1 citations · 2 across the 12 of their papers we have counts for
12 papers
Continual Visual Learning under Evolving Semantic Concept Shift
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh +2
Visual foundation models are commonly adapted under the assumption that the appearance of incoming data may change while the semantic meaning of the prediction task remains fixed.…
Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui +2
Deployed machine learning systems face distribution drift, yet most monitoring pipelines stop at alarms and leave the response underspecified under labeling, compute, and latency c…
T3C: Test-Time Tensor Compression with Consistency Guarantees
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh +2
We present T3C, a train-once, test-time budget-conditioned compression framework that exposes rank and precision as a controllable deployment knob. T3C combines elastic tensor fact…
BayesQ: Uncertainty-Guided Bayesian Quantization
Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh +2
We present BayesQ, an uncertainty-guided post-training quantization framework that is the first to optimize quantization under the posterior expected loss. BayesQ fits a lightweigh…
Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator
Chaymae Yahyati, Ismail Lamaakal, Khalid El Makkaoui +2
We introduce Simplex-FEM Networks (SiFEN), a learned piecewise-polynomial predictor that represents f: R^d -> R^k as a globally C^r finite-element field on a learned simplicial mes…
TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui +2
We introduce TCUQ, a single pass, label free uncertainty monitor for streaming TinyML that converts short horizon temporal consistency captured via lightweight signals on posterior…
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
Ismail Lamaakal, Chaymae Yahyati, Khalid El Makkaoui +2
Reliable uncertainty estimation is a key missing piece for on-device monitoring in TinyML: microcontrollers must detect failures, distribution shift, or accuracy drops under strict…
BlockMEDC: Blockchain Smart Contracts for Securing Moroccan Higher Education Digital Certificates
Mohamed Fartitchou, Ismail Lamaakal, Khalid El Makkaoui +2
Morocco's Vision 2030, known as Maroc Digital 2030, aims to position the country as a regional leader in digital technology by boosting digital infrastructure, fostering innovation…
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan +6
The rise of fake news has made the need for effective detection methods, including in languages other than English, increasingly important. The study aims to address the challenges…
Study and Development of a Symmetric protocol to secure communications in WSN
Yassine Maleh, Abdellah Ezzati
Wireless Sensor Network (WSN) is consisting of independent and distributed sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. The m…
Study and Development of a New Symmetric Key Management Scheme for Wireless Sensor Networks
Yassine Maleh, Abdellah Ezzati
Wireless Sensor Network (WSN) is consisting of independent and distributed sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. Howev…
An advanced Study on Cryptography Mechanisms for Wireless Sensor Networks
Yassine Maleh, Abdellah Ezzati
Wireless Sensor Network (WSN) is consisting of independent and distributed sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. The m…