• 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 64 matches

• 2024
• 
  Artem R. Muliukov:
  Joint study of self-organizing maps and deep neural networks for brain-inspired multimodal learning. (Étude croisée des cartes auto-organisatrices et des réseaux de neurones profonds pour l'apprentissage multimodal inspiré du cerveau). Côte d'Azur University, Nice, France, 2024
• 
  Mohammad Mahdi Safari, Alireza Sharifi, Javad Mahmoodi, Dariush Abbasi-Moghadam:
  Mesoscale Eddy Detection and Classification From Sea Surface Temperature Maps With Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10279-10290 (2024)
• 
  Chia-Feng Juang, Yun-Wei Cheng, Yeh-Ming Lin:
  Visually Interpretable Fuzzy Neural Classification Network With Deep Convolutional Feature Maps. IEEE Trans. Fuzzy Syst. 32(3): 1063-1077 (2024)
• 
  Minh H. Vu, Anders Garpebring, Tufve Nyholm, Tommy Löfstedt:
  Compressing the Activation Maps in Deep Convolutional Neural Networks and Its Regularizing Effect. Trans. Mach. Learn. Res. 2024 (2024)
• 2023
• 
  Simone Riggi, Daniel Magro, Renato Sortino, Andrea DeMarco, Cristobal Bordiu, Thomas Cecconello, Andrew M. Hopkins, Joshua R. Marvil, Grazia Umana, Eva Sciacca, Fabio Vitello, Filomena Bufano, Adriano Ingallinera, Giuseppe Fiameni, Concetto Spampinato, Kristian Zarb Adami:
  Astronomical source detection in radio continuum maps with deep neural networks. Astron. Comput. 42: 100682 (2023)
• 
  Wenjun Huang, Qun Sun, Anzhu Yu, Wenyue Guo, Qing Xu, Bowei Wen, Li Xu:
  Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps. ISPRS Int. J. Geo Inf. 12(3): 128 (2023)
• 
  Honghao Li, Xiran Zhou, Zhigang Yan:
  mapSR: A Deep Neural Network for Super-Resolution of Raster Map. ISPRS Int. J. Geo Inf. 12(7): 258 (2023)
• 
  Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros:
  Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. 16(4): 2202-2246 (2023)
• 
  Pieter Meiresone, David Van Hamme, Wilfried Philips:
  Segmentation of Range-Azimuth Maps of FMCW Radars with a Deep Convolutional Neural Network. ACIVS 2023: 136-147
• 
  Valerie Krug, Christopher Olson, Sebastian Stober:
  Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps. AEQUITAS@ECAI 2023
• 
  Valerie Krug, Raihan Kabir Ratul, Christopher Olson, Sebastian Stober:
  Visualizing Deep Neural Networks with Topographic Activation Maps. HHAI 2023: 138-152
• 
  Gerasimos Matidis, Basilis Gatos, Anastasios L. Kesidis, Panagiotis Kaddas:
  Detecting Text on Historical Maps by Selecting Best Candidates of Deep Neural Networks Output. ICDAR (5) 2023: 358-367
• 
  Dong Huang, Qingwen Bu, Yahao Qing, Yichao Fu, Heming Cui:
  FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks. CoRR abs/2307.11565 (2023)
• 
  Carine Menezes Rebello, Idelfonso B. R. Nogueira:
  Optimizing CO₂ Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making. CoRR abs/2312.03873 (2023)
• 2022
• 
  Aleksandra Malkova:
  Reconstruction of Radio Power Maps with Deep Neural Networks in a Weakly Labeled Learning Context. (Reconstruction de Cartes de Puissance Radio avec des réseaux de neurones profonds dans un contexte d'apprentissage faiblement étiqueté). Grenoble Alpes University, France, 2022
• 
  Emily Kaczmarek, Jina Nanayakkara, Alireza Sedghi, Mehran Pesteie, Thomas Tuschl, Neil Renwick, Parvin Mousavi:
  Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures. BMC Bioinform. 23(1): 38 (2022)
• 
  Niclas Ståhl, Lisa Weimann:
  Identifying wetland areas in historical maps using deep convolutional neural networks. Ecol. Informatics 68: 101557 (2022)
• 
  Murat Seçkin Ayhan, Louis Benedikt Kümmerle, Laura Kühlewein, Werner Inhoffen, Gulnar Aliyeva, Focke Ziemssen, Philipp Berens:
  Clinical validation of saliency maps for understanding deep neural networks in ophthalmology. Medical Image Anal. 77: 102364 (2022)
• 
  Deepak Nagar, Kiran Pannerselvam, Palaniappan Ramu:
  A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM). Neural Networks 155: 398-412 (2022)
• 
  Mariem Sehli, Dorsaf Sebai, Faouzi Ghorbel:
  WeLDCFNet: Convolutional Neural Network based on Wedgelet Filters and Learnt Deep Correlation Features for depth maps features extraction. MMSP 2022: 1-6
• 
  Shikhar Singh, James Hegarty, Hugh Leather, Benoit Steiner:
  A graph neural network-based performance model for deep learning applications. MAPS@PLDI 2022: 11-20
• 
  Christos Xydas, Anastasios L. Kesidis, Kleomenis Kalogeropoulos, Andreas Tsatsaris:
  Buildings Extraction from Historical Topographic Maps via a Deep Convolution Neural Network. VISIGRAPP (5: VISAPP) 2022: 485-492
• 
  Anish Shrestha, Kyle Mielke, Tuong Anh Nguyen, Philippe J. Giabbanelli:
  Automatically Explaining a Model: Using Deep Neural Networks to Generate Text From Causal Maps. WSC 2022: 2629-2640
• 
  Andreas Krug, Raihan Kabir Ratul, Sebastian Stober:
  Visualizing Deep Neural Networks with Topographic Activation Maps. CoRR abs/2204.03528 (2022)
• 2021
• 
  Mohammed El-Ghandour, Marwa Ismael Obayya, Bedir Bedir Yousif, Nihal Fayez Areed:
  Palmvein Recognition Using Block-Based WLD Histogram of Gabor Feature Maps and Deep Neural Network With Bayesian Optimization. IEEE Access 9: 97337-97353 (2021)
• 
  Saleh Javadi, Mattias Dahl, Mats I. Pettersson:
  Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks. IEEE Access 9: 8381-8391 (2021)
• 
  Mohsen Soltanpour, Russ Greiner, Pierre Boulanger, Brian Buck:
  Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network. Comput. Biol. Medicine 137: 104849 (2021)
• 
  Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
  Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. 33(24): 17439-17469 (2021)
• 
  Fangyu Li, Huailai Zhou, Zengyan Wang, Xinming Wu:
  ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial-Spectral Maps. IEEE Trans. Geosci. Remote. Sens. 59(2): 1733-1744 (2021)
• 
  Qing-Long Zhang, Lu Rao, Yubin Yang:
  A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation. AAAI 2021: 3377-3384

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