TNNLS Call For Special Papers

 


Current Special Issues:

IEEE TNNLS Special Issue on "Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications," Guest Editors: Ming Li, Zhejiang Normal University, China; Alessio Micheli, University of Pisa, Italy; Yu Guang Wang, Max Planck Institute for Mathematics in the Sciences, Germany; Shirui Pan, Monash University, Australia; Pietro Liò, University of Cambridge, UK; Giorgio Stefano Gnecco, IMT School for Advanced Studies, AXES Research Unit, Italy; Marcello Sanguineti, University of Genoa, Italy. Submission Deadline: July 31, 2021. [Call for Papers]

IEEE TNNLS Special Issue on "Deep Learning for Earth and Planetary Geosciences," Guest Editors: Antonio Paiva, ExxonMobil Research and Engineering, USA; Weichang Li, Aramco Research Center, USA; Maarten V. de Hoop, Rice University, USA; Chris A. Mattmann, NASA/JPL, USA; Youzuo Lin, Los Alamos National Laboratory, USA. Submission Deadline: March 12, 2021. [Call for Papers]


 

IEEE Transactions on Neural Networks and Learning Systems publishes special issues on emerging topics guest edited by distinguished researchers in neural networks and learning systems. Here is some information about how a special issue is organized.

Phase 1 – Proposal: Interested researchers should submit a proposal for the special issue on an emerging topic in neural networks and learning systems or its closely related areas. The proposal should be sent to the Editor-in-Chief (EiC). The proposal should include at least the following components: the theme of the special issue, its relevance/importance and need in the present context, a list of specific topics, a list of potential authors, and a feasible time table. Note that, the list of potential authors is needed just to get an idea that there are enough researchers to support such a special issue. The special issue would be organized based on an open call for paper and we do not consider special issues based on papers from a conference.

Phase 2 – Evaluation: The EiC gets the proposal evaluated by several associate editors of TNNLS. They take into account various issues including the technical merit, need and relevance, timeliness, and feasibility of such a special issue. Based on the input from the associate editors, the EiC makes a decision on the special issue proposal. The decision could be acceptance, rejection or a revision of the proposal. A revised proposal may again be reviewed by the some associate editors.

Phase 3 – Call for Papers: If a proposal is accepted, the Guest Editor is asked to prepare a call for papers (CFP) formatted to one transactions page so that it can be published in our transactions. The CFP should include all relevant information such as the theme, topics, deadlines, and submission guidelines. The CFP must include an instruction to authors suggesting them to mention something like "This paper is for the special issue on XXXX" as a note to the Editor at the time of submission through manuscriptcentral. The CFP is usually announced in the journal’s web site, circulated through CIS Newsletter and published in the CIS Transactions and Magazine.

Phase 4 – Processing: Papers submitted to the special issue are assigned to the Guest Editor for handling the review process. The review process for special issue papers is exactly the same as that for regular transactions papers. If the Guest Editor is an author of a paper submitted to the special issue, then reviewing of that manuscript is handled by a different associate editor chosen by the EiC.

Phase 5 – Publication: Once the special issue review process is complete, the EiC requests the Guest Editor to write a preface to the special issue (usually not more than 2 formatted transactions pages) for inclusion in the special issue. The special issue is then published as soon as possible.

Some general points: We do not encourage guest editors to submit papers to the special issue and under no circumstances the Guest Editor should submit more than one manuscript to the special issue. Please contact the EiC for further information.