Haytham Assem

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Machine Learning

Automatically Generate

Conversational Agents

Anomaly Detection

Top Venues

Publications

Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification. LREC/COLING (2024)
Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. CoRR (2024)
Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. NAACL-HLT (2024)
Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification. CoRR (2024)
Mihael Arcan, Sampritha H. Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar
Intent Classification by the Use of Automatically Generated Knowledge Graphs. Inf. 14 (5) (2023)
James O'Neill, Sourav Dutta, Haytham Assem
Self-distilled Pruning of Deep Neural Networks. ECML/PKDD (2) (2022)
Silviu Vlad Oprea, Sourav Dutta, Haytham Assem
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment. COLING (2022)
Sourav Dutta, Haytham Assem
Enhanced Sentence Meta-Embeddings for Textual Understanding. ECIR (2) (2022)
Edward Burgin, Sourav Dutta, Haytham Assem, Raj Nath Patel
Cage: A Hybrid Framework for Closed-Domain Conversational Agents. ECML/PKDD (6) (2022)
James O'Neill, Sourav Dutta, Haytham Assem
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. ACL (Findings) (2022)
James O'Neill, Sourav Dutta, Haytham Assem
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. CoRR (2022)
Rajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae
Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation. KDD (2022)
Haytham Assem, Rajdeep Sarkar, Sourav Dutta
Qasar: Self-Supervised Learning Framework for Extractive Question Answering. IEEE BigData (2021)
Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen, John P. McCrae
Cross-lingual Sentence Embedding using Multi-Task Learning. EMNLP (1) (2021)
Sourav Dutta, Haytham Assem, Edward Burgin
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval. CoRR (2021)
Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders. IEEE BigData (2021)
James O' Neill, Sourav Dutta, Haytham Assem
Deep Neural Compression Via Concurrent Pruning and Self-Distillation. CoRR (2021)
Koustava Goswami, Sourav Dutta, Haytham Assem
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. IEEE BigData (2021)
Haytham Assem, Sourav Dutta, Edward Burgin
DTAFA: Decoupled Training Architecture for Efficient FAQ Retrieval. SIGDIAL (2021)
Silviu Oprea, Sourav Dutta, Haytham Assem
Unsupervised Word Translation Pairing using Refinement based Point Set Registration. CoRR (2020)
Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden
Classification of Cybercrime Indicators in Open Social Data. SIMBig (2020)
Cristian Olariu, Haytham Assem, Juan Diego Ortega, Marcos Nieto
A Cloud-Based AI Framework for Machine Learning Orchestration: A "Driving or Not-Driving" Case-Study for Self-Driving Cars. IV (2019)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM (2018)
Teodora Sandra Buda, Bora Caglayan, Haytham Assem
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. PAKDD (1) (2018)
Shane Brady, Damien Magoni, John Murphy, Haytham Assem, A. Omar Portillo-Dominguez
Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things. LA-CCI (2018)
Marius Corici, Teodora Sandra Buda, Ranjan Shrestha, Eleonora Cau, Taner Metin, Haytham Assem
Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks. CSCN (2018)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
SCCD: Social Capital-Driven Career Development Framework. ASONAM (2018)
Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. ECML/PKDD (3) (2018)
Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data. ACM Trans. Intell. Syst. Technol. 8 (5) (2017)
Teodora Sandra Buda, Haytham Assem, Lei Xu
ADE: An ensemble approach for early Anomaly Detection. IM (2017)
Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill, Francesco Pilla
Urban Water Flow and Water Level Prediction Based on Deep Learning. ECML/PKDD (3) (2017)
Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail I. Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Marius Iulian Corici, Pat O'Sullivan, Robert Mullins
CogNet: A network management architecture featuring cognitive capabilities. EuCNC (2016)
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Machine learning as a service for enabling Internet of Things and People. Pers. Ubiquitous Comput. 20 (6) (2016)
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities. ICTAI (2016)
Haytham Assem, Declan O'Sullivan
Discovering New Socio-demographic Regional Patterns in Cities. LBSN@SIGSPATIAL/GIS (2016)
Gorka Vélez, Marco Quartulli, Ángel Martín, Oihana Otaegui, Haytham Assem
Machine Learning for Autonomic Network Management in a Connected Cars Scenario. Nets4Cars/Nets4Trains/Nets4Aircraft (2016)
Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Ángel Martín, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia
Can machine learning aid in delivering new use cases and scenarios in 5G? NOMS (2016)
Haytham Assem, Declan O'Sullivan
Towards Bridging the Gap between Machine Learning Researchers and Practitioners. SmartCity (2015)
Mohamed Adel, Haytham Assem, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan
Improved E-model for monitoring quality of multi-party VoIP communications. GLOBECOM Workshops (2013)
Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan
A new adaptive redundancy control algorithm for VoIP applications. GLOBECOM (2013)
Haytham Assem, Mohamed Adel, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan
A generic algorithm for mid-call audio codec switching. IM (2013)
Haytham Assem, David Malone, Jonathan Dunne, Pat O'Sullivan
Monitoring VoIP call quality using improved simplified E-model. ICNC (2013)