[{"command":"settings","settings":{"pluralDelimiter":"\u0003","suppressDeprecationErrors":true,"entitySetting":{"type":"bibcite_reference","bundle":"journal_article","mapping":{"node":{"blog":"blog","class":"classes","events":"calendar","faq":"faq","link":"links","news":"news","page":"","person":"people","presentation":"presentations","software_project":"software","software_release":"software"},"bibcite_reference":{"*":"publications"},"paragraph":{"class_material":"classes"}},"viewmode":"teaser"},"user":{"uid":0,"permissionsHash":"84e1343d823c9414c0d7f3a57d4a3bd9c8cae72aedfc1ef67ccb045da5bac097"}},"merge":true},{"command":"add_js","selector":"body","data":[{"src":"\/files\/js\/js_aRre2DjIa6q0GZNZCswXt50ZSVMOKZov_xzwWv8IFZ0.js?scope=footer\u0026delta=0\u0026language=en\u0026theme=eligendi_lab_usf\u0026include=eJzLL44vKE3KyUxOLMnMzyvWTykqLUjM0ctHFdbLzSxO1ikrzixJ1U_OzytJrSgpTcxxK83JCctMLQcAsjEbVw"}]},{"command":"insert","method":"replaceWith","selector":"#","data":"\n\u003Cul  id=\u0022list-of-posts\u0022 more_link_id=\u0022node-readmore\u0022 class=\u0022publications view-teaser grid-view\u0022\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMurad, M.M., and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/cluster-aware-causal-mixer-online-anomaly-detection-multivariate-time-series\u0022 hreflang=\u0022en\u0022\u003ECluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series\u003C\/a\u003E\u201d. \u003Ci\u003EInternational Conference on Machine Learning (ICML)\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003ERanstrom, T., O. Jebreil, F. Razak, Y. Yilmaz, and G. Mumcu. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/analytical-and-experimental-validation-wireless-authentication-through-enhanced-rf\u0022 hreflang=\u0022en\u0022\u003EAnalytical and Experimental Validation of Wireless Authentication through Enhanced RF Fingerprints of Chaotic Antenna Arrays\u003C\/a\u003E\u201d. \u003Ci\u003EIEEE Transactions on Information Forensics and Security\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EKarim, H., and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/semvad-fusing-semantic-and-vision-features-weakly-supervised-video-anomaly-detection\u0022 hreflang=\u0022en\u0022\u003ESemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection. Transactions on Machine Learning Research\u003C\/a\u003E\u201d. \u003Ci\u003ETransactions on Machine Learning Research\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, F., M. Jones, A. Cherian, and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/leveraging-multimodal-llm-descriptions-activity-explainable-semi-supervised-video\u0022 hreflang=\u0022en\u0022\u003ELeveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection\u003C\/a\u003E\u201d. \u003Ci\u003ETransactions on Machine Learning Research\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EAhmed, S., N. Parker, M. Park, D. Jeong, L.C. Peres, E.W. Davis, J.B. Permuth, et al. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/reliable-radiologic-skeletal-muscle-area-assessment-biomarkerfor-cancer-cachexia\u0022 hreflang=\u0022en\u0022\u003EReliable Radiologic Skeletal Muscle Area Assessment -- A Biomarkerfor Cancer Cachexia Diagnosis\u003C\/a\u003E\u201d. \u003Ci\u003ECells\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, F., L. Bekit, M. Jones, A. Cherian, and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/language-models-video-anomaly-detection-dynamic-survey\u0022 hreflang=\u0022en\u0022\u003ELanguage Models in Video Anomaly Detection: A Dynamic Survey\u003C\/a\u003E\u201d. \u003Ci\u003EIEEE Access\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003Cdiv class=\u0022field field--name-publishers-version field--type-link field--label-visually_hidden field--mode-teaser\u0022\u003E\n    \u003Cdiv class=\u0022field--label sr-only\u0022\u003EPublisher\u0027s Version\u003C\/div\u003E\n              \u003Cdiv class=\u0022field--item\u0022\u003E\u003Ca href=\u0022https:\/\/dynamicvadsurvey.github.io\/\u0022\u003E\u003C\/a\u003E\u003C\/div\u003E\n          \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMurad, M.M., B. Turgut, and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/mixfix-net-dual-stage-trajectory-prediction-model-ais-and-vision-derived-vessel-data\u0022 hreflang=\u0022en\u0022\u003EMix\u0026amp;Fix-Net: A Dual-Stage Trajectory Prediction Model for AIS and Vision-Derived Vessel Data\u003C\/a\u003E\u201d. \u003Ci\u003EOcean Engineering\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EGulle, H., F. Mumcu, A. Goodrich, L. Bekit, P. Haksal, W. Johnson, I. Davis, and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/automated-segmentation-intrinsic-foot-muscles-ultrasound-using-deep-neural-networks\u0022 hreflang=\u0022en\u0022\u003EAutomated Segmentation of Intrinsic Foot Muscles in Ultrasound Using Deep Neural Networks: Development and Validation Study\u003C\/a\u003E\u201d. \u003Ci\u003EUltrasound in Medicine \u0026amp; Biology\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, Lokman Bekit, M. Jones, A. Cherian, and Y. Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/agentic-ai-empowered-dynamic-survey-framework-0\u0022 hreflang=\u0022en\u0022\u003EAgentic AI-Empowered Dynamic Survey Framework\u003C\/a\u003E\u201d. In \u003Ci\u003EThe Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS)\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003ERazak, Fawaz Abdul, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/dynamic-and-open-set-rf-fingerprinting-and-localization-crowded-indoor-environments\u0022 hreflang=\u0022en\u0022\u003EDynamic and Open-Set RF Fingerprinting and Localization in Crowded Indoor Environments through Contrastive Channel State Information Learning\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2605.15593\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EKarim, Hamza, Nghia Nguyen, Lokman Bekit, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/learning-where-and-when-patch-based-spatiotemporal-localization-weakly-supervised\u0022 hreflang=\u0022en\u0022\u003ELearning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2606.29498\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003ENguyen, Nghia T, Lokman Bekit, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/sense-vad-sentient-and-semantic-video-anomaly-detection-autonomous-driving\u0022 hreflang=\u0022en\u0022\u003ESENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2606.31875\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/submission-responsibility-matters-role-aware-submission-quotas-under-coauthorship\u0022 hreflang=\u0022en\u0022\u003ESubmission Responsibility Matters: Role-Aware Submission Quotas under Coauthorship\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2606.30285\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, Michael J Jones, Anoop Cherian, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/video-anomaly-detection-misframed-evidence-llm-based-and-multi-scene-models\u0022 hreflang=\u0022en\u0022\u003EIs Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2605.12725\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EYilmaz, Yasin, Hana Kim, William Scott Burgin, and Kung-Khoon QUAH. (2026) 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/personalized-aphasia-communication-assistant-system\u0022 hreflang=\u0022en\u0022\u003EPersonalized Aphasia Communication Assistant System\u003C\/a\u003E.\u201d\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EYilmaz, Yasin, and Furkan Mumcu. (2026) 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/system-and-method-detecting-adversarial-examples\u0022 hreflang=\u0022en\u0022\u003ESystem and Method for Detecting Adversarial Examples\u003C\/a\u003E.\u201d\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/detecting-adversarial-data-provable-adversarial-noise-amplification\u0022 hreflang=\u0022en\u0022\u003EDetecting Adversarial Data via Provable Adversarial Noise Amplification\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2605.02109\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EBekit, Lokman, Hamza Karim, Nghia T Nguyen, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/qvad-question-centric-agentic-framework-efficient-and-training-free-video-anomaly\u0022 hreflang=\u0022en\u0022\u003EQvad: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2604.03040\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMcMillen, Justin, Robert Van Alphen, Taha Sadeghi Chorsi, Jason Shabaga, Mel Rodgers, Rocco Malservisi, Timothy Dixon, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/preserving-vertical-structure-3d-2d-projection-permafrost-thaw-mapping\u0022 hreflang=\u0022en\u0022\u003EPreserving Vertical Structure in 3D-to-2D Projection for Permafrost Thaw Mapping\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2603.16788\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003ETripathi, Aakash Gireesh, Asim Waqas, Evan W Davis, Jennifer B Permuth, Jack Farinhas, Yasin Yilmaz, Matthew B Schabath, and Ghulam Rasool. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/real-world-evaluation-multimodal-ai-foundation-model-driven-multimodal-ai-gbm-nsclc\u0022 hreflang=\u0022en\u0022\u003EReal-World Evaluation of Multimodal AI: Foundation Model-Driven Multimodal AI for GBM, NSCLC, and PDAC.\u003C\/a\u003E\u201d. \u003Ci\u003ECancer Research\u003C\/i\u003E 86 (7_Supplement): 1251\u20131251.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/robustness-agentic-ai-systems-adversarially-aligned-jacobian-regularization\u0022 hreflang=\u0022en\u0022\u003ERobustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2603.04378\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/socially-weighted-alignment-game-theoretic-framework-multi-agent-llm-systems\u0022 hreflang=\u0022en\u0022\u003ESocially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2602.14471\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, Lokman Bekit, Michael J Jones, Anoop Cherian, and Yasin Yilmaz. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/agentic-ai-empowered-dynamic-survey-framework\u0022 hreflang=\u0022en\u0022\u003EAgentic Ai-Empowered Dynamic Survey Framework\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2602.04071\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EAbudalou, Shatha, Jung Choi, Kenneth Gage, Julio Pow-Sang, Yasin Yilmaz, and Yoganand Balagurunathan. 2026. \u201c\u003Ca href=\u0022\/sislab\/publications\/challenges-using-deep-neural-networks-across-multiple-readers-delineating-prostate\u0022 hreflang=\u0022en\u0022\u003EChallenges in Using Deep Neural Networks Across Multiple Readers in Delineating Prostate Gland Anatomy\u003C\/a\u003E\u201d. \u003Ci\u003EJournal of Imaging Informatics in Medicine\u003C\/i\u003E 39 (1): 532\u2013547.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMurad, M., M. Aktukmak, and Y. Yilmaz. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/wpmixer-efficient-multi-resolution-mixing-long-term-time-series-forecasting\u0022 hreflang=\u0022en\u0022\u003EWpmixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting\u003C\/a\u003E\u201d. In \u003Ci\u003EAAAI Conference on Artificial Intelligence\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003Cdiv class=\u0022field field--name-publishers-version field--type-link field--label-visually_hidden field--mode-teaser\u0022\u003E\n    \u003Cdiv class=\u0022field--label sr-only\u0022\u003EPublisher\u0027s Version\u003C\/div\u003E\n              \u003Cdiv class=\u0022field--item\u0022\u003E\u003Ca href=\u0022https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/34156\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E\u003C\/div\u003E\n          \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EAbudalou, Shatha, Jung Choi, Yasin Yilmaz, and Yoganand Balagurunathan. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/improving-prostate-gland-segmentation-using-transformer-based-architectures\u0022 hreflang=\u0022en\u0022\u003EImproving Prostate Gland Segmentation Using Transformer Based Architectures\u003C\/a\u003E\u201d. \u003Ci\u003EArXiv Preprint ArXiv:2506.14844\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EKoutsoubis, Nikolas, Asim Waqas, Yasin Yilmaz, Ravi P Ramachandran, Matthew B Schabath, and Ghulam Rasool. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/optimizing-trade-between-privacy-and-utility-medical-imaging-federated-learning-reply\u0022 hreflang=\u0022en\u0022\u003EOptimizing the Trade-off Between Privacy and Utility in Medical Imaging Federated Learning Reply\u003C\/a\u003E\u201d. \u003Ci\u003ERADIOLOGY-ARTIFICIAL INTELLIGENCE\u003C\/i\u003E 7 (4).\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EPendino, Aaron, Nghia Nguyen, Saif Nouma, Jing Wang, Attila Yavuz, Yasin Yilmaz, and Gokhan Mumcu. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/additively-manufactured-rf-electronics-structurally-integrated-physically-unclonable\u0022 hreflang=\u0022en\u0022\u003EAdditively Manufactured RF Electronics With Structurally Integrated Physically Unclonable Functions for Wireless System Security\u003C\/a\u003E\u201d. \u003Ci\u003EIEEE Access\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMcMillen, Justin, and Yasin Yilmaz. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/seggen-unreal-engine-5-pipeline-generating-multimodal-semantic-segmentation-datasets\u0022 hreflang=\u0022en\u0022\u003ESegGen: An Unreal Engine 5 Pipeline for Generating Multimodal Semantic Segmentation Datasets\u003C\/a\u003E\u201d. \u003Ci\u003ESensors\u003C\/i\u003E 25 (17): 5569.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n \u003Cli\u003E\n\u003Carticle class=\u0022bibcite-reference bibcite bibcite--teaser\u0022\u003E\n  \n  \n  \n\n  \u003Cdiv class=\u0022bibcite__content\u0022\u003E\n    \u003Cdiv class=\u0022bibcite-citation\u0022\u003E\n      \u003Cdiv class=\u0022csl-bib-body\u0022\u003E\u003Cdiv class=\u0022csl-entry\u0022\u003EMumcu, Furkan, and Yasin Yilmaz. 2025. \u201c\u003Ca href=\u0022\/sislab\/publications\/universal-and-efficient-detection-adversarial-data-through-nonuniform-impact-network\u0022 hreflang=\u0022en\u0022\u003EUniversal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers\u003C\/a\u003E\u201d. \u003Ci\u003ETransactions on Machine Learning Research (TMLR)\u003C\/i\u003E.\u003C\/div\u003E\u003C\/div\u003E\n  \u003C\/div\u003E\n\n  \u003C\/div\u003E\n\u003C\/article\u003E\n\u003C\/li\u003E\n\u003C\/ul\u003E\n  \u003Cnav role=\u0022navigation\u0022 aria-labelledby=\u0022pagination-for-publications-list\u0022 id=pager-heading\u003E\n    \u003Ch3 id=\u0022pagination-for-publications-list\u0022 class=\u0022visually-hidden\u0022\u003Epagination for publications list\u003C\/h3\u003E\n    \u003Cul class=\u0022js-pager__items pager-mini\u0022\u003E\n            \u003Cli class=\u0022current\u0022\u003E\n        \u003Cspan aria-live=\u0022polite\u0022\u003E\n            \u003Cspan class=\u0022visually-hidden\u0022\u003EPublications list\u003C\/span\u003E\n            1 of 4\n          \u003C\/span\u003E      \u003C\/li\u003E\n              \u003Cli\u003E\n          \u003Ca href=\u0022\/sislab\/refresh-widget-content\/568?page=1\u0026amp;selector=list-of-posts\u0026amp;pagerid=pager-heading\u0026amp;moreid=node-readmore\u0022 class=\u0022use-ajax next\u0022 rel=\u0022next\u0022\u003E\u003Cspan aria-hidden=\u0022true\u0022\u003E\u203a\u203a\u003C\/span\u003E\u003Cspan class=\u0022visually-hidden\u0022\u003ENext page\u003C\/span\u003E\u003C\/a\u003E\n        \u003C\/li\u003E\n          \u003C\/ul\u003E\n  \u003C\/nav\u003E\n\n\u003Cdiv class=\u0022node-readmore\u0022 id=node-readmore\u003E\n            \u003Cdiv class=\u0022field field--name-field-url-for-the-more-link field--type-link field--label-hidden field--mode-_custom field--item\u0022\u003E\u003Ca href=\u0022\/sislab\/publications\u0022\u003EMore publications\u003C\/a\u003E\u003C\/div\u003E\n      \u003C\/div\u003E\n","settings":null},{"command":"insert","method":"replaceWith","selector":"#","data":"","settings":null},{"command":"insert","method":"replaceWith","selector":"#","data":"","settings":null},{"command":"insert","method":"replaceWith","selector":".field--name-field-widget-title","data":"","settings":null}]