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ORCID3rd APPIS 2020: Las Palmas de Gran Canaria, Spain
- Nicolai Petkov, Nicola Strisciuglio, Carlos M. Travieso-González:
APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, APPIS 2020, Las Palmas de Gran Canaria Spain, 7-9 January 2020. ACM 2020, ISBN 978-1-4503-7630-3 - Antonio Greco, Christopher Pironti, Alessia Saggese, Mario Vento, Vincenzo Vigilante:
A deep learning based approach for detecting panels in photovoltaic plants. 1:1-1:7 - Antonio Roberto
, Alessia Saggese, Mario Vento:
A deep convolutionary network for automatic detection of audio events. 2:1-2:6 - Binay Dahal, Justin Zhan:
Effective Mutation and Recombination for Evolving Convolutional Networks. 3:1-3:6 - Diego F. Souza, Arthur F. Batista, Thiago M. Rocha, Cícero Augusto de Lara Pahins, Larissa M. Almeida, Fabrício D'Morison, JungYoon Cha:
WIZARD: An Intelligent Approach to Prepare Android Devices for Reproducible Tests. 4:1-4:6 - Anatolijs Zabasta, Nadezhda Kunicina, Kaspars Kondratjevs, Leonids Ribickis:
Adaptive Workflow of Service Oriented IoT Architectures for Small and Distributed Automation Systems. 5:1-5:6 - Vladislav Ostankovich, Rauf Yagfarov:
Segmification: Solving road segmentation and scene classification tasks for self-driving cars using one neural network. 6:1-6:5 - Salvatore Saiu, Enrico Grosso:
The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment. 7:1-7:6 - Dmitry Popov, Alexandr Klimchik:
Transfer Learning for Collision Localization in Collaborative Robotics. 8:1-8:7 - Conor Clare, Glenn I. Hawe, Zhiwei Lin, Sally I. McClean:
Confidence Bound Minimization for Bayesian optimization with Student's-t Processes. 9:1-9:5 - Robin Klöckner, Patrick Klose:
deep-MARLIN: Using Deep Multi-Agent Reinforcement Learning for Adaptive Traffic Light Control. 10:1-10:6 - Maryam Abdollahyan, Fabrizio Smeraldi, Rashmi Patel, Conrad Bessant:
Investigating Comorbidity of Mental and Physical Disorders in Online Health Forums. 11:1-11:5 - Lizzy Farrugia, Charlie Abela:
Mining drug-drug interactions for healthcare professionals. 12:1-12:6 - Marinella Cadoni, Andrea Lagorio, Enrico Grosso:
Do CNN's features correlate with human fixations? 13:1-13:6 - Alexander Schmidt, Florian Schellroth, Oliver Riedel:
Control architecture for embedding reinforcement learning frameworks on industrial control hardware. 14:1-14:6 - Mehdi Mekni, Zakaria Baani, Dalia Sulieman:
A Smart Virtual Assistant for Students. 15:1-15:6 - Pawel Maciejewski, Malgorzata Gawlik-Kobylinska, Jacek Lebiedz, Witold Ostant, Dogan Aydin:
To Survive in a CBRN Hostile Environment: Application of CAVE Automatic Virtual Environments in First Responder Training. 16:1-16:5 - Abhishek Kaushal, Anjali Yadav, Malay Kishore Dutta, Carlos Manuel Travieso-González, Luis Esteban-Hernández:
Low Cost Portable Diagnostic Device for Automatic Classification of the Abnormal Cardiac Sound using PGC Recording. 17:1-17:6 - Ilche Georgievski, Laura Fiorini, Marco Aiello:
Towards Service-Oriented and Intelligent Microgrids. 18:1-18:6 - Lalita Jaiswar, Anjali Yadav, Malay Kishore Dutta, Carlos Manuel Travieso-González, Luis Esteban-Hernández:
Transfer Learning based Computer Vision Technology for Assisting Visually Impaired for detection of Common Places. 19:1-19:6 - Astha Singh, Ankit Kumar, Malay Kishore Dutta, Carlos Manuel Travieso-González, Luis Esteban-Hernández:
Perspective Approach for Security of Biometric Image. 20:1-20:7 - Tatsuki Fujii, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga:
Generating Cooking Recipes from Cooking Videos Using Deep Learning Considering Previous Process with Video Encoding. 21:1-21:5 - Simone Coscetti, Davide Moroni, Gabriele Pieri, Marco Tampucci:
Factory Maintenance Application Using Augmented Reality. 22:1-22:6 - Yanni Xu, Sébastien Thomassey, Xianyi Zeng:
An Application of Machine Learning to Marker Prediction in Garment Industry: Marker Length Estimation by Neural Network for the Exponentially Increasing Magnitude of Possible Size Combinations. 23:1-23:5 - Pepe Ojeda, Javier Monroy, Javier González Jiménez:
An Evaluation of Gas Source Localization Algorithms for Mobile Robots. 24:1-24:6 - Shadi Shahoud, Hatem Khalloof, Clemens Düpmeier, Veit Hagenmeyer:
Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting. 25:1-25:6 - Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, Ernest Mwebaze:
Early detection of plant diseases using spectral data. 26:1-26:6 - Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Giuseppe De Pietro:
A CNN based monitoring system to minimize medication errors during treatment process at home. 27:1-27:5 - Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus Zaharia, Bernard Gosselin, Thierry Dutoit:
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. 28:1-28:6 - Samuel-Felipe Baltanas, José-Raúl Ruiz-Sarmiento, Javier González Jiménez:
A Face Recognition System for Assistive Robots. 29:1-29:6 - Jiaqi Zhang, Xiaoyi Jiang:
Improved Computation of Affine Dynamic Time Warping. 30:1-30:5
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