Knowledge-Based Systems for Ambient Social Interactions. - Xiang Su; Ekaterina Gilman; Pawel Kwiatkowski; Tomasz Latkowski; Alma Pröbstl; Bartlomiej Wójtowicz; Jukka Riekki (AmI, 2011)

Developing Gene Classifier System for Autism Recognition. - Tomasz Latkowski; Stanislaw Osowski (IWANN (2), 2015)

Computerized system for recognition of autism on the basis of gene expression microarray data. - Tomasz Latkowski; Stanislaw Osowski (Comput. Biol. Medicine, 2015)

Data mining for feature selection in gene expression autism data. - Tomasz Latkowski; Stanislaw Osowski (Expert Syst. Appl., 2015)

Automatic Speech Recognition Adaptation to the IoT Domain Dialogue System. - Maciej Zembrzuski; Heesik Jeon; Joanna Marhula; Katarzyna Beksa; Szymon Sikorski; Tomasz Latkowski; Pawel Bujnowski (ISMIS, 2017)

Gene selection in autism - Comparative study. - Tomasz Latkowski; Stanislaw Osowski (Neurocomputing, 2017)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yue Cao 009; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CVPR Workshops, 2020)

Superkernel Neural Architecture Search for Image Denoising. - Marcin Mozejko; Tomasz Latkowski; Lukasz Treszczotko; Michal Szafraniuk; Krzysztof Trojanowski (CVPR Workshops, 2020)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yun Cao 002; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CoRR, 2020)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (CoRR, 2022)