Using Analytic Network Process in a Group Decision-Making for Supplier Selection. - Mohammadreza Sadeghi; Mohammad Ali Rashidzadeh; Mohammad Ali Soukhakian (Informatica, 2012)

Application of Grey TOPSIS in Preference Ordering of Action Plans in Balanced Scorecard and Strategy Map. - Mohammadreza Sadeghi; Seyed Hossein Razavi; Narges Saberi (Informatica, 2013)

Robust image watermarking using sample area quantization. - Ramin Toosi; Mohammadreza Sadeghi; Mohammad Ali Akhaee (Multim. Tools Appl., 2019)

Blind gain invariant image watermarking using random projection approach. - Mohammadreza Sadeghi; Ramin Toosi; Mohammad Ali Akhaee (Signal Process., 2019)

HeRTA: Heaviside Real-Time Analysis. - Frank Slomka; Mohammadreza Sadeghi (CoRR, 2020)

IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision. - Mohammadreza Sadeghi; Narges Armanfard (ICIP, 2021)

Deep Successive Subspace Learning for Data Clustering. - Mohammadreza Sadeghi; Narges Armanfard (IJCNN, 2021)

Work-in-Progress Abstract: On the relationship between scheduling theory and real-time calculus. - Frank Slomka; Mohammadreza Sadeghi (RTCSA, 2021)

Beyond the limitations of real-time scheduling theory: a unified scheduling theory for the analysis of real-time systems. - Frank Slomka; Mohammadreza Sadeghi (SICS Softw.-Intensive Cyber Phys. Syst., 2021)

Verifiable online/offline multi-keyword search for cloud-assisted Industrial Internet of Things. - Mohammad Ali 003; Mohammadreza Sadeghi; Ximeng Liu; Yinbin Miao; Athanasios V. Vasilakos (J. Inf. Secur. Appl., 2022)

Fast and accurate spectral clustering via augmented Lagrangian. - Ramin Toosi; Mohammadreza Sadeghi; Hossein B. Yazdi; Mohammad Ali Akhaee (J. Comput. Sci., 2022)

MIAT Efficient analysis of adaptive variable-rate tasks. - Mohammadreza Sadeghi; Marco Philippi; Amir Mahdian; Frank Slomka (J. Syst. Archit., 2022)

C3: Cross-instance guided Contrastive Clustering. - Mohammadreza Sadeghi; Hadi Hojjati; Narges Armanfard (BMVC, 2023)

Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. - Hadi Hojjati; Mohammadreza Sadeghi; Narges Armanfard (ECML/PKDD (7), 2023)

Miniature Integrated 2.4 GHz Rectennas Using Novel Tunnel Diodes. - Christopher Walsh; Saad G. Muttlak; Mohammadreza Sadeghi; Mohamed Missous (Sensors, 2023)

Deep Clustering with Self-Supervision using Pairwise Similarities. - Mohammadreza Sadeghi; Narges Armanfard (CoRR, 2024)

Forward-Backward Knowledge Distillation for Continual Clustering. - Mohammadreza Sadeghi; Zihan Wang; Narges Armanfard (CoRR, 2024)

Deep Multirepresentation Learning for Data Clustering. - Mohammadreza Sadeghi; Narges Armanfard (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Clustering With Self-Supervision Using Pairwise Similarities. - Mohammadreza Sadeghi; Sareh Soleimani Gilakjani; Narges Armanfard (IEEE Access, 2025)

MoKA: Mixture of Kronecker Adapters. - Mohammadreza Sadeghi; Mahsa Ghazvini Nejad; MirHamed Jafarzadeh Asl; Yu Gu; Yuanhao Yu; Masoud Asgharian; Vahid Partovi Nia (CoRR, 2025)