2025
Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse
Simson J, Draxler F, Mehr S, Kern C. Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse. 2025, 1-30. DOI: 10.1145/3706598.3713482.Peer-Reviewed Original ResearchMachine learningCentral design decisionsDesign decisionsData practicesModel building pipelineML pipelineInherent trade-offIterative developmentCitizen science platformScience platformSystem outputInputTrade-OffsPrivacyDiverse stakeholdersPeople's inputDecisionPipelinePublic participationParticipatory inputPrivacy in population protocols with probabilistic scheduling
Amir T, Aspnes J. Privacy in population protocols with probabilistic scheduling. Theoretical Computer Science 2025, 1024: 114926. DOI: 10.1016/j.tcs.2024.114926.Peer-Reviewed Original ResearchPopulation protocol modelProtocol modelProbabilistic schedulingInformation-theoreticInput vectorAnalyze distributed algorithmsDefinition of privacyConcept of anonymityIssues of privacyIoT devicesSensor networksMobile agentsAgents' inputsPopulation protocolsPrivacyAlgorithmIoTSchedulingDeniabilityProtocolInputGuaranteesAnonymityDronesVector
2024
PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation
Zhou B, Chen T, Hou J, Zhou Y, Xie H, Liu C, Duncan J. PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation. Lecture Notes In Computer Science 2024, 15241: 259-268. DOI: 10.1007/978-3-031-73284-3_26.Peer-Reviewed Original ResearchEfficient plug-and-play moduleDenoising diffusion probabilistic modelPlug-and-play moduleDiffusion probabilistic modelState-of-the-artMedical image analysisDeep modelsSegmentation datasetUncertainty estimationSegmentation resultsImproved segmentationSegmentation modelMorphological operationsBinary segmentationSegmentation improvementProbabilistic modelUncertainty mapsDiffusion moduleReverse pathPerturbation segmentsSegmental inputsImage analysisSegmentsInputModulation
2023
PET image denoising based on denoising diffusion probabilistic model
Gong K, Johnson K, El Fakhri G, Li Q, Pan T. PET image denoising based on denoising diffusion probabilistic model. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 358-368. PMID: 37787849, PMCID: PMC10958486, DOI: 10.1007/s00259-023-06417-8.Peer-Reviewed Original ResearchConceptsDenoising diffusion probabilistic modelPET image denoisingDiffusion probabilistic modelImage denoisingDenoising methodNonlocal meansNetwork inputGenerative adversarial networkData consistency constraintsProbabilistic modelLearning-based modelsAdversarial networkData distributionDenoisingRefinement stepsIterative refinementFlexible frameworkImage qualityPhysical degrading factorsUNetNetworkDatasetImagesInputNoise levelTHA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution
Rouzrokh P, Khosravi B, Mickley J, Erickson B, Taunton M, Wyles C. THA-Net: A Deep Learning Solution for Next-Generation Templating and Patient-specific Surgical Execution. The Journal Of Arthroplasty 2023, 39: 727-733.e4. PMID: 37619804, DOI: 10.1016/j.arth.2023.08.063.Peer-Reviewed Original ResearchThe cellular architecture of memory modules in Drosophila supports stochastic input integration
Hafez O, Escribano B, Ziegler R, Hirtz J, Niebur E, Pielage J. The cellular architecture of memory modules in Drosophila supports stochastic input integration. ELife 2023, 12: e77578. PMID: 36916672, PMCID: PMC10069864, DOI: 10.7554/elife.77578.Peer-Reviewed Original ResearchConceptsKenyon cellsDecision moduleEfficient storageComputational principlesMushroom bodiesMB output neuronsPatch-clamp recordingsSpiking behaviorOutput neuronsMemory modulesInput integrationOdor inputSynaptic inputsStochastic connectionsArchitectureSynaptic localizationSynaptic connectionsDecision makingComputational modelInputMemoryNeuronsCellular architectureValenced informationModulation
2022
Odour motion sensing enhances navigation of complex plumes
Kadakia N, Demir M, Michaelis B, DeAngelis B, Reidenbach M, Clark D, Emonet T. Odour motion sensing enhances navigation of complex plumes. Nature 2022, 611: 754-761. PMID: 36352224, PMCID: PMC10039482, DOI: 10.1038/s41586-022-05423-4.Peer-Reviewed Original ResearchConceptsRobot navigationVirtual agentsEffective navigationMultiple featuresMultiple streamsNavigationUncertain environmentMotion sensingVirtual reality paradigmTemporal correlationDirectional informationNavigational decisionsInformationComplex plumesSensingAlgorithmSensory inputInputParadigmSearchEnvironmentStreamsGeneralityStructure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement
Liu X, Xing F, Prince J, Stone M, El Fakhri G, Woo J. Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement. Proceedings Of SPIE--the International Society For Optical Engineering 2022, 12032: 120321q-120321q-7. PMID: 36203947, PMCID: PMC9533681, DOI: 10.1117/12.2610655.Peer-Reviewed Original ResearchStructure feature extractorImage style transferSelf-training schemeStyle transferFeature extractorAdversarial gameSynthesized imagesInformation w.Superior performanceStructural consistencyTask-specificCycle reconstructionStructural encodingImagesDiscoGANCycleGANEncodingExtractorExtraction stepNetworkSchemeGameInput
2016
Chapter 8 Mobile Technologies and Clinical Computing
Nadkarni P. Chapter 8 Mobile Technologies and Clinical Computing. 2016, 159-171. DOI: 10.1016/b978-0-12-803130-8.00008-7.Peer-Reviewed Original Research
2015
Testing sensory evidence against mnemonic templates
Myers N, Rohenkohl G, Wyart V, Woolrich M, Nobre A, Stokes M. Testing sensory evidence against mnemonic templates. ELife 2015, 4: e09000. PMID: 26653854, PMCID: PMC4755744, DOI: 10.7554/elife.09000.Peer-Reviewed Original ResearchConceptsVisual target detection taskTarget detection taskStimulus encodingTemplate codeNeural modelTemplate representationPerceptual decisionsSensory evidenceNeural representationTemplate informationStimulus onsetCross-generationTransform inputsPre-activationStimuliDecision stageRepresentationInternal templatePattern analysisClassic studyCurrent inputComplex trajectoriesInputEncodingProposal
2014
The complexity of automated addition of fault-tolerance without explicit legitimate states
Abujarad F, Lin Y, Bonakdarpour B, Kulkarni S. The complexity of automated addition of fault-tolerance without explicit legitimate states. Distributed Computing 2014, 28: 201-219. DOI: 10.1007/s00446-014-0227-2.Peer-Reviewed Original Research
2013
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection
Shen Y, Kuo T, Yeh I, Chen T, Lin S. Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. Lecture Notes In Computer Science 2013, 7818: 276-288. DOI: 10.1007/978-3-642-37453-1_23.Peer-Reviewed Original Research
2010
Quorum percolation in living neural networks
Cohen O, Keselman A, Moses E, Martínez M, Soriano J, Tlusty T. Quorum percolation in living neural networks. EPL (Europhysics Letters) 2010, 89: 18008. DOI: 10.1209/0295-5075/89/18008.Peer-Reviewed Original Research
2009
How people talk when teaching a robot
Kim E, Leyzberg D, Tsui K, Scassellati B. How people talk when teaching a robot. 2009, 23-30. DOI: 10.1145/1514095.1514102.Peer-Reviewed Original ResearchRobot learnerVocal inputMachine learning algorithmsInteraction taxonomyLearning algorithmsReward functionHuman teacherSocial learning interactionsObservations of human behaviorOne-on-one interactionsRobotLearning interactionsLearnersHuman behaviorMachineRobotics dinosaurInputAffective vocalizationsAlgorithmAffective prosodyHuman tendency
2008
Development of input connections in neural cultures
Soriano J, Martínez M, Tlusty T, Moses E. Development of input connections in neural cultures. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 13758-13763. PMID: 18772389, PMCID: PMC2544527, DOI: 10.1073/pnas.0707492105.Peer-Reviewed Original ResearchConceptsRatio of excitatory to inhibitory neuronsConnectivity of networksGlobal informationNeuronal culturesInput connectionsSpontaneous bursting activityEmergence of connectionsGABA switchInhibitory neuronsInhibitory cellsMechanism of percolationNetworkCortical culturesNeuronal densityDay 7Hippocampal culturesCortical neuronsHippocampal neuronsInputNeuronsActive inputsBurst activityNeural culturesHippocampalConnection
2007
Efficient, fully local algorithms for CIOQ switches
Firoozshahian A, Manshadi V, Goel A, Prabhakar B. Efficient, fully local algorithms for CIOQ switches. 2007, 2491-2495. DOI: 10.1109/infcom.2007.307.Peer-Reviewed Original Research
1998
Tools for Immunization Guideline Knowledge Maintenance II. Automated Web-Based Generation of User-Customized Test Cases
Miller P, Frawley S, Brandt C, Sayward F. Tools for Immunization Guideline Knowledge Maintenance II. Automated Web-Based Generation of User-Customized Test Cases. Journal Of Biomedical Informatics 1998, 31: 190-208. PMID: 9628750, DOI: 10.1006/cbmr.1998.1471.Peer-Reviewed Original ResearchTrauma Registry Data Definition, Acquisition, and Evaluation
Degutis L. Trauma Registry Data Definition, Acquisition, and Evaluation. Health Informatics 1998, 173-188. DOI: 10.1007/978-1-4612-1636-0_8.Peer-Reviewed Original Research
1996
Highly fault-tolerant parallel computation
Spielman D. Highly fault-tolerant parallel computation. 2011 IEEE 52nd Annual Symposium On Foundations Of Computer Science 1996, 154-163. DOI: 10.1109/sfcs.1996.548474.Peer-Reviewed Original ResearchParallel computationComputational devicesReed-Solomon codesFault-tolerant computationError-correcting codesSmall overheadWrong outputValid inputsW processorsProcessorsMachineComputationSequential timeFaulty machineConstant factorCodeConstant probabilityFault-tolerant machineOverheadTime stepInputDevicesFailure probabilityOutputModel
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply