• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 358 matches

• 2024
• 
  Mohammed Awal Kassim, Herna L. Viktor, Wojtek Michalowski:
  Multi-Label Lifelong Machine Learning: A Scoping Review of Algorithms, Techniques, and Applications. IEEE Access 12: 74539-74557 (2024)
• 
  Karim Kassem, Michela Sperti, Andrea Cavallo, Andrea Mario Vergani, Davide Fassino, Monica Moz, Alessandro Liscio, Riccardo Banali, Michael Dahlweid, Luciano Benetti, Francesco Bruno, Guglielmo Gallone, Ovidio De Filippo, Mario Iannaccone, Fabrizio D'Ascenzo, Gaetano Maria de Ferrari, Umberto Morbiducci, Emanuele Della Valle, Marco Agostino Deriu:
  An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). Artif. Intell. Medicine 151: 102841 (2024)
• 
  Evan Jåsund Kassab, Håkon Maric Solberg, Sushant Gautam, Saeed Shafiee Sabet, Thomas Torjusen, Michael Riegler, Pål Halvorsen, Cise Midoglu:
  TACDEC: Dataset of Tackle Events in Soccer Game Videos. MMSys 2024: 250-256
• 
  Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler:
  AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR abs/2402.03309 (2024)
• 
  Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla:
  Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. CoRR abs/2404.04687 (2024)
• 
  Lihong Jin, Wei Dong, Michael Kaess:
  BEVRender: Vision-based Cross-view Vehicle Registration in Off-road GNSS-denied Environment. CoRR abs/2405.09001 (2024)
• 
  Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell:
  BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. CoRR abs/2405.10871 (2024)
• 
  Moshe Shienman, Ohad Levy-Or, Michael Kaess, Vadim Indelman:
  A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces. CoRR abs/2405.16453 (2024)
• 
  Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
  Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024)
• 
  Daniel McGann, Michael Kaess:
  iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping. CoRR abs/2406.07371 (2024)
• 2023
• 
  Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
  Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023)
• 
  Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
  ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5417-5435 (2023)
• 
  Michal Kassjanski, Marcin Kulawiak, Tomasz Przewozny, Dmitry Tretiakow, Jagoda Kurylowicz, Andrzej Molisz, Krzysztof Kozminski, Aleksandra Kwasniewska, Paulina Mierzwinska-Dolny, Milosz Grono:
  Detecting type of hearing loss with different AI classification methods: a performance review. FedCSIS 2023: 1017-1022
• 
  Alan Hylton, Michael Moy, Robert Kassouf-Short, Jacob Cleveland:
  Multigraph-Based Routing in Delay Tolerant Networks: An Alternative to Contact Graph Routing. ICCCN 2023: 1-7
• 
  Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey:
  Neural Radiance Fields with LiDAR Maps. ICCV 2023: 17868-17877
• 
  Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess:
  Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. ICRA 2023: 1048-1054
• 
  Daniel McGann, John G. Rogers, Michael Kaess:
  Robust Incremental Smoothing and Mapping (riSAM). ICRA 2023: 4157-4163
• 
  Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas:
  Neural Implicit Surface Reconstruction using Imaging Sonar. ICRA 2023: 1040-1047
• 
  Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess:
  Efficient Bundle Adjustment for Coplanar Points and Lines. ICRA 2023: 8356-8363
• 
  Anjum Nazir, Michael Singh, Giuseppe Destefanis, Mohamad Kassab, Jamsheed Memon, Rumyana Neykova, Roberto Tonelli:
  Towards a Scalable Dual-Sided Blockchain Architecture with Concurrency Protocols. ICSA-C 2023: 224-230
• 
  Anjum Nazir, Michael Singh, Giuseppe Destefanis, Jamsheed Memon, Rumyana Neykova, Mohamad Kassab, Roberto Tonelli:
  An Optimized Concurrent Proof of Authority Consensus Protocol. SANER 2023: 874-877
• 
  William Bernardoni, Robert Cardona, Jacob Cleveland, Justin Curry, Robert Green, Brian Heller, Alan Hylton, Tung Lam, Robert Kassouf-Short:
  Algebraic and Geometric Models for Space Networking. CoRR abs/2304.01150 (2023)
• 
  Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W. McLain, Joshua G. Mangelson:
  Group-k consistent measurement set maximization via maximum clique over k-Uniform hypergraphs for robust multi-robot map merging. CoRR abs/2308.02674 (2023)
• 
  Mohamad Qadri, Michael Kaess:
  Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation. CoRR abs/2309.02525 (2023)
• 
  Mohamad Qadri, Zachary Manchester, Michael Kaess:
  Learning Covariances for Estimation with Constrained Bilevel Optimization. CoRR abs/2309.09718 (2023)
• 
  Daniel McGann, Kyle Lassak, Michael Kaess:
  Asynchronous Distributed Smoothing and Mapping via On-Manifold Consensus ADMM. CoRR abs/2310.12320 (2023)
• 
  Samiran Gode, Akshay Hinduja, Michael Kaess:
  SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars. CoRR abs/2310.15023 (2023)
• 
  Jui-Te Huang, Ruoyang Xu, Akshay Hinduja, Michael Kaess:
  Multi-Radar Inertial Odometry for 3D State Estimation using mmWave Imaging Radar. CoRR abs/2311.08608 (2023)
• 
  Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam:
  Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR abs/2312.13469 (2023)
• 2022
• 
  Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani, Michal J. Wesolowski, Kevin A. Schneider, Ralph Deters:
  Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models. Int. J. Medical Informatics 159: 104669 (2022)

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