| 2025 | ICDM | Improving Generalization Capabilities of Models Trained on Time Series Data Using Novel Downsampling Methods. | Ofir Landau, Nir Nissim |
| 2021 | IJCNN | Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. | Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim |
| 2019 | IJCNN | TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning. | Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici |
| 2019 | KDD | Temporal Probabilistic Profiles for Sepsis Prediction in the ICU. | Eitam Sheetrit, Nir Nissim, Denis Klimov, Yuval Shahar |
| 2015 | AIME | An Active Learning Framework for Efficient Condition Severity Classification. | Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak |
| 2015 | ICMLA | Boosting the Detection of Malicious Documents Using Designated Active Learning Methods. | Nir Nissim, Aviad Cohen, Yuval Elovici |
| 2014 | ISI | ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files. | Nir Nissim, Aviad Cohen, Robert Moskovitch, Asaf Shabtai, Mattan Edry, Oren Bar-Ad, Yuval Elovici |
| 2008 | FUSION | Active learning to improve the detection of unknown computer worms activity. | Robert Moskovitch, Nir Nissim, Roman Englert, Yuval Elovici |
| 2008 | ISI | Unknown malcode detection via text categorization and the imbalance problem. | Robert Moskovitch, Dima Stopel, Clint Feher, Nir Nissim, Yuval Elovici |
| 2008 | KDD | Malicious Code Detection Using Active Learning. | Robert Moskovitch, Nir Nissim, Yuval Elovici |
| 2007 | ISI | Malicious Code Detection and Acquisition Using Active Learning. | Robert Moskovitch, Nir Nissim, Yuval Elovici |
| 2007 | KI | Improving the Detection of Unknown Computer Worms Activity Using Active Learning. | Robert Moskovitch, Nir Nissim, Dima Stopel, Clint Feher, Roman Englert, Yuval Elovici |