from a Web-based Analysis Tool for Practitioners. EGOV-CeDEM-ePart-* 2022 - [c289]Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. ESEM 2022: 261-271 - [c288]Peter Kuhn, Matthias Buchinger, Dian Balta, Florian Matthes:
Barriers of applying Government as a Platform in Practice: Evidence from Germany. HICSS 2022: 1-10 - [c287]Tim Schopf, Simon Klimek, Florian Matthes:
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction. KDIR 2022: 243-248 - [c286]Tobias Müller, Nadine Gaertner, Nemrude Verzano, Florian Matthes:
Barriers to the Practical Adoption of Federated Machine Learning in Cross-company Collaborations. ICAART (3) 2022: 581-588 - [c285]Stefanie Urchs, Akshaya Muralidharan, Florian Matthes:
How to Simplify Law Automatically? A Study on South Korean Legislation and Its Simplified Version. ICAART (3) 2022: 697-704 - [c284]Gloria Bondel, Arif Cerit, Florian Matthes:
Challenges of API Documentation from a Provider Perspective and Best Practices for Examples in Public Web API Documentation. ICEIS (2) 2022: 268-279 - [c283]Phillip Schneider, Markus Voggenreiter, Abdullah Gulraiz, Florian Matthes:
Semantic Similarity-Based Clustering of Findings From Security Testing Tools. ICNLSP 2022: 134-143 - [c282]Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes:
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. AACL/IJCNLP (1) 2022: 601-614 - [c281]Juraj Vladika, Stephen Meisenbacher, Florian Matthes:
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. GermEval@KONVENS 2022: 51-56 - [c280]Tim Schopf, Peter Weinberger, Thomas Kinkeldei, Florian Matthes:
Towards Bilingual Word Embedding Models for Engineering: Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages. MSIE 2022: 407-413 - [c279]Tim Schopf, Daniel Braun, Florian Matthes:
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches. NLPIR 2022: 6-15 - [c278]Pascal Philipp, Moritz Schüll, Florian Matthes:
Investigating the Establishment of Goals in Large-Scale Agile Development. PACIS 2022: 164 - [c277]Pascal Philipp, Franziska Tobisch, Florian Matthes:
Investigating the Adoption of Metrics in Large-Scale Agile Software Development. PACIS 2022: 231 - [c276]