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1Hallucinations Can Improve Large Language Models in Drug Discovery
S. Yuan, and M. Färber. (2025)
a month ago by @scadsfct
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LLM
drug_discovery
hallucinations
yaff
LLMdrug_discoveryhallucinationsyaff
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1Excited-state nonadiabatic dynamics in explicit solvent using machine learned interatomic potentials
M. Tiefenbacher, B. Bachmair, C. Chen, J. Westermayr, P. Marquetand, J. Dietschreit, and L. González. Digital Discovery, 4 (6): 1478-1491 (2025)
a month ago by @scadsfct
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dynamics
interatomic
machine_learning
nonadiabatic
potentials
yaff
dynamicsinteratomicmachine_learningnonadiabaticpotentialsyaff
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1Isoperimetric Formulas for Hyperbolic Animals
É. Roldán, and R. Toalá-Enríquez. Graphs and Combinatorics, 41 (2): 38 (Feb 19, 2025)
a month ago by @scadsfct
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hyperbolic_animals
isoperimetric
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1Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets
R. Barrett, C. Ortner, and J. Westermayr. (2025)
a month ago by @scadsfct
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DeepSets
X-MACE
machine_learning
yaff
DeepSetsX-MACEmachine_learningyaff
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1Merging Hazy Sets with m-Schemes: A Geometric Approach to Data Visualization
L. Barth, H. Fahimi, P. Joharinad, J. Jost, and J. Keck. (2025)
a month ago by @scadsfct
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data-visualization
m-schemes
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1Complexity of chess domination problems
A. Langlois-Rémillard, M. Müssig, and É. Roldán. Research in the Mathematical Sciences, 12 (1): 14 (Feb 8, 2025)
a month ago by @scadsfct
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chess
domination_problems
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yaff
chessdomination_problemsxackyaff
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1Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
A. Politov, O. Shkalikov, R. Jäkel, and M. Färber. (2025)
a month ago by @scadsfct
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data_transfer
entity_recognition
languages
xack
yaff
data_transferentity_recognitionlanguagesxackyaff
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1Preordering: A hybrid of correlation clustering and partial ordering
J. Irmai, M. Moeller, and B. Andres. (2025)
a month ago by @scadsfct
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clustering
partial_ordering
preordering
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clusteringpartial_orderingpreorderingyaff
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1Query Repairs
B. ten Cate, P. Kolaitis, and C. Lutz. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, (2025)
a month ago by @scadsfct
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query
repairs
yaff
queryrepairsyaff
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1Immersive Data-Driven Storytelling: Scoping an Emerging Field Through the Lenses of Research, Journalism, and Games
J. Méndez, W. Luo, R. Rzayev, W. Büschel, and R. Dachselt. IEEE Transactions on Visualization and Computer Graphics, (2025)
a month ago by @scadsfct
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data-driven_storytelling
games
journalism
research
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data-driven_storytellinggamesjournalismresearchyaff
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1Multiomic profiling of T cell lymphoma after therapy with anti-BCMA CAR T cells and GPRC5D-directed bispecific antibody
T. Braun, M. Rade, M. Merz, H. Klepzig, F. Große, D. Fandrei, N. Pham, M. Kreuz, C. Kuhn, F. Kuschel and 13 other author(s). Nature Medicine, 31 (4): 1145--1153 (Apr 1, 2025)
a month ago by @scadsfct
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T_cell_lymphoma
antibody
cells
therapy
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T_cell_lymphomaantibodycellstherapyyaff
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1Decreasing aerosols increase the European summer diurnal temperature range
C. Roesch, E. Fons, A. Ballinger, J. Runge, and G. Hegerl. npj Climate and Atmospheric Science, 8 (1): 47 (Feb 12, 2025)
a month ago by @scadsfct
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aerosols
temperature
yaff
aerosolstemperatureyaff
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1Transforming Time Series into Graphs and Back with HyGraph
M. Ammar, S. Agarwal, A. Bonifati, and E. Rahm. (2025)
a month ago by @scadsfct
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HyGraph
graphs
yaff
HyGraphgraphsyaff
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1SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
A. Kulkarni, and S. Ghiasvand. (2025)
a month ago by @scadsfct
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xack
yaff
xackyaff
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1Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow
N. Torbati, M. Gaebler, S. Hofmann, and N. Scherf. (2025)
a month ago by @scadsfct
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xack
yaff
xackyaff
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1Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
Z. Qu, S. Yuan, M. Färber, M. Brennfleck, N. Wartha, and A. Stephan. (2025)
a month ago by @scadsfct
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cloud_segmentation
clustering
yaff
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1Benchmarking the RDF and Property Graph Model in the Temporal Dimension — A Case Study with Finbench
T. Hahn, M. Hofer, and E. Rahm. (2025)
a month ago by @scadsfct
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finbench
graph_model
xack
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1Federated Learning With Individualized Privacy Through Client Sampling
L. Lange, O. Borchardt, and E. Rahm. (2025)
a month ago by @scadsfct
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federated'_learning
privacy
xack
yaff
federated'_learningprivacyxackyaff
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1PRISMe: A Novel LLM-Powered Tool for Interactive Privacy Policy Assessment
V. Freiberger, A. Fleig, and E. Buchmann. (2025)
a month ago by @scadsfct
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PRISMe
privacy_policy_assessment
yaff
PRISMeprivacy_policy_assessmentyaff
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1Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
J. Jokinen, P. Ebel, and T. Kujala. (2025)
a month ago by @scadsfct
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automated_driving
supervisory_control
yaff
automated_drivingsupervisory_controlyaff
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1Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
R. Herman, J. Wahl, U. Ninad, and J. Runge. (2025)
a month ago by @scadsfct
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SCM_Generation
datasets
yaff
SCM_Generationdatasetsyaff
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1Long-Range Electrostatics in Serine Proteases: Machine Learning-Driven Reaction Sampling Yields Insights for Enzyme Design
A. Zlobin, V. Maslova, J. Beliaeva, J. Meiler, and A. Golovin. Journal of Chemical Information and Modeling, 65 (4): 2003–2013 (February 2025)
a month ago by @scadsfct
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enzyme_design
proteases
xack
yaff
enzyme_designproteasesxackyaff
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1Towards Trustworthy AI in Healthcare: Epistemic Uncertainty Estimation for Clinical Decision Support
A. Lindenmeyer, M. Blattmann, S. Franke, T. Neumuth, and D. Schneider. Journal of Personalized Medicine, 15 (2): 58 (January 2025)
a month ago by @scadsfct
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clinical_decision_support
healthcare
trustworthy_AI
xack
yaff
clinical_decision_supporthealthcaretrustworthy_AIxackyaff
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1asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkit
N. Koch, and S. Ghiasvand. (2025)
a month ago by @scadsfct
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In-Browser
Machine_Learning_Toolkit
No-Code
Offline-First
asanAI
xack
yaff
In-BrowserMachine_Learning_ToolkitNo-CodeOffline-FirstasanAIxackyaff
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3Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning
M. von Braun, K. Starke, L. Peter, D. Kürsten, F. Welle, H. Schneider, M. Wawrzyniak, D. Kaiser, G. Prasse, C. Richter and 8 other author(s). Brain, (January 2025)
a month ago by @scadsfct
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ischaemic_stroke
thrombectomy
xack
yaff
ischaemic_strokethrombectomyxackyaff
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1POTS - A Polyparadigmatic Ontology Term Search with Fine-Grained Context Steering using Hyper-Level Vector Spaces
J. Frey, L. Ferraz, and M. Hofer. Companion Proceedings of the ACM on Web Conference 2025, page 2831–2834. New York, NY, USA, Association for Computing Machinery, (2025)
a month ago by @scadsfct
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augmented_embedding
generation
graph_llms
lookup_ontology
ontology
owl
retrieval_retrieval
s
search
semantic_serviceterminology_term
xack
yaff
augmented_embeddinggenerationgraph_llmslookup_ontologyontologyowlretrieval_retrievalssearchsemantic_serviceterminology_termxackyaff
(0)
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1Artificial intelligence for modeling and understanding extreme weather and climate events
G. Camps-Valls, M. Fernández-Torres, K. Cohrs, A. Höhl, A. Castelletti, A. Pacal, C. Robin, F. Martinuzzi, I. Papoutsis, I. Prapas and 15 other author(s). Nature Communications, 16 (1): 1919 (Feb 24, 2025)
3 months ago by @scadsfct
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Artificial_intelligence
climate_events
extreme_weather
yaff
Artificial_intelligenceclimate_eventsextreme_weatheryaff
(0)
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1Sequence models for continuous cell cycle stage prediction from brightfield images
L. Leger, M. Leonardi, A. Salati, F. Naef, and M. Weigert. Medical Imaging with Deep Learning, (2025)
3 months ago by @scadsfct
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Sequence_models
brightfield_images
prediction
yaff
Sequence_modelsbrightfield_imagespredictionyaff
(0)
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1Towards Hybrid Graphs: Unifying Property Graphs and Time Series
M. Ammar, C. Rost, R. Tommasini, S. Agarwal, A. Bonifati, P. Selmer, E. Kharlamov, and E. Rahm. (2025)
3 months ago by @scadsfct
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Hybrid_Graphs
Property_Graphs
Time_Series
xack
yaff
Hybrid_GraphsProperty_GraphsTime_Seriesxackyaff
(0)
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1Hederagenin is a Highly Selective Antagonist of the Neuropeptide FF Receptor 1 that Reveals Mechanisms for Subtype Selectivity
H. Lentschat, F. Liessmann, C. Tydings, T. Schermeng, J. Stichel, N. Urban, M. Schaefer, J. Meiler, and A. Beck‐Sickinger. Angewandte Chemie International Edition, (December 2025)
3 months ago by @scadsfct
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yaff
yaff
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1Toward a theory on programmer's block inspired by writer's block
B. Schantong, N. Siegmund, and J. Siegmund. Empirical Software Engineering, 30 (1): 15 (Oct 30, 2024)
3 months ago by @scadsfct
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yaff
yaff
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1The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain
S. Hofmann, O. Goltermann, N. Scherf, K. Müller, M. Löffler, A. Villringer, M. Gaebler, A. Witte, and F. Beyer. Imaging Neuroscience, (2025)
3 months ago by @scadsfct
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MRI
explainable_AI
neuroimaging
yaff
MRIexplainable_AIneuroimagingyaff
(0)
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1Binding Mode of Cyclic Chemerin-9 Peptide and ChemerinS157 Protein at CMKLR1
T. Schermeng, F. Liessmann, C. Katharina Ambrosius, J. Meiler, and A. Beck-Sickinger. ChemBioChem, 26 (1): e202400695 (2025)
3 months ago by @scadsfct
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CMKLR1
Chemerin
Computational_Protein
Receptor
modeling
xack
yaff
CMKLR1ChemerinComputational_ProteinReceptormodelingxackyaff
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1Partial Optimality in the Linear Ordering Problem
D. Stein, and B. Andres. Proceedings of the 41st International Conference on Machine Learning, volume 235 of Proceedings of Machine Learning Research, page 46514--46529. PMLR, (21--27 Jul 2024)
3 months ago by @scadsfct
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yaff
yaff
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1QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
T. Schrader, L. Lange, S. Razniewski, and A. Friedrich. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, page 2634--2652. Miami, Florida, USA, Association for Computational Linguistics, (November 2024)
3 months ago by @scadsfct
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Bayesian
NaturalLanguage
Reasoning
Text
yaff
BayesianNaturalLanguageReasoningTextyaff
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1GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
S. Yuan, E. Nie, M. Färber, H. Schmid, and H. Schuetze. Findings of the Association for Computational Linguistics: ACL 2024, page 3987--4001. Bangkok, Thailand, Association for Computational Linguistics, (August 2024)
3 months ago by @scadsfct
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GraphNeuralNetwork
LLMs
LargeLanguageModels
xack
yaff
GraphNeuralNetworkLLMsLargeLanguageModelsxackyaff
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1Embedded Named Entity Recognition using Probing Classifiers
N. Popovic, and M. Färber. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, page 17830--17850. Association for Computational Linguistics, (2024)
3 months ago by @scadsfct
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yaff
yaff
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1The Sticky Path to Expressive Querying: Decidability of Navigational Queries under Existential Rules
P. Ostropolski-Nalewaja, and S. Rudolph. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, page 574--584. IJCAI Organization, (August 2024)
3 months ago by @scadsfct
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yaff
yaff
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1Reasoning in SHIQ with Axiom- and Concept-Level Standpoint Modalities
L. Gómez Álvarez, and S. Rudolph. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, page 383--393. (August 2024)
3 months ago by @scadsfct
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yaff
yaff
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1Spectra of Cardinality Queries over Description Logic Knowledge Bases
Q. Manière, and M. Przybyłko. Proceedings of the AAAI Conference on Artificial Intelligence, 39, page 15067--15074. (2025)
3 months ago by @scadsfct
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description
knowledge
logic
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descriptionknowledgelogicxackyaff
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1Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions
S. Heineking, J. Probst, D. Steinbach, M. Potthast, and H. Scells. Advances in Information Retrieval, page 128--137. Cham, Springer Nature Switzerland, (April 2025)
3 months ago by @scadsfct
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Retrieval
ranking
yaff
Retrievalrankingyaff
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2Manipulating Embeddings of Stable Diffusion Prompts
N. Deckers, J. Peters, and M. Potthast. 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), page 7636--7644. International Joint Conferences on Artificial Intelligence Organization, (August 2024)
3 months ago by @scadsfct
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Embeddings
Prompts
StableDiffusion
topic_language
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EmbeddingsPromptsStableDiffusiontopic_languageyaff
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1Explainable AI in Usable Privacy and Security: Challenges and Opportunities
V. Freiberger, A. Fleig, and E. Buchmann. (2025)
3 months ago by @scadsfct
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AI
Challenges
Explainable
Opportunities
Privacy
Security
Usable
yaff
AIChallengesExplainableOpportunitiesPrivacySecurityUsableyaff
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2High-Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers
Y. Liu, S. Rai, S. Ullah, and A. Kumar. IEEE Embedded Systems Letters, 15 (4): 194-197 (2023)
5 months ago by @scadsfct
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yaff
yaff
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2BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators
Y. Liu, S. Ullah, and A. Kumar. 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), page 220-220. (2024)
5 months ago by @scadsfct
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yaff
yaff
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2Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
F. Rohde, V. Christen, M. Franke, and E. Rahm. Datenbanksysteme für Business, Technologie und Web (BTW 2025), page 393--415. Gesellschaft für Informatik, Bonn, (2025)
5 months ago by @scadsfct
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privacy
yaff
xack
privacyyaffxack
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2Automated Quantification of Photoreceptor Outer Segments in Developing and Degenerating Retinas on Microscopic Images across Scales
S. Seidemann, F. Salomon, K. Hoffmann, T. Kurth, I. Sbalzarini, R. Haase, and M. Ader. Investigative Ophthalmology & Visual Science, 65 (7): 5878--5878 (2024)
5 months ago by @scadsfct
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2Common limitations of image processing metrics: A picture story
A. Reinke, M. Tizabi, C. Sudre, M. Eisenmann, T. Rädsch, M. Baumgartner, L. Acion, M. Antonelli, T. Arbel, S. Bakas and 1 other author(s). arXiv preprint arXiv:2104.05642, (2021)
5 months ago by @scadsfct
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2Timely neurogenesis enables increased nuclear packing order during neuronal lamination
L. Ferme, A. Ryan, R. Haase, C. Modes, and C. Norden. bioRxiv, (2024)
5 months ago by @scadsfct
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2LABKIT: labeling and segmentation toolkit for big image data
M. Arzt, J. Deschamps, C. Schmied, T. Pietzsch, D. Schmidt, P. Tomancak, R. Haase, and F. Jug. Frontiers in computer science, (2022)
5 months ago by @scadsfct
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